Ariel Duarte-López <aduarte@ac.upc.edu>, Aina Casellas <ainacasellas@hotmail.com>, Marta Pérez-Casany <marta.perez@upc.edu>
Statistical utilities for the analysis of data by means of the Marshall-Olkin Extended Zipf distribution are presented. The distribution is a two-parameter extension of the widely used Zipf model. By plotting the probabilities in log-log scale, this two-parameter extension allows a concave as well as a convex behavior of the function at the beginning of the distribution, maintaining the linearity, associated to the Zipf model, in the tail.

Statistical utilities for the analysis of data by means of the Marshall-Olkin Extended Zipf distribution. By plotting the probabilities in log-log scale, this two parameter distribution allows a concave as well as a convex behavior of the function at the beginning of the distribution, maintaining the linearity in the tail. The model contains the Zipf model as a particular case.

Multiobjective Genetic Algorithm for Variable Selection in
Regression
Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for datasets with large number of variables.
Tommi Pajala [aut, cre],
Pekka Malo [aut],
Ankur Sinha [aut],
Timo Kuosmanen [ctb]

Functions for exploring the best subsets in regression with a genetic algorithm. The package is much faster than methods relying on complete enumeration, and is suitable for data sets with large number of variables. For more information, see Sinha, Malo & Kuosmanen (2015) <doi:10.1080/10618600.2014.899236>.

A Serialization-Style Flattening and Description for JSON
Support JSON flattening in a long data frame way, where the nesting keys will be stored in the absolute path. It also
provides an easy way to summarize the basic description of a JSON list. The idea of 'mojson' is to transform a JSON object in an
absolute serialization way, which means the early key-value pairs will appear in the heading rows of the resultant data frame.
'mojson' also provides an alternative way of comparing two different JSON lists, returning the left/inner/right-join style results.
RJSONIO, magrittr, tidyr, iterators, stringr, compareDF