|
r-iml
|
public |
Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <arXiv:1801.01489>, accumulated local effects plots described by Apley (2018) <arXiv:1612.08468>, partial dependence plots described by Friedman (2001) <http://www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
|
2025-04-22 |
|
r-metrics
|
public |
An implementation of evaluation metrics in R that are commonly used in supervised machine learning. It implements metrics for regression, time series, binary classification, classification, and information retrieval problems. It has zero dependencies and a consistent, simple interface for all functions.
|
2025-04-22 |
|
r-writexl
|
public |
Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter'. Fast and no Java or Excel required.
|
2025-04-22 |
|
r-mpmi
|
public |
Uses a kernel smoothing approach to calculate Mutual Information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Uses a nonparametric bias correction giving Bias Corrected Mutual Information (BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to large genomic datasets.
|
2025-04-22 |
|
r-crf
|
public |
Implements modeling and computational tools for conditional random fields (CRF) model as well as other probabilistic undirected graphical models of discrete data with pairwise and unary potentials.
|
2025-04-22 |
|
r-contrast
|
public |
One degree of freedom contrasts for 'lm', 'glm', 'gls', and 'geese' objects.
|
2025-04-22 |
|
r-divemove
|
public |
Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.
|
2025-04-22 |
|
clang_variant
|
public |
Development headers and libraries for Clang
|
2025-04-22 |
|
cybuffer
|
public |
A Python 2/3 compatible buffer in Cython
|
2025-04-22 |
|
meshpy
|
public |
Triangular and Tetrahedral Mesh Generator
|
2025-04-22 |
|
r-rgcca
|
public |
Multiblock data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks.
|
2025-04-22 |
|
r-ggtern
|
public |
Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
|
2025-04-22 |
|
r-fcros
|
public |
A fold change rank based method is presented to search for genes with changing expression and to detect recurrent chromosomal copy number aberrations. This method may be useful for high-throughput biological data (micro-array, sequencing, ...). Probabilities are associated with genes or probes in the data set and there is no problem of multiple tests when using this method. For array-based comparative genomic hybridization data, segmentation results are obtained by merging the significant probes detected.
|
2025-04-22 |
|
zsh
|
public |
Zsh is a shell designed for interactive use, although it is also a powerful scripting language.
|
2025-04-22 |
|
pymt_cem
|
public |
CEM components wrapped as PyMT plugins.
|
2025-04-22 |
|
hmmlearn
|
public |
Hidden Markov Models in Python with scikit-learn like API.
|
2025-04-22 |
|
r-latex2exp
|
public |
Parses and converts LaTeX math formulas to R's plotmath expressions, used to enter mathematical formulas and symbols to be rendered as text, axis labels, etc. throughout R's plotting system.
|
2025-04-22 |
|
r-iotools
|
public |
Basic I/O tools for streaming and data parsing.
|
2025-04-22 |
|
r-cvxbiclustr
|
public |
An iterative algorithm for solving a convex formulation of the biclustering problem.
|
2025-04-22 |
|
r-distances
|
public |
Provides tools for constructing, manipulating and using distance metrics.
|
2025-04-22 |
|
python-flint
|
public |
Python bindings for Flint and Arb
|
2025-04-22 |
|
r-collapsibletree
|
public |
Interactive Reingold-Tilford tree diagrams created using 'D3.js', where every node can be expanded and collapsed by clicking on it. Tooltips and color gradients can be mapped to nodes using a numeric column in the source data frame. See 'collapsibleTree' website for more information and examples.
|
2025-04-22 |
|
r-ncdunnett
|
public |
Computes the noncentral Dunnett's test distribution (pdf, cdf and quantile) and generates random numbers.
|
2025-04-22 |
|
r-ontologyindex
|
public |
Functions for reading ontologies into R as lists and manipulating sets of ontological terms - 'ontologyX: A suite of R packages for working with ontological data', Greene et al 2017 <doi:10.1093/bioinformatics/btw763>.
|
2025-04-22 |
|
pyrsistent
|
public |
Persistent/Functional/Immutable data structures
|
2025-04-22 |
