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r-fnn
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public |
Fast Nearest Neighbor Search Algorithms and Applications
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2023-06-16 |
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r-date
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public |
Functions for Handling Dates
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2023-06-16 |
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r-dfoptim
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public |
Derivative-Free Optimization
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2023-06-16 |
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r-geepack
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public |
Generalized Estimating Equation Package
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2023-06-16 |
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r-hexview
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public |
Viewing Binary Files
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2023-06-16 |
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r-mondate
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public |
Keep track of dates in terms of months
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2023-06-16 |
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r-goftest
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public |
Classical Goodness-of-Fit Tests for Univariate Distributions
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2023-06-16 |
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r-ibdreg
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public |
Regression Methods for IBD Linkage With Covariates
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2023-06-16 |
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r-prettyunits
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public |
Pretty, Human Readable Formatting of Quantities
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2023-06-16 |
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r-rem
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public |
Relational Event Models (REM)
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2023-06-16 |
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r-desc
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public |
Manipulate DESCRIPTION Files
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2023-06-16 |
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r-r.cache
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public |
Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
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2023-06-16 |
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r-rcsdp
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public |
R Interface to the CSDP Semidefinite Programming Library
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2023-06-16 |
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r-cliapp
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public |
Create Rich Command Line Applications
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2023-06-16 |
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r-rex
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public |
Friendly Regular Expressions
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2023-06-16 |
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r-ini
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public |
Read and Write '.ini' Files
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2023-06-16 |
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r-downloader
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public |
Download Files over HTTP and HTTPS
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2023-06-16 |
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r-gamlss.data
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public |
GAMLSS Data
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2023-06-16 |
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r-png
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public |
Read and write PNG images
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2023-06-16 |
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r-visnetwork
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public |
Network Visualization using 'vis.js' Library
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2023-06-16 |
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r-base
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public |
R is a free software environment for statistical computing and graphics.
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2023-06-16 |
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r-rjsonio
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public |
This is a package that allows conversion to and from data in Javascript object notation (JSON) format. This allows R objects to be inserted into Javascript/ECMAScript/ActionScript code and allows R programmers to read and convert JSON content to R objects. This is an alternative to rjson package. Originally, that was too slow for converting large R objects to JSON and was not extensible. rjson's performance is now similar to this package, and perhaps slightly faster in some cases. This package uses methods and is readily extensible by defining methods for different classes, vectorized operations, and C code and callbacks to R functions for deserializing JSON objects to R. The two packages intentionally share the same basic interface. This package (RJSONIO) has many additional options to allow customizing the generation and processing of JSON content. This package uses libjson rather than implementing yet another JSON parser. The aim is to support other general projects by building on their work, providing feedback and benefit from their ongoing development.
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2023-06-16 |
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aniso8601
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public |
A library for parsing ISO 8601 strings.
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2023-06-16 |
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retrying
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public |
Simplify the task of adding retry behavior to just about anything.
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2023-06-16 |
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pywavelets
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public |
Discrete Wavelet Transforms in Python
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2023-06-16 |
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imageio
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public |
A Python library for reading and writing image data
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2023-06-16 |
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kiwisolver
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public |
A fast implementation of the Cassowary constraint solver
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2023-06-16 |
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r-foreign
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public |
Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...
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2023-06-16 |
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r-squarem
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public |
Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM").
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2023-06-16 |
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r-car
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public |
Functions and Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied
Regression, Second Edition, Sage, 2011
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2023-06-16 |
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r-quantmod
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public |
No Summary
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2023-06-16 |
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r-openxlsx
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public |
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
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2023-06-16 |
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r-pls
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public |
Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).
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2023-06-16 |
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r-quantreg
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public |
Quantile Regression
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2023-06-16 |
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docker-pycreds
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public |
Python bindings for the docker credentials store API
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2023-06-16 |
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pyaml
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public |
PyYAML-based module to produce pretty and readable YAML-serialized data
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2023-06-16 |
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r-deoptimr
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public |
Differential Evolution (DE) stochastic algorithms for global optimization of problems with and without constraints. The aim is to curate a collection of its state-of-the-art variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it only provides an implementation of the 'jDE' algorithm by Brest et al. (2006) <doi:10.1109/TEVC.2006.872133>.
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2023-06-16 |
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r-ddalpha
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public |
Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.
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2023-06-16 |
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r-numderiv
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public |
Methods for calculating (usually) accurate numerical first and second order derivatives. Accurate calculations are done using 'Richardson''s' extrapolation or, when applicable, a complex step derivative is available. A simple difference method is also provided. Simple difference is (usually) less accurate but is much quicker than 'Richardson''s' extrapolation and provides a useful cross-check. Methods are provided for real scalar and vector valued functions.
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2023-06-16 |
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r-ttr
|
public |
Technical Trading Rules
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2023-06-16 |
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r-lava
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public |
Latent Variable Models
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2023-06-16 |
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r-magic
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public |
Create and Investigate Magic Squares
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2023-06-16 |
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r-cvst
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public |
The fast cross-validation via sequential testing (CVST) procedure is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating under-performing candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
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2023-06-16 |
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pycryptodome
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public |
Cryptographic library for Python
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2023-06-16 |
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r-ipred
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public |
Improved Predictors
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2023-06-16 |
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r-xts
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public |
eXtensible Time Series
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2023-06-16 |
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python-jose
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public |
JOSE implementation in Python
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2023-06-16 |
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jsondiff
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public |
Diff JSON and JSON-like structures in Python
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2023-06-16 |
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r-maptools
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public |
Tools for Handling Spatial Objects
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2023-06-16 |
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r-rcpproll
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public |
Provides fast and efficient routines for common rolling / windowed operations. Routines for the efficient computation of windowed mean, median, sum, product, minimum, maximum, standard deviation and variance are provided.
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2023-06-16 |
