Collection of various algorithms implemented in R.
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Updated
Nov 26, 2024 - R
Collection of various algorithms implemented in R.
An R package for accessing elevation data
Useless R Functions. That's it
This R package connects the Salesforce APIs from R using tidy principles.
A simpler ggplot2 syntax, saving half of your typing.
Auto ML for the tidyverse
Explore your activity on YouTube with R: How to analyze and visualize your personal pata history. Find out how you consume YouTube using a copy of your personal data from Google Takeout.
Basic statistical modelling examples.
Infix Operators for Detection, Subsetting and Replacement
Create tidy probability/density tibbles and plots of randomly generated and empirical data.
A toolbox for writing Sweave or other LaTeX-based papers and reports and to prettify the output of various estimated models.
Learn R in simple and easy steps starting from basic to advanced concepts with examples. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.
using the Inverse-Transform method to speed up options pricing simulations in R
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
Stability Selection with Error Control
Análisis de texto y visualización de datos con R, de conversaciones de WhatsApp, primer parte. Uso de librería rwhatsapp.
Slides for #NICAR18 workshop on collecting and analyzing Twitter data
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