Running 'MLwiN' from Within R
Augment data frame with information derived from the model fit (broom ...
Augment data frame with information derived from the model fit (broom ...
Calculates Brooks-Draper diagnostic
Draws a caterpillar plot (in MLwiN style).
Draws caterpillar plots of the residuals from a mlwinfitIGLS-class or ...
Extract the coefficient vector from "mlwinfitIGLS" objects
Extract the coefficient vector from "mlwinfitMCMC" objects
Extract the coefficient vector from "mlwinfitIGLS" objects
Extract the coefficient vector from "mlwinfitMCMC" objects
Returns the deviance from "mlwinfitIGLS" objects.
Returns the residual degrees-of-freedom extracted from "mlwinfitIGLS" ...
Translates a data.frame, formatted for use in multiple membership mode...
Converts numerical values from double precision to single precision.
Extract or Replace parts of "mlwinfitIGLS" objects
Extract or Replace parts of "mlwinfitMCMC" objects
Extract coefficients and GOF measures from a statistical object (texre...
Extract coefficients and GOF measures from a statistical object.
Returns the fitted values from "mlwinfitIGLS" objects.
Returns the fitted values from "mlwinfitMCMC" objects.
"mlwinfitIGLS" model formula
"mlwinfitMCMC" model formula
An internal function, allowing back-compatibility, which translates a ...
An internal function to translate an R formula into an R list object.
Extract coefficients and GOF measures from a statistical object (memis...
Extract coefficients and GOF measures from a statistical object (memis...
Extract GOF measures from a statistical object (broom package).
Extract GOF measures from a statistical object (broom package).
Returns the log-likelihood from "mlwinfitIGLS" objects.
Returns the log-likelihood from "mlwinfitIGLS" objects.
For multiple membership models, translates matrix into a data.frame fo...
Calculates the estimated Monte Carlo standard error (MCSE)
This function captures output files from MLwiN for estimation in WinBU...
An S4 class that stores the outputs of the fitted IGLS model.
An S4 class that stores the outputs of the fitted MCMC model.
Returns the number of used observations from "mlwinfitIGLS" objects.
Returns the number of used observations from "mlwinfitMCMC" objects.
Draws predicted curves (lines) using estimates from the fixed part of ...
Returns the predicted data from "mlwinfitIGLS" objects.
Returns the predicted data from "mlwinfitMCMC" objects.
Draws predicted lines using a fitted model object
Summarize "mlwinfitIGLS" objects
Summarize "mlwinfitMCMC" objects
Translates informative prior information into a concise MLwiN macro.
Running MLwiN from within R
Returns the residual data from "mlwinfitIGLS" objects.
Returns the residual data from "mlwinfitMCMC" objects.
Calls MLwiN from R.
Show objects of class "mlwinfitIGLS"
Show objects of class "mlwinfitMCMC"
Summarize "mlwinfitIGLS" objects
Summarize "mlwinfitMCMC" objects
Draws a sixway plot of MCMC diagnostics.
Summarize "mlwinfitIGLS" objects
Summarize "mlwinfitMCMC" objects
Summarize "mlwinfitIGLS" objects
Summarize "mlwinfitMCMC" objects
Summarises information about the components of a model from a statisti...
Summarises information about the components of a model from a statisti...
Plots MCMC chain trajectories
Converts a categorical variable into several separate binary variables
Update "mlwinfitIGLS" objects
Update "mlwinfitMCMC" objects
Update "mlwinfitIGLS" objects
Update "mlwinfitMCMC" objects
Extract the approximate variance-covariance matrix from "mlwinfitIGLS"...
Extract the approximate variance-covariance matrix from "mlwinfitMCMC"...
Extract the approximate variance-covariance matrix from "mlwinfitIGLS"...
Extract the approximate variance-covariance matrix from "mlwinfitMCMC"...
Writes MLwiN macros to fit models using the iterative generalized leas...
Writes MLwiN macros to fit models using Markov chain Monte Carlo (MCMC...
Converts data from one format to another within MLwiN
An R command interface to the 'MLwiN' multilevel modelling software package.