Simulate Longitudinal Dataset with Time-Varying Correlated Covariates

Documentation for package ‘SimTimeVar’ version 1.0.0

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