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Qtools (version 1.3)

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, and restricted quantile regression. A vignette is given in Geraci (2016, The R Journal) and included in the package documents.

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Version

Install

install.packages('Qtools')

Monthly Downloads

425

Version

1.3

License

GPL (>= 2)

Maintainer

Marco Geraci

Last Published

April 13th, 2018

Functions in Qtools (1.3)

Chemistry

A-level Chemistry Scores
GOFTest

Goodness-of-Fit Tests for Quantile Regression Models
ao

Transformations
coef.rq.bin

Extract Coefficients
confint.midquantile

Mid-distribution Functions
esterase

Esterase Essay Data
Qtools-internal

Internal Qtools objects
Qtools-package

Utilities for Quantilies
KhmaladzeFormat

Khmaladze Test
Orthodont

Growth curve data on an orthdontic measurement
predict.rrq

Predictions from Restricted Quantile Regression Models
fitted.rqt

Extract Fitted Values from Quantile Regression Transformation Models
rq.counts

Quantile Regression for Counts
labor

Labor Pain Data
print.GOFTest

Print Goodness-of-Fit Test for Quantile Regression Models
maref.rqt

Marginal Effects
midquantile

Mid-distribution Functions
mice.impute.rq

QR-based Multiple Imputation
nlControl

Control parameters for gradient search estimation
rqbinControl

Control parameters for rqbin estimation
predict.rq.counts

Predictions from rq.counts Objects
predict.qlss

Predictions from Conditional LSS Objects
predict.rqt

Predictions from Quantile Regression Transformation Models
summary.rqt

Summary for Quantile Regression Tranformation Models
predict.rq.bin

Predictions from rq.bin Objects
qlss

Quantile-based Summary Statistics for Location, Scale and Shape
print.rqt

Print Transformation Models
plot.midquantile

Plot Mid-distribution Functions
summary.rrq

Summary for Restricted Quantile Regression Models
plot.qlss

Quantile-based Summary Statistics for Location, Scale and Shape
residuals.rqt

Residuals from an rqt Objects
residuals.rq.counts

Residuals from an rq.counts Object
print.rrq

Print Restricted Quantile Regression Models
rq.bin

Binary Quantile Regression
rrq

Restricted Regression Quantiles
coef.rq.counts

Extract Coefficients
coef.rqt

Extract Coefficients
sparsity.rqt

Sparsity Estimation
fitted.rq.bin

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

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

Print Mid-distribution Functions
print.rq.bin

Print Binary Quantile Regression Models
print.qlss

Print Quantile-based Summary Statistics for Location, Scale and Shape
print.rq.counts

Print rq.counts
tsrq

Quantile Regression Transformation Models