|
davix
|
public |
High-performance data access client for HTTP-based protocols. (WebDAV / S3 / Microsoft Azure / HTTP)
|
2025-04-22 |
|
afterimage
|
public |
Generic image manipulation library
|
2025-04-22 |
|
ldas-tools-frameapi
|
public |
LDAS tools frameAPI library
|
2025-04-22 |
|
vdt
|
public |
VectoriseD maTh C++ Library for Fast Math
|
2025-04-22 |
|
ptvsd
|
public |
Python debugger package for use with Visual Studio and Visual Studio Code
|
2025-04-22 |
|
csm
|
public |
The Community Sensor Model API
|
2025-04-22 |
|
gama
|
public |
Adjustment of geodetic networks
|
2025-04-22 |
|
glm
|
public |
OpenGL Mathematics
|
2025-04-22 |
|
pypubsub
|
public |
A python publish-subscribe library
|
2025-04-22 |
|
r-bench
|
public |
Tools to accurately benchmark and analyze execution times for R expressions.
|
2025-04-22 |
|
r-sparselda
|
public |
Performs sparse linear discriminant analysis for Gaussians and mixture of Gaussian models.
|
2025-04-22 |
|
r-lasso2
|
public |
Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998).
|
2025-04-22 |
|
r-kza
|
public |
Time Series Analysis including break detection, spectral analysis, KZ Fourier Transforms.
|
2025-04-22 |
|
r-distrex
|
public |
Extends package 'distr' by functionals, distances, and conditional distributions.
|
2025-04-22 |
|
r-tkrplot
|
public |
Simple mechanism for placing R graphics in a Tk widget.
|
2025-04-22 |
|
r-dppackage
|
public |
Functions to perform inference via simulation from the posterior distributions for Bayesian nonparametric and semiparametric models. Although the name of the package was motivated by the Dirichlet Process prior, the package considers and will consider other priors on functional spaces. So far, DPpackage includes models considering Dirichlet Processes, Dependent Dirichlet Processes, Dependent Poisson- Dirichlet Processes, Hierarchical Dirichlet Processes, Polya Trees, Linear Dependent Tailfree Processes, Mixtures of Triangular distributions, Random Bernstein polynomials priors and Dependent Bernstein Polynomials. The package also includes models considering Penalized B-Splines. Includes semiparametric models for marginal and conditional density estimation, ROC curve analysis, interval censored data, binary regression models, generalized linear mixed models, IRT type models, and generalized additive models. Also contains functions to compute Pseudo-Bayes factors for model comparison, and to elicitate the precision parameter of the Dirichlet Process. To maximize computational efficiency, the actual sampling for each model is done in compiled FORTRAN. The functions return objects which can be subsequently analyzed with functions provided in the 'coda' package.
|
2025-04-22 |
|
r-logicreg
|
public |
Routines for fitting Logic Regression models. Logic Regression is described in Ruczinski, Kooperberg, and LeBlanc (2003) <DOI:10.1198/1061860032238>. Monte Carlo Logic Regression is described in and Kooperberg and Ruczinski (2005) <DOI:10.1002/gepi.20042>.
|
2025-04-22 |
|
r-diffusr
|
public |
Implementation of network diffusion algorithms such as heat diffusion or Markov random walks. Network diffusion algorithms generally spread information in the form of node weights along the edges of a graph to other nodes. These weights can for example be interpreted as temperature, an initial amount of water, the activation of neurons in the brain, or the location of a random surfer in the internet. The information (node weights) is iteratively propagated to other nodes until a equilibrium state or stop criterion occurs.
|
2025-04-22 |
|
r-rafalib
|
public |
A series of shortcuts for routine tasks originally developed by Rafael A. Irizarry to facilitate data exploration.
|
2025-04-22 |
|
r-invariantcausalprediction
|
public |
Confidence intervals for causal effects, using data collected in different experimental or environmental conditions. Hidden variables can be included in the model with a more experimental version.
|
2025-04-22 |
|
r-mcbiopi
|
public |
Computes the prime implicants or a minimal disjunctive normal form for a logic expression presented by a truth table or a logic tree. Has been particularly developed for logic expressions resulting from a logic regression analysis, i.e. logic expressions typically consisting of up to 16 literals, where the prime implicants are typically composed of a maximum of 4 or 5 literals.
|
2025-04-22 |
|
r-gptk
|
public |
The gptk package implements a general-purpose toolkit for Gaussian process regression with a variety of covariance functions (e.g. RBF, Mattern, polynomial, etc). Based on a MATLAB implementation by Neil D. Lawrence. See inst/doc/index.html for more details.
|
2025-04-22 |
|
r-sparsemvn
|
public |
Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.
|
2025-04-22 |
|
r-aplpack
|
public |
Some functions for drawing some special plots: The function 'bagplot' plots a bagplot, 'faces' plots chernoff faces, 'iconplot' plots a representation of a frequency table or a data matrix, 'plothulls' plots hulls of a bivariate data set, 'plotsummary' plots a graphical summary of a data set, 'puticon' adds icons to a plot, 'skyline.hist' combines several histograms of a one dimensional data set in one plot, 'slider' functions supports some interactive graphics, 'spin3R' helps an inspection of a 3-dim point cloud, 'stem.leaf' plots a stem and leaf plot, 'stem.leaf.backback' plots back-to-back versions of stem and leaf plot.
|
2025-04-22 |
|
r-ccp
|
public |
Significance tests for canonical correlation analysis, including asymptotic tests and a Monte Carlo method
|
2025-04-22 |
