# Running 'MLwiN' from Within R

## Documentation for package ‘R2MLwiN’ version 0.8-7

- DESCRIPTION file.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

alevchem | Chemistry A-level results from one exam board
augment.mlwinfitIGLS | Augment data frame with information derived from the model fit (broom package).
augment.mlwinfitMCMC | Augment data frame with information derived from the model fit (broom package).
bang | Sub-sample from the 1989 Bangladesh Fertility Survey (see Huq & Cleveland, 1990)
bang1 | Sub-sample from the 1989 Bangladesh Fertility Survey
BD | Calculates Brooks-Draper diagnostic
bes83 | Subsample from British Election Study, '83.
caterpillar | Draws a caterpillar plot (in MLwiN style).
caterpillarR | Draws caterpillar plots of the residuals from a mlwinfitIGLS-class or mlwinfitMCMC-class object, at a chosen level of the multilevel model.
coef-method | Extract the coefficient vector from "mlwinfitIGLS" objects
coef-method | Extract the coefficient vector from "mlwinfitMCMC" objects
coef.mlwinfitIGLS | Extract the coefficient vector from "mlwinfitIGLS" objects
coef.mlwinfitMCMC | Extract the coefficient vector from "mlwinfitMCMC" objects
deviance.mlwinfitIGLS | Returns the deviance from "mlwinfitIGLS" objects.
df.residual.mlwinfitIGLS | Returns the residual degrees-of-freedom extracted from "mlwinfitIGLS" objects.
df2matrix | Translates a data.frame, formatted for use in multiple membership modelling in MLwiN, to a matrix.
diag1 | Examination dataset
double2singlePrecision | Converts numerical values from double precision to single precision.
extract-method | Extract coefficients and GOF measures from a statistical object (texreg package).
extract-method | Extract coefficients and GOF measures from a statistical object.
fitted.mlwinfitIGLS | Returns the fitted values from "mlwinfitIGLS" objects.
fitted.mlwinfitMCMC | Returns the fitted values from "mlwinfitMCMC" objects.
formula.mlwinfitIGLS | "mlwinfitIGLS" model formula
formula.mlwinfitMCMC | "mlwinfitMCMC" model formula
Formula.translate | An internal function to translate an R formula into an R list object.
Formula.translate.compat | An internal function, allowing back-compatibility, which translates a model formula from a formula object or character string into an R list object.
gcsecomp1 | Pupils' marks from GCSE exams (UK, 1989); complete cases only.
gcsemv1 | Pupils' marks from GCSE exams (UK, 1989).
getSummary.mlwinfitIGLS | Extract coefficients and GOF measures from a statistical object (memisc package).
getSummary.mlwinfitMCMC | Extract coefficients and GOF measures from a statistical object (memisc package).
glance.mlwinfitIGLS | Extract GOF measures from a statistical object (broom package).
glance.mlwinfitMCMC | Extract GOF measures from a statistical object (broom package).
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
logLik-method | Returns the log-likelihood from "mlwinfitIGLS" objects.
matrix2df | 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').
MCSE | Calculates the estimated Monte Carlo standard error (MCSE)
mlwin2bugs | This function captures output files from MLwiN for estimation in WinBUGS/OpenBUGS.
mlwinfitIGLS-class | An S4 class that stores the outputs of the fitted IGLS model.
mlwinfitMCMC-class | An S4 class that stores the outputs of the fitted MCMC model.
mmmec | EC data on UV radiation exposure & malignant melanoma.
nobs.mlwinfitIGLS | Returns the number of used observations from "mlwinfitIGLS" objects.
nobs.mlwinfitMCMC | Returns the number of used observations from "mlwinfitMCMC" objects.
predCurves | Draws predicted curves (lines) using estimates from the fixed part of a fitted model.
predict.mlwinfitIGLS | Returns the predicted data from "mlwinfitIGLS" objects.
predict.mlwinfitMCMC | Returns the predicted data from "mlwinfitMCMC" objects.
predLines | Draws predicted lines using a fitted model object
print.mlwinfitIGLS | Summarize "mlwinfitIGLS" objects
print.mlwinfitMCMC | Summarize "mlwinfitMCMC" objects
prior2macro | Translates informative prior information into a concise MLwiN macro.
R2MLwiN | Running MLwiN from within R
rats | Weights of 30 rats, measured weekly over 5 weeks.
reading1 | Students' reading attainment in inner London infant schools.
residuals.mlwinfitIGLS | Returns the residual data from "mlwinfitIGLS" objects.
residuals.mlwinfitMCMC | Returns the residual data from "mlwinfitMCMC" objects.
runMLwiN | Calls MLwiN from R.
show-method | Show objects of class "mlwinfitIGLS"
show-method | Show objects of class "mlwinfitMCMC"
show.mlwinfitIGLS | Summarize "mlwinfitIGLS" objects
show.mlwinfitMCMC | Summarize "mlwinfitMCMC" objects
sixway | Draws a sixway plot of MCMC diagnostics.
summary-method | Summarize "mlwinfitIGLS" objects
summary-method | Summarize "mlwinfitMCMC" objects
summary.mlwinfitIGLS | Summarize "mlwinfitIGLS" objects
summary.mlwinfitMCMC | Summarize "mlwinfitMCMC" objects
tidy.mlwinfitIGLS | Summarises information about the components of a model from a statistical object (broom package).
tidy.mlwinfitMCMC | Summarises information about the components of a model from a statistical object (broom package).
trajectories | Plots MCMC chain trajectories
tutorial | Exam results for six inner London Education Authorities
Untoggle | Converts a categorical variable into several separate binary variables
update-method | Update "mlwinfitIGLS" objects
update-method | Update "mlwinfitMCMC" objects
update.mlwinfitIGLS | Update "mlwinfitIGLS" objects
update.mlwinfitMCMC | Update "mlwinfitMCMC" objects
vcov-method | Extract the approximate variance-covariance matrix from "mlwinfitIGLS" objects
vcov-method | Extract the approximate variance-covariance matrix from "mlwinfitMCMC" objects
vcov.mlwinfitIGLS | Extract the approximate variance-covariance matrix from "mlwinfitIGLS" objects
vcov.mlwinfitMCMC | Extract the approximate variance-covariance matrix from "mlwinfitMCMC" objects
wage1 | Simulated dataset of office workers' salary and other employment details.
write.IGLS | Writes MLwiN macros to fit models using the iterative generalized least squares (IGLS) algorithm.
write.MCMC | Writes MLwiN macros to fit models using Markov chain Monte Carlo (MCMC) methods
ws2foreign | Converts data from one format to another within MLwiN
xc | Examination scores of 16-year olds in Fife, Scotland.
xc1 | Examination scores of 16-year olds in Fife, Scotland.
[-method | Extract or Replace parts of "mlwinfitIGLS" objects
[-method | Extract or Replace parts of "mlwinfitMCMC" objects
[<--method | Extract or Replace parts of "mlwinfitIGLS" objects
[<--method | Extract or Replace parts of "mlwinfitMCMC" objects
[[-method | Extract or Replace parts of "mlwinfitIGLS" objects
[[-method | Extract or Replace parts of "mlwinfitMCMC" objects
[[<--method | Extract or Replace parts of "mlwinfitIGLS" objects
[[<--method | Extract or Replace parts of "mlwinfitMCMC" objects