Regularized (polychotomous) logistic regression by Gibbs sampling. The package implements subtly different MCMC schemes with varying efficiency depending on the data type (binary v. binomial, say) and the desired estimator (regularized maximum likelihood, or Bayesian maximum a posteriori/posterior mean, etc.) through a unified interface. For details, see Gramacy & Polson (2012 <doi:10.1214/12-BA719>).

Inference for the treatment effect with possibly invalid instrumental variables via TSHT('Guo et al. (2016) <arXiv:1603.05224>) and SearchingSampling('Guo (2021) <arXiv:2104.06911>), which are effective for both low- and high-dimensional covariates and instrumental variables; test of endogeneity in high dimensions ('Guo et al. (2016) <arXiv:1609.06713>).

This package provides functions for implementing robust methods for functional linear regression. In the functional linear regression, we consider scalar-on-function linear regression and function-on-function linear regression. More details, see Beyaztas, U., and Shang, H. L. (2021) <arXiv:2111.01238> and Beyaztas, U., and Shang, H. L. (2022) <arXiv:2203.05065>.

The gem5 simulator is a modular platform for computer-system architecture research, encompassing system-level architecture as well as processor microarchitecture.

This package provides Pure Rust implementation of Public-Key Cryptography Standards (PKCS) #1: RSA Cryptography Specifications Version 2.2 (RFC 8017).

The xlsxjars package collects all the external jars required for the xlxs package. This release corresponds to POI 3.10.1.

Plots the coefficients from model objects. This very quickly shows the user the point estimates and confidence intervals for fitted models.

Publicly available COVID-19 data for Norway cleaned and merged into one dataset, including PCR confirmed cases, tests, hospitalisation and vaccination.

Use machine learning algorithms and advanced geographic information system tools to build Species Distribution Modeling in a extensible and modern fashion.

Edit and validate taxonomic data in compliance with Darwin Core standards (Darwin Core Taxon class <https://dwc.tdwg.org/terms/#taxon>).

Perform data quality assessment ('DQA') of electronic health records ('EHR'). Publication: Kapsner et al. (2021) <doi:10.1055/s-0041-1733847>.

We facilitate the analysis of full factorial mating designs with mixed-effects models. The package contains six vignettes containing detailed examples.

This package provides tools to study lineages, grandparenthood, loss of close relatives, kinship networks and other topics in multi-generation populations.

This package provides methods for matrix factorization based on Wang and Stephens (2021) <https://jmlr.org/papers/v22/20-589.html>.

For including external figures into an assembled patchwork. This enables the creation of more complex figures that include images alongside plots.

Add glossaries to markdown and quarto documents by tagging individual words. Definitions can be provided inline or in a separate file.

Inference on stochastic differential models Ornstein-Uhlenbeck or Cox-Ingersoll-Ross, with one or two random effects in the drift function.

This package provides a simple way to memoize function results to improve performance by eliminating unnecessary computation or data retrieval activities.

This package provides a set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.

Serves data from the United States Environmental Protection Agency (USEPA) National Eutrophication Survey <https://www.epa.gov/national-aquatic-resource-surveys>.

This package provides functions to assist in diagnostics and plotting during the causal inference modeling process. Supplements the bartCause package.

This package implements univariate polynomial operations in R, including polynomial arithmetic, finding zeros, plotting, and some operations on lists of polynomials.

Quickly fits and plots psychometric functions (normal, logistic, Weibull or any or any function defined by the user) for multiple groups.

Access statistical information on welfare and health in Finland from the Sotkanet open data portal <https://sotkanet.fi/sotkanet/fi/index>.