helpers: Helper Functions

In Rirt: Data Analysis and Parameter Estimation Using Item Response Theory

Description

model_polytomous_3dindex creates indices extracting 3D stats

model_polytomous_3dresponse converts responses from 2D to 3D

hermite_gauss stores pre-computed hermite gaussian quadratures points and weights

nr_iteration updates the parameters using the Newton-Raphson method

Usage

model_polytomous_3dindex(u)

model_polytomous_3dresponse(u)

hermite_gauss(degree = c("20", "11", "7"))

nr_iteration(param, free, dv, h_max, lr, bound)

estimate_3pl_debug(tracking, k)

estimate_3pl_eval(true_params, t, a, b, c, t_free, a_free, b_free, c_free)

estimate_gpcm_debug(tracking, k)

estimate_gpcm_eval(true_params, n_c, t, a, b, d, t_free, a_free, b_free,
  d_free)

estimate_grm_debug(tracking, k)

estimate_grm_eval(true_params, n_c, t, a, b, t_free, a_free, b_free)

Arguments

u	the observed response, 2d matrix, values start from 0
degree	the degree of hermite-gauss quadrature: '20', '11', '7'
param	the parameter being estimated
free	TRUE to free parameters, otherwise fix parameters
dv	the first and second derivatives
h_max	the maximum value of h
lr	the learning rate
bound	the lower and upper bounds of the parameter
tracking	estimation tracking information
k	the number of iterations in estimation
true_params	a list of true parameters
t	estimated ability parameters
a	estimated discrimination parameters
b	estimated difficulty parameters
c	estimated guessing parameters
t_free	TRUE to estimate ability parameters, otherwise fix
a_free	TRUE to estimate discrimination parameters, otherwise fix
b_free	TRUE to estimate difficulty parameters, otherwise fix
c_free	TRUE to estimate guessing parameters, otherwise fix

Rirt documentation built on Oct. 30, 2019, 12:13 p.m.