Package: cdfquantreg 1.3.1-2

Yiyun Shou

cdfquantreg: Quantile Regression for Random Variables on the Unit Interval

Employs a two-parameter family of distributions for modelling random variables on the (0, 1) interval by applying the cumulative distribution function (cdf) of one parent distribution to the quantile function of another.

Authors:Yiyun Shou [aut, cre], Michael Smithson [aut]

cdfquantreg_1.3.1-2.tar.gz
cdfquantreg_1.3.1-2.tar.gz(r-4.5-noble)cdfquantreg_1.3.1-2.tar.gz(r-4.4-noble)
cdfquantreg_1.3.1-2.tgz(r-4.4-emscripten)cdfquantreg_1.3.1-2.tgz(r-4.3-emscripten)
cdfquantreg.pdf |cdfquantreg.html✨
cdfquantreg/json (API)
NEWS

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

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.43 score 2 stars 34 scripts 372 downloads 22 exports 3 dependencies

Last updated 1 years agofrom:97b03ebce7. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 24 2024
R-4.5-linuxOKDec 24 2024

Exports:bugsLikelihoodbugsModelcdfftcdfqr.controlcdfqrFamilycdfquantregcdfquantregCcdfquantregFTcdfquantregHdqpdfftpqqqqqftqrBootqrGradqrLogLikqrPwlmqrStartrqrqftscaleTR

Dependencies:FormulaMASSpracma

cdfquantreg: An Introduction

Michael Smithson, Yiyun Shou

Rendered fromCDFQuantregIntroduction.Rmdusingknitr::rmarkdownon Dec 24 2024.

Last update: 2022-03-13
Started: 2015-12-27

cdfquantreg: IPCC data example

Yiyun Shou, Michael Smithson

Rendered fromIPCCExample.Rmdusingknitr::rmarkdownon Dec 24 2024.

Last update: 2022-03-13
Started: 2015-12-27

cdfquantreg: Juror & Stree data example

Yiyun Shou, Michael Smithson

Rendered fromSmithson_Verkuilen2006Example.Rmdusingknitr::rmarkdownon Dec 24 2024.

Last update: 2022-03-13
Started: 2015-12-27

Censored and Hurdle Model Vignettes

Michael Smithson, Yiyun Shou

Rendered fromHurdleModelVignetteDraft.Rmdusingknitr::rmarkdownon Dec 24 2024.

Last update: 2022-03-13
Started: 2018-03-05

Readme and manuals

Help Manual

Help pageTopics
Quantile Regression for Random Variables on the Unit Intervalcdfquantreg-package
Ambiguity-Conflict dataAmbdata
Model comparison test for fitted cdfqr modelsanova.cdfqr
Stress-Anxiety dataAnxStrData
Likelihood Functions for Generating OpenBUGS Model FilebugsLikelihood
Generating OpenBUGS Model FilebugsModel
The Family of Finite-Tailed Distributionscdfft pdfft qqft rqft
Control Optimization Parameters for CDF-Quantile Probability Distributionscdfqr.control
Overview of the family of distributionscdfqrFamily
CDF-Quantile Probability Distributionscdfquantreg
Censored CDF-Quantile Probability DistributionscdfquantregC
CDF-Quantile Finite Tailed Probability DistributionscdfquantregFT
Zero/One inflated CDF-Quantile Probability DistributionscdfquantregH
The Family of Distributionsdq pq qq rq
Extinction Study data-setExtEvent
Influence Diagnosis For Fitted Cdfqr Objectdfbeta.cdfqr dfbetas.cdfqr influence.cdfqr
IPCC data-setIPCC
IPCC data-set - Wide formatIPCC_Wide
IPCC data-set - Australian dataIPCCAUS
Juror dataJurorData
Plot Fitted Values/Residuals of A Cdfqr Object or Distributionplot.cdfqr
Methods for Cdfqr Objectsfitted.cdfqr predict.cdfqr
Bootstrapping for cdf quantile regressionqrBoot
Give the Gradient Function for CDF-Quantile Distribution ModelsqrGrad
Log Likelihood for Fitting Cdfquantile DistributionsqrLogLik
Probability Weighted L-moment Skewness and KurtosisqrPwlm
Starting Value Generation for CDF quantile RegressionsqrStart
Register method for cdfqr object functionsresiduals.cdfqr
Transform Values into (0, 1) IntervalscaleTR
S3 Methods for getting output from fitted cdfqr Objects.coef.cdfqr confint.cdfqr confint.cdfqrFT confint.cdfqrH deviance.cdfqr formula.cdfqr logLik.cdfqrH nobs.cdfqr print.cdfqr summary.cdfqr update.cdfqr vcov.cdfqr
Patient Time Datayoon