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R2MLwiN (version 0.2-0)

Running MLwiN from within R

Description

R2MLwiN is an R command interface to the MLwiN multilevel modelling software package, allowing users to fit multilevel models using MLwiN from within the R environment.

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Version

Install

install.packages('R2MLwiN')

Monthly Downloads

301

Version

0.2-0

License

GPL (>= 2)

Maintainer

Zhengzheng Zhang

Last Published

March 28th, 2014

Functions in R2MLwiN (0.2-0)

caterpillar

Draws a caterpillar plot (in MLwiN style).
sixway

Draws a sixway plot of MCMC diagnostics.
runMLwiN

Calls MLwiN from R
bang1

Sub-sample from the 1989 Bangladesh Fertility Survey
double2singlePrecision

Converts numerical values from double precision to single precision.
trajectories

Plots MCMC chain trajectories
R2MLwiN-package

R2MLwiN: Running MLwiN from within R
mlwin2bugs

This function captures output files from MLwiN for estimation in WinBUGS/OpenBUGS.
mlwinfitIGLS-class

S4 class: mlwinfitIGLS
tutorial

Exam results for six inner London Education Authorities
MacroScript1

Writes MLwiN macros to fit models using the iterative generalized least squares (IGLS) algorithm
caterpillarR

Draws caterpillar plots of the residuals at a particular level of a multilevel model.
Formula.translate

An internal function to translate an R formula from a character string into an R list object.
MacroScript2

Writes MLwiN macros to fit models using Markov chain Monte Carlo (MCMC) methods
prior2macro

Translates informative prior information into a concise MLwiN macro.
ws2foreign

Converts data from one format to another within MLwiN
xc

Examination scores of 16-year olds in Fife, Scotland.
mlwinfitMCMC-class

S4 class: mlwinfitMCMC
predCurves

Draws predicted curves (lines) using estimates from the fixed part of a fitted model.
jspmix1

Dataset of pupils' test scores, a subset of the Junior School Project.
wage1

Simulated dataset of office workers' salay and other employment details.
predLines

Draws predicted lines using a fitted model object
Untoggle

Converts a categorical variable into several separate binary variables