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Specify covariates for simulation study

Source: R/sim_covariates.R
sim_covariates.Rd

Provide details on the desired covariate distributions and covariance for for a simulation study.

Usage

sim_covariates(
  covariates,
  covariance_internal,
  covariance_external = covariance_internal
)

Arguments

covariates

list. Named list of covariate mean values or probabilities as generated through bin_var() (class SimVarBin or cont_var() (class SimVarCont). See details for more information.

covariance_internal

matrix. Covariance matrix before binarization for internal patients.

covariance_external

matrix. Covariance matrix before binarization for external patients. Defaults to the internal covariance.

Value

Object of class SimCovariates

Details

This function is intended to specify the number of covariates and relationships between them for the purposes of designing a simulation study in psborrow2. Because the outcome model does not necessarily need to adjust for covariates, this function is not necessary in create_simulation_obj(). The relationship between the treatment and the outcome is specified elsewhere (i.e, in sim_survival() or sim_binary_event()).

We need a few things to

See also

Other simulation: sim_samplesize()

Examples


set.seed(123)
covmat <- matrix(rWishart(1, 2, diag(2)), ncol = 2)

covset1 <- sim_covariates(
  covariates = list(
    cov1 = bin_var(0.5, 0.5),
    cov2 = cont_var(100, 130)
  ),
  covariance_internal = covmat
)