Running ‘testthat.R’ [91s/105s]
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: 0.001440441
  Component "Q": Mean relative difference: 0.01428987
  Component "F": Mean relative difference: 0.05466145
  Component "EM_ests": Component "fixed_effects": Mean relative difference: 0.0007426596
  Component "EM_ests": Component "F": Mean relative difference: 0.03619963
  Component "EM_ests": Component "Q": Mean relative difference: 0.007713569
  Component "log_likes": Mean relative difference: 1.46462e-06
  Component "effective_sample_size": Component "forward_clouds": Mean relative difference: 0.0001395776
  Component "effective_sample_size": Component "backward_clouds": Mean relative difference: 0.04738443
  ...
  
  ── 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 "fixed_effects": Mean relative difference: 0.001037355
  Component "Q": Mean relative difference: 0.03422884
  Component "F": Mean relative difference: 0.8201977
  Component "EM_ests": Component "fixed_effects": Mean relative difference: 0.001301917
  Component "EM_ests": Component "F": Mean relative difference: 0.7620136
  Component "EM_ests": Component "Q": Mean relative difference: 0.02711543
  Component "effective_sample_size": Component "forward_clouds": Mean relative difference: 0.004745622
  Component "effective_sample_size": Component "backward_clouds": Mean relative difference: 0.05024222
  Component "effective_sample_size": Component "smoothed_clouds": Mean relative difference: 0.0195909
  ...
  
  ══ DONE ════════════════════════════════════════════════════════════════════════
  Error: Test failures
  Execution halted