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Qtools (version 1.5.1)

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.

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Version

Install

install.packages('Qtools')

Monthly Downloads

707

Version

1.5.1

License

GPL (>= 2)

Maintainer

Marco Geraci

Last Published

December 13th, 2019

Functions in Qtools (1.5.1)

cmidecdf

Mid-distribution Functions
Chemistry

A-level Chemistry Scores
ao

Transformations
coef.rq.counts

Extract Coefficients
GOFTest

Goodness-of-Fit Tests for Quantile Regression Models
Orthodont

Growth curve data on an orthdontic measurement
coef.midrq

Extract Coefficients
KhmaladzeFormat

Khmaladze Test
Qtools-internal

Internal Qtools objects
Qtools-package

Utilities for Quantilies
esterase

Esterase Essay Data
mice.impute.rq

QR-based Multiple Imputation
predict.rqt

Predictions from Quantile Regression Transformation Models
maref.rqt

Marginal Effects
labor

Labor Pain Data
qlss

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

Residuals from an rq.counts Object
predict.rrq

Predictions from Restricted Quantile Regression Models
residuals.rqt

Residuals from an rqt Objects
residuals.midrq

Residuals from a midrq Objects
fitted.midrq

Extract Fitted Values from Mid-Quantile Transformation Models
print.rqt

Print Transformation Models
midquantile

Mid-distribution Functions
print.rq.counts

Print rq.counts
fitted.rq.counts

Extract Fitted Values from Quantile Regression Models for Counts
midrq

Mid-Quantile Regression for Discrete Responses
midrqControl

Control parameters for aqmm estimation
plot.qlss

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

Quantile Regression for Counts
print.rrq

Print Restricted Quantile Regression Models
predict.midrq

Predictions from Mid-Quantile Regression Models
rrq

Restricted Regression Quantiles
print.cmidecdf

Print Mid-distribution Functions
tsrq

Quantile Regression Transformation Models
fitted.rqt

Extract Fitted Values from Quantile Regression Transformation Models
coef.rqt

Extract Coefficients
print.GOFTest

Print Goodness-of-Fit Test for Quantile Regression Models
predict.qlss

Predictions from Conditional LSS Objects
vcov.midrq

Variance-Covariance Matrix for a Fitted Mid-Quantile Regression Model Object
print.qlss

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

Summary for Mid-Quantile Regression Models
predict.rq.counts

Predictions from rq.counts Objects
sparsity.rqt

Sparsity Estimation
confint.midquantile

Mid-distribution Functions
print.midquantile

Print Mid-distribution Functions
plot.midquantile

Plot Mid-distribution Functions
nlControl

Control parameters for gradient search estimation
print.midrq

Print Mid-Quantile Models
summary.rqt

Summary for Quantile Regression Tranformation Models
summary.rrq

Summary for Restricted Quantile Regression Models