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

Found 173 packages in 0.07 seconds

clifford — by Robin K. S. Hankin, 3 months ago

Arbitrary Dimensional Clifford Algebras

A suite of routines for Clifford algebras, using the 'Map' class of the Standard Template Library. Canonical reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra to geometric calculus"). Special cases including Lorentz transforms, quaternion multiplication, and Grassmann algebra, are discussed. Vignettes presenting conformal geometric algebra, quaternions and split quaternions, dual numbers, and Lorentz transforms are included. The package follows 'disordR' discipline.

vfunc — by Robin K. S. Hankin, 6 months ago

Manipulate Virtual Functions

If f <- function(x){x^2} and g <- function(x){x+1} it is a constant source of annoyance that "f+g" is not defined. Package 'vfunc' allows you to do this, and we have (f+g)(2) returning 5. The other arithmetic operators are similarly implemented. A wide class of coding bugs is eliminated.

leaflet.extras — by Sebastian Gatscha, a year ago

Extra Functionality for 'leaflet' Package

The 'leaflet' JavaScript library provides many plugins some of which are available in the core 'leaflet' package, but there are many more. It is not possible to support them all in the core 'leaflet' package. This package serves as an add-on to the 'leaflet' package by providing extra functionality via 'leaflet' plugins.

SportsTour — by Ankit Tanwar, 5 years ago

Display Tournament Fixtures using Knock Out and Round Robin Techniques

Use of Knock Out and Round Robin Techniques in preparing tournament fixtures as discussed in the Book Health and Physical Education by 'Dr. V K Sharma'(2018,ISBN:978-93-5272-134-4).

echarts4r — by David Munoz Tord, 5 months ago

Create Interactive Graphs with 'Echarts JavaScript' Version 5

Easily create interactive charts by leveraging the 'Echarts Javascript' library which includes 36 chart types, themes, 'Shiny' proxies and animations.

FASeg — by Emilie Lebarbier, 8 years ago

Joint Segmentation of Correlated Time Series

It contains a function designed to the joint segmentation in the mean of several correlated series. The method is described in the paper X. Collilieux, E. Lebarbier and S. Robin. A factor model approach for the joint segmentation with between-series correlation (2015) .

Davies — by Robin K. S. Hankin, 9 months ago

The Davies Quantile Function

Various utilities for the Davies distribution.

causaldata — by Nick Huntington-Klein, a year ago

Example Data Sets for Causal Inference Textbooks

Example data sets to run the example problems from causal inference textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021 and 2025) "The Effect" < https://theeffectbook.net>, first and second edition, Cunningham, Scott (2021 and 2025, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape", and HernĂ¡n, Miguel and James Robins (2020) "Causal Inference: What If" < https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.

ConConPiWiFun — by Robin Girard, 5 years ago

Optimisation with Continuous Convex Piecewise (Linear and Quadratic) Functions

Continuous convex piecewise linear (ccpl) resp. quadratic (ccpq) functions can be implemented with sorted breakpoints and slopes. This includes functions that are ccpl (resp. ccpq) on a convex set (i.e. an interval or a point) and infinite out of the domain. These functions can be very useful for a large class of optimisation problems. Efficient manipulation (such as log(N) insertion) of such data structure is obtained with map standard template library of C++ (that hides balanced trees). This package is a wrapper on such a class based on Rcpp modules.

VHDClassification — by Robin Girard, 12 years ago

Discrimination/Classification in very high dimension with linear and quadratic rules.

This package provides an implementation of Linear discriminant analysis and quadratic discriminant analysis that works fine in very high dimension (when there are many more variables than observations).