pairwise0.6.1-0 package

Rasch Model Parameters by Pairwise Algorithm

summary.pifit

S3 Summary for Item-Fit-Statistics

summary.ppfit

S3 Summary for Person-Fit-Statistics

summary.q3

S3 Summary for Q3 Fit Statistic

summary.rfa

S3 Summary for Rasch Factor Analysis

tff

Test information function

andersentest.pers

Andersen's Likelihood Ratio Test for Object of class "pers"

catprob

Category Probability Plots

deltapar

Compute delta parameters from thurstonian thresholds

esc

Expected Score Curves Plots

ftab

Tabulating Answer Categories in Data

gif

Graphical Item Fit Plots

grm

Graphical Model Check

iff

Item information function

logLik.pers

S3 logLik for Object of class "pers"

lrtest.pers

Likelihood Ratio Test for Object of class "pers"

make.incidenz

Converting a booklet allocation table into a incidence matrix

pair

Item Parameter Calculation

pairSE

Item Parameter Calculation with Standard Errors

pairwise-package

Rasch Model Parameters with pairwise

pairwise.item.fit

Item Fit Indices

pairwise.person.fit

Person Fit Indices

pairwise.S

The Fischer-Scheiblechner Statistic S on item level (Wald like Test)

pairwise.SepRel

Person Separation Reliability

pers

WLE - Rasch Person Parameter

plot.grm

S3 Plotting Graphical Model Check

plot.pair

S3 Plotting Thurstonian Thresholds

plot.pairSE

S3 Plotting Thustonian Thresholds with SE

plot.pers

S3 Plotting Person - Item Map

plot.rfa

S3 Plotting Rasch Residual Factor Analysis

ptbis

Point Biserial Correlations

Q

Person Fit Index Q

q3

Q3 Fit Statistic

residuals.pers

S3 residuals for Object of class "pers"

rfa

Rasch Residual Factor Analysis

simra

Simulate Response Pattern under Dichotomous and Polytomous Rasch Model

summary.grm

S3 Summary for graphical Model Check

summary.pair

S3 Summary for Item Parameter

summary.pairS

S3 Summary for S-Statistic Test (Wald Test)

summary.pairSE

S3 Summary for Item Parameter with Standard Errors

summary.pairwiseSepRel

S3 Summary for Person Separation Reliability

summary.pers

S3 Summary for Thetas

Performs the explicit calculation -- not estimation! -- of the Rasch item parameters for dichotomous and polytomous item responses, using a pairwise comparison approach. Person parameters (WLE) are calculated according to Warm's weighted likelihood approach.

  • Maintainer: Joerg-Henrik Heine
  • License: GPL-3
  • Last published: 2023-04-17