Mon, 15 May 2017

Package DynTxRegime updated to version 3.0 with previous version 2.1 dated 2015-06-11

Title: Methods for Estimating Optimal Dynamic Treatment Regimes
Description: Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted Estimators and Inverse Probability Weighted Estimators.
Author: S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>

Diff between DynTxRegime versions 2.1 dated 2015-06-11 and 3.0 dated 2017-05-15

 DynTxRegime-2.1/DynTxRegime/R/1Generics.R                                           |only
 DynTxRegime-2.1/DynTxRegime/R/A01Classes.R                                          |only
 DynTxRegime-2.1/DynTxRegime/R/A02Classes_TxInfo.R                                   |only
 DynTxRegime-2.1/DynTxRegime/R/A03Classes_ModelObjSubset.R                           |only
 DynTxRegime-2.1/DynTxRegime/R/A04Classes_SimpleFit.R                                |only
 DynTxRegime-2.1/DynTxRegime/R/A05Classes_IterateFit.R                               |only
 DynTxRegime-2.1/DynTxRegime/R/A06Classes_IQLearn.R                                  |only
 DynTxRegime-2.1/DynTxRegime/R/A07Classes_SubsetFit.R                                |only
 DynTxRegime-2.1/DynTxRegime/R/A08Classes_QLearn.R                                   |only
 DynTxRegime-2.1/DynTxRegime/R/A09Classes_OtherFits.R                                |only
 DynTxRegime-2.1/DynTxRegime/R/A10Classes_OptimalSeq.R                               |only
 DynTxRegime-2.1/DynTxRegime/R/A11Classes_OptimalClass.R                             |only
 DynTxRegime-2.1/DynTxRegime/R/eliminateSingleTx.R                                   |only
 DynTxRegime-2.1/DynTxRegime/R/fitCombined.R                                         |only
 DynTxRegime-2.1/DynTxRegime/R/fitIterate.R                                          |only
 DynTxRegime-2.1/DynTxRegime/R/fitPropen.R                                           |only
 DynTxRegime-2.1/DynTxRegime/R/fitUtilities.R                                        |only
 DynTxRegime-2.1/DynTxRegime/R/iqEst.R                                               |only
 DynTxRegime-2.1/DynTxRegime/R/iqLearn_optTx1.R                                      |only
 DynTxRegime-2.1/DynTxRegime/R/iqLearn_pm.R                                          |only
 DynTxRegime-2.1/DynTxRegime/R/methods-DynTxRegime.R                                 |only
 DynTxRegime-2.1/DynTxRegime/R/methods-qFuncs.R                                      |only
 DynTxRegime-2.1/DynTxRegime/R/modelObjSubset.R                                      |only
 DynTxRegime-2.1/DynTxRegime/R/optimalClass_AIPWE.R                                  |only
 DynTxRegime-2.1/DynTxRegime/R/optimalClass_IPWE.R                                   |only
 DynTxRegime-2.1/DynTxRegime/R/optimalClass_classification.R                         |only
 DynTxRegime-2.1/DynTxRegime/R/optimalCore.R                                         |only
 DynTxRegime-2.1/DynTxRegime/R/optimalSeq_AIPWE.R                                    |only
 DynTxRegime-2.1/DynTxRegime/R/optimalSeq_IPWE.R                                     |only
 DynTxRegime-2.1/DynTxRegime/R/qLearnEst.R                                           |only
 DynTxRegime-2.1/DynTxRegime/R/qLearn_optTx_testSet.R                                |only
 DynTxRegime-2.1/DynTxRegime/R/txUtilities.R                                         |only
 DynTxRegime-2.1/DynTxRegime/man/class-DynTxRegime.Rd                                |only
 DynTxRegime-2.1/DynTxRegime/man/methods-ValueFuncs.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/DESCRIPTION                                             |   17 
 DynTxRegime-3.0/DynTxRegime/MD5                                                     |  318 +++
 DynTxRegime-3.0/DynTxRegime/NAMESPACE                                               |   19 
 DynTxRegime-3.0/DynTxRegime/R/A00_DynTxRegime.R                                     |only
 DynTxRegime-3.0/DynTxRegime/R/A01_List.R                                            |only
 DynTxRegime-3.0/DynTxRegime/R/A02_SubsetList.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/A03_DecisionPointList.R                               |only
 DynTxRegime-3.0/DynTxRegime/R/A04_ModelObjSubset.R                                  |only
 DynTxRegime-3.0/DynTxRegime/R/A05_ModelObj_SubsetList.R                             |only
 DynTxRegime-3.0/DynTxRegime/R/A06_ModelObj_DecisionPointList.R                      |only
 DynTxRegime-3.0/DynTxRegime/R/A07_ModelObj_SubsetList_DecisionPointList.R           |only
 DynTxRegime-3.0/DynTxRegime/R/A08_newModelObjSubset.R                               |only
 DynTxRegime-3.0/DynTxRegime/R/AA00_TxInfoBasic.R                                    |only
 DynTxRegime-3.0/DynTxRegime/R/AA01_TxInfoFactor.R                                   |only
 DynTxRegime-3.0/DynTxRegime/R/AA02_TxInfoInteger.R                                  |only
 DynTxRegime-3.0/DynTxRegime/R/AA03_TxInfoNoSubsets.R                                |only
 DynTxRegime-3.0/DynTxRegime/R/AA04_TxInfoFactorNoSubsets.R                          |only
 DynTxRegime-3.0/DynTxRegime/R/AA05_TxInfoIntegerNoSubsets.R                         |only
 DynTxRegime-3.0/DynTxRegime/R/AA06_newTxInfoNoSubsets.R                             |only
 DynTxRegime-3.0/DynTxRegime/R/AA07_TxInfoWithSubsets.R                              |only
 DynTxRegime-3.0/DynTxRegime/R/AA08_TxSubset.R                                       |only
 DynTxRegime-3.0/DynTxRegime/R/AA09_TxInfoFactorWithSubsets.R                        |only
 DynTxRegime-3.0/DynTxRegime/R/AA10_TxInfoIntegerWithSubsets.R                       |only
 DynTxRegime-3.0/DynTxRegime/R/AA11_newTxInfoWithSubsets.R                           |only
 DynTxRegime-3.0/DynTxRegime/R/AA12_TxInfoList.R                                     |only
 DynTxRegime-3.0/DynTxRegime/R/AA13_newTxInfo.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/AB00_TypedSimpleFit.R                                 |only
 DynTxRegime-3.0/DynTxRegime/R/AB01_TypedSimpleFitNoSubsets.R                        |only
 DynTxRegime-3.0/DynTxRegime/R/AB02_TypedSimpleFitWithSubsets.R                      |only
 DynTxRegime-3.0/DynTxRegime/R/AB03_newTypedSimpleFit.R                              |only
 DynTxRegime-3.0/DynTxRegime/R/AB04_IterateFit.R                                     |only
 DynTxRegime-3.0/DynTxRegime/R/AB05_IterateFitNoSubsets.R                            |only
 DynTxRegime-3.0/DynTxRegime/R/AB06_IterateFitWithSubsets.R                          |only
 DynTxRegime-3.0/DynTxRegime/R/AB07_newIterateFit.R                                  |only
 DynTxRegime-3.0/DynTxRegime/R/AB08_SubsetListFit.R                                  |only
 DynTxRegime-3.0/DynTxRegime/R/AB09_OutcomeRegression_DecisionPointList.R            |only
 DynTxRegime-3.0/DynTxRegime/R/AB10_OutcomeRegression_SubsetList_DecisionPointList.R |only
 DynTxRegime-3.0/DynTxRegime/R/AB11_newOutcomeRegression.R                           |only
 DynTxRegime-3.0/DynTxRegime/R/AB12_OutcomeOnly.R                                    |only
 DynTxRegime-3.0/DynTxRegime/R/AC01_PropensityFit.R                                  |only
 DynTxRegime-3.0/DynTxRegime/R/AC02_PropensityFit_fSet.R                             |only
 DynTxRegime-3.0/DynTxRegime/R/AC03_PropensityFit_SubsetList.R                       |only
 DynTxRegime-3.0/DynTxRegime/R/AC04_PropensityFit_DecisionPointList.R                |only
 DynTxRegime-3.0/DynTxRegime/R/AC05_PropensityFit_SubsetList_DecisionPointList.R     |only
 DynTxRegime-3.0/DynTxRegime/R/AC06_newPropensityRegression.R                        |only
 DynTxRegime-3.0/DynTxRegime/R/AC07_PropensityOnly.R                                 |only
 DynTxRegime-3.0/DynTxRegime/R/AC08_PropensityAndOutcome.R                           |only
 DynTxRegime-3.0/DynTxRegime/R/AD01_Regime.R                                         |only
 DynTxRegime-3.0/DynTxRegime/R/AD02_Regime_DecisionPointList.R                       |only
 DynTxRegime-3.0/DynTxRegime/R/AD03_newRegimes.R                                     |only
 DynTxRegime-3.0/DynTxRegime/R/AE01_CVInfo.R                                         |only
 DynTxRegime-3.0/DynTxRegime/R/AE02_newCVInfo.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/AF01_QLearn.R                                         |only
 DynTxRegime-3.0/DynTxRegime/R/AF02_newQLearn.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/AF03_IQLearnBase.R                                    |only
 DynTxRegime-3.0/DynTxRegime/R/AF04_IQLearnSS.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/AF05_IQLearnFS.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/AF06_IQLearnFS_ME.R                                   |only
 DynTxRegime-3.0/DynTxRegime/R/AF07_IQLearnFS_C.R                                    |only
 DynTxRegime-3.0/DynTxRegime/R/AF08_IQLearnFS_VHet.R                                 |only
 DynTxRegime-3.0/DynTxRegime/R/AG00_OptimBasic.R                                     |only
 DynTxRegime-3.0/DynTxRegime/R/AG01_OptimKernel.R                                    |only
 DynTxRegime-3.0/DynTxRegime/R/AG02_OWLOptim.R                                       |only
 DynTxRegime-3.0/DynTxRegime/R/AG03_OWL.R                                            |only
 DynTxRegime-3.0/DynTxRegime/R/AH01_OptimalClass.R                                   |only
 DynTxRegime-3.0/DynTxRegime/R/AH02_OptimalClassIPWE.R                               |only
 DynTxRegime-3.0/DynTxRegime/R/AH03_OptimalClassAIPWE.R                              |only
 DynTxRegime-3.0/DynTxRegime/R/AH04_newOptimalClass.R                                |only
 DynTxRegime-3.0/DynTxRegime/R/AI01_OptimalSeq.R                                     |only
 DynTxRegime-3.0/DynTxRegime/R/AI02_OptimalSeqIPWE_SDP.R                             |only
 DynTxRegime-3.0/DynTxRegime/R/AI03_OptimalSeqAIPWE_SDP.R                            |only
 DynTxRegime-3.0/DynTxRegime/R/AI04_OptimalSeqIPWE_MDP.R                             |only
 DynTxRegime-3.0/DynTxRegime/R/AI05_OptimalSeqAIPWE_MDP.R                            |only
 DynTxRegime-3.0/DynTxRegime/R/AI06_newOptimalSeq.R                                  |only
 DynTxRegime-3.0/DynTxRegime/R/AJ01_EARLOptim.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/AJ02_EARL.R                                           |only
 DynTxRegime-3.0/DynTxRegime/R/AJ03_EARLIPWE.R                                       |only
 DynTxRegime-3.0/DynTxRegime/R/AJ04_EARLAIPWE.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/AJ05_newEARL.R                                        |only
 DynTxRegime-3.0/DynTxRegime/R/AK01_RWLOptim.R                                       |only
 DynTxRegime-3.0/DynTxRegime/R/AK02_RWL.R                                            |only
 DynTxRegime-3.0/DynTxRegime/R/AL01_BOWLBasic.R                                      |only
 DynTxRegime-3.0/DynTxRegime/R/AL02_BOWLBasic_fSet.R                                 |only
 DynTxRegime-3.0/DynTxRegime/R/AL03_BOWLWithOneRegime.R                              |only
 DynTxRegime-3.0/DynTxRegime/R/AL04_BOWLWithSubsetRegimes.R                          |only
 DynTxRegime-3.0/DynTxRegime/R/AL05_BOWL.R                                           |only
 DynTxRegime-3.0/DynTxRegime/R/AL06_newBOWL.R                                        |only
 DynTxRegime-3.0/DynTxRegime/R/BOWL.R                                                |only
 DynTxRegime-3.0/DynTxRegime/R/EARL.R                                                |only
 DynTxRegime-3.0/DynTxRegime/R/OWL.R                                                 |only
 DynTxRegime-3.0/DynTxRegime/R/RWL.R                                                 |only
 DynTxRegime-3.0/DynTxRegime/R/checkInputs.R                                         |only
 DynTxRegime-3.0/DynTxRegime/R/errors.R                                              |   16 
 DynTxRegime-3.0/DynTxRegime/R/getFeasibleTx.R                                       |only
 DynTxRegime-3.0/DynTxRegime/R/iqLearnFSC.R                                          |  317 +--
 DynTxRegime-3.0/DynTxRegime/R/iqLearnFSM.R                                          |  320 +--
 DynTxRegime-3.0/DynTxRegime/R/iqLearnSS.R                                           |  330 +---
 DynTxRegime-3.0/DynTxRegime/R/iqLearnVar.R                                          |  388 +---
 DynTxRegime-3.0/DynTxRegime/R/kernelFunc.R                                          |only
 DynTxRegime-3.0/DynTxRegime/R/optimalClass.R                                        |  400 ++--
 DynTxRegime-3.0/DynTxRegime/R/optimalSeq.R                                          |  808 +++-------
 DynTxRegime-3.0/DynTxRegime/R/plugInValue.R                                         |   46 
 DynTxRegime-3.0/DynTxRegime/R/qLearn.R                                              |  427 +----
 DynTxRegime-3.0/DynTxRegime/R/titleIt.R                                             |only
 DynTxRegime-3.0/DynTxRegime/man/BOWL-class.Rd                                       |only
 DynTxRegime-3.0/DynTxRegime/man/BOWL.Rd                                             |only
 DynTxRegime-3.0/DynTxRegime/man/BOWLBasic_fSet-class.Rd                             |only
 DynTxRegime-3.0/DynTxRegime/man/BOWLBinary-class.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/BOWLObj-class.Rd                                    |only
 DynTxRegime-3.0/DynTxRegime/man/BOWLWithOneRegime-class.Rd                          |only
 DynTxRegime-3.0/DynTxRegime/man/BOWLWithSubsetRegimes-class.Rd                      |only
 DynTxRegime-3.0/DynTxRegime/man/CVInfo-class.Rd                                     |only
 DynTxRegime-3.0/DynTxRegime/man/CVInfo1Par-class.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/CVInfo2Par-class.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/DecisionPointList-class.Rd                          |only
 DynTxRegime-3.0/DynTxRegime/man/DynTxRegime-class.Rd                                |only
 DynTxRegime-3.0/DynTxRegime/man/DynTxRegime-internal-api.Rd                         |  196 ++
 DynTxRegime-3.0/DynTxRegime/man/DynTxRegime-package.Rd                              |   60 
 DynTxRegime-3.0/DynTxRegime/man/EARL-class.Rd                                       |only
 DynTxRegime-3.0/DynTxRegime/man/EARL.Rd                                             |only
 DynTxRegime-3.0/DynTxRegime/man/EARLAIPWE-class.Rd                                  |only
 DynTxRegime-3.0/DynTxRegime/man/EARLIPWE-class.Rd                                   |only
 DynTxRegime-3.0/DynTxRegime/man/EARLOptim-class.Rd                                  |only
 DynTxRegime-3.0/DynTxRegime/man/IQLearnBase-class.Rd                                |only
 DynTxRegime-3.0/DynTxRegime/man/IQLearnFS-class.Rd                                  |only
 DynTxRegime-3.0/DynTxRegime/man/IQLearnFS_C-class.Rd                                |only
 DynTxRegime-3.0/DynTxRegime/man/IQLearnFS_ME-class.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/IQLearnFS_VHet-class.Rd                             |only
 DynTxRegime-3.0/DynTxRegime/man/IQLearnSS-class.Rd                                  |only
 DynTxRegime-3.0/DynTxRegime/man/IterateFit-class.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/IterateFitNoSubsets-class.Rd                        |only
 DynTxRegime-3.0/DynTxRegime/man/IterateFitWithSubsets-class.Rd                      |only
 DynTxRegime-3.0/DynTxRegime/man/List-class.Rd                                       |only
 DynTxRegime-3.0/DynTxRegime/man/ModelObjSubset-class.Rd                             |only
 DynTxRegime-3.0/DynTxRegime/man/ModelObj_DecisionPointList-class.Rd                 |only
 DynTxRegime-3.0/DynTxRegime/man/ModelObj_SubsetList-class.Rd                        |only
 DynTxRegime-3.0/DynTxRegime/man/ModelObj_SubsetList_DecisionPointList-class.Rd      |only
 DynTxRegime-3.0/DynTxRegime/man/MultipleDecisionPoint-class.Rd                      |only
 DynTxRegime-3.0/DynTxRegime/man/OWL-class.Rd                                        |only
 DynTxRegime-3.0/DynTxRegime/man/OWL.Rd                                              |only
 DynTxRegime-3.0/DynTxRegime/man/OWLOptim-class.Rd                                   |only
 DynTxRegime-3.0/DynTxRegime/man/OptimBasic-class.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/OptimKernel-class.Rd                                |only
 DynTxRegime-3.0/DynTxRegime/man/OptimalClass-class.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/OptimalClassAIPWE-class.Rd                          |only
 DynTxRegime-3.0/DynTxRegime/man/OptimalClassIPWE-class.Rd                           |only
 DynTxRegime-3.0/DynTxRegime/man/OptimalSeq-class.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/OptimalSeqAIPWE_MDP-class.Rd                        |only
 DynTxRegime-3.0/DynTxRegime/man/OptimalSeqAIPWE_SDP-class.Rd                        |only
 DynTxRegime-3.0/DynTxRegime/man/OptimalSeqIPWE_MDP.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/OptimalSeqIPWE_SDP.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/OutcomeOnly-class.Rd                                |only
 DynTxRegime-3.0/DynTxRegime/man/OutcomeRegression-class.Rd                          |only
 DynTxRegime-3.0/DynTxRegime/man/OutcomeRegression_DecisionPointList-class.Rd        |only
 DynTxRegime-3.0/DynTxRegime/man/PropensityAndOutcome-class.Rd                       |only
 DynTxRegime-3.0/DynTxRegime/man/PropensityFit-class.Rd                              |only
 DynTxRegime-3.0/DynTxRegime/man/PropensityFit_DecisionPointList-class.Rd            |only
 DynTxRegime-3.0/DynTxRegime/man/PropensityFit_SubsetList-class.Rd                   |only
 DynTxRegime-3.0/DynTxRegime/man/PropensityFit_SubsetList_DecisionPointList-class.Rd |only
 DynTxRegime-3.0/DynTxRegime/man/PropensityFit_fSet-class.Rd                         |only
 DynTxRegime-3.0/DynTxRegime/man/PropensityOnly-class.Rd                             |only
 DynTxRegime-3.0/DynTxRegime/man/PropensityRegression-class.Rd                       |only
 DynTxRegime-3.0/DynTxRegime/man/QLearn-class.Rd                                     |only
 DynTxRegime-3.0/DynTxRegime/man/RWL-class.Rd                                        |only
 DynTxRegime-3.0/DynTxRegime/man/RWL.Rd                                              |only
 DynTxRegime-3.0/DynTxRegime/man/RWLOptim-class.Rd                                   |only
 DynTxRegime-3.0/DynTxRegime/man/Regime-class.Rd                                     |only
 DynTxRegime-3.0/DynTxRegime/man/RegimeObject-class.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/Regime_DecisionPointList-class.Rd                   |only
 DynTxRegime-3.0/DynTxRegime/man/SingleDecisionPoint-class.Rd                        |only
 DynTxRegime-3.0/DynTxRegime/man/SubsetList-class.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/SubsetListFit-class.Rd                              |only
 DynTxRegime-3.0/DynTxRegime/man/SubsetListFit_DecisionPointList-class.Rd            |only
 DynTxRegime-3.0/DynTxRegime/man/SubsetsModeled-class.Rd                             |only
 DynTxRegime-3.0/DynTxRegime/man/SubsetsNotModeled-class.Rd                          |only
 DynTxRegime-3.0/DynTxRegime/man/TxInfoBasic-class.Rd                                |only
 DynTxRegime-3.0/DynTxRegime/man/TxInfoFactor-class.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/TxInfoFactorWithSubsets-class.Rd                    |only
 DynTxRegime-3.0/DynTxRegime/man/TxInfoInteger-class.Rd                              |only
 DynTxRegime-3.0/DynTxRegime/man/TxInfoIntegerWithSubsets-class.Rd                   |only
 DynTxRegime-3.0/DynTxRegime/man/TxInfoList-class.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/TxInfoNoSubsets-class.Rd                            |only
 DynTxRegime-3.0/DynTxRegime/man/TxInfoWithSubsets-class.Rd                          |only
 DynTxRegime-3.0/DynTxRegime/man/TxSubset-class.Rd                                   |only
 DynTxRegime-3.0/DynTxRegime/man/TypedSimpleFit-class.Rd                             |only
 DynTxRegime-3.0/DynTxRegime/man/TypedSimpleFitNoSubsets-class.Rd                    |only
 DynTxRegime-3.0/DynTxRegime/man/TypedSimpleFitWithSubsets-class.Rd                  |only
 DynTxRegime-3.0/DynTxRegime/man/bmiData.Rd                                          |    3 
 DynTxRegime-3.0/DynTxRegime/man/buildModelObjSubset.Rd                              |  212 +-
 DynTxRegime-3.0/DynTxRegime/man/input_fSet.Rd                                       |only
 DynTxRegime-3.0/DynTxRegime/man/input_iter.Rd                                       |only
 DynTxRegime-3.0/DynTxRegime/man/input_moPropen.Rd                                   |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newBOWL.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newBOWLBasic.Rd                            |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newBOWLOptimization.Rd                     |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newCVInfo.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newEARL.Rd                                 |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newIQLearnFS_C.Rd                          |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newIQLearnFS_ME.Rd                         |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newIQLearnFS_VHet.Rd                       |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newIQLearnSS.Rd                            |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newIterateFit.Rd                           |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newModelObjSubset.Rd                       |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newOWL.Rd                                  |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newOWLOptim.Rd                             |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newOptimalClass.Rd                         |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newOptimalSeq.Rd                           |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newOutcomeRegression.Rd                    |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newPropensityFit.Rd                        |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newQLearn.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newRWL.Rd                                  |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newRegime.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newTxInfo.Rd                               |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newTxInfoNoSubsets.Rd                      |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newTxInfoWithSubsets.Rd                    |only
 DynTxRegime-3.0/DynTxRegime/man/internal_newTypedSimpleFit.Rd                       |only
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Package crminer updated to version 0.1.2 with previous version 0.1.0 dated 2017-04-27

Title: Fetch 'Scholary' Full Text from 'Crossref'
Description: Text mining client for 'Crossref' (<https://crossref.org>). Includes functions for getting getting links to full text of articles, fetching full text articles from those links or Digital Object Identifiers ('DOIs'), and text extraction from 'PDFs'.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

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Package zooaRchGUI updated to version 1.0.1 with previous version 1.0.0 dated 2017-05-11

Title: Analytical Tools for Zooarchaeological Data
Description: The analysis and inference of faunal remains recovered from archaeological sites concerns the field of zooarchaeology. The zooaRch package provides analytical tools to make inferences on zooarchaeological data. Functions in this package allow users to read, manipulate, visualize, and analyze zooarchaeological data.
Author: Erik Otarola-Castillo, Jesse Wolfhagen, John Brian Rapes, and Max D. Price
Maintainer: Erik Otarola-Castillo <eoc@purdue.edu>

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Package dataRetrieval updated to version 2.7.0 with previous version 2.6.3 dated 2016-12-07

Title: Retrieval Functions for USGS and EPA Hydrologic and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey (USGS) and U.S. Environmental Protection Agency (EPA) water quality and hydrology data from web services. USGS web services are discovered from National Water Information System (NWIS) <https://waterservices.usgs.gov/> and <https://waterdata.usgs.gov/nwis>. Both EPA and USGS water quality data are obtained from the Water Quality Portal <https://www.waterqualitydata.us/>.
Author: Robert Hirsch [aut], Laura DeCicco [aut, cre], David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Carr [ctb], David Watkins [aut]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package coreSim updated to version 0.2.4 with previous version 0.2.3 dated 2016-12-09

Title: Core Functionality for Simulating Quantities of Interest from Generalised Linear Models
Description: Core functions for simulating quantities of interest from generalised linear models (GLM). This package will form the backbone of a series of other packages that improve the interpretation of GLM estimates.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between coreSim versions 0.2.3 dated 2016-12-09 and 0.2.4 dated 2017-05-15

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Package simPH updated to version 1.3.10 with previous version 1.3.9 dated 2016-05-19

Title: Tools for Simulating and Plotting Quantities of Interest Estimated from Cox Proportional Hazards Models
Description: Simulates and plots quantities of interest (relative hazards, first differences, and hazard ratios) for linear coefficients, multiplicative interactions, polynomials, penalised splines, and non-proportional hazards, as well as stratified survival curves from Cox Proportional Hazard models. It also simulates and plots marginal effects for multiplicative interactions.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between simPH versions 1.3.9 dated 2016-05-19 and 1.3.10 dated 2017-05-15

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Package RBPcurve updated to version 1.2 with previous version 1.1 dated 2017-01-09

Title: The Residual-Based Predictiveness Curve
Description: The RBP curve is a visual tool to assess the performance of prediction models.
Author: Giuseppe Casalicchio, Bernd Bischl
Maintainer: Giuseppe Casalicchio <giuseppe.casalicchio@stat.uni-muenchen.de>

Diff between RBPcurve versions 1.1 dated 2017-01-09 and 1.2 dated 2017-05-15

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Package fourierin updated to version 0.2.2 with previous version 0.2.1 dated 2017-04-26

Title: Computes Numeric Fourier Integrals
Description: Computes Fourier integrals of functions of one and two variables using the Fast Fourier transform. The Fourier transforms must be evaluated on a regular grid.
Author: Guillermo Basulto-Elias
Maintainer: Guillermo Basulto-Elias <guillermobasulto@gmail.com>

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Package vardpoor updated to version 0.9.2 with previous version 0.9.0 dated 2017-03-21

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearisation of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

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Package striprtf updated to version 0.4.4 with previous version 0.4.3 dated 2017-05-15

Title: Extract Text from RTF File
Description: Extracts plain text from RTF (Rich Text Format) file.
Author: Kota Mori [aut, cre]
Maintainer: Kota Mori <kmori05@gmail.com>

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 tests/testthat/abiword.rtf            |  130 ++--
 tests/testthat/big-with-table.rtf     |  942 +++++++++++++++++-----------------
 tests/testthat/big.rtf                |  826 ++++++++++++++---------------
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 tests/testthat/cp932.rtf              |  438 +++++++--------
 tests/testthat/eastasia.ans           |    8 
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 tests/testthat/europe.ans             |   42 -
 tests/testthat/europe.rtf             |  516 +++++++++---------
 tests/testthat/hoge/test-read.R       |  146 ++---
 tests/testthat/hoge/test-strip.R      |  144 ++---
 tests/testthat/hoge/test-table.R      |  148 ++---
 tests/testthat/libre.ans              |    8 
 tests/testthat/libre.rtf              |  128 ++--
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 tests/testthat/table.rtf              |   46 -
 tests/testthat/test-read.R            |  144 ++---
 tests/testthat/test-strip.R           |  144 ++---
 tests/testthat/test-table.R           |  148 ++---
 42 files changed, 3946 insertions(+), 3939 deletions(-)

More information about striprtf at CRAN
Permanent link

Package rrepast updated to version 0.6.0 with previous version 0.5.0 dated 2016-05-08

Title: Invoke 'Repast Simphony' Simulation Models
Description: An R and Repast integration tool for running individual-based (IbM) simulation models developed using 'Repast Simphony' Agent-Based framework directly from R code. This package integrates 'Repast Simphony' models within R environment, making easier the tasks of running and analyzing model output data for automated parameter calibration and for carrying out uncertainty and sensitivity analysis using the power of R environment.
Author: Antonio Prestes Garcia [aut, cre], Alfonso Rodriguez-Paton [aut, ths]
Maintainer: Antonio Prestes Garcia <antonio.pgarcia@alumnos.upm.es>

Diff between rrepast versions 0.5.0 dated 2016-05-08 and 0.6.0 dated 2017-05-15

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Package padr updated to version 0.3.0 with previous version 0.2.1 dated 2017-02-19

Title: Quickly Get Datetime Data Ready for Analysis
Description: Transforms datetime data into a format ready for analysis. It offers two functionalities; aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad). It also offers a few functions that assist with filling missing values after padding.
Author: Edwin Thoen
Maintainer: Edwin Thoen <edwinthoen@gmail.com>

Diff between padr versions 0.2.1 dated 2017-02-19 and 0.3.0 dated 2017-05-15

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 NAMESPACE                                 |    1 
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Package asymmetry updated to version 1.2.1 with previous version 1.2 dated 2017-02-16

Title: Visualizing Asymmetric Data
Description: Models and methods for the visualization for asymmetric data. A matrix is asymmetric if the number of rows equals the number of columns, and these rows and columns refer to the same set of objects. An example is a student migration table, where the rows correspond to the countries of origin of the students and the columns to the destination countries. This package provides the slide-vector model and the asymscal model for asymmetric multidimensional scaling. Furthermore, a heat map for skew-symmetric data, and the decomposition of asymmetry are provided for the analysis of asymmetric tables.
Author: Berrie Zielman
Maintainer: Berrie Zielman <berrie.zielman@gmail.com>

Diff between asymmetry versions 1.2 dated 2017-02-16 and 1.2.1 dated 2017-05-15

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 build/partial.rdb       |binary
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 man/asymscalexample.rd  |    4 ----
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 man/studentmigration.Rd |    4 ++--
 vignettes/asymmetry.Rmd |    4 ++--
 11 files changed, 64 insertions(+), 67 deletions(-)

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Package tidyr updated to version 0.6.3 with previous version 0.6.2 dated 2017-05-04

Title: Easily Tidy Data with 'spread()' and 'gather()' Functions
Description: An evolution of 'reshape2'. It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between tidyr versions 0.6.2 dated 2017-05-04 and 0.6.3 dated 2017-05-15

 DESCRIPTION                   |    6 +++---
 MD5                           |    8 ++++----
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Package StatCharrms updated to version 0.90.2 with previous version 0.90.1 dated 2017-05-08

Title: Statistical Analysis of Chemistry, Histopathology, and Reproduction Endpoints Including Repeated Measures and Multi-Generation Studies
Description: A front end for the statistical analyses involved in the tier II endocrine disruptor screening program. The analyses available to this package are: Rao-Scott adjusted Cochran-Armitage test for trend By Slices (RSCABS), a Standard Cochran-Armitage test for trend By Slices (SCABS), mixed effects Cox proportional model, Jonckheere-Terpstra step down trend test Dunn test, one way ANOVA, weighted ANOVA, mixed effects ANOVA, repeated measures ANOVA, and Dunnett test.
Author: Joe Swintek [aut, cre], Kevin Flynn [ctb], Jon Haselman [ctb]
Maintainer: Joe Swintek <swintek.joe@epa.gov>

Diff between StatCharrms versions 0.90.1 dated 2017-05-08 and 0.90.2 dated 2017-05-15

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 StatCharrms-0.90.2/StatCharrms/vignettes/StatCharrms.tex |   26 +++++++--------
 8 files changed, 48 insertions(+), 50 deletions(-)

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New package HURDAT with initial version 0.1.0
Package: HURDAT
Type: Package
Title: Hurricane Re-Analysis Project
Version: 0.1.0
Authors@R: c( person("Tim", "Trice", email = "tim.trice@gmail.com", role = c("aut", "cre")), person("Chris", "Landsea", email = "Chris.Landsea@noaa.gov", role = c("aut", "dtc")))
Depends: R (>= 3.4.0)
Description: Scraped dataset of the Hurricane Research Division's Hurricane Re-Analysis Project known as HURDAT. Storm details are available for most known hurricanes and tropical storms for the Atlantic and northeastern Pacific ocean (northwestern hemisphere). See <http://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html> for more information.
URL: https://github.com/timtrice/HURDAT
BugReports: https://github.com/timtrice/HURDAT/issues
License: MIT + file LICENSE
LazyData: TRUE
Imports: dplyr (>= 0.5.0), lubridate (>= 1.6.0), magrittr (>= 1.5), purrr (>= 0.2.2), readr (>= 1.1.0), stringr (>= 1.2.0), tibble (>= 1.2), tidyr (>= 0.6.2)
Suggests: devtools, knitr, testthat, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-15 16:57:41 UTC; timtrice
Author: Tim Trice [aut, cre], Chris Landsea [aut, dtc]
Maintainer: Tim Trice <tim.trice@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-15 17:36:47 UTC

More information about HURDAT at CRAN
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Package LabourMarketAreas updated to version 3.0 with previous version 2.0 dated 2016-10-03

Title: Identification, Tuning, Visualisation and Analysis of Labour Market Areas
Description: Produces Labour Market Areas from commuting flows available at elementary territorial units. It provides tools for automatic tuning based on spatial contiguity. It also allows for statistical analyses and visualisation of the new functional geography.
Author: Daniela Ichim, Luisa Franconi, Michele D'Alo', Guido van den Heuvel
Maintainer: Luisa Franconi <franconi@istat.it>

Diff between LabourMarketAreas versions 2.0 dated 2016-10-03 and 3.0 dated 2017-05-15

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New package bamboo with initial version 0.9.17
Package: bamboo
Type: Package
Title: Protein Secondary Structure Prediction Using the Bamboo Method
Version: 0.9.17
Date: 2017-05-15
Description: Implementation of the Bamboo methods described in Li, Dahl, Vannucci, Joo, and Tsai (2014) <DOI:10.1371/journal.pone.0109832>.
Authors@R: person(given="David B.",family="Dahl",role=c("aut","cre"),email="dahl@stat.byu.edu")
URL: https://github.com/dbdahl/bamboo
BugReports: https://github.com/dbdahl/bamboo/issues
Depends: R (>= 2.10)
Imports: rscala (>= 2.1.1)
LazyData: true
License: GPL-3
NeedsCompilation: no
Packaged: 2017-05-15 15:37:36 UTC; dahl
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Repository: CRAN
Date/Publication: 2017-05-15 16:09:48 UTC

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New package issueReporter with initial version 0.1.0
Package: issueReporter
Type: Package
Title: Create Reports from GitHub Issues
Version: 0.1.0
Author: Michael Kirchner
Maintainer: Michael Kirchner <michael@kirchner.io>
URL: https://github.com/mkirch/issueReporter
BugReports: https://github.com/mkirch/issueReporter/issues
Description: Generates a report from a GitHub issue thread, using R Markdown.
Imports: rmarkdown, tint, httr, jsonlite, httpuv
License: GPL-3 | file LICENSE
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-15 15:06:13 UTC; mkirchner
Repository: CRAN
Date/Publication: 2017-05-15 15:16:54 UTC

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New package EMAtools with initial version 0.1.0
Package: EMAtools
Type: Package
Title: Data Management Tools for Real-Time Monitoring/Ecological Momentary Assessment Data
Version: 0.1.0
Authors@R: person("Evan", "Kleiman", email = "ekleiman@fas.harvard.edu", role = c("aut", "cre"))
Description: Do data management functions common in real-time monitoring (also called: ecological momentary assessment, experience sampling, micro-longitudinal) data, including centering on participant means and merging event-level data into momentary data sets where you need the events to correspond to the nearest data point in the momentary data. This is VERY early release software, and more features will be added over time.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: DataCombine
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-15 15:32:23 UTC; evan
Author: Evan Kleiman [aut, cre]
Maintainer: Evan Kleiman <ekleiman@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2017-05-15 15:39:48 UTC

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Package rticles updated to version 0.4 with previous version 0.2 dated 2016-04-24

Title: Article Formats for R Markdown
Description: A suite of custom R Markdown formats and templates for authoring journal articles and conference submissions.
Author: JJ Allaire [aut, cre], R Foundation [aut, cph], Hadley Wickham [aut], Journal of Statistical Software [aut, cph], Yihui Xie [aut], RStudio [cph], Ramnath Vaidyanathan [aut, cph], Association for Computing Machinery [aut, cph], Carl Boettiger [aut, cph], Elsevier [aut, cph], Karl Broman [aut, cph], Kirill Mueller [aut, cph], Bastiaan Quast [aut, cph], Randall Pruim [aut, cph], Ben Marwick [aut, cph], Charlotte Wickham [aut, cph], Oliver Keyes [aut, cph], Miao Yu [aut, cph]
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between rticles versions 0.2 dated 2016-04-24 and 0.4 dated 2017-05-15

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 40 files changed, 241 insertions(+), 102 deletions(-)

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New package redux with initial version 1.0.0
Package: redux
Title: R Bindings to 'hiredis'
Version: 1.0.0
Author: Rich FitzJohn
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>
Description: A 'hiredis' wrapper that includes support for transactions, pipelining, blocking subscription, serialisation of all keys and values, 'Redis' error handling with R errors. Includes an automatically generated 'R6' interface to the full 'hiredis' 'API'. Generated functions are faithful to the 'hiredis' documentation while attempting to match R's argument semantics. Serialisation must be explicitly done by the user, but both binary and text-mode serialisation is supported.
SystemRequirements: hiredis
License: GPL-2
LazyData: true
URL: https://github.com/richfitz/redux
BugReports: https://github.com/richfitz/redux/issues
Depends: R (>= 3.2.0)
Imports: R6
Suggests: knitr, rmarkdown, sys, testthat
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-05-15 09:21:23 UTC; rich
Repository: CRAN
Date/Publication: 2017-05-15 14:11:17 UTC

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New package desctable with initial version 0.1.0
Package: desctable
Title: Produce Descriptive and Comparative Tables Easily
Version: 0.1.0
Authors@R: person("Maxime", "Wack", email = "maximewack@free.fr", role = c("aut", "cre"))
Description: Easily create descriptive and comparative tables. It makes use and integrates directly with the tidyverse family of packages, and pipes. Tables are produced as data frames/lists of data frames for easy manipulation after creation, and ready to be saved as csv, or piped to DT::datatable() or pander::pander() to integrate into reports.
Depends: R (>= 3.2.3)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/maximewack/desctable
BugReports: https://github.com/maximewack/desctable/issues
Imports: dplyr, purrr, DT, htmltools, pander
Suggests: knitr, rmarkdown, survival
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-15 12:26:28 UTC; u992093
Author: Maxime Wack [aut, cre]
Maintainer: Maxime Wack <maximewack@free.fr>
Repository: CRAN
Date/Publication: 2017-05-15 14:06:23 UTC

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Package goftte (with last version 1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-05-15 1.0

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Package PairwiseD updated to version 0.9.62 with previous version 0.9.58 dated 2017-05-04

Title: Pairing Up Units and Vectors in Panel Data Setting
Description: Pairing observations according to a chosen formula and facilitates bilateral analysis of the panel data. Paring is possible for observations, as well as for vectors of observations ordered with respect to time.
Author: Krzysztof Beck, Marcin Stryjek
Maintainer: Marcin Stryjek <pairwised@post.pl>

Diff between PairwiseD versions 0.9.58 dated 2017-05-04 and 0.9.62 dated 2017-05-15

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New package vfcp with initial version 0.1.0
Package: vfcp
Type: Package
Date: 2017-05-14
Title: Computation of v Values for U and Copula C(U, v)
Version: 0.1.0
Author: Josef Brejcha
Maintainer: Josef Brejcha <brchjo@gmail.com>
Suggests: VineCopula, knitr, rmarkdown
Description: Computation the value of one of two uniformly distributed marginals if the copula probability value is known and the value of the second marginal is also known. Computation and plotting corresponding cumulative distribution function or survival function.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-14 17:55:26 UTC; brch
Repository: CRAN
Date/Publication: 2017-05-15 09:55:57 UTC

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Package TraMineRextras updated to version 0.4.0 with previous version 0.2.6 dated 2017-03-01

Title: TraMineR Extension
Description: Collection of ancillary functions and utilities to be used in conjunction with the 'TraMineR' package for sequence data exploration. Most of the functions are in test phase, lack systematic consistency check of the arguments and are subject to changes. Once fully checked, some of the functions of this collection could be included in a next release of 'TraMineR'.
Author: Gilbert Ritschard [aut, cre, ths, cph], Matthias Studer [aut], Reto Buergin [aut], Alexis Gabadinho [ctb], Nicolas Muller [ctb], Patrick Rousset [ctb]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

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New package goftte with initial version 1.0
Package: goftte
Type: Package
Title: Goodness-of-Fit for Time-to-Event Data
Version: 1.0
Date: 2017-05-12
Author: Patrick Sfumato and Jean-Marie Boher.
Maintainer: Patrick Sfumato <sfumatop@ipc.unicancer.fr>
Description: Extension of 'gof ' package to survival models.
Depends: survival, R (>= 3.0.3)
Suggests: cmprsk, rms, gof
License: GPL (>= 2.0)
LazyLoad: yes
Packaged: 2017-05-15 07:54:06 UTC; SFUMATOP
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2017-05-15 09:42:57 UTC

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Package tadaatoolbox updated to version 0.11.0 with previous version 0.10.0 dated 2016-08-18

Title: Helpers for Data Analysis and Presentation Focused on Undergrad Psychology
Description: Contains functions for the easy display of statistical tests as well as some convenience functions for recoding or data cleanup. It is meant to ease existing workflows with packages like 'sjPlot', 'dplyr', and 'ggplot2'. The primary components are the functions prefixed with 'tadaa_', which are built to work in an interactive environment, but also print tidy markdown tables powered by 'pixiedust' for the creation of 'RMarkdown' reports.
Author: Lukas Burk [aut, cre], Tobias Anton [aut], Daniel Lüdecke [ctb]
Maintainer: Lukas Burk <lukas@quantenbrot.de>

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New package suncalc with initial version 0.1
Package: suncalc
Version: 0.1
Date: 2017-05-15
Title: Compute Sun Position, Sunlight Phases, Moon Position and Lunar Phase
Authors@R: c( person("Vladimir", "Agafonkin", role = c("aut", "cph"), comment = "suncalc.js library/lib, https://github.com/mourner"), person("Benoit", "Thieurmel", role = c("aut", "cre"), comment = "R interface", email = "benoit.thieurmel@datastorm.fr") )
Description: R interface to 'suncalc.js' library, part of the 'SunCalc.net' project <http://suncalc.net>, for calculating sun position, sunlight phases (times for sunrise, sunset, dusk, etc.), moon position and lunar phase for the given location and time.
Imports: V8 (>= 1.5)
License: GPL-2 | file LICENSE
URL: https://github.com/datastorm-open/suncalc, https://github.com/mourner/suncalc
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2017-05-15 07:09:28 UTC; Datastorm
Author: Vladimir Agafonkin [aut, cph] (suncalc.js library/lib, https://github.com/mourner), Benoit Thieurmel [aut, cre] (R interface)
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>
Repository: CRAN
Date/Publication: 2017-05-15 07:19:01 UTC

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Package Rfast updated to version 1.8.1 with previous version 1.8.0 dated 2017-05-11

Title: Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt and Changliang Zou
Maintainer: Manos Papadakis <papadakm95@gmail.com>

Diff between Rfast versions 1.8.0 dated 2017-05-11 and 1.8.1 dated 2017-05-15

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Package qualpalr updated to version 0.4.1 with previous version 0.4.0 dated 2017-03-16

Title: Automatic Generation of Qualitative Color Palettes
Description: Automatic generation of distinct qualitative color palettes, optionally adapted to color blindness. It takes a subspace of the HSL color space as input and projects it to the DIN99d color space where it selects and return colors that are maximally distinct.
Author: Johan Larsson [aut, cre]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package incidence updated to version 1.2.0 with previous version 1.1.2 dated 2017-03-24

Title: Compute, Handle, Plot and Model Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. In addition, log-linear models can be fitted to 'incidence' objects using 'fit'. This package is part of the RECON (<http://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Thibaut Jombart [aut, cre], Rich FitzJohn [aut], Jun Cai [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

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Package slim updated to version 0.1.1 with previous version 0.1.0 dated 2016-11-07

Title: Singular Linear Models for Longitudinal Data
Description: Fits singular linear models to longitudinal data. Singular linear models are useful when the number, or timing, of longitudinal observations may be informative about the observations themselves. They are described in Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general longitudinal data.
Author: Daniel Farewell [aut, cre]
Maintainer: Daniel Farewell <farewelld@cf.ac.uk>

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Package unmarked updated to version 0.12-2 with previous version 0.12-0 dated 2017-04-16

Title: Models for Data from Unmarked Animals
Description: Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.
Author: Ian Fiske, Richard Chandler, David Miller, Andy Royle, Marc Kery, Jeff Hostetler, Rebecca Hutchinson
Maintainer: Andy Royle <aroyle@usgs.gov>

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Package TraMineR updated to version 2.0-5 with previous version 1.8-13 dated 2016-10-05

Title: Trajectory Miner: a Toolbox for Exploring and Rendering Sequences
Description: Toolbox for the manipulation, description and rendering of sequences, and more generally the mining of sequence data in the field of social sciences. Although the toolbox is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph], Matthias Studer [aut, cph], Nicolas Müller [aut], Reto Bürgin [aut], Pierre-Alexandre Fonta [aut], Gilbert Ritschard [aut, cre, cph]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

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Package striprtf updated to version 0.4.3 with previous version 0.3.1 dated 2017-03-31

Title: Extract Text from RTF File
Description: Extracts plain text from RTF (Rich Text Format) file.
Author: Kota Mori [aut, cre]
Maintainer: Kota Mori <kmori05@gmail.com>

Diff between striprtf versions 0.3.1 dated 2017-03-31 and 0.4.3 dated 2017-05-15

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Package spBayesSurv updated to version 1.1.1 with previous version 1.1.0 dated 2017-03-31

Title: Bayesian Modeling and Analysis of Spatially Correlated Survival Data
Description: Provides several Bayesian survival models for spatial/non-spatial survival data: marginal Bayesian Nonparametric models, marginal Bayesian proportional hazards models, generalized accelerated failure time frailty models, and standard semiparametric frailty models within the context of proportional hazards, proportional odds and accelerated failure time.
Author: Haiming Zhou <zhouh@niu.edu> and Tim Hanson <hansont@stat.sc.edu>
Maintainer: Haiming Zhou <zhouh@niu.edu>

Diff between spBayesSurv versions 1.1.0 dated 2017-03-31 and 1.1.1 dated 2017-05-15

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Package sf updated to version 0.4-3 with previous version 0.4-2 dated 2017-05-05

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial vector data. Binds to GDAL for reading and writing data, to GEOS for geometrical operations, and to Proj.4 for projection conversions and datum transformations.
Author: Edzer Pebesma [aut, cre], Roger Bivand [ctb], Ian Cook [ctb], Tim Keitt [ctb], Michael Sumner [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb], Etienne Racine [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sf versions 0.4-2 dated 2017-05-05 and 0.4-3 dated 2017-05-15

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New package PROscorerTools with initial version 0.0.1
Package: PROscorerTools
Type: Package
Title: Tools to Score Patient-Reported Outcome (PRO) and Other Psychometric Measures
Version: 0.0.1
Authors@R: person("Ray", "Baser", email="ray.stats@gmail.com", role=c("aut", "cre"))
Description: Provides a reliable and flexible toolbox to score patient-reported outcome (PRO), Quality of Life (QOL), and other psychometric measures. The guiding philosophy is that scoring errors can be eliminated by using a limited number of well-tested, well-behaved functions to score PRO-like measures. The workhorse of the package is the 'scoreScale' function, which can be used to score most single-scale measures. It can reverse code items that need to be reversed before scoring and pro-rate scores for missing item data. Currently, three different types of scores can be output: summed item scores, mean item scores, and scores scaled to range from 0 to 100. The 'PROscorerTools' functions can be used to write new functions that score more complex measures. In fact, 'PROscorerTools' functions are the building blocks of the scoring functions in the 'PROscorer' package (which is a repository of functions that score specific commonly-used instruments). Users are encouraged to use 'PROscorerTools' to write scoring functions for their favorite PRO-like instruments, and to submit these functions for inclusion in 'PROscorer' (a tutorial vignette will be added soon). The long-term vision for the 'PROscorerTools' and 'PROscorer' packages is to provide an easy-to-use system to facilitate the incorporation of PRO measures into research studies in a scientifically rigorous and reproducible manner. These packages and their vignettes are intended to help establish and promote "best practices" for scoring and describing PRO-like measures in research.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: http://github.com/raybaser/PROscorerTools
BugReports: http://github.com/raybaser/PROscorerTools/issues
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-14 23:39:02 UTC; rayray2k
Author: Ray Baser [aut, cre]
Maintainer: Ray Baser <ray.stats@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-15 05:25:34 UTC

More information about PROscorerTools at CRAN
Permanent link

Package pbdZMQ updated to version 0.2-6 with previous version 0.2-5 dated 2016-12-18

Title: Programming with Big Data -- Interface to ZeroMQ
Description: 'ZeroMQ' is a well-known library for high-performance asynchronous messaging in scalable, distributed applications. This package provides high level R wrapper functions to easily utilize 'ZeroMQ'. We mainly focus on interactive client/server programming frameworks. For convenience, a minimal 'ZeroMQ' library (4.1.0 rc1) is shipped with 'pbdZMQ', which can be used if no system installation of 'ZeroMQ' is available. A few wrapper functions compatible with 'rzmq' are also provided.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], Christian Heckendorf [aut] (file transfer), George Ostrouchov [aut] (Mac OSX), Whit Armstrong [ctb] (some functions are modified from the rzmq package for backwards compatibility), Brian Ripley [ctb] (C code of shellexec, and Solaris), R Core team [ctb] (some functions are modified from the R source code), Philipp A. [ctb] (Fedora)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package MAVE updated to version 1.1.5 with previous version 0.1.7 dated 2017-02-01

Title: Methods for Dimension Reduction
Description: Functions for dimension reduction, using MAVE (Minimum Average Variance Estimation), OPG (Outer Product of Gradient) and KSIR (sliced inverse regression of kernel version). Methods for selecting the best dimension are also included.
Author: Hang Weiqiang<E0010758@u.nus.edu>, Xia Yingcun<staxyc@nus.edu.sg>
Maintainer: Hang Weiqiang<E0010758@u.nus.edu>

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 MAVE-1.1.5/MAVE/src/xzgetrf.cpp                                  |only
 MAVE-1.1.5/MAVE/src/xzgetrf.h                                    |only
 MAVE-1.1.5/MAVE/src/xzggbal.cpp                                  |    3 
 MAVE-1.1.5/MAVE/src/xzggbal.h                                    |    3 
 MAVE-1.1.5/MAVE/src/xzggev.cpp                                   |    9 
 MAVE-1.1.5/MAVE/src/xzggev.h                                     |    3 
 MAVE-1.1.5/MAVE/src/xzhgeqz.cpp                                  |    3 
 MAVE-1.1.5/MAVE/src/xzhgeqz.h                                    |    3 
 MAVE-1.1.5/MAVE/src/xzlarf.cpp                                   |   11 
 MAVE-1.1.5/MAVE/src/xzlarf.h                                     |    3 
 MAVE-1.1.5/MAVE/src/xzlarfg.cpp                                  |   55 
 MAVE-1.1.5/MAVE/src/xzlarfg.h                                    |    6 
 MAVE-1.1.5/MAVE/src/xzlartg.cpp                                  |    5 
 MAVE-1.1.5/MAVE/src/xzlartg.h                                    |    3 
 MAVE-1.1.5/MAVE/src/xztgevc.cpp                                  |   37 
 MAVE-1.1.5/MAVE/src/xztgevc.h                                    |    3 
 MAVE-1.1.5/MAVE/vignettes/Short_introduction_to_package_MAVE.Rnw |   26 
 171 files changed, 3642 insertions(+), 3819 deletions(-)

More information about MAVE at CRAN
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