Man pages for SimTimeVar
Simulate Longitudinal Dataset with Time-Varying Correlated Covariates
| add_one_categorical | Generate linear predictor from logistic model |
| add_time_function_vars | Creates linear time-function variables |
| BN.rBound | Maximum correlation between binary and normal random... |
| cat.params | An example dataframe for categorical variable parameters |
| closest | Return closest value |
| complete_parameters | Fill in partially incomplete parameters matrix |
| expand_matrix | Longitudinally expand a matrix of single observations by... |
| expand_subjects | Longitudinally expand a cluster |
| has_drug_suffix | Checks whether string has "_s" suffix |
| make_one_dataset | Simulate time-varying covariates |
| make_one_linear_pred | Generate linear predictor from logistic model |
| mod.jointly.generate.binary.normal | Return closest value |
| override_static | Override static variable |
| override_tbin_probs | Override probabilities for time-varying binary variables |
| params | An example parameters dataframe |
| pcor | An example across-cluster correlation dataframe |
| proportionize | Turn a number into a valid proportion |
| upper_tri_vec | Turn symmetric matrix into vector |
| wcor | An example within-cluster correlation dataframe |
