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cogirt (version 1.0.0)

Cognitive Testing Using Item Response Theory

Description

Psychometrically analyze latent individual differences related to tasks, interventions, or maturational/aging effects in the context of experimental or longitudinal cognitive research using methods first described by Thomas et al. (2020) .

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Version

Install

install.packages('cogirt')

Monthly Downloads

134

Version

1.0.0

License

GPL (>= 3)

Maintainer

Michael Thomas

Last Published

February 7th, 2025

Functions in cogirt (1.0.0)

mhmc_sc

MHMC Parameter Estimates for Single Chain
lrt

Method of anova for cogirt S3
ex1

Simulated Data for a Unidimensional Two-Parameter Item Response Model
ex3

Simulated Data for a Signal Detection Weighted IRT Model with an Experimental Design
flanker

Flanker Data
ex2

Simulated Data for a Signal Detection Weighted IRT Model
mhrm

MHRM Parameter Estimates for Multiple Chains
ex5

Simulated Single Subject Data for a Signal Detection Weighted IRT Model with an Experimental Design
ex4

Simulated Data for a Unidimensional Two-Parameter Item Response Model with Two Measurement Occasions
plot.cog_cat_sim

Method of Plot for Simulated Adaptive Testing Using cogirt S3
summary.cog_irt

Method of Summary for cog_irt S3
summary.cog_cat_sim

Method of Summary for cog_cat_sim S3
plot.cog_irt

Method of Plot for cogirt S3
nback

N-Back Data
sternberg

Sternberg Data
plt

PLT Data
mhmc_mc

MHMC Parameter Estimates for Multiple Chains
sopt

SOPT Data
deriv_omega

Derivatives and Information for Omega
cog_irt

Fit Item Response Theory Models with Optional Contrast Effects
dich_response_sim

Simulate Dichotomous Response Model
cog_cat

Administer Cognitive Tests Using Computerized Adaptive Testing
dich_response_model

Dichotomous Response Model
cog_cat_sim

Perform Simulated Computerized Adaptive Testing
deriv_nu

Derivatives and Information for Nu
deriv_lambda

Derivatives and Information for Lambda
cogirt-package

cogirt: Cognitive Testing Using Item Response Theory
cpt

CPT Data