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 4 months ago.
distance-measuresdistance-quantificationinformation-theoryjensen-shannon-divergenceparametric-distributionssimilarity-measuresstatisticscpp
137 stars 12.44 score 484 scripts 24 dependents
comeetie
greed:Clustering and Model Selection with the Integrated Classification Likelihood
An ensemble of algorithms that enable the clustering of networks and data matrices (such as counts, categorical or continuous) with different type of generative models. Model selection and clustering is performed in combination by optimizing the Integrated Classification Likelihood (which is equivalent to minimizing the description length). Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures of Multinomial, Latent Block Model. The optimization is performed thanks to a combination of greedy local search and a genetic algorithm (see <arXiv:2002:11577> for more details).
Maintained by Etienne Côme. Last updated 2 years ago.
14 stars 5.94 score 41 scripts
bioc
miRLAB:Dry lab for exploring miRNA-mRNA relationships
Provide tools exploring miRNA-mRNA relationships, including popular miRNA target prediction methods, ensemble methods that integrate individual methods, functions to get data from online resources, functions to validate the results, and functions to conduct enrichment analyses.
Maintained by Thuc Duy Le. Last updated 5 months ago.
mirnageneexpressionnetworkinferencenetwork
4.72 score 11 scripts
hanjunwei-lab
ProgModule:Identification of Prognosis-Related Mutually Exclusive Modules
A novel tool to identify candidate driver modules for predicting the prognosis of patients by integrating exclusive coverage of mutations with clinical characteristics in cancer.
Maintained by Junwei Han. Last updated 3 months ago.
3.70 score 1 scripts
kplevoet
svs:Tools for Semantic Vector Spaces
Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis, EM clustering, logratio analysis and log-multiplicative (association) analysis. Furthermore, there are specialized distance measures, plotting functions and some helper functions.
Maintained by Koen Plevoets. Last updated 9 months ago.
1 stars 1.49 score 31 scripts
cran
symmetry:Testing for Symmetry of Data and Model Residuals
Implementations of a large number of tests for symmetry and their bootstrap variants, which can be used for testing the symmetry of random samples around a known or unknown mean. Functions are also there for testing the symmetry of model residuals around zero. Currently, the supported models are linear models and generalized autoregressive conditional heteroskedasticity (GARCH) models (fitted with the 'fGarch' package). All tests are implemented using the 'Rcpp' package which ensures great performance of the code.
Maintained by Blagoje Ivanović. Last updated 2 years ago.
1.06 scorecran
MultiVarMI:Multiple Imputation for Multivariate Data
Fully parametric Bayesian multiple imputation framework for massive multivariate data of different variable types as seen in Demirtas, H. (2017) <doi:10.1007/978-981-10-3307-0_8>.
Maintained by Rawan Allozi. Last updated 7 years ago.
1.00 score