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
robustfa
View on CRAN: Click
here
Download and install robustfa package within the R console
Install from CRAN:
install.packages("robustfa")
Install from Github:
library("remotes")
install_github("cran/robustfa") Install by package version:
library("remotes")
install_version("robustfa", "1.2-0") Attach the package and use:
library("robustfa")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-03-12
Latest Update: 2025-09-03
Description:
Outliers virtually exist in any datasets of any application field.
To avoid the impact of outliers, we need to use robust estimators.
Classical estimators of multivariate mean and covariance matrix are
the sample mean and the sample covariance matrix. Outliers will
affect the sample mean and the sample covariance matrix, and thus
they will affect the classical factor analysis which depends on
the classical estimators (Pison, G., Rousseeuw, P.J., Filzmoser,
P. and Croux, C. (2003) ).
So it is necessary to use the robust estimators of the sample
mean and the sample covariance matrix. There are several robust
estimators in the literature: Minimum Covariance Determinant estimator,
Orthogonalized Gnanadesikan-Kettenring, Minimum Volume Ellipsoid,
M, S, and Stahel-Donoho.
The most direct way to make multivariate analysis more robust is to replace
the sample mean and the sample covariance matrix of the classical estimators
to robust estimators (Maronna, R.A., Martin, D. and Yohai, V. (2006)
) (Todorov, V. and Filzmoser, P. (2009)
), which is our choice of robust factor
analysis. We created an object oriented solution for robust factor
analysis based on new S4 classes.
How to cite:
Frederic Bertrand (2012). robustfa: Object Oriented Solution for Robust Factor Analysis. R package version 1.2-0, https://cran.r-project.org/web/packages/robustfa. Accessed 25 Aug. 2026.
Previous versions and publish date:
Other packages that cited robustfa R package
View robustfa citation profile
Other R packages that robustfa depends,
imports, suggests or enhances
Complete documentation for robustfa
Functions, R codes and Examples using
the robustfa R package
Some associated functions: Fa-class . FaClassic-class . FaClassic . FaCov-class . FaCov . FaRobust-class . SummaryFa-class . Ulogical-class . Unumeric-class . computeScores . compute_cov_cor . detail . factorScorePca . factorScorePfa . fsOrder . getCenter-methods . getEigenvalues-methods . getFa-methods . getLoadings-methods . getQuan-methods . getScores-methods . getSdev-methods . myFaPrint . myplotDD . plot-methods . predict-methods . print-methods . robustfa-package . stock611 . summary-methods .
Some associated R codes: AllClasses.R . AllGenerics.R . Fa.R . FaClassic.R . FaCov.R . factorScorePca.R . factorScorePfa.R . fsOrder.R . plot-utils.R . robustfa.R . utils.R . Full robustfa package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
missDiag
Implements the computation of discrepancy statistics summarizing differences between the density of ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Moritz Marbach (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
connectwidgets
A collection of helper functions and 'htmlwidgets' to help publishers
curate content collections on ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Brian Smith (view profile)
hwep
Inference concerning equilibrium and random mating in
autopolyploids. Methods are available to test ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Gerard (view profile)
commonsMath
'Java' JAR files for the Apache Commons Mathematics Library for use by users and other packages. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David B. Dahl (view profile)
28,332
R Packages
239,283
Dependencies
75,113
Author Associations
28,333
Publication Badges
