|
r-logspline
|
public |
Contains routines for logspline density estimation. The function oldlogspline() uses the same algorithm as the logspline package version 1.0.x; i.e. the Kooperberg and Stone (1992) algorithm (with an improved interface). The recommended routine logspline() uses an algorithm from Stone et al (1997) <DOI:10.1214/aos/1031594728>.
|
2025-04-22 |
|
r-bwstest
|
public |
Performs the 'Baumgartner-Weiss-Schindler' two-sample test of equal probability distributions, <doi:10.2307/2533862>. Also performs similar rank-based tests for equal probability distributions due to Neuhauser <doi:10.1080/10485250108832874> and Murakami <doi:10.1080/00949655.2010.551516>.
|
2025-04-22 |
|
r-ksamples
|
public |
Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
|
2025-04-22 |
|
r-etm
|
public |
The etm (empirical transition matrix) package permits to estimate the matrix of transition probabilities for any time-inhomogeneous multistate model with finite state space using the Aalen-Johansen estimator. Functions for data preparation and for displaying are also included (Allignol et al., 2011 <doi:10.18637/jss.v038.i04>). Functionals of the Aalen-Johansen estimator, e.g., excess length-of-stay in an intermediate state, can also be computed (Allignol et al. 2011 <doi:10.1007/s00180-010-0200-x>).
|
2025-04-22 |
|
r-neuralnet
|
public |
Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without weight backtracking (Riedmiller and Braun, 1993) or the modified globally convergent version by Anastasiadis et al. (2005). The package allows flexible settings through custom-choice of error and activation function. Furthermore, the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented.
|
2025-04-22 |
|
r-segregation
|
public |
Computes entropy-based segregation indices, as developed by Theil (1971) <isbn:978-0471858454>, with a focus on the Mutual Information Index (M) and Theil's Information Index (H). The M, further described by Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> and Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008>, is a measure of segregation that is highly decomposable. The package provides tools to decompose the index by units and groups (local segregation), and by within and between terms. Includes standard error estimation by bootstrapping.
|
2025-04-22 |
|
r-fftrees
|
public |
Create, visualize, and test fast-and-frugal decision trees (FFTs). FFTs are very simple decision trees for binary classification problems. FFTs can be preferable to more complex algorithms because they are easy to communicate, require very little information, and are robust against overfitting.
|
2025-04-22 |
|
r-als
|
public |
Alternating least squares is often used to resolve components contributing to data with a bilinear structure; the basic technique may be extended to alternating constrained least squares. Commonly applied constraints include unimodality, non-negativity, and normalization of components. Several data matrices may be decomposed simultaneously by assuming that one of the two matrices in the bilinear decomposition is shared between datasets.
|
2025-04-22 |
|
r-chemometricswithr
|
public |
Functions and scripts used in the book "Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences" by Ron Wehrens, Springer (2011). Data used in the package are available from github.
|
2025-04-22 |
|
r-c3net
|
public |
This package allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.
|
2025-04-22 |
|
r-iso
|
public |
Linear order and unimodal order (univariate) isotonic regression; bivariate isotonic regression with linear order on both variables.
|
2025-04-22 |
|
go1.4-bootstrap
|
public |
The golang bootstrap compiler (use go for the full golang)
|
2025-04-22 |
|
r-esabcv
|
public |
These functions estimate the latent factors of a given matrix, no matter it is high-dimensional or not. It tries to first estimate the number of factors using bi-cross-validation and then estimate the latent factor matrix and the noise variances. For more information about the method, see Art B. Owen and Jingshu Wang 2015 archived article on factor model (http://arxiv.org/abs/1503.03515).
|
2025-04-22 |
|
r-xmlparsedata
|
public |
Convert the output of 'utils::getParseData()' to an 'XML' tree, that one can search via 'XPath', and easier to manipulate in general.
|
2025-04-22 |
|
r-ggmcmc
|
public |
Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables.
|
2025-04-22 |
|
autoconf-archive
|
public |
Collection of over 500 reusable autoconf macros
|
2025-04-22 |
|
intel-vaapi-driver
|
public |
VA-API (Video Acceleration API) user mode driver for Intel GEN Graphics family
|
2025-04-22 |
|
intel-hybrid-driver
|
public |
VA driver for Intel G45 & HD Graphics family
|
2025-04-22 |
|
cmrt
|
public |
Media GPU kernel manager for Intel G45 & HD Graphics family
|
2025-04-22 |
|
libva
|
public |
Libva is an implementation for VA-API (Video Acceleration API)
|
2025-04-22 |
|
r-juniperkernel
|
public |
Provides a full implementation of the 'Jupyter' <http://jupyter.org/> messaging protocol in C++ by leveraging 'Rcpp' and 'Xeus' <https://github.com/QuantStack/xeus>. 'Jupyter' supplies an interactive computing environment and a messaging protocol defined over 'ZeroMQ' for multiple programming languages. This package implements the 'Jupyter' kernel interface so that 'R' is exposed to this interactive computing environment. 'ZeroMQ' functionality is provided by the 'pbdZMQ' package. 'Xeus' is a C++ library that facilitates the implementation of kernels for 'Jupyter'. Additionally, 'Xeus' provides an interface to libraries that exist in the 'Jupyter' ecosystem for building widgets, plotting, and more <https://blog.jupyter.org/interactive-workflows-for-c-with-jupyter-fe9b54227d92>. 'JuniperKernel' uses 'Xeus' as a library for the 'Jupyter' messaging protocol.
|
2025-04-22 |
|
seccomp
|
public |
libseccomp provides an easy to use, platform independent, interface to the Linux syscall filtering mechanism.
|
2025-04-22 |
|
libseccomp
|
public |
libseccomp provides an easy to use, platform independent, interface to the Linux syscall filtering mechanism.
|
2025-04-22 |
|
r-whoami
|
public |
Look up the username and full name of the current user, the current user's email address and 'GitHub' username, using various sources of system and configuration information.
|
2025-04-22 |
|
r-bfa
|
public |
Provides model fitting for several Bayesian factor models including Gaussian, ordinal probit, mixed and semiparametric Gaussian copula factor models under a range of priors.
|
2025-04-22 |
