Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 46 packages in 0.01 seconds

latex2exp — by Stefano Meschiari, 3 months ago

Use LaTeX Expressions in Plots

Parses and converts LaTeX math formulas to R's plotmath expressions, used to enter mathematical formulas and symbols to be rendered as text, axis labels, etc. throughout R's plotting system.

cem — by Stefano M. Iacus, a year ago

Coarsened Exact Matching

Implementation of the Coarsened Exact Matching algorithm discussed along with its properties in Iacus, King, Porro (2011) ; Iacus, King, Porro (2012) and Iacus, King, Porro (2019) .

sde — by Stefano Maria Iacus, 6 years ago

Simulation and Inference for Stochastic Differential Equations

Companion package to the book Simulation and Inference for Stochastic Differential Equations With R Examples, ISBN 978-0-387-75838-1, Springer, NY.

nopp — by Stefano M. Iacus, 5 years ago

Nash Optimal Party Positions

Estimation of party/candidate ideological positions that correspond to a Nash equilibrium along a one-dimensional space.

rticulate — by Stefano Coretta, a year ago

Ultrasound Tongue Imaging in R

It provides functions for processing Articulate Assistant Advanced™ (AAA) export files and plot tongue contour data from any system.

Rcmdr — by John Fox, 4 months ago

R Commander

A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.

massiveGST — by Stefano Maria Pagnotta, 2 months ago

Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test

Friendly implementation of the Mann-Whitney-Wilcoxon test for competitive gene set enrichment analysis.

yaConsensus — by Stefano Maria Pagnotta, a year ago

Consensus Clustering of Omic Data

Procedures to perform consensus clustering starting from a dissimilarity matrix or a data matrix. It's allowed to select if the subsampling has to be by samples or features. In case of computational heavy load, the procedures can run in parallel.

orcutt — by Stefano Spada, 4 years ago

Estimate Procedure in Case of First Order Autocorrelation

Solve first order autocorrelation problems using an iterative method. This procedure estimates both autocorrelation and beta coefficients recursively until we reach the convergence (8th decimal as default). The residuals are computed after estimating Beta using EGLS approach and Rho is estimated using the previous residuals.

labstatR — by Stefano M.Iacus, 2 years ago

Libreria Del Laboratorio Di Statistica Con R

Insieme di funzioni di supporto al volume "Laboratorio di Statistica con R", Iacus-Masarotto, MacGraw-Hill Italia, 2006. This package contains sets of functions defined in "Laboratorio di Statistica con R", Iacus-Masarotto, MacGraw-Hill Italia, 2006. Function names and docs are in italian as well.