R: Simulate Longitudinal Dataset with Time-Varying Correlated Covariates

# Simulate Longitudinal Dataset with Time-Varying Correlated Covariates

## Documentation for package ‘SimTimeVar’ version 1.0.0

- DESCRIPTION file

## Help Pages

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 variables
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 cluster
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