Thu, 16 Nov 2017

Package keras updated to version 2.0.9 with previous version 2.0.8 dated 2017-09-30

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Author: JJ Allaire [aut, cre], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph], Daniel Falbel [ctb, cph], Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph]
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between keras versions 2.0.8 dated 2017-09-30 and 2.0.9 dated 2017-11-16

 keras-2.0.8/keras/man/evaluate.Rd                                      |only
 keras-2.0.9/keras/DESCRIPTION                                          |   10 
 keras-2.0.9/keras/MD5                                                  |  228 +++++-----
 keras-2.0.9/keras/NAMESPACE                                            |   26 +
 keras-2.0.9/keras/NEWS.md                                              |   62 ++
 keras-2.0.9/keras/R/applications.R                                     |   83 ++-
 keras-2.0.9/keras/R/callbacks.R                                        |   13 
 keras-2.0.9/keras/R/datasets.R                                         |   94 +++-
 keras-2.0.9/keras/R/freeze.R                                           |only
 keras-2.0.9/keras/R/history.R                                          |    2 
 keras-2.0.9/keras/R/install.R                                          |    4 
 keras-2.0.9/keras/R/layer-custom.R                                     |    8 
 keras-2.0.9/keras/R/layer-methods.R                                    |    2 
 keras-2.0.9/keras/R/layers-convolutional.R                             |    8 
 keras-2.0.9/keras/R/layers-core.R                                      |   54 +-
 keras-2.0.9/keras/R/layers-merge.R                                     |   26 +
 keras-2.0.9/keras/R/layers-recurrent.R                                 |  120 ++++-
 keras-2.0.9/keras/R/metrics.R                                          |   35 +
 keras-2.0.9/keras/R/model-persistence.R                                |   61 ++
 keras-2.0.9/keras/R/model.R                                            |  134 +++++
 keras-2.0.9/keras/R/package.R                                          |   25 -
 keras-2.0.9/keras/R/preprocessing.R                                    |  192 +++++++-
 keras-2.0.9/keras/R/reexports.R                                        |   19 
 keras-2.0.9/keras/R/utils.R                                            |   24 -
 keras-2.0.9/keras/inst/doc/about_keras_models.Rmd                      |    2 
 keras-2.0.9/keras/inst/doc/about_keras_models.html                     |    4 
 keras-2.0.9/keras/inst/doc/applications.R                              |   15 
 keras-2.0.9/keras/inst/doc/applications.Rmd                            |   16 
 keras-2.0.9/keras/inst/doc/applications.html                           |   16 
 keras-2.0.9/keras/inst/doc/custom_layers.R                             |    2 
 keras-2.0.9/keras/inst/doc/custom_layers.Rmd                           |    2 
 keras-2.0.9/keras/inst/doc/custom_layers.html                          |    2 
 keras-2.0.9/keras/inst/doc/faq.R                                       |   76 +++
 keras-2.0.9/keras/inst/doc/faq.Rmd                                     |  164 +++++--
 keras-2.0.9/keras/inst/doc/faq.html                                    |  134 ++++-
 keras-2.0.9/keras/inst/doc/functional_api.Rmd                          |    4 
 keras-2.0.9/keras/inst/doc/functional_api.html                         |    4 
 keras-2.0.9/keras/inst/doc/getting_started.R                           |    4 
 keras-2.0.9/keras/inst/doc/getting_started.Rmd                         |    6 
 keras-2.0.9/keras/inst/doc/getting_started.html                        |    5 
 keras-2.0.9/keras/inst/doc/sequential_model.Rmd                        |    4 
 keras-2.0.9/keras/inst/doc/sequential_model.html                       |    4 
 keras-2.0.9/keras/inst/python/kerastools/callback.py                   |    4 
 keras-2.0.9/keras/inst/python/kerastools/layer.py                      |    4 
 keras-2.0.9/keras/inst/python/kerastools/progbar.py                    |only
 keras-2.0.9/keras/man/application_inception_resnet_v2.Rd               |only
 keras-2.0.9/keras/man/application_resnet50.Rd                          |    2 
 keras-2.0.9/keras/man/application_vgg.Rd                               |    2 
 keras-2.0.9/keras/man/compile.Rd                                       |   11 
 keras-2.0.9/keras/man/dataset_boston_housing.Rd                        |    9 
 keras-2.0.9/keras/man/dataset_cifar10.Rd                               |    1 
 keras-2.0.9/keras/man/dataset_cifar100.Rd                              |    1 
 keras-2.0.9/keras/man/dataset_fashion_mnist.Rd                         |only
 keras-2.0.9/keras/man/dataset_imdb.Rd                                  |   12 
 keras-2.0.9/keras/man/dataset_mnist.Rd                                 |    1 
 keras-2.0.9/keras/man/dataset_reuters.Rd                               |    1 
 keras-2.0.9/keras/man/evaluate.keras.engine.training.Model.Rd          |only
 keras-2.0.9/keras/man/evaluate_generator.Rd                            |    9 
 keras-2.0.9/keras/man/export_savedmodel.keras.engine.training.Model.Rd |only
 keras-2.0.9/keras/man/fit.Rd                                           |   12 
 keras-2.0.9/keras/man/fit_generator.Rd                                 |   13 
 keras-2.0.9/keras/man/fit_image_data_generator.Rd                      |    4 
 keras-2.0.9/keras/man/fit_text_tokenizer.Rd                            |    7 
 keras-2.0.9/keras/man/freeze_weights.Rd                                |only
 keras-2.0.9/keras/man/generator_next.Rd                                |only
 keras-2.0.9/keras/man/get_config.Rd                                    |    6 
 keras-2.0.9/keras/man/get_layer.Rd                                     |    6 
 keras-2.0.9/keras/man/image_load.Rd                                    |   13 
 keras-2.0.9/keras/man/image_to_array.Rd                                |   23 -
 keras-2.0.9/keras/man/imagenet_preprocess_input.Rd                     |   13 
 keras-2.0.9/keras/man/implementation.Rd                                |    2 
 keras-2.0.9/keras/man/keras_array.Rd                                   |    9 
 keras-2.0.9/keras/man/keras_model.Rd                                   |    5 
 keras-2.0.9/keras/man/keras_model_sequential.Rd                        |    6 
 keras-2.0.9/keras/man/layer_add.Rd                                     |    2 
 keras-2.0.9/keras/man/layer_average.Rd                                 |    2 
 keras-2.0.9/keras/man/layer_concatenate.Rd                             |    2 
 keras-2.0.9/keras/man/layer_cudnn_gru.Rd                               |only
 keras-2.0.9/keras/man/layer_cudnn_lstm.Rd                              |only
 keras-2.0.9/keras/man/layer_dot.Rd                                     |    2 
 keras-2.0.9/keras/man/layer_flatten.Rd                                 |   11 
 keras-2.0.9/keras/man/layer_gru.Rd                                     |   14 
 keras-2.0.9/keras/man/layer_input.Rd                                   |   13 
 keras-2.0.9/keras/man/layer_lstm.Rd                                    |   17 
 keras-2.0.9/keras/man/layer_maximum.Rd                                 |    1 
 keras-2.0.9/keras/man/layer_minimum.Rd                                 |only
 keras-2.0.9/keras/man/layer_multiply.Rd                                |    3 
 keras-2.0.9/keras/man/layer_separable_conv_2d.Rd                       |   17 
 keras-2.0.9/keras/man/layer_simple_rnn.Rd                              |   14 
 keras-2.0.9/keras/man/layer_subtract.Rd                                |    3 
 keras-2.0.9/keras/man/metric_binary_accuracy.Rd                        |   40 +
 keras-2.0.9/keras/man/multi-assign.Rd                                  |only
 keras-2.0.9/keras/man/multi_gpu_model.Rd                               |only
 keras-2.0.9/keras/man/pop_layer.Rd                                     |    5 
 keras-2.0.9/keras/man/predict.keras.engine.training.Model.Rd           |    7 
 keras-2.0.9/keras/man/predict_generator.Rd                             |    6 
 keras-2.0.9/keras/man/predict_on_batch.Rd                              |    6 
 keras-2.0.9/keras/man/predict_proba.Rd                                 |    6 
 keras-2.0.9/keras/man/reexports.Rd                                     |    8 
 keras-2.0.9/keras/man/save_text_tokenizer.Rd                           |only
 keras-2.0.9/keras/man/sequences_to_matrix.Rd                           |    1 
 keras-2.0.9/keras/man/summary.keras.engine.training.Model.Rd           |    6 
 keras-2.0.9/keras/man/text_tokenizer.Rd                                |    1 
 keras-2.0.9/keras/man/texts_to_matrix.Rd                               |    1 
 keras-2.0.9/keras/man/texts_to_sequences.Rd                            |    1 
 keras-2.0.9/keras/man/texts_to_sequences_generator.Rd                  |    1 
 keras-2.0.9/keras/man/train_on_batch.Rd                                |    6 
 keras-2.0.9/keras/tests/testthat/digit2.jpeg                           |only
 keras-2.0.9/keras/tests/testthat/digit_resized.jpeg                    |only
 keras-2.0.9/keras/tests/testthat/test-custom-layers.R                  |    3 
 keras-2.0.9/keras/tests/testthat/test-freeze.R                         |only
 keras-2.0.9/keras/tests/testthat/test-generators.R                     |    9 
 keras-2.0.9/keras/tests/testthat/test-layer-methods.R                  |    3 
 keras-2.0.9/keras/tests/testthat/test-layers.R                         |   13 
 keras-2.0.9/keras/tests/testthat/test-metrics.R                        |    4 
 keras-2.0.9/keras/tests/testthat/test-model-persistence.R              |   12 
 keras-2.0.9/keras/tests/testthat/test-preprocessing.R                  |   29 +
 keras-2.0.9/keras/vignettes/about_keras_models.Rmd                     |    2 
 keras-2.0.9/keras/vignettes/applications.Rmd                           |   16 
 keras-2.0.9/keras/vignettes/custom_layers.Rmd                          |    2 
 keras-2.0.9/keras/vignettes/faq.Rmd                                    |  164 +++++--
 keras-2.0.9/keras/vignettes/functional_api.Rmd                         |    4 
 keras-2.0.9/keras/vignettes/getting_started.Rmd                        |    6 
 keras-2.0.9/keras/vignettes/sequential_model.Rmd                       |    4 
 124 files changed, 1749 insertions(+), 588 deletions(-)

More information about keras at CRAN
Permanent link

Package soilDB updated to version 1.8.14 with previous version 1.8-7 dated 2016-11-10

Title: Soil Database Interface
Description: A collection of functions for reading data from USDA-NCSS soil databases.
Author: D.E. Beaudette and J. Skovlin, and S.M. Roecker
Maintainer: D.E. Beaudette <dylan.beaudette@ca.usda.gov>

Diff between soilDB versions 1.8-7 dated 2016-11-10 and 1.8.14 dated 2017-11-16

 .Rinstignore                               |    4 
 DESCRIPTION                                |   16 
 MD5                                        |   77 ++-
 NAMESPACE                                  |   23 -
 NEWS                                       |   25 +
 R/KSSL_VG_model.R                          |only
 R/SDA_query.R                              |  568 ++++++++++++++---------------
 R/fetchHenry.R                             |   34 +
 R/fetchNASIS.R                             |   77 ++-
 R/fetchNASIS_pedons.R                      |only
 R/fetchSCAN.R                              |   90 ++++
 R/get_colors_from_NASIS_db.R               |   14 
 R/get_component_from_LIMS.R                |only
 R/get_component_from_SDA.R                 |only
 R/get_cosoilmoist_from_LIMS.R              |only
 R/get_cosoilmoist_from_NASIS.R             |only
 R/get_cosoilmoist_from_SDA.R               |only
 R/get_extended_data_from_NASIS_db.R        |    3 
 R/get_lablayer_data_from_NASIS_db.R        |   39 +
 R/get_phlabresults_data_from_NASIS_db.R    |only
 R/get_phorizon_from_NASIS_db.R             |only
 R/get_projectmapunit_from_NASIS.R          |only
 R/get_site_data_from_NASIS_db.R            |    9 
 R/mix_and_clean_colors.R                   |  100 +++--
 R/nasis_component_data.R                   |  286 ++++++++++++--
 R/parseWebReport.R                         |only
 R/seriesExtent.R                           |   13 
 R/simplfyFragmentData.R                    |  290 +++++++-------
 R/simplifyColorData.R                      |  165 ++++----
 R/uncode.R                                 |only
 R/utils.R                                  |  291 ++++++++++++--
 data/andic.subset.rda                      |binary
 data/cisne.rda                             |binary
 data/gSSURGO.chunk.rda                     |binary
 data/gopheridge.rda                        |binary
 data/loafercreek.rda                       |binary
 data/metadata.rda                          |only
 man/KSSL_VG_model.Rd                       |only
 man/fetchHenry.Rd                          |    7 
 man/fetchKSSL.Rd                           |    2 
 man/fetchNASIS.Rd                          |   32 +
 man/fetchSCAN.Rd                           |    4 
 man/fetchSDA_component.Rd                  |only
 man/get_colors_from_NASIS_db.Rd            |    4 
 man/get_colors_from_pedon_db.Rd            |    2 
 man/get_phlabresults_data_from_NASIS_db.Rd |only
 man/loafercreek.Rd                         |    1 
 man/parseWebReport.Rd                      |only
 man/simplifyColorData.Rd                   |only
 man/uncode.Rd                              |only
 50 files changed, 1431 insertions(+), 745 deletions(-)

More information about soilDB at CRAN
Permanent link

Package utility updated to version 1.4.2 with previous version 1.4.1 dated 2017-05-09

Title: Construct, Evaluate and Plot Value and Utility Functions
Description: Construct and plot objective hierarchies and associated value and utility functions. Evaluate the values and utilities and visualize the results as colored objective hierarchies or tables. Visualize uncertainty by plotting median and quantile intervals within the nodes of objective hierarchies. Get numerical results of the evaluations in standard R data types for further processing.
Author: Peter Reichert <peter.reichert@eawag.ch> with contributions by Nele Schuwirth <nele.schuwirth@eawag.ch>
Maintainer: Peter Reichert <peter.reichert@eawag.ch>

Diff between utility versions 1.4.1 dated 2017-05-09 and 1.4.2 dated 2017-11-16

 DESCRIPTION                                 |   10 +++----
 MD5                                         |   38 ++++++++++++++--------------
 R/utility.plot.r                            |   25 +++++++++---------
 inst/NEWS                                   |   10 +++++++
 man/figures/aggregationadd.pdf              |binary
 man/figures/aggregationaddmin.pdf           |binary
 man/figures/aggregationaddpower.pdf         |binary
 man/figures/aggregationaddsplitpower.pdf    |    6 ++--
 man/figures/aggregationbonusmalus.pdf       |binary
 man/figures/aggregationgeo.pdf              |    6 ++--
 man/figures/aggregationharmo.pdf            |    6 ++--
 man/figures/aggregationmax.pdf              |binary
 man/figures/aggregationmin.pdf              |binary
 man/figures/aggregationmix.pdf              |    6 ++--
 man/figures/aggregationmult.pdf             |binary
 man/figures/aggregationrevaddpower.pdf      |    6 ++--
 man/figures/aggregationrevaddsplitpower.pdf |binary
 man/figures/aggregationrevgeo.pdf           |    6 ++--
 man/figures/aggregationrevharmo.pdf         |    6 ++--
 man/utility-package.Rd                      |    4 +-
 20 files changed, 70 insertions(+), 59 deletions(-)

More information about utility at CRAN
Permanent link

Package timeDate updated to version 3042.101 with previous version 3012.100 dated 2015-01-23

Title: Rmetrics - Chronological and Calendar Objects
Description: The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb], Martin Maechler [ctb], Joe W. Byers [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between timeDate versions 3012.100 dated 2015-01-23 and 3042.101 dated 2017-11-16

 timeDate |only
 1 file changed

More information about timeDate at CRAN
Permanent link

Package tensorflow updated to version 1.4.1 with previous version 1.4 dated 2017-09-27

Title: R Interface to 'TensorFlow'
Description: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Author: JJ Allaire [aut, cre], RStudio [cph, fnd], Yuan Tang [aut, cph], Dirk Eddelbuettel [ctb, cph], Nick Golding [ctb, cph], Google Inc. [ctb, cph] (Examples and Tutorials)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between tensorflow versions 1.4 dated 2017-09-27 and 1.4.1 dated 2017-11-16

 DESCRIPTION                          |   10 +-
 MD5                                  |   26 ++++--
 NAMESPACE                            |    6 +
 R/estimator-generics.R               |only
 R/extraction.R                       |only
 R/generics.R                         |  139 ++---------------------------------
 R/install.R                          |  130 +++++++++++++++++++++++++-------
 R/reexports.R                        |    3 
 R/save.R                             |only
 R/tensorboard.R                      |    7 -
 man/evaluate.Rd                      |only
 man/export_savedmodel.Rd             |only
 man/install_tensorflow.Rd            |    6 +
 man/reexports.Rd                     |    4 -
 man/train.Rd                         |only
 man/train_and_evaluate.Rd            |only
 man/view_savedmodel.Rd               |only
 tests/testthat/test-extract-syntax.R |  123 ++++++++++++++++++++++++++++++
 18 files changed, 271 insertions(+), 183 deletions(-)

More information about tensorflow at CRAN
Permanent link

Package shinyWidgets updated to version 0.4.0 with previous version 0.3.6 dated 2017-10-19

Title: Custom Inputs Widgets for Shiny
Description: Some custom inputs widgets to use in Shiny applications, like a toggle switch to replace checkboxes. And other components to pimp your apps.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], Silvio Moreto [ctb, cph] (bootstrap-select), Ana Carolina [ctb, cph] (bootstrap-select), caseyjhol [ctb, cph] (bootstrap-select), Matt Bryson [ctb, cph] (bootstrap-select), t0xicCode [ctb, cph] (bootstrap-select), Mattia Larentis [ctb, cph] (Bootstrap Switch), Emanuele Marchi [ctb, cph] (Bootstrap Switch), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Flatlogic [cph] (Awesome Bootstrap Checkbox), mouse0270 [ctb, cph] (Material Design Switch), Tristan Edwards [ctb, cph] (SweetAlert), Fabian Lindfors [ctb, cph] (multi.js), David Granjon [ctb] (jQuery Knob shiny interface), Anthony Terrien [ctb, cph] (jQuery Knob), Daniel Eden [ctb, cph] (animate.css), Ganapati V S [ctb, cph] (bttn.css), Brian Grinstead [ctb, cph] (Spectrum), Lokesh Rajendran [ctb, cph] (pretty-checkbox)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between shinyWidgets versions 0.3.6 dated 2017-10-19 and 0.4.0 dated 2017-11-16

 shinyWidgets-0.3.6/shinyWidgets/inst/examples/garbage                            |only
 shinyWidgets-0.3.6/shinyWidgets/inst/www/switchInput/css                         |only
 shinyWidgets-0.3.6/shinyWidgets/inst/www/switchInput/js                          |only
 shinyWidgets-0.4.0/shinyWidgets/DESCRIPTION                                      |   20 
 shinyWidgets-0.4.0/shinyWidgets/LICENSE                                          |  103 
 shinyWidgets-0.4.0/shinyWidgets/MD5                                              |  122 
 shinyWidgets-0.4.0/shinyWidgets/NAMESPACE                                        |   15 
 shinyWidgets-0.4.0/shinyWidgets/NEWS.md                                          |   16 
 shinyWidgets-0.4.0/shinyWidgets/R/attachShinyWidgetsDep.R                        |   39 
 shinyWidgets-0.4.0/shinyWidgets/R/input-actiongroupbuttons.R                     |  143 
 shinyWidgets-0.4.0/shinyWidgets/R/input-awesomecheckbox.R                        |   13 
 shinyWidgets-0.4.0/shinyWidgets/R/input-awesomeradio.R                           |   11 
 shinyWidgets-0.4.0/shinyWidgets/R/input-knob.R                                   |only
 shinyWidgets-0.4.0/shinyWidgets/R/input-pretty.R                                 |only
 shinyWidgets-0.4.0/shinyWidgets/R/input-radiogroupbuttons.R                      |    2 
 shinyWidgets-0.4.0/shinyWidgets/R/input-spectrum.R                               |only
 shinyWidgets-0.4.0/shinyWidgets/R/sw-dropdown.R                                  |    3 
 shinyWidgets-0.4.0/shinyWidgets/R/utils.R                                        |   15 
 shinyWidgets-0.4.0/shinyWidgets/README.md                                        |   61 
 shinyWidgets-0.4.0/shinyWidgets/inst/examples/jQueryKnob                         |only
 shinyWidgets-0.4.0/shinyWidgets/inst/examples/shinyWidgets/server.R              |    6 
 shinyWidgets-0.4.0/shinyWidgets/inst/examples/shinyWidgets/ui.R                  |  233 +
 shinyWidgets-0.4.0/shinyWidgets/inst/images/knobInput.png                        |only
 shinyWidgets-0.4.0/shinyWidgets/inst/images/pretty.png                           |only
 shinyWidgets-0.4.0/shinyWidgets/inst/www/animate/LICENSE                         |   42 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/animate/animate-config.json             |  242 -
 shinyWidgets-0.4.0/shinyWidgets/inst/www/animate/animate.min.css                 |   20 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/awesomeRadioCheckbox/LICENSE.txt        |   40 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/bttn/bttn.min.css                       |   20 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/favButton/mo.min.js                     |   26 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/jquery-knob                             |only
 shinyWidgets-0.4.0/shinyWidgets/inst/www/multi/multi.min.js                      |    2 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/pretty-checkbox                         |only
 shinyWidgets-0.4.0/shinyWidgets/inst/www/selectPicker/LICENSE.txt                |   42 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/selectPicker/js/bootstrap-select.min.js |   16 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/selectPicker/picker-bindings.js         |    3 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/shinyWidgets-bindings.min.js            |    2 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/spectrum                                |only
 shinyWidgets-0.4.0/shinyWidgets/inst/www/sw-dropdown/sw-dropdown.css             |   46 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/sweetAlert/LICENSE.txt                  |   44 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/sweetAlert/css/sweetalert.css           | 1864 +++++-----
 shinyWidgets-0.4.0/shinyWidgets/inst/www/switchInput/LICENSE.txt                 |   42 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/switchInput/bootstrap-switch-3.3.2      |only
 shinyWidgets-0.4.0/shinyWidgets/inst/www/switchInput/bootstrap-switch-3.3.4      |only
 shinyWidgets-0.4.0/shinyWidgets/inst/www/switchInput/switch-bindings.js          |    5 
 shinyWidgets-0.4.0/shinyWidgets/inst/www/uglify.R                                |    1 
 shinyWidgets-0.4.0/shinyWidgets/man/actionGroupButtons.Rd                        |   45 
 shinyWidgets-0.4.0/shinyWidgets/man/knobInput.Rd                                 |only
 shinyWidgets-0.4.0/shinyWidgets/man/prettyCheckbox.Rd                            |only
 shinyWidgets-0.4.0/shinyWidgets/man/prettyCheckboxGroup.Rd                       |only
 shinyWidgets-0.4.0/shinyWidgets/man/prettyRadioButtons.Rd                        |only
 shinyWidgets-0.4.0/shinyWidgets/man/prettySwitch.Rd                              |only
 shinyWidgets-0.4.0/shinyWidgets/man/prettyToggle.Rd                              |only
 shinyWidgets-0.4.0/shinyWidgets/man/spectrumInput.Rd                             |only
 shinyWidgets-0.4.0/shinyWidgets/man/updateKnobInput.Rd                           |only
 shinyWidgets-0.4.0/shinyWidgets/man/updatePrettyCheckbox.Rd                      |only
 shinyWidgets-0.4.0/shinyWidgets/man/updatePrettyCheckboxGroup.Rd                 |only
 shinyWidgets-0.4.0/shinyWidgets/man/updatePrettyRadioButtons.Rd                  |only
 shinyWidgets-0.4.0/shinyWidgets/man/updatePrettySwitch.Rd                        |only
 shinyWidgets-0.4.0/shinyWidgets/man/updatePrettyToggle.Rd                        |only
 shinyWidgets-0.4.0/shinyWidgets/man/updateSpectrumInput.Rd                       |only
 shinyWidgets-0.4.0/shinyWidgets/tests/testthat/test-updateAwesomeCheckboxGroup.R |    3 
 shinyWidgets-0.4.0/shinyWidgets/tests/testthat/test-updateAwesomeRadio.R         |    1 
 63 files changed, 1938 insertions(+), 1370 deletions(-)

More information about shinyWidgets at CRAN
Permanent link

Package rockchalk updated to version 1.8.109 with previous version 1.8.101 dated 2016-02-24

Title: Regression Estimation and Presentation
Description: A collection of functions for interpretation and presentation of regression analysis. These functions are used to produce the statistics lectures in <http://pj.freefaculty.org/guides>. Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview. The vignette 'Rstyle' has advice about coding in R. The package title 'rockchalk' refers to our school motto, 'Rock Chalk Jayhawk, Go K.U.'.
Author: Paul E. Johnson <pauljohn@ku.edu>
Maintainer: Paul E. Johnson <pauljohn@ku.edu>

Diff between rockchalk versions 1.8.101 dated 2016-02-24 and 1.8.109 dated 2017-11-16

 DESCRIPTION                   |   12 
 MD5                           |  196 +++++++--------
 NAMESPACE                     |    3 
 R/dir.create.unique.R         |only
 R/genCorrelatedData.R         |  224 +++++++++++++----
 R/mcDiagnose.R                |    2 
 R/outreg.R                    |  542 +++---------------------------------------
 R/pctable.R                   |   11 
 R/plotCurves.R                |    4 
 R/plotSlopes.R                |    8 
 R/summarize.R                 |  396 +++++++++++++++++++++++-------
 R/utils.R                     |   66 +----
 build/vignette.rds            |binary
 data/cheating.RData           |binary
 data/religioncrime.RData      |binary
 inst/ChangeLog                |   37 ++
 inst/doc/Rchaeology.R         |   74 ++---
 inst/doc/Rchaeology.Rnw       |  107 --------
 inst/doc/Rchaeology.pdf       |binary
 inst/doc/Rstyle.R             |    8 
 inst/doc/Rstyle.Rnw           |   70 -----
 inst/doc/Rstyle.pdf           |binary
 inst/doc/rockchalk.R          |   52 ++--
 inst/doc/rockchalk.Rnw        |   74 -----
 inst/doc/rockchalk.pdf        |binary
 inst/examples/addLines-ex.R   |   29 +-
 inst/examples/summarize-ex.R  |  157 +++---------
 man/addLines.Rd               |   30 +-
 man/centerNumerics.Rd         |    1 
 man/centralValues.Rd          |    1 
 man/cheating.Rd               |    7 
 man/checkIntFormat.Rd         |    4 
 man/checkPosDef.Rd            |    1 
 man/combineLevels.Rd          |    1 
 man/cutByQuantile.Rd          |    1 
 man/cutBySD.Rd                |    1 
 man/cutByTable.Rd             |    1 
 man/dir.create.unique.Rd      |   26 +-
 man/focalVals.Rd              |    7 
 man/formatNumericSummaries.Rd |only
 man/formatVC.Rd               |    1 
 man/genCorrelatedData.Rd      |    1 
 man/genCorrelatedData2.Rd     |   51 ++-
 man/genX.Rd                   |only
 man/getAuxRsq.Rd              |    1 
 man/getDeltaRsquare.Rd        |    1 
 man/getFocal.Rd               |    4 
 man/getPartialCor.Rd          |    1 
 man/getVIF.Rd                 |    1 
 man/kurtosis.Rd               |   16 -
 man/lazyCor.Rd                |    1 
 man/lazyCov.Rd                |    1 
 man/lmAuxiliary.Rd            |    1 
 man/magRange.Rd               |    1 
 man/makeSymmetric.Rd          |    1 
 man/makeVec.Rd                |    1 
 man/mcDiagnose.Rd             |    1 
 man/mcGraph.Rd                |    1 
 man/meanCenter.Rd             |    7 
 man/model.data.Rd             |    1 
 man/model.data.default.Rd     |    1 
 man/mvrnorm.Rd                |    7 
 man/newdata.Rd                |    7 
 man/outreg.Rd                 |   15 -
 man/outreg0.Rd                |    1 
 man/outreg2HTML.Rd            |    1 
 man/padW0.Rd                  |    1 
 man/pctable.Rd                |   19 -
 man/perspEmpty.Rd             |    1 
 man/plot.testSlopes.Rd        |    1 
 man/plotCurves.Rd             |    1 
 man/plotFancy.Rd              |    1 
 man/plotPlane.Rd              |    7 
 man/plotSeq.Rd                |    1 
 man/plotSlopes.Rd             |    7 
 man/predictCI.Rd              |    1 
 man/predictOMatic.Rd          |    1 
 man/print.factorSummaries.Rd  |   10 
 man/print.pctable.Rd          |    1 
 man/print.summarize.Rd        |only
 man/print.summary.pctable.Rd  |    1 
 man/religioncrime.Rd          |    1 
 man/residualCenter.Rd         |    9 
 man/rockchalk-package.Rd      |    9 
 man/skewness.Rd               |    4 
 man/standardize.Rd            |    7 
 man/summarize.Rd              |  221 +++++++----------
 man/summarizeFactors.Rd       |   17 -
 man/summarizeNumerics.Rd      |   64 ++--
 man/summary.factor.Rd         |   16 -
 man/summary.pctable.Rd        |    1 
 man/testSlopes.Rd             |    7 
 man/vech2Corr.Rd              |   13 -
 man/vech2mat.Rd               |    1 
 vignettes/Rchaeology.Rnw      |  107 --------
 vignettes/Rchaeology.lyx      |   27 +-
 vignettes/Rstyle.Rnw          |   70 -----
 vignettes/Rstyle.lyx          |    2 
 vignettes/breakurl.sty        |only
 vignettes/plots               |only
 vignettes/rockchalk.Rnw       |   74 -----
 vignettes/rockchalk.lyx       |   99 ++++---
 102 files changed, 1226 insertions(+), 1854 deletions(-)

More information about rockchalk at CRAN
Permanent link

Package padr updated to version 0.4.0 with previous version 0.3.0 dated 2017-05-15

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

Diff between padr versions 0.3.0 dated 2017-05-15 and 0.4.0 dated 2017-11-16

 DESCRIPTION                            |   18 +--
 MD5                                    |  101 ++++++++++++-------
 NAMESPACE                              |    9 +
 NEWS.md                                |   50 +++++++++
 R/RcppExports.R                        |    4 
 R/closest_weekday.R                    |only
 R/fill_functions.R                     |   36 ++----
 R/formatting_funcs.R                   |only
 R/get_interval.R                       |   89 ++++++++++++-----
 R/helpers.R                            |   11 ++
 R/pad.R                                |  172 +++++++++++++++++++++------------
 R/pad_cust.R                           |only
 R/pad_int.R                            |   20 +--
 R/span.R                               |  103 ++++++++++++++++++-
 R/span_date.R                          |only
 R/subset_span.R                        |only
 R/thicken.R                            |  114 +++++++++++++--------
 R/thicken_cust.R                       |only
 R/thicken_helpers.R                    |   17 +--
 build/vignette.rds                     |binary
 inst/doc/padr.R                        |   62 +++++++----
 inst/doc/padr.Rmd                      |   93 +++++++++++------
 inst/doc/padr.html                     |  159 ++++++++++++++++++------------
 inst/doc/padr_custom.R                 |only
 inst/doc/padr_custom.Rmd               |only
 inst/doc/padr_custom.html              |only
 inst/doc/padr_implementation.R         |    9 -
 inst/doc/padr_implementation.Rmd       |    9 -
 inst/doc/padr_implementation.html      |   13 +-
 man/center_interval.Rd                 |only
 man/closest_weekday.Rd                 |only
 man/fill_by_function.Rd                |    2 
 man/fill_by_prevalent.Rd               |    2 
 man/fill_by_value.Rd                   |    2 
 man/format_interval.Rd                 |only
 man/get_interval.Rd                    |    4 
 man/pad.Rd                             |   44 ++++----
 man/pad_cust.Rd                        |only
 man/pad_int.Rd                         |    9 -
 man/span_around.Rd                     |only
 man/span_date.Rd                       |only
 man/span_time.Rd                       |only
 man/subset_span.Rd                     |only
 man/thicken.Rd                         |   21 ++--
 man/thicken_cust.Rd                    |only
 src/RcppExports.cpp                    |    4 
 src/round_down_core.cpp                |    6 -
 src/round_up_core.cpp                  |    2 
 tests/testthat/test_closest_weekday.R  |only
 tests/testthat/test_fill_functions.R   |   20 +--
 tests/testthat/test_formatting_funcs.R |only
 tests/testthat/test_get_interval.R     |   11 ++
 tests/testthat/test_helpers.R          |    4 
 tests/testthat/test_pad.R              |   70 ++++++++++++-
 tests/testthat/test_pad_cust.R         |only
 tests/testthat/test_pad_int.R          |    9 +
 tests/testthat/test_span.R             |   45 ++++++++
 tests/testthat/test_span_date.R        |only
 tests/testthat/test_subset_span.R      |only
 tests/testthat/test_thicken.R          |   19 +++
 tests/testthat/test_thicken_cust.R     |only
 vignettes/padr.Rmd                     |   93 +++++++++++------
 vignettes/padr_custom.Rmd              |only
 vignettes/padr_implementation.Rmd      |    9 -
 64 files changed, 1000 insertions(+), 465 deletions(-)

More information about padr at CRAN
Permanent link

Package modest updated to version 0.3-1 with previous version 0.1 dated 2017-06-28

Title: Model-Based Dose-Escalation Trials
Description: User-friendly Shiny apps for designing and evaluating phase I cancer clinical trials, with the aim to estimate the maximum tolerated dose (MTD) of a novel drug, using a Bayesian decision procedure based on logistic regression.
Author: Philip Pallmann [aut, cre], Fang Wan [aut]
Maintainer: Philip Pallmann <pallmannp@cardiff.ac.uk>

Diff between modest versions 0.1 dated 2017-06-28 and 0.3-1 dated 2017-11-16

 modest-0.1/modest/inst/Conduct/report.Rnw             |only
 modest-0.1/modest/inst/Design/a.Rnw                   |only
 modest-0.3-1/modest/DESCRIPTION                       |   19 
 modest-0.3-1/modest/MD5                               |   31 
 modest-0.3-1/modest/NAMESPACE                         |    2 
 modest-0.3-1/modest/build                             |only
 modest-0.3-1/modest/inst/CITATION                     |    6 
 modest-0.3-1/modest/inst/Conduct/ConductReport.Rnw    |only
 modest-0.3-1/modest/inst/Conduct/app.R                |  795 +++++++----
 modest-0.3-1/modest/inst/Conduct/mainDoseEscalation.R |  175 +-
 modest-0.3-1/modest/inst/Design/DesignReport.Rnw      |only
 modest-0.3-1/modest/inst/Design/app.R                 | 1285 ++++++++++++------
 modest-0.3-1/modest/inst/Design/mainDoseEscalation.R  |  175 +-
 modest-0.3-1/modest/inst/NEWS                         |   28 
 modest-0.3-1/modest/inst/doc                          |only
 modest-0.3-1/modest/man/apps.Rd                       |    2 
 modest-0.3-1/modest/vignettes                         |only
 17 files changed, 1761 insertions(+), 757 deletions(-)

More information about modest at CRAN
Permanent link

Package learnr updated to version 0.9.1 with previous version 0.9 dated 2017-06-20

Title: Interactive Tutorials for R
Description: Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.
Author: Barbara Borges [aut, cre], JJ Allaire [aut], RStudio, Inc. [cph], Ajax.org B.V. [ctb, cph] (Ace library), Zeno Rocha [ctb, cph] (clipboard.js library), Nick Payne [ctb, cph] (Bootbox library), Julie Cameron [ctb] (SlickQuiz library), Quicken Loans [cph] (SlickQuiz library), Mozilla [ctb, cph] (localforage library)
Maintainer: Barbara Borges <barbara@rstudio.com>

Diff between learnr versions 0.9 dated 2017-06-20 and 0.9.1 dated 2017-11-16

 DESCRIPTION         |   14 ++++++++------
 MD5                 |    5 +++--
 NEWS.md             |only
 R/tutorial-format.R |    7 ++++---
 4 files changed, 15 insertions(+), 11 deletions(-)

More information about learnr at CRAN
Permanent link

Package JuliaCall updated to version 0.11.1 with previous version 0.9.3 dated 2017-10-12

Title: Seamless Integration Between R and 'Julia'
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Author: Changcheng Li [aut, cre]
Maintainer: Changcheng Li <cxl508@psu.edu>

Diff between JuliaCall versions 0.9.3 dated 2017-10-12 and 0.11.1 dated 2017-11-16

 JuliaCall-0.11.1/JuliaCall/DESCRIPTION                                   |   10 
 JuliaCall-0.11.1/JuliaCall/MD5                                           |   80 ++++---
 JuliaCall-0.11.1/JuliaCall/NAMESPACE                                     |   33 ++-
 JuliaCall-0.11.1/JuliaCall/NEWS.md                                       |   51 ++++
 JuliaCall-0.11.1/JuliaCall/R/JuliaCall.R                                 |   12 -
 JuliaCall-0.11.1/JuliaCall/R/JuliaObject.R                               |   88 +++++++-
 JuliaCall-0.11.1/JuliaCall/R/RMarkdown.R                                 |   88 +++++---
 JuliaCall-0.11.1/JuliaCall/R/deprecated.R                                |   12 -
 JuliaCall-0.11.1/JuliaCall/R/dispatch.R                                  |only
 JuliaCall-0.11.1/JuliaCall/R/interface.R                                 |   16 +
 JuliaCall-0.11.1/JuliaCall/R/zzz.R                                       |   17 +
 JuliaCall-0.11.1/JuliaCall/README.md                                     |   14 -
 JuliaCall-0.11.1/JuliaCall/build/vignette.rds                            |binary
 JuliaCall-0.11.1/JuliaCall/inst/doc/JuliaCall_in_Jupyter_R_Notebook.html |    4 
 JuliaCall-0.11.1/JuliaCall/inst/doc/Julia_in_RMarkdown.R                 |only
 JuliaCall-0.11.1/JuliaCall/inst/doc/Julia_in_RMarkdown.Rmd               |only
 JuliaCall-0.11.1/JuliaCall/inst/doc/Julia_in_RMarkdown.html              |only
 JuliaCall-0.11.1/JuliaCall/inst/julia/JuliaArray.jl                      |only
 JuliaCall-0.11.1/JuliaCall/inst/julia/JuliaObject.jl                     |  108 +++++++---
 JuliaCall-0.11.1/JuliaCall/inst/julia/RCallprepare.jl                    |   11 -
 JuliaCall-0.11.1/JuliaCall/inst/julia/asR.jl                             |only
 JuliaCall-0.11.1/JuliaCall/inst/julia/convert.jl                         |   16 +
 JuliaCall-0.11.1/JuliaCall/inst/julia/dispatch.jl                        |only
 JuliaCall-0.11.1/JuliaCall/inst/julia/display/RmdJulia.jl                |   37 ++-
 JuliaCall-0.11.1/JuliaCall/inst/julia/display/RmdJulia1.jl               |only
 JuliaCall-0.11.1/JuliaCall/inst/julia/setup.jl                           |   25 +-
 JuliaCall-0.11.1/JuliaCall/inst/julia/suppress.jl                        |only
 JuliaCall-0.11.1/JuliaCall/man/JuliaCall.Rd                              |   12 -
 JuliaCall-0.11.1/JuliaCall/man/JuliaObject.Rd                            |    4 
 JuliaCall-0.11.1/JuliaCall/man/JuliaObjectFields.Rd                      |only
 JuliaCall-0.11.1/JuliaCall/man/call.Rd                                   |    4 
 JuliaCall-0.11.1/JuliaCall/tests/testthat.R                              |    9 
 JuliaCall-0.11.1/JuliaCall/tests/testthat/Rmd_test.Rmd                   |   30 --
 JuliaCall-0.11.1/JuliaCall/tests/testthat/Rmd_test.html                  |   30 --
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_AD.R                      |only
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_JuliaObject.R             |only
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_JuliaTuple.R              |only
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_RCall.R                   |only
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_asR.R                     |only
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_basic.R                   |    3 
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_dispatch.R                |only
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_error.R                   |    1 
 JuliaCall-0.11.1/JuliaCall/tests/testthat/test_rmd.R                     |    4 
 JuliaCall-0.11.1/JuliaCall/vignettes/JuliaCall_in_RMarkdown.md           |only
 JuliaCall-0.11.1/JuliaCall/vignettes/JuliaCall_in_RMarkdown_files        |only
 JuliaCall-0.11.1/JuliaCall/vignettes/Julia_in_RMarkdown.Rmd              |only
 JuliaCall-0.11.1/JuliaCall/vignettes/mandelbrot.png                      |only
 JuliaCall-0.9.3/JuliaCall/inst/doc/Gallery.Rmd                           |only
 JuliaCall-0.9.3/JuliaCall/inst/doc/Gallery.html                          |only
 JuliaCall-0.9.3/JuliaCall/man/julia_eval_string.Rd                       |only
 JuliaCall-0.9.3/JuliaCall/man/print.JuliaObject.Rd                       |only
 JuliaCall-0.9.3/JuliaCall/vignettes/Gallery.Rmd                          |only
 JuliaCall-0.9.3/JuliaCall/vignettes/RCall.png                            |only
 JuliaCall-0.9.3/JuliaCall/vignettes/parallel.png                         |only
 54 files changed, 485 insertions(+), 234 deletions(-)

More information about JuliaCall at CRAN
Permanent link

New package fUnitRoots with initial version 3042.79
Package: fUnitRoots
Title: Rmetrics - Modelling Trends and Unit Roots
Date: 2017-11-12
Version: 3042.79
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>
Description: Provides four addons for analyzing trends and unit roots in financial time series: (i) functions for the density and probability of the augmented Dickey-Fuller Test, (ii) functions for the density and probability of MacKinnon's unit root test statistics, (iii) reimplementations for the ADF and MacKinnon Test, and (iv) an 'urca' Unit Root Test Interface for Pfaff's unit root test suite.
Depends: R (>= 2.15.1), timeDate, timeSeries, fBasics
Imports: urca, graphics, methods, stats, utils
Suggests: RUnit
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
NeedsCompilation: yes
Packaged: 2017-11-16 17:28:29 UTC; Tobias Setz
Repository: CRAN
Date/Publication: 2017-11-16 22:42:49 UTC

More information about fUnitRoots at CRAN
Permanent link

Package fOptions updated to version 3042.86 with previous version 3022.85 dated 2015-11-09

Title: Rmetrics - Pricing and Evaluating Basic Options
Description: Provides a collection of functions to valuate basic options. This includes the generalized Black-Scholes option, options on futures and options on commodity futures.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fOptions versions 3022.85 dated 2015-11-09 and 3042.86 dated 2017-11-16

 ChangeLog                                |    1 
 DESCRIPTION                              |   23 -
 MD5                                      |   14 
 NAMESPACE                                |    7 
 R/zzz.R                                  |   96 ++---
 inst/unitTests/runit.MonteCarloOptions.R |  251 ++++++-------
 man/00fOptions-package.Rd                |  354 +++++++++---------
 man/MonteCarloOptions.Rd                 |  586 +++++++++++++++----------------
 8 files changed, 664 insertions(+), 668 deletions(-)

More information about fOptions at CRAN
Permanent link

Package fNonlinear updated to version 3042.79 with previous version 3010.78 dated 2013-06-23

Title: Rmetrics - Nonlinear and Chaotic Time Series Modelling
Description: Provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fNonlinear versions 3010.78 dated 2013-06-23 and 3042.79 dated 2017-11-16

 DESCRIPTION             |   30 ++++++++--------
 MD5                     |   16 ++++----
 NAMESPACE               |   53 ++++++----------------------
 R/NonLinModelling.R     |   12 ------
 R/NonLinStatistics.R    |   12 ------
 R/NonLinTests.R         |   12 ------
 R/zzz.R                 |   89 +++++++++++++++++++-----------------------------
 inst/unitTests/Makefile |    2 -
 man/NonLinTests.Rd      |   36 +++++++------------
 9 files changed, 88 insertions(+), 174 deletions(-)

More information about fNonlinear at CRAN
Permanent link

Package fGarch updated to version 3042.83 with previous version 3010.82.1 dated 2016-08-15

Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Description: Provides a collection of functions to analyze and model heteroskedastic behavior in financial time series models.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb], Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fGarch versions 3010.82.1 dated 2016-08-15 and 3042.83 dated 2017-11-16

 fGarch-3010.82.1/fGarch/data/dem2gbp.csv.gz     |only
 fGarch-3010.82.1/fGarch/data/sp500dge.csv.gz    |only
 fGarch-3010.82.1/fGarch/inst/COPYRIGHT.html     |only
 fGarch-3042.83/fGarch/DESCRIPTION               |   35 -
 fGarch-3042.83/fGarch/MD5                       |   67 +-
 fGarch-3042.83/fGarch/NAMESPACE                 |    2 
 fGarch-3042.83/fGarch/R/class-fGARCH.R          |   12 
 fGarch-3042.83/fGarch/R/class-fGARCHSPEC.R      |   12 
 fGarch-3042.83/fGarch/R/dist-absMoments.R       |   12 
 fGarch-3042.83/fGarch/R/dist-sstd.R             |   12 
 fGarch-3042.83/fGarch/R/dist-sstdSlider.R       |   12 
 fGarch-3042.83/fGarch/R/fGarch-package.R        |   12 
 fGarch-3042.83/fGarch/R/garch-FitFromFormula.R  |  384 ++++++------
 fGarch-3042.83/fGarch/R/garch-Gradient.R        |   12 
 fGarch-3042.83/fGarch/R/garch-Hessian.R         |    8 
 fGarch-3042.83/fGarch/R/garch-Sim.R             |   12 
 fGarch-3042.83/fGarch/R/garch-Solver.R          |   12 
 fGarch-3042.83/fGarch/R/garch-SolverControl.R   |   12 
 fGarch-3042.83/fGarch/R/garch-Spec.R            |   12 
 fGarch-3042.83/fGarch/R/garch-Stats.R           |   12 
 fGarch-3042.83/fGarch/R/methods-coef.R          |   12 
 fGarch-3042.83/fGarch/R/methods-fitted.R        |  114 +--
 fGarch-3042.83/fGarch/R/methods-formula.R       |   12 
 fGarch-3042.83/fGarch/R/methods-plot.R          |   12 
 fGarch-3042.83/fGarch/R/methods-predict.R       |   12 
 fGarch-3042.83/fGarch/R/methods-residuals.R     |   12 
 fGarch-3042.83/fGarch/R/methods-show.R          |   12 
 fGarch-3042.83/fGarch/R/methods-summary.R       |   12 
 fGarch-3042.83/fGarch/R/methods-update.R        |   17 
 fGarch-3042.83/fGarch/R/methods-volatility.R    |   12 
 fGarch-3042.83/fGarch/R/mgarch-FitFromFormula.R |   10 
 fGarch-3042.83/fGarch/R/zzz.R                   |   72 +-
 fGarch-3042.83/fGarch/data/dem2gbp.csv          |only
 fGarch-3042.83/fGarch/data/sp500dge.csv         |only
 fGarch-3042.83/fGarch/man/00fGarch-package.Rd   |  229 +++----
 fGarch-3042.83/fGarch/man/garchFit.Rd           |  726 ++++++++++++------------
 fGarch-3042.83/fGarch/man/methods-predict.Rd    |  280 ++++-----
 37 files changed, 968 insertions(+), 1216 deletions(-)

More information about fGarch at CRAN
Permanent link

Package fAssets updated to version 3042.84 with previous version 3011.83 dated 2014-10-30

Title: Rmetrics - Analysing and Modelling Financial Assets
Description: Provides a collection of functions to manage, to investigate and to analyze data sets of financial assets from different points of view.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fAssets versions 3011.83 dated 2014-10-30 and 3042.84 dated 2017-11-16

 ChangeLog                  |    2 
 DESCRIPTION                |   24 -
 MD5                        |   14 
 NAMESPACE                  |    9 
 R/builtin-covRobust.R      |  824 ++++++++++++++++++++++-----------------------
 R/builtin-donostahRobust.R |  548 ++++++++++++++---------------
 R/plot-boxplot.R           |  308 ++++++++--------
 R/zzz.R                    |   80 ++--
 8 files changed, 907 insertions(+), 902 deletions(-)

More information about fAssets at CRAN
Permanent link

Package epr updated to version 3.0 with previous version 2.0 dated 2013-07-30

Title: Easy Polynomial Regression
Description: Performs analysis of polynomial regression in simple designs with quantitative treatments.
Author: Emmanuel Arnhold
Maintainer: Emmanuel Arnhold <emmanuelarnhold@yahoo.com.br>

Diff between epr versions 2.0 dated 2013-07-30 and 3.0 dated 2017-11-16

 DESCRIPTION        |   15 -
 MD5                |   22 +
 NAMESPACE          |   16 +
 R/bl.R             |only
 R/pr1.R            |  266 ++++++++++++++++------
 R/pr2.R            |  622 ++++++++++++++++++++++++++++++-----------------------
 R/r.test.R         |only
 R/regplot.R        |  140 +----------
 man/bl.Rd          |only
 man/epr-package.Rd |   29 --
 man/pr1.Rd         |   52 +++-
 man/pr2.Rd         |    6 
 man/r.test.Rd      |only
 man/regplot.Rd     |   85 +------
 14 files changed, 678 insertions(+), 575 deletions(-)

More information about epr at CRAN
Permanent link

Package easyanova updated to version 5.0 with previous version 4.0 dated 2014-09-08

Title: Analysis of Variance and Other Important Complementary Analyses
Description: Perform analysis of variance and other important complementary analyses. The functions are easy to use. Performs analysis in various designs, with balanced and unbalanced data.
Author: Emmanuel Arnhold
Maintainer: Emmanuel Arnhold <emmanuelarnhold@yahoo.com.br>

Diff between easyanova versions 4.0 dated 2014-09-08 and 5.0 dated 2017-11-16

 DESCRIPTION              |   14 +-
 MD5                      |   14 +-
 NAMESPACE                |   13 ++
 R/ea1.R                  |  250 ++++++++++++++++++++++++-----------------------
 R/ea2.R                  |  123 ++++++++++++-----------
 man/ea1.Rd               |   32 +++---
 man/ea2.Rd               |   48 ++++-----
 man/easyanova-package.Rd |    6 -
 8 files changed, 262 insertions(+), 238 deletions(-)

More information about easyanova at CRAN
Permanent link

Package cowplot updated to version 0.9.1 with previous version 0.9.0 dated 2017-11-16

Title: Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Description: Some helpful extensions and modifications to the 'ggplot2' package. In particular, this package makes it easy to combine multiple 'ggplot2' plots into one and label them with letters, e.g. A, B, C, etc., as is often required for scientific publications. The package also provides a streamlined and clean theme that is used in the Wilke lab, hence the package name, which stands for Claus O. Wilke's plot package.
Author: Claus O. Wilke [aut, cre], RStudio [cph] (Copyright for ggplot2 code copied to cowplot)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

Diff between cowplot versions 0.9.0 dated 2017-11-16 and 0.9.1 dated 2017-11-16

 DESCRIPTION                    |    6 +++---
 MD5                            |   28 ++++++++++++++--------------
 NEWS                           |    4 ++++
 R/draw.R                       |   27 +++++++++++++++------------
 R/plot_grid.R                  |   12 +++++++-----
 inst/doc/axis_position.html    |    4 ++--
 inst/doc/introduction.R        |   12 ------------
 inst/doc/introduction.Rmd      |   16 ----------------
 inst/doc/introduction.html     |   22 ++++++----------------
 inst/doc/plot_annotations.html |    4 ++--
 inst/doc/plot_grid.html        |    4 ++--
 inst/doc/shared_legends.html   |   12 ++++++------
 man/draw_image.Rd              |   27 +++++++++++++++------------
 man/plot_grid.Rd               |   12 +++++++-----
 vignettes/introduction.Rmd     |   16 ----------------
 15 files changed, 83 insertions(+), 123 deletions(-)

More information about cowplot at CRAN
Permanent link

Package vennLasso updated to version 0.1.1 with previous version 0.1 dated 2017-07-15

Title: Variable Selection for Heterogeneous Populations
Description: Provides variable selection and estimation routines for models with main effects stratified on multiple binary factors. The 'vennLasso' package is an implementation of the method introduced in Huling, et al. (2017) <doi:10.1111/biom.12769>.
Author: Jared Huling [aut, cre], Muxuan Liang [ctb], Yixuan Qiu [cph], Gael Guennebaud [cph], Ray Gardner [cph], Jitse Niesen [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>

Diff between vennLasso versions 0.1 dated 2017-07-15 and 0.1.1 dated 2017-11-16

 DESCRIPTION                                 |   20 
 MD5                                         |   76 -
 NAMESPACE                                   |  105 -
 R/cv_vennLasso.R                            | 1150 ++++++++---------
 R/log_lik.R                                 |  132 +-
 R/oglasso.R                                 |  896 ++++++-------
 R/plot_cv_vennLasso.R                       |  132 +-
 R/plot_vennLasso.R                          |  194 +--
 R/predict_vennLasso.R                       |  624 ++++-----
 R/simulate_hierarchically_sparse_data.R     | 1285 +++++++++----------
 R/treePlot.R                                |  928 +++++++++-----
 R/utils.R                                   |  400 +++---
 R/vennLasso.R                               | 1809 ++++++++++++++--------------
 R/vennPlot.R                                |  408 +++---
 README.md                                   |  403 +++---
 build/vignette.rds                          |binary
 inst/doc/using_the_vennLasso_package.R      |  138 +-
 inst/doc/using_the_vennLasso_package.Rmd    |  712 +++++------
 inst/doc/using_the_vennLasso_package.pdf    |binary
 man/cv.vennLasso.Rd                         |  222 +--
 man/estimate.hier.sparsity.param.Rd         |  112 -
 man/genHierSparseBeta.Rd                    |   90 -
 man/genHierSparseData.Rd                    |  227 +--
 man/logLik.Rd                               |   92 -
 man/oglasso.Rd                              |  240 +--
 man/plot.Rd                                 |  182 +-
 man/plotCoefs.Rd                            |only
 man/plotSelections.Rd                       |   62 
 man/plotVenn.Rd                             |  108 -
 man/predict.Rd                              |   78 -
 man/predict.cv.vennLasso.Rd                 |   70 -
 man/vennLasso.Rd                            |  332 ++---
 src/ADMMogLassoLogisticTall.h               |   24 
 src/ADMMogLassoLogisticWide.h               |   24 
 src/ADMMogLassoTall.h                       |   28 
 src/ADMMogLassoWide.h                       |   24 
 src/ogLasso.cpp                             |   18 
 vignettes/readme_figs/unnamed-chunk-6-1.png |binary
 vignettes/readme_figs/unnamed-chunk-7-1.png |only
 vignettes/using_the_vennLasso_package.Rmd   |  712 +++++------
 40 files changed, 6211 insertions(+), 5846 deletions(-)

More information about vennLasso at CRAN
Permanent link

Package RNOmni updated to version 0.1.4 with previous version 0.1.3 dated 2017-11-02

Title: Omnibus Test for Genetic Association Analysis using the Rank Normal Transformation
Description: Implementation of genetic association tests that utilize the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two INT-based approaches, termed direct INT (DINT) and partially indirect INT (PIINT). In genome scale simulations, the omnibus test routinely provided valid inference against continuous phenotypes with skewed and heavy tailed residual distributions. Association testing against these same phenotypes via standard linear regression led to an excess of false positive associations. In addition to controlling the type I error, the omnibus approach provided power comparable to the more powerful of the component methods.
Author: Zachary McCaw [aut, cre]
Maintainer: Zachary McCaw <zmccaw@g.harvard.edu>

Diff between RNOmni versions 0.1.3 dated 2017-11-02 and 0.1.4 dated 2017-11-16

 DESCRIPTION            |    8 ++---
 MD5                    |   68 ++++++++++++++++++++++++++++++++++++++++++-------
 R/RankNormal.R         |   42 ++++++++++++++++++------------
 inst/doc/RNOmni.R      |    6 +++-
 inst/doc/RNOmni.Rmd    |   18 ++++++++----
 inst/doc/RNOmni.html   |   59 ++++++++++++++++++++++++++----------------
 man/AvgCorr.Rd         |    5 ++-
 man/RNOmni.Rd          |   28 ++++++++++++--------
 man/Y.Rd               |   10 +++----
 vignettes/Figs         |only
 vignettes/RNOmni.Rmd   |   18 ++++++++----
 vignettes/RNOmni_cache |only
 vignettes/RNOmni_files |only
 13 files changed, 180 insertions(+), 82 deletions(-)

More information about RNOmni at CRAN
Permanent link

Package PtProcess updated to version 3.3-13 with previous version 3.3-12 dated 2016-09-21

Title: Time Dependent Point Process Modelling
Description: Fits and analyses time dependent marked point process models with an emphasis on earthquake modelling. For a more detailed introduction to the package, see the topic "PtProcess". A list of recent changes can be found in the topic "Change Log".
Author: David Harte
Maintainer: David Harte <d.s.harte@gmail.com>

Diff between PtProcess versions 3.3-12 dated 2016-09-21 and 3.3-13 dated 2017-11-16

 DESCRIPTION         |   10 ++++-----
 MD5                 |   21 ++++++++++----------
 R/simulate.mpp.R    |   51 ++++++++++++++++++++++++++-----------------------
 build               |only
 data/NthChina.rda   |binary
 data/Ogata.rda      |binary
 data/Phuket.rda     |binary
 data/Tangshan.rda   |binary
 inst/doc/index.html |    7 +++++-
 man/Changes.Rd      |   13 ++++++++++--
 man/PtProcess.Rd    |   43 ++++++++++++++++++++++-------------------
 man/simple_gif.Rd   |   54 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 12 files changed, 138 insertions(+), 61 deletions(-)

More information about PtProcess at CRAN
Permanent link

Package psychmeta updated to version 0.1.2 with previous version 0.1.1 dated 2017-10-03

Title: Psychometric Meta-Analysis Toolkit
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more.
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Michael T. Brannick [ctb], Jack Kostal [ctb], Sean Potter [ctb], Yuejia (Mandy) Teng [ctb]
Maintainer: Jeffrey A. Dahlke <dahlk068@umn.edu>

Diff between psychmeta versions 0.1.1 dated 2017-10-03 and 0.1.2 dated 2017-11-16

 DESCRIPTION                 |   10 +-
 MD5                         |   68 ++++++++---------
 NAMESPACE                   |    3 
 R/convert_es.R              |    4 -
 R/correct_d.R               |    6 +
 R/correct_r.R               |  175 ++++++++++++++++++++++++++++++++++++++++++--
 R/create_ad.R               |    2 
 R/data_wrangling.R          |   43 ++++++++--
 R/filters.R                 |   34 ++++++++
 R/heterogeneity.R           |  101 ++++++++++++++++++++++++-
 R/impute_artifacts.R        |   31 ++++---
 R/ma_d_bb.R                 |    4 -
 R/ma_d_order2.R             |    4 -
 R/ma_generic.R              |    6 -
 R/ma_r.R                    |   69 +++++++++++------
 R/ma_r_ad.R                 |    3 
 R/ma_r_bb.R                 |    3 
 R/ma_r_ic.R                 |    3 
 R/ma_r_order2.R             |    3 
 R/ma_wrappers.R             |   31 ++++++-
 R/print_methods.R           |    2 
 R/reshape.R                 |    4 -
 R/sensitivity.R             |   16 +++-
 R/sensitivity_bootstrap.R   |   18 ++--
 R/sensitivity_cumulative.R  |   30 ++++---
 R/sensitivity_leave1out.R   |   22 ++---
 R/simulate_d.R              |   19 ++--
 R/simulate_r.R              |   51 ++++++++----
 R/zzz.R                     |    5 -
 README.md                   |    3 
 man/clean_warning.Rd        |only
 man/correct_r_coarseness.Rd |only
 man/heterogeneity.Rd        |    8 +-
 man/ma_r_generic.Rd         |    2 
 man/simulate_d_database.Rd  |    6 +
 man/simulate_d_sample.Rd    |    2 
 36 files changed, 608 insertions(+), 183 deletions(-)

More information about psychmeta at CRAN
Permanent link

Package ICRanks updated to version 1.2 with previous version 1.1 dated 2017-11-03

Title: Simultaneous Confidence Intervals for Ranks
Description: Algorithms to construct confidence intervals for the ranks of centers mu_1,...,mu_n based on an independent Gaussian sample using multiple testing techniques.
Author: Diaa Al Mohamad and Erik W. van Zwet and Jelle J. Goeman
Maintainer: Diaa Al Mohamad <diaa.almohamad@gmail.com>

Diff between ICRanks versions 1.1 dated 2017-11-03 and 1.2 dated 2017-11-16

 DESCRIPTION              |    8 ++++----
 MD5                      |    6 +++---
 R/ic.ranks.R             |    5 +++--
 src/PartitionByBlock.cpp |    7 ++++---
 4 files changed, 14 insertions(+), 12 deletions(-)

More information about ICRanks at CRAN
Permanent link

Package fPortfolio updated to version 3042.83 with previous version 3011.81 dated 2014-10-30

Title: Rmetrics - Portfolio Selection and Optimization
Description: Provides a collection of functions to optimize portfolios and to analyze them from different points of view.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb], William Chen [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fPortfolio versions 3011.81 dated 2014-10-30 and 3042.83 dated 2017-11-16

 ChangeLog                      |    7 
 DESCRIPTION                    |   33 -
 MD5                            |   30 -
 NAMESPACE                      |  128 ++++
 R/mathprogLP-symphony.R        |    5 
 R/mathprogNLP.R                |    4 
 R/methods-show.R               |    5 
 R/monitor-stability.R          |   33 -
 R/object-portfolioSpec.R       |   34 -
 R/object-setSpec.R             |   71 +-
 R/portfolio-riskPfolio.R       |  527 +++++++++---------
 R/risk-tailBudgets.R           | 1169 ++++++++++++++++++++---------------------
 R/zzz.R                        |  138 ++--
 man/00fPortfolio-package.Rd    |   92 +--
 man/portfolio-portfolioSpec.Rd |  750 +++++++++++++-------------
 man/portfolio-riskPfolio.Rd    |    3 
 16 files changed, 1614 insertions(+), 1415 deletions(-)

More information about fPortfolio at CRAN
Permanent link

Package fMultivar updated to version 3042.80 with previous version 3011.78 dated 2014-09-06

Title: Rmetrics - Analysing and Modeling Multivariate Financial Return Distributions
Description: Provides a collection of functions to manage, to investigate and to analyze bivariate and multivariate data sets of financial returns.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fMultivar versions 3011.78 dated 2014-09-06 and 3042.80 dated 2017-11-16

 DESCRIPTION                              |   29 +--
 MD5                                      |   12 -
 NAMESPACE                                |   10 +
 R/zzz.R                                  |   80 ++++-----
 inst/unitTests/Makefile                  |    2 
 inst/unitTests/runit.BivariateGridding.R |  187 +++++++++++-----------
 man/utils-adapt.Rd                       |  258 +++++++++++++++----------------
 7 files changed, 294 insertions(+), 284 deletions(-)

More information about fMultivar at CRAN
Permanent link

Package fImport updated to version 3042.84 with previous version 3000.82 dated 2013-03-15

Title: Rmetrics - Importing Economic and Financial Data
Description: Provides a collection of utility functions to download and manage data sets from the Internet or from other sources.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fImport versions 3000.82 dated 2013-03-15 and 3042.84 dated 2017-11-16

 fImport-3000.82/fImport/R/builtin-xlsGdata.R       |only
 fImport-3000.82/fImport/R/import-oanda.R           |only
 fImport-3000.82/fImport/R/import-yahoo.R           |only
 fImport-3000.82/fImport/R/read-download.R          |only
 fImport-3000.82/fImport/R/read-split.R             |only
 fImport-3000.82/fImport/R/read-xls.R               |only
 fImport-3000.82/fImport/R/utils-yahoo.R            |only
 fImport-3000.82/fImport/data/amexListing.csv.gz    |only
 fImport-3000.82/fImport/data/h15Listing.csv.gz     |only
 fImport-3000.82/fImport/data/nasdaqListing.csv.gz  |only
 fImport-3000.82/fImport/data/nyseListing.csv.gz    |only
 fImport-3000.82/fImport/data/oandaListing.csv.gz   |only
 fImport-3000.82/fImport/data/stoxxListing.csv.gz   |only
 fImport-3000.82/fImport/data/swxListing.csv.gz     |only
 fImport-3000.82/fImport/inst/COPYRIGHT.html        |only
 fImport-3000.82/fImport/inst/THANKS                |only
 fImport-3000.82/fImport/inst/perl                  |only
 fImport-3000.82/fImport/man/import-oanda.Rd        |only
 fImport-3000.82/fImport/man/import-yahoo.Rd        |only
 fImport-3000.82/fImport/man/read-download.Rd       |only
 fImport-3000.82/fImport/man/read-split.Rd          |only
 fImport-3000.82/fImport/man/read-xls.Rd            |only
 fImport-3000.82/fImport/man/utils-yahooBriefing.Rd |only
 fImport-3000.82/fImport/man/utils-yahooKeystats.Rd |only
 fImport-3042.84/fImport/ChangeLog                  |    4 
 fImport-3042.84/fImport/DESCRIPTION                |   30 -
 fImport-3042.84/fImport/MD5                        |  106 ++----
 fImport-3042.84/fImport/NAMESPACE                  |   59 ---
 fImport-3042.84/fImport/NEWS                       |only
 fImport-3042.84/fImport/R/class-fWEBDATA.R         |    4 
 fImport-3042.84/fImport/R/import-fred.R            |  339 ++++++++++-----------
 fImport-3042.84/fImport/R/methods-show.R           |    4 
 fImport-3042.84/fImport/R/read-lines.R             |   71 ++--
 fImport-3042.84/fImport/R/read-links.R             |  114 +++----
 fImport-3042.84/fImport/R/read-lynx.R              |    8 
 fImport-3042.84/fImport/R/read-w3m.R               |   10 
 fImport-3042.84/fImport/R/utils-download.R         |only
 fImport-3042.84/fImport/R/utils-split.R            |only
 fImport-3042.84/fImport/R/zzz.R                    |   71 ++--
 fImport-3042.84/fImport/data/amexListing.csv       |only
 fImport-3042.84/fImport/data/h15Listing.csv        |only
 fImport-3042.84/fImport/data/nasdaqListing.csv     |only
 fImport-3042.84/fImport/data/nyseListing.csv       |only
 fImport-3042.84/fImport/data/oandaListing.csv      |only
 fImport-3042.84/fImport/data/stoxxListing.csv      |only
 fImport-3042.84/fImport/data/swxListing.csv        |only
 fImport-3042.84/fImport/inst/obsolete              |only
 fImport-3042.84/fImport/man/00fImport-package.Rd   |  264 +++++++---------
 fImport-3042.84/fImport/man/class-fWEBDATA.Rd      |   15 
 fImport-3042.84/fImport/man/import-fred.Rd         |  302 +++++++++---------
 fImport-3042.84/fImport/man/provider-listings.Rd   |   22 +
 fImport-3042.84/fImport/man/read-links.Rd          |   24 +
 fImport-3042.84/fImport/man/read-lynx.Rd           |   23 +
 fImport-3042.84/fImport/man/read-w3m.Rd            |   23 +
 fImport-3042.84/fImport/man/utils-download.Rd      |only
 fImport-3042.84/fImport/man/utils-split.Rd         |only
 56 files changed, 762 insertions(+), 731 deletions(-)

More information about fImport at CRAN
Permanent link

Package fCopulae updated to version 3042.82 with previous version 3011.81 dated 2014-09-17

Title: Rmetrics - Bivariate Dependence Structures with Copulae
Description: Provides a collection of functions to manage, to investigate and to analyze bivariate financial returns by Copulae. Included are the families of Archemedean, Elliptical, Extreme Value, and Empirical Copulae.
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>

Diff between fCopulae versions 3011.81 dated 2014-09-17 and 3042.82 dated 2017-11-16

 DESCRIPTION             |   25 ++++++------
 MD5                     |    8 ++--
 NAMESPACE               |    5 ++
 R/zzz.R                 |   96 ++++++++++++++++++++++++------------------------
 inst/unitTests/Makefile |    2 -
 5 files changed, 70 insertions(+), 66 deletions(-)

More information about fCopulae at CRAN
Permanent link

Package dequer updated to version 2.0-1 with previous version 2.0-0 dated 2016-09-26

Title: Stacks, Queues, and 'Deques' for R
Description: Queues, stacks, and 'deques' are list-like, abstract data types. These are meant to be very cheap to "grow", or insert new objects into. A typical use case involves storing data in a list in a streaming fashion, when you do not necessarily know how may elements need to be stored. Unlike R's lists, the new data structures provided here are not necessarily stored contiguously, making insertions and deletions at the front/end of the structure much faster. The underlying implementation is new and uses a head/tail doubly linked list; thus, we do not rely on R's environments or hashing. To avoid unnecessary data copying, most operations on these data structures are performed via side-effects.
Author: Drew Schmidt [aut, cre]
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between dequer versions 2.0-0 dated 2016-09-26 and 2.0-1 dated 2017-11-16

 dequer-2.0-0/dequer/tests/dontrun       |only
 dequer-2.0-1/dequer/ChangeLog           |    5 +++++
 dequer-2.0-1/dequer/DESCRIPTION         |    6 +++---
 dequer-2.0-1/dequer/LICENSE             |    2 +-
 dequer-2.0-1/dequer/MD5                 |   22 +++++++++++-----------
 dequer-2.0-1/dequer/R/popping.r         |    8 ++++----
 dequer-2.0-1/dequer/README.md           |    7 ++++++-
 dequer-2.0-1/dequer/src/constructor.c   |   10 +++-------
 dequer-2.0-1/dequer/src/converters.c    |    2 +-
 dequer-2.0-1/dequer/src/deque.c         |   30 +++++++++++++++++++-----------
 dequer-2.0-1/dequer/src/deque.h         |    6 +++---
 dequer-2.0-1/dequer/src/dequer_native.c |only
 dequer-2.0-1/dequer/src/utils.c         |   29 ++++++++++++++++++++++++-----
 13 files changed, 80 insertions(+), 47 deletions(-)

More information about dequer at CRAN
Permanent link

Package mkin updated to version 0.9.46.3 with previous version 0.9.46.2 dated 2017-10-10

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers and a choice of the optimisation methods made available by the 'FME' package. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using compiled C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (0000-0003-4371-6538), Katrin Lindenberger [ctb], René Lehmann [ctb], Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

Diff between mkin versions 0.9.46.2 dated 2017-10-10 and 0.9.46.3 dated 2017-11-16

 DESCRIPTION                   |   12 +--
 MD5                           |   59 ++++++++++----
 NEWS.md                       |    8 +-
 R/add_err.R                   |    6 -
 README.md                     |   56 +++++++-------
 inst/doc/FOCUS_D.R            |   20 -----
 inst/doc/FOCUS_D.Rmd          |    4 -
 inst/doc/FOCUS_D.html         |  168 ++++++++++++------------------------------
 inst/doc/FOCUS_L.html         |   60 +++++++--------
 inst/doc/FOCUS_Z.Rmd          |    2 
 inst/doc/FOCUS_Z.html         |    6 -
 inst/doc/compiled_models.html |   16 ++--
 inst/doc/mkin.Rmd             |    6 -
 inst/doc/mkin.html            |    8 +-
 inst/doc/twa.html             |    4 -
 man/add_err.Rd                |    5 +
 man/synthetic_data_for_UBA.Rd |   82 +++++++++++++++++++-
 vignettes/FOCUS_D.Rmd         |    4 -
 vignettes/FOCUS_D_cache       |only
 vignettes/FOCUS_D_files       |only
 vignettes/FOCUS_Z.Rmd         |    2 
 vignettes/mkin.Rmd            |    6 -
 22 files changed, 275 insertions(+), 259 deletions(-)

More information about mkin at CRAN
Permanent link

Package fcros updated to version 1.5.5 with previous version 1.5.4 dated 2017-04-14

Title: A Method to Search for Differentially Expressed Genes and to Detect Recurrent Chromosomal Copy Number Aberrations
Description: A fold change rank based method is presented to search for genes with changing expression and to detect recurrent chromosomal copy number aberrations. This method may be useful for high-throughput biological data (micro-array, sequencing, ...). Probabilities are associated with genes or probes in the data set and there is no problem of multiple tests when using this method. For array-based comparative genomic hybridization data, segmentation results are obtained by merging the significant probes detected.
Author: Doulaye Dembele
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>

Diff between fcros versions 1.5.4 dated 2017-04-14 and 1.5.5 dated 2017-11-16

 DESCRIPTION          |    8 ++++----
 MD5                  |   22 +++++++++++++---------
 NAMESPACE            |    5 +++--
 R/fcros.R            |    2 +-
 R/fcrosMod.R         |    2 +-
 R/pfco.R             |   19 +++++++++----------
 R/pfcoMod.R          |   19 +++++++++----------
 R/rankReads.R        |only
 R/tcnReads.R         |only
 man/fcros-package.Rd |   10 ++++++++--
 man/rankReads.Rd     |only
 man/tcnReads.Rd      |only
 src/fcros.c          |    3 +--
 src/fcros.h          |    2 +-
 14 files changed, 50 insertions(+), 42 deletions(-)

More information about fcros at CRAN
Permanent link

Package rtweet updated to version 0.6.0 with previous version 0.4.0 dated 2017-01-18

Title: Collecting Twitter Data
Description: An implementation of calls designed to collect and organize Twitter data via Twitter's REST and stream Application Program Interfaces (API), which can be found at the following URL: <https://developer.twitter.com/en/docs>.
Author: Michael W. Kearney [aut, cre]
Maintainer: Michael W. Kearney <kearneymw@missouri.edu>

Diff between rtweet versions 0.4.0 dated 2017-01-18 and 0.6.0 dated 2017-11-16

 rtweet-0.4.0/rtweet/R/TWIT.R                                 |only
 rtweet-0.4.0/rtweet/R/parse.R                                |only
 rtweet-0.4.0/rtweet/R/parse.piper.R                          |only
 rtweet-0.4.0/rtweet/R/parse.tweets.R                         |only
 rtweet-0.4.0/rtweet/R/parse.users.R                          |only
 rtweet-0.4.0/rtweet/R/plot.R                                 |only
 rtweet-0.4.0/rtweet/R/rate.limit.R                           |only
 rtweet-0.4.0/rtweet/R/rtplot.R                               |only
 rtweet-0.4.0/rtweet/R/save.csv.R                             |only
 rtweet-0.4.0/rtweet/R/scroll.R                               |only
 rtweet-0.4.0/rtweet/R/search.R                               |only
 rtweet-0.4.0/rtweet/R/text.R                                 |only
 rtweet-0.4.0/rtweet/R/woeids.R                               |only
 rtweet-0.4.0/rtweet/man/find_woeid.Rd                        |only
 rtweet-0.4.0/rtweet/man/mutate_coords.Rd                     |only
 rtweet-0.4.0/rtweet/man/parse_data.Rd                        |only
 rtweet-0.4.0/rtweet/man/parser.Rd                            |only
 rtweet-0.4.0/rtweet/man/post_mute.Rd                         |only
 rtweet-0.4.0/rtweet/man/post_unfollow_user.Rd                |only
 rtweet-0.4.0/rtweet/man/rtweet.Rd                            |only
 rtweet-0.4.0/rtweet/man/ts_filter.Rd                         |only
 rtweet-0.6.0/rtweet/DESCRIPTION                              |   30 
 rtweet-0.6.0/rtweet/MD5                                      |  218 ++-
 rtweet-0.6.0/rtweet/NAMESPACE                                |   74 -
 rtweet-0.6.0/rtweet/NEWS.md                                  |   89 +
 rtweet-0.6.0/rtweet/R/as_screenname.R                        |only
 rtweet-0.6.0/rtweet/R/collections.R                          |only
 rtweet-0.6.0/rtweet/R/coords.R                               |only
 rtweet-0.6.0/rtweet/R/data.R                                 |only
 rtweet-0.6.0/rtweet/R/direct_messages.R                      |only
 rtweet-0.6.0/rtweet/R/do_call_rbind.R                        |only
 rtweet-0.6.0/rtweet/R/extractors.R                           |  157 --
 rtweet-0.6.0/rtweet/R/favorites.R                            |  235 ++-
 rtweet-0.6.0/rtweet/R/followers.R                            |  284 +++-
 rtweet-0.6.0/rtweet/R/friends.R                              |  466 +++++--
 rtweet-0.6.0/rtweet/R/lat_lng.R                              |only
 rtweet-0.6.0/rtweet/R/lists_members.R                        |only
 rtweet-0.6.0/rtweet/R/lists_memberships.R                    |only
 rtweet-0.6.0/rtweet/R/lists_parsing.R                        |only
 rtweet-0.6.0/rtweet/R/lists_statuses.R                       |only
 rtweet-0.6.0/rtweet/R/lists_subscribers.R                    |only
 rtweet-0.6.0/rtweet/R/lists_users.R                          |only
 rtweet-0.6.0/rtweet/R/mentions.R                             |only
 rtweet-0.6.0/rtweet/R/next_cursor.R                          |only
 rtweet-0.6.0/rtweet/R/plain_tweets.R                         |only
 rtweet-0.6.0/rtweet/R/post.R                                 |  381 +++---
 rtweet-0.6.0/rtweet/R/rate_limit.R                           |only
 rtweet-0.6.0/rtweet/R/renv.R                                 |only
 rtweet-0.6.0/rtweet/R/retweets.R                             |only
 rtweet-0.6.0/rtweet/R/rtweet-package.R                       |   19 
 rtweet-0.6.0/rtweet/R/save_as_csv.R                          |only
 rtweet-0.6.0/rtweet/R/search_tweets.R                        |only
 rtweet-0.6.0/rtweet/R/search_users.R                         |only
 rtweet-0.6.0/rtweet/R/statuses.R                             |  168 +-
 rtweet-0.6.0/rtweet/R/stream.R                               |  655 ++++++----
 rtweet-0.6.0/rtweet/R/suggested.R                            |only
 rtweet-0.6.0/rtweet/R/timeline.R                             |  231 ++-
 rtweet-0.6.0/rtweet/R/tokens.R                               |  597 ++++++---
 rtweet-0.6.0/rtweet/R/trends.R                               |  303 +++-
 rtweet-0.6.0/rtweet/R/ts_plot.R                              |only
 rtweet-0.6.0/rtweet/R/tweets_and_users.R                     |only
 rtweet-0.6.0/rtweet/R/users.R                                |  152 +-
 rtweet-0.6.0/rtweet/R/utils.R                                |  691 ++++++-----
 rtweet-0.6.0/rtweet/README.md                                |  263 +++-
 rtweet-0.6.0/rtweet/build/vignette.rds                       |binary
 rtweet-0.6.0/rtweet/data                                     |only
 rtweet-0.6.0/rtweet/inst/CITATION                            |   24 
 rtweet-0.6.0/rtweet/inst/assets                              |only
 rtweet-0.6.0/rtweet/inst/doc/auth.R                          |    6 
 rtweet-0.6.0/rtweet/inst/doc/auth.Rmd                        |    6 
 rtweet-0.6.0/rtweet/inst/doc/auth.html                       |   10 
 rtweet-0.6.0/rtweet/inst/doc/intro.R                         |  242 ++-
 rtweet-0.6.0/rtweet/inst/doc/intro.Rmd                       |  303 ++--
 rtweet-0.6.0/rtweet/inst/doc/intro.html                      |  282 ++--
 rtweet-0.6.0/rtweet/inst/doc/stream.R                        |   80 -
 rtweet-0.6.0/rtweet/inst/doc/stream.Rmd                      |  109 -
 rtweet-0.6.0/rtweet/inst/doc/stream.html                     |   95 -
 rtweet-0.6.0/rtweet/man/as_screenname.Rd                     |only
 rtweet-0.6.0/rtweet/man/create_token.Rd                      |   49 
 rtweet-0.6.0/rtweet/man/direct_messages.Rd                   |only
 rtweet-0.6.0/rtweet/man/do_call_rbind.Rd                     |only
 rtweet-0.6.0/rtweet/man/emojis.Rd                            |only
 rtweet-0.6.0/rtweet/man/figures                              |only
 rtweet-0.6.0/rtweet/man/get_collections.Rd                   |only
 rtweet-0.6.0/rtweet/man/get_favorites.Rd                     |   92 -
 rtweet-0.6.0/rtweet/man/get_followers.Rd                     |  112 +
 rtweet-0.6.0/rtweet/man/get_friends.Rd                       |  101 +
 rtweet-0.6.0/rtweet/man/get_mentions.Rd                      |only
 rtweet-0.6.0/rtweet/man/get_retweeters.Rd                    |only
 rtweet-0.6.0/rtweet/man/get_retweets.Rd                      |only
 rtweet-0.6.0/rtweet/man/get_timeline.Rd                      |   95 -
 rtweet-0.6.0/rtweet/man/get_tokens.Rd                        |   38 
 rtweet-0.6.0/rtweet/man/get_trends.Rd                        |   78 -
 rtweet-0.6.0/rtweet/man/langs.Rd                             |only
 rtweet-0.6.0/rtweet/man/lat_lng.Rd                           |only
 rtweet-0.6.0/rtweet/man/lists_members.Rd                     |only
 rtweet-0.6.0/rtweet/man/lists_statuses.Rd                    |only
 rtweet-0.6.0/rtweet/man/lists_subscribers.Rd                 |only
 rtweet-0.6.0/rtweet/man/lists_users.Rd                       |only
 rtweet-0.6.0/rtweet/man/lookup_collections.Rd                |only
 rtweet-0.6.0/rtweet/man/lookup_coords.Rd                     |   47 
 rtweet-0.6.0/rtweet/man/lookup_friendships.Rd                |   19 
 rtweet-0.6.0/rtweet/man/lookup_statuses.Rd                   |   66 -
 rtweet-0.6.0/rtweet/man/lookup_users.Rd                      |   57 
 rtweet-0.6.0/rtweet/man/my_friendships.Rd                    |only
 rtweet-0.6.0/rtweet/man/next_cursor.Rd                       |   46 
 rtweet-0.6.0/rtweet/man/parse_stream.Rd                      |   45 
 rtweet-0.6.0/rtweet/man/plain_tweets.Rd                      |only
 rtweet-0.6.0/rtweet/man/post_favorite.Rd                     |    9 
 rtweet-0.6.0/rtweet/man/post_follow.Rd                       |   17 
 rtweet-0.6.0/rtweet/man/post_friendship.Rd                   |    9 
 rtweet-0.6.0/rtweet/man/post_message.Rd                      |only
 rtweet-0.6.0/rtweet/man/post_tweet.Rd                        |   42 
 rtweet-0.6.0/rtweet/man/rate_limit.Rd                        |   79 -
 rtweet-0.6.0/rtweet/man/read_twitter_csv.Rd                  |only
 rtweet-0.6.0/rtweet/man/reexports.Rd                         |    4 
 rtweet-0.6.0/rtweet/man/rtweet-package.Rd                    |only
 rtweet-0.6.0/rtweet/man/save_as_csv.Rd                       |   55 
 rtweet-0.6.0/rtweet/man/search_tweets.Rd                     |  255 ++--
 rtweet-0.6.0/rtweet/man/search_users.Rd                      |   77 -
 rtweet-0.6.0/rtweet/man/stopwordslangs.Rd                    |only
 rtweet-0.6.0/rtweet/man/stream_tweets.Rd                     |  199 ++-
 rtweet-0.6.0/rtweet/man/suggested_users.Rd                   |only
 rtweet-0.6.0/rtweet/man/trends_available.Rd                  |   24 
 rtweet-0.6.0/rtweet/man/ts_data.Rd                           |only
 rtweet-0.6.0/rtweet/man/ts_plot.Rd                           |  229 ---
 rtweet-0.6.0/rtweet/man/tweets_data.Rd                       |   40 
 rtweet-0.6.0/rtweet/man/tweets_with_users.Rd                 |only
 rtweet-0.6.0/rtweet/man/users_data.Rd                        |   38 
 rtweet-0.6.0/rtweet/man/write_as_csv.Rd                      |only
 rtweet-0.6.0/rtweet/tests/testthat/test_get_favorites.R      |   10 
 rtweet-0.6.0/rtweet/tests/testthat/test_get_followers.R      |   14 
 rtweet-0.6.0/rtweet/tests/testthat/test_get_timelines.R      |   39 
 rtweet-0.6.0/rtweet/tests/testthat/test_get_trends.R         |   16 
 rtweet-0.6.0/rtweet/tests/testthat/test_get_trends_closest.R |only
 rtweet-0.6.0/rtweet/tests/testthat/test_lists_funs.R         |only
 rtweet-0.6.0/rtweet/tests/testthat/test_lookup_statuses.R    |   14 
 rtweet-0.6.0/rtweet/tests/testthat/test_save_as_csv.R        |   26 
 rtweet-0.6.0/rtweet/tests/testthat/test_search_tweets.R      |    7 
 rtweet-0.6.0/rtweet/tests/testthat/test_stream_tweets.R      |   11 
 rtweet-0.6.0/rtweet/tests/testthat/test_tokens.R             |   20 
 rtweet-0.6.0/rtweet/tools                                    |only
 rtweet-0.6.0/rtweet/vignettes/auth.Rmd                       |    6 
 rtweet-0.6.0/rtweet/vignettes/intro.Rmd                      |  303 ++--
 rtweet-0.6.0/rtweet/vignettes/stream.Rmd                     |  109 -
 145 files changed, 5200 insertions(+), 3467 deletions(-)

More information about rtweet at CRAN
Permanent link

Package reticulate updated to version 1.3 with previous version 1.2 dated 2017-09-27

Title: R Interface to Python
Description: R interface to Python modules, classes, and functions. When calling into Python R data types are automatically converted to their equivalent Python types. When values are returned from Python to R they are converted back to R types. Compatible with all versions of Python >= 2.7.
Author: JJ Allaire [aut, cre], Kevin Ushey [ctb], RStudio [cph, fnd], Yuan Tang [aut, cph], Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between reticulate versions 1.2 dated 2017-09-27 and 1.3 dated 2017-11-16

 DESCRIPTION                               |    6 -
 MD5                                       |   86 ++++++++++++-------
 NAMESPACE                                 |   12 ++
 NEWS.md                                   |   50 +++++++++++
 R/RcppExports.R                           |    8 +
 R/array.R                                 |   78 ++++++++++--------
 R/config.R                                |   78 ++++++++++++++++--
 R/generator.R                             |   17 +++
 R/knitr-engine.R                          |only
 R/output.R                                |   14 +--
 R/package.R                               |   12 +-
 R/pickle.R                                |only
 R/python.R                                |   93 +++++++++++++++++++--
 R/use_python.R                            |    3 
 R/utils.R                                 |   18 ++++
 R/zzz.R                                   |only
 inst/doc/arrays.R                         |   23 +++++
 inst/doc/arrays.Rmd                       |   46 ++++++++++
 inst/doc/arrays.html                      |   27 ++++++
 inst/doc/introduction.Rmd                 |   12 ++
 inst/doc/introduction.html                |   36 +++++++-
 inst/doc/versions.Rmd                     |    4 
 inst/doc/versions.html                    |    4 
 inst/python/rpytools/output.py            |   14 ++-
 inst/python/rpytools/output.pyc           |binary
 man/array_reshape.Rd                      |only
 man/eng_python.Rd                         |only
 man/np_array.Rd                           |    6 -
 man/py.Rd                                 |only
 man/py_id.Rd                              |only
 man/py_iterator.Rd                        |    2 
 man/py_len.Rd                             |only
 man/py_save_object.Rd                     |only
 man/py_to_r_wrapper.Rd                    |only
 src/RcppExports.cpp                       |   24 +++++
 src/libpython.cpp                         |   26 +++++-
 src/libpython.h                           |    1 
 src/output.cpp                            |only
 src/python.cpp                            |  130 +++++++++++++++++++-----------
 tests/testthat/resources                  |only
 tests/testthat/test-python-arrays.R       |only
 tests/testthat/test-python-comparisons.R  |   10 +-
 tests/testthat/test-python-engine.R       |only
 tests/testthat/test-python-knitr-engine.R |only
 tests/testthat/test-python-lists.R        |   13 +++
 tests/testthat/test-python-numpy.R        |   17 ---
 tests/testthat/test-python-pickle.R       |only
 tests/testthat/test-python-strings.R      |only
 tests/testthat/utils.R                    |    2 
 vignettes/arrays.Rmd                      |   46 ++++++++++
 vignettes/introduction.Rmd                |   12 ++
 vignettes/versions.Rmd                    |    4 
 52 files changed, 740 insertions(+), 194 deletions(-)

More information about reticulate at CRAN
Permanent link

Package texmex updated to version 2.4 with previous version 2.3 dated 2016-11-18

Title: Statistical Modelling of Extreme Values
Description: Statistical extreme value modelling of threshold excesses, maxima and multivariate extremes. Univariate models for threshold excesses and maxima are the Generalised Pareto, and Generalised Extreme Value model respectively. These models may be fitted by using maximum (optionally penalised-)likelihood, or Bayesian estimation, and both classes of models may be fitted with covariates in any/all model parameters. Model diagnostics support the fitting process. Graphical output for visualising fitted models and return level estimates is provided. For serially dependent sequences, the intervals declustering algorithm of Ferro and Segers (2003) <doi:10.1111/1467-9868.00401> is provided, with diagnostic support to aid selection of threshold and declustering horizon. Multivariate modelling is performed via the conditional approach of Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>, with graphical tools for threshold selection and to diagnose estimation convergence.
Author: Harry Southworth [aut, cre], Janet E. Heffernan [aut], Paul D. Metcalfe [aut], Yiannis Papastathopoulos [ctb], Alec Stephenson [ctb], Stuart Coles [ctb]
Maintainer: Harry Southworth <harry.southworth@gmail.com>

Diff between texmex versions 2.3 dated 2016-11-18 and 2.4 dated 2017-11-16

 texmex-2.3/texmex/R/internal-roxygen.R                |only
 texmex-2.3/texmex/R/inv_Laplace.R                     |only
 texmex-2.4/texmex/DESCRIPTION                         |   48 ++--
 texmex-2.4/texmex/MD5                                 |  176 +++++++++---------
 texmex-2.4/texmex/NAMESPACE                           |    7 
 texmex-2.4/texmex/R/AIC.evm.R                         |   61 +++++-
 texmex-2.4/texmex/R/bootmex.R                         |   14 -
 texmex-2.4/texmex/R/constructObject.R                 |    2 
 texmex-2.4/texmex/R/evm.R                             |   17 +
 texmex-2.4/texmex/R/evm.simSetSeed.R                  |   11 -
 texmex-2.4/texmex/R/evmBoot.R                         |   20 +-
 texmex-2.4/texmex/R/evmSim.R                          |    2 
 texmex-2.4/texmex/R/extremalIndex.R                   |   88 ++++-----
 texmex-2.4/texmex/R/ggplot.predict.R                  |    4 
 texmex-2.4/texmex/R/ggplot.thresh.R                   |    2 
 texmex-2.4/texmex/R/gumbel.R                          |only
 texmex-2.4/texmex/R/jointExceedanceCurves.R           |   73 +++----
 texmex-2.4/texmex/R/mexMonteCarlo.R                   |   10 -
 texmex-2.4/texmex/R/mexRangeFit.R                     |   11 -
 texmex-2.4/texmex/R/migpd.R                           |   26 +-
 texmex-2.4/texmex/R/mrl.R                             |    8 
 texmex-2.4/texmex/R/mspearman.R                       |   10 -
 texmex-2.4/texmex/R/predict.evm.R                     |   21 +-
 texmex-2.4/texmex/R/print.evm.R                       |    8 
 texmex-2.4/texmex/R/special.functions.R               |    2 
 texmex-2.4/texmex/R/summary.evm.R                     |    7 
 texmex-2.4/texmex/R/texmex-package.R                  |  158 ++++++++--------
 texmex-2.4/texmex/R/texmexFamily.R                    |    6 
 texmex-2.4/texmex/R/texmexWorkers.R                   |    5 
 texmex-2.4/texmex/R/weibull.R                         |only
 texmex-2.4/texmex/R/weibull.info.R                    |only
 texmex-2.4/texmex/README.md                           |    6 
 texmex-2.4/texmex/inst/doc/declustering.pdf           |binary
 texmex-2.4/texmex/inst/doc/egp3.pdf                   |binary
 texmex-2.4/texmex/inst/doc/test_texmex.pdf            |binary
 texmex-2.4/texmex/inst/doc/texmex1d.pdf               |binary
 texmex-2.4/texmex/inst/doc/texmexMultivariate.pdf     |binary
 texmex-2.4/texmex/man/AIC.evmOpt.Rd                   |   24 +-
 texmex-2.4/texmex/man/JointExceedanceCurve.Rd         |    5 
 texmex-2.4/texmex/man/MCS.Rd                          |   20 +-
 texmex-2.4/texmex/man/addExcesses.Rd                  |    1 
 texmex-2.4/texmex/man/airPollution.Rd                 |    3 
 texmex-2.4/texmex/man/bootmex.Rd                      |    9 
 texmex-2.4/texmex/man/chi.Rd                          |   11 -
 texmex-2.4/texmex/man/copula.Rd                       |    7 
 texmex-2.4/texmex/man/degp3.Rd                        |    7 
 texmex-2.4/texmex/man/dgev.Rd                         |    1 
 texmex-2.4/texmex/man/dgpd.Rd                         |    1 
 texmex-2.4/texmex/man/edf.Rd                          |    7 
 texmex-2.4/texmex/man/egp3RangeFit.Rd                 |   11 -
 texmex-2.4/texmex/man/endPoint.Rd                     |    3 
 texmex-2.4/texmex/man/evm.Rd                          |   11 -
 texmex-2.4/texmex/man/evmBoot.Rd                      |   18 -
 texmex-2.4/texmex/man/evmSim.Rd                       |    1 
 texmex-2.4/texmex/man/evmSimSetSeed.Rd                |    7 
 texmex-2.4/texmex/man/extremalIndex.Rd                |   25 +-
 texmex-2.4/texmex/man/ggplot.declustered.Rd           |    1 
 texmex-2.4/texmex/man/ggplot.evmBoot.Rd               |    3 
 texmex-2.4/texmex/man/ggplot.evmOpt.Rd                |    5 
 texmex-2.4/texmex/man/ggplot.evmSim.Rd                |    5 
 texmex-2.4/texmex/man/ggplot.rl.evmOpt.Rd             |    3 
 texmex-2.4/texmex/man/gpdRangeFit.Rd                  |   13 -
 texmex-2.4/texmex/man/liver.Rd                        |    1 
 texmex-2.4/texmex/man/logLik.evmOpt.Rd                |    1 
 texmex-2.4/texmex/man/mex.Rd                          |   26 +-
 texmex-2.4/texmex/man/mexDependence.Rd                |    7 
 texmex-2.4/texmex/man/mexMonteCarlo.Rd                |    7 
 texmex-2.4/texmex/man/mexRangeFit.Rd                  |    7 
 texmex-2.4/texmex/man/migpd.Rd                        |   11 -
 texmex-2.4/texmex/man/migpdCoefs.Rd                   |    7 
 texmex-2.4/texmex/man/mrl.Rd                          |   21 +-
 texmex-2.4/texmex/man/plot.evmOpt.Rd                  |    1 
 texmex-2.4/texmex/man/plot.evmSim.Rd                  |    1 
 texmex-2.4/texmex/man/predict.evmOpt.Rd               |   11 -
 texmex-2.4/texmex/man/print.evmOpt.Rd                 |only
 texmex-2.4/texmex/man/rFrechet.Rd                     |    1 
 texmex-2.4/texmex/man/rMaxAR.Rd                       |    1 
 texmex-2.4/texmex/man/rain.Rd                         |    7 
 texmex-2.4/texmex/man/rl.Rd                           |    7 
 texmex-2.4/texmex/man/simulate.evmOpt.Rd              |    9 
 texmex-2.4/texmex/man/texmex-package.Rd               |   49 ++---
 texmex-2.4/texmex/man/texmexFamily.Rd                 |   23 +-
 texmex-2.4/texmex/man/thinAndBurn.Rd                  |    7 
 texmex-2.4/texmex/src/texmex.c                        |    1 
 texmex-2.4/texmex/tests/testthat.R                    |    3 
 texmex-2.4/texmex/tests/testthat/test-dgpd.R          |    2 
 texmex-2.4/texmex/tests/testthat/test-evm.R           |   18 -
 texmex-2.4/texmex/tests/testthat/test-extremalIndex.R |   28 +-
 texmex-2.4/texmex/tests/testthat/test-gumbel.R        |only
 texmex-2.4/texmex/tests/testthat/test-mexDependence.R |    4 
 texmex-2.4/texmex/tests/testthat/test-pgpd.R          |    2 
 texmex-2.4/texmex/tests/testthat/test-qgpd.R          |    2 
 texmex-2.4/texmex/tests/testthat/test-weibull.R       |only
 93 files changed, 672 insertions(+), 598 deletions(-)

More information about texmex at CRAN
Permanent link

Package TAM updated to version 2.8-21 with previous version 2.7-56 dated 2017-10-19

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between TAM versions 2.7-56 dated 2017-10-19 and 2.8-21 dated 2017-11-16

 DESCRIPTION                                           |   16 
 MD5                                                   |  915 +++++++++---------
 R/DescribeBy.R                                        |    1 
 R/EAPrel.R                                            |    1 
 R/IRT.WrightMap.R                                     |    1 
 R/IRT.data.tam.R                                      |    1 
 R/IRT.drawPV.R                                        |    1 
 R/IRT.expectedCounts.tam.R                            |    1 
 R/IRT.factor.scores.tam.R                             |    1 
 R/IRT.frequencies.tam.R                               |    1 
 R/IRT.informationCurve.R                              |    1 
 R/IRT.irfprob.tam.R                                   |    1 
 R/IRT.itemfit.R                                       |    1 
 R/IRT.likelihood.TAM.R                                |    1 
 R/IRT.linearCFA.R                                     |    1 
 R/IRT.modelfit.tam.R                                  |    1 
 R/IRT.residuals.R                                     |    1 
 R/IRT.simulate.R                                      |    1 
 R/IRT.threshold.R                                     |    1 
 R/IRT.truescore.R                                     |    1 
 R/IRTLikelihood.cfa.R                                 |    1 
 R/IRTLikelihood.ctt.R                                 |    1 
 R/RcppExports.R                                       |   75 -
 R/Scale.R                                             |    1 
 R/TAM_lavaanify.R                                     |    1 
 R/WLErel.R                                            |    1 
 R/WLErel_exclude_missings.R                           |    1 
 R/add.colnames.resp.R                                 |    1 
 R/add.lead.R                                          |    1 
 R/anova.tam.R                                         |    1 
 R/cfa.extract.itempars.R                              |    1 
 R/change.grep.lavpartable.R                           |    1 
 R/designMatrices.R                                    |    1 
 R/designMatrices.mfr.R                                |    1 
 R/designMatrices.mfr2.R                               |    1 
 R/designMatrices.mfr_aux.R                            |    1 
 R/designMatrices.mfr_aux2.R                           |    1 
 R/designMatrices_aux.R                                |    1 
 R/designMatrices_aux2.R                               |    1 
 R/doparse.R                                           |    1 
 R/extend.label.group.R                                |    1 
 R/lavaanify.IRT.R                                     |    1 
 R/lavaanify.grep.MEASERR.R                            |    1 
 R/lavaanify.grep.nonlinear.R                          |    1 
 R/lavpartable.grep.underbrace.R                       |    1 
 R/lavpartable2lavsyntax.R                             |    1 
 R/logLik.tam.jml.R                                    |    1 
 R/logLik_tam.R                                        |    1 
 R/msq.itemfit.R                                       |    1 
 R/msq.itemfitWLE.R                                    |    1 
 R/plot.IRT.informationCurves.R                        |    1 
 R/plot.ctt.R                                          |    1 
 R/plot.tam.R                                          |    1 
 R/plot.tam.pv.mcmc.R                                  |    1 
 R/plotDevianceTAM.R                                   |    1 
 R/predict.tam.R                                       |    1 
 R/print.tam.R                                         |    1 
 R/print.tam.linking.R                                 |    1 
 R/print.tam.wle.R                                     |    1 
 R/print.tam_linking_2studies.R                        |    1 
 R/prior_list_include.R                                |    1 
 R/remove.duplicated.variances.lavsyn.R                |    1 
 R/require_namespace_msg.R                             |    1 
 R/split.syn.string.R                                  |    1 
 R/summary.msq.itemfit.R                               |    5 
 R/summary.msq.itemfitWLE.R                            |    5 
 R/summary.tam.Q3.R                                    |    1 
 R/summary.tam.R                                       |    5 
 R/summary.tam.fit.R                                   |    1 
 R/summary.tam.jml.R                                   |    1 
 R/summary.tam.linking.R                               |    5 
 R/summary.tam.mml.3pl.R                               |    5 
 R/summary.tam.modelfit.R                              |    1 
 R/summary.tam.pv.mcmc.R                               |    5 
 R/summary.tam.wle.R                                   |    1 
 R/summary.tam_linking_2studies.R                      |    5 
 R/summary.tamaan.R                                    |    1 
 R/summary_tamaan_3pl_discrete_distribution.R          |    1 
 R/summary_tamaan_3pl_distr_mixture.R                  |    1 
 R/summary_tamaan_3pl_intro.R                          |    5 
 R/summary_tamaan_3pl_lcaprobs.R                       |    1 
 R/summary_tamaan_3pl_loclca.R                         |    1 
 R/summary_tamaan_item_parameters.R                    |    1 
 R/summary_tamaan_item_parameters_mixture.R            |    1 
 R/summary_tamaan_normal_skillspace.R                  |    1 
 R/tam.Q3.R                                            |    1 
 R/tam.R                                               |    1 
 R/tam.ctt.R                                           |    1 
 R/tam.ctt2.R                                          |    1 
 R/tam.ctt3.R                                          |    1 
 R/tam.fa.R                                            |    1 
 R/tam.fit.R                                           |    1 
 R/tam.jml.R                                           |    1 
 R/tam.jml.fit.R                                       |    1 
 R/tam.jml2.R                                          |    1 
 R/tam.latreg.R                                        |    1 
 R/tam.linking.R                                       |    1 
 R/tam.mml.2pl.R                                       |    1 
 R/tam.mml.3pl.R                                       |   45 
 R/tam.mml.R                                           |    7 
 R/tam.mml.mfr.R                                       |    1 
 R/tam.mml.wle.R                                       |    1 
 R/tam.mml.wle2.R                                      |    1 
 R/tam.modelfit.IRT.R                                  |    1 
 R/tam.modelfit.R                                      |    1 
 R/tam.modelfit.args.R                                 |    1 
 R/tam.parameterfix.defaults.R                         |    1 
 R/tam.pv.R                                            |    1 
 R/tam.pv.mcmc.R                                       |    1 
 R/tam.q3.aux.R                                        |    1 
 R/tam.se.R                                            |    1 
 R/tam.wle.R                                           |    1 
 R/tam_01_pattern.R                                    |    1 
 R/tam_AXsi_compute.R                                  |    1 
 R/tam_AXsi_fit.R                                      |    1 
 R/tam_NA_pattern.R                                    |    1 
 R/tam_Rhat_3splits.R                                  |    1 
 R/tam_accelerate_parameters.R                         |    1 
 R/tam_acceleration_inits.R                            |    1 
 R/tam_acceleration_inits_create_list.R                |    1 
 R/tam_acf_matrix.R                                    |    1 
 R/tam_aggregate.R                                     |    1 
 R/tam_anticomb2.R                                     |    1 
 R/tam_args_CALL_search.R                              |    1 
 R/tam_args_replace_value.R                            |    1 
 R/tam_assign_list_elements.R                          |    1 
 R/tam_bayesian_bootstrap.R                            |    1 
 R/tam_calc_counts.R                                   |    1 
 R/tam_calc_exp.R                                      |    1 
 R/tam_calc_posterior.R                                |    1 
 R/tam_calc_prob_helper_subtract_max.R                 |    1 
 R/tam_cor_wt.R                                        |    1 
 R/tam_cov_wt.R                                        |    1 
 R/tam_csink.R                                         |    1 
 R/tam_deviance_history_init.R                         |    1 
 R/tam_difference_quotient.R                           |    1 
 R/tam_dmvnorm.R                                       |    1 
 R/tam_dtnorm.R                                        |    1 
 R/tam_evaluate_prior.R                                |    1 
 R/tam_fa_reliability_nonlinearSEM.R                   |    1 
 R/tam_ginv.R                                          |    1 
 R/tam_in_names_list.R                                 |    1 
 R/tam_interval_index.R                                |    1 
 R/tam_irf_3pl.R                                       |    1 
 R/tam_itempartable.R                                  |    1 
 R/tam_jml_version1.R                                  |    1 
 R/tam_jml_version1_calc_xsi.R                         |    1 
 R/tam_jml_version2.R                                  |    1 
 R/tam_jml_version2_calc_xsi.R                         |    1 
 R/tam_jml_wle.R                                       |    1 
 R/tam_latreg_ic.R                                     |    1 
 R/tam_linking_2studies.R                              |    1 
 R/tam_linking_2studies_create_M_SD.R                  |    1 
 R/tam_linking_2studies_create_M_SD_rownames.R         |    1 
 R/tam_linking_extract_list.R                          |    1 
 R/tam_linking_extract_parameters.R                    |    1 
 R/tam_linking_extract_parameters_trait_distribution.R |    1 
 R/tam_linking_include_list.R                          |    1 
 R/tam_linking_output_summary.R                        |    1 
 R/tam_linking_parameters_select_common_items.R        |    1 
 R/tam_linking_transform_item_parameters.R             |    1 
 R/tam_matrix2.R                                       |    1 
 R/tam_mml_2pl_mstep_slope.R                           |    1 
 R/tam_mml_2pl_sufficient_statistics_item_slope.R      |    1 
 R/tam_mml_3pl_calc_exp.R                              |    1 
 R/tam_mml_3pl_calc_ll.R                               |    1 
 R/tam_mml_3pl_calc_ll_est_guessing.R                  |    1 
 R/tam_mml_3pl_calc_prob.R                             |    1 
 R/tam_mml_3pl_calc_total_ll.R                         |    1 
 R/tam_mml_3pl_computeB.R                              |    1 
 R/tam_mml_3pl_compute_Fdes.R                          |    1 
 R/tam_mml_3pl_create_E.R                              |    1 
 R/tam_mml_3pl_create_notA.R                           |    1 
 R/tam_mml_3pl_deviance.R                              |    1 
 R/tam_mml_3pl_distributionmoments.R                   |    1 
 R/tam_mml_3pl_expected_counts.R                       |    1 
 R/tam_mml_3pl_ic.R                                    |    1 
 R/tam_mml_3pl_inits_group.R                           |    1 
 R/tam_mml_3pl_itempartable.R                          |    1 
 R/tam_mml_3pl_mstep_item_guessing.R                   |    1 
 R/tam_mml_3pl_mstep_item_intercepts.R                 |    1 
 R/tam_mml_3pl_mstep_item_slopes.R                     |    1 
 R/tam_mml_3pl_mstep_item_slopes_gammaslope_center.R   |    1 
 R/tam_mml_3pl_mstep_regression.R                      |    1 
 R/tam_mml_3pl_skillspace.R                            |    1 
 R/tam_mml_3pl_stud_prior_discrete.R                   |    1 
 R/tam_mml_3pl_variance_fixed.R                        |    1 
 R/tam_mml_3pl_vec_add_increment.R                     |    1 
 R/tam_mml_calc_prob.R                                 |    1 
 R/tam_mml_compute_AXsi.R                              |    1 
 R/tam_mml_compute_deviance.R                          |    1 
 R/tam_mml_control_list_define.R                       |    6 
 R/tam_mml_create_nodes.R                              |   21 
 R/tam_mml_create_nodes_multidim_nodes.R               |    1 
 R/tam_mml_ic.R                                        |    1 
 R/tam_mml_ic_criteria.R                               |    1 
 R/tam_mml_inits_beta.R                                |    1 
 R/tam_mml_inits_groups.R                              |    1 
 R/tam_mml_inits_variance.R                            |    1 
 R/tam_mml_inits_xsi.R                                 |    1 
 R/tam_mml_mfr_collect_xsi_parameters.R                |    1 
 R/tam_mml_mfr_dataprep.R                              |    1 
 R/tam_mml_mfr_inits_beta.R                            |    1 
 R/tam_mml_mfr_inits_xsi.R                             |    1 
 R/tam_mml_mfr_proc_compute_maxKi.R                    |    1 
 R/tam_mml_mfr_proc_create_design_matrices.R           |    1 
 R/tam_mml_mfr_proc_delete_missing_items.R             |    1 
 R/tam_mml_mfr_proc_multiple_person_ids.R              |    1 
 R/tam_mml_mfr_proc_response_indicators.R              |    1 
 R/tam_mml_mfr_proc_xsi_setnull.R                      |    1 
 R/tam_mml_mstep_intercept.R                           |    1 
 R/tam_mml_mstep_intercept_optim.R                     |    1 
 R/tam_mml_mstep_intercept_quasi_newton_R.R            |    1 
 R/tam_mml_mstep_regression.R                          |    7 
 R/tam_mml_mstep_xsi.R                                 |    1 
 R/tam_mml_person_EAP.R                                |    1 
 R/tam_mml_person_EAP_rel.R                            |    1 
 R/tam_mml_person_SD_EAP.R                             |    1 
 R/tam_mml_person_maxscore.R                           |    1 
 R/tam_mml_person_posterior.R                          |    1 
 R/tam_mml_proc_est_xsi_index.R                        |    1 
 R/tam_mml_proc_prior_list_xsi.R                       |    1 
 R/tam_mml_proc_response_indicators.R                  |    1 
 R/tam_mml_proc_unidim_simplify.R                      |    1 
 R/tam_mml_proc_xsi_parameter_index_A.R                |    1 
 R/tam_mml_progress_em.R                               |    1 
 R/tam_mml_progress_em0.R                              |    1 
 R/tam_mml_progress_proc_nodes.R                       |    1 
 R/tam_mml_se_AXsi.R                                   |    1 
 R/tam_mml_sufficient_statistics.R                     |    1 
 R/tam_mml_update_stochastic_nodes.R                   |   11 
 R/tam_mml_warning_message_multiple_group_models.R     |    1 
 R/tam_mml_wle_check_identifiability.R                 |    1 
 R/tam_mml_wle_postproc.R                              |    1 
 R/tam_mml_wle_proc_input_data.R                       |    1 
 R/tam_mml_wle_theta_inits.R                           |    1 
 R/tam_mml_wle_update_theta.R                          |    1 
 R/tam_normalize_matrix_rows.R                         |    1 
 R/tam_normalize_vector.R                              |    1 
 R/tam_osink.R                                         |    1 
 R/tam_outer.R                                         |    1 
 R/tam_packageinfo.R                                   |    1 
 R/tam_parameter_change.R                              |    1 
 R/tam_print_call.R                                    |    1 
 R/tam_print_computation_time.R                        |    1 
 R/tam_print_package_rsession.R                        |    1 
 R/tam_prior_eval_log_density_one_parameter.R          |    1 
 R/tam_pv_draw_pv_nonparametric.R                      |    1 
 R/tam_pv_draw_pv_normal_approximation_1dim.R          |    1 
 R/tam_pv_draw_pv_normal_approximation_multidim.R      |    1 
 R/tam_pv_mcmc_calc_probs.R                            |    1 
 R/tam_pv_mcmc_calc_probs_irf_3pl.R                    |    1 
 R/tam_pv_mcmc_compute_marginal_likelihood.R           |    1 
 R/tam_pv_mcmc_evaluate_likelihood.R                   |    1 
 R/tam_pv_mcmc_inits_MH_sampling_objects.R             |    1 
 R/tam_pv_mcmc_inits_plausible_values_objects.R        |    1 
 R/tam_pv_mcmc_inits_sampled_parameters_objects.R      |    1 
 R/tam_pv_mcmc_inits_theta.R                           |    1 
 R/tam_pv_mcmc_likelihood.R                            |    1 
 R/tam_pv_mcmc_likelihood_R.R                          |    1 
 R/tam_pv_mcmc_parameter_samples.R                     |    1 
 R/tam_pv_mcmc_parameter_samples_correlation.R         |    1 
 R/tam_pv_mcmc_parameter_samples_correlation_index.R   |    1 
 R/tam_pv_mcmc_parameter_summary.R                     |    1 
 R/tam_pv_mcmc_person_inits_from_resp.R                |    1 
 R/tam_pv_mcmc_postproc_ic.R                           |    1 
 R/tam_pv_mcmc_postproc_theta_acceptance_MH.R          |    1 
 R/tam_pv_mcmc_postproc_theta_posterior.R              |    1 
 R/tam_pv_mcmc_prior_density.R                         |    1 
 R/tam_pv_mcmc_proc_input.R                            |    1 
 R/tam_pv_mcmc_proc_regressors.R                       |    1 
 R/tam_pv_mcmc_proposal_theta.R                        |    1 
 R/tam_pv_mcmc_pv_acf.R                                |    1 
 R/tam_pv_mcmc_refresh_theta.R                         |    1 
 R/tam_pv_mcmc_sample_beta_variance.R                  |    1 
 R/tam_pv_mcmc_sample_beta_variance_lm_beta.R          |    1 
 R/tam_pv_mcmc_save_parameters.R                       |    1 
 R/tam_pv_mcmc_theta_MH_ratio_accept.R                 |    1 
 R/tam_pv_mcmc_update_plausible_values.R               |    1 
 R/tam_pv_recommend_tam_pv_mcmc.R                      |    1 
 R/tam_pv_sampling_beta.R                              |    1 
 R/tam_pv_sampling_theta.R                             |    1 
 R/tam_pv_summary_covariance.R                         |    1 
 R/tam_rbind_twomatrices.R                             |    1 
 R/tam_remove_missings.R                               |    1 
 R/tam_round_data_frame.R                              |    1 
 R/tam_round_data_frame_print.R                        |    1 
 R/tam_rowCumsums.R                                    |    1 
 R/tam_rowMaxs.R                                       |    1 
 R/tam_rowcumsums1.R                                   |    1 
 R/tam_rsessinfo.R                                     |    1 
 R/tam_solve_ridge.R                                   |    1 
 R/tam_stud_prior.R                                    |    1 
 R/tam_stud_prior_multiple_groups.R                    |    1 
 R/tam_summary_print_ic.R                              |    1 
 R/tam_summary_print_ic_description.R                  |    1 
 R/tam_summary_print_ic_one_ic.R                       |    1 
 R/tam_theta_sq.R                                      |    1 
 R/tam_theta_sq1.R                                     |    1 
 R/tam_thurstonian_threshold.R                         |    1 
 R/tam_trim_increment.R                                |    1 
 R/tam_vec2symmmatrix.R                                |    1 
 R/tam_weighted_stats_select.R                         |    1 
 R/tam_wle_print_WLErel.R                              |    1 
 R/tam_wle_print_general.R                             |    1 
 R/tamaan.3pl.lca.R                                    |    1 
 R/tamaan.3pl.loclca.R                                 |    1 
 R/tamaan.3pl.mixture.R                                |  215 ++--
 R/tamaan.3pl.olca.R                                   |    1 
 R/tamaan.3pl.trait.R                                  |    1 
 R/tamaan.R                                            |   40 
 R/tamaan_3pl_mixture_individual_class_probabilities.R |only
 R/tamaanify.R                                         |    1 
 R/tamaanify.create.A.R                                |    1 
 R/tamaanify.create.Q.R                                |    1 
 R/tamaanify.define.method.R                           |    1 
 R/tamaanify.grep.linequations.R                       |    1 
 R/tamaanify.modelconstraint.loadings.R                |    1 
 R/tamaanify.modelprior.R                              |    1 
 R/tamaanify.proc.analysis.R                           |    1 
 R/tamaanify.proc.items.R                              |    1 
 R/tamaanify.proc.itemtype.R                           |    1 
 R/tamaanify.proc.lavaanmodel.R                        |    1 
 R/tamaanify.proc.loadings.B.fixed.R                   |    1 
 R/tamaanify.proc.modelconstraint.R                    |    1 
 R/tamaanify.tam.mml.3pl.deltadesign.R                 |    1 
 R/tamaanify.tam.mml.3pl.designMatrices.LCA.R          |    1 
 R/tamaanify.tam.mml.3pl.designMatrices.LOCLCA.R       |    1 
 R/tamaanify.tam.mml.3pl.designMatrices.MIXTURE.R      |    1 
 R/tamaanify.tam.mml.3pl.designMatrices.OLCA.R         |    1 
 R/tamaanify.tam.mml.3pl.designMatrices.TRAIT.R        |    1 
 R/tamaanify.tam.mml.3pldesignMatrices.R               |    1 
 R/tamaanify.variance.fixed.R                          |    1 
 R/tamaanify_tam_mml_3pl_create_delta_design.R         |    1 
 R/tamcat.R                                            |    1 
 R/tampv2datalist.R                                    |    1 
 R/weighted_curtosis.R                                 |    1 
 R/weighted_mean.R                                     |    1 
 R/weighted_quantile.R                                 |    1 
 R/weighted_quantile_type_selection.R                  |    1 
 R/weighted_sd.R                                       |    1 
 R/weighted_skewness.R                                 |    1 
 R/weighted_table.R                                    |    1 
 R/weighted_var.R                                      |    1 
 R/zzz.R                                               |    1 
 README.md                                             |    6 
 data/data.cqc01.rda                                   |binary
 data/data.cqc02.rda                                   |binary
 data/data.cqc03.rda                                   |binary
 data/data.cqc04.rda                                   |binary
 data/data.cqc05.rda                                   |binary
 data/data.ctest1.rda                                  |binary
 data/data.ctest2.rda                                  |binary
 data/data.ex08.rda                                    |binary
 data/data.ex10.rda                                    |binary
 data/data.ex11.rda                                    |binary
 data/data.ex12.rda                                    |binary
 data/data.ex14.rda                                    |binary
 data/data.ex15.rda                                    |binary
 data/data.ex16.rda                                    |binary
 data/data.ex17.rda                                    |binary
 data/data.exJ03.rda                                   |binary
 data/data.fims.Aus.Jpn.raw.rda                        |binary
 data/data.fims.Aus.Jpn.scored.rda                     |binary
 data/data.geiser.rda                                  |binary
 data/data.gpcm.rda                                    |binary
 data/data.janssen.rda                                 |binary
 data/data.janssen2.rda                                |binary
 data/data.mc.rda                                      |binary
 data/data.numeracy.rda                                |binary
 data/data.sim.facets.rda                              |binary
 data/data.sim.mfr.rda                                 |binary
 data/data.sim.rasch.missing.rda                       |binary
 data/data.sim.rasch.pweights.rda                      |binary
 data/data.sim.rasch.rda                               |binary
 data/data.timssAusTwn.rda                             |binary
 data/data.timssAusTwn.scored.rda                      |binary
 inst/NEWS                                             |   35 
 man/DescribeBy.Rd                                     |    1 
 man/IRT.WrightMap.Rd                                  |    1 
 man/IRT.data.tam.Rd                                   |    1 
 man/IRT.drawPV.Rd                                     |    1 
 man/IRT.expectedCounts.tam.Rd                         |    1 
 man/IRT.factor.scores.tam.Rd                          |    1 
 man/IRT.frequencies.tam.Rd                            |    1 
 man/IRT.informationCurves.Rd                          |    1 
 man/IRT.irfprob.tam.Rd                                |    1 
 man/IRT.itemfit.Rd                                    |    1 
 man/IRT.likelihood.tam.Rd                             |    1 
 man/IRT.linearCFA.Rd                                  |    1 
 man/IRT.residuals.Rd                                  |    1 
 man/IRT.simulate.Rd                                   |    1 
 man/IRT.threshold.Rd                                  |    1 
 man/IRT.truescore.Rd                                  |    1 
 man/IRTLikelihood.cfa.Rd                              |    1 
 man/IRTLikelihood.ctt.Rd                              |    1 
 man/Scale.Rd                                          |    1 
 man/TAM-defunct.Rd                                    |    1 
 man/TAM-package.Rd                                    |    1 
 man/TAM-utilities.Rd                                  |    1 
 man/WLErel.Rd                                         |    1 
 man/anova.tam.Rd                                      |    1 
 man/cfa.extract.itempars.Rd                           |    1 
 man/data.cqc.Rd                                       |    1 
 man/data.ctest.Rd                                     |    1 
 man/data.examples.Rd                                  |    1 
 man/data.fims.Aus.Jpn.Rd                              |    1 
 man/data.geiser.Rd                                    |    1 
 man/data.gpcm.Rd                                      |    1 
 man/data.janssen.Rd                                   |    1 
 man/data.mc.Rd                                        |    1 
 man/data.numeracy.Rd                                  |    1 
 man/data.sim.mfr.Rd                                   |    1 
 man/data.sim.rasch.Rd                                 |    1 
 man/data.timssAusTwn.Rd                               |    1 
 man/designMatrices.Rd                                 |    1 
 man/doparse.Rd                                        |    1 
 man/lavaanify.IRT.Rd                                  |    1 
 man/msq.itemfit.Rd                                    |    1 
 man/plot.tam.Rd                                       |    1 
 man/plotDevianceTAM.Rd                                |    1 
 man/predict.Rd                                        |    1 
 man/tam.ctt.Rd                                        |    1 
 man/tam.fa.Rd                                         |    1 
 man/tam.fit.Rd                                        |    1 
 man/tam.jml.Rd                                        |    1 
 man/tam.latreg.Rd                                     |    1 
 man/tam.linking.Rd                                    |    1 
 man/tam.mml.3pl.Rd                                    |    1 
 man/tam.mml.Rd                                        |   27 
 man/tam.modelfit.Rd                                   |    1 
 man/tam.pv.Rd                                         |    1 
 man/tam.se.Rd                                         |    1 
 man/tam.threshold.Rd                                  |    1 
 man/tam.wle.Rd                                        |    1 
 man/tam_NA_pattern.Rd                                 |    1 
 man/tam_irf_3pl.Rd                                    |    1 
 man/tamaan.Rd                                         |    7 
 man/tamaanify.Rd                                      |    1 
 man/tampv2datalist.Rd                                 |    1 
 man/weighted_Stats.Rd                                 |    1 
 src/RcppExports.cpp                                   |   75 -
 src/init.c                                            |  149 +-
 src/irt_likelihood_cfa2.cpp                           |   88 -
 src/msq_itemfit.cpp                                   |   14 
 src/prior_normal_density_c.cpp                        |  145 +-
 src/rowcumsums_source.cpp                             |    1 
 src/tam_calcexp.cpp                                   |    1 
 src/tam_caux.c                                        |    1 
 src/tam_ctt_c.cpp                                     |    1 
 src/tam_fit_simul.cpp                                 |    1 
 src/tam_helper_ccode.cpp                              |    1 
 src/tam_mml_3pl_helper_functions.cpp                  |    1 
 src/tam_mml_mfr_helper.cpp                            |  165 +--
 src/tam_modelfit_aux.cpp                              |    1 
 src/tam_pv_mcmc.cpp                                   |   31 
 src/tam_pv_mcmc_calc_probs_irf_3pl_rcpp.cpp           |  117 +-
 src/tam_pv_multivariate_normal_approximation.cpp      |   93 -
 src/tamwle_helper_ccode.cpp                           |    1 
 459 files changed, 1170 insertions(+), 1575 deletions(-)

More information about TAM at CRAN
Permanent link

Package rrecsys updated to version 0.9.7.2 with previous version 0.9.7.1 dated 2017-08-18

Title: Environment for Evaluating Recommender Systems
Description: Processes standard recommendation datasets (e.g., a user-item rating matrix) as input and generates rating predictions and lists of recommended items. Standard algorithm implementations which are included in this package are the following: Global/Item/User-Average baselines, Weighted Slope One, Item-Based KNN, User-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology (Shani, et al. (2011) <doi:10.1007/978-0-387-85820-3_8>) for recommender systems using measures such as MAE, RMSE, Precision, Recall, F1, AUC, NDCG, RankScore and coverage measures. The package (Coba, et al.(2017) <doi: 10.1007/978-3-319-60042-0_36>) is intended for rapid prototyping of recommendation algorithms and education purposes.
Author: Ludovik Çoba [aut, cre, cph], Markus Zanker [ctb], Panagiotis Symeonidis [ctb]
Maintainer: Ludovik Çoba <Ludovik.Coba@inf.unibz.it>

Diff between rrecsys versions 0.9.7.1 dated 2017-08-18 and 0.9.7.2 dated 2017-11-16

 DESCRIPTION                        |    8 -
 MD5                                |   34 ++---
 R/AAA_registry.R                   |  134 ++++++++++-----------
 R/ALG_BPR.R                        |   16 +-
 R/ALG_slopeOne.R                   |  198 ++++++++++++++++----------------
 R/ALG_wALS.R                       |  198 ++++++++++++++++----------------
 R/ZZZ.R                            |    4 
 R/convergence.R                    |  228 ++++++++++++++++++-------------------
 R/evalRec.R                        |   13 --
 R/rrecsys.R                        |   22 +--
 build/vignette.rds                 |binary
 inst/doc/c1_dispacherregistry.html |   16 +-
 src/FSVDupdater.cpp                |    8 -
 src/FSVDupdaterSparseMat.cpp       |    8 -
 src/ItemSimilSparse.cpp            |    9 -
 src/UserSimilSparseMat.cpp         |    6 
 src/predictIB.cpp                  |    1 
 src/predictUBSparse.cpp            |   10 -
 18 files changed, 451 insertions(+), 462 deletions(-)

More information about rrecsys at CRAN
Permanent link

Package Myrrixjars updated to version 1.0-2 with previous version 1.0-1 dated 2013-07-26

Title: R/Myrrix Interface Jars
Description: External jars required for package 'Myrrix'. 'Myrrix' is a recommendation engine.
Author: Jan Wijffels [aut, cre]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between Myrrixjars versions 1.0-1 dated 2013-07-26 and 1.0-2 dated 2017-11-16

 DESCRIPTION |   15 +++++++--------
 MD5         |    5 +++--
 NEWS        |   11 +++++++----
 java        |only
 4 files changed, 17 insertions(+), 14 deletions(-)

More information about Myrrixjars at CRAN
Permanent link

Package hashmap updated to version 0.2.2 with previous version 0.2.1 dated 2017-11-15

Title: The Faster Hash Map
Description: Provides a hash table class for fast key-value storage of atomic vector types.
Author: Nathan Russell [aut, cre]
Maintainer: Nathan Russell <russell.nr2012@gmail.com>

Diff between hashmap versions 0.2.1 dated 2017-11-15 and 0.2.2 dated 2017-11-16

 DESCRIPTION                               |    8 +++----
 MD5                                       |    4 +--
 inst/include/hashmap/sparsepp/spp_utils.h |   34 ++++++++++++++++--------------
 3 files changed, 25 insertions(+), 21 deletions(-)

More information about hashmap at CRAN
Permanent link

New package fArma with initial version 3042.81
Package: fArma
Title: Rmetrics - Modelling ARMA Time Series Processes
Date: 2017-11-12
Version: 3042.81
Author: Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@live.com>
Description: Modelling ARMA Time Series Processes.
Depends: R (>= 2.15.1), timeDate, timeSeries, fBasics
Imports: methods, grDevices, graphics, stats, utils
Suggests: RUnit, tcltk
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
NeedsCompilation: yes
Packaged: 2017-11-15 18:54:34 UTC; Tobias Setz
X-CRAN-Comment: Archived on 2017-09-11 as check problems were not corrected despite reminders.
Repository: CRAN
Date/Publication: 2017-11-16 15:16:42 UTC

More information about fArma at CRAN
Permanent link

New package qle with initial version 0.16-5
Package: qle
Title: Simulation-Based Quasi-Likelihood Estimation
Version: 0.16-5
Date: 2017-11-26
Authors@R: c(person("Markus", "Baaske", role = c("aut", "cre", "cph"), email = "markus.baaske@uni-jena.de"), person("K. Gerald", "van den Boogaart", role = c("ths"), email = "boogaart@math.tu-freiberg.de"))
Author: Markus Baaske [aut, cre, cph], K. Gerald van den Boogaart [ths]
Maintainer: Markus Baaske <markus.baaske@uni-jena.de>
Description: A simulation-based quasi-likelihood method (Baaske, M. (2014) <doi:10.5566/ias.v33.p107-119>) for parameter estimation of parametric statistical models for which closed-form representations of distributional characteristics are unavailable and can only be obtained by computationally intensive simulations of the model.
Depends: R (>= 3.3.3), parallel
Imports: nloptr, digest, expm, lhs, mvtnorm
Suggests: rlecuyer, spatstat
License: GPL (>= 3)
Repository/R-Forge/Project: qle
RoxygenNote: 6.0.1
ByteCompile: true
NeedsCompilation: yes
Packaged: 2017-11-16 12:11:38 UTC; root
Repository: CRAN
Date/Publication: 2017-11-16 13:16:20 UTC

More information about qle at CRAN
Permanent link

Package Myrrix updated to version 1.2 with previous version 1.1 dated 2013-12-12

Title: Interface to Myrrix. Myrrix is a Complete, Real-Time, Scalable Clustering and Recommender System, Evolved from Apache Mahout
Description: Recommendation engine based on 'Myrrix'. 'Myrrix' is a complete, real-time, scalable clustering and recommender system, evolved from 'Apache Mahout'. It uses Alternating Least Squares to build a recommendation engine.
Author: Jan Wijffels [aut, cre]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between Myrrix versions 1.1 dated 2013-12-12 and 1.2 dated 2017-11-16

 DESCRIPTION                  |   18 +++++-----
 MD5                          |   13 ++++---
 NEWS                         |   18 ++++++----
 R/HyperParameters.R          |   73 +++++++++++++++++++++----------------------
 build/vignette.rds           |binary
 inst/dev                     |only
 inst/doc/packageShowCase.R   |   20 +++++------
 inst/doc/packageShowCase.pdf |binary
 8 files changed, 74 insertions(+), 68 deletions(-)

More information about Myrrix at CRAN
Permanent link

Package MXM updated to version 1.3.0 with previous version 1.2.5 dated 2017-11-15

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. Reference: Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

Diff between MXM versions 1.2.5 dated 2017-11-15 and 1.3.0 dated 2017-11-16

 DESCRIPTION                |   16 ++++----
 MD5                        |   84 ++++++++++++++++++++++-----------------------
 R/beta.mod.R               |    4 +-
 R/ebic.fbed.clogit.R       |   42 +++++++++++++++-------
 R/permClogit.R             |    2 -
 R/zip.mod.R                |    2 -
 build/vignette.rds         |binary
 inst/doc/article.ltx       |    2 -
 inst/doc/article.pdf       |binary
 inst/doc/guide.ltx         |    2 -
 inst/doc/guide.pdf         |binary
 man/MXM-package.Rd         |    7 +--
 man/SES.Rd                 |    7 +--
 man/SES.temporal.Rd        |   14 ++++---
 man/auc.Rd                 |    2 -
 man/beta.mod.Rd            |   12 +++---
 man/bic.fsreg.Rd           |   11 +----
 man/bic.glm.fsreg.Rd       |    5 --
 man/bn.skel.utils.Rd       |    4 --
 man/bs.reg.Rd              |    4 --
 man/censIndCR.Rd           |   18 +++------
 man/ci.mm.Rd               |    5 --
 man/condis.Rd              |    2 -
 man/ebic.glmm.bsreg.Rd     |   14 ++++---
 man/fbed.glmm.reg.Rd       |   14 ++++---
 man/fs.reg.Rd              |    4 --
 man/gSquare.Rd             |    2 -
 man/glmm.bsreg.Rd          |   14 ++++---
 man/iamb.Rd                |    7 ---
 man/mmmb.Rd                |    2 -
 man/mmpc.or.Rd             |    2 -
 man/mmpc.temporal.model.Rd |   18 +++++----
 man/tc.plot.Rd             |   10 ++---
 man/testIndBeta.Rd         |    2 -
 man/testIndClogit.Rd       |    2 -
 man/testIndFisher.Rd       |    3 -
 man/testIndGLMM.Rd         |    9 ++--
 man/testIndLogistic.Rd     |    2 -
 man/testIndPois.Rd         |    4 --
 man/testIndReg.Rd          |    3 -
 man/zip.mod.Rd             |    6 +--
 vignettes/article.ltx      |    2 -
 vignettes/guide.ltx        |    2 -
 43 files changed, 165 insertions(+), 202 deletions(-)

More information about MXM at CRAN
Permanent link

Package MSGARCH updated to version 2.0 with previous version 1.3 dated 2017-10-26

Title: Markov-Switching GARCH Models
Description: Fit (by Maximum Likelihood or MCMC/Bayesian), simulate, and forecast various Markov-Switching GARCH models as described in Ardia et al. (2017) <https://ssrn.com/abstract=2845809>.
Author: David Ardia [aut], Keven Bluteau [aut, cre], Kris Boudt [ctb], Leopoldo Catania [aut], Brian Peterson [ctb], Denis-Alexandre Trottier [aut]
Maintainer: Keven Bluteau <Keven.Bluteau@unine.ch>

Diff between MSGARCH versions 1.3 dated 2017-10-26 and 2.0 dated 2017-11-16

 MSGARCH-1.3/MSGARCH/R/AIC.R                          |only
 MSGARCH-1.3/MSGARCH/R/BIC.R                          |only
 MSGARCH-1.3/MSGARCH/R/Forecast.R                     |only
 MSGARCH-1.3/MSGARCH/R/Pred.R                         |only
 MSGARCH-1.3/MSGARCH/R/Sim.R                          |only
 MSGARCH-1.3/MSGARCH/man/AIC.Rd                       |only
 MSGARCH-1.3/MSGARCH/man/BIC.Rd                       |only
 MSGARCH-1.3/MSGARCH/man/Forecast.Rd                  |only
 MSGARCH-1.3/MSGARCH/man/Pred.Rd                      |only
 MSGARCH-1.3/MSGARCH/man/Sim.Rd                       |only
 MSGARCH-2.0/MSGARCH/DESCRIPTION                      |    8 
 MSGARCH-2.0/MSGARCH/MD5                              |   94 ++++----
 MSGARCH-2.0/MSGARCH/NAMESPACE                        |   34 +--
 MSGARCH-2.0/MSGARCH/NEWS                             |   23 +-
 MSGARCH-2.0/MSGARCH/R/CondVol.R                      |   53 +++-
 MSGARCH-2.0/MSGARCH/R/CreateSpec.R                   |    6 
 MSGARCH-2.0/MSGARCH/R/DIC.R                          |    6 
 MSGARCH-2.0/MSGARCH/R/FitMCMC.R                      |   53 ++--
 MSGARCH-2.0/MSGARCH/R/FitML.R                        |   18 -
 MSGARCH-2.0/MSGARCH/R/Kernel.R                       |    4 
 MSGARCH-2.0/MSGARCH/R/Likelihood.R                   |    7 
 MSGARCH-2.0/MSGARCH/R/Pit.R                          |  127 +++++++----
 MSGARCH-2.0/MSGARCH/R/Plot.R                         |   27 +-
 MSGARCH-2.0/MSGARCH/R/PredPDF.R                      |only
 MSGARCH-2.0/MSGARCH/R/Print.R                        |   55 +++-
 MSGARCH-2.0/MSGARCH/R/Risk.R                         |  152 +++++++++----
 MSGARCH-2.0/MSGARCH/R/Samplers.R                     |    2 
 MSGARCH-2.0/MSGARCH/R/State.R                        |   37 +--
 MSGARCH-2.0/MSGARCH/R/Transmat.R                     |   14 -
 MSGARCH-2.0/MSGARCH/R/UncVol.R                       |   36 +--
 MSGARCH-2.0/MSGARCH/R/Utils.R                        |   13 -
 MSGARCH-2.0/MSGARCH/R/Volatility.R                   |   28 +-
 MSGARCH-2.0/MSGARCH/R/predict.R                      |only
 MSGARCH-2.0/MSGARCH/R/simulate.R                     |only
 MSGARCH-2.0/MSGARCH/R/zzz.R                          |    4 
 MSGARCH-2.0/MSGARCH/man/CreateSpec.Rd                |    6 
 MSGARCH-2.0/MSGARCH/man/DIC.Rd                       |    2 
 MSGARCH-2.0/MSGARCH/man/FitMCMC.Rd                   |   41 ++-
 MSGARCH-2.0/MSGARCH/man/FitML.Rd                     |   10 
 MSGARCH-2.0/MSGARCH/man/PIT.Rd                       |   36 +--
 MSGARCH-2.0/MSGARCH/man/PredPdf.Rd                   |only
 MSGARCH-2.0/MSGARCH/man/Risk.Rd                      |   50 ++--
 MSGARCH-2.0/MSGARCH/man/State.Rd                     |   16 -
 MSGARCH-2.0/MSGARCH/man/TransMat.Rd                  |    8 
 MSGARCH-2.0/MSGARCH/man/UncVol.Rd                    |   22 -
 MSGARCH-2.0/MSGARCH/man/Volatility.Rd                |    8 
 MSGARCH-2.0/MSGARCH/man/predict.Rd                   |only
 MSGARCH-2.0/MSGARCH/man/simulate.Rd                  |only
 MSGARCH-2.0/MSGARCH/src/MSgarch.h                    |   10 
 MSGARCH-2.0/MSGARCH/src/SingleRegime.h               |   12 -
 MSGARCH-2.0/MSGARCH/tests/testthat/test_MCMC.R       |   56 ++---
 MSGARCH-2.0/MSGARCH/tests/testthat/test_MLE.R        |  212 +++++++++----------
 MSGARCH-2.0/MSGARCH/tests/testthat/test_PRED_PIT.R   |   56 ++---
 MSGARCH-2.0/MSGARCH/tests/testthat/test_Risk.R       |    6 
 MSGARCH-2.0/MSGARCH/tests/testthat/test_Simulation.R |   76 +++---
 MSGARCH-2.0/MSGARCH/tests/testthat/test_Volatility.R |   56 ++---
 56 files changed, 843 insertions(+), 641 deletions(-)

More information about MSGARCH at CRAN
Permanent link

New package CIEE with initial version 0.1.0
Package: CIEE
Type: Package
Title: Estimating and Testing Direct Effects in Directed Acyclic Graphs using Estimating Equations
Version: 0.1.0
Authors@R: c( person("Stefan", "Konigorski", email = "stefan.konigorski@gmail.com", role = c("aut", "cre")), person("Yildiz E.", "Yilmaz", email = "yyilmaz@mun.ca", role = "ctb"))
Description: In many studies across different disciplines, detailed measures of the variables of interest are available. If assumptions can be made regarding the direction of effects between the assessed variables, this has to be considered in the analysis. The functions in this package implement the novel approach CIEE (causal inference using estimating equations; Konigorski et al., 2017, Genetic Epidemiology, in press) for estimating and testing the direct effect of an exposure variable on a primary outcome, while adjusting for indirect effects of the exposure on the primary outcome through a secondary intermediate outcome and potential factors influencing the secondary outcome. The underlying directed acyclic graph (DAG) of this considered model is described in the vignette. CIEE can be applied to studies in many different fields, and it is implemented here for the analysis of a continuous primary outcome and a time-to-event primary outcome subject to censoring. CIEE uses estimating equations to obtain estimates of the direct effect and robust sandwich standard error estimates. Then, a large-sample Wald-type test statistic is computed for testing the absence of the direct effect. Additionally, standard multiple regression, regression of residuals, and the structural equation modeling approach are implemented for comparison.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: stats, survival
Suggests: lavaan, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-16 13:18:57 UTC; skonigor
Author: Stefan Konigorski [aut, cre], Yildiz E. Yilmaz [ctb]
Maintainer: Stefan Konigorski <stefan.konigorski@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-16 13:36:54 UTC

More information about CIEE at CRAN
Permanent link

Package ANN2 updated to version 1.3 with previous version 1.2 dated 2017-11-15

Title: Artificial Neural Networks for Anomaly Detection
Description: Training of general classification and regression neural networks using gradient descent. Special features include a function for training replicator neural networks and a function for training autoencoders. Multiple activation and cost functions (including Huber and pseudo-Huber) are supported, as well as L1 and L2 regularization, momentum, early stopping and the possibility to specify a learning rate schedule. The package contains a vectorized gradient descent implementation which facilitates faster training through batch learning.
Author: Bart Lammers
Maintainer: Bart Lammers <bart.f.lammers@gmail.com>

Diff between ANN2 versions 1.2 dated 2017-11-15 and 1.3 dated 2017-11-16

 DESCRIPTION            |    6 +-
 MD5                    |    8 +--
 R/callable.R           |   98 +++++++++++++++++++-----------------
 R/required-functions.R |  130 +++++++++++++++++++------------------------------
 src/rcpp-nn.cpp        |    4 -
 5 files changed, 113 insertions(+), 133 deletions(-)

More information about ANN2 at CRAN
Permanent link

New package ICSShiny with initial version 0.4
Package: ICSShiny
Type: Package
Title: ICS via a Shiny Application
Version: 0.4
Date: 2017-11-16
Author: Aurore Archimbaud, Joris May, Klaus Nordhausen, Anne Ruiz-Gazen
Maintainer: Klaus Nordhausen <klaus.nordhausen@tuwien.ac.at>
Description: Performs Invariant Coordinate Selection (ICS) (Tyler, Critchley, Duembgen and Oja (2009) <doi:10.1111/j.1467-9868.2009.00706.x>) and especially ICS outlier identification (Archimbaud, Nordhausen, Ruiz-Gazen (2016) <arXiv:1612.06118>) using a shiny app.
License: GPL (>= 2)
Depends: ICS, ICSOutlier, shiny
Imports: ICSNP, rrcov, simsalapar, DT
NeedsCompilation: no
Packaged: 2017-11-16 09:41:44 UTC; Klaus Nordhausen
Repository: CRAN
Date/Publication: 2017-11-16 12:28:18 UTC

More information about ICSShiny at CRAN
Permanent link

Package BoSSA updated to version 2.3 with previous version 2.2 dated 2017-11-14

Title: A Bunch of Structure and Sequence Analysis
Description: Reads and plots phylogenetic placements obtained using the 'pplacer' and 'guppy' softwares <https://matsen.github.io/pplacer/>.
Author: Pierre Lefeuvre
Maintainer: Pierre Lefeuvre <pierre.lefeuvre@cirad.fr>

Diff between BoSSA versions 2.2 dated 2017-11-14 and 2.3 dated 2017-11-16

 DESCRIPTION                  |    8 ++++----
 MD5                          |   20 ++++++++++----------
 R/plot.pplace.R              |    4 +++-
 R/print.jplace.R             |    1 +
 R/read_jplace.R              |    6 ++++--
 build/partial.rdb            |binary
 inst/doc/bossa-analysis.Rmd  |    2 +-
 inst/doc/bossa-analysis.html |   22 +++++++++++-----------
 inst/doc/bossa-refpkg.html   |   14 +++++++-------
 man/read_jplace.Rd           |    5 +++--
 vignettes/bossa-analysis.Rmd |    2 +-
 11 files changed, 45 insertions(+), 39 deletions(-)

More information about BoSSA at CRAN
Permanent link

Package taskscheduleR updated to version 1.1 with previous version 1.0 dated 2017-03-03

Title: Schedule R Scripts and Processes with the Windows Task Scheduler
Description: Schedule R scripts/processes with the Windows task scheduler. This allows R users to automate R processes on specific time points from R itself.
Author: c(person("Jan", "Wijffels", role = c("aut", "cre", "cph"), email = "jwijffels@bnosac.be"), person("BNOSAC", role = "cph"), person("Oliver", "Belmans", role = c("cph", "cre")))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between taskscheduleR versions 1.0 dated 2017-03-03 and 1.1 dated 2017-11-16

 DESCRIPTION                                |   12 +++++------
 MD5                                        |   30 ++++++++++++++---------------
 NAMESPACE                                  |    1 
 R/pkg.R                                    |    1 
 R/taskscheduleR.R                          |    5 +++-
 build/vignette.rds                         |binary
 inst/NEWS                                  |    4 +++
 inst/doc/taskscheduleR.html                |    8 +++----
 man/taskcheduler_runnow.Rd                 |    1 
 man/taskcheduler_stop.Rd                   |    1 
 man/taskscheduleR-package.Rd               |    3 --
 man/taskschedulerAddin.Rd                  |    1 
 man/taskscheduler_create.Rd                |    1 
 man/taskscheduler_delete.Rd                |    1 
 man/taskscheduler_ls.Rd                    |    1 
 tests/testthat/test-taskscheduler_create.R |    7 ++++++
 16 files changed, 43 insertions(+), 34 deletions(-)

More information about taskscheduleR at CRAN
Permanent link

Package googleLanguageR updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-22

Title: Call Google's 'Natural Language' API, 'Cloud Translation' API and 'Cloud Speech' API
Description: Call 'Google Cloud' machine learning APIs for text and speech tasks. Call the 'Cloud Translation' API <https://cloud.google.com/translate/> for detection and translation of text, the 'Natural Language' API <https://cloud.google.com/natural-language/> to analyse text for sentiment, entities or syntax or the 'Cloud Speech' API <https://cloud.google.com/speech/> to transcribe sound files to text.
Author: Mark Edmondson [aut, cre], Neal Richardson [rev] (Neal reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>), Julia Gustavsen [rev] (Julia reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>)
Maintainer: Mark Edmondson <r@sunholo.com>

Diff between googleLanguageR versions 0.1.0 dated 2017-09-22 and 0.1.1 dated 2017-11-16

 googleLanguageR-0.1.0/googleLanguageR/tests/testthat/mock                                                            |only
 googleLanguageR-0.1.1/googleLanguageR/DESCRIPTION                                                                    |    6 
 googleLanguageR-0.1.1/googleLanguageR/MD5                                                                            |   53 +++---
 googleLanguageR-0.1.1/googleLanguageR/NEWS.md                                                                        |    7 
 googleLanguageR-0.1.1/googleLanguageR/R/natural-language.R                                                           |    7 
 googleLanguageR-0.1.1/googleLanguageR/R/speech.R                                                                     |   23 ++
 googleLanguageR-0.1.1/googleLanguageR/R/utilities.R                                                                  |    7 
 googleLanguageR-0.1.1/googleLanguageR/R/version.R                                                                    |only
 googleLanguageR-0.1.1/googleLanguageR/README.md                                                                      |   12 +
 googleLanguageR-0.1.1/googleLanguageR/inst/doc/nlp.html                                                              |   20 +-
 googleLanguageR-0.1.1/googleLanguageR/inst/doc/setup.html                                                            |    4 
 googleLanguageR-0.1.1/googleLanguageR/inst/doc/speech.Rmd                                                            |   69 +++++---
 googleLanguageR-0.1.1/googleLanguageR/inst/doc/speech.html                                                           |   78 +++++-----
 googleLanguageR-0.1.1/googleLanguageR/inst/doc/translation.html                                                      |   18 +-
 googleLanguageR-0.1.1/googleLanguageR/man/gl_nlp.Rd                                                                  |    4 
 googleLanguageR-0.1.1/googleLanguageR/man/gl_speech.Rd                                                               |    3 
 googleLanguageR-0.1.1/googleLanguageR/tests/language.googleapis.com/v1/documents-annotateText-45bb10-POST.json       |    7 
 googleLanguageR-0.1.1/googleLanguageR/tests/language.googleapis.com/v1/documents-annotateText-89db45-POST.json       |   22 --
 googleLanguageR-0.1.1/googleLanguageR/tests/speech.googleapis.com/v1/operations                                      |only
 googleLanguageR-0.1.1/googleLanguageR/tests/speech.googleapis.com/v1/speech-longrunningrecognize-ae1b66-POST.json    |only
 googleLanguageR-0.1.1/googleLanguageR/tests/speech.googleapis.com/v1/speech-longrunningrecognize-e400d0-POST.json    |    2 
 googleLanguageR-0.1.1/googleLanguageR/tests/speech.googleapis.com/v1/speech-recognize-e400d0-POST.json               |   36 ++--
 googleLanguageR-0.1.1/googleLanguageR/tests/testthat/test_integration.R                                              |   26 ++-
 googleLanguageR-0.1.1/googleLanguageR/tests/testthat/test_unit.R                                                     |   60 +++++--
 googleLanguageR-0.1.1/googleLanguageR/tests/translation.googleapis.com/language/translate/v2-a43ef9-POST.json        |only
 googleLanguageR-0.1.1/googleLanguageR/tests/translation.googleapis.com/language/translate/v2/detect-b110ba-POST.json |    6 
 googleLanguageR-0.1.1/googleLanguageR/tests/translation.googleapis.com/language/translate/v2/detect-c6a946-POST.json |    4 
 googleLanguageR-0.1.1/googleLanguageR/vignettes/speech.Rmd                                                           |   69 +++++---
 28 files changed, 299 insertions(+), 244 deletions(-)

More information about googleLanguageR at CRAN
Permanent link

New package BayesGOF with initial version 1.3
Package: BayesGOF
Type: Package
Title: Bayesian Modeling via Goodness of Fit
Version: 1.3
Date: 2017-11-14
Author: Subhadeep Mukhopadhyay, Douglas Fletcher
Maintainer: Doug Fletcher <tug25070@temple.edu>
Description: Non-parametric method for learning prior distribution starting with parametric (subjective) prior. It performs four interconnected tasks: (i) characterizes the uncertainty of the elicited prior; (ii) exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) performs macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. (2017, Technical Report).
Depends: orthopolynom, VGAM
License: GPL-2
NeedsCompilation: no
Packaged: 2017-11-16 02:29:46 UTC; Doug
Repository: CRAN
Date/Publication: 2017-11-16 10:20:32 UTC

More information about BayesGOF at CRAN
Permanent link

Package tweedie updated to version 2.3.1 with previous version 2.3.0 dated 2017-11-08

Title: Evaluation of Tweedie Exponential Family Models
Description: Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi10.1007/s11222-005-4070-y>) and the Fourier inversion (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.
Author: Peter K. Dunn [cre, aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

Diff between tweedie versions 2.3.0 dated 2017-11-08 and 2.3.1 dated 2017-11-16

 DESCRIPTION             |   10 +++++-----
 MD5                     |   14 +++++++-------
 NEWS                    |    9 +++++++--
 R/tweedie.R             |   12 ++++++------
 build/partial.rdb       |binary
 inst/CITATION           |    2 +-
 man/tweedie-internal.Rd |    4 ++--
 man/tweedie-package.Rd  |   46 +++++++++++++++++++++++-----------------------
 8 files changed, 51 insertions(+), 46 deletions(-)

More information about tweedie at CRAN
Permanent link

New package SequentialDesign with initial version 1.0
Package: SequentialDesign
Title: Observational Database Study Planning using Exact Sequential Analysis for Poisson and Binomial Data
Version: 1.0
Authors@R: c(person("Judith", "Maro", role=c("aut", "cre"), email = "judy_maro@harvardpilgrim.org"), person("Laura", "Hou", role="aut", email="laura_hou@harvardpilgrim.org"))
Author: Judith Maro [aut, cre], Laura Hou [aut]
Maintainer: Judith Maro <judy_maro@harvardpilgrim.org>
Description: Functions to be used in conjunction with the 'Sequential' package that allows for planning of observational database studies that will be analyzed with exact sequential analysis. This package supports Poisson- and binomial-based data. The primary function, seq_wrapper(...), accepts parameters for simulation of a simple exposure pattern and for the 'Sequential' package setup and analysis functions. The exposure matrix is used to simulate the true and false positive and negative populations (Green (1983) <doi:10.1093/oxfordjournals.aje.a113521>, Brenner (1993) <doi:10.1093/oxfordjournals.aje.a116805>). Functions are then run from the 'Sequential' package on these populations, which allows for the exploration of outcome misclassification in data.
Depends: R (>= 3.3.1)
Imports: Sequential, stats
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 13:55:21 UTC; lhou2
Repository: CRAN
Date/Publication: 2017-11-16 09:52:56 UTC

More information about SequentialDesign at CRAN
Permanent link

New package phenomap with initial version 1.0.1
Package: phenomap
Title: Projecting Satellite-Derived Phenology in Space
Version: 1.0.1
Date: 2017-11-13
Authors@R: person("Christian", "John", email="cjohn@ucdavis.edu", role=c("aut","cre"))
Maintainer: Christian John <cjohn@ucdavis.edu>
Depends: R (>= 3.4.2)
Imports: dplyr, phenex, plyr, raster, stringr, rgdal
Description: This takes in a series of multi-layer raster files and returns a phenology projection raster, following methodologies described in John (2016) <https://etda.libraries.psu.edu/catalog/13521clj5135>.
License: GPL-3
URL: https://github.com/JepsonNomad/phenomap
BugReports: https://github.com/JepsonNomad/phenomap/issues
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-11-15 23:35:04 UTC; christianjohn
Author: Christian John [aut, cre]
Repository: CRAN
Date/Publication: 2017-11-16 09:55:35 UTC

More information about phenomap at CRAN
Permanent link

New package lwgeom with initial version 0.1-0
Package: lwgeom
Version: 0.1-0
Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to some of the functions found in 'liblwgeom', the geometry library used by 'PostGIS'.
Authors@R: c(person("Edzer", "Pebesma", role = c("aut", "cre"), email = "edzer.pebesma@uni-muenster.de", comment = c(ORCID = "0000-0001-8049-7069")), person("Colin", "Rundel", role = "ctb"), person("liblwgeom developers", role = "cph"))
Depends: R (>= 3.3.0)
Imports: Rcpp, units, sf (>= 0.5-5)
Suggests: covr, testthat
LinkingTo: Rcpp
SystemRequirements: GEOS (>= 3.3.0), PROJ.4 (>= 4.8.0)
License: GPL-2
Copyright: file COPYRIGHTS
URL: https://github.com/r-spatial/lwgeom/ https://github.com/postgis/postgis/tree/svn-trunk/liblwgeom
BugReports: https://github.com/r-spatial/lwgeom/issues/
Collate: init.R RcppExports.R geohash.R split.R valid.R transform.R bounding_circle.R geodetic.R bearing.R twkb.R
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-15 19:31:52 UTC; edzer
Author: Edzer Pebesma [aut, cre] (0000-0001-8049-7069), Colin Rundel [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>
Repository: CRAN
Date/Publication: 2017-11-16 09:46:18 UTC

More information about lwgeom at CRAN
Permanent link

Package grattan updated to version 1.5.2.5 with previous version 1.5.2.4 dated 2017-10-23

Title: Australian Tax Policy Analysis
Description: A series of functions focused on costing and evaluating Australian tax policy in support of the Grattan Institute's Australian Perspectives program. For access to the 'taxstats' package, please run install.packages("taxstats", repos = "https://hughparsonage.github.io/drat/", type = "source"). N.B. The 'taxstats' package is approximately 50 MB.
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattan versions 1.5.2.4 dated 2017-10-23 and 1.5.2.5 dated 2017-11-16

 DESCRIPTION                                    |    8 +-
 MD5                                            |   54 +++++++++----------
 NEWS.md                                        |   10 +++
 R/cpi_inflator.R                               |    4 +
 R/cpi_inflator_quarters.R                      |    7 +-
 R/sysdata.rda                                  |binary
 README.md                                      |   70 +++++++++++++++++++++++--
 build/vignette.rds                             |binary
 data/residential_property_prices.rda           |binary
 inst/doc/Modelling-superannuation-changes.R    |   11 ++-
 inst/doc/Modelling-superannuation-changes.Rmd  |   11 ++-
 inst/doc/Modelling-superannuation-changes.html |   43 ++++++++-------
 inst/doc/Performance-of-project.R              |    9 ++-
 inst/doc/Performance-of-project.Rmd            |    9 ++-
 inst/doc/Performance-of-project.html           |   15 +++--
 inst/doc/companion-to-sample-file-1314.R       |    9 ++-
 inst/doc/companion-to-sample-file-1314.Rmd     |    9 ++-
 inst/doc/companion-to-sample-file-1314.html    |   50 ++++++++++-------
 inst/doc/differential-uprating.R               |    9 ++-
 inst/doc/differential-uprating.Rmd             |    9 ++-
 inst/doc/differential-uprating.html            |    6 +-
 man/cpi_inflator.Rd                            |    4 +
 man/cpi_inflator_quarters.Rd                   |    6 +-
 tests/testthat/test_lf_inflator.R              |   15 +++++
 vignettes/Modelling-superannuation-changes.Rmd |   11 ++-
 vignettes/Performance-of-project.Rmd           |    9 ++-
 vignettes/companion-to-sample-file-1314.Rmd    |    9 ++-
 vignettes/differential-uprating.Rmd            |    9 ++-
 28 files changed, 290 insertions(+), 116 deletions(-)

More information about grattan at CRAN
Permanent link

New package flatr with initial version 0.1.1
Package: flatr
Type: Package
Title: Transforms Contingency Tables to Data Frames, and Analyses Them
Version: 0.1.1
Author: Scott D. Graham
Maintainer: Scott D. Graham <scott.grah95@gmail.com>
Description: Contingency Tables are a pain to work with when you want to run regressions. This package takes them, flattens them into a long data frame, so you can more easily analyse them! As well, you can calculate other related statistics. All of this is done so in a 'tidy' manner, so it should tie in nicely with 'tidyverse' series of packages.
Depends: R(>= 3.4.2), stats, dplyr, tibble, magrittr
Suggests: testthat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-15 18:38:31 UTC; scott_000
Repository: CRAN
Date/Publication: 2017-11-16 09:49:33 UTC

More information about flatr at CRAN
Permanent link

Package cowplot updated to version 0.9.0 with previous version 0.8.0 dated 2017-07-30

Title: Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Description: Some helpful extensions and modifications to the 'ggplot2' package. In particular, this package makes it easy to combine multiple 'ggplot2' plots into one and label them with letters, e.g. A, B, C, etc., as is often required for scientific publications. The package also provides a streamlined and clean theme that is used in the Wilke lab, hence the package name, which stands for Claus O. Wilke's plot package.
Author: Claus O. Wilke [aut, cre], RStudio [cph] (Copyright for ggplot2 code copied to cowplot)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

Diff between cowplot versions 0.8.0 dated 2017-07-30 and 0.9.0 dated 2017-11-16

 DESCRIPTION                    |   21 +
 MD5                            |   70 +++---
 NAMESPACE                      |    7 
 NEWS                           |   19 +
 R/axis_canvas.R                |only
 R/draw.R                       |  224 +++++++++++++-------
 R/get_panel.R                  |only
 R/plot_grid.R                  |   17 -
 R/plot_to_gtable.R             |only
 R/themes.R                     |   23 +-
 R/utils_ggplot2.R              |only
 README.md                      |    5 
 build/vignette.rds             |binary
 inst/doc/axis_position.html    |  330 +++++++++++++++++++++++------
 inst/doc/introduction.R        |   23 ++
 inst/doc/introduction.Rmd      |   35 +++
 inst/doc/introduction.html     |  457 ++++++++++++++++++++++++++++++-----------
 inst/doc/plot_annotations.html |  356 ++++++++++++++++++++++++-------
 inst/doc/plot_grid.R           |    6 
 inst/doc/plot_grid.Rmd         |    6 
 inst/doc/plot_grid.html        |  408 +++++++++++++++++++++++++++---------
 inst/doc/shared_legends.html   |  440 ++++++++++++++++++++++++++++-----------
 man/axis_canvas.Rd             |only
 man/draw_figure_label.Rd       |    8 
 man/draw_grob.Rd               |    7 
 man/draw_image.Rd              |only
 man/draw_label.Rd              |   38 ++-
 man/draw_line.Rd               |   17 +
 man/draw_plot.Rd               |   10 
 man/draw_text.Rd               |   27 ++
 man/get_panel.Rd               |only
 man/ggdraw.Rd                  |    6 
 man/insert_xaxis_grob.Rd       |only
 man/plot_grid.Rd               |   17 -
 man/plot_to_gtable.Rd          |only
 man/theme_map.Rd               |only
 tests                          |only
 vignettes/introduction.Rmd     |   35 +++
 vignettes/plot_grid.Rmd        |    6 
 39 files changed, 1960 insertions(+), 658 deletions(-)

More information about cowplot at CRAN
Permanent link

Package thregI updated to version 1.0.4 with previous version 1.0.3 dated 2017-05-03

Title: Threshold Regression for Interval-Censored Data with a Cure Rate Option
Description: Fit a threshold regression model for Interval Censored Data based on the first-hitting-time of a boundary by the sample path of a Wiener diffusion process. The threshold regression methodology is well suited to applications involving survival and time-to-event data.
Author: Man-Hua Chen
Maintainer: Man-Hua Chen <mchen@mail.tku.edu.tw>

Diff between thregI versions 1.0.3 dated 2017-05-03 and 1.0.4 dated 2017-11-16

 DESCRIPTION            |    8 ++++----
 MD5                    |    8 ++++----
 R/predict.thregIcure.R |    4 ++--
 R/thregI.R             |   43 ++++++++++++++++++++++---------------------
 R/thregIcure.R         |   39 ++++++++++++++++++---------------------
 5 files changed, 50 insertions(+), 52 deletions(-)

More information about thregI at CRAN
Permanent link


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