Found 89 packages in 0.01 seconds
A General-Purpose Package for Dynamic Report Generation in R
Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Fit a Principal Curve in Arbitrary Dimension
Fitting a principal curve to a data matrix in arbitrary dimensions.
Hastie and Stuetzle (1989)
Community Ecology Package
Ordination methods, diversity analysis and other functions for community and vegetation ecologists.
Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Fast Pseudo Random Number Generators
Several fast random number generators are provided as C++
header only libraries: The PCG family by O'Neill (2014
< https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as
the Xoroshiro / Xoshiro family by Blackman and Vigna (2021
Understand and Describe Bayesian Models and Posterior Distributions
Provides utilities to describe posterior
distributions and Bayesian models. It includes point-estimates such as
Maximum A Posteriori (MAP), measures of dispersion (Highest Density
Interval - HDI; Kruschke, 2015
Get the Same, Personal, Free 'TCP' Port over and over
An R implementation of the cross-platform, language-independent "port4me" algorithm (< https://github.com/HenrikBengtsson/port4me>), which (1) finds a free Transmission Control Protocol ('TCP') port in [1024,65535] that the user can open, (2) is designed to work in multi-user environments, (3), gives different users, different ports, (4) gives the user the same port over time with high probability, (5) gives different ports for different software tools, and (6) requires no configuration.
Adding Progress Bar to '*apply' Functions
A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends including mirai and future.
The R to MOSEK Optimization Interface
This is a meta-package designed to support the installation of Rmosek (>= 6.0) and bring the optimization facilities of MOSEK (>= 6.0) to the R-language. The interface supports large-scale optimization of many kinds: Mixed-integer and continuous linear, second-order cone, exponential cone and power cone optimization, as well as continuous semidefinite optimization. Rmosek and the R-language are open-source projects. MOSEK is a proprietary product, but unrestricted trial and academic licenses are available.
Methods for Reading dChip Files
Functions for reading DCP and CDF.bin files generated by the dChip software.