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lqmm (version 1.5.3)
Linear Quantile Mixed Models
Description
This is a collection of functions to fit quantile regression models for independent and hierarchical data.
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Install
install.packages('lqmm')
Monthly Downloads
1,777
Version
1.5.3
License
GPL (>= 2)
Maintainer
Marco Geraci
Last Published
February 3rd, 2016
Functions in lqmm (1.5.3)
Search functions
lqmm-internal
Internal lqmm objects
VarCorr.lqmm
Extract Variance-Covariance Matrix
is.positive.definite
Test for Positive Definiteness
lqm.fit.gs
Quantile Regression Fitting by Gradient Search
summary.lqm
Summary for an
lqm
Object
mleAL
Maximum Likelihood Estimation of Asymmetric Laplace Distribution
lqmControl
Control parameters for lqm estimation
lqmm.fit.df
Linear Quantile Mixed Models Fitting by Derivative-Free Optimization
predict.lqmm
Predictions from an
lqmm
Object
coef.lqmm
Extract LQMM Coefficients
logLik.lqmm
Extract Log-Likelihood
labor
Labor Pain Data
summary.boot.lqm
Summary for a
boot.lqm
Object
make.positive.definite
Compute Nearest Positive Definite Matrix
covHandling
Variance-Covariance Matrix
lqmm
Fitting Linear Quantile Mixed Models
lqmmControl
Control parameters for lqmm estimation
lqmm.fit.gs
Linear Quantile Mixed Models Fitting by Gradient Search
extractBoot
Extract Fixed and Random Bootstrapped Parameters
coef.lqm
Extract LQM Coefficients
ranef.lqmm
Extract Random Effects
print.summary.lqmm
Print an
lqmm
Summary Object
Orthodont
Growth curve data on an orthdontic measurement
residuals.lqmm
Residuals from an
lqmm
Object
lqm.counts
Quantile Regression for Counts
print.lqm
Print LQM Objects
summary.lqmm
Summary for an
lqmm
Object
dal
The Asymmetric Laplace Distribution
summary.boot.lqmm
Summary for a
boot.lqmm
Object
predict.lqm
Predictions from LQM Objects
lqmm-package
Linear Quantile Models and Linear Quantile Mixed Models
residuals.lqm
Residuals from an LQM Objects
boot
Bootstrap functions for LQM and LQMM
gauss.quad.prob
Gaussian Quadrature
meanAL
Functions for Asymmetric Laplace Distribution Parameters
lqm
Fitting Linear Quantile Models
print.lqmm
Print an
lqmm
Object
gauss.quad
Gaussian Quadrature
logLik.lqm
Extract Log-Likelihood
print.summary.lqm
Print an
lqm
Summary Object