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Regression validation
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#	Item
151	Package ‘GAMBoost’ July 2, 2014 Version 1.2-3 Title Generalized linear and additive models by likelihood based boosting Author Harald Binder Maintainer Harald Binder Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:49:39 Model selection Machine learning Ensemble learning Degrees of freedom Proportional hazards models Akaike information criterion Cross-validation Boosting Generalized linear model Statistics Regression analysis Statistical models
152	Package ‘CoxBoost’ July 2, 2014 Version 1.4 Title Cox models by likelihood based boosting for a single survival endpoint or competing risks Author Harald Binder Maintainer Harald Binder Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:38:46 Machine learning Cross-validation Model selection Degrees of freedom Proportional hazards models Gradient boosting Boosting Null Matrix Statistics Regression analysis Ensemble learning
153	Package ‘stepPlr’ July 2, 2014 Version 0.92 Date[removed]Title L2 penalized logistic regression with a stepwise variable selection Author Mee Young Park, Trevor Hastie Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:37:29 Machine learning Categorical data Logistic regression Degrees of freedom Cross-validation Statistics Regression analysis Econometrics
154	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
155	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
156	EPA Document # 815-R[removed]Statistical Protocol for the Determination of the Single-Laboratory Lowest Concentration Minimum Reporting Level (LCMRL) and Validation of Laboratory Performance at or Below the Minimum Repor Add to Reading List Source URL: www.epa.gov Language: English - Date: 2008-06-02 17:03:57 Measurement Econometrics Calibration curve Estimation theory Prediction interval Coefficient of determination Variance Linear regression Least squares Statistics Regression analysis Analytical chemistry
157	partDSA: Deletion/Substitution/Addition Algorithm for Partitioning the Covariate Space in Prediction Annette M. Molinaro Stephen Weston Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 15:58:15 Combinatorics Econometrics Data mining Cross-validation Model selection Partition of a set Disk partitioning Partition Regression analysis Mathematics Statistics Machine learning
158	Oregon Health & Science University Department of Medical Informatics and Clinical Epidemiology BMI[removed]Biological Modeling and Simulation Add to Reading List Source URL: www.ohsu.edu Language: English - Date: 2012-06-22 18:18:33 Science Quantitative analyst Valuation Regression model validation Sensitivity analysis Economic model Statistics Mathematical sciences Regression analysis
159	Ecological Modelling[removed]–90 Support vector machines for predicting distribution of Sudden Oak Death in California Qinghua Guoa,∗ , Maggi Kellya,1 , Catherine H. Grahamb,c a Add to Reading List Source URL: www.suddenoakdeath.org Language: English - Date: 2010-12-20 17:16:44 Regression analysis Machine learning Sudden oak death Species distribution Cross-validation Logistic regression Statistics Statistical classification Support vector machine
160	mboost Illustrations Torsten Hothorn1 and Peter B¨ uhlmann2 1 Institut f¨ Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-02 11:30:58 Linear regression Logistic regression Proportional hazards models Gradient boosting Least squares Boosting Cross-validation Linear least squares Bootstrapping Statistics Regression analysis Akaike information criterion

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