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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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Install
install.packages('lqmm')
Monthly Downloads
1,666
Version
1.04
License
GPL (>= 2)
Maintainer
Marco Geraci
Last Published
January 9th, 2014
Functions in lqmm (1.04)
Search functions
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