lme4 v0.3-4
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Linear mixed-effects models using S4 classes
Fit linear and generalized linear mixed-effects models.
Functions in lme4
| Name | Description | |
| VarCorr | Extract variance and correlation components | |
| nlme-internal | Internal nlme functions | |
| LMEgradient | The gradient in lme optimization | |
| family-class | Class "family" | |
| LMEoptimizeGets | Optimize linear mixed-effects | |
| Hsb82 | High School and Beyond - 1982 | |
| pdLogChol-class | Class "pdLogChol", positive-definite matrices | |
| VarCorr-class | Class "VarCorr" | |
| BIC | Bayesian Information Criterion | |
| corMatrix | Generate the correlation matrix | |
| GLMM | Fit Generalized Linear Mixed Models via PQL | |
| pdgradNumeric | Evaluate the pdmatrix gradient numerically | |
| guPrenat | Prenatal care in Guatemala | |
| fixed.effects | Extract Fixed Effects | |
| lmList | List of lm Objects with a Common Model | |
| corFactor | Extract the correlation factor | |
| random.effects | Extract Random Effects | |
| solve-methods | Methods for Function solve | |
| pdMat-class | Class pdMat, positive-definite matrices | |
| glmm-class | Class "glmm" | |
| reStruct | Create an reStruct object | |
| nlmeInternal-class | Some internal classes | |
| pdBlocked-class | Class "pdBlocked", blocked pd matrices | |
| corrmatrix-class | Class "corrmatrix" | |
| model.matrixGets | Assign the model.matrix | |
| groupedData-class | Class "groupedData" | |
| lmeLevel-class | Class "lmeLevel" | |
| pdmatrix-class | Positive-definite matrices | |
| lmeControl | Control values for lme | |
| Names | Extract or assign Names | |
| EMupdateGets | Update an object in the EM algorithm | |
| nfGroupedData-class | Class "nfGroupedData" | |
| intervals | Confidence Intervals on Coefficients | |
| lmList-class | Class "lmList" | |
| isInitialized | Check for initialization | |
| nmGroupedData-class | Class "nmGroupedData" | |
| pooledSD | Extract pooled standard deviation | |
| logDet | Logarithm of the determinant | |
| guImmun | Immunization in Guatemala | |
| formulas | Utilities for formulas | |
| pdgradient | Evaluated the pdmatrix gradient | |
| pdCompSymm-class | Class "pdCompSymm" | |
| lmeLevel | Construct an lmeLevel object | |
| matrixGets | Assign the matrix | |
| responseGets | Modify the response | |
| lme | Fit linear mixed-effects models | |
| coefGets | Assign parameters | |
| summary.reStruct-class | Class "summary.reStruct" | |
| pdNatural-class | Class "pdNatural", positive-definite matrices | |
| nfnGroupedData-class | Class "nfnGroupedData" | |
| glmmStruct | Create a glmm object | |
| pdFactor | Square-root factor | |
| pdfactor-class | Factors of positive-definite matrices | |
| nffGroupedData-class | Class "nffGroupedData" | |
| pdIdent-class | Class "pdIdent" | |
| pdMatrix | Return the positive-definite matrix | |
| pdDiag-class | Class "pdDiag" | |
| reStruct-class | Class "reStruct" | |
| lme-class | Class "lme" | |
| EMstepsGets | Perform EM iterations | |
| weightedGets | Modify the weights | |
| s3bby | Responses simulated by Rodriguez and Goldman | |
| s3bbx | Covariates in the Rodriguez and Goldman simulation | |
| No Results! | ||
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Details
| Date | 2003/08/11 |
| License | GPL version 2 or later |
| depends | base (>= 1.7.0) , methods |
| Contributors | Douglas Bates, Saikat DebRoy |
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