Title: Power Logit Regression for Modeling Bounded Data
person("Felipe", "Queiroz", email = "ffelipeq@outlook.com", role = c("aut", "cre")),
person("Silvia", "Ferrari", email = "silviaferrari@usp.br", role = "aut"))
Description: Fitting power logit regression models for bounded
continuous data, in which the density generator may be normal, Student-t,
power exponential, slash, hyperbolic, sinh-normal, or type II logistic.
Diagnostic tools associated with the fitted model, such as the residuals,
local influence measures, leverage measures, and goodness-of-fit statistics,
are implemented. The estimation process follows the maximum likelihood approach
and, currently, the package supports two types of estimators: the usual maximum
likelihood estimator and the penalized maximum likelihood estimator. More details
about power logit regression models are described in
Queiroz and Ferrari (2022) <arXiv:2202.01697>.
Imports: BBmisc, EnvStats, Formula, gamlss.dist, GeneralizedHyperbolic,

Author: Daniela Witten and Rob Tibshirani
Description: Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in the following paper: Witten, Tibshirani and Hastie (2009) A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis.
Packaged: Fri Feb 13 14:57:56 2009; dwitten

Author: Daniela Witten and Rob Tibshirani and Sam Gross and
Description: Performs Penalized Multivariate Analysis: a penalized
matrix decomposition, sparse principal components analysis, and
sparse canonical correlation analysis, described in the
following papers: (1) Witten, Tibshirani and Hastie (2009) A
penalized matrix decomposition, with applications to sparse
principal components and canonical correlation analysis.
Biostatistics 10(3):515-534. (2) Witten and Tibshirani (2009)
Extensions of sparse canonical correlation analysis, with
applications to genomic data. Statistical Applications in
Genetics and Molecular Biology 8(1): Article 28.
X-CRAN-Comment: Orphaned and corrected on 2018-04-20 as check problems
were not corrected despite multiple notifications.
Including C++ misuse of = for == and non-registration of S3 methods.