robustX, rrcov, matrixStats, quantreg, Hmisc

c(
person("Felipe", "Queiroz", email = "ffelipeq@outlook.com", role = c("aut", "cre")),
person("Yuri", "Maluf", email = "yurimaluf@gmail.com", role = c("aut")),
person("Silvia", "Ferrari", email = "silviaferrari@usp.br", role = "ctb"))
Felipe Queiroz [aut, cre],
Yuri Maluf [aut],
Silvia Ferrari [ctb]
Robust estimators for the beta regression, useful for modeling
bounded continuous data. Currently, four types of robust estimators are supported.
They depend on a tuning constant which may be fixed or selected by a
data-driven algorithm also implemented in the package. Diagnostic tools
associated with the fitted model, such as the residuals and goodness-of-fit
statistics, are implemented. Robust Wald-type tests are available. More details
about robust beta regression are described in Maluf et al. (2022) <arXiv:2209.11315>.
Rmpfr, rstudioapi, crayon, pracma, numDeriv, Formula,
robustbase, zoo, methods, graphics, BBmisc, MASS, miscTools,
Matrix

Collection of Robust Covariance and (Sparse) Precision Matrix
Estimators
c(person("Yunyi", "Shen", email = "yshen99@wisc.edu", role = c("aut", "cre"),comment = c(ORCID = "0000-0003-2779-6507")), person("David", "Simcha", role = "cph" ))
Collection of methods for robust covariance and (sparse) precision matrix estimation based on Loh and Tan (2018) <doi:10.1214/18-EJS1427>.
Yunyi Shen [aut, cre] (<https://orcid.org/0000-0003-2779-6507>),
David Simcha [cph]

An Object Oriented Framework for Robust Factor Analysis
An object oriented framework for robust factor analysis.
In the framework, new S4 classes "Fa", "FaClassic", "FaRobust",
"FaCov", "SummaryFa" are created.
grid, lattice, robustbase, pcaPP, mvtnorm

methods, robustbase, pcaPP, mvtnorm, rrcov
grid, lattice, cluster, mclust, MASS, ellipse

methods, robustbase, pcaPP, mvtnorm, rrcov, R (>= 2.15.0)

An Object Oriented Solution for Robust Factor Analysis
An object oriented solution for robust factor analysis. In the solution, new S4 classes "Fa", "FaClassic", "FaRobust", "FaCov", "SummaryFa" are created.