|
r-anocva
|
public |
Provides ANOCVA (ANalysis Of Cluster VAriability), a non-parametric statistical test to compare clustering structures with applications in functional magnetic resonance imaging data (fMRI). The ANOCVA allows us to compare the clustering structure of multiple groups simultaneously and also to identify features that contribute to the differential clustering.
|
2025-09-24 |
|
psygnal
|
public |
Pure python implementation of Qt Signals
|
2025-09-24 |
|
cryspy
|
public |
PNPD data analysis
|
2025-09-24 |
|
r-fail
|
public |
More comfortable interface to work with R data or source files in a key-value fashion.
|
2025-09-24 |
|
r-datacomparer
|
public |
Easy comparison of two tabular data objects in R. Specifically designed to show differences between two sets of data in a useful way that should make it easier to understand the differences, and if necessary, help you work out how to remedy them. Aims to offer a more useful output than all.equal() when your two data sets do not match, but isn't intended to replace all.equal() as a way to test for equality.
|
2025-09-24 |
|
r-bwstools
|
public |
Tools to design best-worst scaling designs (i.e., balanced incomplete block designs) and to analyze data from these designs, using aggregate and individual methods such as: difference scores, Louviere, Lings, Islam, Gudergan, & Flynn (2013) <doi:10.1016/j.ijresmar.2012.10.002>; analytical estimation, Lipovetsky & Conklin (2014) <doi:10.1016/j.jocm.2014.02.001>; empirical Bayes, Lipovetsky & Conklin (2015) <doi:10.1142/S1793536915500028>; Elo, Hollis (2018) <doi:10.3758/s13428-017-0898-2>; and network-based measures.
|
2025-09-24 |
|
r-lvm4net
|
public |
Latent variable models for network data using fast inferential procedures. For more information please visit: <http://igollini.github.io/lvm4net/>.
|
2025-09-24 |
|
r-ggdag
|
public |
Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses the 'DAGitty' web tool (<http://dagitty.net>) for creating and analyzing DAGs. 'ggdag' makes it easy to tidy and plot 'dagitty' objects using 'ggplot2' and 'ggraph', as well as common analytic and graphical functions, such as determining adjustment sets and node relationships.
|
2025-09-24 |
|
r-clustree
|
public |
Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.
|
2025-09-24 |
|
marimo
|
public |
A library for making reactive notebooks and apps
|
2025-09-24 |
|
injective-py
|
public |
Injective Python SDK, with Exchange API client
|
2025-09-24 |
|
r-plnmodels
|
public |
The Poisson-lognormal model and variants can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data (Chiquet, Mariadassou and Robin, 2018 <doi:10.1214/18-AOAS1177>), discriminant analysis and network inference (Chiquet, Mariadassou and Robin, 2018 <http://proceedings.mlr.press/v97/chiquet19a.html>). Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
|
2025-09-24 |
|
libmetatensor-torch
|
public |
TorchScript/C++ bindings to metatensor
|
2025-09-24 |
|
fblog
|
public |
Small command-line JSON log viewer
|
2025-09-24 |
|
neomodel
|
public |
An object mapper for the neo4j graph database.
|
2025-09-24 |
|
r-polynomf
|
public |
Implements univariate polynomial operations in R, including polynomial arithmetic, finding zeros, plotting, and some operations on lists of polynomials.
|
2025-09-24 |
|
fake-factory
|
public |
Faker is a Python package that generates fake data for you.
|
2025-09-24 |
|
epoxy
|
public |
A library for handling OpenGL function pointer management for you.
|
2025-09-24 |
|
adwaita-icon-theme
|
public |
The default icon theme used by the GNOME desktop
|
2025-09-24 |
|
r-ggtangle
|
public |
Extends the 'ggplot2' plotting system to support network visualization. Inspired by the 'Method 1' in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>), 'ggtangle' is designed to work with network associated data.
|
2025-09-24 |
|
aiida-quantumespresso.meta
|
public |
The official AiiDA plugin for Quantum ESPRESSO
|
2025-09-24 |
|
aiida-quantumespresso.code
|
public |
The official AiiDA plugin for Quantum ESPRESSO
|
2025-09-24 |
|
aiida-quantumespresso
|
public |
The official AiiDA plugin for Quantum ESPRESSO
|
2025-09-24 |
|
r-tsstudio
|
public |
Provides a set of tools for descriptive and predictive analysis of time series data. That includes functions for interactive visualization of time series objects and as well utility functions for automation time series forecasting.
|
2025-09-24 |
|
r-waterfalls
|
public |
A not uncommon task for quants is to create 'waterfall charts'. There seems to be no simple way to do this in 'ggplot2' currently. This package contains a single function (waterfall) that simply draws a waterfall chart in a 'ggplot2' object. Some flexibility is provided, though often the object created will need to be modified through a theme.
|
2025-09-24 |
