Fit Bayesian models with a focus on the spatial econometric models.

Fitting and inference functions for generalized linear models with constrained coefficients.

This package provides functions for completing and recalculating rankings and sorting.

Dominance analysis relative importance methods that are intended for predictive models.

Differential partial correlation identification with the ridge and the fusion penalties.

Edit vectors to fill missing values, based on the vector itself.

Feature subset selection algorithms modularized in search algorithms and measure utilities.

To calculate the relative risk (RR) for the generalized additive model.

Test the significance of coefficients in high dimensional generalized linear models.

Calculate various information criteria in literature for "lm" and "glm" objects.

Makes visually pleasing diagrams of knot projections using optimized Bezier curves.

This package provides S3 classes to represent low rank matrix decompositions.

Read, register and compare point sets from single molecule localization microscopy.

Data sets and scripts for Modeling Psychophysical Data in R (Springer).

This package provides functions for the stratigraphic analysis of phylogenetic trees.

Linear and logistic ridge regression functions. Additionally includes special functions for genome-wide single-nucleotide polymorphism (SNP) data. More details can be found in <doi: 10.1002/gepi.21750> and <doi: 10.1186/1471-2105-12-372>.

This package implements solutions to canonical models of Economics such as Monopoly Profit Maximization, Cournot's Duopoly, Solow (1956, <doi:10.2307/1884513>) growth model and Mankiw, Romer and Weil (1992, <doi:10.2307/2118477>) growth model.

Graphical visualization of the birds molt to facilitate the creation of molting graph for passerines having 9 (Rmolt(data,9)) or 10 primaries (Rmolt(data,10)), and also only for the 10 first primaries (Rmolt(data,"10_0")).

Minimal and lightweight configuration tool that provides basic support for YAML configuration files without requiring additional package dependencies. It offers a simple method for loading and parsing configuration settings, making it ideal for quick prototypes and lightweight projects.

This package provides functions for estimating sparse precision matrices using a random graphical model framework under an L0-style penalty. The method evaluates candidate theta values and returns both continuous and binary precision matrices representing inferred network structures.

This package provides miscellaneous functions for training and plotting classification and regression models.

This package produces a smooth estimate of the hazard function for censored data.

This package contains a systems biology markup language (SBML) interface to R.

Evaluates acute lymphoblastic leukemia maintenance therapy practice at patient and cohort level.