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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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Install
install.packages('lqmm')
Monthly Downloads
1,666
Version
1.0
License
GPL (>= 3)
Maintainer
Marco Geraci
Last Published
April 29th, 2012
Functions in lqmm (1.0)
Search functions
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