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Model selection
Results: 1077

#	Item
681	Package ‘KsPlot’ July 2, 2014 Type Package Title Check the power of seveal statistical models. Version 1.3 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:57:46 Cross-validation Machine learning Model selection Logistic regression Linear regression Artificial neuron Statistics Regression analysis Econometrics
682	Package ‘penalizedSVM’ July 2, 2014 Type Package Title Feature Selection SVM using penalty functions Version 1.1 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:00:19 Support vector machine Model selection Stability Regression analysis Training set Feature selection Statistics Statistical classification Machine learning
683	Package ‘autopls’ July 2, 2014 Version[removed]Date[removed]Title pls regression with backward selection of predictors Author Sebastian Schmidtlein, with contributions from Carsten Oldenburg and Hannes Feilhauer Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:17:24 Regression model validation Partial least squares regression Resampling Linear regression Model selection Statistics Regression analysis Cross-validation
684	Beta-blockers - Discrete Mixture Models February 8, 2012 The data set ”betablockers” is loaded from the package ”flexmix”. > library(flexmix) > data(betablocker) Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-11 11:39:44 Categorical data Model selection R Logistic regression Akaike information criterion Deviance Errors and residuals in statistics P-value Statistics Regression analysis Hypothesis testing
685	Introduction to the surface package Travis Ingram This tutorial walks through the steps of a SURFACE analysis using a simple demonstration data set. The main use of SURFACE is to construct a macroevolutionary adaptive la Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:39:21 AICC Mathematics Model selection Akaike information criterion Algorithm
686	Evolutionary genetics: the Drosophila model Preface Evolutionary genetics straddles the two fundamental processes of life, development (the transition from egg to adult) and reproduction (the generation of eggs from adul Add to Reading List Source URL: www.ias.ac.in Language: English - Date: 2004-05-12 08:35:24 Philosophy of biology Population genetics Natural selection Richard Lewontin Evolution Quantitative genetics Genomics Drosophila Polymorphism Biology Evolutionary biology Genetics
687	Package ‘rminer’ November 7, 2014 Type Package Title Data Mining Classification and Regression Methods Version 1.4 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-11-07 08:06:12 Econometrics Data analysis Model selection Multivariate adaptive regression splines Training set K-nearest neighbor algorithm Logistic regression Linear regression Support vector machine Statistics Machine learning Regression analysis
688	Package ‘surface’ July 2, 2014 Type Package Title Fitting Hansen Models to Investigate Convergent Evolution Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:39:21 Akaike information criterion Model selection Phylogenetic tree Economic model AICC Brownian motion Aviation Industry Computer-Based Training Committee Macroeconomic model Evolution Statistics Phylogenetics Science
689	Package ‘texreg’ November 1, 2014 Version 1.34 Date[removed]Title Conversion of R regression output to LaTeX or HTML tables. Author Philip Leifeld Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-31 19:44:42 Econometrics Biostatistics Measurement Boolean algebra Akaike information criterion Model selection Confidence interval Economic model Boolean data type Statistics Information Science
690	Information-theoretic Learning and Data Mining Kenji Yamanishi The University of Tokyo, JAPAN Oct. 18th, 2009 Add to Reading List Source URL: www.jst.go.jp Language: English - Date: 2010-11-01 01:10:41 Statistical models Data analysis Minimum description length Anomaly detection Akaike information criterion Information theory Model selection Statistics Formal sciences Data mining

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