R: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models

# Pseudo-Likelihood Estimation of Log-Multiplicative Association Models

## Documentation for package ‘pleLMA’ version 0.2.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

convergence.stats | Computes statistics to assess convergence of the nominal model
convergenceGPCM | Computes statistics to assess convergence for generalized partial credit models
dass | Dateframe of responses to items from depression, anxiety, and stress scales
error.check | Checks for basic errors in input to the 'ple.lma' function
fit.gpcm | Fits LMA model where category scale values equal a_im * x_j
fit.independence | Fits the log-linear model of independence
fit.nominal | Fits the nominal model
fit.rasch | Fits an LMA using fixed category scores
FitStack | Up-dates association parameters of the nominal model
fitStackGPCM | Up-dates association parameters of the GPCM by fitting model to stacked data
item.gpcm | Estimates item parameters of LMA with linear restrictions on category scores
ItemData | Prepares data for up-dating scale value parameters of nominal model
ItemGPCM.data | Creates data frame up-dating phi parameters of the gpcm.
ItemLoop | loops through items and up-dates estimates of scale values for each item in Nominal Model
iterationPlot | Plots estimated parameters by iteration for the gpcm and nominal models
lma.summary | Produces a summary of results
ple.lma | Main function for estimating parameters of LMA models
reScaleItem | Re-scales the category scale values and Phi after convergence of the nominal model
Scale | Imposes scaling constraint to identify parameters of the LMA (nominal) model
ScaleGPCM | Imposes scaling constraint to identify parameters of LMA (GPCM)
scalingPlot | Graphs estimated scale values by integers of the LMA (nominal) model
set.up | Sets up the data based on input data and model specifications
StackData | Prepares data for up-dating association parameters of a multidimensional nominal LMA
StackDataGPCM | Prepares data for up-dating association parameters of LMA (GPCM) model
theta.estimates | Computes estimates of theta (values on latent trait(s)) for all LMA models
vocab | Dataframe of response to vocabulary items from the 2018 General Social Survey