This package provides a RESTful API wrapper for accessing the GENESIS database of the German Federal Statistical Office (Destatis) as well as its Census Database and the database of Germany's regional statistics. Supports data search functions, credential management, result caching, and handling remote background jobs for large datasets.

Interface to use and access Wilensky's NetLogo (Wilensky 1999) from R using either headless (no GUI) or interactive GUI mode. Provides functions to load models, execute commands, and get values from reporters. Mostly analogous to the NetLogo Mathematica Link <https://github.com/NetLogo/Mathematica-Link>.

Discretize AR(1) process following Tauchen (1986) <http://www.sciencedirect.com/science/article/pii/0165176586901680>. A discrete Markov chain that approximates in the sense of weak convergence a continuous-valued univariate Autoregressive process of first order is generated. It is a popular method used in economics and in finance.

This package provides tools for alignment, quantification and analysis of second and third generation sequencing data. It includes functionality for read mapping, read counting, SNP calling, structural variant detection and gene fusion discovery. It can be applied to all major sequencing techologies and to both short and long sequence reads.

This package provides an R interface to the Spectra library for large-scale eigenvalue and SVD problems. It is typically used to compute a few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually more efficient than eigen() if k << n.

This package provides a solver for ompr based on the R Optimization Infrastructure ('ROI'). The package makes all solvers in ROI available to solve ompr models. Please see the ompr website <https://dirkschumacher.github.io/ompr/> and package docs for more information and examples on how to use it.

Super lightweight CI environment checker. Just tells you if you're in CI or not without much fuss.

This package provides delog an implementation and extension of Rust's standard logging facade for deferred logging.

Estimate age-depth models from stratigraphic and sedimentological data, and transform data between the time and stratigraphic domain.

This package provides functions to scrape IQY calls to Bank of Mexico, downloading and ordering the data conveniently.

This is a simple R package that allows to measure the stated preferences using traditional conjoint analysis method.

Perform a correlational class analysis of the data, resulting in a partition of the data into separate modules.

Simulates and computes (maximum) likelihood of a dynamical model of community assembly that takes into account phylogenetic history.

Computes the first stage GMM estimate of a dynamic linear model with p lags of the dependent variables.

Estimation, validation and prediction of models of different types : linear models, additive models, MARS,PolyMARS and Kriging.

This package provides data transformations, estimation utilities, predictive evaluation measures and simulation functions for discrete time survival analysis.

View 2D/3D sections, contour plots, mesh of excursion sets for computer experiments designs, surrogates or test functions.

Exchange rate regression and structural change tools for estimating, testing, dating, and monitoring (de facto) exchange rate regimes.

Convenient functions to create ggplot2 graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).

Calculates event rates and compares means and variances of groups of interval data corrected for missed arrival observations.

This package provides histograms, boxplots and dotplots as alternatives to scatterplots of data when plotting fitted logistic regressions.

Read a table of fixed width formatted data of different types into a data.frame for each type.

Clustering unilayer and multilayer network data by means of finite mixtures is the main utility of netClust'.

Similarity measures for hierarchical clustering of objects characterized by nominal (categorical) variables. Evaluation criteria for nominal data clustering.