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Qtools (version 1.5.6)

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, and directional quantile classification. 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

487

Version

1.5.6

License

GPL (>= 2)

Maintainer

Marco Geraci

Last Published

May 30th, 2022

Functions in Qtools (1.5.6)

dqc

Directional Quantile Classification
fitted.midrq

Extract Fitted Values from Mid-Quantile Transformation Models
plot.midq2q

Plot Quantile Functions
labor

Labor Pain Data
maref.rqt

Marginal Effects
plot.midquantile

Plot Mid-distribution Functions
esterase

Esterase Essay Data
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
midq2q

Recover Ordinary Conditional Quantiles from Conditional Mid-Quantiles
print.GOFTest

Print Goodness-of-Fit Test for Quantile Regression Models
print.cmidecdf

Print Mid-distribution Functions
print.rrq

Print Restricted Quantile Regression Models
qexact

Exact Confidence Intervals for Quantiles
vcov.midrq

Variance-Covariance Matrix for a Fitted Mid-Quantile Regression Model Object
coef.rqt

Extract Coefficients
tsrq

Quantile Regression Transformation Models
print.midrq

Print Mid-Quantile Models
coef.rq.counts

Extract Coefficients
fitted.rqt

Extract Fitted Values from Quantile Regression Transformation Models
fitted.rq.counts

Extract Fitted Values from Quantile Regression Models for Counts
print.qlss

Print Quantile-based Summary Statistics for Location, Scale and Shape
predict.qlss

Predictions from Conditional LSS Objects
predict.rq.counts

Predictions from rq.counts Objects
dqcControl

Control parameters for dqc estimation
midrqControl

Control parameters for midrq estimation
nlControl

Control parameters for gradient search estimation
midquantile

Mid-distribution Functions
rq.counts

Quantile Regression for Counts
qlss

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

Restricted Regression Quantiles
confint.midquantile

Mid-distribution Functions
residuals.rq.counts

Residuals from an rq.counts Object
residuals.rqt

Residuals from an rqt Objects
sparsity.rqt

Sparsity Estimation
summary.midrq

Summary for Mid-Quantile Regression Models
residuals.midrq

Residuals from a midrq Objects
summary.rrq

Summary for Restricted Quantile Regression Models
summary.rqt

Summary for Quantile Regression Tranformation Models
predict.rqt

Predictions from Quantile Regression Transformation Models
predict.rrq

Predictions from Restricted Quantile Regression Models
print.rq.counts

Print rq.counts
print.midquantile

Print Mid-distribution Functions
print.rqt

Print Transformation Models
print.dqc

Print Directional Quantile Classification Objects
midrq

Mid-Quantile Regression for Discrete Responses
cmidecdf

Mid-distribution Functions
GOFTest

Goodness-of-Fit Tests for Quantile Regression Models
KhmaladzeFormat

Khmaladze Test
Qtools-package

Utilities for Quantilies
Orthodont

Growth curve data on an orthdontic measurement
Qtools-internal

Internal Qtools objects
Chemistry

A-level Chemistry Scores
coef.midrq

Extract Coefficients
ao

Transformations