raschmix-class {psychomix} | R Documentation |
Class "raschmix"
Description
A fitted raschmix
model.
Slots
model
:A
FLXMC
object for a Rasch mixture modelprior
:Numeric vector with prior probabilities of classes.
posterior
:Named list with elements
scaled
andunscaled
, 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.