mice: Multivariate Imputation by Chained Equations

Package ‘segmented’ - R

Package ‘segmented’ November 30, 2017 Type Package Title Regression Models with Break-Points / Change-Points Estimation Version 0.5-3.0 Date 2017-11-22

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gap: Genetic Analysis Package - R

2 gap: Genetic Analysis Package from patients su ering with di erent diseases to identify common genetic variations for each condition. It is hoped that by identifying these genetic signposts, researchers will

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Package ‘season’ - R

Package ‘season’ May 20, 2018 Type Package Title Seasonal Analysis of Health Data Version 0.3.6 Author Adrian Barnett and Peter Baker Maintainer Adrian Barnett <a.barnett@qut.edu.au>

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Package ‘medicalrisk’ - The Comprehensive R …

Package ‘medicalrisk’ ... 2016 Type Package Title Medical Risk and Comorbidity Tools for ICD-9-CM Data Version 1.2 Date 2016-01-23 Description Generates risk estimates and comorbidity flags from ICD-9-CM ... Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. Journal of clinical ...

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Package ‘testthat’ - R

Package ‘testthat’ December 13, 2017 Title Unit Testing for R Version 2.0.0 Description Software testing is important, but, in part because it is

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Package ‘forecast’ - The Comprehensive R Archive …

Package ‘forecast’ June 21, 2018 Version 8.4 Title Forecasting Functions for Time Series and Linear Models Description Methods and tools for displaying and analysing

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Package ‘emma’ - R

2 emma-package Index 21 emma-package Designing experiments for process optimization Description The evolutionary model-based multiresponse approach (EMMA) is a procedure for process opti-

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Package ‘WeibullR’ - cran.r-project.org

Power" presentations in Appendix D of "The New Weibull Handbook, Fifth Edition". For validity of a 3rd parameter optimization on a given model over its 2 parameter fit, only the Likelihood Ratio Test will be applied. This validity check requires an LRT-P greater than 50 Value

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Package ‘maps’ - R

Package ‘maps’ April 3, 2018 Title Draw Geographical Maps Version 3.3.0 Date 2018-04-03 Author Original S code by Richard A. Becker and Allan R. Wilks.

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Package ‘psycho’ - The Comprehensive R Archive Network

Package ‘psycho’ September 13, 2018 Type Package Title Efficient and Publishing-Oriented Workflow for Psychological Science Version 0.3.7 Maintainer Dominique Makowski <dom.makowski@gmail.com>

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Classification and Regression by randomForest

randomForest performs unsupervised learning (see below). Currently randomForest does not handle ordinal categorical responses. Note that categorical predictor variables must also be specified as factors (or else they will be wrongly treated as continuous). The randomForest function returns an object of class "randomForest". Details on the ...

  Randomforest

COMPARATIVA Y ANÁLISIS DE ALGORITMOS DE …

RandomForest 59 1.3. La dimensión de los datos y la importancia de su reducción 60 Capítulo 2. El conjunto de datos a tratar 62 2.1. Conceptos a tener en cuenta 62 2.2. Elección del conjunto de datos 63 2.3. ¿De donde procede? 65 2.4. ¿Que características tiene? 65 2.5. ¿Cuales son sus atributos? 66 Capítulo 3.

  Randomforest

User Guide to Collection 6 MODIS Land Cover (MCD12Q1 and ...

These annual metrics were used as inputs to the RandomForest classi er for each layer of the hierarchy. Following supervised classi cation of smoothed NBAR data, a set of post-processing steps that incorpo-rate prior probability knowledge and adjust speci c classes based on ancillary information are applied to the

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≪シンポジウムの部≫ - site.convention.co.jp

30 日本消化器病学会雑誌 第119巻 臨時増刊号 シ ン ポ ジ ウ ム s2-5 異時性・同時性多発膵癌の遺伝子解析 （京都大学医学研究科腫瘍生物学）平野 智紀（ひらの とものり） （京都大学医学部附属病院肝胆膵・移植外科）増井 俊彦

1 RANDOM FORESTS - University of California, Berkeley

2 1. Random Forests 1.1 Introduction Significant improvements in classification accuracy have resulted from growing an ensemble of trees and letting them vote for the most popular class.