R Object Oriented Programming for Statistical Distribution

Statistical distribution in OOP (Object Oriented Programming) way. This package proposes a R6 class interface to classic statistical distribution, and new distributions can be easily added with the class AbstractDist. A useful point is the generic fit() method for each class, which uses a maximum likelihood estimation to find the parameters of a dataset, see, e.g. Hastie, T. and al (2009) . Furthermore, the rv_histogram class gives a non-parametric fit, with the same accessors that for the classic distribution. Finally, three random generators useful to build synthetic data are given: a multivariate normal generator, an orthogonal matrix generator, and a symmetric positive definite matrix generator, see Mezzadri, F. (2007) .

Plot Functions for Use in Bibliometrics

Currently, the package provides several functions for plotting and analyzing bibliometric data (JIF, Journal Impact Factor, and paper percentile values), beamplots with citations and percentiles, and three plot functions to visualize the result of a reference publication year spectroscopy (RPYS) analysis performed in the free software 'CRExplorer' (see < http://crexplorer.net>). Further extension to more plot variants is planned.

Discrete Multivariate Probability Distributions

Provides an object class for dealing with many multivariate probability distributions at once, useful for simulation.

Datasets for "Statistics: UnLocking the Power of Data"

Datasets for the fourth edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes versions of datasets from earlier editions.

Sumerian Cuneiform Text Analysis

Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, analyzing the structure of Sumerian words, and creating translations. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).

Translation of Base R-Like Functions for 'data.table' Objects

Some heavily used base R functions are reconstructed to also be compliant to data.table objects. Also, some general helper functions that could be of interest for working with data.table objects are included.

Clear and Condense Argument Check for User-Defined Functions

A concise check of the format of one or multiple input arguments (data type, length or value) is provided. Since multiple input arguments can be tested simultaneously, a lengthly list of checks at the beginning of your function can be avoided, hereby enhancing the readability and maintainability of your code.

Main Effects and Interactions in Mixed and Incomplete Data

Generalized low-rank models for mixed and incomplete data frames. The main function may be used for dimensionality reduction of imputation of numeric, binary and count data (simultaneously). Main effects such as column means, group effects, or effects of row-column side information (e.g. user/item attributes in recommendation system) may also be modelled in addition to the low-rank model. Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines, Robert Tibshirani (2018) .

API Wrapper Around 'Postcodes.io'

Free UK geocoding using data from Office for National Statistics. It is using several functions to get information about post codes, outward codes, reverse geocoding, nearest post codes/outward codes, validation, or randomly generate a post code. API wrapper around < https://postcodes.io>.

Multivariate Polynomials with Rational Coefficients

Symbolic calculation and evaluation of multivariate polynomials with rational coefficients. This package is strongly inspired by the 'spray' package. It provides a function to compute Gröbner bases (reference ). It also includes some features for symmetric polynomials, such as the Hall inner product. The header file of the C++ code can be used by other packages. It provides the templated class 'Qspray' that can be used to represent and to deal with multivariate polynomials with another type of coefficients.