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hcci: Interval estimation for the parameters of linear models with heteroskedasticity (Wild Bootstrap)

See package website: https://prdm0.github.io/hcci/.

This package calculates the interval estimates for the parameters of linear models heteroscedastic regression using bootstrap - (Wild Bootstrap) and double bootstrap-t (Wild Bootstrap). It is also possible to calculate confidence intervals using the percentile bootstrap and percentile bootstrap double. It is possible to calculate consistent estimates of the covariance matrix of the parameters of linear regression models with heteroskedasticity of unknown form. The package also provides function to calculate consistently the covariance matrix of the parameters of linear models with heteroskedasticity of unknown form.

Installation

install.packages("hcci")

A package manual may be found at: https://cran.r-project.org/web/packages/hcci/hcci.pdf. The versions of the hcci package are separated by tags.

CRAN Project: https://CRAN.R-project.org/package=hcci.

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Version

Install

install.packages('hcci')

Monthly Downloads

360

Version

1.2.0

License

GPL (>= 3)

Issues

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Maintainer

Pedro Rafael Diniz Marinho

Last Published

January 21st, 2025

Functions in hcci (1.2.0)

Pboot

Percentile Bootstrap Confidence Interval (Wild Bootstrap) - Linear Models Heteroskedasticity
hcci-package

Interval Estimation of Linear Models with Heteroskedasticity
Tboot

Bootstrap-t Confidence Interval (Wild Bootstrap) - Linear Models Heteroskedasticity
schools

US Expenditures for Public Schools
HC

Covariance Matrix - (HC0, HC2, HC3, HC4 and HC5)
QT

Quasi-t test in linear regression models