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| 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 |