Package: unitquantreg 0.0.6

unitquantreg: Parametric Quantile Regression Models for Bounded Data

A collection of parametric quantile regression models for bounded data. At present, the package provides 13 parametric quantile regression models. It can specify regression structure for any quantile and shape parameters. It also provides several S3 methods to extract information from fitted model, such as residual analysis, prediction, plotting, and model comparison. For more computation efficient the [dpqr]'s, likelihood, score and hessian functions are written in C++. For further details see Mazucheli et. al (2022) <doi:10.1016/j.cmpb.2022.106816>.

Authors:André F. B. Menezes [aut, cre], Josmar Mazucheli [aut]

unitquantreg_0.0.6.tar.gz
unitquantreg_0.0.6.zip(r-4.7)unitquantreg_0.0.6.zip(r-4.6)unitquantreg_0.0.6.zip(r-4.5)
unitquantreg_0.0.6.tgz(r-4.6-x86_64)unitquantreg_0.0.6.tgz(r-4.6-arm64)unitquantreg_0.0.6.tgz(r-4.5-x86_64)unitquantreg_0.0.6.tgz(r-4.5-arm64)
unitquantreg_0.0.6.tar.gz(r-4.7-arm64)unitquantreg_0.0.6.tar.gz(r-4.7-x86_64)unitquantreg_0.0.6.tar.gz(r-4.6-arm64)unitquantreg_0.0.6.tar.gz(r-4.6-x86_64)
unitquantreg_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
unitquantreg/json (API)

# Install 'unitquantreg' in R:
install.packages('unitquantreg', repos = c('https://andrmenezes.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/andrmenezes/unitquantreg/issues

Pkgdown/docs site:https://andrmenezes.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • bodyfat - Percentage of body fat data set
  • sim_bounded - Simulated data set
  • water - Access to piped water supply data set

On CRAN:

Conda:

cpp

4.00 score 1 stars 9 scripts 222 downloads 59 exports 13 dependencies

Last updated from:ede7bd6d3c. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK181
linux-devel-x86_64OK172
source / vignettesOK334
linux-release-arm64OK165
linux-release-x86_64OK180
macos-release-arm64OK101
macos-release-x86_64OK274
macos-oldrel-arm64OK156
macos-oldrel-x86_64OK226
windows-develOK162
windows-releaseOK156
windows-oldrelOK169
wasm-releaseOK141

Exports:dashwdjohnsonsbdkumdleegdubsduburrxiiduchendughnedughnxdugompertzdugumbeldulogisticduweibullhnplikelihood_statspairwise.vuong.testpashwpjohnsonsbpkumpleegpubspuburrxiipuchenpughnepughnxpugompertzpugumbelpulogisticpuweibullqashwqjohnsonsbqkumqleegqubsquburrxiiquchenqughnequghnxqugompertzqugumbelqulogisticquweibullrashwrjohnsonsbrkumrleegrubsruburrxiiruchenrughnerughnxrugompertzrugumbelrulogisticruweibullunitquantregunitquantreg.controlunitquantreg.fitvuong.test

Dependencies:FormulalatticeMASSMatrixMatrixModelsnloptrnumDerivoptimxpracmaquantregRcppSparseMsurvival

Structure and functionality
Introduction | Structure | Object-oriented programming | Functionality | Model fitting | Model comparison | Diagnostic analysis | Inference results | Session info

Last update: 2023-09-11
Started: 2022-09-13

Get started

Last update: 2022-09-22
Started: 2022-09-13

Readme and manuals

Help Manual

Help pageTopics
Overview of the 'unitquantreg' packageunitquantreg-package
The arcsecant hyperbolic Weibull distributionashw dashw pashw qashw rashw
Percentage of body fat data setbodyfat
(Half-)Normal probability plots with simulated envelopes for 'unitquantreg' objectshnp hnp.unitquantreg
The Johnson SB distributiondjohnsonsb johnsonsb pjohnsonsb qjohnsonsb rjohnsonsb
The Kumaraswamy distributiondkum kum pkum qkum rkum
The Log-extended exponential-geometric distributiondleeg leeg pleeg qleeg rleeg
Likelihood-based statistics of fit for 'unitquantreg' objects.likelihood_stats print.likelihood_stats
Log-likelihood, score vector and hessian matrix.loglike_unitquantreg
Methods for 'unitquantreg' and 'unitquantregs' objectscoef.unitquantreg confint.unitquantreg fitted.unitquantreg logLik.unitquantreg methods-unitquantreg model.frame.unitquantreg model.matrix.unitquantreg print.unitquantreg print.unitquantregs summary.unitquantreg summary.unitquantregs terms.unitquantreg update.unitquantreg vcov.unitquantreg
Pairwise vuong testpairwise.vuong.test
Plot method for 'unitquantreg' objectsplot.unitquantreg
Plot method for 'unitquantregs' objectsplot.unitquantregs
Prediction method for 'unitquantreg' classpredict.unitquantreg
Residuals method for 'unitquantreg' objectsresiduals.unitquantreg
Simulated data setsim_bounded
The unit-Birnbaum-Saunders distributiondubs pubs qubs rubs ubs
The unit-Burr-XII distributionduburrxii puburrxii quburrxii ruburrxii uburrxii
The unit-Chen distributionduchen puchen quchen ruchen uchen
The unit-Half-Normal-E distributiondughne pughne qughne rughne ughne
The unit-Half-Normal-X distributiondughnx pughnx qughnx rughnx ughnx
The unit-Gompertz distributiondugompertz pugompertz qugompertz rugompertz ugompertz
The unit-Gumbel distributiondugumbel pugumbel qugumbel rugumbel ugumbel
The unit-Logistic distributiondulogistic pulogistic qulogistic rulogistic ulogistic
Parametric unit quantile regression modelsunitquantreg unitquantreg.fit
Control parameters for unit quantile regressionunitquantreg.control
The unit-Weibull distributionduweibull puweibull quweibull ruweibull uweibull
Vuong testvuong.test
Access to piped water supply data setwater