RM_DIF_nlm: Rasch model with DIF via nlm

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

Description

optimizes loss_function with DIF-part for certain tuning-parameter lambda

Usage

RM_DIF_nlm(
  data,
  covariates,
  DIF_type,
  lambda,
  starting_betas,
  starting_deltas,
  restr_pen = TRUE,
  lambda_restr = 100,
  ...
)

Arguments

data	matrix of responses
covariates	Matrix of covariate values of all persons (n x num. of covs)
DIF_type	should DIF be calculated? options: "items", "variables", "all.interactions"
lambda	strength of penalization
starting_betas	beta_intercepts starting values for all items (vector)
starting_deltas	starting values for DIF-parameters as matrix (ncovs x nitems)
restr_pen	For additional penalization to ensure zero sum of intercepts
lambda_restr	penalization parameter for restriction
...	other arguments to be passed

Value

result of nlm-optimization for DIF-model via cML-loss-function for a certain penalisation-type and lambda value

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