boot | Bootstrap functions for LQM and LQMM |
coef.lqm | Extract LQM Coefficients |
coef.lqmm | Extract LQMM Coefficients |
covHandling | Variance-Covariance Matrix |
dal | The Asymmetric Laplace Distribution |
extractBoot | Extract Fixed and Random Bootstrapped Parameters |
gauss.quad | Gaussian Quadrature |
gauss.quad.prob | Gaussian Quadrature |
is.positive.definite | Test for Positive Definiteness |
labor | Labor Pain Data |
logLik.lqm | Extract Log-Likelihood |
logLik.lqmm | Extract Log-Likelihood |
lqm | Fitting Linear Quantile Models |
lqmControl | Control parameters for lqm estimation |
lqm.counts | Quantile Regression for Counts |
lqm.fit.gs | Quantile Regression Fitting by Gradient Search |
lqmm | Fitting Linear Quantile Mixed Models |
lqmmControl | Control parameters for lqmm estimation |
lqmm.fit.df | Linear Quantile Mixed Models Fitting by Derivative-Free... |
lqmm.fit.gs | Linear Quantile Mixed Models Fitting by Gradient Search |
lqmm-internal | Internal lqmm objects |
lqmm-package | Linear Quantile Models and Linear Quantile Mixed Models |
make.positive.definite | Compute Nearest Positive Definite Matrix |
meanAL | Functions for Asymmetric Laplace Distribution Parameters |
mleAL | Maximum Likelihood Estimation of Asymmetric Laplace... |
Orthodont | Growth curve data on an orthdontic measurement |
predict.lqm | Predictions from LQM Objects |
predict.lqmm | Predictions from an 'lqmm' Object |
print.lqm | Print LQM Objects |
print.lqmm | Print an 'lqmm' Object |
print.summary.lqm | Print an 'lqm' Summary Object |
print.summary.lqmm | Print an 'lqmm' Summary Object |
ranef | Extract Random Effects |
residuals.lqm | Residuals from an LQM Objects |
residuals.lqmm | Residuals from an 'lqmm' Object |
summary.boot.lqm | Summary for a 'boot.lqm' Object |
summary.boot.lqmm | Summary for a 'boot.lqmm' Object |
summary.lqm | Summary for an 'lqm' Object |
summary.lqmm | Summary for an 'lqmm' Object |
VarCorr | Extract Variance-Covariance Matrix |
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