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 = "aut", email =
"cicerorafael@gmail.com"))
This package provides some useful functions for
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.
Pedro Rafael Diniz Marinho [aut, cre], Cicero Rafael Barros
Dias [ctb]
Pedro Rafael Diniz-Marinho [aut, cre], Cicero Rafael
Barros-Dias [aut]

Adequacy of Probabilistic Models and General Purpose
Optimization
c(person(given = "Pedro Rafael", family = "Diniz Marinho",
role = c("aut", "cre"), email =
"pedro.rafael.marinho@gmail.com"), person(given = "Marcelo",
family = "Bourguignon", role = c("aut","ctb"), email =
"m.p.bourguignon@gmail.com"), person(given = "Cicero Rafael",
family = "Barros Dias", role = c("aut","ctb"), email =
"cicerorafael@gmail.com"))
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.

c(person("Dan", "Dediu", role = c("aut", "cre"),
email = "ddediu@gmail.com"),
person("Alexandra", "Dima", role = "aut",
email = "alexadima@gmail.com"))
Dan Dediu [aut, cre],
Alexandra Dima [aut]
Computation of adherence to medications from Electronic Health care
Data and visualization of individual medication histories and adherence
patterns. The package implements a set of S3 classes and
functions consistent with current adherence guidelines and definitions.
It allows the computation of different measures of
adherence (as defined in the literature, but also several original ones),
their publication-quality plotting,
the interactive exploration of patient medication history and
the real-time estimation of adherence given various parameter settings.
lubridate (>= 1.5), parallel (>= 3.0), data.table (>= 1.9),
manipulate (>= 1.0), snow (>= 0.4)