Changepoint implements various mainstream and specialised changepoint methods. These methods are suitable for finding single and multiple changepoints within data. Many popular non-parametric and frequentist methods are included as well.
This Common Lisp library focuses on the small set of basic color manipulations (lightening, compliments, etc.) you might use to generate a color palette for a GUI or web page.
Sanitize is a whitelist-based HTML and CSS sanitizer. Given a list of acceptable elements, attributes, and CSS properties, Sanitize will remove all unacceptable HTML and/or CSS from a string.
The Polyglot library allows a Ruby module to register a loader for the file type associated with a filename extension, and it augments require to find and load matching files.
HighLine provides a high-level IO library that provides validation, type conversion, and more for command-line interfaces. HighLine also includes a menu system for providing multiple options to the user.
Maxitest is a wrapper around Minitest with extra functionality such as timeouts, an mtest executable that can run tests by line number, support for interrupted tests, better backtraces, and more.
Opens and imports log files from Angstrom Engineering Thermal Evaporator and extracts basic characteristics, such as base pressure, time of the evaporation. It can visualize the deposition observables for review.
Extend the bigmemory package with table', tapply', and split support for big.matrix objects. The functions may also be used with native R matrices for improving speed and memory-efficiency.
Conducts various numerical analyses and simulations in population genetics and evolutionary theory, primarily for the purpose of teaching (and learning about) key concepts in population & quantitative genetics, and evolutionary theory.
MHCnuggets (<https://github.com/KarchinLab/mhcnuggets>) is a Python tool to predict MHC class I and MHC class II epitopes. This package allows one to call MHCnuggets from R.
Self-sufficient reader and writer for flat Parquet files. Can read most Parquet data types. Can write many R data types, including factors and temporal types. See docs for limitations.
Calculate the optimal vertex partition of a graph using the persistence as objective function. These subroutines have been used in Avellone et al. <doi:10.1007/s10288-023-00559-z>.
Datasets from Yotov, et al. (2016, ISBN:978-92-870-4367-2) "An Advanced Guide to Trade Policy Analysis" and functions to report regression summaries with clustered robust standard errors.
Estimation of observation-specific weights for incomplete longitudinal data and bootstrap procedure for weighted quantile regressions. See Jacqmin-Gadda, Rouanet, Mba, Philipps, Dartigues (2020) for details <doi:10.1177/0962280220909986>.
This package provides
pseudo random generators, such as general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm and WELL generators)
quasi random generators, such as the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence), and
some generator tests: the gap test, the serial test, the poker test.
See e.g. Gentle (2003) doi:10.1007/b97336.
Interface to libKriging C++ library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in DiceKriging', kergp or RobustGaSP packages). libKriging relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, lbfgsb_cpp is a C++ port around by Pascal Have of lbfgsb library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Bovine\_probe\_tab.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Citrus\_probe\_tab.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Cotton\_probe\_tab.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Canine\_probe\_tab.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Hu6800\_probe\_tab.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Poplar\_probe\_tab.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Tomato\_probe\_tab.
This package extends mlr3 with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.