raschmixClass: Class "raschmix"

In psychomix: Psychometric Mixture Models

Class "raschmix"

Description

A fitted raschmix model.

Slots

model:

A FLXMC object for a Rasch mixture model

prior:

Numeric vector with prior probabilities of classes.

posterior:

Named list with elements scaled and unscaled, both matrices with one row per observation and one column per class.

iter:

Number of EM iterations.

k:

Number of classes after EM.

k0:

Number of classes at start of EM.

cluster:

Class assignments of observations.

size:

Class sizes.

logLik:

Log-likelihood at EM convergence.

df:

Total number of parameters of the model.

components:

List describing the fitted components using FLXcomponent objects.

formula:

Object of class "formula".

control:

Object of class "FLXcontrol".

call:

The function call used to create the object.

group:

Object of class "factor".

converged:

Logical, TRUE if EM algorithm converged.

concomitant:

Object of class "FLXP"..

weights:

Optional weights of the observations.

scores:

Type of score model employed.

restricted:

Logical. Is the score model equal across components?

deriv:

Type of derivatives used for computing gradient and Hessian matrix. Analytical with sum algorithm ("sum"), analytical with difference algorithm ("diff", faster but numerically unstable), or numerical.

extremeScoreProbs:

Estimated probability of solving either all or no items.

rawScoresData:

Table of raw scores from the data.

flx.call:

Internal call to stepFlexmix

nobs:

Number of observations without missing values, excluding observations with an extreme score.

identified.items:

Factor indicating which items are identified.

Extends

Class flexmix, directly.

Accessor Functions

The following functions should be used for accessing the corresponding slots:

clusters:

Cluster assignments of observations.

posterior:

A matrix of posterior probabilities for each observation.

psychomix documentation built on Sept. 11, 2024, 6:56 p.m.