| 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 |
| cvd |
Data from the 1998 Scottish Health Survey on cardiovascular disease status of 8804 respondents |
| 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. |
| 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). |
| 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 |
| lmdp |
Details of deaths from all causes in England and Wales 1972-1992, taken from the local mortality datapack |
| logLik-method |
Returns the log-likelihood from "mlwinfitIGLS" objects. |
| logLik.mlwinfitIGLS |
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. |
| 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 |
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