|
r-lpsolve
|
public |
Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
|
2025-03-25 |
|
r-rcppprogress
|
public |
An Interruptible Progress Bar with OpenMP Support for C++ in R Packages
|
2025-03-25 |
|
r-rcurl
|
public |
General Network (HTTP/FTP/...) Client Interface for R
|
2025-03-25 |
|
r-blob
|
public |
A Simple S3 Class for Representing Vectors of Binary Data ('BLOBS')
|
2025-03-25 |
|
r-bit64
|
public |
A S3 Class for Vectors of 64bit Integers
|
2025-03-25 |
|
r-bit
|
public |
A Class for Vectors of 1-Bit Booleans
|
2025-03-25 |
|
r-packrat
|
public |
A Dependency Management System for Projects and their R Package Dependencies
|
2025-03-25 |
|
r-config
|
public |
Manage Environment Specific Configuration Values
|
2025-03-25 |
|
r-forge
|
public |
Casting Values into Shape
|
2025-03-25 |
|
r-r2d3
|
public |
Interface to 'D3' Visualizations
|
2025-03-25 |
|
r-rappdirs
|
public |
Application Directories; Determine Where to Save Data, Caches, and Logs
|
2025-03-25 |
|
r-progress
|
public |
Terminal Progress Bars
|
2025-03-25 |
|
r-tinytex
|
public |
No Summary
|
2025-03-25 |
|
r-prettyunits
|
public |
Pretty, Human Readable Formatting of Quantities
|
2025-03-25 |
|
r-fansi
|
public |
ANSI Control Sequence Aware String Functions
|
2025-03-25 |
|
r-generics
|
public |
Common S3 Generics not Provided by Base R Methods Related to Model Fitting
|
2025-03-25 |
|
r-xfun
|
public |
Miscellaneous Functions by 'Yihui Xie'
|
2025-03-25 |
|
r-ellipsis
|
public |
Tools for Working with ...
|
2025-03-25 |
|
r-clipr
|
public |
Read and Write from the System Clipboard
|
2025-03-25 |
|
ibm-db
|
public |
Python library for connecting to DB2
|
2025-03-25 |
|
r-rjsonio
|
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.
|
2025-03-25 |
|
r-pls
|
public |
Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).
|
2025-03-25 |
|
r-timedate
|
public |
The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
|
2025-03-25 |
|
r-ipred
|
public |
Improved Predictors
|
2025-03-25 |
|
r-prodlim
|
public |
Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method.
|
2025-03-25 |
|
r-lava
|
public |
Latent Variable Models
|
2025-03-25 |
|
r-numderiv
|
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.
|
2025-03-25 |
|
r-squarem
|
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").
|
2025-03-25 |
|
r-gower
|
public |
Gower's Distance
|
2025-03-25 |
|
r-sfsmisc
|
public |
Utilities from 'Seminar fuer Statistik' ETH Zurich
|
2025-03-25 |
|
r-robustbase
|
public |
Basic Robust Statistics
|
2025-03-25 |
|
r-deoptimr
|
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>.
|
2025-03-25 |
|
r-magic
|
public |
Create and Investigate Magic Squares
|
2025-03-25 |
|
r-rcpproll
|
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.
|
2025-03-25 |
|
r-dimred
|
public |
A Framework for Dimensionality Reduction
|
2025-03-25 |
|
r-drr
|
public |
An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression.
|
2025-03-25 |
|
r-cvst
|
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.
|
2025-03-25 |
|
r-kernlab
|
public |
Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods 'kernlab' includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.
|
2025-03-25 |
|
r-rbokeh
|
public |
A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library <http://bokeh.pydata.org/>.
|
2025-03-25 |
|
r-quantmod
|
public |
No Summary
|
2025-03-25 |
|
r-ttr
|
public |
Technical Trading Rules
|
2025-03-25 |
|
r-maptools
|
public |
Tools for Handling Spatial Objects
|
2025-03-25 |
|
r-sp
|
public |
Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
|
2025-03-25 |
|
r-xts
|
public |
eXtensible Time Series
|
2025-03-25 |
|
r-cardata
|
public |
Companion to Applied Regression Data Sets
|
2025-03-25 |
|
r-quantreg
|
public |
Quantile Regression
|
2025-03-25 |
|
r-sparsem
|
public |
Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.
|
2025-03-25 |
|
r-haven
|
public |
Import and Export SPSS, Stata and SAS Files
|
2025-03-25 |
|
r-readr
|
public |
Read Rectangular Text Data
|
2025-03-25 |
|
r-shiny
|
public |
Web Application Framework for R
|
2025-03-25 |
