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Qtools (version 1.6.0)

Utilities for Quantiles

Description

Functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, restricted quantile regression, directional quantile classification, and quantile ratio regression. A vignette is given in Geraci (2016, The R Journal) and included in the package.

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Version

Install

install.packages('Qtools')

Monthly Downloads

417

Version

1.6.0

License

GPL (>= 2)

Maintainer

Marco Geraci

Last Published

July 28th, 2025

Functions in Qtools (1.6.0)

dqcControl

Control parameters for dqc estimation
confint.midquantile

Mid-distribution Functions
fitted.rq.counts

Extract Fitted Values from Quantile Regression Models for Counts
fitted.midrq

Extract Fitted Values from Mid-Quantile Transformation Models
coef.rq.counts

Extract Coefficients
esterase

Esterase Essay Data
nlControl

Control parameters for gradient search estimation
maref.rqt

Marginal Effects
midquantile

Mid-distribution Functions
labor

Labor Pain Data
midrq

Mid-Quantile Regression for Discrete Responses
midrqControl

Control parameters for midrq estimation
plot.midq2q

Plot Quantile Functions
plot.midquantile

Plot Mid-distribution Functions
coef.rqt

Extract Coefficients
midq2q.midrq

Recover Ordinary Quantiles from Mid-Quantiles
print.cmidecdf

Print Mid-distribution Functions
predict.qrr

Predictions from Quantile Ratio Regression Models
predict.qlss

Predictions from Conditional LSS Objects
mice.impute.rq

QR-based Multiple Imputation
predict.midrq

Predictions from Mid-Quantile Regression Models
plot.qlss

Quantile-based Summary Statistics for Location, Scale and Shape
qexact

Exact Confidence Intervals for Quantiles
print.LOFTest

Print Lack-of-Fit Test for Quantile Regression Models
print.rrq

Print Restricted Quantile Regression Models
predict.rrq

Predictions from Restricted Quantile Regression Models
predict.rqt

Predictions from Quantile Regression Transformation Models
print.midquantile

Print Mid-distribution Functions
predict.rq.counts

Predictions from rq.counts Objects
print.midrq

Print Mid-Quantile Models
print.qrr

Print Quantile Ratio Regression Models
rrq

Restricted Regression Quantiles
print.rq.counts

Print rq.counts
print.rqt

Print Transformation Models
print.qlss

Print Quantile-based Summary Statistics for Location, Scale and Shape
qrr

Quantile Ratio Regression
sparsity.rqt

Sparsity Estimation
rq.counts

Quantile Regression for Counts
qlss

Quantile-based Summary Statistics for Location, Scale and Shape
vcov.midrq

Variance-Covariance Matrix for a Fitted Mid-Quantile Regression Model Object
residuals.rq.counts

Residuals from an rq.counts Object
residuals.midrq

Residuals from a midrq Objects
summary.midrq

Summary for Mid-Quantile Regression Models
print.dqc

Print Directional Quantile Classification Objects
qsmspline

Quantile Regression with Smoothing Splines
vcov.qrr

Variance-Covariance Matrix for a Fitted Quantile Ratio Regression Model Object
residuals.rqt

Residuals from an rqt Objects
summary.rqt

Summary for Quantile Regression Tranformation Models
summary.qrr

Summary for Quantile Ratio Regression Models
tsrq

Quantile Regression Transformation Models
summary.rrq

Summary for Restricted Quantile Regression Models
LOFTest

Lack-of-Fit Tests for Quantile Regression Models
KhmaladzeFormat

Khmaladze Test
coef.midrq

Extract Coefficients
Qtools-internal

Internal Qtools objects
Qtools-package

Utilities for Quantilies
coef.qrr

Extract Coefficients
fitted.rqt

Extract Fitted Values from Quantile Regression Transformation Models
cmidecdf

Mid-distribution Functions
dqc

Directional Quantile Classification
fars

FARS Data
Orthodont

Growth curve data on an orthdontic measurement
ao

Transformations
Chemistry

A-level Chemistry Scores