Tools for Statistical Disclosure Control in Research Data Centers

Tools for researchers to explicitly show that their results comply to rules for statistical disclosure control imposed by research data centers. These tools help in checking descriptive statistics and models and in calculating extreme values that are not individual data. Also included is a simple function to create log files. The methods used here are described in the "Guidelines for the checking of output based on microdata research" by Bond, Brandt, and de Wolf (2015) < https://ec.europa.eu/eurostat/cros/system/files/dwb_standalone-document_output-checking-guidelines.pdf>.

Object Oriented Implementation of Probability Models

Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.

Extrapolate Gender, Age and Nationality of a Name

Connects to the < https://genderize.io/>, < https://agify.io/> and < https://nationalize.io/> APIs to estimate gender, age and nationality of a first name.

JIRA REST API Wrapper for R

Allows to interact with the 'JIRA SERVER REST API' to analyze the retrieved data in R. For further information about the API visit < https://docs.atlassian.com/software/jira/docs/api/REST/8.9.1/>.

Query 'SWI'-'Prolog' from R

This R package connects to SWI-Prolog, < https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).

Trajectory Miner: a Sequence Analysis Toolkit

Set of sequence analysis tools for manipulating, describing and rendering categorical sequences, and more generally mining sequence data in the field of social sciences. Although this sequence analysis package is primarily intended for state or event sequences that describe time use or life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and functions for extracting the most frequent event subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.

Draw Samples of Truncated Multivariate Normal Distributions

Use the sequential nearest neighbor (SNN) method introduced in Jian Cao and Matthias Katzfuss (2024) to draw samples from the truncated multivariate normal (TMVN) distributions.

Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'

Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be rendered in 'R Markdown' documents and shiny apps. This package depends on R package 'rolog', which requires an installation of the 'SWI-Prolog' runtime either from 'swi-prolog.org' or from R package 'rswipl'.

Accessing 'SimFin' Data

Through simfinapi, you can intuitively access the 'SimFin' Web-API (< https://www.simfin.com/>) to make 'SimFin' data easily available in R. To obtain an 'SimFin' API key (and thus to use this package), you need to register at < https://app.simfin.com/login>.

Greedy Set Cover

A fast implementation of the greedy algorithm for the set cover problem using 'Rcpp'.