CRAN Package Check Results for Package dynamichazard

Last updated on 2020-09-26 02:09:13 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.6.6 637.99 222.25 860.24 OK
r-devel-linux-x86_64-debian-gcc 0.6.6 496.14 168.55 664.69 OK
r-devel-linux-x86_64-fedora-clang 0.6.6 1193.39 NOTE
r-devel-linux-x86_64-fedora-gcc 0.6.6 1224.37 OK
r-devel-windows-ix86+x86_64 0.6.6 1448.00 396.00 1844.00 NOTE
r-patched-linux-x86_64 0.6.6 500.24 214.94 715.18 OK
r-patched-solaris-x86 0.6.6 972.60 ERROR
r-release-linux-x86_64 0.6.6 508.11 216.03 724.14 OK
r-release-macos-x86_64 0.6.6 NOTE
r-release-windows-ix86+x86_64 0.6.6 1293.00 419.00 1712.00 NOTE
r-oldrel-macos-x86_64 0.6.6 NOTE
r-oldrel-windows-ix86+x86_64 0.6.6 1315.00 433.00 1748.00 NOTE

Check Details

Version: 0.6.6
Check: installed package size
Result: NOTE
     installed size is 39.1Mb
     sub-directories of 1Mb or more:
     data 4.2Mb
     doc 1.7Mb
     libs 32.7Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.6.6
Check: tests
Result: ERROR
     Running ‘testthat.R’ [90s/98s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > # Had the same issue as in this thread: https://github.com/hadley/testthat/issues/86
     > Sys.setenv("R_TESTS" = "")
     >
     > options(deparse.max.lines = 5, testthat.summary.max_reports = 1000L)
     > testthat::test_check("dynamichazard", reporter = "summary")
     Loading required package: dynamichazard
     Loading required package: survival
     Tracing function "expect_known_value" in package "testthat"
     Tracing function "expect_known_output" in package "testthat"
     Loading required package: DBI
     Running tests for GMA: ..................
     Testing LAPACK wrapper functions: ..............................................
     Running test_PF: ........................................................................................................................................................................................................SS...SSSSSSSS..S12SS..SSSSSSSSSSSS
     Testing SMA: ................................
     Testing UKF: ..WWWWWW..WWWWWW...WWW.WWWWWW..WWW..WWW..WWW..WWW..WWW..WWW..WWW..WWW.
     Testing bigglm_wrapper: ..........
     Testing boot: ...S..................................................................................................................................................................................................................................................................................................................................................................................................................
     testing cloglog link function: ....S
     Testing cpp sampling functions: ..................................................................................................................................................................................................................................................................................................................................................................................................................S.............................................................S....
     Running test_cpp_utils.R:: .S............
     Testing ddhazard w/ generic things and w/ the the EKF : .....................S.........WWW.......
     Testing design_mat_and_risk_obj: ............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
     Testing fixed_effects_in_E_step: .........
     Testing test_fixed_effects_in_M_step: ..........S..
     Testing 'get_start_values': ....................
     Running tests for hatvalues: ....
     Testing examples in man files: .......S.S....SSSS........S
     Testing loglike: ....................WWWW.WWWW...
     Testing options: .
     Testing parallelglm vs. glm: ................................................S
     Testing plot functions: ..................WWW....................
     Testing predict: .......................................................................WWW........SS
     Testing print function: ...SS.....
     Testing residuals functions: ..................................................................................................................................................................................................SS
     Testing shiny app: ..
     Testing static_glm: WWW...WWWWWW.WWW.WWW.WWW.WWW.....WWWWWW.WWW....WWWWWW.WWW...........
     Testing summary function: .................
     Testing test_utils: ............S......................................
     Testing weights in fit: ................
    
     ══ Skipped ═════════════════════════════════════════════════════════════════════
     1. PF_smooth gives same results (@test_PF.R#71) - Reason: On CRAN
    
     2. Import and export PF cloud from Rcpp gives the same (@test_PF.R#249) - Reason: On CRAN
    
     3. PF_EM gives previous results on head neck data set (@test_PF.R#342) - Reason: On CRAN
    
     4. PF_EM gives previous results on head neck data set with fixed effects and the logit model (@test_PF.R#409) - Reason: On CRAN
    
     5. compute_PF_summary_stats gives previous results (@test_PF.R#434) - Reason: On CRAN
    
     6. 'get_cloud_means' and 'get_cloud_quantiles' gives previous results (@test_PF.R#508) - Reason: On CRAN
    
     7. 'get_ancestors' yields the correct result (@test_PF.R#558) - Reason: On CRAN
    
     8. ´est_params_dens´ gives the same as a R version (@test_PF.R#580) - Reason: On CRAN
    
     9. fixed effect estimation gives the same as an R implementation (@test_PF.R#628) - Reason: On CRAN
    
     10. A few iterations with `type = "VAR"' yields the same as before (@test_PF.R#709) - Reason: On CRAN
    
     11. PF_EM gives the same with restricted and unrestricted model when we estimate all the parameters (@test_PF.R#781) - Reason: On CRAN
    
     12. Using `n_smooth_final` works as expected and yields previous results (@test_PF.R#891) - Reason: On CRAN
    
     13. sampling with a t-distribution gives previous results (@test_PF.R#959) - Reason: On CRAN
    
     14. 'PF_forward_filter' gives the same as 'PF_EM' when it should (@test_PF.R#997) - Reason: On CRAN
    
     15. 'state_fw' gives correct results (@test_PF.R#1126) - Reason: !dir.exists("pf-internals") is TRUE
    
     16. 'state_bw' gives correct results (@test_PF.R#1162) - Reason: !dir.exists("pf-internals") is TRUE
    
     17. 'artificial_prior' gives correct results (@test_PF.R#1197) - Reason: !dir.exists("pf-internals") is TRUE
    
     18. 'observational_cdist' gives correct results (@test_PF.R#1231) - Reason: !dir.exists("pf-internals") is TRUE
    
     19. combining forward and backwards works (@test_PF.R#1276) - Reason: !dir.exists("pf-internals") is TRUE
    
     20. combining prior and backwards works (@test_PF.R#1323) - Reason: !dir.exists("pf-internals") is TRUE
    
     21. mode approximations give expected result (@test_PF.R#1361) - Reason: !dir.exists("pf-internals") is TRUE
    
     22. 'PF_get_score_n_hess' gives the same as an R implementation (@test_PF.R#1481) - Reason: On CRAN
    
     23. warns with randow walk model when covariates are in both fixed and random (@test_PF.R#1619) - Reason: On CRAN
    
     24. works when there are time periods outside where we have data and with a single fixed and random effect (@test_PF.R#1640) - Reason: On CRAN
    
     25. 'fix_seed = FALSE' yields different results at each call (@test_PF.R#1665) - Reason: On CRAN
    
     26. boot yields previously computed values with pbc (@test_boot_est.R#19) - Reason: On CRAN
    
     27. cloglog function gives previous result with simulated data using PF_EM and PF_forward_filter (@test_cloglog.R#56) - Reason: On CRAN
    
     28. mvrnorm gives expected sample mean and variance (@test_cpp_sample_funcs.R#50) - Reason: On CRAN
    
     29. 'mvtrnorm' yields close to uniform sample (@test_cpp_sample_funcs.R#111) - Reason: On CRAN
    
     30. trunc_lp_in_exponential_dist does not truncate when not needed (@test_cpp_utils.R#12) - Reason: On CRAN
    
     31. Different non-integer time_scales gives the same result with ddhazard (@test_ddhazard_n_EKF.R#165) - Reason: On CRAN
    
     32. posterior_approx gives previous found values with fixed effects in M-step (@test_fixed_effects_in_M_step.R#187) - Reason: On CRAN
    
     33. residuals.ddhazard help page examples gives the same results (@test_help_page_examples.R#43) - Reason: On CRAN
    
     34. ddhazard_boot help page examples gives the same results (@test_help_page_examples.R#67) - Reason: On CRAN
    
     35. PF_EM help page example runs and gives previous computed results (@test_help_page_examples.R#129) - Reason: On CRAN
    
     36. Second example on PF help page gives the same result (@test_help_page_examples.R#170) - Reason: On CRAN
    
     37. example in 'PF_EM' with gives previous results w/ a few iterations (@test_help_page_examples.R#226) - Reason: On CRAN
    
     38. `PF_forward_filter` the results stated in the comments and does not alter the .Random.seed as stated on the help page (@test_help_page_examples.R#357) - Reason: On CRAN
    
     39. 'PF_get_score_n_hess' gives previous results (@test_help_page_examples.R#515) - Reason: On CRAN
    
     40. glm and parallelglm gives the same (@test_parallelglm.R#80) - Reason: On CRAN
    
     41. Terms from predict with exponential outcome are correct (@test_predict.R#413) - Reason: On CRAN
    
     42. Different non-integer time_scales gives the same result with predict results (@test_predict.R#474) - Reason: On CRAN
    
     43. print.ddhazard_boot gives the expected output (@test_print.R#39) - Reason: On CRAN
    
     44. Print function for PF objects gives previous results (@test_print.R#89) - Reason: On CRAN
    
     45. Gets previous results with Rossi (@test_residuals.R#209) - Reason: On CRAN
    
     46. Get prevoius residuals with whas500 (@test_residuals.R#236) - Reason: On CRAN
    
     47. Testing util functions to sim series for tests (@test_test_utils.R#28) - Reason: On CRAN
    
     ══ Warnings ════════════════════════════════════════════════════════════════════
     1. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     2. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     3. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     4. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     5. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     6. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     7. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     8. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     9. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     10. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     11. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     12. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     13. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     14. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     15. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     16. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     17. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     18. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     19. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     20. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     21. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     22. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     23. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     24. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     25. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     26. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     27. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     28. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     29. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     30. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     31. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     32. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     33. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     34. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     35. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     36. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     37. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     38. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     39. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     40. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     41. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     42. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     43. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     44. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     45. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     46. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     47. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     48. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     49. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     50. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     51. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     52. logLik for simulated data versus old results (@test_loglike.R#181) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     53. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     54. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     55. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     56. logLik for simulated data versus old results (@test_loglike.R#202) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     57. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     58. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     59. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     60. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!
    
     61. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!
    
     62. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!
    
     63. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     64. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     65. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     66. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     67. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     68. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     69. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     70. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     71. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     72. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     73. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     74. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     75. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     76. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     77. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     78. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     79. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     80. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     81. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     82. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     83. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
    
     84. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     85. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     86. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     87. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     88. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     89. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     90. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     91. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     92. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     93. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     94. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     95. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     96. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     97. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     98. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     99. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     100. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     101. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
    
     ══ Failed ══════════════════════════════════════════════════════════════════════
     ── 1. Failure: type = 'VAR' works with non-zero mean with a single term and give
     pf_Fear[!names(pf_Fear) %in% c("clouds", "terms")] has changed from known value recorded in './previous_results/PF_VARS_non_zero_mean_inter.RDS'.
     Component "fixed_effects": Mean relative difference: 0.003462842
     Component "Q": Mean relative difference: 0.003804592
     Component "F": Mean relative difference: 0.01190533
     Component "EM_ests": Component "fixed_effects": Mean relative difference: 0.001781159
     Component "EM_ests": Component "F": Mean relative difference: 0.008516857
     Component "EM_ests": Component "Q": Mean relative difference: 0.0023016
     Component "log_likes": Mean relative difference: 1.272538e-05
     Component "effective_sample_size": Component "forward_clouds": Mean relative difference: 0.0001267998
     Component "effective_sample_size": Component "backward_clouds": Mean relative difference: 0.0761331
     ...
    
     ── 2. Failure: type = 'VAR' works with non-zero mean with a single term and give
     pf_Fear[!names(pf_Fear) %in% c("clouds", "terms")] has changed from known value recorded in './previous_results/PF_VARS_non_zero_mean_slope.RDS'.
     Component "Q": Mean relative difference: 0.01693558
     Component "F": Mean relative difference: 0.8197892
     Component "EM_ests": Component "F": Mean relative difference: 0.7939769
     Component "EM_ests": Component "Q": Mean relative difference: 0.01184449
     Component "effective_sample_size": Component "forward_clouds": Mean relative difference: 0.1430758
     Component "effective_sample_size": Component "backward_clouds": Mean relative difference: 0.06094503
     Component "effective_sample_size": Component "smoothed_clouds": Mean relative difference: 0.01699351
     Component "seed": Mean relative difference: 0.007246377
    
     ══ DONE ════════════════════════════════════════════════════════════════════════
     Error: Test failures
     Execution halted
Flavor: r-patched-solaris-x86