plRasch: Log Linear by Linear Association models and Rasch family models by pseudolikelihood estimation
Version 1.0

Fit Log Linear by Linear Association models and Rasch family models by pseudolikelihood estimation

AuthorZhushan Li & Feng Hong
Date of publication2014-01-10 17:30:13
MaintainerZhushan Li <zhushan.mandy.li@gmail.com>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("plRasch")

Popular man pages

llla: Fit Log Linear by Linear Association Models
RaschRLE: Fit Rasch Family Models Using Pseudolikelihood Esitmation
simRasch: Simulate a data matrix from the Rasch Model
See all...

All man pages Function index File listing

Man pages

llla: Fit Log Linear by Linear Association Models
RaschRLE: Fit Rasch Family Models Using Pseudolikelihood Esitmation
simRasch: Simulate a data matrix from the Rasch Model

Functions

RaschPLE Man page Source code
coef.llla Source code
countData Source code
countData2 Source code
dec.base.b Source code
integer.base.b Source code
llla Man page Source code
llla.bi Source code
llla.mc Source code
llla.mle Source code
llla2Rasch Source code
mclgen Source code
mlData Source code
plStackData Source code
print.llla Source code
raschRap Source code
simRasch Man page Source code
simRasch.1D Source code
summary.llla Source code
vcov.llla Source code
vcov.sandwich.glm Source code

Files

NAMESPACE
R
R/RaschPLE.R
R/sandwich.R
R/simRasch.R
R/mlData.R
R/stackdata.R
R/llla.R
MD5
DESCRIPTION
man
man/llla.Rd
man/simRasch.Rd
man/RaschRLE.Rd
plRasch documentation built on May 20, 2017, midnight