R: Linear Quantile Mixture Models

# Linear Quantile Mixture Models

## Documentation for package ‘lqmix’ version 1.2

- DESCRIPTION file
- Package NEWS

## Help Pages

lqmix-package | Overview of the package 'lqmix'
cd4 | CD4 Data
coef.lqmix | Print the estimated coefficients of an 'lqmix' object
coef.lqr | Print the estimated coefficients of an 'lqr' object
coef.search_lqmix | Printn the estimated coefficients for the optimal fitted model
dal | Density of the Asymmetric Laplace Distribution
logLik.lqmix | Print the log-likelihood of an '{lqmix}' object
logLik.lqr | Print the log-likelihood of an 'lqr' object
logLik.search_lqmix | Print the log-likelihood of the optimal model stored in a 'search_lqmix' object
lqmix | Linear Quantile Mixture with TC and/or TV, discrete, random coefficients
lqr | Linear Quantile Regression
pain | Pain Data
plot.lqmix | Plots for 'lqmix' objects
plot.search_lqmix | Plots for 'search_lqmix' objects
predict.lqmix | Predictions from an 'lqmix' object
predict.lqr | Predictions from an 'lqr' object
predict.search_lqmix | Predictions from the optimal fitted model
print.lqmix | Print an 'lqmix' object
print.lqr | Print an 'lqr' object
print.search_lqmix | Print a 'search_lqmix' object
print.summary.lqmix | Print the summary of an 'lqmix' object
print.summary.lqr | Print the summary of an 'lqr' object
print.summary.search_lqmix | Print the summary of a 'search_lqmix' object
residuals.lqmix | Residuals from an 'lqmix' object
residuals.lqr | Residuals from an 'lqr' object
residuals.search_lqmix | Residuals from the optimal fitted model
search_lqmix | Search the Global Maximum of a Linear Quantile Mixture
summary.lqmix | Summary of an 'lqmix' object
summary.lqr | Summary of an 'lqr' object
summary.search_lqmix | Summary of a 'search_lqmix' object
varAL | Variance of Asymmetric Laplace random variables
vcov.lqmix | Calculate variance-covariance matrix for a fitted 'lqmix' object
vcov.lqr | Calculate variance-covariance matrix for a fitted 'lqr' object
vcov.search_lqmix | Calculate variance-covariance matrix for the optimal fitted model