Sat, 08 Jun 2019

Package bnviewer updated to version 0.1.3 with previous version 0.1.2 dated 2019-03-31

Title: Interactive Visualization of Bayesian Networks
Description: Bayesian networks provide an intuitive framework for probabilistic reasoning and its graphical nature can be interpreted quite clearly. Graph based methods of machine learning are becoming more popular because they offer a richer model of knowledge that can be understood by a human in a graphical format. The 'bnviewer' is an R Package that allows the interactive visualization of Bayesian Networks. The aim of this package is to improve the Bayesian Networks visualization over the basic and static views offered by existing packages.
Author: Robson Fernandes
Maintainer: Robson Fernandes <robs.fernandes@outlook.com>

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Package workflowr updated to version 1.4.0 with previous version 1.3.0 dated 2019-04-15

Title: A Framework for Reproducible and Collaborative Data Science
Description: Provides a workflow for your analysis projects by combining literate programming ('knitr' and 'rmarkdown') and version control ('Git', via 'git2r') to generate a website containing time-stamped, versioned, and documented results.
Author: John Blischak [aut, cre] (<https://orcid.org/0000-0003-2634-9879>), Peter Carbonetto [aut] (<https://orcid.org/0000-0003-1144-6780>), Matthew Stephens [aut] (<https://orcid.org/0000-0001-5397-9257>), Luke Zappia [ctb] (Instructions for hosting with GitLab), Pierre Formont [ctb] (Support for hosting with Shiny Server), Tim Trice [ctb] (Instructions for sharing common code), Jiaxiang Li [ctb] (Function wflow_toc() to create table of contents)
Maintainer: John Blischak <jdblischak@uchicago.edu>

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Package seriation updated to version 1.2-7 with previous version 1.2-6 dated 2019-06-04

Title: Infrastructure for Ordering Objects Using Seriation
Description: Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordination techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT).
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Kurt Hornik [aut, cph], Fionn Murtagh [ctb, cph], Michael Brusco [ctb, cph], Stephanie Stahl [ctb, cph], Hans-Friedrich Koehn [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package rscala updated to version 3.2.11 with previous version 3.2.10 dated 2019-05-29

Title: Bridge Between 'R' and 'Scala' with Callbacks
Description: 'Scala' <http://www.scala-lang.org/> is embedded in 'R' and callbacks from 'Scala' to 'R' are available. Support is provided to write 'R' packages that access 'Scala'. After installation, please run 'rscala::scalaConfig()'.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package regnet updated to version 0.4.0 with previous version 0.3.0 dated 2018-05-22

Title: Network-Based Regularization for Generalized Linear Models
Description: Network-based regularization has achieved success in variable selection for high-dimensional biological data due to its ability to incorporate correlations among genomic features. This package provides procedures of network-based variable selection for generalized linear models (Ren et al. (2017) <doi:10.1186/s12863-017-0495-5> and Ren et al. (2019) <doi:10.1002/gepi.22194>). Two recent additions are the robust network regularization for the survival response and the network regularization for continuous response. Functions for other regularization methods will be included in the forthcoming upgraded versions.
Author: Jie Ren, Luann C. Jung, Yinhao Du, Cen Wu, Yu Jiang, Junhao Liu
Maintainer: Jie Ren <jieren@ksu.edu>

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Package pense updated to version 1.2.5 with previous version 1.2.4 dated 2019-04-27

Title: Penalized Elastic Net S/MM-Estimator of Regression
Description: Robust penalized elastic net S and MM estimator for linear regression. The method is described in detail in Cohen Freue, G. V., Kepplinger, D., Salibian-Barrera, M., and Smucler, E. (2017) <https://gcohenfr.github.io/pdfs/PENSE_manuscript.pdf>.
Author: David Kepplinger [aut, cre], Matias Salibian-Barrera [aut], Gabriela Cohen Freue [aut], Derek Cho [ctb]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

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Package NeuralSens updated to version 0.0.3 with previous version 0.0.2 dated 2019-06-04

Title: Sensitivity Analysis of Neural Networks
Description: Analysis functions to quantify inputs importance in neural network models. Functions are available for calculating and plotting the inputs importance and obtaining the activation function of each neuron layer and its derivatives. The importance of a given input is defined as the distribution of the derivatives of the output with respect to that input in each training data point.
Author: José Portela González [aut], Jaime Pizarroso Gonzalo [ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@alu.comillas.edu>

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Package cricketr updated to version 0.0.19 with previous version 0.0.17 dated 2019-03-07

Title: Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru
Description: Tools for analyzing performances of cricketers based on stats in ESPN Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and Twenty20 matches of both batsmen and bowlers. The package can also be used to analyze team performances.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

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Package photobiology updated to version 0.9.28 with previous version 0.9.27 dated 2019-04-25

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima. Conversion between energy- and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package bigleaf updated to version 0.7.1 with previous version 0.7.0 dated 2019-03-20

Title: Physical and Physiological Ecosystem Properties from Eddy Covariance Data
Description: Calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties from eddy covariance data and accompanying meteorological measurements. Calculations assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.
Author: Juergen Knauer [aut, cre], Soenke Zaehle [ctb], Tarek El-Madany [ctb], Mirco Migliavacca [ctb], Thomas Wutzler [aut]
Maintainer: Juergen Knauer <Juergen.Knauer@csiro.au>

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New package PakPMICS2018mm with initial version 0.1.0
Package: PakPMICS2018mm
Type: Package
Title: Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal Mortality Questionnaire Data for Punjab, Pakistan
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Muhammad", "Usman"), email = "usmann75@hotmail.com", role = c("ctb")) )
Author: Muhammad Yaseen [aut, cre], Muhammad Usman [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal Mortality questionnaire data for Punjab, Pakistan. The results of the present survey are critically important for the purposes of Sustainable Development Goals (SDGs) monitoring, as the survey produces information on 32 global Sustainable Development Goals (SDGs) indicators. The data was collected from 53,840 households selected at the second stage with systematic random sampling out of a sample of 2,692 clusters selected using probability proportional to size sampling. Six questionnaires were used in the survey: (1) a household questionnaire to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; (2) a water quality testing questionnaire administered in three households in each cluster of the sample; (3) a questionnaire for individual women administered in each household to all women age 15-49 years; (4) a questionnaire for individual men administered in every second household to all men age 15-49 years; (5) an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and (6) a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household (<http://www.mics.unicef.org/surveys>).
Depends: R (>= 3.5.0)
Imports: tibble
License: GPL-2
URL: https://github.com/myaseen208/PakPMICS2018mm, https://myaseen208.github.io/PakPMICS2018mm/
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Note: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad-Pakistan.
Suggests: testthat, R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-06-08 05:31:19 UTC; myaseen
Repository: CRAN
Date/Publication: 2019-06-08 09:40:03 UTC

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Package chinese.misc updated to version 0.2.1 with previous version 0.2.0 dated 2019-03-03

Title: Miscellaneous Tools for Chinese Text Mining and More
Description: Efforts are made to make Chinese text mining easier, faster, and robust to errors. Document term matrix can be generated by only one line of code; detecting encoding, segmenting and removing stop words are done automatically. Some convenient tools are also supplied.
Author: Jiang Wu [aut, cre] (from Capital Normal University)
Maintainer: Jiang Wu <textidea@sina.com>

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New package Rinstapkg with initial version 0.1.0
Package: Rinstapkg
Title: An Implementation of the 'Instagram' API Using Tidy Principles
Version: 0.1.0
Date: 2019-06-07
Description: Provides functions to use the 'Instagram' API to get feed and user information, but also performs basic in-app functionality such as liking, commenting, following, and blocking. Use of this package means that you will not use it to spam, harass, or perform other nefarious acts. For more details on how to use the API please see this package's website <https://eric88tchong.github.io/Rinstapkg/> for more information, documentation, and examples.
Authors@R: c( person("Eric", "Tchong", , "est2fr@virginia.edu", c("aut", "cre")), person(c("Steven", "M."), "Mortimer", , "reportmort@gmail.com", c("ctb")), person("Jennifer", "Bryan", , "jenny@rstudio.com", c("ctb", "cph")), person("Joanna", "Zhao", , "joanna.zhao@alumni.ubc.ca", c("ctb", "cph")) )
URL: https://github.com/eric88tchong/Rinstapkg
BugReports: https://github.com/eric88tchong/Rinstapkg/issues
Encoding: UTF-8
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
LazyData: true
Imports: methods, httr, dplyr, jsonlite, purrr, readr, lubridate, digest, uuid, rlang
Suggests: knitr, testthat, rmarkdown, here
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-07 14:00:20 UTC; steven.mortimer
Author: Eric Tchong [aut, cre], Steven M. Mortimer [ctb], Jennifer Bryan [ctb, cph], Joanna Zhao [ctb, cph]
Maintainer: Eric Tchong <est2fr@virginia.edu>
Repository: CRAN
Date/Publication: 2019-06-08 08:20:04 UTC

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New package missSBM with initial version 0.2.0
Package: missSBM
Type: Package
Title: Handling Missing Data in Stochastic Block Models
Version: 0.2.0
Authors@R: c( person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inra.fr", comment = c(ORCID = "0000-0002-3629-3429")), person("Pierre", "Barbillon", role = c("aut"), email = "pierre.barbillon@agroparistech.fr", comment = c(ORCID = "0000-0002-7766-7693")), person("Timothée", "Tabouy", role = c("aut"), email = "timothee.tabouy@agroparistech.fr") )
Maintainer: Julien Chiquet <julien.chiquet@inra.fr>
Description: When a network is partially observed (here, NAs in the adjacency matrix rather than 1 or 0 due to missing information between node pairs), it is possible to account for the underlying process that generates those NAs. 'missSBM' adjusts the popular stochastic block model from network data sampled under various missing data conditions, as described in Tabouy, Barbillon and Chiquet (2019) <doi:10.1080/01621459.2018.1562934>.
URL: https://jchiquet.github.io/missSBM
BugReports: https://github.com/jchiquet/missSBM/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.4.0)
Imports: Rcpp, methods, ape, igraph, nloptr, corrplot, R6, magrittr
LinkingTo: Rcpp, RcppArmadillo
Collate: 'RcppExports.R' 'SBM-Class.R' 'SBM_fit-Class.R' 'SBM_fit_covariates-Class.R' 'SBM_fit_nocovariate-Class.R' 'SBM_sampler-Class.R' 'er_network.R' 'estimate.R' 'frenchblog2007.R' 'missSBM-package.R' 'utils_missSBM.R' 'networkSampling-Class.R' 'networkSampling_fit-Class.R' 'missSBM_fit-Class.R' 'missSBM_collection-Class.R' 'networkSampler-Class.R' 'prepare_data.R' 'sample.R' 'sampledNetwork-Class.R' 'simulate.R' 'utils-pipe.R' 'utils_initialization.R' 'war.R'
Suggests: aricode, blockmodels, testthat, covr, knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-06-07 12:08:02 UTC; jchiquet
Author: Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Pierre Barbillon [aut] (<https://orcid.org/0000-0002-7766-7693>), Timothée Tabouy [aut]
Repository: CRAN
Date/Publication: 2019-06-08 08:10:03 UTC

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Package AFM updated to version 1.2.6 with previous version 1.2.4 dated 2018-04-28

Title: Atomic Force Microscope Image Analysis
Description: Provides Atomic Force Microscope images analysis such as Gaussian mixes identification, Power Spectral Density, roughness against lengthscale, experimental variogram and variogram models, fractal dimension and scale, 2D network analysis. The AFM images can be exported to STL format for 3D printing.
Author: Mathieu Beauvais [aut, cre], Irma Liascukiene [aut], Jessem Landoulsi [aut]
Maintainer: Mathieu Beauvais <beauvais.escp@gmail.com>

Diff between AFM versions 1.2.4 dated 2018-04-28 and 1.2.6 dated 2019-06-08

 DESCRIPTION                                                     |   24 
 MD5                                                             |   76 -
 NAMESPACE                                                       |    6 
 NEWS                                                            |    7 
 R/AFM3DPrinter.R                                                |    2 
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 R/AFMImage.R                                                    |    2 
 R/AFMImageAnalyser.R                                            |    5 
 R/AFMNetworksAnalyser.R                                         |  100 -
 R/AFMPSDAnalyser.R                                              |  137 +-
 R/AFMReportMaker.R                                              |   77 +
 R/pkgname.R                                                     |    4 
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 inst/shiny/AFM-desktop/server.R                                 |  661 +++++++++-
 inst/shiny/AFM-desktop/ui.R                                     |   53 
 man/AFM.Rd                                                      |    2 
 man/AFMImage-class.Rd                                           |    9 
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 man/AFMImageAnalyser-class.Rd                                   |    5 
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 man/AFMImageNetworksAnalysis-class.Rd                           |    5 
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 man/AFMImageVariogramAnalysis-evaluateVariogramModels-method.Rd |    1 
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 man/AFMImageVariogramAnalysis-getDTModelSillRange-method.Rd     |    1 
 man/AFMImageVariogramModel-class.Rd                             |    5 
 man/AFMImageVariogramSlopesAnalysis-class.Rd                    |    5 
 man/calculate3DModel-methods.Rd                                 |    3 
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 man/pnormmix.Rd                                                 |only
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 tests/testthat/testAFMReportMaker.R                             |    1 
 44 files changed, 1062 insertions(+), 256 deletions(-)

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Package stream updated to version 1.3-1 with previous version 1.3-0 dated 2018-06-02

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912.
Author: Michael Hahsler [aut, cre, cph], Matthew Bolanos [aut, cph], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between stream versions 1.3-0 dated 2018-06-02 and 1.3-1 dated 2019-06-08

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 stream-1.3-1/stream/DESCRIPTION                                     |   26 +--
 stream-1.3-1/stream/MD5                                             |   67 ++++------
 stream-1.3-1/stream/NAMESPACE                                       |    5 
 stream-1.3-1/stream/NEWS.md                                         |   16 ++
 stream-1.3-1/stream/R/AAA.R                                         |   13 +
 stream-1.3-1/stream/R/DSC_BICO.R                                    |   17 --
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 stream-1.3-1/stream/R/animation.R                                   |    3 
 stream-1.3-1/stream/R/zzz.R                                         |    3 
 stream-1.3-1/stream/README.md                                       |    4 
 stream-1.3-1/stream/build/vignette.rds                              |binary
 stream-1.3-1/stream/inst/CITATION                                   |   11 -
 stream-1.3-1/stream/inst/doc/stream.pdf                             |binary
 stream-1.3-1/stream/inst/doc/stream_extension.pdf                   |binary
 stream-1.3-1/stream/man/DSC.Rd                                      |    2 
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 stream-1.3-1/stream/man/animation.Rd                                |    2 
 stream-1.3-1/stream/src/BICO.cpp                                    |   39 +++--
 stream-1.3-1/stream/src/BICO/bico.h                                 |   20 +-
 stream-1.3-1/stream/src/BICO/kmeans.h                               |   54 ++++----
 stream-1.3-1/stream/src/BICO/kmeansevaluator.h                      |    8 -
 stream-1.3-1/stream/src/BICO/master.h                               |    4 
 stream-1.3-1/stream/src/BICO/point.cpp                              |   48 +++----
 stream-1.3-1/stream/src/BICO/point.h                                |    6 
 stream-1.3-1/stream/src/BICO/proxysolution.h                        |    6 
 stream-1.3-1/stream/src/BICO/realspaceprovider.cpp                  |    2 
 stream-1.3-1/stream/src/DBSTREAM.cpp                                |    8 +
 stream-1.3-1/stream/src/Makevars                                    |    2 
 stream-1.3-1/stream/src/RcppExports.cpp                             |    2 
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 40 files changed, 210 insertions(+), 184 deletions(-)

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Package MachineShop updated to version 1.4.0 with previous version 1.3.0 dated 2019-04-23

Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a common interface for model fitting, prediction, performance assessment, and presentation of results. Supports predictive modeling of numerical, categorical, and censored time-to-event outcomes and resample (bootstrap and cross-validation) estimation of model performance.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

Diff between MachineShop versions 1.3.0 dated 2019-04-23 and 1.4.0 dated 2019-06-08

 MachineShop-1.3.0/MachineShop/R/metrics-factor.R                      |only
 MachineShop-1.3.0/MachineShop/R/metrics-numeric.R                     |only
 MachineShop-1.4.0/MachineShop/DESCRIPTION                             |   20 
 MachineShop-1.4.0/MachineShop/MD5                                     |  110 
 MachineShop-1.4.0/MachineShop/NAMESPACE                               |    3 
 MachineShop-1.4.0/MachineShop/NEWS.md                                 |   21 
 MachineShop-1.4.0/MachineShop/R/AllClasses.R                          |   65 
 MachineShop-1.4.0/MachineShop/R/MLControl.R                           |   75 
 MachineShop-1.4.0/MachineShop/R/MLMetric.R                            |   11 
 MachineShop-1.4.0/MachineShop/R/MLModel.R                             |   20 
 MachineShop-1.4.0/MachineShop/R/ML_CoxModel.R                         |    2 
 MachineShop-1.4.0/MachineShop/R/ML_GLMModel.R                         |    2 
 MachineShop-1.4.0/MachineShop/R/ML_LMModel.R                          |    2 
 MachineShop-1.4.0/MachineShop/R/ML_POLRModel.R                        |    6 
 MachineShop-1.4.0/MachineShop/R/ML_SuperModel.R                       |   41 
 MachineShop-1.4.0/MachineShop/R/ML_SurvRegModel.R                     |    2 
 MachineShop-1.4.0/MachineShop/R/ModelFrame.R                          |   34 
 MachineShop-1.4.0/MachineShop/R/ModelRecipe.R                         |   47 
 MachineShop-1.4.0/MachineShop/R/append.R                              |   23 
 MachineShop-1.4.0/MachineShop/R/confusion.R                           |   33 
 MachineShop-1.4.0/MachineShop/R/diff.R                                |    9 
 MachineShop-1.4.0/MachineShop/R/extract.R                             |   11 
 MachineShop-1.4.0/MachineShop/R/metricinfo.R                          |   42 
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 MachineShop-1.4.0/MachineShop/R/performance.R                         |   52 
 MachineShop-1.4.0/MachineShop/R/performance_curve.R                   |    2 
 MachineShop-1.4.0/MachineShop/R/plots.R                               |  100 
 MachineShop-1.4.0/MachineShop/R/resample.R                            |   93 
 MachineShop-1.4.0/MachineShop/R/response.R                            |   23 
 MachineShop-1.4.0/MachineShop/R/show.R                                |   84 
 MachineShop-1.4.0/MachineShop/R/summary.R                             |    8 
 MachineShop-1.4.0/MachineShop/R/survival.R                            |    6 
 MachineShop-1.4.0/MachineShop/R/utils.R                               |   16 
 MachineShop-1.4.0/MachineShop/R/varimp.R                              |   14 
 MachineShop-1.4.0/MachineShop/inst/CITATION                           |    2 
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 MachineShop-1.4.0/MachineShop/inst/doc/Introduction.Rmd               |  687 ++-
 MachineShop-1.4.0/MachineShop/inst/doc/Introduction.html              | 1981 ++++++----
 MachineShop-1.4.0/MachineShop/inst/doc/MLModels.html                  |   18 
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 59 files changed, 3300 insertions(+), 1778 deletions(-)

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