Author: Pedro Rafael Diniz Marinho [aut, cre], Cicero Rafael Barros Dias [aut, ctb]

that follow the following probability distributions: Exponentiated Weibull and Kumaraswamy Weibull.

person(given = "Marcelo", family = "Bourguignon", role =
Description: This package provides some useful functions for calculating quality
adjustment, including statistics Kolmogorov-Smirnov, 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, BIC and HQIC. The package also provides functions for generating
pseudo-random number of random variables that follow the following probability distributions: Kumaraswamy Birnbaum-Saunders, Kumaraswamy Pareto, Exponentiated Weibull
Author: Pedro Rafael Diniz Marinho [aut, cre], Marcelo Bourguignon [aut, ctb], Cicero Rafael Barros Dias [aut, ctb]

Authors@R: c(person(given = "Pedro Rafael", family = "Diniz-Marinho",
Rafael", family = "Barros-Dias", role = "aut", email =
calculating measures of goodness of fit, including statistics
Cramer-von Mises and Anderson-Darling.  These statistics are
often used to compare models not fitted. You can also calculate
other medias goodness of fit as the AIC, CAIC and BIC.
Authors: Pedro Rafael Diniz Marinho [aut, cre], Cicero Rafael Barros
Author: Pedro Rafael Diniz-Marinho [aut, cre], Cicero Rafael

Title: Adequacy of Probabilistic Models and General Purpose
family = "Bourguignon", role = c("aut","ctb"), email =
"m.p.bourguignon@gmail.com"), person(given = "Cicero Rafael",
family = "Barros Dias", role = c("aut","ctb"), email =
Description: The main application concerns to a new robust optimization package with two major contributions. The first contribution refers to the assessment of the adequacy of probabilistic models through a combination of several statistics, which measure the relative quality of statistical models for a given data set. The second one provides a general purpose optimization method based on meta-heuristics functions for maximizing or minimizing an arbitrary objective function.
Packaged: 2016-05-19 18:32:35 UTC; pedrorafael