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lqmm (version 1.04)

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

1.04

License

GPL (>= 2)

Maintainer

Marco Geraci

Last Published

January 9th, 2014

Functions in lqmm (1.04)

labor

Labor Pain Data
lqm.fit.gs

Quantile Regression Fitting by Gradient Search
lqmm

Fitting Linear Quantile Mixed Models
print.summary.lqmm

Print an lqmm Summary Object
summary.boot.lqm

Summary for a boot.lqm Object
lqmm-internal

Internal lqmm objects
lqmmControl

Control parameters for lqmm estimation
gauss.quad

Gaussian Quadrature
boot.lqm

Bootstrapping Linear Quantile Models
lqmm.fit.df

Linear Quantile Mixed Models Fitting by Derivative-Free Optimization
residuals.lqm

Residuals from an LQM Objects
predict.lqm

Predictions from LQM Objects
is.positive.definite

Test for Positive Definiteness
lqm.counts

Quantile Regression for Counts
print.summary.lqm

Print an lqm Summary Object
mleAL

Maximum Likelihood Estimation of Asymmetric Laplace Distribution
covHandling

Variance-Covariance Matrix
AIC.lqmm

Akaike Information Criterion for LQMM
Orthodont

Growth curve data on an orthdontic measurement
residuals.lqmm

Residuals from an lqmm Object
print.lqmm

Print an lqmm Object
lqmControl

Control parameters for lqm estimation
coef.lqmm

Extract LQMM Coefficients
lqmm.fit.gs

Linear Quantile Mixed Models Fitting by Gradient Search
logLik.lqm

Extract Log-Likelihood
summary.boot.lqmm

Summary for a boot.lqmm Object
AIC.lqm

Akaike Information Criterion for LQM
coef.lqm

Extract LQM Coefficients
cov.lqmm

Extract Variance-Covariance Matrix
gauss.quad.prob

Gaussian Quadrature
logLik.lqmm

Extract Log-Likelihood
boot.lqmm

Bootstrapping Linear Quantile Mixed Models
lqmm-package

Linear Quantile Models and Linear Quantile Mixed Models
lqm

Fitting Linear Quantile Models
dal

The Asymmetric Laplace Distribution
meanAL

Functions for Asymmetric Laplace Distribution Parameters
raneff.lqmm

Random Effects
predict.lqmm

Predictions from an lqmm Object
make.positive.definite

Compute Nearest Positive Definite Matrix
summary.lqm

Summary for an lqm Object
extractBoot.lqmm

Extract Fixed and Random Bootstrapped Parameters
print.lqm

Print LQM Objects
summary.lqmm

Summary for an lqmm Object