Multidimensional unfolding using Schoenemann's algorithm for metric and Procrustes rotation of unfolding results.
This package provides functions to run fixed effects or random effects multivariate meta-analysis.
Each dataset contains scores for every game during a specific season of the NHL.
Read R package news files, regardless of whether or not the package is installed.
Manipulation and analysis of phylogenetically simulated data sets and phylogenetically based analyses using GLS.
Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.
Interactive shiny application for working with textmining and text analytics. Various visualizations are provided.
This package performs 20 omnibus tests for testing the composite hypothesis of variance homogeneity.
Rust is a systems programming language that provides memory safety and thread safety guarantees.
This package provides 3D plotting routines that facilitate the use of the rgl package and extend its functionality. For example, the routines allow the user to directly control the camera position & orientation, as well as to generate 3D movies with a moving observer.
This package provides functionality to prepare data and analyze plausibility of both forecasted and reported epidemiological signals. The functions implement a set of plausibility algorithms that are agnostic to geographic and time resolutions and are calculated independently then presented as a combined score.
Import Data from Relational Database Management Systems (RDBMS) and Health Information Systems ('HIS'). The current version of the package supports importing data from RDBMS including MS SQL', MySQL', PostGRESQL', and SQLite', as well as from two HIS platforms: DHIS2 and SORMAS'.
This package provides an interface to the NetCDF file formats designed by Unidata for efficient storage of array-oriented scientific data and descriptions. Most capabilities of NetCDF version 4 are supported. Optional conversions of time units are enabled by UDUNITS version 2, also from Unidata.
Create an R Journal Rmarkdown template article, that will generate html and pdf versions of your paper. Check that the paper folder has all the required components needed for submission. Examples of R Journal publications can be found at <https://journal.r-project.org>.
Display a randomly selected quote about Richard M. Stallman based on the collection in the GNU Octave function fact() which was aggregated by Jordi Gutiérrez Hermoso based on the (now defunct) site stallmanfacts.com (which is accessible only via <http://archive.org>).
R access to the Sequential Monte Carlo Template Classes by Johansen <doi:10.18637/jss.v030.i06> is provided. At present, four additional examples have been added, and the first example from the JSS paper has been extended. Further integration and extensions are planned.
This package contains tools for working with and analyzing hospital readmissions data. The package provides utilities for components of the Hospital Readmissions Reduction Program (HRRP), including program timeline functions, Hospital-Specific Report (HSR) helpers, and general importing tools for the Provider Data Catalog (PDC).
Configuration management using files (YAML, JSON, INI, TXT), JSON strings, and command line arguments. Command line arguments can be used to override configuration. Period-separated command line flags are parsed as hierarchical lists. Environment variables, R global variables, and configuration values can be substituted.
This package provides an implementation of a data cube extracted out of dplyr for backward compatibility.
This package provides regression models for grouped and coarse data, under the coarsened at random assumption.
This package provides easy-to-use and versatile functions to output R objects in HTML format.
Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.
automap performs an automatic interpolation by automatically estimating the variogram and then calling gstat.
This is a package for slanted matrices and ordered clustering for better visualization of similarity data.