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ANOVA Bayesian Bioinformatics Bioinformatics & Biostatistics Biostatistics C++ Cancer Chemoinformatics Classification Clustering Copynumber DNA Ecology Economics Finance GUI Genetic Algorithms Genetics HTML Machine Learning Machine learning Mixture Multiple Comparisons Multivariate Analysis Multivariate Regression Multivariate Techniques Next generation Sequencing ODE Phylogeny R R-Forge Rcmdr Regression SNP Statistics Time series Visualization Whole-genome bioinformatics biostatistics break detection categorical change detection classification clustering community ecology data mining database datasets dissimilarity distance distributions diversity dynamic systems ecological models ecology econometrics economics epidemiology finance gene expression generalized linear models genetics graphics high dimentional data likelihood linear models linear programming machine learning microarray missing data missing values mixed effect models mixed model model comparison model estimation model selection movement multivariate multivariate regression multivariate statistics non-parametrics nonlinear models nonparametric optimization parametric model permutation tests phylogeny plotting political analysis prediction psychology raster regression remote sensing reporting robust robust statistics simulation soil spatial spatial autocorrelation spatial classes spatial data spatial methods spatial point patterns spatial regression spatio-temporal species distribution models survival teaching text mining time series visualization

5 projects in result set.
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

Multilevel frailty models - Semiparametric proportional hazard models with K random effects, estimated via the EM-PL algorithm (Horny, 2009)
Tags: biostatistics, clustering, dependence, economics, event histories, event sequence, finance, frailty models, longitudinal data, mixed effect models, mixed model, model estimation, multicenter, multivariate, heterogeneity, overdispersion, survival, semiparametric model

Activity Percentile: 0
Activity Ranking: 0
Registered: 2012-04-30 07:14

Multivariate Functional Regression - Estimation of functional regression with multiple functionnal regressors and optimal selection of the smoothing parameters and the number of basis. It also includes the treatment of strictly positive functional data.
Tags: dynamic systems, multivariate, nonparametric, semiparametric model

Activity Percentile: 0
Activity Ranking: 0
Registered: 2016-06-10 21:14

R functions for functional data analysis - The ‘fda’ package includes functions and data sets for functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis (Springer) and (2002), Applied Functional Data Analysis (Springer).
Tags: fda, nonparametric, differential equations, dynamic systems, multivariate, semiparametric model

Activity Percentile: 0
Activity Ranking: 0
Registered: 2008-01-18 03:15

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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