R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
hcci
View on CRAN: Click
here
Download and install hcci package within the R console
Install from CRAN:
install.packages("hcci")
Install from Github:
library("remotes")
install_github("cran/hcci")
Install by package version:
library("remotes")
install_version("hcci", "1.1.0")
Attach the package and use:
library("hcci")
Maintained by
Pedro Rafael Diniz Marinho
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-02-22
Latest Update: 2014-02-22
Description:
Calculates the interval estimates for the parameters of linear models with 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. The package can calculate consistent estimates of the covariance matrix of the parameters of linear regression models with heteroscedasticity of unknown form. The package also provides a function to consistently calculate the covariance matrix of the parameters of linear models with heteroscedasticity of unknown form. The bootstrap methods exported by the package are based on the master's thesis of the first author, available at . The hcci package in previous versions was cited in the book VINOD, Hrishikesh D. Hands-on Intermediate Econometrics Using R: Templates for Learning Quantitative Methods and R Software. 2022, p. 441, ISBN 978-981-125-617-2 (hardcover). The simple bootstrap schemes are based on the works of Cribari-Neto F and Lima M. G. (2009) , while the double bootstrap schemes for the parameters that index the linear models with heteroscedasticity of unknown form are based on the works of Beran (1987) . The use of bootstrap for the calculation of interval estimates in regression models with heteroscedasticity of unknown form from a weighting of the residuals was proposed by Wu (1986) . This bootstrap scheme is known as weighted or wild bootstrap.
How to cite:
Pedro Rafael Diniz Marinho (2014). hcci: Interval Estimation of Linear Models with Heteroskedasticity. R package version 1.1.0, https://cran.r-project.org/web/packages/hcci. Accessed 06 Jan. 2025.
Previous versions and publish date:
1.0.0 (2014-02-22 16:44)
Other packages that cited hcci R package
View hcci citation profile
Other R packages that hcci depends,
imports, suggests or enhances
Complete documentation for hcci
Functions, R codes and Examples using
the hcci R package
Some associated functions: HC . Pboot . Tboot . hcci-package . schools .
Some associated R codes: HC.R . Pboot.R . QT.R . Tboot.R . Full hcci package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
lmds
A fast dimensionality reduction method scaleable to large numbers of samples.
Landmark Multi-Dime ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Robrecht Cannoodt (view profile)
RsqMed
An implementation of calculating the R-squared measure as a total mediation effect size measure and ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Tianzhong Yang (view profile)
TBFmultinomial
Extends the test-based Bayes factor (TBF) methodology to multinomial regression models and discrete ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Rachel Heyard (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
NetSwan
A set of functions for studying network robustness, resilience and vulnerability. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Serge Lhomme (view profile)
ROI.plugin.deoptim
Enhances the R Optimization Infrastructure ('ROI') package
with the 'DEoptim' and 'DEoptimR' packag ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Florian Schwendinger (view profile)