# lme4 v0.2-1

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## Linear mixed-effects models using S4 classes

Fit linear and generalized linear mixed-effects models.

## Functions in lme4

Name | Description | |

fixed.effects | Extract Fixed Effects | |

coefGets | Assign parameters | |

corFactor | Extract the correlation factor | |

model.matrixGets | Assign the model.matrix | |

lme-class | Class "lme" | |

EMupdateGets | Update an object in the EM algorithm | |

formulas | Utilities for formulas | |

family-class | Class "family" | |

pdIdent-class | Class "pdIdent" | |

corrmatrix-class | Class "corrmatrix" | |

lmList | List of lm Objects with a Common Model | |

reStruct-class | Class "reStruct" | |

pdDiag-class | Class "pdDiag" | |

pdmatrix-class | Positive-definite matrices | |

corMatrix | Generate the correlation matrix | |

pdCompSymm-class | Class "pdCompSymm" | |

lme | Fit linear mixed-effects models | |

responseGets | Modify the response | |

LMEoptimizeGets | Optimize linear mixed-effects | |

Hsb82 | High School and Beyond - 1982 | |

lmeLevel-class | Class "lmeLevel" | |

isInitialized | Check for initialization | |

nmGroupedData-class | Class "nmGroupedData" | |

pdgradient | Evaluated the pdmatrix gradient | |

pdNatural-class | Class "pdNatural", positive-definite matrices | |

pdMat-class | Class pdMat, positive-definite matrices | |

LMEgradient | The gradient in lme optimization | |

EMstepsGets | Perform EM iterations | |

nfGroupedData-class | Class "nfGroupedData" | |

summary.reStruct-class | Class "summary.reStruct" | |

lmList-class | Class "lmList" | |

pdfactor-class | Factors of positive-definite matrices | |

lmeLevel | Construct an lmeLevel object | |

nlmeInternal-class | Some internal classes | |

guPrenat | Prenatal care in Guatemala | |

matrixGets | Assign the matrix | |

logDet | Logarithm of the determinant | |

glmm-class | Class "glmm" | |

logLik-methods | Methods for Function logLik | |

intervals | Confidence Intervals on Coefficients | |

pooledSD | Extract pooled standard deviation | |

nfnGroupedData-class | Class "nfnGroupedData" | |

weightedGets | Modify the weights | |

BIC | Bayesian Information Criterion | |

reStruct | Create an reStruct object | |

GLMM | Fit Generalized Linear Mixed Models via PQL | |

random.effects | Extract Random Effects | |

VarCorr-class | Class "VarCorr" | |

guImmun | Immunization in Guatemala | |

pdMatrix | Return the positive-definite matrix | |

nffGroupedData-class | Class "nffGroupedData" | |

glmmStruct | Create a glmm object | |

lmeControl | Control values for lme | |

solve-methods | Methods for Function solve | |

Names | Extract or assign Names | |

pdBlocked-class | Class "pdBlocked", blocked pd matrices | |

pdgradNumeric | Evaluate the pdmatrix gradient numerically | |

pdLogChol-class | Class "pdLogChol", positive-definite matrices | |

VarCorr | Extract variance and correlation components | |

groupedData-class | Class "groupedData" | |

nlme-internal | Internal nlme functions | |

pdFactor | Square-root factor | |

s3bbx | Covariates in the Rodriguez and Goldman simulation | |

s3bby | Responses simulated by Rodriguez and Goldman | |

No Results! |

## Last month downloads

## Details

Date | 2003/06/24 |

License | GPL version 2 or later |

depends | base (>= 1.7.0) , methods |

Contributors | Douglas Bates, Saikat DebRoy |

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