Found 38 packages in 0.01 seconds
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.
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.
Nash Optimal Party Positions
Estimation of party/candidate ideological positions that correspond to a Nash equilibrium along a one-dimensional space.
A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Tidy Model Visualisation for Generalised Additive Models
Provides functions for visualising generalised additive models and getting predicted values using tidy tools from the 'tidyverse' packages.
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.
The YUIMA Project Package for SDEs
Simulation and Inference for SDEs and Other Stochastic Processes.
A Tidy Implementation of Heatmap
This is a tidy implementation for heatmap. At the moment it is based on the (great) package 'ComplexHeatmap'. The goal of this package is to interface a tidy data frame with this powerful tool. Some of the advantages are: Row and/or columns colour annotations are easy to integrate just specifying one parameter (column names). Custom grouping of rows is easy to specify providing a grouped tbl. For example: df %>% group_by(...). Labels size adjusted by row and column total number. Default use of Brewer and Viridis palettes.