An implementation of a stochastic heuristic method for performing multidimensional function optimization. The method is inspired in the Cross-Entropy Method. It does not relies on derivatives, neither imposes particularly strong requirements into the function to be optimized. Additionally, it takes profit from multi-core processing to enable optimization of time-consuming functions.

This package provides functions to access, search and download spacetime earth observation data via SpatioTemporal Asset Catalog (STAC). This package supports the version 1.0.0 (and older) of the STAC specification (<https://github.com/radiantearth/stac-spec>). For further details see Simoes et al. (2021) <doi:10.1109/IGARSS47720.2021.9553518>.

Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a regional border smoothing method. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders. Methodology is described in Wagstaff and Bean (2023) <doi:10.32614/RJ-2023-004>.

We visualize the standard deviation of a data set as the radius of a cylinder whose volume equals the total volume of several cylinders made by revolving the empirical cumulative distribution function about the vertical line through the mean. For more details see Sarkar and Rashid (2016) <doi:10.1080/00031305.2016.1165734>.

This package contains various tools to estimate, analyze, and visualize Response Item Networks. ResIN dummy-codes ordered and qualitative response choices from (survey) data, calculates pairwise associations and maps the location of each item response as a node in a force-directed network. Please refer to <https://www.resinmethod.net/> for more details.

MuSiC is a deconvolution method that utilizes cross-subject scRNA-seq to estimate cell type proportions in bulk RNA-seq data.

This package provides extended data frames, with a special data frame column which contains two indexes, with potentially a nesting structure.

This package lets you import foreign statistical formats into R via the ReadStat C library.

This package provides an R interface to the libgit2 library, which is a pure C implementation of the Git core methods.

The objective of this package is to perform inference using an expressive statistical grammar that coheres with the Tidy design framework.

ReadOSM is a library to extract valid data from within an OpenStreetMap input file (in .osm or .osm.pbf format).

RE is a small, portable, lightweight, and quick, regular expression library for Common Lisp. It is a non-recursive, backtracing VM.

Retrieves code comment decorations for C++ languages of the form \\ [[xyz]]', which are used for automated wrapping of C++ functions.

This package provides a tool to draw samples from a Empirical Likelihood Bayesian posterior of parameters using Hamiltonian Monte Carlo.

This package contains data about emojis with relevant metadata, and functions to work with emojis when they are in strings.

This package provides a lightweight suite of functions for retrieving information about 5-digit or 2-digit US FIPS codes.

Generalized Order-Restricted Information Criterion (GORIC) value for a set of hypotheses in multivariate linear models and generalised linear models.

API wrapper to download statistical information from the Korean Statistical Information Service (KOSIS) <https://kosis.kr/openapi/index/index.jsp>.

Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.

Import data from Our World in Data', an organisation which publishes research and data on global economic and social issues.

Provision of a set of models and methods for use in the allocation and management of capital in financial portfolios.

This package implements the algorithm of Christensen (2024) <doi:10.1214/22-BA1353> for estimating marginal likelihoods via permutation counting.

Quantile correlation-sure independence screening (QC-SIS) and composite quantile correlation-sure independence screening (CQC-SIS) for ultrahigh-dimensional data.

This package implements snake in R as a programming example, see <https://en.wikipedia.org/wiki/Snake_(video_game_genre)>.