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Package Name Access Summary Updated
r-klar public Miscellaneous functions for classification and visualization, e.g. regularized discriminant analysis, sknn() kernel-density naive Bayes, an interface to 'svmlight' and stepclass() wrapper variable selection for supervised classification, partimat() visualization of classification rules and shardsplot() of cluster results as well as kmodes() clustering for categorical data, corclust() variable clustering, variable extraction from different variable clustering models and weight of evidence preprocessing. 2025-04-22
r-combinat public routines for combinatorics 2025-04-22
sphinxcontrib-spelling public This package contains sphinxcontrb.spelling, a spelling checker for Sphinx-based documentation. 2025-04-22
toml public Python lib for TOML. 2025-04-22
jcc public a C++ code generator for calling Java from C++/Python 2025-04-22
r-expm public Computation of the matrix exponential, logarithm, sqrt, and related quantities. 2025-04-22
pyfmmlib public Python wrappers for FMMLIB2D and FMMLIB3D 2025-04-22
flake8-blind-except public A flake8 extension that checks for blind, catch-all except statements 2025-04-22
fdupes public Identify or delete duplicate files 2025-04-22
django-cachalot public No effort, no worry, maximum performance. 2025-04-22
bootstrap_contrast public Python module to produce bootstrapped confidence intervals and effect sizes. 2025-04-22
r-geomap public Set of routines for making Map Projections (forward and inverse), Topographic Maps, Perspective plots, Geological Maps, geological map symbols, geological databases, interactive plotting and selection of focus regions. 2025-04-22
r-fields public For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857 and the National Center for Atmospheric Research. See the Fields URL for a vignette on using this package and some background on spatial statistics. 2025-04-22
r-phonr public Tools for phoneticians and phonologists, including functions for normalization and plotting of vowels. 2025-04-22
r-splancs public The Splancs package was written as an enhancement to S-Plus for display and analysis of spatial point pattern data; it has been ported to R and is in "maintenance mode". 2025-04-22
r-rpmg public Really Poor Man's Graphical User Interface, used to create interactive R analysis sessions with simple R commands. 2025-04-22
r-plotrix public Lots of plots, various labeling, axis and color scaling functions. 2025-04-22
r-mba public Functions to interpolate irregularly and regularly spaced data using Multilevel B-spline Approximation (MBA). Functions call portions of the SINTEF Multilevel B-spline Library written by Øyvind Hjelle which implements methods developed by Lee, Wolberg and Shin (1997; <doi:10.1109/2945.620490>). 2025-04-22
r-gmodels public Various R programming tools for model fitting. 2025-04-22
r-deldir public Calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. Plots triangulations and tessellations in various ways. Clips tessellations to sub-windows. Calculates perimeters of tessellations. Summarises information about the tiles of the tessellation. 2025-04-22
r-algdesign public Algorithmic experimental designs. Calculates exact and approximate theory experimental designs for D,A, and I criteria. Very large designs may be created. Experimental designs may be blocked or blocked designs created from a candidate list, using several criteria. The blocking can be done when whole and within plot factors interact. 2025-04-22
r-r.filesets public A file set refers to a set of files located in one or more directories on the file system. This package provides classes and methods to locate, setup, subset, navigate and iterate such sets. The API is designed such that these classes can be extended via inheritance to provide a richer API for special file formats. Moreover, a specific name format is defined such that filenames and directories can be considered to have full names which consists of a name followed by comma-separated tags. This adds additional flexibility to identify file sets and individual files. NOTE: This package's API should be considered to be in an beta stage. Its main purpose is currently to support the aroma.* packages, where it is one of the main core components; if you decide to build on top of this package, please contact the author first. 2025-04-22
r-hdrcde public Computation of highest density regions in one and two dimensions, kernel estimation of univariate density functions conditional on one covariate, and multimodal regression. 2025-04-22
r-relaimpo public Provides several metrics for assessing relative importance in linear models. These can be printed, plotted and bootstrapped. The recommended metric is lmg, which provides a decomposition of the model explained variance into non-negative contributions. There is a version of this package available that additionally provides a new and also recommended metric called pmvd. If you are a non-US user, you can download this extended version from Ulrike Groempings web site. 2025-04-22
r-listenv public List environments are environments that have list-like properties. For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'. 2025-04-22

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