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cdfquantreg (version 1.3.1-2)

Quantile Regression for Random Variables on the Unit Interval

Description

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.

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Version

Install

install.packages('cdfquantreg')

Monthly Downloads

415

Version

1.3.1-2

License

GPL-3

Maintainer

Last Published

September 3rd, 2023

Functions in cdfquantreg (1.3.1-2)

cdfquantreg-package

Quantile Regression for Random Variables on the Unit Interval

CDF-Quantile Probability Distributions

Give the Gradient Function for CDF-Quantile Distribution Models

CDF-Quantile Finite Tailed Probability Distributions

Zero/One inflated CDF-Quantile Probability Distributions

The Family of Distributions

influence.cdfqr

Influence Diagnosis For Fitted Cdfqr Object

Bootstrapping for cdf quantile regression

Log Likelihood for Fitting Cdfquantile Distributions

Plot Fitted Values/Residuals of A Cdfqr Object or Distribution

residuals.cdfqr

Register method for cdfqr object functions

Starting Value Generation for CDF quantile Regressions

Censored CDF-Quantile Probability Distributions

The Family of Finite-Tailed Distributions

Probability Weighted L-moment Skewness and Kurtosis

S3 Methods for getting output from fitted cdfqr Objects.

Control Optimization Parameters for CDF-Quantile Probability Distributions

Transform Values into (0, 1) Interval

Patient Time Data

Methods for Cdfqr Objects

Ambiguity-Conflict data

Likelihood Functions for Generating OpenBUGS Model File

Model comparison test for fitted cdfqr models

Generating OpenBUGS Model File

Overview of the family of distributions

IPCC data-set - Australian data

IPCC data-set - Wide format

Extinction Study data-set

Stress-Anxiety data