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lqmm (version 1.0)

Linear Quantile Mixed Models

Description

Fit quantile regression models for independent and hierarchical data

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Version

Install

install.packages('lqmm')

Monthly Downloads

4,105

Version

1.0

License

GPL (>= 3)

Maintainer

Marco Geraci

Last Published

April 29th, 2012

Functions in lqmm (1.0)

labor

Labor Pain Data
logLik.lqmm

Extract Log-Likelihood
coef.lqm

Extract LQM Coefficients
lqmm-package

Linear Quantile Models and Linear Quantile Mixed Models
lqmm

Fitting Linear Quantile Mixed Models
dal

The Asymmetric Laplace Distribution
lqmmControl

Control parameters for lqmm estimation
lqm

Fitting Linear Quantile Models
predict.lqm

Predictions from an lqm Object
extractBoot.lqmm

Extract Fixed and Random Bootstrapped Parameters
predict.lqmm

Predictions from an lqmm Object
residuals.lqm

Residuals from an lqm Object
lqm.fit.gs

Quantile Regression Fitting by Gradient Search
gauss.quad.prob

Gaussian Quadrature
Tfun

Accessory Functions for Duplication Matrices
boot.lqmm

Bootstrapping Linear Quantile Mixed Models
cov.lqmm

Extract Variance-Covariance Matrix
asOneFormula

Combine Formulas of a Set of Objects
meanAL

Functions for Asymmetric Laplace Distribution Parameters
mleAL

Maximum Likelihood Estimation of Asymmetric Laplace Distribution
F.lqm

Accessory Function
print.summary.lqm

Print an lqm Summary Object
print.lqmm

Print an lqmm Object
permutations

Permutations
Orthodont

Growth curve data on an orthdontic measurement
summary.lqmm

Summary for an lqmm Object
summary.boot.lqmm

Summary for a boot.lqmm Object
is.positive.definite

Test for Positive Definiteness
coef.lqmm

Extract LQMM Coefficients
raneff.lqmm

Random Effects
cov.sel

Accessory Functions
summary.boot.lqm

Summary for a boot.lqm Object
boot.lqm

Bootstrapping Linear Quantile Models
lqmm.fit.df

Linear Quantile Mixed Models Fitting by Derivative-Free Optimization
make.positive.definite

Compute Nearest Positive Definite Matrix
gauss.quad

Gaussian Quadrature
print.lqm

Print an lqm Object
AIC.lqm

Akaike Information Criterion for LQM
summary.lqm

Summary for an lqm Object
logLik.lqm

Extract Log-Likelihood
lqmm-internal

Internal lqmm objects
print.summary.lqmm

Print an lqmm Summary Object
lqm.counts

Quantile Regression for Counts
lqmControl

Control parameters for lqm estimation
residuals.lqmm

Residuals from an lqmm Object
addnoise

Jittering
lqmm.fit.gs

Linear Quantile Mixed Models Fitting by Gradient Search
quad

Accessory Functions
AIC.lqmm

Akaike Information Criterion for LQMM
covHandling

Variance-Covariance Matrix