Sat, 08 Feb 2020

Package MachineShop updated to version 2.1.0 with previous version 2.0.0 dated 2019-12-10

Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

Diff between MachineShop versions 2.0.0 dated 2019-12-10 and 2.1.0 dated 2020-02-08

 MachineShop-2.0.0/MachineShop/R/TrainedModelFrames.R                   |only
 MachineShop-2.0.0/MachineShop/R/TrainedRecipes.R                       |only
 MachineShop-2.0.0/MachineShop/R/train.R                                |only
 MachineShop-2.0.0/MachineShop/inst/doc/Introduction.R                  |only
 MachineShop-2.0.0/MachineShop/inst/doc/Introduction.Rmd                |only
 MachineShop-2.0.0/MachineShop/inst/doc/Introduction.html               |only
 MachineShop-2.0.0/MachineShop/man/SelectedModelFrame.Rd                |only
 MachineShop-2.0.0/MachineShop/man/SelectedRecipe.Rd                    |only
 MachineShop-2.0.0/MachineShop/man/TunedRecipe.Rd                       |only
 MachineShop-2.0.0/MachineShop/man/offset.Rd                            |only
 MachineShop-2.0.0/MachineShop/tests/testthat/test-TrainedModelFrames.R |only
 MachineShop-2.0.0/MachineShop/tests/testthat/test-TrainedRecipes.R     |only
 MachineShop-2.0.0/MachineShop/vignettes/Introduction.Rmd               |only
 MachineShop-2.1.0/MachineShop/DESCRIPTION                              |   22 
 MachineShop-2.1.0/MachineShop/MD5                                      |  184 ++-
 MachineShop-2.1.0/MachineShop/NAMESPACE                                |  150 ++-
 MachineShop-2.1.0/MachineShop/NEWS.md                                  |   31 
 MachineShop-2.1.0/MachineShop/R/AllClasses.R                           |  337 ++++---
 MachineShop-2.1.0/MachineShop/R/MLControl.R                            |    6 
 MachineShop-2.1.0/MachineShop/R/MLModel.R                              |    8 
 MachineShop-2.1.0/MachineShop/R/ML_GBMModel.R                          |    2 
 MachineShop-2.1.0/MachineShop/R/ML_GLMNetModel.R                       |    2 
 MachineShop-2.1.0/MachineShop/R/ML_NNetModel.R                         |    4 
 MachineShop-2.1.0/MachineShop/R/ML_NullModel.R                         |only
 MachineShop-2.1.0/MachineShop/R/ML_PLSModel.R                          |    6 
 MachineShop-2.1.0/MachineShop/R/ML_StackedModel.R                      |   28 
 MachineShop-2.1.0/MachineShop/R/ML_SuperModel.R                        |   34 
 MachineShop-2.1.0/MachineShop/R/MachineShop-package.R                  |   48 -
 MachineShop-2.1.0/MachineShop/R/ModelFrame.R                           |   85 +
 MachineShop-2.1.0/MachineShop/R/ModelRecipe.R                          |   18 
 MachineShop-2.1.0/MachineShop/R/ModeledInput.R                         |only
 MachineShop-2.1.0/MachineShop/R/TrainedInputs.R                        |only
 MachineShop-2.1.0/MachineShop/R/TrainedModels.R                        |   32 
 MachineShop-2.1.0/MachineShop/R/calibration.R                          |   31 
 MachineShop-2.1.0/MachineShop/R/coerce.R                               |   62 +
 MachineShop-2.1.0/MachineShop/R/combine.R                              |  129 --
 MachineShop-2.1.0/MachineShop/R/confusion.R                            |    6 
 MachineShop-2.1.0/MachineShop/R/convert.R                              |    2 
 MachineShop-2.1.0/MachineShop/R/dependence.R                           |    8 
 MachineShop-2.1.0/MachineShop/R/deprecated.R                           |   69 +
 MachineShop-2.1.0/MachineShop/R/diff.R                                 |    8 
 MachineShop-2.1.0/MachineShop/R/expand.R                               |    8 
 MachineShop-2.1.0/MachineShop/R/extract.R                              |   68 +
 MachineShop-2.1.0/MachineShop/R/fit.R                                  |   69 -
 MachineShop-2.1.0/MachineShop/R/grid.R                                 |   31 
 MachineShop-2.1.0/MachineShop/R/metricinfo.R                           |   15 
 MachineShop-2.1.0/MachineShop/R/metrics.R                              |    8 
 MachineShop-2.1.0/MachineShop/R/metrics_factor.R                       |   34 
 MachineShop-2.1.0/MachineShop/R/modelinfo.R                            |   14 
 MachineShop-2.1.0/MachineShop/R/models.R                               |   57 +
 MachineShop-2.1.0/MachineShop/R/performance.R                          |   12 
 MachineShop-2.1.0/MachineShop/R/performance_curve.R                    |   81 -
 MachineShop-2.1.0/MachineShop/R/plot.R                                 |  181 ++-
 MachineShop-2.1.0/MachineShop/R/predictors.R                           |   13 
 MachineShop-2.1.0/MachineShop/R/print.R                                |  391 +++++---
 MachineShop-2.1.0/MachineShop/R/recipe_roles.R                         |   12 
 MachineShop-2.1.0/MachineShop/R/resample.R                             |  463 ++++------
 MachineShop-2.1.0/MachineShop/R/response.R                             |   10 
 MachineShop-2.1.0/MachineShop/R/settings.R                             |   31 
 MachineShop-2.1.0/MachineShop/R/step_kmeans.R                          |only
 MachineShop-2.1.0/MachineShop/R/step_kmedoids.R                        |only
 MachineShop-2.1.0/MachineShop/R/step_spca.R                            |only
 MachineShop-2.1.0/MachineShop/R/summary.R                              |  101 +-
 MachineShop-2.1.0/MachineShop/R/survival.R                             |   12 
 MachineShop-2.1.0/MachineShop/R/utils.R                                |  148 ++-
 MachineShop-2.1.0/MachineShop/build/vignette.rds                       |binary
 MachineShop-2.1.0/MachineShop/inst/doc/MLModels.html                   |   12 
 MachineShop-2.1.0/MachineShop/inst/doc/UsersGuide.R                    |only
 MachineShop-2.1.0/MachineShop/inst/doc/UsersGuide.Rmd                  |only
 MachineShop-2.1.0/MachineShop/inst/doc/UsersGuide.html                 |only
 MachineShop-2.1.0/MachineShop/man/MLControl.Rd                         |    6 
 MachineShop-2.1.0/MachineShop/man/MachineShop-package.Rd               |   48 -
 MachineShop-2.1.0/MachineShop/man/ModelFrame-methods.Rd                |    2 
 MachineShop-2.1.0/MachineShop/man/ModeledInput-methods.Rd              |only
 MachineShop-2.1.0/MachineShop/man/ParameterGrid.Rd                     |   17 
 MachineShop-2.1.0/MachineShop/man/SelectedInput.Rd                     |only
 MachineShop-2.1.0/MachineShop/man/SelectedModel.Rd                     |    2 
 MachineShop-2.1.0/MachineShop/man/TunedInput.Rd                        |only
 MachineShop-2.1.0/MachineShop/man/TunedModel.Rd                        |    2 
 MachineShop-2.1.0/MachineShop/man/combine-methods.Rd                   |   12 
 MachineShop-2.1.0/MachineShop/man/deprecated.Rd                        |   36 
 MachineShop-2.1.0/MachineShop/man/expand_steps.Rd                      |    2 
 MachineShop-2.1.0/MachineShop/man/extract-methods.Rd                   |   12 
 MachineShop-2.1.0/MachineShop/man/fit-methods.Rd                       |   13 
 MachineShop-2.1.0/MachineShop/man/inputs.Rd                            |only
 MachineShop-2.1.0/MachineShop/man/lift.Rd                              |    7 
 MachineShop-2.1.0/MachineShop/man/metrics.Rd                           |    2 
 MachineShop-2.1.0/MachineShop/man/models.Rd                            |   14 
 MachineShop-2.1.0/MachineShop/man/performance_curve.Rd                 |    7 
 MachineShop-2.1.0/MachineShop/man/plot-methods.Rd                      |   44 
 MachineShop-2.1.0/MachineShop/man/print-methods.Rd                     |   30 
 MachineShop-2.1.0/MachineShop/man/resample-methods.Rd                  |   14 
 MachineShop-2.1.0/MachineShop/man/settings.Rd                          |    9 
 MachineShop-2.1.0/MachineShop/man/step_kmeans.Rd                       |only
 MachineShop-2.1.0/MachineShop/man/step_kmedoids.Rd                     |only
 MachineShop-2.1.0/MachineShop/man/step_spca.Rd                         |only
 MachineShop-2.1.0/MachineShop/man/summary-methods.Rd                   |   20 
 MachineShop-2.1.0/MachineShop/tests/testthat/Rplots.pdf                |binary
 MachineShop-2.1.0/MachineShop/tests/testthat/test-ModeledInputs.R      |only
 MachineShop-2.1.0/MachineShop/tests/testthat/test-TrainedInputs.R      |only
 MachineShop-2.1.0/MachineShop/tests/testthat/test-combine.R            |   16 
 MachineShop-2.1.0/MachineShop/tests/testthat/test-grids.R              |    3 
 MachineShop-2.1.0/MachineShop/tests/testthat/test-model-comparisons.R  |    2 
 MachineShop-2.1.0/MachineShop/tests/testthat/test-settings.R           |   12 
 MachineShop-2.1.0/MachineShop/tests/testthat/test-survival.R           |    4 
 MachineShop-2.1.0/MachineShop/tests/testthat/test-survival.txt         |   26 
 MachineShop-2.1.0/MachineShop/vignettes/UsersGuide.Rmd                 |only
 MachineShop-2.1.0/MachineShop/vignettes/bibliography.bib               |   30 
 MachineShop-2.1.0/MachineShop/vignettes/img                            |only
 109 files changed, 1987 insertions(+), 1488 deletions(-)

More information about MachineShop at CRAN
Permanent link

Package inaparc updated to version 1.1.0 with previous version 0.2.0 dated 2017-11-04

Title: Initialization Algorithms for Partitioning Cluster Analysis
Description: Partitioning clustering algorithms divide data sets into k subsets or partitions so-called clusters. They require some initialization procedures for starting the algorithms. Initialization of cluster prototypes is one of such kind of procedures for most of the partitioning algorithms. Cluster prototypes are the centers of clusters, i.e. centroids or medoids, representing the clusters in a data set. In order to initialize cluster prototypes, the package 'inaparc' contains a set of the functions that are the implementations of several linear time-complexity and loglinear time-complexity methods in addition to some novel techniques. Initialization of fuzzy membership degrees matrices is another important task for starting the probabilistic and possibilistic partitioning algorithms. In order to initialize membership degrees matrices required by these algorithms, a number of functions based on some traditional and novel initialization techniques are also available in the package 'inaparc'.
Author: Zeynel Cebeci [aut, cre], Cagatay Cebeci [aut]
Maintainer: Zeynel Cebeci <zcebeci@cukurova.edu.tr>

Diff between inaparc versions 0.2.0 dated 2017-11-04 and 1.1.0 dated 2020-02-08

 inaparc-0.2.0/inaparc/man/imembucr.Rd        |only
 inaparc-1.1.0/inaparc/DESCRIPTION            |   17 ++++++++--------
 inaparc-1.1.0/inaparc/MD5                    |   28 +++++++++++++--------------
 inaparc-1.1.0/inaparc/NAMESPACE              |    1 
 inaparc-1.1.0/inaparc/R/inaparc.R            |   27 ++++++++++++++++----------
 inaparc-1.1.0/inaparc/inst/CITATION          |   26 +++++++++++++++----------
 inaparc-1.1.0/inaparc/inst/NEWS.Rd           |   16 +++++++++++++++
 inaparc-1.1.0/inaparc/man/figen.Rd           |only
 inaparc-1.1.0/inaparc/man/hartiganwong.Rd    |    2 -
 inaparc-1.1.0/inaparc/man/imembones.Rd       |    2 -
 inaparc-1.1.0/inaparc/man/imembrand.Rd       |    2 -
 inaparc-1.1.0/inaparc/man/inaparc-package.Rd |    8 +++++--
 inaparc-1.1.0/inaparc/man/inofrep.Rd         |    2 -
 inaparc-1.1.0/inaparc/man/inscsf.Rd          |    2 +
 inaparc-1.1.0/inaparc/man/lhsmaximin.Rd      |    2 -
 inaparc-1.1.0/inaparc/man/lhsrandom.Rd       |    2 -
 16 files changed, 87 insertions(+), 50 deletions(-)

More information about inaparc at CRAN
Permanent link

Package vtreat updated to version 1.5.2 with previous version 1.5.1 dated 2020-01-16

Title: A Statistically Sound 'data.frame' Processor/Conditioner
Description: A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <DOI:10.5281/zenodo.1173313>.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between vtreat versions 1.5.1 dated 2020-01-16 and 1.5.2 dated 2020-02-08

 vtreat-1.5.1/vtreat/man/reexports.Rd                    |only
 vtreat-1.5.2/vtreat/DESCRIPTION                         |   14 
 vtreat-1.5.2/vtreat/MD5                                 |   63 +--
 vtreat-1.5.2/vtreat/NAMESPACE                           |   23 -
 vtreat-1.5.2/vtreat/NEWS.md                             |    9 
 vtreat-1.5.2/vtreat/R/cleanTreatment.R                  |    2 
 vtreat-1.5.2/vtreat/R/design_missing_Z.R                |   19 -
 vtreat-1.5.2/vtreat/R/ft.R                              |   31 +
 vtreat-1.5.2/vtreat/R/mult_class.R                      |   62 +++
 vtreat-1.5.2/vtreat/R/vtreat.R                          |  210 ++++++++----
 vtreat-1.5.2/vtreat/R/wrapr_exports.R                   |   49 --
 vtreat-1.5.2/vtreat/README.md                           |  280 +++++++++-------
 vtreat-1.5.2/vtreat/build/vignette.rds                  |binary
 vtreat-1.5.2/vtreat/inst/doc/MultiClassVtreat.html      |  133 +++----
 vtreat-1.5.2/vtreat/inst/doc/SavingTreamentPlans.html   |   12 
 vtreat-1.5.2/vtreat/inst/doc/VariableImportance.html    |   22 -
 vtreat-1.5.2/vtreat/inst/doc/vtreat.html                |   14 
 vtreat-1.5.2/vtreat/inst/doc/vtreatCrossFrames.html     |   46 +-
 vtreat-1.5.2/vtreat/inst/doc/vtreatGrouping.html        |   12 
 vtreat-1.5.2/vtreat/inst/doc/vtreatOverfit.html         |   46 +-
 vtreat-1.5.2/vtreat/inst/doc/vtreatRareLevels.html      |   12 
 vtreat-1.5.2/vtreat/inst/doc/vtreatScaleMode.html       |   24 -
 vtreat-1.5.2/vtreat/inst/doc/vtreatSignificance.html    |   26 -
 vtreat-1.5.2/vtreat/inst/doc/vtreatSplitting.html       |   12 
 vtreat-1.5.2/vtreat/inst/doc/vtreatVariableTypes.html   |   50 +-
 vtreat-1.5.2/vtreat/man/BinomialOutcomeTreatment.Rd     |    4 
 vtreat-1.5.2/vtreat/man/designTreatmentsC.Rd            |    5 
 vtreat-1.5.2/vtreat/man/designTreatmentsN.Rd            |    3 
 vtreat-1.5.2/vtreat/man/design_missingness_treatment.Rd |    8 
 vtreat-1.5.2/vtreat/man/mkCrossFrameCExperiment.Rd      |   63 ++-
 vtreat-1.5.2/vtreat/man/mkCrossFrameMExperiment.Rd      |   56 +++
 vtreat-1.5.2/vtreat/man/mkCrossFrameNExperiment.Rd      |   62 ++-
 vtreat-1.5.2/vtreat/man/prepare.treatmentplan.Rd        |   72 ++--
 33 files changed, 872 insertions(+), 572 deletions(-)

More information about vtreat at CRAN
Permanent link

Package smooth updated to version 2.5.5 with previous version 2.5.4 dated 2019-10-22

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>), Vector Exponential Smoothing (de Silva et al., 2010, <doi: 10.1177/1471082X0901000401>) in state space forms, several simulation functions and intermittent demand state space models. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2017, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

Diff between smooth versions 2.5.4 dated 2019-10-22 and 2.5.5 dated 2020-02-08

 DESCRIPTION            |   10 
 MD5                    |  129 +++++-----
 NAMESPACE              |   36 ++
 NEWS                   |   18 +
 R/cma.R                |    2 
 R/es.R                 |   17 -
 R/methods.R            |  618 +++++++++++++++++++++++++++++++++++++++----------
 R/msdecompose.R        |only
 R/oes.R                |   25 +
 R/oesg.R               |   10 
 R/simes.R              |    4 
 R/ssfunctions.R        |   19 -
 R/ves.R                |    3 
 R/vmethods.R           |    9 
 README.md              |   25 +
 build/partial.rdb      |binary
 inst/doc/ces.R         |   16 -
 inst/doc/ces.html      |   79 +++---
 inst/doc/es.R          |   44 +--
 inst/doc/es.html       |  141 +++++------
 inst/doc/gum.R         |   12 
 inst/doc/gum.html      |   33 +-
 inst/doc/oes.R         |   48 +--
 inst/doc/oes.Rmd       |   91 +++----
 inst/doc/oes.html      |  300 +++++++++++------------
 inst/doc/simulate.R    |   70 ++---
 inst/doc/simulate.html |  233 +++++++++---------
 inst/doc/sma.R         |    8 
 inst/doc/sma.html      |   21 -
 inst/doc/smooth.R      |    2 
 inst/doc/smooth.Rmd    |   51 ++--
 inst/doc/smooth.html   |   26 +-
 inst/doc/ssarima.R     |   31 +-
 inst/doc/ssarima.Rmd   |   15 -
 inst/doc/ssarima.html  |  105 +++++---
 inst/doc/ves.R         |   16 -
 inst/doc/ves.html      |   27 +-
 man/auto.ces.Rd        |   21 -
 man/auto.gum.Rd        |   13 -
 man/auto.msarima.Rd    |   19 -
 man/auto.ssarima.Rd    |   19 -
 man/ces.Rd             |    9 
 man/covar.Rd           |    3 
 man/es.Rd              |   19 -
 man/forecast.smooth.Rd |   15 -
 man/gum.Rd             |   25 -
 man/isFunctions.Rd     |    8 
 man/iss.Rd             |    8 
 man/msarima.Rd         |   21 -
 man/msdecompose.Rd     |only
 man/oes.Rd             |   12 
 man/oesg.Rd            |   13 -
 man/plot.smooth.Rd     |only
 man/sim.es.Rd          |    7 
 man/sim.gum.Rd         |    8 
 man/sim.ssarima.Rd     |    4 
 man/sim.ves.Rd         |   11 
 man/sma.Rd             |    7 
 man/smooth.Rd          |    1 
 man/smoothCombine.Rd   |   13 -
 man/ssarima.Rd         |   21 -
 man/ves.Rd             |   18 -
 man/viss.Rd            |    9 
 src/ssGeneral.cpp      |   12 
 vignettes/oes.Rmd      |   91 +++----
 vignettes/smooth.Rmd   |   51 ++--
 vignettes/ssarima.Rmd  |   15 -
 67 files changed, 1665 insertions(+), 1102 deletions(-)

More information about smooth at CRAN
Permanent link

Package selectapref updated to version 0.1.2 with previous version 0.1.1 dated 2018-11-29

Title: Analysis of Field and Laboratory Foraging
Description: Provides indices such as Manly's alpha, foraging ratio, and Ivlev's selectivity to allow for analysis of dietary selectivity and preference. Can accommodate multiple experimental designs such as constant prey number of prey depletion. Please contact the package maintainer with any publications making use of this package in an effort to maintain a repository of dietary selections studies.
Author: Jason Richardson [aut, cre]
Maintainer: Jason Richardson <jcrichardson617@gmail.com>

Diff between selectapref versions 0.1.1 dated 2018-11-29 and 0.1.2 dated 2020-02-08

 DESCRIPTION        |    8 ++--
 MD5                |    6 +--
 R/manlysa.R        |  102 ++++++++++++++++++++++++++---------------------------
 man/manlysalpha.Rd |    6 +--
 4 files changed, 61 insertions(+), 61 deletions(-)

More information about selectapref at CRAN
Permanent link

Package rayrender updated to version 0.6.0 with previous version 0.4.2 dated 2019-11-09

Title: Build and Raytrace 3D Scenes
Description: Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Author: Tyler Morgan-Wall [aut, cph, cre] (<https://orcid.org/0000-0002-3131-3814>), Syoyo Fujita [ctb, cph], Melissa O'Neill [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayrender versions 0.4.2 dated 2019-11-09 and 0.6.0 dated 2020-02-08

 DESCRIPTION               |    8 -
 MD5                       |   94 +++++++++---------
 NAMESPACE                 |    1 
 R/RcppExports.R           |    4 
 R/generate_cornell.R      |    3 
 R/group_objects.R         |    2 
 R/materials.R             |  118 +++++++++++++++++++----
 R/objects.R               |   15 ++-
 R/pig.R                   |    6 +
 R/r_obj.R                 |    2 
 R/render_scene.R          |   47 ++++++---
 man/cube.Rd               |   19 +++
 man/cylinder.Rd           |   19 +++
 man/dielectric.Rd         |   11 +-
 man/diffuse.Rd            |   45 +++++++--
 man/disk.Rd               |   16 ++-
 man/ellipsoid.Rd          |   17 ++-
 man/generate_cornell.Rd   |   14 ++
 man/generate_ground.Rd    |    7 +
 man/group_objects.Rd      |   13 +-
 man/light.Rd              |only
 man/metal.Rd              |    8 +
 man/obj_model.Rd          |   20 +++-
 man/pig.Rd                |   14 ++
 man/r_obj.Rd              |    2 
 man/render_scene.Rd       |   50 +++++++---
 man/segment.Rd            |   14 ++
 man/sphere.Rd             |   15 ++-
 man/triangle.Rd           |   21 +++-
 man/xy_rect.Rd            |   15 ++-
 man/xz_rect.Rd            |   15 ++-
 man/yz_rect.Rd            |   15 ++-
 src/RcppExports.cpp       |   12 +-
 src/aabb.h                |    2 
 src/buildscene.h          |   69 ++++++++-----
 src/bvh_node.h            |   22 ++++
 src/distributions.h       |only
 src/hitable.h             |   27 +++++
 src/infinite_area_light.h |only
 src/material.h            |   21 +++-
 src/mathinline.h          |   24 ++++
 src/pdf.h                 |    7 -
 src/render_scene_rcpp.cpp |  228 ++++++++++++++++++++++++++++++++++------------
 src/sphere.h              |    4 
 src/texture.h             |   53 ++++++++--
 src/triangle.h            |   16 ++-
 src/trimesh.h             |  219 +++++++++++++++++++++++++++++++++++++++-----
 src/vec2.h                |only
 src/vec3.h                |   15 +++
 src/xyrect.h              |    8 +
 50 files changed, 1063 insertions(+), 314 deletions(-)

More information about rayrender at CRAN
Permanent link

Package dendextend updated to version 1.13.3 with previous version 1.13.2 dated 2019-12-02

Title: Extending 'dendrogram' Functionality in R
Description: Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Cath [ctb] (https://github.com/CathG), John Ma [ctb] (https://github.com/JohnMCMa), Krzysiek G [ctb] (https://github.com/storaged), Manuela Hummel [ctb] (https://github.com/hummelma), Chase Clark [ctb] (https://github.com/chasemc), Lucas Graybuck [ctb] (https://github.com/hypercompetent), jdetribol [ctb] (https://github.com/jdetribol), Ben Ho [ctb] (https://github.com/SplitInf), Samuel Perreault [ctb] (https://github.com/samperochkin), Christian Hennig [ctb] (http://www.homepages.ucl.ac.uk/~ucakche/), David Bradley [ctb] (https://github.com/DBradley27)
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between dendextend versions 1.13.2 dated 2019-12-02 and 1.13.3 dated 2020-02-08

 DESCRIPTION                        |   10 
 MD5                                |   26 
 NEWS                               |    7 
 R/cor_bakers_gamma.R               |    2 
 build/vignette.rds                 |binary
 inst/doc/Cluster_Analysis.R        |   86 -
 inst/doc/Cluster_Analysis.html     |  989 +++++++++++++--------
 inst/doc/FAQ.R                     |   32 
 inst/doc/FAQ.html                  |  831 +++++++++++-------
 inst/doc/Quick_Introduction.R      |   24 
 inst/doc/Quick_Introduction.html   |  351 ++++++-
 inst/doc/dendextend.R              |  158 +--
 inst/doc/dendextend.html           | 1673 ++++++++++++++++++++-----------------
 man/bakers_gamma_for_2_k_matrix.Rd |    7 
 14 files changed, 2521 insertions(+), 1675 deletions(-)

More information about dendextend at CRAN
Permanent link

New package ari with initial version 0.3.5
Package: ari
Type: Package
Title: Automated R Instructor
Version: 0.3.5
Authors@R: c( person("Sean", "Kross", email = "sean@seankross.com", role = c("aut", "cre")), person("John", "Muschelli", role = "ctb") )
Description: Create videos from 'R Markdown' documents, or images and audio files. These images can come from image files or HTML slides, and the audio files can be provided by the user or computer voice narration can be created using 'Amazon Polly'. The purpose of this package is to allow users to create accessible, translatable, and reproducible lecture videos. See <https://aws.amazon.com/polly/> for more information.
SystemRequirements: ffmpeg (>= 3.2.4)
Depends: R (>= 3.1.0)
Imports: text2speech (>= 0.2.8), tuneR, webshot, purrr, rmarkdown, xml2, rvest, tools, progress, hms
Suggests: testthat, grDevices, xaringan, knitr
License: MIT + file LICENSE
URL: http://github.com/seankross/ari
BugReports: http://github.com/seankross/ari/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-02-08 05:58:11 UTC; sean
Author: Sean Kross [aut, cre], John Muschelli [ctb]
Maintainer: Sean Kross <sean@seankross.com>
Repository: CRAN
Date/Publication: 2020-02-08 19:10:13 UTC

More information about ari at CRAN
Permanent link

New package jmotif with initial version 1.1.0
Package: jmotif
Version: 1.1.0
Encoding: UTF-8
Title: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Description: Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.
Authors@R: person("Pavel", "Senin", , "seninp@gmail.com", c("aut", "cre"))
URL: https://github.com/jMotif/jmotif-R
BugReports: https://github.com/jMotif/jmotif-R/issues
Depends: R (>= 3.1.0), Rcpp (>= 0.11.1)
Imports: stats
Suggests: testthat
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
SystemRequirements: C++11
License: GPL-2
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-02-08 07:15:51 UTC; psenin
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <seninp@gmail.com>
Repository: CRAN
Date/Publication: 2020-02-08 19:00:02 UTC

More information about jmotif at CRAN
Permanent link

Package kpeaks updated to version 1.1.0 with previous version 0.1.0 dated 2017-09-19

Title: Determination of K Using Peak Counts of Features for Clustering
Description: The number of clusters (k) is needed to start all the partitioning clustering algorithms. An optimal value of this input argument is widely determined by using some internal validity indices. Since most of the existing internal indices suggest a k value which is computed from the clustering results after several runs of a clustering algorithm they are computationally expensive. On the contrary, the package 'kpeaks' enables to estimate k before running any clustering algorithm. It is based on a simple novel technique using the descriptive statistics of peak counts of the features in a data set.
Author: Zeynel Cebeci [aut, cre], Cagatay Cebeci [aut]
Maintainer: Zeynel Cebeci <zcebeci@cukurova.edu.tr>

Diff between kpeaks versions 0.1.0 dated 2017-09-19 and 1.1.0 dated 2020-02-08

 DESCRIPTION           |   17 +++++++++--------
 MD5                   |   23 ++++++++++++-----------
 NAMESPACE             |    3 ++-
 R/kpeaks.R            |    4 ++--
 inst/CITATION         |   26 ++++++++++++++++----------
 inst/NEWS.Rd          |only
 man/findk.Rd          |   14 +++++++++++---
 man/findpolypeaks.Rd  |   14 ++++++++++++--
 man/genpolygon.Rd     |   11 ++++++++---
 man/kpeaks-package.Rd |   14 +++++++++++---
 man/plotpolygon.Rd    |   10 +++++++++-
 man/rmshoulders.Rd    |   11 ++++++++++-
 man/x5p4c.Rd          |    6 +++---
 13 files changed, 105 insertions(+), 48 deletions(-)

More information about kpeaks at CRAN
Permanent link

Package joineR updated to version 1.2.5 with previous version 1.2.4 dated 2018-05-17

Title: Joint Modelling of Repeated Measurements and Time-to-Event Data
Description: Analysis of repeated measurements and time-to-event data via random effects joint models. Fits the joint models proposed by Henderson and colleagues <doi:10.1093/biostatistics/1.4.465> (single event time) and by Williamson and colleagues (2008) <doi:10.1002/sim.3451> (competing risks events time) to a single continuous repeated measure. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-varying covariates. The longitudinal outcome is modelled using a linear mixed effects model. The association is captured by a latent Gaussian process. The model is estimated using am Expectation Maximization algorithm. Some plotting functions and the variogram are also included. This project is funded by the Medical Research Council (Grant numbers G0400615 and MR/M013227/1).
Author: Pete Philipson [aut, cre] (<https://orcid.org/0000-0001-7846-0208>), Ines Sousa [aut] (<https://orcid.org/0000-0002-2712-1713>), Peter J. Diggle [aut] (<https://orcid.org/0000-0003-3521-5020>), Paula Williamson [aut] (<https://orcid.org/0000-0001-9802-6636>), Ruwanthi Kolamunnage-Dona [aut] (<https://orcid.org/0000-0003-3886-6208>), Robin Henderson [aut], Graeme L. Hickey [aut] (<https://orcid.org/0000-0002-4989-0054>), Maria Sudell [ctb], Medical Research Council [fnd] (Grant numbers: G0400615 and MR/M013227/1)
Maintainer: Pete Philipson <peter.philipson1@newcastle.ac.uk>

Diff between joineR versions 1.2.4 dated 2018-05-17 and 1.2.5 dated 2020-02-08

 joineR-1.2.4/joineR/vignettes/competing-risks_cache/html/jointmodel_3b687d33bb5a66f8fbf911ef4054f617.RData     |only
 joineR-1.2.4/joineR/vignettes/competing-risks_cache/html/jointmodel_3b687d33bb5a66f8fbf911ef4054f617.rdb       |only
 joineR-1.2.4/joineR/vignettes/competing-risks_cache/html/jointmodel_3b687d33bb5a66f8fbf911ef4054f617.rdx       |only
 joineR-1.2.4/joineR/vignettes/competing-risks_cache/html/jointmodel_ses_d85991199f973f64d3a6957e88aa85b5.RData |only
 joineR-1.2.4/joineR/vignettes/competing-risks_cache/html/jointmodel_ses_d85991199f973f64d3a6957e88aa85b5.rdb   |only
 joineR-1.2.4/joineR/vignettes/competing-risks_cache/html/jointmodel_ses_d85991199f973f64d3a6957e88aa85b5.rdx   |only
 joineR-1.2.5/joineR/DESCRIPTION                                                                                |   30 
 joineR-1.2.5/joineR/MD5                                                                                        |   56 
 joineR-1.2.5/joineR/R/aids.R                                                                                   |   13 
 joineR-1.2.5/joineR/R/liver.R                                                                                  |    2 
 joineR-1.2.5/joineR/build/vignette.rds                                                                         |binary
 joineR-1.2.5/joineR/inst/doc/competing-risks.R                                                                 |   17 
 joineR-1.2.5/joineR/inst/doc/competing-risks.html                                                              |   66 -
 joineR-1.2.5/joineR/inst/doc/joineR.R                                                                          |  126 +-
 joineR-1.2.5/joineR/inst/doc/joineR.Rmd                                                                        |   22 
 joineR-1.2.5/joineR/inst/doc/joineR.html                                                                       |  564 ++++++----
 joineR-1.2.5/joineR/man/aids.Rd                                                                                |   13 
 joineR-1.2.5/joineR/man/joineR.Rd                                                                              |    1 
 joineR-1.2.5/joineR/man/joint.Rd                                                                               |   17 
 joineR-1.2.5/joineR/man/jointdata.Rd                                                                           |    9 
 joineR-1.2.5/joineR/man/jointplot.Rd                                                                           |   19 
 joineR-1.2.5/joineR/man/liver.Rd                                                                               |    2 
 joineR-1.2.5/joineR/man/plot.jointdata.Rd                                                                      |    3 
 joineR-1.2.5/joineR/man/plot.vargm.Rd                                                                          |    3 
 joineR-1.2.5/joineR/man/simjoint.Rd                                                                            |   23 
 joineR-1.2.5/joineR/tests/testthat/Rplots.pdf                                                                  |binary
 joineR-1.2.5/joineR/vignettes/competing-risks_cache/html/__packages                                            |    1 
 joineR-1.2.5/joineR/vignettes/competing-risks_cache/html/jointmodel_0406956b36067e18cf210e32be0e5c09.RData     |only
 joineR-1.2.5/joineR/vignettes/competing-risks_cache/html/jointmodel_0406956b36067e18cf210e32be0e5c09.rdb       |only
 joineR-1.2.5/joineR/vignettes/competing-risks_cache/html/jointmodel_0406956b36067e18cf210e32be0e5c09.rdx       |only
 joineR-1.2.5/joineR/vignettes/competing-risks_cache/html/jointmodel_ses_b931a21cb7026666272e347c1dba163f.RData |only
 joineR-1.2.5/joineR/vignettes/competing-risks_cache/html/jointmodel_ses_b931a21cb7026666272e347c1dba163f.rdb   |only
 joineR-1.2.5/joineR/vignettes/competing-risks_cache/html/jointmodel_ses_b931a21cb7026666272e347c1dba163f.rdx   |only
 joineR-1.2.5/joineR/vignettes/joineR.Rmd                                                                       |   22 
 joineR-1.2.5/joineR/vignettes/joineR_cache/html/__packages                                                     |    2 
 35 files changed, 652 insertions(+), 359 deletions(-)

More information about joineR at CRAN
Permanent link

Package riskRegression updated to version 2020.02.05 with previous version 2019.11.03 dated 2019-11-04

Title: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Author: Thomas Alexander Gerds [aut, cre], Paul Blanche [ctb], Rikke Mortensen [ctb], Nikolaj Tollenaar [ctb], Ulla Brasch Mogensen [ctb], Brice Ozenne [aut] (<https://orcid.org/0000-0001-9694-2956>)
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

Diff between riskRegression versions 2019.11.03 dated 2019-11-04 and 2020.02.05 dated 2020-02-08

 DESCRIPTION                        |   18 -
 MD5                                |  142 +++++++-------
 NAMESPACE                          |    2 
 R/Score.R                          |   52 ++++-
 R/ate-iid.R                        |  362 +++++++++++++++++++++----------------
 R/ate-pointEstimate.R              |    5 
 R/ate.R                            |    9 
 R/autoplot.Score.R                 |    7 
 R/autoplot.ate.R                   |   11 -
 R/autoplot.predictCSC.R            |    5 
 R/autoplot.predictCox.R            |    5 
 R/boxplot.Score.R                  |   50 ++---
 R/calcSeCox.R                      |    8 
 R/confint.ate.R                    |   11 -
 R/confint.predictCSC.R             |    5 
 R/confint.predictCox.R             |    5 
 R/influenceTest.R                  |    5 
 R/plotBrier.R                      |  151 +++++++++------
 R/plotCalibration.R                |   34 +--
 R/plotRisk.R                       |  100 +++++++---
 R/predict.CauseSpecificCox.R       |    1 
 R/predictCox.R                     |    2 
 R/predictCoxPL.R                   |    7 
 R/predictRisk.R                    |    8 
 R/print.Score.R                    |   11 -
 R/print.influenceTest.R            |    5 
 R/summary.Score.R                  |only
 R/summary.ate.R                    |    7 
 inst/doc/IPA.html                  |  188 +++++++++----------
 man/Score.list.Rd                  |   48 +++-
 man/SmcFcs.Rd                      |    4 
 man/SuperPredictor.Rd              |    9 
 man/as.data.table.ate.Rd           |    9 
 man/as.data.table.influenceTest.Rd |    3 
 man/as.data.table.predictCSC.Rd    |    3 
 man/as.data.table.predictCox.Rd    |    3 
 man/ate.Rd                         |   31 ++-
 man/autoplot.Score.Rd              |   16 +
 man/autoplot.ate.Rd                |   15 +
 man/autoplot.predictCSC.Rd         |   14 +
 man/autoplot.predictCox.Rd         |   16 +
 man/boot2pvalue.Rd                 |   10 -
 man/boxplot.Score.Rd               |   65 +++---
 man/calcSeCSC.Rd                   |   25 ++
 man/calcSeCox.Rd                   |   24 ++
 man/confint.ate.Rd                 |   16 +
 man/confint.influenceTest.Rd       |   11 -
 man/confint.predictCSC.Rd          |   11 -
 man/confint.predictCox.Rd          |   13 +
 man/dicreteRoot.Rd                 |    9 
 man/iidCox.Rd                      |   64 +++++-
 man/influenceTest.Rd               |   12 +
 man/ipcw.Rd                        |   13 +
 man/penalizedS3.Rd                 |    3 
 man/plotAUC.Rd                     |   23 ++
 man/plotBrier.Rd                   |   23 ++
 man/plotCalibration.Rd             |   48 +++-
 man/plotEffects.Rd                 |   21 +-
 man/plotPredictRisk.Rd             |   22 +-
 man/plotROC.Rd                     |   20 +-
 man/plotRisk.Rd                    |   30 ++-
 man/predict.CauseSpecificCox.Rd    |   26 ++
 man/predictCox.Rd                  |   25 +-
 man/predictCoxPL.Rd                |   11 -
 man/predictRisk.Rd                 |   37 ++-
 man/print.riskRegression.Rd        |    3 
 man/riskLevelPlot.Rd               |   10 -
 man/riskRegression.Rd              |   17 +
 man/subjectWeights.Rd              |    9 
 man/summary.Score.Rd               |only
 man/summary.ate.Rd                 |    9 
 man/summary.riskRegression.Rd      |   11 -
 man/transformCIBP.Rd               |   17 +
 73 files changed, 1314 insertions(+), 711 deletions(-)

More information about riskRegression at CRAN
Permanent link

Package repo updated to version 2.1.5 with previous version 2.1.4 dated 2019-12-19

Title: A Data-Centered Data Flow Manager
Description: A data manager meant to avoid manual storage/retrieval of data to/from the file system. It builds one (or more) centralized repository where R objects are stored with rich annotations, including corresponding code chunks, and easily searched and retrieved. See Napolitano (2017) <doi:10.1037/a0028240> for further information.
Author: Francesco Napolitano <franapoli@gmail.com>
Maintainer: Francesco Napolitano <franapoli@gmail.com>

Diff between repo versions 2.1.4 dated 2019-12-19 and 2.1.5 dated 2020-02-08

 DESCRIPTION                |   14 ++--
 MD5                        |   26 +++----
 NEWS.md                    |   11 ++-
 R/repo_public.R            |    7 --
 README.md                  |  156 +++++++++++++++++++++------------------------
 inst/README-depgraph-1.png |binary
 inst/doc/index.R           |   96 +++++++++++++--------------
 inst/doc/index.html        |   88 ++++++++++++-------------
 man/repo_attach.Rd         |   14 +++-
 man/repo_build.Rd          |   10 ++
 man/repo_dependencies.Rd   |   11 ++-
 man/repo_print.Rd          |    5 -
 man/repo_put.Rd            |   19 ++++-
 man/repo_set.Rd            |   17 ++++
 14 files changed, 258 insertions(+), 216 deletions(-)

More information about repo at CRAN
Permanent link

Package rco updated to version 1.0.1 with previous version 1.0.0 dated 2020-02-06

Title: The R Code Optimizer
Description: Automatically apply different strategies to optimize R code. 'rco' functions take R code as input, and returns R code as output.
Author: Juan Cruz Rodriguez [aut, cre], Yihui Xie [ctb] (<https://orcid.org/0000-0003-0645-5666>), Nicolás Wolovick [ctb]
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>

Diff between rco versions 1.0.0 dated 2020-02-06 and 1.0.1 dated 2020-02-08

 DESCRIPTION                            |    8 ++++----
 MD5                                    |   24 ++++++++++++------------
 NEWS.md                                |   18 +++++++++---------
 R/parse.R                              |    7 +++----
 README.md                              |   25 +++++++++++++++++--------
 build/vignette.rds                     |binary
 inst/doc/opt-common-subexpr.html       |    6 +++---
 inst/doc/opt-constant-folding.html     |    6 +++---
 inst/doc/opt-constant-propagation.html |    4 ++--
 inst/doc/opt-dead-code.html            |    4 ++--
 inst/doc/opt-dead-expr.html            |    6 +++---
 inst/doc/opt-dead-store.html           |    4 ++--
 inst/doc/opt-loop-invariant.html       |    6 +++---
 13 files changed, 63 insertions(+), 55 deletions(-)

More information about rco at CRAN
Permanent link

Package pavo updated to version 2.4.0 with previous version 2.3.0 dated 2019-12-11

Title: Perceptual Analysis, Visualization and Organization of Spectral Colour Data
Description: A cohesive framework for parsing, analyzing and organizing colour from spectral data.
Author: Rafael Maia [aut, cre] (<https://orcid.org/0000-0002-7563-9795>), Thomas White [aut] (<https://orcid.org/0000-0002-3976-1734>), Hugo Gruson [aut] (<https://orcid.org/0000-0002-4094-1476>), John Endler [aut], Chad Eliason [aut], Pierre-Paul Bitton [aut] (<https://orcid.org/0000-0001-5984-2331>)
Maintainer: Rafael Maia <rm72@zips.uakron.edu>

Diff between pavo versions 2.3.0 dated 2019-12-11 and 2.4.0 dated 2020-02-08

 pavo-2.3.0/pavo/R/parse_avantes.R                         |only
 pavo-2.3.0/pavo/R/parse_procspec.R                        |only
 pavo-2.3.0/pavo/man/parse_avantes.Rd                      |only
 pavo-2.3.0/pavo/man/parse_procspec.Rd                     |only
 pavo-2.4.0/pavo/DESCRIPTION                               |   14 
 pavo-2.4.0/pavo/MD5                                       |  181 +--
 pavo-2.4.0/pavo/NAMESPACE                                 |    7 
 pavo-2.4.0/pavo/NEWS.md                                   |   28 
 pavo-2.4.0/pavo/R/adjacent.R                              |   66 -
 pavo-2.4.0/pavo/R/aggplot.R                               |   48 
 pavo-2.4.0/pavo/R/aggspec.R                               |   38 
 pavo-2.4.0/pavo/R/as.rimg.R                               |    8 
 pavo-2.4.0/pavo/R/as.rspec.R                              |    2 
 pavo-2.4.0/pavo/R/bootcoldist.R                           |   57 -
 pavo-2.4.0/pavo/R/cieplot.R                               |   39 
 pavo-2.4.0/pavo/R/classify.R                              |   55 -
 pavo-2.4.0/pavo/R/coldist.R                               |   35 
 pavo-2.4.0/pavo/R/coldist2mat.R                           |    4 
 pavo-2.4.0/pavo/R/colspace.R                              |   48 
 pavo-2.4.0/pavo/R/data-flowers.R                          |   14 
 pavo-2.4.0/pavo/R/data-sicalis.R                          |   14 
 pavo-2.4.0/pavo/R/data-teal.R                             |   13 
 pavo-2.4.0/pavo/R/dispace.R                               |   14 
 pavo-2.4.0/pavo/R/explorespec.R                           |    4 
 pavo-2.4.0/pavo/R/getspec.R                               |  221 ----
 pavo-2.4.0/pavo/R/hexagon.R                               |    2 
 pavo-2.4.0/pavo/R/hexplot.R                               |    2 
 pavo-2.4.0/pavo/R/jndplot.R                               |   43 
 pavo-2.4.0/pavo/R/jndrot.R                                |    2 
 pavo-2.4.0/pavo/R/pavo-package.R                          |    2 
 pavo-2.4.0/pavo/R/plot.colspace.R                         |    4 
 pavo-2.4.0/pavo/R/plot.rimg.R                             |    2 
 pavo-2.4.0/pavo/R/plot.rspec.R                            |  168 +--
 pavo-2.4.0/pavo/R/points.colspace.R                       |   24 
 pavo-2.4.0/pavo/R/procimg.R                               |    2 
 pavo-2.4.0/pavo/R/projplot.R                              |   48 
 pavo-2.4.0/pavo/R/projpoints.R                            |    6 
 pavo-2.4.0/pavo/R/summary.colspace.R                      |   25 
 pavo-2.4.0/pavo/R/summary.rspec.R                         |    4 
 pavo-2.4.0/pavo/R/tcspace.R                               |   43 
 pavo-2.4.0/pavo/R/tcsplot.R                               |   41 
 pavo-2.4.0/pavo/R/tcspoints.R                             |    4 
 pavo-2.4.0/pavo/R/tcsvol.R                                |   23 
 pavo-2.4.0/pavo/R/tetraplot.R                             |   13 
 pavo-2.4.0/pavo/R/triplot.R                               |   21 
 pavo-2.4.0/pavo/R/trispace.R                              |   23 
 pavo-2.4.0/pavo/R/vismodel.R                              |    9 
 pavo-2.4.0/pavo/R/vol.R                                   |    6 
 pavo-2.4.0/pavo/R/voloverlap.R                            |    4 
 pavo-2.4.0/pavo/README.md                                 |   11 
 pavo-2.4.0/pavo/build/partial.rdb                         |binary
 pavo-2.4.0/pavo/inst/WORDLIST                             |   10 
 pavo-2.4.0/pavo/inst/doc/pavo-1-overview.html             |    6 
 pavo-2.4.0/pavo/inst/doc/pavo-2-importing_processing.Rmd  |    8 
 pavo-2.4.0/pavo/inst/doc/pavo-2-importing_processing.html |  417 +++----
 pavo-2.4.0/pavo/inst/doc/pavo-3-analysing.R               |    3 
 pavo-2.4.0/pavo/inst/doc/pavo-3-analysing.Rmd             |    5 
 pavo-2.4.0/pavo/inst/doc/pavo-3-analysing.html            |  759 ++++++--------
 pavo-2.4.0/pavo/inst/doc/pavo-4-spectraldesc.html         |    4 
 pavo-2.4.0/pavo/man/adjacent.Rd                           |   14 
 pavo-2.4.0/pavo/man/aggspec.Rd                            |   15 
 pavo-2.4.0/pavo/man/bootcoldist.Rd                        |   22 
 pavo-2.4.0/pavo/man/cieplot.Rd                            |   30 
 pavo-2.4.0/pavo/man/classify.Rd                           |   14 
 pavo-2.4.0/pavo/man/coldist.Rd                            |    2 
 pavo-2.4.0/pavo/man/coldist2mat.Rd                        |    4 
 pavo-2.4.0/pavo/man/colspace.Rd                           |    2 
 pavo-2.4.0/pavo/man/flowers.Rd                            |   10 
 pavo-2.4.0/pavo/man/getspec.Rd                            |   52 
 pavo-2.4.0/pavo/man/hexagon.Rd                            |    2 
 pavo-2.4.0/pavo/man/hexplot.Rd                            |    2 
 pavo-2.4.0/pavo/man/pavo-package.Rd                       |    4 
 pavo-2.4.0/pavo/man/plot.colspace.Rd                      |    4 
 pavo-2.4.0/pavo/man/points.colspace.Rd                    |    7 
 pavo-2.4.0/pavo/man/sicalis.Rd                            |   11 
 pavo-2.4.0/pavo/man/tcsplot.Rd                            |    7 
 pavo-2.4.0/pavo/man/teal.Rd                               |   10 
 pavo-2.4.0/pavo/man/tetraplot.Rd                          |    5 
 pavo-2.4.0/pavo/man/triplot.Rd                            |    5 
 pavo-2.4.0/pavo/man/trispace.Rd                           |    2 
 pavo-2.4.0/pavo/man/vol.Rd                                |    1 
 pavo-2.4.0/pavo/tests/testthat/test-S3colspace.R          |   27 
 pavo-2.4.0/pavo/tests/testthat/test-S3rspec.R             |   73 +
 pavo-2.4.0/pavo/tests/testthat/test-S3vismodel.R          |only
 pavo-2.4.0/pavo/tests/testthat/test-coldist.R             |    4 
 pavo-2.4.0/pavo/tests/testthat/test-colspace.R            |   15 
 pavo-2.4.0/pavo/tests/testthat/test-hashes.R              |   93 +
 pavo-2.4.0/pavo/tests/testthat/test-import.R              |   11 
 pavo-2.4.0/pavo/tests/testthat/test-processing.R          |   26 
 pavo-2.4.0/pavo/tests/testthat/test-vismodel.R            |   12 
 pavo-2.4.0/pavo/vignettes/main.bib                        |   23 
 pavo-2.4.0/pavo/vignettes/pavo-2-importing_processing.Rmd |    8 
 pavo-2.4.0/pavo/vignettes/pavo-3-analysing.Rmd            |    5 
 pavo-2.4.0/pavo/vignettes/refs.bib                        |   11 
 94 files changed, 1624 insertions(+), 1563 deletions(-)

More information about pavo at CRAN
Permanent link

Package LinRegInteractive updated to version 0.3-3 with previous version 0.3-2 dated 2020-01-13

Title: Interactive Interpretation of Linear Regression Models
Description: Interactive visualization of effects, response functions and marginal effects for different kinds of regression models. In this version linear regression models, generalized linear models, generalized additive models and linear mixed-effects models are supported. Major features are the interactive approach and the handling of the effects of categorical covariates: if two or more factors are used as covariates every combination of the levels of each factor is treated separately. The automatic calculation of marginal effects and a number of possibilities to customize the graphical output are useful features as well.
Author: Martin Meermeyer
Maintainer: Martin Meermeyer <m.meermeyer@gmail.com>

Diff between LinRegInteractive versions 0.3-2 dated 2020-01-13 and 0.3-3 dated 2020-02-08

 DESCRIPTION                      |    8 ++++----
 MD5                              |   13 ++++++++-----
 build                            |only
 inst/doc/LinRegInteractive.R     |only
 inst/doc/LinRegInteractive.Rnw   |only
 inst/doc/LinRegInteractive.pdf   |binary
 man/LinRegInteractive-package.Rd |    4 ++--
 vignettes/LinRegInteractive.Rnw  |    4 +++-
 vignettes/LinRegInteractive.bib  |    2 +-
 9 files changed, 18 insertions(+), 13 deletions(-)

More information about LinRegInteractive at CRAN
Permanent link

Package greybox updated to version 0.5.8 with previous version 0.5.7 dated 2019-12-10

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK), Yves R. Sagaert [ctb] (Visiting Research at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

Diff between greybox versions 0.5.7 dated 2019-12-10 and 0.5.8 dated 2020-02-08

 DESCRIPTION                         |   20 +-
 MD5                                 |   89 ++++++-------
 NAMESPACE                           |    3 
 NEWS                                |   25 +++
 R/alaplace.R                        |    2 
 R/alm.R                             |   78 ++++++-----
 R/association.R                     |  220 ++++++++++++++++++++++----------
 R/bcnorm.R                          |    2 
 R/determination.R                   |    3 
 R/error-measures.R                  |    3 
 R/fnorm.R                           |    2 
 R/intermittentDemandIdentificator.R |only
 R/laplace.R                         |    2 
 R/mcor.R                            |   34 +++--
 R/methods.R                         |  147 +++++++++++++--------
 R/pcor.R                            |only
 R/stepwise.R                        |    2 
 R/svet.R                            |    2 
 R/tplnorm.R                         |    2 
 README.md                           |    1 
 build/partial.rdb                   |binary
 inst/doc/alm.R                      |   32 ++--
 inst/doc/alm.Rmd                    |   42 ++----
 inst/doc/alm.html                   |  243 +++++++++++++++++-------------------
 inst/doc/greybox.R                  |   38 ++---
 inst/doc/greybox.html               |   43 ++----
 inst/doc/maUsingGreybox.R           |   30 ++--
 inst/doc/maUsingGreybox.Rmd         |   10 +
 inst/doc/maUsingGreybox.html        |  107 ++++++++++-----
 inst/doc/ro.R                       |   58 ++++----
 inst/doc/ro.html                    |   25 +--
 man/alm.Rd                          |   12 -
 man/association.Rd                  |   20 ++
 man/error-measures.Rd               |    3 
 man/graphmaker.Rd                   |    6 
 man/greybox.Rd                      |    1 
 man/lmCombine.Rd                    |    7 -
 man/lmDynamic.Rd                    |    7 -
 man/mcor.Rd                         |    3 
 man/measures.Rd                     |    4 
 man/pcor.Rd                         |only
 man/plot.greybox.Rd                 |   15 +-
 man/stepwise.Rd                     |    6 
 man/xregExpander.Rd                 |    4 
 man/xregTransformer.Rd              |    4 
 vignettes/alm.Rmd                   |   42 ++----
 vignettes/maUsingGreybox.Rmd        |   10 +
 47 files changed, 811 insertions(+), 598 deletions(-)

More information about greybox at CRAN
Permanent link

Package fplot (with last version 0.2.0) was removed from CRAN

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

2019-11-21 0.2.0
2019-11-01 0.1.0

Permanent link
Package RProtoBuf updated to version 0.4.15 with previous version 0.4.14 dated 2019-06-30

Title: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Description: Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our 'JSS' paper (2016, <doi:10.18637/jss.v071.i02>. Either version 2 or 3 of the 'Protocol Buffers' 'API' is supported.
Author: Romain Francois, Dirk Eddelbuettel, Murray Stokely and Jeroen Ooms
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RProtoBuf versions 0.4.14 dated 2019-06-30 and 0.4.15 dated 2020-02-08

 RProtoBuf-0.4.14/RProtoBuf/inst/doc/RProtoBuf-intro.R                 |only
 RProtoBuf-0.4.14/RProtoBuf/inst/doc/RProtoBuf-intro.Rmd               |only
 RProtoBuf-0.4.14/RProtoBuf/inst/doc/RProtoBuf-paper.R                 |only
 RProtoBuf-0.4.14/RProtoBuf/inst/doc/RProtoBuf-quickref.R              |only
 RProtoBuf-0.4.14/RProtoBuf/inst/doc/RProtoBuf-quickref.Rmd            |only
 RProtoBuf-0.4.14/RProtoBuf/inst/doc/RProtoBuf-unitTests.R             |only
 RProtoBuf-0.4.14/RProtoBuf/inst/doc/RProtoBuf-unitTests.Rnw           |only
 RProtoBuf-0.4.14/RProtoBuf/inst/doc/RProtoBuf-unitTests.pdf           |only
 RProtoBuf-0.4.14/RProtoBuf/inst/unitTests                             |only
 RProtoBuf-0.4.14/RProtoBuf/tests/runUnitTests.R                       |only
 RProtoBuf-0.4.14/RProtoBuf/vignettes/RProtoBuf-intro.Rmd              |only
 RProtoBuf-0.4.14/RProtoBuf/vignettes/RProtoBuf-paper.bib              |only
 RProtoBuf-0.4.14/RProtoBuf/vignettes/RProtoBuf-quickref.Rmd           |only
 RProtoBuf-0.4.14/RProtoBuf/vignettes/RProtoBuf-unitTests.Rnw          |only
 RProtoBuf-0.4.14/RProtoBuf/vignettes/figures                          |only
 RProtoBuf-0.4.14/RProtoBuf/vignettes/proto                            |only
 RProtoBuf-0.4.15/RProtoBuf/ChangeLog                                  |   35 
 RProtoBuf-0.4.15/RProtoBuf/DESCRIPTION                                |   11 
 RProtoBuf-0.4.15/RProtoBuf/MD5                                        |  120 
 RProtoBuf-0.4.15/RProtoBuf/R/read.R                                   |    2 
 RProtoBuf-0.4.15/RProtoBuf/build/vignette.rds                         |binary
 RProtoBuf-0.4.15/RProtoBuf/configure                                  |   18 
 RProtoBuf-0.4.15/RProtoBuf/configure.ac                               |   10 
 RProtoBuf-0.4.15/RProtoBuf/inst/NEWS.Rd                               |    9 
 RProtoBuf-0.4.15/RProtoBuf/inst/doc/RProtoBuf-intro.Rnw               |only
 RProtoBuf-0.4.15/RProtoBuf/inst/doc/RProtoBuf-intro.pdf               |binary
 RProtoBuf-0.4.15/RProtoBuf/inst/doc/RProtoBuf-paper.Rnw               | 1455 ----------
 RProtoBuf-0.4.15/RProtoBuf/inst/doc/RProtoBuf-paper.pdf               |binary
 RProtoBuf-0.4.15/RProtoBuf/inst/doc/RProtoBuf-quickref.Rnw            |only
 RProtoBuf-0.4.15/RProtoBuf/inst/doc/RProtoBuf-quickref.pdf            |binary
 RProtoBuf-0.4.15/RProtoBuf/inst/tinytest                              |only
 RProtoBuf-0.4.15/RProtoBuf/man/add.Rd                                 |    2 
 RProtoBuf-0.4.15/RProtoBuf/man/has.Rd                                 |    2 
 RProtoBuf-0.4.15/RProtoBuf/man/size.Rd                                |    2 
 RProtoBuf-0.4.15/RProtoBuf/src/wrapper_Message.cpp                    |    2 
 RProtoBuf-0.4.15/RProtoBuf/tests/tinytest.R                           |only
 RProtoBuf-0.4.15/RProtoBuf/vignettes/RProtoBuf-intro.Rnw              |only
 RProtoBuf-0.4.15/RProtoBuf/vignettes/RProtoBuf-paper.Rnw              | 1455 ----------
 RProtoBuf-0.4.15/RProtoBuf/vignettes/RProtoBuf-quickref.Rnw           |only
 RProtoBuf-0.4.15/RProtoBuf/vignettes/inactive/RProtoBuf-unitTests.Rnw |only
 RProtoBuf-0.4.15/RProtoBuf/vignettes/pdf                              |only
 41 files changed, 130 insertions(+), 2993 deletions(-)

More information about RProtoBuf at CRAN
Permanent link

Package countrycode updated to version 1.1.1 with previous version 1.1.0 dated 2018-10-27

Title: Convert Country Names and Country Codes
Description: Standardize country names, convert them into one of eleven coding schemes, convert between coding schemes, and assign region descriptors.
Author: Vincent Arel-Bundock [aut, cre] (<https://orcid.org/0000-0003-2042-7063>), CJ Yetman [ctb] (<https://orcid.org/0000-0001-5099-9500>), Nils Enevoldsen [ctb] (<https://orcid.org/0000-0001-7195-4117>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between countrycode versions 1.1.0 dated 2018-10-27 and 1.1.1 dated 2020-02-08

 DESCRIPTION             |   10 +++++-----
 MD5                     |   28 +++++++++++++++++++---------
 NEWS                    |   13 +++++++++++--
 R/codelist.R            |    4 ++--
 R/countrycode.R         |   10 +++++-----
 data/cldr_examples.rda  |binary
 data/codelist.rda       |binary
 data/codelist_panel.rda |binary
 man/codelist.Rd         |    4 ++--
 man/countrycode.Rd      |   23 ++++++++++++++---------
 tests                   |only
 11 files changed, 58 insertions(+), 34 deletions(-)

More information about countrycode at CRAN
Permanent link

Package chorrrds updated to version 0.1.9.3 with previous version 0.1.9.2 dated 2019-11-07

Title: Music Chords Extraction
Description: Extracts music chords from the 'CifraClub' website <https://www.cifraclub.com.br/>. The package also has functions for cleaning the extracted data and feature extraction.
Author: Bruna Wundervald [aut, cre] (<https://orcid.org/0000-0001-8163-220X>), Matthew Leonawicz [ctb] (<https://orcid.org/0000-0001-9452-2771>)
Maintainer: Bruna Wundervald <brunadaviesw@gmail.com>

Diff between chorrrds versions 0.1.9.2 dated 2019-11-07 and 0.1.9.3 dated 2020-02-08

 chorrrds-0.1.9.2/chorrrds/R/chords_bigram.R              |only
 chorrrds-0.1.9.3/chorrrds/DESCRIPTION                    |   24 +++--
 chorrrds-0.1.9.3/chorrrds/MD5                            |   26 +++---
 chorrrds-0.1.9.3/chorrrds/R/chords_ngram.R               |only
 chorrrds-0.1.9.3/chorrrds/R/clean.R                      |    2 
 chorrrds-0.1.9.3/chorrrds/R/data.R                       |    2 
 chorrrds-0.1.9.3/chorrrds/R/feature_extraction.R         |   44 ++--------
 chorrrds-0.1.9.3/chorrrds/R/get_chords.R                 |   63 ++++-----------
 chorrrds-0.1.9.3/chorrrds/R/get_songs.R                  |   28 +-----
 chorrrds-0.1.9.3/chorrrds/R/search_data.R                |    2 
 chorrrds-0.1.9.3/chorrrds/R/utils.R                      |    3 
 chorrrds-0.1.9.3/chorrrds/man/eqv.Rd                     |    2 
 chorrrds-0.1.9.3/chorrrds/man/feature_extraction.Rd      |    4 
 chorrrds-0.1.9.3/chorrrds/man/get_chords.Rd              |    4 
 chorrrds-0.1.9.3/chorrrds/tests/testthat/test-chorrrds.R |   25 +++++
 15 files changed, 95 insertions(+), 134 deletions(-)

More information about chorrrds at CRAN
Permanent link

Package fixest (with last version 0.3.0) was removed from CRAN

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

2020-02-01 0.3.0
2019-11-23 0.2.1
2019-11-19 0.2.0
2019-10-04 0.1.2
2019-09-20 0.1.1
2019-09-03 0.1.0

Permanent link
Package covglasso updated to version 1.0.1 with previous version 1.0 dated 2020-01-15

Title: Sparse Covariance Matrix Estimation
Description: Direct sparse covariance matrix estimation via the covariance graphical lasso by Bien, Tibshirani (2011) <doi:10.1093/biomet/asr054> using the fast coordinate descent algorithm of Wang (2014) <doi:10.1007/s11222-013-9385-5>.
Author: Michael Fop [aut, cre] (<https://orcid.org/0000-0003-3936-2757>), Hao Wang [ctb]
Maintainer: Michael Fop <michael.fop@ucd.ie>

Diff between covglasso versions 1.0 dated 2020-01-15 and 1.0.1 dated 2020-02-08

 DESCRIPTION   |    8 ++++----
 MD5           |    5 +++--
 NEWS.md       |only
 R/covglasso.R |    2 +-
 4 files changed, 8 insertions(+), 7 deletions(-)

More information about covglasso at CRAN
Permanent link

Package SHELF updated to version 1.7.0 with previous version 1.6.0 dated 2019-06-14

Title: Tools to Support the Sheffield Elicitation Framework
Description: Implements various methods for eliciting a probability distribution for a single parameter from an expert or a group of experts. The expert provides a small number of probability judgements, corresponding to points on his or her cumulative distribution function. A range of parametric distributions can then be fitted and displayed, with feedback provided in the form of fitted probabilities and percentiles. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions, eliciting multivariate distributions using a Gaussian copula, eliciting a Dirichlet distribution, and eliciting distributions for variance parameters in a random effects meta-analysis model. R Shiny apps for most of the methods are included.
Author: Jeremy Oakley
Maintainer: Jeremy Oakley <j.oakley@sheffield.ac.uk>

Diff between SHELF versions 1.6.0 dated 2019-06-14 and 1.7.0 dated 2020-02-08

 DESCRIPTION                                           |   10 -
 MD5                                                   |   97 ++++++++--------
 NAMESPACE                                             |    1 
 R/SHELF-package.R                                     |    2 
 R/elicit.R                                            |  105 +++++++++++++++---
 R/elicitCopula.R                                      |    2 
 R/elicitExtension.R                                   |    1 
 R/elicitHeterogeneity.R                               |    4 
 R/elicitMixture.R                                     |only
 R/extensionScripts.R                                  |    1 
 R/feedback.R                                          |    2 
 R/fitDirichlet.R                                      |    4 
 R/fitdist.R                                           |   12 +-
 R/generateReport.R                                    |    9 +
 R/makeLinearPoolPlot.R                                |   87 +++++++++++---
 R/makeQuartilePlot.R                                  |    4 
 R/makeSingleExpertPlot.R                              |    6 -
 R/makeTertilePlot.R                                   |    4 
 R/plinearpool.R                                       |   14 +-
 R/plotfit.R                                           |    2 
 R/qlinearpool.R                                       |    7 +
 build/vignette.rds                                    |binary
 inst/NEWS.md                                          |   22 +++
 inst/doc/Dirichlet-elicitation.R                      |   16 +-
 inst/doc/Dirichlet-elicitation.pdf                    |binary
 inst/doc/Multivariate-normal-copula.R                 |   22 +--
 inst/doc/Multivariate-normal-copula.pdf               |binary
 inst/doc/SHELF-overview.R                             |   18 +--
 inst/doc/SHELF-overview.pdf                           |binary
 inst/shinyAppFiles/elicitationShinySummaryMixture.Rmd |only
 man/SHELF-package.Rd                                  |    2 
 man/cdffeedback.Rd                                    |   13 +-
 man/cdfplot.Rd                                        |   16 ++
 man/compareIntervals.Rd                               |   10 +
 man/elicitHeterogen.Rd                                |   10 +
 man/elicitMixture.Rd                                  |only
 man/elicitQuartiles.Rd                                |    1 
 man/elicitTertiles.Rd                                 |    1 
 man/feedback.Rd                                       |    5 
 man/fitDirichlet.Rd                                   |   13 +-
 man/fitdist.Rd                                        |   13 +-
 man/fitprecision.Rd                                   |   13 +-
 man/generateReport.Rd                                 |   14 +-
 man/linearPoolDensity.Rd                              |    3 
 man/makeCDFPlot.Rd                                    |   23 +++
 man/pdfplots.Rd                                       |   13 +-
 man/plinearpool.Rd                                    |    7 -
 man/plotConditionalDensities.Rd                       |   14 ++
 man/plotConditionalMedianFunction.Rd                  |   14 +-
 man/plotfit.Rd                                        |   25 +++-
 man/sampleMarginalFit.Rd                              |   11 +
 51 files changed, 478 insertions(+), 195 deletions(-)

More information about SHELF at CRAN
Permanent link

Package CORElearn updated to version 1.54.2 with previous version 1.53.1 dated 2018-09-29

Title: Classification, Regression and Feature Evaluation
Description: A suite of machine learning algorithms written in C++ with the R interface contains several learning techniques for classification and regression. Predictive models include e.g., classification and regression trees with optional constructive induction and models in the leaves, random forests, kNN, naive Bayes, and locally weighted regression. All predictions obtained with these models can be explained and visualized with the 'ExplainPrediction' package. This package is especially strong in feature evaluation where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini, information gain, MDL, and DKM. These methods can be used for feature selection or discretization of numeric attributes. The OrdEval algorithm and its visualization is used for evaluation of data sets with ordinal features and class, enabling analysis according to the Kano model of customer satisfaction. Several algorithms support parallel multithreaded execution via OpenMP. The top-level documentation is reachable through ?CORElearn.
Author: Marko Robnik-Sikonja and Petr Savicky
Maintainer: "Marko Robnik-Sikonja" <marko.robnik@fri.uni-lj.si>

Diff between CORElearn versions 1.53.1 dated 2018-09-29 and 1.54.2 dated 2020-02-08

 ChangeLog             |  237 +++---
 DESCRIPTION           |   12 
 MD5                   |   38 -
 NAMESPACE             |   57 -
 R/Rinterface.R        |    5 
 R/ordEval.R           |  966 +++++++++++++-------------
 R/rfVisualize.R       |    2 
 man/attrEval.Rd       |   16 
 man/ordEval.Rd        |    1 
 man/paramCoreIO.Rd    |    3 
 man/plot.CoreModel.Rd |   32 
 man/plot.ordEval.Rd   |  230 +++---
 man/preparePlot.Rd    |    7 
 man/saveRF.Rd         |    6 
 src/dataStore.cpp     | 1546 +++++++++++++++++++++---------------------
 src/frontend.cpp      |    2 
 src/rndforest.cpp     | 1821 +++++++++++++++++++++++++-------------------------
 src/treenode.cpp      | 1178 ++++++++++++++++----------------
 src/treenodeReg.cpp   | 1206 ++++++++++++++++-----------------
 src/utils.cpp         | 1071 ++++++++++++++---------------
 20 files changed, 4288 insertions(+), 4148 deletions(-)

More information about CORElearn at CRAN
Permanent link

Package riceidconverter updated to version 1.1.0 with previous version 1.0.6 dated 2020-01-24

Title: Convert Biological ID from RAP or MSU to SYMBOL for Oryza Sativa
Description: Convert one biological ID to another of rice (Oryza sativa). Rice(Oryza sativa) has more than one form gene ID for the genome. The two main gene ID for rice genome are the RAP (The Rice Annotation Project, <https://rapdb.dna.affrc.go.jp/>, and the MSU(The Rice Genome Annotation Project, <http://rice.plantbiology.msu.edu/>. All RAP rice gene IDs are of the form Os##g####### as explained on the website <https://rapdb.dna.affrc.go.jp/>. All MSU rice gene IDs are of the form LOC_Os##g##### as explained on the website <http://rice.plantbiology.msu.edu/analyses_nomenclature.shtml>. All SYMBOL rice gene IDs are the unique name on the NCBI(National Center for Biotechnology Information, <https://www.ncbi.nlm.nih.gov/>. The TRANSCRIPTID, is the transcript id of rice, are of the form Os##t#######. The researchers usually need to converter between various IDs. Such as converter RAP to SYMBOLS for function searching on NCBI. There are a lot of websites with the function for converting RAP to MSU or MSU to RA, such as 'ID Converter' <https://rapdb.dna.affrc.go.jp/tools/converter>. But it is difficult to convert super multiple IDs on these websites. The package can convert all IDs between the three IDs (RAP, MSU and SYMBOL) regardless of the number.
Author: Xiang LI
Maintainer: Xiang LI <ynaulx@gmail.com>

Diff between riceidconverter versions 1.0.6 dated 2020-01-24 and 1.1.0 dated 2020-02-08

 DESCRIPTION          |    6 +++---
 MD5                  |    6 +++---
 R/RiceIDConvert.R    |   40 +++++++++-------------------------------
 man/RiceIDConvert.Rd |    9 +++------
 4 files changed, 18 insertions(+), 43 deletions(-)

More information about riceidconverter at CRAN
Permanent link

Package SharpeR updated to version 1.2.1 with previous version 1.2.0 dated 2018-10-07

Title: Statistical Significance of the Sharpe Ratio
Description: A collection of tools for analyzing significance of assets, funds, and trading strategies, based on the Sharpe ratio and overfit of the same. Provides density, distribution, quantile and random generation of the Sharpe ratio distribution based on normal returns, as well as the optimal Sharpe ratio over multiple assets. Computes confidence intervals on the Sharpe and provides a test of equality of Sharpe ratios based on the Delta method. The statistical foundations of the Sharpe can be found in the author's Short Sharpe Course <doi:10.2139/ssrn.3036276>.
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between SharpeR versions 1.2.0 dated 2018-10-07 and 1.2.1 dated 2020-02-08

 ChangeLog                        |    5 +
 DESCRIPTION                      |   19 +++----
 MD5                              |  101 ++++++++++++++++++++-------------------
 NAMESPACE                        |    1 
 R/SharpeR.r                      |    7 ++
 R/data.r                         |only
 R/distributions.r                |    7 +-
 R/estimation.r                   |   10 +--
 R/sr.r                           |   57 ++++++----------------
 R/tests.r                        |   27 ++++------
 R/unified.r                      |    8 +--
 R/utils.r                        |    4 +
 build/vignette.rds               |binary
 data                             |only
 inst/doc/AsymptoticMarkowitz.pdf |binary
 inst/doc/SharpeR.R               |   10 +--
 inst/doc/SharpeR.Rnw             |   12 ++--
 inst/doc/SharpeR.pdf             |binary
 inst/doc/SharpeRatio.pdf         |binary
 man/NEWS.Rd                      |    9 +++
 man/SharpeR.Rd                   |    1 
 man/as.del_sropt.Rd              |   26 +++-------
 man/as.sr.Rd                     |   58 +++++++++++-----------
 man/as.sropt.Rd                  |   35 +++++--------
 man/confint.Rd                   |   78 +++++++++++++++++++++---------
 man/del_sropt.Rd                 |    6 +-
 man/dsr.Rd                       |   27 ++++++----
 man/dsropt.Rd                    |   15 +++--
 man/inference.Rd                 |    4 +
 man/is.del_sropt.Rd              |    6 +-
 man/is.sr.Rd                     |   25 ++++++---
 man/is.sropt.Rd                  |   15 +++--
 man/ism_vcov.Rd                  |    4 -
 man/pco_sropt.Rd                 |   19 ++++---
 man/plambdap.Rd                  |   25 ++++++---
 man/power.sr_test.Rd             |   25 ++++++---
 man/power.sropt_test.Rd          |   15 +++--
 man/predint.Rd                   |   29 ++++++-----
 man/print.Rd                     |   25 ++++++---
 man/reannualize.Rd               |   40 ++++++++++-----
 man/se.Rd                        |   27 ++++++----
 man/sm_vcov.Rd                   |    4 -
 man/sr.Rd                        |   36 ++++++++++---
 man/sr_equality_test.Rd          |   51 +++++++++++--------
 man/sr_test.Rd                   |   39 ++++++++++-----
 man/sr_unpaired_test.Rd          |   38 +++++++++-----
 man/sr_vcov.Rd                   |   29 +++++++----
 man/sric.Rd                      |    4 +
 man/sropt.Rd                     |   15 +++--
 man/sropt_test.Rd                |   15 +++--
 man/stock_returns.Rd             |only
 man/summary.Rd                   |   28 ++++++----
 vignettes/SharpeR.Rnw            |   12 ++--
 53 files changed, 624 insertions(+), 429 deletions(-)

More information about SharpeR at CRAN
Permanent link

Package rugarch updated to version 1.4-2 with previous version 1.4-1 dated 2019-01-16

Title: Univariate GARCH Models
Description: ARFIMA, in-mean, external regressors and various GARCH flavors, with methods for fit, forecast, simulation, inference and plotting.
Author: Alexios Ghalanos [aut, cre], Tobias Kley [ctb]
Maintainer: Alexios Ghalanos <alexios@4dscape.com>

Diff between rugarch versions 1.4-1 dated 2019-01-16 and 1.4-2 dated 2020-02-08

 .Rinstignore                                      |    4 
 ChangeLog                                         |  857 +-
 DESCRIPTION                                       |   10 
 MD5                                               |  288 
 NAMESPACE                                         |   98 
 R/arfima-classes.R                                |  248 
 R/arfima-main.R                                   | 3210 ++++----
 R/arfima-methods.R                                | 2198 +++---
 R/arfima-multi.R                                  |  438 -
 R/rugarch-aparch.R                                | 2734 +++----
 R/rugarch-armafor.R                               |  246 
 R/rugarch-benchmarks.R                            |  496 -
 R/rugarch-bootstrap.R                             | 1604 ++--
 R/rugarch-classes.R                               |  308 
 R/rugarch-csgarch.R                               | 2872 ++++----
 R/rugarch-cv.R                                    |  562 -
 R/rugarch-cwrappers.R                             |  372 -
 R/rugarch-distributions.R                         | 4310 ++++++------
 R/rugarch-egarch.R                                | 2740 +++----
 R/rugarch-fgarch.R                                | 2852 +++----
 R/rugarch-figarch.R                               | 2178 +++---
 R/rugarch-gjrgarch.R                              | 2846 +++----
 R/rugarch-graphs.R                                | 1940 ++---
 R/rugarch-helperfn.R                              | 1538 ++--
 R/rugarch-igarch.R                                | 2714 +++----
 R/rugarch-imports.R                               | 1268 +--
 R/rugarch-kappa.R                                 |  574 -
 R/rugarch-lossfn.R                                |  142 
 R/rugarch-mcsgarch.R                              | 3146 ++++----
 R/rugarch-methods.R                               | 7880 +++++++++++-----------
 R/rugarch-multi.R                                 | 1084 +--
 R/rugarch-numderiv.R                              |  310 
 R/rugarch-plots.R                                 | 4410 ++++++------
 R/rugarch-realgarch.R                             | 3362 ++++-----
 R/rugarch-rolling.R                               | 1086 +--
 R/rugarch-series.R                                |  538 -
 R/rugarch-sgarch.R                                | 2760 +++----
 R/rugarch-solvers.R                               |  932 +-
 R/rugarch-startpars.R                             | 3684 +++++-----
 R/rugarch-tests.R                                 | 2486 +++---
 R/rugarch-uncertainty.R                           |  380 -
 R/zzz.R                                           |   40 
 README.md                                         |   12 
 build/vignette.rds                                |binary
 data/dji30ret.rda                                 |binary
 inst/CITATION                                     |   42 
 inst/COPYRIGHTS                                   |   20 
 inst/doc/Introduction_to_the_rugarch_package.Rnw  |   74 
 inst/doc/Introduction_to_the_rugarch_package.pdf  |binary
 inst/rugarch.tests/rugarch.test1.R                | 1842 ++---
 inst/rugarch.tests/rugarch.test10.R               | 1198 +--
 inst/rugarch.tests/rugarch.test11.R               |  104 
 inst/rugarch.tests/rugarch.test12.R               |  484 -
 inst/rugarch.tests/rugarch.test13.R               |  488 -
 inst/rugarch.tests/rugarch.test14.R               |  198 
 inst/rugarch.tests/rugarch.test2.R                |  894 +-
 inst/rugarch.tests/rugarch.test3.R                | 1022 +-
 inst/rugarch.tests/rugarch.test4.R                |  874 +-
 inst/rugarch.tests/rugarch.test5.R                |  862 +-
 inst/rugarch.tests/rugarch.test6.R                | 1312 +--
 inst/rugarch.tests/rugarch.test7.R                |  248 
 inst/rugarch.tests/rugarch.test8.R                |  534 -
 inst/rugarch.tests/rugarch.test9.R                |  538 -
 inst/rugarch.tests/runtests.R                     |  190 
 man/ARFIMA-class.Rd                               |   34 
 man/ARFIMAdistribution-class.Rd                   |   90 
 man/ARFIMAfilter-class.Rd                         |  106 
 man/ARFIMAfit-class.Rd                            |  146 
 man/ARFIMAforecast-class.Rd                       |  110 
 man/ARFIMAmultifilter-class.Rd                    |   74 
 man/ARFIMAmultifit-class.Rd                       |   76 
 man/ARFIMAmultiforecast-class.Rd                  |   58 
 man/ARFIMAmultispec-class.Rd                      |   50 
 man/ARFIMApath-class.Rd                           |   60 
 man/ARFIMAroll-class.Rd                           |  148 
 man/ARFIMAsim-class.Rd                            |   60 
 man/ARFIMAspec-class.Rd                           |   88 
 man/BerkowitzTest.Rd                              |  210 
 man/DACTest.Rd                                    |  116 
 man/DateTimeUtilities.Rd                          |  208 
 man/ESTest.Rd                                     |  152 
 man/GARCHboot-class.Rd                            |   34 
 man/GARCHdistribution-class.Rd                    |   34 
 man/GARCHfilter-class.Rd                          |   34 
 man/GARCHfit-class.Rd                             |   34 
 man/GARCHforecast-class.Rd                        |   36 
 man/GARCHpath-class.Rd                            |   36 
 man/GARCHroll-class.Rd                            |   34 
 man/GARCHsim-class.Rd                             |   36 
 man/GARCHspec-class.Rd                            |   36 
 man/GARCHtests-class.Rd                           |   34 
 man/GMMTest.Rd                                    |  126 
 man/HLTest.Rd                                     |  136 
 man/VaRDurTest.Rd                                 |  150 
 man/VaRTest.Rd                                    |  140 
 man/VaRloss.Rd                                    |   56 
 man/VaRplot.Rd                                    |   52 
 man/arfimacv.Rd                                   |  198 
 man/arfimadistribution-methods.Rd                 |  138 
 man/arfimafilter-methods.Rd                       |   82 
 man/arfimafit-methods.Rd                          |  126 
 man/arfimaforecast-methods.Rd                     |  108 
 man/arfimapath-methods.Rd                         |   88 
 man/arfimaroll-methods.Rd                         |  222 
 man/arfimasim-methods.Rd                          |   94 
 man/arfimaspec-methods.Rd                         |  142 
 man/autoarfima.Rd                                 |  124 
 man/dji30ret.Rd                                   |   28 
 man/dmbp.Rd                                       |   40 
 man/ghyptransform.Rd                              |   82 
 man/mcs.Rd                                        |   82 
 man/multifilter-methods.Rd                        |   98 
 man/multifit-methods.Rd                           |  112 
 man/multiforecast-methods.Rd                      |  110 
 man/multispec-methods.Rd                          |   76 
 man/rGARCH-class.Rd                               |   30 
 man/rugarch-package.Rd                            |  272 
 man/sp500ret.Rd                                   |   24 
 man/spyreal.Rd                                    |   36 
 man/uGARCHboot-class.Rd                           |   96 
 man/uGARCHdistribution-class.Rd                   |  116 
 man/uGARCHfilter-class.Rd                         |  200 
 man/uGARCHfit-class.Rd                            |  464 -
 man/uGARCHforecast-class.Rd                       |  152 
 man/uGARCHmultifilter-class.Rd                    |   74 
 man/uGARCHmultifit-class.Rd                       |   84 
 man/uGARCHmultiforecast-class.Rd                  |   58 
 man/uGARCHmultispec-class.Rd                      |   40 
 man/uGARCHpath-class.Rd                           |   82 
 man/uGARCHroll-class.Rd                           |  206 
 man/uGARCHsim-class.Rd                            |  126 
 man/uGARCHspec-class.Rd                           |  148 
 man/ugarchbench.Rd                                |   70 
 man/ugarchboot-methods.Rd                         |  280 
 man/ugarchdist.Rd                                 |  294 
 man/ugarchdistribution-methods.Rd                 |  192 
 man/ugarchfilter-methods.Rd                       |  140 
 man/ugarchfit-methods.Rd                          |  284 
 man/ugarchforecast-methods.Rd                     |  188 
 man/ugarchpath-methods.Rd                         |  188 
 man/ugarchroll-methods.Rd                         |  246 
 man/ugarchsim-methods.Rd                          |  194 
 man/ugarchspec-methods.Rd                         |  344 
 vignettes/Introduction_to_the_rugarch_package.Rnw |   74 
 vignettes/rugarch.tex                             | 3978 +++++------
 vignettes/rugarchbib.bib                          | 1656 ++--
 146 files changed, 48880 insertions(+), 48881 deletions(-)

More information about rugarch at CRAN
Permanent link

Package madness updated to version 0.2.7 with previous version 0.2.6 dated 2019-04-19

Title: Automatic Differentiation of Multivariate Operations
Description: An object that supports automatic differentiation of matrix- and multidimensional-valued functions with respect to multidimensional independent variables. Automatic differentiation is via 'forward accumulation'.
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between madness versions 0.2.6 dated 2019-04-19 and 0.2.7 dated 2020-02-08

 DESCRIPTION                       |   20 ++++----
 MD5                               |   89 +++++++++++++++++++-------------------
 R/Ops.r                           |    4 -
 R/coerce.r                        |    3 -
 R/det.r                           |    2 
 R/diag.r                          |    1 
 R/eigen.r                         |    1 
 R/madness_pkg.r                   |    5 ++
 R/matwise.r                       |    1 
 R/norm.r                          |    2 
 R/reshape.r                       |    3 -
 R/sums.r                          |    5 --
 R/trace.r                         |    4 -
 build/vignette.rds                |binary
 data/stock_returns.rda            |binary
 data/wff3.rda                     |binary
 inst/doc/introducing_madness.R    |only
 inst/doc/introducing_madness.pdf  |binary
 man/NEWS.Rd                       |    7 ++
 man/accessor-methods.Rd           |    1 
 man/arithops.Rd                   |    1 
 man/as.Rd                         |    1 
 man/bind.Rd                       |    1 
 man/colsums.Rd                    |    3 -
 man/det.Rd                        |    1 
 man/eigen.Rd                      |    8 +--
 man/elwise.Rd                     |    1 
 man/extract-methods.Rd            |    8 +--
 man/madness-class.Rd              |   10 +++-
 man/madness-pkg.Rd                |    1 
 man/marithops.Rd                  |    3 -
 man/matrix.trace.Rd               |    2 
 man/matwise.Rd                    |    1 
 man/max.Rd                        |    3 -
 man/norm.Rd                       |    5 --
 man/numderiv.Rd                   |    7 --
 man/outer.Rd                      |    3 -
 man/reshapes.Rd                   |    1 
 man/setter-methods.Rd             |    1 
 man/show-methods.Rd               |    1 
 man/solve.Rd                      |    1 
 man/sumprod.Rd                    |    3 -
 man/todiag.Rd                     |    1 
 man/vec.Rd                        |    1 
 tests/testthat/test-basic.r       |   13 +++--
 tests/testthat/test-correctness.r |    2 
 46 files changed, 102 insertions(+), 129 deletions(-)

More information about madness at CRAN
Permanent link

Package EML updated to version 2.0.2 with previous version 2.0.1 dated 2019-12-09

Title: Read and Write Ecological Metadata Language Files
Description: Work with Ecological Metadata Language ('EML') files. 'EML' is a widely used metadata standard in the ecological and environmental sciences, described in Jones et al. (2006), <doi:10.1146/annurev.ecolsys.37.091305.110031>.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Matthew B. Jones [aut] (<https://orcid.org/0000-0003-0077-4738>), Mitchell Maier [ctb] (<https://orcid.org/0000-0001-6955-0535>), Bryce Mecum [ctb] (<https://orcid.org/0000-0002-0381-3766>), Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>), Jeanette Clark [ctb] (<https://orcid.org/0000-0003-4703-1974>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between EML versions 2.0.1 dated 2019-12-09 and 2.0.2 dated 2020-02-08

 DESCRIPTION                                 |   17 ++++----
 MD5                                         |   38 +++++++++----------
 NEWS.md                                     |    7 +++
 R/eml_validate.R                            |    1 
 R/set_coverage.R                            |   54 +++++-----------------------
 build/vignette.rds                          |binary
 inst/WORDLIST                               |    1 
 inst/doc/creating-EML.R                     |   46 +++++++++++------------
 inst/doc/creating-EML.html                  |   15 +++----
 inst/doc/working-with-units.R               |   12 +++---
 inst/doc/working-with-units.html            |   15 +++----
 man/eml_validate.Rd                         |    2 -
 man/set_TextType.Rd                         |    6 ++-
 man/set_attributes.Rd                       |    8 +++-
 man/set_coverage.Rd                         |   14 +++++--
 man/set_methods.Rd                          |   12 ++++--
 man/set_physical.Rd                         |   29 ++++++++++-----
 man/set_responsibleParty.Rd                 |   17 ++++++--
 man/set_taxonomicCoverage.Rd                |    6 +--
 tests/testthat/test-set_taxonomicCoverage.R |    8 +++-
 20 files changed, 160 insertions(+), 148 deletions(-)

More information about EML at CRAN
Permanent link

Package coxsei updated to version 0.3 with previous version 0.1 dated 2015-02-24

Title: Fitting a CoxSEI Model
Description: Fit a CoxSEI (Cox type Self-Exciting Intensity) model to right-censored counting process data.
Author: Feng Chen <feng.chen@unsw.edu.au>
Maintainer: Feng Chen <feng.chen@unsw.edu.au>

Diff between coxsei versions 0.1 dated 2015-02-24 and 0.3 dated 2020-02-08

 DESCRIPTION                 |   10 +++++-----
 MD5                         |   15 ++++++++-------
 NAMESPACE                   |    8 +++++++-
 data/dat.rda                |binary
 man/RND.Rd                  |   10 +++++-----
 man/coxsei-package.Rd       |    8 --------
 man/coxsei.Rd               |    2 +-
 man/coxseiest.Rd            |    9 ++++++++-
 src/registerDanamicSymbol.c |only
 9 files changed, 34 insertions(+), 28 deletions(-)

More information about coxsei at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.