Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre"), comment = c(ORCID = "0000-0001-9542-5543")),person("Onno", "Hansen-Goos",role=c("aut","rev")),person("Rabea", "Griese",role=c("ctr","ctb")),person("Catharina", "Lippmann",role=c("ctr")),person("Florian", "Lerch",role=c("ctb","rev")),person("Jorn", "Lotsch",role=c("dtc","rev","fnd","ctb")),person("Alfred", "Ultsch",role=c("aut","cph","ths")))
Imports: Rcpp, shiny, pracma, methods, DataVisualizations

Packaged: 2019-01-31 14:07:49 UTC; florianlerch

Author: Kristen Zygmunt, Eleanor Wong, Tom Fletcher
Description: Implements Figueiredo EM algorithm for adaptive sparsity (Jeffreys prior) (see Figueiredo, M.A.T.; , "Adaptive sparseness for supervised learning," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.25, no.9, pp. 1150- 1159, Sept. 2003) and Wong algorithm for adaptively sparse gaussian geometric models (see Wong, Eleanor, Suyash Awate, and P. Thomas Fletcher. "Adaptive Sparsity in Gaussian Graphical Models." In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pp. 311-319. 2013.)
Depends: Rcpp (>= 0.8.0), RcppArmadillo (>= 0.2.0)

LinkingTo: Rcpp, RcppArmadillo (>= 0.2.0)

LinkingTo: Rcpp (>= 0.12.13), RcppArmadillo (>= 0.2.0)

Authors@R: c(person(given = "Pedro Rafael", family = "Diniz Marinho",
role = c("aut", "cre"), email = "pedro.rafael.mari
nho@gmail.com"), person(given = "Cicero Rafael", family =
"Barros Dias", role = c("aut","ctb"), email =
Maintainer: Pedro Rafael Diniz Marinho <pedro.rafael.marinho@gmail.com>
Description: This package provides some useful functions for
calculating quality measures for adjustment, including
statistics Cramer-von Mises and Anderson-Darling. These
statistics are often used to compare models not equipped. Also
provided is compared to other methods of adjustment between
bundade probabilistic models fitted.  These functions are, AIC,
Author: Pedro Rafael Diniz Marinho [aut, cre], Cicero Rafael Barros

Title: Adequacy of probabilistic models and generation of pseudo-random
Authors@R: c(person(given = "Pedro Rafael", family = "Diniz Marinho", role =
c("aut", "cre"), email = "pedro.rafael.marinho@gmail.com"),
person(given = "Cicero Rafael", family = "Barros Dias", role =
Author: Author: Pedro Rafael Diniz Marinho [aut, cre], Cicero Rafael Barros Dias [aut, ctb]
Description: This package provides some useful functions for calculating quality measures for adjustment,
including statistics Cramer-von Mises and Anderson-Darling. These statistics are often used
to compare models not equipped. Also provided are other measures of fitness, such as AIC, CAIC
and BIC. The package also provides functions for generating pseudo-random number of random variables
that follow the following probability distributions: Exponentiated Weibull, Kumaraswamy Weibull,