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

Found 135 packages in 0.13 seconds

BMA — by Hana Sevcikova, 4 months ago

Bayesian Model Averaging

Package for Bayesian model averaging and variable selection for linear models, generalized linear models and survival models (cox regression).

roxut — by Bryan A. Hanson, 4 years ago

Document Unit Tests Roxygen-Style

Much as 'roxygen2' allows one to document functions in the same file as the function itself, 'roxut' allows one to write the unit tests in the same file as the function. Once processed, the unit tests are moved to the appropriate directory. Currently supports 'testthat' and 'tinytest' frameworks. The 'roxygen2' package provides much of the infrastructure.

onbrand — by John Harrold, 7 months ago

Templated Reporting Workflows in Word and PowerPoint

Automated reporting in Word and PowerPoint can require customization for each organizational template. This package works around this by adding standard reporting functions and an abstraction layer to facilitate automated reporting workflows that can be replicated across different organizational templates.

rassta — by Bryan A. Fuentes, 8 months ago

Raster-Based Spatial Stratification Algorithms

Algorithms for the spatial stratification of landscapes, sampling and modeling of spatially-varying phenomena. These algorithms offer a simple framework for the stratification of geographic space based on raster layers representing landscape factors and/or factor scales. The stratification process follows a hierarchical approach, which is based on first level units (i.e., classification units) and second-level units (i.e., stratification units). Nonparametric techniques allow to measure the correspondence between the geographic space and the landscape configuration represented by the units. These correspondence metrics are useful to define sampling schemes and to model the spatial variability of environmental phenomena. The theoretical background of the algorithms and code examples are presented in Fuentes et al. (2022). .

margaret — by Bryan Arias, 3 years ago

Scientometric Analysis Minciencias

The target of 'margaret' is help to extract data from Minciencias to analyze scientific production in Colombia.

tidyxl — by Duncan Garmonsway, a year ago

Read Untidy Excel Files

Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports '.xlsx' and '.xlsm' via the embedded 'RapidXML' C++ library < https://rapidxml.sourceforge.net>. Does not support '.xlsb' or '.xls'.

LindenmayeR — by Bryan Hanson, 8 years ago

Functions to Explore L-Systems (Lindenmayer Systems)

L-systems or Lindenmayer systems are parallel rewriting systems which can be used to simulate biological forms and certain kinds of fractals. Briefly, in an L-system a series of symbols in a string are replaced iteratively according to rules to give a more complex string. Eventually, the symbols are translated into turtle graphics for plotting. Wikipedia has a very good introduction: en.wikipedia.org/wiki/L-system This package provides basic functions for exploring L-systems.

qdap — by Tyler Rinker, 2 years ago

Bridging the Gap Between Qualitative Data and Quantitative Analysis

Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. 'qdap' is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/ Natural Language Processing.

funspotr — by Bryan Shalloway, a year ago

Spot R Functions & Packages

Helpers for parsing out the R functions and packages used in R scripts and notebooks.

bigalgebra — by Frederic Bertrand, 7 months ago

'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects

Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.