An R interface to estimate structured additive regression (STAR) models with 'BayesX'.

Multivariate optimal allocation for different domains in one and two stages stratified sample design. 'R2BEAT' extends the Neyman (1934) – Tschuprow (1923) allocation method to the case of several variables, adopting a generalization of the Bethel’s proposal (1989). 'R2BEAT' develops this methodology but, moreover, it allows to determine the sample allocation in the multivariate and multi-domains case of estimates for two-stage stratified samples. It also allows to perform both Primary Stage Units and Secondary Stage Units selection. This package requires the availability of 'ReGenesees', that can be installed from <https://github.com/DiegoZardetto/ReGenesees>.

Builds Camera Trap Data Packages ('Camtrap DP') from arbitrary spreadsheets in a schema-driven way: table structure, types, constraints and relations are read from the 'Frictionless' table schemas of the requested 'Camtrap DP' version, so any version and custom columns are handled automatically. Provides validation against the schemas and an optional bridge to the 'frictionless' 'Python' framework. The 'Camtrap DP' standard is described in Bubnicki et al. (2023) <doi:10.1002/rse2.374>.

Obtain information about countries around the globe. Information for names, states, languages, time, capitals, currency and many more. Data source are 'Wikipedia' <https://www.wikipedia.org>, 'TimeAndDate' <https://www.timeanddate.com> and 'CountryCode' <https://countrycode.org>.

Generic functions to analyze the distribution of two continuous
  variables: 'conf2d' to calculate a smooth empirical confidence region, and
  'freq2d' to calculate a frequency distribution.

Implements the pseudo-R2D2 prior for ordinal regression from the paper "Pseudo-R2D2 prior for high-dimensional ordinal regression" by Yanchenko (2025) <doi:10.1007/s11222-025-10667-x>. In particular, it provides code to evaluate the probability distribution function for the cut-points, compute the log-likelihood, calculate the hyper-parameters for the global variance parameter, find the distribution of McFadden's coefficient-of-determination, and fit the model in 'rstan'. Please cite the paper if you use these codes.