R-universe search: "information-theory"

Showing 7 of total 7 results (show query)

drostlab

philentropy:Similarity and Distance Quantification Between Probability Functions

Computes 46 optimized distance and similarity measures for comparing probability functions (Drost (2018) <doi:10.21105/joss.00765>). These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.

Maintained by Hajk-Georg Drost. Last updated 3 months ago.

distance-measures distance-quantification information-theory jensen-shannon-divergence parametric-distributions similarity-measures statistics cpp

32.1 match 137 stars 12.44 score 484 scripts 24 dependents

tjetka

SLEMI:Statistical Learning Based Estimation of Mutual Information

The implementation of the algorithm for estimation of mutual information and channel capacity from experimental data by classification procedures (logistic regression). Technically, it allows to estimate information-theoretic measures between finite-state input and multivariate, continuous output. Method described in Jetka et al. (2019) <doi:10.1371/journal.pcbi.1007132>.

Maintained by Tomasz Jetka. Last updated 1 years ago.

channel-capacity information-theory logistic-regression mutual-information-estimation

34.2 match 4 stars 4.92 score 21 scripts

majianthu

copent:Estimating Copula Entropy and Transfer Entropy

The nonparametric methods for estimating copula entropy, transfer entropy, and the statistics for multivariate normality test and two-sample test are implemented. The methods for estimating transfer entropy and the statistics for multivariate normality test and two-sample test are based on the method for estimating copula entropy. The method for change point detection with copula entropy based two-sample test is also implemented. Please refer to Ma and Sun (2011) <doi:10.1016/S1007-0214(11)70008-6>, Ma (2019) <doi:10.48550/arXiv.1910.04375>, Ma (2022) <doi:10.48550/arXiv.2206.05956>, Ma (2023) <doi:10.48550/arXiv.2307.07247>, and Ma (2024) <doi:10.48550/arXiv.2403.07892> for more information.

Maintained by MA Jian. Last updated 9 months ago.

causal-discovery causality change-point-detection conditional-independence-test conditional-mutual-information copula copula-entropy correlation entropy granger-causality information-theory mutual-information mutualinf normality-test transfer-entropy two-sample-test variable-selection

29.7 match 41 stars 5.15 score 23 scripts 1 dependents

stscl

sshicm:Information Consistency-Based Measures for Spatial Stratified Heterogeneity

Spatial stratified heterogeneity (SSH) denotes the coexistence of within-strata homogeneity and between-strata heterogeneity. Information consistency-based methods provide a rigorous approach to quantify SSH and evaluate its role in spatial processes, grounded in principles of geographical stratification and information theory (Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>; Wang, J. et al. (2024) <doi:10.1080/24694452.2023.2289982>).

Maintained by Wenbo Lv. Last updated 3 months ago.

geoinformatics geospatial-analysis information-theory spatial-statistics spatial-stratified-heterogeneity cpp

28.2 match 3 stars 4.65 score 2 scripts

manuelrausch

statConfR:Models of Decision Confidence and Measures of Metacognition

Provides fitting functions and other tools for decision confidence and metacognition researchers, including meta-d'/d', often considered to be the gold standard to measure metacognitive efficiency, and information-theoretic measures of metacognition. Also allows to fit several static models of decision making and confidence.

Maintained by Manuel Rausch. Last updated 13 days ago.

cognitive-modeling information-theory metacognition signal-detection-theory

25.8 match 5 stars 4.93 score 8 scripts

nowosad

raceland:Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography

Implements a computational framework for a pattern-based, zoneless analysis, and visualization of (ethno)racial topography (Dmowska, Stepinski, and Nowosad (2020) <doi:10.1016/j.apgeog.2020.102239>). It is a reimagined approach for analyzing residential segregation and racial diversity based on the concept of 'landscape’ used in the domain of landscape ecology.

Maintained by Jakub Nowosad. Last updated 2 years ago.

information-theory landscape racial-diversity raster residential-segregation spatial cpp

17.5 match 9 stars 5.21 score 12 scripts

wilarhen

ecochange:Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators

Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that document biodiversity change. Freely available ecosystem remote sensing products (ERSP) are downloaded and integrated with data for national or regional domains to derive indicators for EBV in the class ecosystem structure (Pereira et al., 2013) <doi:10.1126/science.1229931>, including horizontal ecosystem extents, fragmentation, and information-theory indices. To process ERSP, users must provide a polygon or geographic administrative data map. Downloadable ERSP include Global Surface Water (Peckel et al., 2016) <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013) <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>.

Maintained by Wilson Lara Henao. Last updated 9 months ago.

1.0 match 2 stars 2.30 score 5 scripts