This package provides a tool to operate a batch of univariate or multivariate Cox models and return tidy result.

Test function arguments with a wide array of inputs, and produce reports summarizing messages, warnings, errors, and returned values.

FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.

This package contains a suite of shiny applications meant to explore linear model inference feature through simulation and games.

Read and write access to PNG image files using the LodePNG library. The package has no external dependencies.

This package provides a utility to facilitate the logging and review of R programs in clinical trial programming workflows.

Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).

Permutation tests for variance components for 2-level, 3-level and 4-level data with univariate or multivariate responses.

Data sets and sample analyses from Pinheiro and Bates, "Mixed-effects Models in S and S-PLUS" (Springer, 2000).

Facilitates building a nesting or hierarchical structure as a list or data frame by using a human friendly syntax.

An application for the empirical extrapolation of time features selecting and summarizing the most relevant patterns in time sequences.

Customise Shiny disconnected screens as well as sanitize error messages to make them clearer and friendlier to the user.

This package implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.

This package provides methods and tools for generating forecasts at different temporal frequencies using a hierarchical time series approach.

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>.

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>.

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>.

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.

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

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

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

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