wrap_cml_lasso_lbfgs_optimized: Title Wrapper function for use in simulation studied, taking...

In submission-user/cmlDIFlasso: DIF-detection with Lasso-methods in a cML-Framework

Description

Title Wrapper function for use in simulation studied, taking all parameters, passing them to sim_scenario_DIF_data and computing results via cml_lasso_win_lbfgs_optimized

Usage

wrap_cml_lasso_lbfgs_optimized(
  n,
  I,
  nvars,
  seed,
  nlambdas,
  betavalues = rep(0, I),
  deltavalues = matrix(c(-0.5, 0, 0, 0, 0.5), nvars, I),
  thetavalues = rep(0, n),
  covariatevalues = matrix(rnorm(n * nvars), n, nvars),
  no_of_cores_used = "unknown"
)

Arguments

n	number of persons (only used of if not specified below)
I	number of items (only used of if not specified below)
nvars	number of covariates (only used if not specified below)
seed	seed for data simulation
betavalues	Vector with true values of the item parameters.
deltavalues	Matrix with the true values of the delta parameters (ncovs x nitems)
covariatevalues	Matrix of covariate values of all persons (n x ncovs)
no_of_cores_used	Number of cores to be used for parallel computing

Value

list of results and simulation scenario details.

submission-user/cmlDIFlasso documentation built on Dec. 23, 2021, 6:40 a.m.