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.

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.

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) .

Nash Optimal Party Positions

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

Ultrasound Tongue Imaging in R

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

R Commander

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

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.

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.

A Wrapper for the Phonetic Software 'Praat'

It allows running 'Praat' scripts from R and it provides some wrappers for basic plotting. It also adds support for literate markdown tangling. The package is designed to bring reproducible phonetic research into R.

Spatial KWD for Large Spatial Maps

Contains efficient implementations of Discrete Optimal Transport algorithms for the computation of Kantorovich-Wasserstein distances between pairs of large spatial maps (Bassetti, Gualandi, Veneroni (2020), ). All the algorithms are based on an ad-hoc implementation of the Network Simplex algorithm. The package has three main helper functions: "compareOneToOne" (to compare two spatial maps), "compareOneToMany" (to compare a reference maps with a list of other maps), and "compareAll" (to compute a matrix of distances between a list of maps). In case of non-convex maps, the helper functions first build the convex-hull of the input bins and pads the weights with zeros.