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"logLik.mlwinfitIGLS" ] }, { "page": "matrix2df", "title": "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').", "topics": [ "matrix2df" ] }, { "page": "MCSE", "title": "Calculates the estimated Monte Carlo standard error (MCSE)", "topics": [ "MCSE" ] }, { "page": "mlwin2bugs", "title": "This function captures output files from MLwiN for estimation in WinBUGS/OpenBUGS.", "topics": [ "mlwin2bugs" ] }, { "page": "mlwinfitIGLS-class", "title": "An S4 class that stores 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data from \"mlwinfitMCMC\" objects.", "topics": [ "predict.mlwinfitMCMC" ] }, { "page": "predLines", "title": "Draws predicted lines using a fitted model object", "topics": [ "predLines" ] }, { "page": "print.mlwinfitIGLS", "title": "Summarize \"mlwinfitIGLS\" objects", "topics": [ "print.mlwinfitIGLS" ] }, { "page": "print.mlwinfitMCMC", "title": "Summarize \"mlwinfitMCMC\" objects", "topics": [ "print.mlwinfitMCMC" ] }, { "page": "prior2macro", "title": "Translates informative prior information into a concise MLwiN macro.", "topics": [ "prior2macro" ] }, { "page": "rats", "title": "Weights of 30 rats, measured weekly over 5 weeks.", "topics": [ "rats" ] }, { "page": "reading1", "title": "Students' reading attainment in inner London infant schools.", "topics": [ "reading1" ] }, { "page": "residuals.mlwinfitIGLS", "title": "Returns the residual data from \"mlwinfitIGLS\" objects.", "topics": [ "residuals.mlwinfitIGLS" ] }, { "page": "residuals.mlwinfitMCMC", "title": "Returns the residual data from \"mlwinfitMCMC\" objects.", "topics": [ "residuals.mlwinfitMCMC" ] }, { "page": "runMLwiN", "title": "Calls MLwiN from R.", "topics": [ "runMLwiN" ] }, { "page": "show-mlwinfitIGLS-method", "title": "Show objects of class \"mlwinfitIGLS\"", "topics": [ "show,mlwinfitIGLS-method" ] }, { "page": "show-mlwinfitMCMC-method", "title": "Show objects of class \"mlwinfitMCMC\"", "topics": [ "show,mlwinfitMCMC-method" ] }, { "page": "show.mlwinfitIGLS", "title": "Summarize \"mlwinfitIGLS\" objects", "topics": [ "show.mlwinfitIGLS" ] }, { "page": "show.mlwinfitMCMC", "title": "Summarize \"mlwinfitMCMC\" objects", "topics": [ "show.mlwinfitMCMC" ] }, { "page": "sixway", "title": "Draws a sixway plot of MCMC diagnostics.", "topics": [ "sixway" ] }, { "page": "summary-mlwinfitIGLS-method", "title": "Summarize \"mlwinfitIGLS\" objects", "topics": [ "summary,mlwinfitIGLS-method" ] }, { "page": "summary-mlwinfitMCMC-method", "title": "Summarize \"mlwinfitMCMC\" objects", "topics": [ "summary,mlwinfitMCMC-method" ] }, { "page": "summary.mlwinfitIGLS", "title": "Summarize \"mlwinfitIGLS\" objects", "topics": [ "summary.mlwinfitIGLS" ] }, { "page": "summary.mlwinfitMCMC", "title": "Summarize \"mlwinfitMCMC\" objects", "topics": [ "summary.mlwinfitMCMC" ] }, { "page": "tidy.mlwinfitIGLS", "title": "Summarises information about the components of a model from a statistical object (broom package).", "topics": [ "tidy.mlwinfitIGLS" ] }, { "page": "tidy.mlwinfitMCMC", "title": "Summarises information about the components of a model from a statistical object (broom package).", "topics": [ "tidy.mlwinfitMCMC" ] }, { "page": "trajectories", "title": "Plots MCMC chain trajectories", "topics": [ "trajectories" ] }, { "page": "tutorial", "title": "Exam results for six inner London Education Authorities", "topics": [ "tutorial" ] }, { "page": "Untoggle", "title": "Converts a categorical variable into several separate binary variables", "topics": [ "Untoggle" ] }, { "page": "update-mlwinfitIGLS-method", "title": "Update \"mlwinfitIGLS\" objects", "topics": [ "update,mlwinfitIGLS-method" ] }, { "page": "update-mlwinfitMCMC-method", "title": "Update \"mlwinfitMCMC\" objects", "topics": [ "update,mlwinfitMCMC-method" ] }, { "page": "update.mlwinfitIGLS", "title": "Update \"mlwinfitIGLS\" objects", "topics": [ "update.mlwinfitIGLS" ] }, { "page": "update.mlwinfitMCMC", "title": "Update \"mlwinfitMCMC\" objects", "topics": [ "update.mlwinfitMCMC" ] }, { "page": "vcov-mlwinfitIGLS-method", "title": "Extract the approximate variance-covariance matrix from \"mlwinfitIGLS\" objects", "topics": [ "vcov,mlwinfitIGLS-method" ] }, { "page": "vcov-mlwinfitMCMC-method", "title": "Extract the approximate variance-covariance matrix from \"mlwinfitMCMC\" objects", "topics": [ "vcov,mlwinfitMCMC-method" ] }, { "page": "vcov.mlwinfitIGLS", "title": "Extract the approximate variance-covariance matrix from \"mlwinfitIGLS\" objects", "topics": [ "vcov.mlwinfitIGLS" ] }, { "page": "vcov.mlwinfitMCMC", "title": "Extract the approximate variance-covariance matrix from \"mlwinfitMCMC\" objects", "topics": [ "vcov.mlwinfitMCMC" ] }, { "page": "wage1", "title": "Simulated dataset of office workers' salary and other employment details.", "topics": [ "wage1" ] }, { "page": "write.IGLS", "title": "Writes MLwiN macros to fit models using the iterative generalized least squares (IGLS) algorithm.", "topics": [ "write.IGLS" ] }, { "page": "write.MCMC", "title": "Writes MLwiN macros to fit models using Markov chain Monte Carlo (MCMC) methods", "topics": [ "write.MCMC" ] }, { "page": "ws2foreign", "title": "Converts data from one format to another within MLwiN", "topics": [ "ws2foreign" ] }, { "page": "xc", "title": "Examination scores of 16-year olds in Fife, Scotland.", "topics": [ "xc" ] }, { "page": "xc1", "title": "Examination scores of 16-year olds in Fife, Scotland.", "topics": [ "xc1" ] } ], "_rundeps": [ "askpass", "backports", "broom", "cli", "coda", 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