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5 projects in result set.
BVSflex - The BVSflex package implements efficient Bayesian variable selection models for high-dimensional input data. A flexible selection prior allows the incorporation of additional information, e.g. a second data source including all sources of variation.
Tags: Bayesian, variable selection, Bioinformatics, logistic, integrative
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-11-13 11:35

Finite Mixure of AFT and FMR models - FMRS package provides estimation and variable selection in Finite Mixture of Accelerated Failure Time Regression (FMAFTR) and Finite Mixture of Regression (FMR) models with a large number of covariates and/or right censoring and heterogeneous structure.
Tags: Bioinformatics, Biostatistics, C++, Cancer, Medical Science, Mixture, Next generation Sequencing, R, Regression, Statistics, lasso, model estimation, model selection, penalized regression, regularization, survival, tuning parameters, variable selection

Activity Percentile: 0
Activity Ranking: 0
Registered: 2016-03-07 02:31

Hyper-g Priors for GAM selection - This R-package implements objective Bayesian model selection with penalised splines, using a so-called hyper-g prior for the parameters in the generalised additive model.
Tags: variable selection, objective Bayes, Bayesian, Classification, generalized linear models, marginal likelihood, model comparison, multiplicity, multivariate, semiparametric model, spline

Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-08-11 09:12

bootstrap penalization - Bootstrap penalization for variable selection with big data
Tags: bootstrap penalization, random lasso, variable selection, biostatistics, block random lasso, block adaptive random lasso, split block random lasso, split block adaptive random lasso
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2016-02-22 15:09

pi0 estimators - Estimation of the proportion of true null hypotheses (pi0) from a large number of hypothesis tests; Non/parametric recovery of noncentrality parameter distribution; False discovary rates (FDR) computation.
Tags: Multiple Comparisons, dissimilarity, distance, high dimentional data, microarray, multidimensional scaling, multiplicity, permutation tests, semiparametric model, spline, variable selection

Activity Percentile: 0
Activity Ranking: 0
Registered: 2010-03-21 02:01

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