Package: R2MLwiN 0.8-10

Zhengzheng Zhang

R2MLwiN: Running 'MLwiN' from Within R

An R command interface to the 'MLwiN' multilevel modelling software package.

Authors:Zhengzheng Zhang [aut, cre], Chris Charlton [aut], Richard Parker [aut], George Leckie [aut], William Browne [aut]

R2MLwiN_0.8-10.tar.gz
R2MLwiN_0.8-10.zip(r-4.7)R2MLwiN_0.8-10.zip(r-4.6)R2MLwiN_0.8-10.zip(r-4.5)
R2MLwiN_0.8-10.tgz(r-4.6-any)R2MLwiN_0.8-10.tgz(r-4.5-any)
R2MLwiN_0.8-10.tar.gz(r-4.7-any)R2MLwiN_0.8-10.tar.gz(r-4.6-any)
R2MLwiN_0.8-10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
R2MLwiN/json (API)
NEWS

# Install 'R2MLwiN' in R:

install.packages('R2MLwiN', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/r2mlwin

Datasets:

alevchem - Chemistry A-level results from one exam board
bang - Sub-sample from the 1989 Bangladesh Fertility Survey
bang1 - Sub-sample from the 1989 Bangladesh Fertility Survey
bes83 - Subsample from British Election Study, '83.
cvd - Data from the 1998 Scottish Health Survey on cardiovascular disease status of 8804 respondents
diag1 - Examination dataset
fysio - Data on physiotherapy referrals from 100 general practices in the Netherlands, collected in 1987
gcsecomp1 - Pupils' marks from GCSE exams (UK, 1989); complete cases only.
gcsemv1 - Pupils' marks from GCSE exams (UK, 1989).
height - Height data.
hungary1 - Hungarian component of 2nd International Science Survey, '84; see Goldstein 2003
jspmix1 - Dataset of pupils' test scores, a subset of the Junior School Project.
lips1 - Lips data
lmdp - Details of deaths from all causes in England and Wales 1972-1992, taken from the local mortality datapack
mmmec - EC data on UV radiation exposure & malignant melanoma.
rats - Weights of 30 rats, measured weekly over 5 weeks.
reading1 - Students' reading attainment in inner London infant schools.
tutorial - Exam results for six inner London Education Authorities
wage1 - Simulated dataset of office workers' salary and other employment details.
xc - Examination scores of 16-year olds in Fife, Scotland.
xc1 - Examination scores of 16-year olds in Fife, Scotland.

On CRAN:

5.35 score 124 scripts 316 downloads 12 mentions 20 exports 43 dependencies

Last updated from:e39a1ab4c7. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	252
source / vignettes	OK	278
linux-release-x86_64	OK	251
macos-release-arm64	OK	163
macos-oldrel-arm64	OK	133
windows-devel	OK	184
windows-release	OK	155
windows-oldrel	OK	158
wasm-release	OK	168

Exports:caterpillar caterpillarR coef df2matrix double2singlePrecision extract logLik matrix2df mlwin2bugs predCurves predLines runMLwiN show sixway summary trajectories Untoggle update vcov ws2foreign

Dependencies:askpass backports broom cli coda codetools cpp11 curl data.table digest doParallel dplyr foreach foreign generics glue httr iterators jsonlite lattice lifecycle magrittr MASS Matrix memisc mime openssl pillar pkgconfig purrr R6 rlang stringi stringr sys texreg tibble tidyr tidyselect utf8 vctrs withr yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Extract or Replace parts of "mlwinfitIGLS" objects	[,mlwinfitIGLS,ANY,ANY,ANY-method [<-,mlwinfitIGLS,ANY,ANY,ANY-method [[,mlwinfitIGLS-method [[<-,mlwinfitIGLS-method
Extract or Replace parts of "mlwinfitMCMC" objects	[,mlwinfitMCMC,ANY,ANY,ANY-method [<-,mlwinfitMCMC,ANY,ANY,ANY-method [[,mlwinfitMCMC-method [[<-,mlwinfitMCMC-method
Chemistry A-level results from one exam board	alevchem
Augment data frame with information derived from the model fit (broom package).	augment.mlwinfitIGLS
Augment data frame with information derived from the model fit (broom package).	augment.mlwinfitMCMC
Sub-sample from the 1989 Bangladesh Fertility Survey (see Huq & Cleveland, 1990)	bang
Sub-sample from the 1989 Bangladesh Fertility Survey	bang1
Calculates Brooks-Draper diagnostic	BD
Subsample from British Election Study, '83.	bes83
Draws a caterpillar plot (in MLwiN style).	caterpillar
Draws caterpillar plots of the residuals from a mlwinfitIGLS-class or mlwinfitMCMC-class object, at a chosen level of the multilevel model.	caterpillarR
Extract the coefficient vector from "mlwinfitIGLS" objects	coef,mlwinfitIGLS-method
Extract the coefficient vector from "mlwinfitMCMC" objects	coef,mlwinfitMCMC-method
Extract the coefficient vector from "mlwinfitIGLS" objects	coef.mlwinfitIGLS
Extract the coefficient vector from "mlwinfitMCMC" objects	coef.mlwinfitMCMC
Data from the 1998 Scottish Health Survey on cardiovascular disease status of 8804 respondents	cvd
Returns the deviance from "mlwinfitIGLS" objects.	deviance.mlwinfitIGLS
Returns the residual degrees-of-freedom extracted from "mlwinfitIGLS" objects.	df.residual.mlwinfitIGLS
Translates a data.frame, formatted for use in multiple membership modelling in MLwiN, to a matrix.	df2matrix
Examination dataset	diag1
Converts numerical values from double precision to single precision.	double2singlePrecision
Extract coefficients and GOF measures from a statistical object (texreg package).	extract,mlwinfitIGLS-method
Extract coefficients and GOF measures from a statistical object.	extract,mlwinfitMCMC-method
Returns the fitted values from "mlwinfitIGLS" objects.	fitted.mlwinfitIGLS
Returns the fitted values from "mlwinfitMCMC" objects.	fitted.mlwinfitMCMC
"mlwinfitIGLS" model formula	formula.mlwinfitIGLS
"mlwinfitMCMC" model formula	formula.mlwinfitMCMC
An internal function to translate an R formula into an R list object.	Formula.translate
An internal function, allowing back-compatibility, which translates a model formula from a formula object or character string into an R list object.	Formula.translate.compat
Data on physiotherapy referrals from 100 general practices in the Netherlands, collected in 1987	fysio
Pupils' marks from GCSE exams (UK, 1989); complete cases only.	gcsecomp1
Pupils' marks from GCSE exams (UK, 1989).	gcsemv1
Extract coefficients and GOF measures from a statistical object (memisc package).	getSummary.mlwinfitIGLS
Extract coefficients and GOF measures from a statistical object (memisc package).	getSummary.mlwinfitMCMC
Extract GOF measures from a statistical object (broom package).	glance.mlwinfitIGLS
Extract GOF measures from a statistical object (broom package).	glance.mlwinfitMCMC
Height data.	height
Hungarian component of 2nd International Science Survey, '84; see Goldstein 2003	hungary1
Dataset of pupils' test scores, a subset of the Junior School Project.	jspmix1
Lips data	lips1
Details of deaths from all causes in England and Wales 1972-1992, taken from the local mortality datapack	lmdp
Returns the log-likelihood from "mlwinfitIGLS" objects.	logLik,mlwinfitIGLS-method
Returns the log-likelihood from "mlwinfitIGLS" objects.	logLik.mlwinfitIGLS
For multiple membership models, translates matrix into a data.frame formatted for MLwiN Translates a 'matrix' into a form usable by MLwiN for multiple membership models, namely a 'data.frame' with (a) columns containing membership IDs (if first row matrix is '0 1 1 0 1 1', then first row of generated ID vectors would be, say, '2, 3, 5, 6') and (b) columns containing weights (in this example, if 'standardise = TRUE', then first row of generated weight vectors would be, say, '0.25, 0.25, 0.25, 0.25', otherwise first row of generated weight vectors would be, say, '1, 1, 1, 1').	matrix2df
Calculates the estimated Monte Carlo standard error (MCSE)	MCSE
This function captures output files from MLwiN for estimation in WinBUGS/OpenBUGS.	mlwin2bugs
An S4 class that stores the outputs of the fitted IGLS model.	mlwinfitIGLS-class
An S4 class that stores the outputs of the fitted MCMC model.	mlwinfitMCMC-class
EC data on UV radiation exposure & malignant melanoma.	mmmec
Returns the number of used observations from "mlwinfitIGLS" objects.	nobs.mlwinfitIGLS
Returns the number of used observations from "mlwinfitMCMC" objects.	nobs.mlwinfitMCMC
Draws predicted curves (lines) using estimates from the fixed part of a fitted model.	predCurves
Returns the predicted data from "mlwinfitIGLS" objects.	predict.mlwinfitIGLS
Returns the predicted data from "mlwinfitMCMC" objects.	predict.mlwinfitMCMC
Draws predicted lines using a fitted model object	predLines
Summarize "mlwinfitIGLS" objects	print.mlwinfitIGLS
Summarize "mlwinfitMCMC" objects	print.mlwinfitMCMC
Translates informative prior information into a concise MLwiN macro.	prior2macro
Weights of 30 rats, measured weekly over 5 weeks.	rats
Students' reading attainment in inner London infant schools.	reading1
Returns the residual data from "mlwinfitIGLS" objects.	residuals.mlwinfitIGLS
Returns the residual data from "mlwinfitMCMC" objects.	residuals.mlwinfitMCMC
Calls MLwiN from R.	runMLwiN
Show objects of class "mlwinfitIGLS"	show,mlwinfitIGLS-method
Show objects of class "mlwinfitMCMC"	show,mlwinfitMCMC-method
Summarize "mlwinfitIGLS" objects	show.mlwinfitIGLS
Summarize "mlwinfitMCMC" objects	show.mlwinfitMCMC
Draws a sixway plot of MCMC diagnostics.	sixway
Summarize "mlwinfitIGLS" objects	summary,mlwinfitIGLS-method
Summarize "mlwinfitMCMC" objects	summary,mlwinfitMCMC-method
Summarize "mlwinfitIGLS" objects	summary.mlwinfitIGLS
Summarize "mlwinfitMCMC" objects	summary.mlwinfitMCMC
Summarises information about the components of a model from a statistical object (broom package).	tidy.mlwinfitIGLS
Summarises information about the components of a model from a statistical object (broom package).	tidy.mlwinfitMCMC
Plots MCMC chain trajectories	trajectories
Exam results for six inner London Education Authorities	tutorial
Converts a categorical variable into several separate binary variables	Untoggle
Update "mlwinfitIGLS" objects	update,mlwinfitIGLS-method
Update "mlwinfitMCMC" objects	update,mlwinfitMCMC-method
Update "mlwinfitIGLS" objects	update.mlwinfitIGLS
Update "mlwinfitMCMC" objects	update.mlwinfitMCMC
Extract the approximate variance-covariance matrix from "mlwinfitIGLS" objects	vcov,mlwinfitIGLS-method
Extract the approximate variance-covariance matrix from "mlwinfitMCMC" objects	vcov,mlwinfitMCMC-method
Extract the approximate variance-covariance matrix from "mlwinfitIGLS" objects	vcov.mlwinfitIGLS
Extract the approximate variance-covariance matrix from "mlwinfitMCMC" objects	vcov.mlwinfitMCMC
Simulated dataset of office workers' salary and other employment details.	wage1
Writes MLwiN macros to fit models using the iterative generalized least squares (IGLS) algorithm.	write.IGLS
Writes MLwiN macros to fit models using Markov chain Monte Carlo (MCMC) methods	write.MCMC
Converts data from one format to another within MLwiN	ws2foreign
Examination scores of 16-year olds in Fife, Scotland.	xc
Examination scores of 16-year olds in Fife, Scotland.	xc1