Package index • golemirt

App

Response functions of the models in the Models menu

prob_4pl(): Four-parameter logistic item response function
prob_gpcm(): Category response curves of the generalized partial credit model
prob_grsm(): Category response curves of the generalized rating scale model
prob_grm(): Category response curves of the graded response model
prob_nrm(): Category response curves of the nominal response model
prob_tirt() prob_tirt_pair() prob_tirt_intercept(): Probit response functions of Thurstonian IRT
prob_mirt(): Response surface of a two-dimensional dichotomous item
info_mirt(): Information surface of a two-dimensional dichotomous item
item_vector(): Item vector of a compensatory two-dimensional item

The estimation methods of the Estimation menu

response_pattern(): Response pattern of a raw score
simulate_responses(): Simulate dichotomous responses
loglik_surface(): Log-likelihood surface of an item's discrimination and difficulty
surface_maximum(): Highest point of a log-likelihood surface
loglik_rasch(): Log-likelihood of a response pattern under the Rasch model
newton_raphson_rasch(): Newton-Raphson steps towards the maximum likelihood estimate of ability
prior_weights(): Prior weights at quadrature points
eap_map(): EAP and MAP estimates of ability by quadrature

The plots of the app

plot_category_curves(): Plot category response curves
plot_tirt(): Plot a Thurstonian IRT response function
plot_mirt_surface(): Plot a surface over the ability plane
plot_mirt_contour(): Plot the contours of a two-dimensional item
plot_newton_raphson(): Plot a Newton-Raphson step
plot_loglik_surface(): Plot a log-likelihood surface
plot_loglik_surfaces(): Plot log-likelihood surfaces for several lower asymptotes
plot_prior() plot_tracelines() plot_likelihood() plot_posterior() plot_eap_combined(): Plot the parts of an EAP and MAP estimation

Internal functions not meant to run independently

Internal functions not meant to run independently