get_lambdas: get_lambdas

In IRTM: Theory-Driven Item Response Theory (IRT) Models

get_lambdas

Description

Takes as input the array of lambdas from the irt list, a vector of item names (can be taken from either Y_in or M_matrix), a vector of dimension names, and, optionally, a vector comprising elaborations about each item. Returns a list containing a data frame with the mean lambdas for each item-dimension pair, possibly attaching elaborations to each item's string, and a data frame with the items with the highest mean values of lambda for each dimension in order

Usage

get_lambdas(lambda_array, item_names, dim_names, item_elab = NULL)

Arguments

lambda_array	An array of dimension (K x d x nsamp/thin) containing posterior samples of item discrimination parameters.
item_names	Vector of item names.
dim_names	Vector of dimension names.
item_elab	A vector comprising elaborations about each item (Default = NULL).

Value

A list containing the following components:

av_lams	A data frame of dimension (K x (1+d)) containing averages of item discrimination parameters.
high_lams	A data frame of dimension (K x d) containing an ordered list of the items with the highest mean values of lambda for each dimension.

IRTM documentation built on June 8, 2025, 10:46 a.m.