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lqmm (version 1.5.8)

Linear Quantile Mixed Models

Description

Functions to fit quantile regression models for hierarchical data (2-level nested designs) as described in Geraci and Bottai (2014, Statistics and Computing) . A vignette is given in Geraci (2014, Journal of Statistical Software) and included in the package documents. The packages also provides functions to fit quantile models for independent data and for count responses.

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Version

Install

install.packages('lqmm')

Monthly Downloads

2,315

Version

1.5.8

License

GPL (>= 2)

Maintainer

Marco Geraci

Last Published

April 6th, 2022

Functions in lqmm (1.5.8)

boot

Bootstrap functions for LQM and LQMM
coef.lqm

Extract LQM Coefficients
VarCorr.lqmm

Extract Variance-Covariance Matrix
gauss.quad

Gaussian Quadrature
gauss.quad.prob

Gaussian Quadrature
logLik.lqm

Extract Log-Likelihood
lqm.fit.gs

Quantile Regression Fitting by Gradient Search
logLik.lqmm

Extract Log-Likelihood
labor

Labor Pain Data
is.positive.definite

Test for Positive Definiteness
lqmControl

Control parameters for lqm estimation
meanAL

Functions for Asymmetric Laplace Distribution Parameters
make.positive.definite

Compute Nearest Positive Definite Matrix
coef.lqmm

Extract LQMM Coefficients
predict.lqm

Predictions from LQM Objects
covHandling

Variance-Covariance Matrix
ranef.lqmm

Extract Random Effects
print.summary.lqmm

Print an lqmm Summary Object
mleAL

Maximum Likelihood Estimation of Asymmetric Laplace Distribution
lqmm-package

Linear Quantile Models and Linear Quantile Mixed Models
lqmm-internal

Internal lqmm objects
lqmm.fit.df

Linear Quantile Mixed Models Fitting by Derivative-Free Optimization
dal

The Asymmetric Laplace Distribution
lqmm

Fitting Linear Quantile Mixed Models
print.lqmm

Print an lqmm Object
summary.lqmm

Summary for an lqmm Object
summary.lqm

Summary for an lqm Object
extractBoot

Extract Fixed and Random Bootstrapped Parameters
lqm

Fitting Linear Quantile Models
print.summary.lqm

Print an lqm Summary Object
summary.boot.lqm

Summary for a boot.lqm Object
predict.lqmm

Predictions from an lqmm Object
lqm.counts

Quantile Regression for Counts
print.lqm

Print LQM Objects
summary.boot.lqmm

Summary for a boot.lqmm Object
lqmm.fit.gs

Linear Quantile Mixed Models Fitting by Gradient Search
residuals.lqmm

Residuals from an lqmm Object
residuals.lqm

Residuals from an LQM Objects
lqmmControl

Control parameters for lqmm estimation
Orthodont

Growth curve data on an orthdontic measurement