mombf - Model Selection with Bayesian Methods and Information Criteria
Model selection and averaging for regression and mixtures, inclusing Bayesian model selection and information criteria (BIC, EBIC, AIC, GIC).
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openblascppopenmp
6.64 score 7 stars 2 dependents 172 scripts 374 downloadscasper - Characterization of Alternative Splicing Based on Paired-End Reads
Infer alternative splicing from paired-end RNA-seq data. The model is based on counting paths across exons, rather than pairwise exon connections, and estimates the fragment size and start distributions non-parametrically, which improves estimation precision.
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immunooncologygeneexpressiondifferentialexpressiontranscriptionrnaseqsequencingcpp
5.18 score 76 scripts 386 downloadsgaga - GaGa hierarchical model for high-throughput data analysis
Implements the GaGa model for high-throughput data analysis, including differential expression analysis, supervised gene clustering and classification. Additionally, it performs sequential sample size calculations using the GaGa and LNNGV models (the latter from EBarrays package).
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immunooncologyonechannelmassspectrometrymultiplecomparisondifferentialexpressionclassification
4.26 score 1 dependents 15 scripts 460 downloadsmodelSelection - High-Dimensional Model Selection
Model selection and averaging for regression, generalized linear models, generalized additive models, graphical models and mixtures, focusing on Bayesian model selection and information criteria (Bayesian information criterion etc.). See Rossell (2025) <doi:10.5281/zenodo.17119597> (see the URL field below for its URL) for a hands-on book describing the methods, examples and suggested citations if you use the package.
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openblascppopenmp
3.88 score 15 scripts 163 downloads