Man pages for NErler/simvalidator
Validation of Statistical Models via Simulation
| add_samples_adaptive | Add samples adaptively |
| as_inits | Return the current state of a 'JointAI' model as list to be... |
| create_missings | Create missing values in a 'data.frame' |
| create_report | Create a html report of a simulation result using rmarkdown |
| create_simulation_scenario | Create a simulation scenario from a JointAI object |
| delete_MAR | Create MAR missingness |
| delete_MCAR | Create MCAR missingness |
| extract_basehaz | Extract the posterior mean of the regression coefficients for... |
| extract_basehaz_knots | Extract the knots used for the spline specification of the... |
| extract_covar_pars | Extract parameters necessary to simulate covariate data from... |
| extract_mean_cens | Extract the mean censoring time form an object of class... |
| extract_outcome_pars | Extract parameters necessary to simulate an outome from an... |
| extract_rd_vcov | Extract the posterior mean of the random effects... |
| extract_reg_coefs | Extract the posterior mean of the regression coefficients... |
| extract_resid_sd | Extract the posterior mean of the residual standard... |
| extract_types | Extract the model types of longitudinal variables from an... |
| fit_models | Fit one more multiple models and obtain the model result |
| get_compl_data_info | Summarize information of the complete simulated data |
| get_data_info | Summarize information of the simulated data |
| get_inits_JM | Generate initial values for a JointAI joint model |
| get_miss_data_info | Summarize information of the incomplete simulated data |
| get_res_df | Convert the simulation results into a data.frame The... |
| get_result_default | Extract a summary of the model results from a standard model... |
| get_result_JointAI | Extract a summary of the model results from a JointAI model... |
| get_result_lme4 | Extract a summary of the model results from a lme4 model This... |
| JM_imp_adaptive | Run a joint model with adaptively increasing the number of... |
| lme_imp_adaptive | Run a joint model with adaptively increasing the number of... |
| make_mv_vcov | Combine multiple variance-covariance matrices to one... |
| make_vcov | Create a variance-covariance matrix from a vector of... |
| reexports | Objects exported from other packages |
| run_gr_check | Check the Gelman-Rubin criterion for a 'JointAI' object and... |
| run_jointai_flex | Run a JointAI model with flexible number of iterations |
| run_sim | Run simulation |
| set_model | Set a model specification |
| set_scenarios | Create a data.frame of the scenarios to run. A scenario... |
| sim_corr_unif | Simulate uniformly distributed correlation elements for a... |
| sim_covars_mvn | Simulate data from a multivariate normal distribution |
| sim_data | Simulate data |
| sim_outcome_glmm | Simulate a (multivariate) longitudinal outcome |
| sim_outcome_joint_model | Simulate a survival and longitudinal outcome for a joint... |
| sim_outcome_lm | Simulate a conditionally normally distributed outcome |
| sim_outcome_survival | Simulate a survival outcome |
| simvalidator | Simvalidator: validation of model performance via simulation |
