R: Quantile, Composite Quantile Regression and Regularized Versions

# Quantile, Composite Quantile Regression and Regularized Versions

## Documentation for package ‘cqrReg’ version 1.2.1

- DESCRIPTION file.

## Help Pages

cqr.admm | Composite Quantile regression (cqr) use Alternating Direction Method of Multipliers (ADMM) algorithm.
cqr.cd | Composite Quantile Regression (cqr) use Coordinate Descent (cd) Algorithms
cqr.fit | Composite Quantile Regression (cqr) model fitting
cqr.fit.lasso | Composite Quantile Regression (cqr) with Adaptive Lasso Penalty (lasso)
cqr.ip | Composite Quantile Regression (cqr) use Interior Point (ip) Method
cqr.lasso.admm | Composite Quantile Regression (cqr) with Adaptive Lasso Penalty (lasso) use Alternating Direction Method of Multipliers (ADMM) algorithm
cqr.lasso.cd | Composite Quantile Regression (cqr) with Adaptive Lasso Penalty (lasso) use Coordinate Descent (cd) Algorithms
cqr.lasso.mm | Composite Quantile Regression (cqr) with Adaptive Lasso Penalty (lasso) use Majorize and Minimize (mm) Algorithm
cqr.mm | Composite Quantile Regression (cqr) use Majorize and Minimize (mm) Algorithm
CQRADMMCPP | Composite Quantile regression (cqr) use Alternating Direction Method of Multipliers (ADMM) algorithm core computational part
CQRCDCPP | Composite Quantile Regression (cqr) use Coordinate Descent (cd) Algorithms core computational part
CQRMMCPP | Composite Quantile Regression (cqr) use Majorize and Minimize (mm) Algorithm core computational part
CQRPADMMCPP | Composite Quantile Regression (cqr) with Adaptive Lasso Penalty (lasso) use Alternating Direction Method of Multipliers (ADMM) algorithm core computational part
CQRPCDCPP | Composite Quantile Regression (cqr) with Adaptive Lasso Penalty (lasso) use Coordinate Descent (cd) Algorithms core computational part
CQRPMMCPP | Composite Quantile Regression (cqr) with Adaptive Lasso Penalty (lasso) use Majorize and Minimize (mm) Algorithm core computational part
QR.admm | Quantile Regression (QR) use Alternating Direction Method of Multipliers (ADMM) algorithm
QR.cd | Quantile Regression (QR) use Coordinate Descent (cd) Algorithms
QR.ip | Quantile Regression (QR) use Interior Point (ip) Method
QR.lasso.admm | Quantile Regression (QR) with Adaptive Lasso Penalty (lasso) use Alternating Direction Method of Multipliers (ADMM) algorithm
QR.lasso.cd | Quantile Regression (QR) with Adaptive Lasso Penalty (lasso) use Coordinate Descent (cd) Algorithms
QR.lasso.ip | Quantile Regression (QR) with Adaptive Lasso Penalty (lasso) use Interior Point (ip) Method
QR.lasso.mm | Quantile Regression (QR) with Adaptive Lasso Penalty (lasso) use Majorize and Minimize (mm) algorithm
QR.mm | Quantile Regression (QR) use Majorize and Minimize (mm) algorithm
QRADMMCPP | Quantile Regression (QR) use Alternating Direction Method of Multipliers (ADMM) algorithm core computational part
QRCDCPP | Quantile Regression (QR) use Coordinate Descent (cd) Algorithms core computational part
qrfit | Quantile Regression (qr) model fitting
qrfit.lasso | Quantile Regression (qr) with Adaptive Lasso Penalty (lasso)
QRMMCPP | Quantile Regression (QR) use Majorize and Minimize (mm) algorithm core computational part
QRPADMMCPP | Quantile Regression (QR) with Adaptive Lasso Penalty (lasso) use Alternating Direction Method of Multipliers (ADMM) algorithm core computational part
QRPCDCPP | Quantile Regression (QR) with Adaptive Lasso Penalty (lasso) use Coordinate Descent (cd) Algorithms core computational part
QRPMMCPP | Quantile Regression (QR) with Adaptive Lasso Penalty (lasso) use Majorize and Minimize (mm) algorithm core computational part