This package provides an interface to lm.wfit for fitting dynamic linear models and time series regression relationships.

This package integrates sophisticated mixed modelling methods with a whole genome approach to detecting significant QTL in linkage maps.

Rove is a unit testing framework for Common Lisp applications. This is intended to be a successor of Prove.

Provide simple utilities for querying bhklab PharmacoDB, modeling API outputs, and integrating to cell and compound ontologies.

Small package to clean the R console and the R environment with the call of just one function.

Implementation of the Wilkinson and Ivany (2002) approach to paleoclimate analysis, applied to isotope data extracted from clams.

This package provides a toolkit for parsing dice notation, analyzing rolls, calculating success probabilities, and plotting outcome distributions.

Efficient covariate-adjusted estimators of quantities that are useful for establishing the effects of treatments on ordinal outcomes.

This is the companion package to the Data Visualization Geometries Encyclopedia, providing seamless access to the associated data.

Parse, format, and validate international phone numbers using Google's libphonenumber java library, <https://github.com/google/libphonenumber>.

This package provides a collection of nice plotting functions directly from a data.frame with limited customisation possibilities.

Estimate a FAVAR model by a Bayesian method, based on Bernanke et al. (2005) <DOI:10.1162/0033553053327452>.

The aim of this package is to offer more variability of graphics based on the self-organizing maps.

This package provides a wrapper around a CSS library called Hover.css', intended for use in shiny applications.

This package contains a number of infix binary operators that may be useful in day to day practices.

Using embedded sdmx queries, get the data of more than 150 000 insee series from bdm macroeconomic database.

Estimates kriging models for geographical point-referenced data. Method is described in Gill (2020) <doi:10.1177/1532440020930197>.

This package provides tools for univariate and multivariate generalized linear models with model averaging and null model technique.

This package implements likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance.

This package provides an Interface to Open Collaboration Services OCS (<https://www.open-collaboration-services.org/>) REST API.

Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.

Implementation of the structural model for variances in order to detect differentially expressed genes from gene expression data.

This package provides a traceability focused tool created to simplify the data manipulation necessary to create clinical summaries.

Use various regression models for the analysis of win loss endpoints adjusting for non-binary and multivariate covariates.