Error(s) in re-building vignettes:
  ...
--- re-building ‘user_guide.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) not available. Falling back to R Markdown v1.
User provides one mean of covariate in internal trials. This value is used for all covariates
User provides one mean of covariate in external trials. This value is used for all covariates
User provides one number for variance. This variance is used for all covariates
User provides one number: 0.7 for covariance. This covariance is used for all covariates
User provides one number for probability for the binary covariate in the internal trial. This probability is used for all binary covariates
Probability of binary covariate in the external trial is not recognized or correctly specified. mu_int is used.
The sample size for internal control, internal treatment, and external control arms are 200, 180, and 400, respectively.
------------------- #1of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =47
------------------- #2of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =48
------------------- #3of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =49
------------------- #4of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =50
------------------- #5of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =51
------------------- #6of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =52
------------------- #7of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =53
------------------- #8of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =54
------------------- #9of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =55
------------------- #10of 10simulation: #1of HR =0.67, #1of driftHR = 1, seed =56
------------------- #1of 10simulation: #2of HR =1, #1of driftHR = 1, seed =57
------------------- #2of 10simulation: #2of HR =1, #1of driftHR = 1, seed =58
------------------- #3of 10simulation: #2of HR =1, #1of driftHR = 1, seed =59
------------------- #4of 10simulation: #2of HR =1, #1of driftHR = 1, seed =60
------------------- #5of 10simulation: #2of HR =1, #1of driftHR = 1, seed =61
------------------- #6of 10simulation: #2of HR =1, #1of driftHR = 1, seed =62
------------------- #7of 10simulation: #2of HR =1, #1of driftHR = 1, seed =63
------------------- #8of 10simulation: #2of HR =1, #1of driftHR = 1, seed =64
------------------- #9of 10simulation: #2of HR =1, #1of driftHR = 1, seed =65
------------------- #10of 10simulation: #2of HR =1, #1of driftHR = 1, seed =66
------------------- #1of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =67
------------------- #2of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =68
------------------- #3of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =69
------------------- #4of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =70
------------------- #5of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =71
------------------- #6of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =72
------------------- #7of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =73
------------------- #8of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =74
------------------- #9of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =75
------------------- #10of 10simulation: #1of HR =0.67, #2of driftHR = 1.2, seed =76
------------------- #1of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =77
------------------- #2of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =78
------------------- #3of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =79
------------------- #4of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =80
------------------- #5of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =81
------------------- #6of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =82
------------------- #7of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =83
------------------- #8of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =84
------------------- #9of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =85
------------------- #10of 10simulation: #2of HR =1, #2of driftHR = 1.2, seed =86
Simulated covariates are not saved.
Dropout rate per unit time for treatment arm (etaE) is not specified correcly. Disregard this warning if this is for external trial. Otherwise the same dropout rate as eta is used.

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD123patients were enrolled in the trial after 29.3209936409867days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD123patients were enrolled in the trial after 24.8297853590837days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD119patients were enrolled in the trial after 29.2580455865853days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD129patients were enrolled in the trial after 28.1704937080857days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD91patients were enrolled in the trial after 33.4402144483564days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD95patients were enrolled in the trial after 31.3132785933807days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD82patients were enrolled in the trial after 28.258945634508days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD114patients were enrolled in the trial after 26.452894844909days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD64patients were enrolled in the trial after 30.4937349328204days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD100patients were enrolled in the trial after 30.6197275682546days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD106patients were enrolled in the trial after 32.789181645233days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD80patients were enrolled in the trial after 31.1819849873218days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD96patients were enrolled in the trial after 31.7904141870751days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD125patients were enrolled in the trial after 26.8346056277days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD103patients were enrolled in the trial after 30.0641846562438days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD90patients were enrolled in the trial after 33.206492895077days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD84patients were enrolled in the trial after 33.6244050982299days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD72patients were enrolled in the trial after 31.6576152798542days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD112patients were enrolled in the trial after 26.3302443381882days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD54patients were enrolled in the trial after 35.0098989487024days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD96patients were enrolled in the trial after 33.0844316402129days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD102patients were enrolled in the trial after 28.5586723455259days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD113patients were enrolled in the trial after 27.9262448320877days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD111patients were enrolled in the trial after 28.2138135965473days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD111patients were enrolled in the trial after 28.3569002152309days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD102patients were enrolled in the trial after 29.2240809123725days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD133patients were enrolled in the trial after 27.3101349573672days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD90patients were enrolled in the trial after 27.4631515311992days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD114patients were enrolled in the trial after 31.2853050519799days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD98patients were enrolled in the trial after 31.420257462804days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD113patients were enrolled in the trial after 25.2098480400116days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD119patients were enrolled in the trial after 28.9382124882184days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD70patients were enrolled in the trial after 34.2301139062202days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD104patients were enrolled in the trial after 30.6713717316285days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD101patients were enrolled in the trial after 30.9207203214587days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD104patients were enrolled in the trial after 27.59892832894days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD103patients were enrolled in the trial after 29.6365570104664days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD104patients were enrolled in the trial after 30.5151604342366days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD116patients were enrolled in the trial after 26.5893368453409days and were excluded from the analysis

0 patients enrolled after 45 days after the study started were excluded from the analysis.
User chooses to let number of events drive the CCOD107patients were enrolled in the trial after 29.6764356903443days and were excluded from the analysis
Simulated time are not saved.
------------------- Running MCMC: #1 of 40 simulated dataset with seed = 47
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #2 of 40 simulated dataset with seed = 48
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #3 of 40 simulated dataset with seed = 49
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #4 of 40 simulated dataset with seed = 50
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #5 of 40 simulated dataset with seed = 51
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #6 of 40 simulated dataset with seed = 52
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #7 of 40 simulated dataset with seed = 53
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #8 of 40 simulated dataset with seed = 54
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #9 of 40 simulated dataset with seed = 55
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #10 of 40 simulated dataset with seed = 56
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #11 of 40 simulated dataset with seed = 57
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #12 of 40 simulated dataset with seed = 58
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #13 of 40 simulated dataset with seed = 59
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #14 of 40 simulated dataset with seed = 60
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #15 of 40 simulated dataset with seed = 61
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #16 of 40 simulated dataset with seed = 62
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #17 of 40 simulated dataset with seed = 63
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
Input all is found in pred. Any other input is disregarded.
Warning in jags.model(prior_txt, data = data_list, inits = inits_list, n.chains = n.chains,  :
  Adaptation incomplete
------------------- Running MCMC: #18 of 40 simulated dataset with seed = 64
Input all is found in pred. Any other input is disregarded.