Package: qrcm 3.2

Paolo Frumento

qrcm: Quantile Regression Coefficients Modeling

Parametric modeling of quantile regression coefficient functions.

Authors:Paolo Frumento [aut, cre]

# Install 'qrcm' in R:

install.packages('qrcm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:e287f395b7. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	162
source / vignettes	OK	180
linux-release-x86_64	OK	163
wasm-release	OK	121

Help page	Topics
Quantile Regression Coefficients Modeling	qrcm-package
Diagnose Quantile Crossing	diagnose.qc
Quantile Regression Coefficients Modeling	iqr
Quantile Regression Coefficients Modeling with Longitudinal Data	iqrL
Basis of a Piecewise Linear Function	plf
Plot Quantile Regression Coefficients	plot.iqr
Plot Quantile Regression Coefficients with Longitudinal Data	plot.iqrL
Prediction After Quantile Regression Coefficients Modeling	predict.iqr
Prediction After Quantile Regression Coefficients Modeling with Longitudinal Data	predict.iqrL
Estimate Non-Crossing Quantile Functions	qc.control
Shifted Legendre Polynomials	slp
Summary After Quantile Regression Coefficients Modeling	summary.iqr
Summary After Quantile Regression Coefficients Modeling With Longitudinal Data	summary.iqrL
Goodness-of-Fit Test	test.fit
Goodness-of-Fit Test	test.fit.iqr
Goodness-of-Fit Test	test.fit.iqrL