Title: Learn Text 'Embeddings' with 'Starspace'
Description: Wraps the 'StarSpace' library <https://github.com/facebookresearch/StarSpace>
allowing users to calculate word, sentence, article, document, webpage, link and entity 'embeddings'.
By using the 'embeddings', you can perform text based multi-label classification,
find similarities between texts and categories, do collaborative-filtering based recommendation
as well as content-based recommendation, find out relations between entities, calculate
graph 'embeddings' as well as perform semi-supervised learning and multi-task learning on plain text.
The techniques are explained in detail in the paper: 'StarSpace: Embed All The Things!' by Wu et al. (2017), available at <arXiv:1709.03856>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper),
BNOSAC [cph] (R wrapper),
Facebook, Inc. [cph] (Starspace (BSD licensed))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Diff between ruimtehol versions 0.2.3 dated 2020-01-10 and 0.2.5 dated 2020-10-10
ruimtehol-0.2.3/ruimtehol/data/datalist |only ruimtehol-0.2.5/ruimtehol/DESCRIPTION | 8 - ruimtehol-0.2.5/ruimtehol/MD5 | 45 +++--- ruimtehol-0.2.5/ruimtehol/NEWS.md | 8 + ruimtehol-0.2.5/ruimtehol/R/data.R | 2 ruimtehol-0.2.5/ruimtehol/R/r-all-the-things.R | 7 - ruimtehol-0.2.5/ruimtehol/build/vignette.rds |binary ruimtehol-0.2.5/ruimtehol/inst/doc/ground-control-to-ruimtehol.R | 53 ++++--- ruimtehol-0.2.5/ruimtehol/inst/doc/ground-control-to-ruimtehol.Rnw | 13 + ruimtehol-0.2.5/ruimtehol/inst/doc/ground-control-to-ruimtehol.pdf |binary ruimtehol-0.2.5/ruimtehol/man/dekamer.Rd | 2 ruimtehol-0.2.5/ruimtehol/man/embed_articlespace.Rd | 5 ruimtehol-0.2.5/ruimtehol/man/embed_docspace.Rd | 1 ruimtehol-0.2.5/ruimtehol/man/embed_entityrelationspace.Rd | 8 - ruimtehol-0.2.5/ruimtehol/man/embed_sentencespace.Rd | 5 ruimtehol-0.2.5/ruimtehol/man/embed_tagspace.Rd | 3 ruimtehol-0.2.5/ruimtehol/man/embed_wordspace.Rd | 2 ruimtehol-0.2.5/ruimtehol/man/predict.textspace.Rd | 11 + ruimtehol-0.2.5/ruimtehol/man/range.textspace.Rd | 11 + ruimtehol-0.2.5/ruimtehol/man/starspace.Rd | 27 +++ ruimtehol-0.2.5/ruimtehol/man/starspace_load_model.Rd | 3 ruimtehol-0.2.5/ruimtehol/man/starspace_save_model.Rd | 9 - ruimtehol-0.2.5/ruimtehol/src/Starspace/src/model.cpp | 70 +++++----- ruimtehol-0.2.5/ruimtehol/vignettes/ground-control-to-ruimtehol.Rnw | 13 + 24 files changed, 183 insertions(+), 123 deletions(-)
Title: Distributed Representations of Words
Description: Learn vector representations of words by continuous bag of words and skip-gram implementations of the 'word2vec' algorithm.
The techniques are detailed in the paper "Distributed Representations of Words and Phrases and their Compositionality" by Mikolov et al. (2013), available at <arXiv:1310.4546>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper),
BNOSAC [cph] (R wrapper),
Max Fomichev [ctb, cph] (Code in src/word2vec)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Diff between word2vec versions 0.3.0 dated 2020-09-02 and 0.3.2 dated 2020-10-10
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 8 ++++++++ R/word2vec.R | 22 +++++++++++++++++----- man/word2vec.Rd | 8 ++++++++ man/write.word2vec.Rd | 3 +++ 6 files changed, 44 insertions(+), 13 deletions(-)
Title: Embed Video in HTML
Description: A set of functions for generating HTML to
embed hosted video in your R Markdown documents or Shiny applications.
Author: Ian Lyttle [aut, cre] (<https://orcid.org/0000-0001-9962-4849>),
Schneider Electric [cph]
Maintainer: Ian Lyttle <ian.lyttle@se.com>
Diff between vembedr versions 0.1.3 dated 2017-07-16 and 0.1.4 dated 2020-10-10
vembedr-0.1.3/vembedr/R/vembedr.R |only vembedr-0.1.3/vembedr/inst/doc/helpers.R |only vembedr-0.1.3/vembedr/inst/doc/helpers.Rmd |only vembedr-0.1.3/vembedr/inst/doc/helpers.html |only vembedr-0.1.3/vembedr/inst/doc/services.R |only vembedr-0.1.3/vembedr/inst/doc/services.Rmd |only vembedr-0.1.3/vembedr/inst/doc/services.html |only vembedr-0.1.3/vembedr/man/build_suggestion.Rd |only vembedr-0.1.3/vembedr/man/vembedr.Rd |only vembedr-0.1.3/vembedr/vignettes/helpers.Rmd |only vembedr-0.1.3/vembedr/vignettes/services.Rmd |only vembedr-0.1.4/vembedr/DESCRIPTION | 28 + vembedr-0.1.4/vembedr/MD5 | 90 +++-- vembedr-0.1.4/vembedr/NAMESPACE | 21 + vembedr-0.1.4/vembedr/NEWS.md | 13 vembedr-0.1.4/vembedr/R/div.R |only vembedr-0.1.4/vembedr/R/embed.R | 151 ++------- vembedr-0.1.4/vembedr/R/embed_url.R | 45 ++ vembedr-0.1.4/vembedr/R/helper.R | 8 vembedr-0.1.4/vembedr/R/iframe.R |only vembedr-0.1.4/vembedr/R/parse.R | 209 ++++++------- vembedr-0.1.4/vembedr/R/pipe.R | 5 vembedr-0.1.4/vembedr/R/rickroll.R | 10 vembedr-0.1.4/vembedr/R/s3-classes.R |only vembedr-0.1.4/vembedr/R/service-box.R |only vembedr-0.1.4/vembedr/R/service-channel9.R |only vembedr-0.1.4/vembedr/R/service-msstream.R |only vembedr-0.1.4/vembedr/R/service-vimeo.R |only vembedr-0.1.4/vembedr/R/service-youtube.R |only vembedr-0.1.4/vembedr/R/use_start_time.R | 94 ----- vembedr-0.1.4/vembedr/R/utils-htmltools.R |only vembedr-0.1.4/vembedr/R/utils-null.R |only vembedr-0.1.4/vembedr/R/utils-size.R |only vembedr-0.1.4/vembedr/R/vembedr-package.R |only vembedr-0.1.4/vembedr/README.md | 167 +++------- vembedr-0.1.4/vembedr/build/vignette.rds |binary vembedr-0.1.4/vembedr/inst/doc/embed.Rmd |only vembedr-0.1.4/vembedr/inst/doc/embed.html |only vembedr-0.1.4/vembedr/inst/doc/modify.Rmd |only vembedr-0.1.4/vembedr/inst/doc/modify.html |only vembedr-0.1.4/vembedr/inst/doc/vembedr.Rmd |only vembedr-0.1.4/vembedr/inst/doc/vembedr.html |only vembedr-0.1.4/vembedr/inst/vembedr |only vembedr-0.1.4/vembedr/man/embed.Rd | 131 ++++++-- vembedr-0.1.4/vembedr/man/embed_url.Rd | 16 vembedr-0.1.4/vembedr/man/get_service.Rd |only vembedr-0.1.4/vembedr/man/hms.Rd | 3 vembedr-0.1.4/vembedr/man/iframe.Rd |only vembedr-0.1.4/vembedr/man/parse_video_url.Rd | 8 vembedr-0.1.4/vembedr/man/pipe.Rd | 3 vembedr-0.1.4/vembedr/man/rickroll.Rd | 6 vembedr-0.1.4/vembedr/man/secs.Rd | 3 vembedr-0.1.4/vembedr/man/suggest_embed.Rd | 23 - vembedr-0.1.4/vembedr/man/use_align.Rd |only vembedr-0.1.4/vembedr/man/use_bs_responsive.Rd |only vembedr-0.1.4/vembedr/man/use_rounded.Rd |only vembedr-0.1.4/vembedr/man/use_start_time.Rd | 53 +-- vembedr-0.1.4/vembedr/man/vembedr-package.Rd |only vembedr-0.1.4/vembedr/man/vembedr-s3-classes.Rd |only vembedr-0.1.4/vembedr/tests/testthat/test-div.R |only vembedr-0.1.4/vembedr/tests/testthat/test-iframe.R |only vembedr-0.1.4/vembedr/tests/testthat/test-misc.R |only vembedr-0.1.4/vembedr/tests/testthat/test-suggest.R | 80 ++++ vembedr-0.1.4/vembedr/tests/testthat/test-use_start_time.R | 28 + vembedr-0.1.4/vembedr/vignettes/embed.Rmd |only vembedr-0.1.4/vembedr/vignettes/figures |only vembedr-0.1.4/vembedr/vignettes/modify.Rmd |only vembedr-0.1.4/vembedr/vignettes/vembedr.Rmd |only 68 files changed, 628 insertions(+), 567 deletions(-)
Title: Text Plots
Description: Visualise complex relations in texts. This is done by providing functionalities for displaying
text co-occurrence networks, text correlation networks, dependency relationships as well as text clustering.
Feel free to join the effort of providing interesting text visualisations.
Author: Jan Wijffels [aut, cre, cph],
BNOSAC [cph],
Sacha Epskamp [ctb, cph] (code in R/matrix_reduction.R adapted from the
qgraph package version 1.4.0 which is GPL-2 licensed),
Ingo Feinerer and Kurt Hornik [ctb, cph] (partial code in
R/textplot_corlines.R adapted from the tm package version 0.4 which
is GPL-2 licensed)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Diff between textplot versions 0.1.3 dated 2020-06-18 and 0.1.4 dated 2020-10-10
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS.md | 4 ++++ R/textplot_bar.R | 8 +++++++- build/vignette.rds |binary inst/doc/textplot-examples.R | 14 +++++++++----- inst/doc/textplot-examples.Rnw | 14 +++++++++----- inst/doc/textplot-examples.pdf |binary man/textplot_bar.Rd | 8 +++++++- vignettes/textplot-examples.Rnw | 14 +++++++++----- 10 files changed, 58 insertions(+), 30 deletions(-)
Title: Statistical Modeling of Animal Movements
Description: Animal movement models including moving-resting process
with embedded Brownian motion according to
Yan et al. (2014) <doi:10.1007/s10144-013-0428-8>,
Pozdnyakov et al. (2017) <doi:10.1007/s11009-017-9547-6>,
Brownian motion with measurement error according to
Pozdnyakov et al. (2014) <doi:10.1890/13-0532.1>,
and moving-resting-handling process with embedded Brownian motion,
Pozdnyakov et al. (2018) <arXiv:1806.00849>.
Author: Chaoran Hu [aut, cre],
Vladimir Pozdnyakov [aut],
Jun Yan [aut]
Maintainer: Chaoran Hu <chaoran.hu@uconn.edu>
Diff between smam versions 0.5.3 dated 2020-01-17 and 0.5.4 dated 2020-10-10
DESCRIPTION | 8 - MD5 | 35 ++++---- NAMESPACE | 1 NEWS.md | 9 ++ R/data.R |only R/fitMovResHan.R | 4 R/movres.R | 187 +++++++++++++++++++++++++++++++--------------- R/rMovResHan.R | 2 R/state_mrh.R | 5 - configure | 18 ++-- configure.ac | 2 data |only inst/CITATION | 44 +++++++--- man/estVarMRME_Godambe.Rd | 29 +++++-- man/f109.Rd |only man/fitMR.Rd | 4 man/fitMRH.Rd | 4 man/fitMRME.Rd | 35 ++++---- man/fitStateMRH.Rd | 3 src/MRME_approx.cpp | 6 - 20 files changed, 259 insertions(+), 137 deletions(-)
Title: Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data
manipulation and visualization. Read/write 'las' and 'laz' files, computation
of metrics in area based approach, point filtering, artificial point reduction,
classification from geographic data, normalization, individual tree segmentation
and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph],
David Auty [aut, ctb] (Reviews the documentation),
Florian De Boissieu [ctb] (Fixed bugs and improved catalog features),
Andrew Sánchez Meador [ctb] (Implemented wing2015() for
segment_snags()),
Bourdon Jean-François [ctb] (Contributed to Roussel2020() for
track_sensor()),
Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for
track_sensor())
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>
Diff between lidR versions 3.0.3 dated 2020-08-03 and 3.0.4 dated 2020-10-10
DESCRIPTION | 12 MD5 | 122 +-- NEWS.md | 803 ------------------------ R/Class-LAS.R | 8 R/Class-LASheader.R | 2 R/RcppExports.R | 4 R/algorithm-spi.R | 14 R/classify_ground.R | 4 R/delineate_crowns.R | 3 R/generate_las.R | 2 R/grid_canopy.R | 3 R/grid_terrain.R | 2 R/io_readLAScatalog.R | 8 R/las_check.R | 2 R/las_tools.R | 18 R/print.R | 10 R/projection.R | 479 ++++++++------ R/voxel_metrics.R | 15 README.md | 6 build/vignette.rds |binary inst/CITATION |only inst/doc/lidR-LAS-class.R | 1 inst/doc/lidR-LAS-class.Rmd | 7 inst/doc/lidR-LAS-class.html | 31 inst/doc/lidR-LAScatalog-class.R | 8 inst/doc/lidR-LAScatalog-class.Rmd | 12 inst/doc/lidR-LAScatalog-class.html | 16 inst/doc/lidR-LAScatalog-engine.R | 7 inst/doc/lidR-LAScatalog-engine.Rmd | 7 inst/doc/lidR-LAScatalog-engine.html | 48 - inst/doc/lidR-catalog-apply-examples.R |only inst/doc/lidR-catalog-apply-examples.Rmd | 4 inst/doc/lidR-computation-speed-LAScatalog.R | 19 inst/doc/lidR-computation-speed-LAScatalog.Rmd | 19 inst/doc/lidR-computation-speed-LAScatalog.html | 12 man/LAS-class.Rd | 8 man/LASheader-class.Rd | 2 man/classify_ground.Rd | 2 man/delineate_crowns.Rd | 3 man/grid_terrain.Rd | 2 man/las_rescale.Rd | 4 man/projection.Rd | 105 +-- man/tin.Rd | 2 man/voxel_metrics.Rd | 13 src/C_delaunay.cpp | 21 src/GridPartition.cpp | 32 src/GridPartition.h | 9 src/LAS.cpp | 32 src/Point.h | 10 src/RcppExports.cpp | 9 src/Shapes.cpp | 2 tests/testthat/Rplots.pdf |binary tests/testthat/test-grid_canopy.R | 9 tests/testthat/test-grid_terrain.R | 2 tests/testthat/test-internal_spatialindex.R | 2 tests/testthat/test-lasground.R | 8 tests/testthat/test-projection.R | 74 +- tests/testthat/test-tree_detection.R | 4 vignettes/lidR-LAS-class.Rmd | 7 vignettes/lidR-LAScatalog-class.Rmd | 12 vignettes/lidR-LAScatalog-engine.Rmd | 7 vignettes/lidR-catalog-apply-examples.Rmd | 4 vignettes/lidR-computation-speed-LAScatalog.Rmd | 19 63 files changed, 808 insertions(+), 1304 deletions(-)
Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() function and its wrappers allow you to disaggregate a low frequency time serie with time series of higher frequency, using the French National Accounts methodology.
The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window.
Typically, the low frequency serie is an annual one, unknown for the last year, and the high frequency is either quarterly or mensual.
See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Author: Arnaud Feldmann
Maintainer: Arnaud Feldmann <arnaud.feldmann@gmail.com>
Diff between disaggR versions 0.1.7 dated 2020-10-09 and 0.1.8 dated 2020-10-10
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 9 ++++++--- tests/testthat/test-utils.R | 8 ++++---- 4 files changed, 16 insertions(+), 13 deletions(-)
Title: Conditional Random Fields for Labelling Sequential Data in
Natural Language Processing
Description: Wraps the 'CRFsuite' library <https://github.com/chokkan/crfsuite> allowing users
to fit a Conditional Random Field model and to apply it on existing data.
The focus of the implementation is in the area of Natural Language Processing where this R package allows you to easily build and apply models
for named entity recognition, text chunking, part of speech tagging, intent recognition or classification of any category you have in mind. Next to training, a small web application
is included in the package to allow you to easily construct training data.
Author: Jan Wijffels [aut, cre, cph] (R wrapper),
BNOSAC [cph] (R wrapper),
Naoaki Okazaki [aut, ctb, cph] (CRFsuite library (BSD licensed),
libLBFGS library (MIT licensed), Constant Quark Database software
(BSD licensed)),
Bob Jenkins [aut, ctb] (File src/cqdb/src/lookup3.c (Public Domain)),
Jorge Nocedal [aut, ctb, cph] (libLBFGS library (MIT licensed)),
Jesse Long [aut, ctb, cph] (RumAVL library (MIT licensed))
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Diff between crfsuite versions 0.3.3 dated 2020-09-01 and 0.3.4 dated 2020-10-10
DESCRIPTION | 6 LICENSE | 6 LICENSE.note | 290 ++--- MD5 | 70 - NAMESPACE | 64 - NEWS.md | 78 - R/RcppExports.R | 54 R/data.R | 400 +++--- R/evaluation.R | 245 ++-- R/feature_engineering.R | 312 ++--- R/modelling.R | 906 +++++++-------- R/pkg.R | 18 R/training_data.R | 434 +++---- R/utils.R | 64 - README.md | 140 +- build/vignette.rds |binary inst/CITATION | 30 inst/app/annotation.Rmd | 758 ++++++------- inst/crftuning/crftuning.R | 130 +- inst/doc/crfsuite-nlp.R | 212 +-- inst/doc/crfsuite-nlp.Rmd | 542 ++++----- inst/doc/crfsuite-nlp.html | 2410 +++++++++--------------------------------- man/airbnb.Rd | 52 man/airbnb_chunks.Rd | 58 - man/as.crf.Rd | 46 man/crf.Rd | 272 ++-- man/crf_caretmethod.Rd | 74 - man/crf_cbind_attributes.Rd | 138 +- man/crf_evaluation.Rd | 163 +- man/crf_options.Rd | 98 - man/merge.chunkrange.Rd | 132 +- man/ner_download_modeldata.Rd | 92 - man/predict.crf.Rd | 146 +- man/txt_feature.Rd | 78 - man/txt_sprintf.Rd | 66 - vignettes/crfsuite-nlp.Rmd | 542 ++++----- 36 files changed, 3915 insertions(+), 5211 deletions(-)
Title: Biterm Topic Models for Short Text
Description: Biterm Topic Models find topics in collections of short texts.
It is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns which are called biterms.
This in contrast to traditional topic models like Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis
which are word-document co-occurrence topic models.
A biterm consists of two words co-occurring in the same short text window.
This context window can for example be a twitter message, a short answer on a survey, a sentence of a text or a document identifier.
The techniques are explained in detail in the paper 'A Biterm Topic Model For Short Text' by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013) <https://github.com/xiaohuiyan/xiaohuiyan.github.io/blob/master/paper/BTM-WWW13.pdf>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper),
BNOSAC [cph] (R wrapper),
Xiaohui Yan [ctb, cph] (BTM C++ library)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Diff between BTM versions 0.3.1 dated 2020-05-02 and 0.3.3 dated 2020-10-10
DESCRIPTION | 8 +-- MD5 | 27 ++++++------ NAMESPACE | 1 NEWS.md | 8 +++ R/RcppExports.R | 4 + R/btm.R | 102 ++++++++++++++++++++++++++++++++++++++++++++++-- man/BTM.Rd | 5 +- man/logLik.BTM.Rd | 2 man/predict.BTM.Rd | 2 man/terms.BTM.Rd | 4 + man/terms.data.frame.Rd |only src/RcppExports.cpp | 14 ++++++ src/doc.h | 2 src/pvec.h | 4 - src/rcpp_BTM.cpp | 49 ++++++++++++++++++++++- 15 files changed, 205 insertions(+), 27 deletions(-)
Title: Extended RC Models for Contingency Tables
Description: Maximum likelihood estimation of an extended class of row-column (RC) association models for two-dimensional contingency tables, which are formulated by a condition of reduced rank on a matrix of extended association parameters; see Forcina (2019) <arXiv:1910.13848>. These parameters are defined by choosing the logit type for the row and column variables among four different options and a transformation derived from suitable divergence measures.
Author: Francesco Bartolucci, Antonio Forcina
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>
Diff between extRC versions 1.1 dated 2020-07-25 and 1.2 dated 2020-10-10
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/MainRC.R | 16 +++++++++------- R/PraD.R | 3 ++- man/PraD.Rd | 5 +++-- 5 files changed, 22 insertions(+), 18 deletions(-)
Title: Pre-Commit Hooks
Description: Useful git hooks for R building on top of the
multi-language framework 'pre-commit' for hook management. This
package provides git hooks for common tasks like formatting files with
'styler' or spell checking as well as wrapper functions to access the
'pre-commit' executable.
Author: Lorenz Walthert
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>
Diff between precommit versions 0.1.2 dated 2020-06-13 and 0.1.3 dated 2020-10-10
DESCRIPTION | 8 +- MD5 | 51 +++++++++-------- NEWS.md | 18 ++++++ R/config.R | 4 + R/exec.R | 34 +++++++++-- R/install.R | 4 - R/release.R | 7 +- R/setup.R | 2 R/testing.R | 6 ++ README.md | 12 +--- inst/doc/FAQ.Rmd | 11 ++- inst/doc/FAQ.html | 2 inst/doc/available-hooks.Rmd | 6 +- inst/doc/available-hooks.html | 8 +- inst/pre-commit-config-pkg.yaml | 2 inst/pre-commit-config-proj.yaml | 2 man/not_conda.Rd |only man/path_derive_precommit_exec_win_python3plus_base.Rd |only man/path_precommit_exec.Rd | 7 +- man/precommit-package.Rd | 2 man/use_precommit.Rd | 2 man/use_precommit_config.Rd | 2 tests/testthat/test-assumptions.R | 11 --- tests/testthat/test-conda.R | 13 ++-- tests/testthat/test-exec.R |only tests/testthat/test-hooks-regex-exclude.R | 2 vignettes/FAQ.Rmd | 11 ++- vignettes/available-hooks.Rmd | 6 +- 28 files changed, 140 insertions(+), 93 deletions(-)
Title: Easily Apply Formats to Data
Description: Contains a set of functions that can be used to apply
formats to data frames or vectors. The package aims to provide to
functionality similar to that of SAS® formats. Formats are assigned to
the format attribute on data frame columns. Then when the fdata()
function is called, a new data frame is created with the column data
formatted as specified. The package also contains a value() function
to create a user-defined format, similar to a SAS® user-defined format.
Author: David Bosak
Maintainer: David Bosak <dbosak01@gmail.com>
Diff between fmtr versions 1.1.0 dated 2020-09-11 and 1.2.2 dated 2020-10-10
DESCRIPTION | 10 +- MD5 | 75 +++++++++++------- NAMESPACE | 18 ++++ NEWS.md |only R/fapply.R | 35 ++++---- R/fattr.R | 24 +++-- R/fcat.R |only R/fdata.R | 94 ++++++++++++++--------- R/flist.R | 173 ++++++++++++++++++++++++++++++++++++++++--- R/fmt.R | 170 ++++++++++++++++++++++++++++++++++++++++-- R/fmtr.R | 22 ++++- R/formats.R | 12 ++ README.md | 37 ++++++++- inst/doc/fmtr-vignette.Rmd | 35 ++++++++ inst/doc/fmtr-vignette.html | 38 +++++++++ man/FormattingStrings.Rd | 2 man/as.data.frame.fcat.Rd |only man/as.data.frame.fmt.Rd |only man/as.data.frame.fmt_lst.Rd |only man/as.fcat.Rd |only man/as.fcat.data.frame.Rd |only man/as.fcat.fmt_lst.Rd |only man/as.fcat.list.Rd |only man/as.fcat.tbl_df.Rd |only man/as.flist.Rd | 22 ++++- man/as.fmt.Rd |only man/condition.Rd | 17 ++-- man/fapply.Rd | 15 +-- man/fattr-set.Rd | 2 man/fattr.Rd | 14 +-- man/fcat.Rd |only man/fdata.Rd | 81 +++++++++++--------- man/flist.Rd | 16 +++ man/fmtr.Rd | 15 ++- man/formats.Rd | 12 ++ man/is.fcat.Rd |only man/is.flist.Rd | 8 + man/print.fcat.Rd |only man/print.fmt.Rd |only man/print.fmt_lst.Rd |only man/read.fcat.Rd |only man/value.Rd | 9 +- man/write.fcat.Rd |only tests/testthat/test-fcat.R |only tests/testthat/test-fdata.R | 22 +++++ tests/testthat/test-flist.R | 78 ++++++++++++++++++- tests/testthat/test-fmt.R | 116 ++++++++++++++++++++++++++++ vignettes/fmtr-vignette.Rmd | 35 ++++++++ 48 files changed, 1009 insertions(+), 198 deletions(-)
Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely
compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models
and do basic R-style math, and compiling both models and nimbleFunctions via
custom-generated C++. 'NIMBLE' includes default methods for MCMC, Monte Carlo
Expectation Maximization, and some other tools. The nimbleFunction system makes
it easy to do things like implement new MCMC samplers from R, customize the
assignment of samplers to different parts of a model from R, and compile the
new samplers automatically via C++ alongside the samplers 'NIMBLE' provides.
'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New
distributions and functions can be added, including as calls to external
compiled code. Although most people think of MCMC as the main goal of the
'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing
arbitrary other kinds of model-generic algorithms as well. A full User Manual is
available at <https://r-nimble.org>.
Author: Perry de Valpine [aut],
Christopher Paciorek [aut, cre],
Daniel Turek [aut],
Nick Michaud [aut],
Cliff Anderson-Bergman [aut],
Fritz Obermeyer [aut],
Claudia Wehrhahn Cortes [aut] (Bayesian nonparametrics system),
Abel Rodrìguez [aut] (Bayesian nonparametrics system),
Duncan Temple Lang [aut] (packaging configuration),
Sally Paganin [aut] (reversible jump MCMC),
Jagadish Babu [ctb] (code for the compilation system for an early
version of NIMBLE),
Lauren Ponisio [ctb] (contributions to the cross-validation code),
Peter Sujan [ctb] (multivariate t distribution code)
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>
Diff between nimble versions 0.9.1 dated 2020-05-22 and 0.10.0 dated 2020-10-10
nimble-0.10.0/nimble/DESCRIPTION | 37 nimble-0.10.0/nimble/INSTALL | 6 nimble-0.10.0/nimble/LICENSE | 2 nimble-0.10.0/nimble/MD5 | 169 nimble-0.10.0/nimble/NAMESPACE | 11 nimble-0.10.0/nimble/R/BNP_distributions.R | 4 nimble-0.10.0/nimble/R/BNP_samplers.R | 2401 ++- nimble-0.10.0/nimble/R/BUGS_BUGSdecl.R | 79 nimble-0.10.0/nimble/R/BUGS_model.R | 44 nimble-0.10.0/nimble/R/BUGS_modelDef.R | 130 nimble-0.10.0/nimble/R/BUGS_utils.R | 13 nimble-0.10.0/nimble/R/CAR.R | 22 nimble-0.10.0/nimble/R/MCEM_build.R | 22 nimble-0.10.0/nimble/R/MCMC_build.R | 22 nimble-0.10.0/nimble/R/MCMC_configuration.R | 138 nimble-0.10.0/nimble/R/MCMC_conjugacy.R | 87 nimble-0.10.0/nimble/R/MCMC_run.R | 11 nimble-0.10.0/nimble/R/MCMC_samplers.R | 822 - nimble-0.10.0/nimble/R/MCMC_utils.R | 51 nimble-0.10.0/nimble/R/NF_utils.R | 28 nimble-0.10.0/nimble/R/all_utils.R | 18 nimble-0.10.0/nimble/R/cppDefs_cppProject.R | 6 nimble-0.10.0/nimble/R/cppInterfaces_modelValues.R | 5 nimble-0.10.0/nimble/R/crossValidation.R | 11 nimble-0.10.0/nimble/R/distributions_inputList.R | 5 nimble-0.10.0/nimble/R/distributions_processInputList.R | 39 nimble-0.10.0/nimble/R/externalCalls.R | 2 nimble-0.10.0/nimble/R/genCpp_generateCpp.R | 13 nimble-0.10.0/nimble/R/genCpp_sizeProcessing.R | 138 nimble-0.10.0/nimble/R/initializeModel.R | 11 nimble-0.10.0/nimble/R/miscFunctions.R | 76 nimble-0.10.0/nimble/R/nimbleFunction_Rexecution.R | 96 nimble-0.10.0/nimble/R/nimbleFunction_core.R | 16 nimble-0.10.0/nimble/R/nimbleFunction_keywordProcessing.R | 38 nimble-0.10.0/nimble/R/types_modelValues.R | 63 nimble-0.10.0/nimble/R/types_modelValuesAccessor.R | 31 nimble-0.10.0/nimble/R/types_modelVariableAccessor.R | 4 nimble-0.10.0/nimble/R/types_nimbleFunctionList.R | 13 nimble-0.10.0/nimble/R/types_numericLists.R | 2 nimble-0.10.0/nimble/R/types_util.R | 37 nimble-0.10.0/nimble/inst/CITATION | 4 nimble-0.10.0/nimble/inst/CppCode/dists.cpp | 10 nimble-0.10.0/nimble/inst/NEWS | 108 nimble-0.10.0/nimble/inst/include/nimble/accessorClasses.h | 3 nimble-0.10.0/nimble/inst/tests/bnp_monteCarloTest.Rmd |only nimble-0.10.0/nimble/inst/tests/bnp_more_general.R |only nimble-0.10.0/nimble/inst/tests/dynamicIndexingTestLog_Correct.Rout | 3225 ----- nimble-0.10.0/nimble/inst/tests/mcmcTestLog_Correct.Rout | 13 nimble-0.10.0/nimble/inst/tests/test-bnp.R | 6234 +++++++--- nimble-0.10.0/nimble/inst/tests/test-car.R |only nimble-0.10.0/nimble/inst/tests/test-crossVal.R | 59 nimble-0.10.0/nimble/inst/tests/test-distributions.R | 36 nimble-0.10.0/nimble/inst/tests/test-dynamicIndexing.R | 58 nimble-0.10.0/nimble/inst/tests/test-expandNodeNames.R | 7 nimble-0.10.0/nimble/inst/tests/test-initializeModel.R | 85 nimble-0.10.0/nimble/inst/tests/test-mcmc.R | 339 nimble-0.10.0/nimble/inst/tests/test-misc.R | 158 nimble-0.10.0/nimble/inst/tests/test-modelValuesInterface.R | 64 nimble-0.10.0/nimble/inst/tests/test-models.R | 91 nimble-0.10.0/nimble/inst/tests/test-noSMC.R |only nimble-0.10.0/nimble/inst/tests/test-numericTypes.R | 7 nimble-0.10.0/nimble/inst/tests/test-trunc.R | 6 nimble-0.10.0/nimble/inst/tests/test_utils.R | 10 nimble-0.10.0/nimble/inst/tests/truncTestLog_Correct.Rout | 296 nimble-0.10.0/nimble/man/ChineseRestaurantProcess.Rd | 4 nimble-0.10.0/nimble/man/MCMCconf-class.Rd | 24 nimble-0.10.0/nimble/man/buildAuxiliaryFilter.Rd | 78 nimble-0.10.0/nimble/man/buildBootstrapFilter.Rd | 84 nimble-0.10.0/nimble/man/buildEnsembleKF.Rd | 61 nimble-0.10.0/nimble/man/buildIteratedFilter2.Rd | 92 nimble-0.10.0/nimble/man/buildLiuWestFilter.Rd | 78 nimble-0.10.0/nimble/man/buildMCEM.Rd | 2 nimble-0.10.0/nimble/man/buildMCMC.Rd | 7 nimble-0.10.0/nimble/man/decideAndJump.Rd | 4 nimble-0.10.0/nimble/man/extractControlElement.Rd |only nimble-0.10.0/nimble/man/getSamplesDPmeasure.Rd | 18 nimble-0.10.0/nimble/man/modelBaseClass-class.Rd | 12 nimble-0.10.0/nimble/man/nimCopy.Rd | 5 nimble-0.10.0/nimble/man/nimble-R-functions.Rd | 2 nimble-0.10.0/nimble/man/nimble-internal.Rd | 3 nimble-0.10.0/nimble/man/nimbleMCMC.Rd | 12 nimble-0.10.0/nimble/man/readBUGSmodel.Rd | 2 nimble-0.10.0/nimble/man/samplers.Rd | 71 nimble-0.9.1/nimble/R/filtering_IF2.R |only nimble-0.9.1/nimble/R/filtering_auxiliary.R |only nimble-0.9.1/nimble/R/filtering_bootstrap.R |only nimble-0.9.1/nimble/R/filtering_enkf.R |only nimble-0.9.1/nimble/R/filtering_liuwest.R |only nimble-0.9.1/nimble/R/filtering_resamplers.R |only nimble-0.9.1/nimble/R/filtering_utils.R |only nimble-0.9.1/nimble/inst/tests/test-Filtering2.R |only nimble-0.9.1/nimble/inst/tests/test-filtering.R |only nimble-0.9.1/nimble/man/getLoadingNamespace.Rd |only 93 files changed, 8115 insertions(+), 7980 deletions(-)
Title: Handy File and String Manipulation
Description: This started out as a package for file and string
manipulation. Since then, the 'fs' and 'strex' packages emerged,
offering functionality previously given by this package (but it's done
better in these new ones). Those packages have hence almost pushed
'filesstrings' into extinction. However, it still has a small number
of unique, handy file manipulation functions which can be seen in the
vignette. One example is a function to remove spaces from all file
names in a directory.
Author: Rory Nolan [aut, cre, cph] (<https://orcid.org/0000-0002-5239-4043>),
Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between filesstrings versions 3.1.7 dated 2020-10-03 and 3.2.0 dated 2020-10-10
DESCRIPTION | 8 ++--- MD5 | 8 ++--- NEWS.md | 6 ++++ build/partial.rdb |binary inst/doc/files.html | 74 ++++++++++++++++++++++++++++++++++++++++++++++++++-- 5 files changed, 86 insertions(+), 10 deletions(-)
Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Algorithms for automatically finding appropriate
thresholds for numerical data, with special functions for thresholding
images. Provides the 'ImageJ' 'Auto Threshold' plugin functionality to
R users. See <https://imagej.net/Auto_Threshold> and Landini et al.
(2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl] (<https://orcid.org/0000-0002-5239-4043>),
Luis Alvarez [ctb] (<https://orcid.org/0000-0003-1316-1906>),
Sergi Padilla-Parra [ctb, ths]
(<https://orcid.org/0000-0002-8010-9481>),
Gabriel Landini [ctb, cph] (<https://orcid.org/0000-0002-9689-0989>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between autothresholdr versions 1.3.6 dated 2020-05-08 and 1.3.7 dated 2020-10-10
DESCRIPTION | 22 ++-- MD5 | 32 +++--- NEWS.md | 6 + R/thresh.R | 17 +-- R/utils.R | 2 build/vignette.rds |binary inst/doc/finding-thresholds.R | 18 ++- inst/doc/finding-thresholds.Rmd | 20 ++-- inst/doc/finding-thresholds.html | 76 ++++++++++++++- inst/doc/thresholding-image-stacks.html | 159 +++++++++++++++++++------------- inst/doc/thresholding-images.R | 7 - inst/doc/thresholding-images.Rmd | 10 +- inst/doc/thresholding-images.html | 112 ++++++++++++++++------ man/auto_thresh.Rd | 12 +- tests/testthat.R | 2 vignettes/finding-thresholds.Rmd | 20 ++-- vignettes/thresholding-images.Rmd | 10 +- 17 files changed, 351 insertions(+), 174 deletions(-)
More information about autothresholdr at CRAN
Permanent link
Title: Event Detection Framework
Description: Detect events in time-series data. Combines multiple well-known R packages like 'forecast' and 'neuralnet' to deliver an easily configurable tool for multivariate event detection.
Author: Margarita Rebolledo [aut],
Sowmya Chandrasekaran [aut, cre],
Frederik Rehbach [aut],
Steffen Moritz [aut] (<https://orcid.org/0000-0002-0085-1804>)
Maintainer: Sowmya Chandrasekaran <sowzz.17@gmail.com>
Diff between EventDetectR versions 0.3.4 dated 2020-01-23 and 0.3.5 dated 2020-10-10
DESCRIPTION | 9 +++++---- MD5 | 26 +++++++++++++------------- R/EventDetectR-package.R | 3 ++- R/detectEvents.R | 2 +- R/model_NeuralNetwork.R | 2 +- inst/CITATION | 8 +++++--- man/EventDetectR-package.Rd | 2 +- man/buildEDModel.Rd | 16 +++++++++++----- man/detectEvents.Rd | 18 +++++++++++++----- man/model_NeuralNetwork.Rd | 1 + man/plot.edObject.Rd | 3 +-- man/simulateEvents.Rd | 11 +++++++++-- tests/testthat/Rplots.pdf |binary tests/testthat/test-eventClassification.R | 9 --------- 14 files changed, 63 insertions(+), 47 deletions(-)
Title: Conditional Maximum Likelihood for Quadratic Exponential Models
for Binary Panel Data
Description: Estimation, based on conditional maximum likelihood, of the quadratic exponential model proposed by Bartolucci, F. & Nigro, V. (2010, Econometrica) <DOI:10.3982/ECTA7531> and of a simplified and a modified version of this model. The quadratic exponential model is suitable for the analysis of binary longitudinal data when state dependence (further to the effect of the covariates and a time-fixed individual intercept) has to be taken into account. Therefore, this is an alternative to the dynamic logit model having the advantage of easily allowing conditional inference in order to eliminate the individual intercepts and then getting consistent estimates of the parameters of main interest (for the covariates and the lagged response). The simplified version of this model does not distinguish, as the original model does, between the last time occasion and the previous occasions. The modified version formulates in a different way the interaction terms and it may be used to test in a easy way state dependence as shown in Bartolucci, F., Nigro, V. & Pigini, C. (2018, Econometric Reviews) <DOI:10.1080/07474938.2015.1060039>. The package also includes estimation of the dynamic logit model by a pseudo conditional estimator based on the quadratic exponential model, as proposed by Bartolucci, F. & Nigro, V. (2012, Journal of Econometrics) <DOI:10.1016/j.jeconom.2012.03.004>. For large time dimensions of the panel, the computation of the proposed models involves a recursive function adapted from Krailo M. D., & Pike M. C. (1984, Journal of the Royal Statistical Society. Series C (Applied Statistics)).
Author: Francesco Bartolucci (University of Perugia), Claudia Pigini (University of Ancona "Politecnica delle Marche"), Francesco Valentini (University of Ancona "Politecnica delle Marche")
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>
Diff between cquad versions 2.1 dated 2019-07-02 and 2.2 dated 2020-10-10
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- R/cquad_basic.R | 15 ++++++++++++++- R/cquad_equ.R | 13 ++++++++++++- R/cquad_ext.R | 27 +++++++++++++++++++-------- R/cquad_pseudo.R | 10 ++++++++++ 6 files changed, 64 insertions(+), 19 deletions(-)
Title: Geometric Shadow Calculations
Description: Functions for calculating: (1) shadow height, (2) logical shadow flag, (3) shadow footprint, (4) Sky View Factor and (5) radiation load. Basic required inputs include a polygonal layer of obstacle outlines along with their heights (i.e. "extruded polygons"), sun azimuth and sun elevation. The package also provides functions for related preliminary calculations: breaking polygons into line segments, determining azimuth of line segments, shifting segments by azimuth and distance, constructing the footprint of a line-of-sight between an observer and the sun, and creating a 3D grid covering the surface area of extruded polygons.
Author: Michael Dorman [aut, cre],
Evyatar Erell [ctb],
Itai Kloog [ctb],
Adi Vulkan [ctb],
Roger Bivand [ctb]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>
Diff between shadow versions 0.6.8 dated 2020-08-25 and 0.6.9 dated 2020-10-10
shadow-0.6.8/shadow/data/build.RData |only shadow-0.6.9/shadow/DESCRIPTION | 17 +++-- shadow-0.6.9/shadow/MD5 | 60 ++++++++++---------- shadow-0.6.9/shadow/NAMESPACE | 3 + shadow-0.6.9/shadow/NEWS.md | 13 +++- shadow-0.6.9/shadow/R/checkInputs.R | 4 - shadow-0.6.9/shadow/R/data.R | 33 +++++++++-- shadow-0.6.9/shadow/R/shadow-package.R | 3 + shadow-0.6.9/shadow/R/shadowFootprint.R | 15 +---- shadow-0.6.9/shadow/R/shadowHeight.R | 4 - shadow-0.6.9/shadow/R/solarpos2.R | 3 - shadow-0.6.9/shadow/data/beersheva_build.RData |binary shadow-0.6.9/shadow/data/beersheva_elev.RData |binary shadow-0.6.9/shadow/data/boston_block.RData |binary shadow-0.6.9/shadow/data/boston_build.RData |binary shadow-0.6.9/shadow/data/boston_park.RData |binary shadow-0.6.9/shadow/data/boston_sidewalk.RData |binary shadow-0.6.9/shadow/data/build.rda |only shadow-0.6.9/shadow/man/beersheva_build.Rd | 4 + shadow-0.6.9/shadow/man/beersheva_elev.Rd | 6 +- shadow-0.6.9/shadow/man/boston_block.Rd | 4 + shadow-0.6.9/shadow/man/boston_build.Rd | 4 + shadow-0.6.9/shadow/man/boston_park.Rd | 4 + shadow-0.6.9/shadow/man/boston_sidewalk.Rd | 4 + shadow-0.6.9/shadow/man/build.Rd | 4 + shadow-0.6.9/shadow/man/shadowFootprint.Rd | 8 +- shadow-0.6.9/shadow/man/shadowHeight.Rd | 4 - shadow-0.6.9/shadow/man/solarpos2.Rd | 1 shadow-0.6.9/shadow/man/tmy.Rd | 5 + shadow-0.6.9/shadow/man/tmy2.Rd | 5 + shadow-0.6.9/shadow/tests/testthat/test_inShadow.R | 4 - shadow-0.6.9/shadow/tests/testthat/test_radiation.R | 3 - 32 files changed, 139 insertions(+), 76 deletions(-)
More information about discoverableresearch at CRAN
Permanent link
Title: Creates Co-Occurrence Matrices of Spatial Data
Description: Builds co-occurrence matrices based on spatial raster data.
It includes creation of weighted co-occurrence matrices (wecoma) and
integrated co-occurrence matrices
(incoma; Vadivel et al. (2007) <doi:10.1016/j.patrec.2007.01.004>).
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>),
Maximillian H.K. Hesselbarth [ctb] (Co-author of underlying C++ code
for get_class_index_map(), get_unique_values(), and rcpp_get_coma()
functions),
Marco Sciaini [ctb] (Co-author of underlying C++ code for
get_class_index_map(), get_unique_values(), and rcpp_get_coma()
functions),
Sebastian Hanss [ctb] (Co-author of underlying C++ code for
get_class_index_map(), get_unique_values(), and rcpp_get_coma()
functions)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Diff between comat versions 0.8.2 dated 2020-03-17 and 0.9.0 dated 2020-10-10
DESCRIPTION | 9 - MD5 | 66 ++++++++---- NEWS.md | 4 R/RcppExports.R | 20 +++ R/comat-data.R | 5 R/get_coma.R | 5 R/get_incove.R | 7 + R/get_wecoma.R | 6 - README.md | 11 ++ build |only data/raster_w.rda |binary data/raster_w_na.rda |binary data/raster_x.rda |binary data/raster_x_na.rda |binary data/raster_y.rda |only inst/CITATION | 6 - inst/doc |only inst/include/comat_RcppExports.h | 109 ++++++++++++++++++++- inst/tinytest/test_get_coma.R | 7 + man/get_incove.Rd | 12 +- man/get_wecoma.Rd | 4 man/raster_w.Rd | 4 man/raster_w_na.Rd | 4 man/raster_x.Rd | 4 man/raster_x_na.Rd | 4 man/raster_y.Rd |only src/RcppExports.cpp | 200 ++++++++++++++++++++++++++++++++++++++- src/get_entropy.cpp | 6 - src/get_entropy.h |only src/it_metrics.cpp |only src/it_metrics.h |only tests/tinytest.R | 3 vignettes |only 33 files changed, 441 insertions(+), 55 deletions(-)
Title: Estimate the Shattering Coefficient for a Particular Dataset
Description: The Statistical Learning Theory (SLT) provides the theoretical background to ensure that a supervised algorithm generalizes the mapping f:X -> Y given f is selected from its search space bias F. This formal result depends on the Shattering coefficient function N(F,2n) to upper bound the empirical risk minimization principle, from which one can estimate the necessary training sample size to ensure the probabilistic learning convergence and, most importantly, the characterization of the capacity of F, including its under and overfitting abilities while addressing specific target problems. In this context, we propose a new approach to estimate the maximal number of hyperplanes required to shatter a given sample, i.e., to separate every pair of points from one another, based on the recent contributions by Har-Peled and Jones in the dataset partitioning scenario, and use such foundation to analytically compute the Shattering coefficient function for both binary and multi-class problems. As main contributions, one can use our approach to study the complexity of the search space bias F, estimate training sample sizes, and parametrize the number of hyperplanes a learning algorithm needs to address some supervised task, what is specially appealing to deep neural networks. Reference: de Mello, R.F. (2019) "On the Shattering Coefficient of Supervised Learning Algorithms" <arXiv:1911.05461>; de Mello, R.F., Ponti, M.A. (2018, ISBN: 978-3319949888) "Machine Learning: A Practical Approach on the Statistical Learning Theory".
Author: Rodrigo F. de Mello [aut, cre]
(<https://orcid.org/0000-0002-0435-3992>)
Maintainer: Rodrigo F. de Mello <mello@icmc.usp.br>
Diff between shattering versions 1.0.1 dated 2020-10-01 and 1.0.2 dated 2020-10-10
shattering-1.0.1/shattering/R/estimate_shattering.R |only shattering-1.0.1/shattering/R/run_test.R |only shattering-1.0.1/shattering/man/estimate_shattering.Rd |only shattering-1.0.1/shattering/man/run_test.Rd |only shattering-1.0.2/shattering/DESCRIPTION | 10 - shattering-1.0.2/shattering/MD5 | 24 +--- shattering-1.0.2/shattering/NAMESPACE | 2 shattering-1.0.2/shattering/R/complexity_analysis.R | 62 +++++++----- shattering-1.0.2/shattering/R/compress_space.R | 41 +++---- shattering-1.0.2/shattering/R/equivalence_relation.R | 41 +++++-- shattering-1.0.2/shattering/R/estimate_number_hyperplanes.R | 5 shattering-1.0.2/shattering/man/complexity_analysis.Rd | 2 shattering-1.0.2/shattering/man/compress_space.Rd | 4 shattering-1.0.2/shattering/man/equivalence_relation.Rd | 12 +- shattering-1.0.2/shattering/tests/testthat/test01.r | 4 15 files changed, 118 insertions(+), 89 deletions(-)
Title: Tokenization, Parts of Speech Tagging, Lemmatization and
Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic
'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency
parsing' of raw text. Next to text parsing, the package also allows you to train
annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided
at <https://universaldependencies.org/format.html>. The techniques are explained
in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0
with UDPipe', available at <doi:10.18653/v1/K17-3009>.
The toolkit also contains functionalities for commonly used data manipulations on texts
which are enriched with the output of the parser. Namely functionalities and algorithms
for collocations, token co-occurrence, document term matrix handling,
term frequency inverse document frequency calculations,
information retrieval metrics (Okapi BM25), handling of multi-word expressions,
keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntactical patterns)
sentiment scoring and semantic similarity analysis.
Author: Jan Wijffels [aut, cre, cph],
BNOSAC [cph],
Institute of Formal and Applied Linguistics, Faculty of Mathematics and
Physics, Charles University in Prague, Czech Republic [cph],
Milan Straka [ctb, cph],
Jana Straková [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Diff between udpipe versions 0.8.3 dated 2019-07-05 and 0.8.4 dated 2020-10-10
DESCRIPTION | 32 MD5 | 237 - NAMESPACE | 209 - NEWS.md | 324 + R/RcppExports.R | 62 R/datasets.R | 230 - R/nlp_collocation.R | 224 - R/nlp_cooccurrence.R | 458 +- R/nlp_dependency_parsing.R | 205 - R/nlp_dependency_utlities.R |only R/nlp_flow.R | 1648 ++++++--- R/nlp_morphological.R | 144 R/nlp_phrase_sequences.R | 360 +- R/nlp_rake.R | 186 - R/pkg.R | 19 R/sentiment.R | 382 +- R/topicmodels.R | 284 - R/udpipe_models.R | 917 ++--- R/udpipe_parse.R | 1007 +++-- R/udpipe_reconstruct.R | 352 +- R/udpipe_train.R | 707 ++-- R/utils.R | 1357 ++++--- README.md | 199 - build/vignette.rds |binary data/brussels_reviews_anno.RData |binary inst/doc/udpipe-annotation.R | 158 inst/doc/udpipe-annotation.Rmd | 372 +- inst/doc/udpipe-annotation.html | 2187 ++++++++++-- inst/doc/udpipe-parallel.R | 84 inst/doc/udpipe-parallel.Rmd | 224 - inst/doc/udpipe-parallel.html | 714 ++-- inst/doc/udpipe-train.R | 262 - inst/doc/udpipe-train.Rmd | 831 +++- inst/doc/udpipe-train.html | 3060 +++++++++++++----- inst/doc/udpipe-tryitout.R | 62 inst/doc/udpipe-tryitout.Rmd | 144 inst/doc/udpipe-tryitout.html | 678 ++- inst/doc/udpipe-universe.R |only inst/doc/udpipe-universe.Rmd |only inst/doc/udpipe-universe.html |only inst/doc/udpipe-usecase-postagging-lemmatisation.R | 236 - inst/doc/udpipe-usecase-postagging-lemmatisation.Rmd | 452 +- inst/doc/udpipe-usecase-postagging-lemmatisation.html | 2255 ++++++++++--- inst/doc/udpipe-usecase-topicmodelling.R | 292 - inst/doc/udpipe-usecase-topicmodelling.Rmd | 536 +-- inst/doc/udpipe-usecase-topicmodelling.html | 2411 +++++++++++--- inst/dummydata/traindata.conllu | 80 inst/models-ud-2.0/params_parser | 136 inst/models-ud-2.0/params_tagger | 136 inst/models-ud-2.0/params_tokenizer | 136 inst/models-ud-2.5 |only man/as.data.frame.udpipe_connlu.Rd | 92 man/as.matrix.cooccurrence.Rd | 64 man/as_conllu.Rd | 112 man/as_cooccurrence.Rd | 60 man/as_fasttext.Rd |only man/as_phrasemachine.Rd | 100 man/as_word2vec.Rd | 64 man/brussels_listings.Rd | 44 man/brussels_reviews.Rd | 52 man/brussels_reviews_anno.Rd | 120 man/cbind_dependencies.Rd | 112 man/cbind_morphological.Rd | 76 man/cooccurrence.Rd | 229 - man/document_term_frequencies.Rd | 180 - man/document_term_frequencies_statistics.Rd | 68 man/document_term_matrix.Rd | 184 - man/dtm_bind.Rd | 121 man/dtm_chisq.Rd |only man/dtm_colsums.Rd | 63 man/dtm_conform.Rd |only man/dtm_cor.Rd | 60 man/dtm_remove_lowfreq.Rd | 80 man/dtm_remove_sparseterms.Rd | 74 man/dtm_remove_terms.Rd | 70 man/dtm_remove_tfidf.Rd | 104 man/dtm_reverse.Rd | 60 man/dtm_svd_similarity.Rd |only man/dtm_tfidf.Rd | 62 man/keywords_collocation.Rd | 159 man/keywords_phrases.Rd | 207 - man/keywords_rake.Rd | 145 man/paste.data.frame.Rd | 90 man/predict.LDA.Rd | 200 - man/strsplit.data.frame.Rd | 86 man/syntaxpatterns.Rd |only man/syntaxrelation.Rd |only man/txt_collapse.Rd | 50 man/txt_contains.Rd | 86 man/txt_count.Rd |only man/txt_freq.Rd | 56 man/txt_highlight.Rd | 56 man/txt_next.Rd | 62 man/txt_nextgram.Rd | 90 man/txt_overlap.Rd |only man/txt_previous.Rd | 62 man/txt_previousgram.Rd | 90 man/txt_recode.Rd | 66 man/txt_recode_ngram.Rd | 100 man/txt_sample.Rd | 54 man/txt_sentiment.Rd | 226 - man/txt_show.Rd | 46 man/txt_tagsequence.Rd | 134 man/udpipe.Rd | 212 - man/udpipe_accuracy.Rd | 127 man/udpipe_annotate.Rd | 221 - man/udpipe_annotation_params.Rd | 64 man/udpipe_download_model.Rd | 364 +- man/udpipe_load_model.Rd | 104 man/udpipe_read_conllu.Rd | 46 man/udpipe_train.Rd | 254 - man/unique_identifier.Rd | 70 man/unlist_tokens.Rd |only src/Makevars | 1 src/RcppExports.cpp | 42 src/rcpp_dependency_parsing_utils.cpp |only src/rcpp_udpipe.cpp | 164 src/udpipe.cpp | 916 ++++- src/udpipe.h | 2 vignettes/udpipe-annotation.Rmd | 372 +- vignettes/udpipe-parallel.Rmd | 224 - vignettes/udpipe-train.Rmd | 831 +++- vignettes/udpipe-tryitout.Rmd | 144 vignettes/udpipe-universe.Rmd |only vignettes/udpipe-usecase-postagging-lemmatisation.Rmd | 452 +- vignettes/udpipe-usecase-topicmodelling.Rmd | 536 +-- 126 files changed, 21467 insertions(+), 12984 deletions(-)
Title: Biological Sequences Retrieval and Analysis
Description: Exploratory data analysis and data visualization
for biological sequence (DNA and protein) data. Seqinr includes
utilities for sequence data management under the ACNUC system
described in Gouy, M. et al. (1984) Nucleic Acids Res.
12:121-127 <doi:10.1093/nar/12.1Part1.121>.
Author: Delphine Charif [aut],
Olivier Clerc [ctb],
Carolin Frank [ctb],
Jean R. Lobry [aut, cph],
Anamaria Necşulea [ctb],
Leonor Palmeira [ctb],
Simon Penel [cre],
Guy Perrière [ctb]
Maintainer: Simon Penel <simon.penel@univ-lyon1.fr>
Diff between seqinr versions 3.6-1 dated 2019-09-07 and 4.2-4 dated 2020-10-10
DESCRIPTION | 12 ++--- MD5 | 100 ++++++++++++++++++++++++------------------------ R/extract.breakpoints.R | 12 ++--- data/AnoukResult.RData |binary data/ECH.RData |binary data/EXP.RData |binary data/JLO.RData |binary data/SEQINR.UTIL.RData |binary data/aacost.RData |binary data/aaindex.RData |binary data/caitab.RData |binary data/chargaff.RData |binary data/clustal.RData |binary data/dinucl.RData |binary data/ec999.RData |binary data/fasta.RData |binary data/gcO2.rda |binary data/gcT.rda |binary data/gs500liz.RData |binary data/identifiler.RData |binary data/kaksTorture.RData |binary data/m16j.RData |binary data/mase.RData |binary data/msf.RData |binary data/pK.RData |binary data/phylip.RData |binary data/prochlo.RData |binary data/revaligntest.RData |binary data/sysdata.rda |binary data/toyaa.RData |binary data/toycodon.RData |binary data/waterabs.RData |binary man/ECH.Rd | 2 man/JLO.Rd | 2 man/SEQINR.UTIL.Rd | 2 man/a.Rd | 2 man/aaa.Rd | 2 man/aaindex.Rd | 2 man/amb.Rd | 2 man/bma.Rd | 2 man/computePI.Rd | 2 man/dinucl.Rd | 2 man/get.db.growth.Rd | 4 - man/oriloc.Rd | 4 - man/pmw.Rd | 2 man/prochlo.Rd | 2 man/read.abif.Rd | 2 man/recstat.Rd | 2 man/translate.Rd | 2 man/uco.Rd | 2 man/zscore.Rd | 2 51 files changed, 83 insertions(+), 83 deletions(-)
Title: Producing and Reproducing Results
Description: A system for embedded scientific computing and reproducible research with R.
The OpenCPU server exposes a simple but powerful HTTP api for RPC and data interchange
with R. This provides a reliable and scalable foundation for statistical services or
building R web applications. The OpenCPU server runs either as a single-user development
server within the interactive R session, or as a multi-user Linux stack based on Apache2.
The entire system is fully open source and permissively licensed. The OpenCPU website
has detailed documentation and example apps.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between opencpu versions 2.2.0 dated 2020-07-03 and 2.2.1 dated 2020-10-10
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS | 3 +++ R/github.R | 2 +- inst/CITATION | 4 ++-- inst/doc/opencpu-paper.pdf |binary 6 files changed, 14 insertions(+), 11 deletions(-)
Title: Fast Computation of some Matrices Useful in Statistics
Description: Small set of functions to fast computation of some matrices and operations
useful in statistics.
Author: Felipe Osorio [aut, cre] (<https://orcid.org/0000-0002-4675-5201>),
Alonso Ogueda [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>
Diff between fastmatrix versions 0.2-357 dated 2020-09-18 and 0.2-3571 dated 2020-10-10
fastmatrix-0.2-357/fastmatrix/src/matrix.c |only fastmatrix-0.2-3571/fastmatrix/ChangeLog | 13 fastmatrix-0.2-3571/fastmatrix/DESCRIPTION | 8 fastmatrix-0.2-3571/fastmatrix/MD5 | 49 +- fastmatrix-0.2-3571/fastmatrix/NAMESPACE | 19 - fastmatrix-0.2-3571/fastmatrix/R/cov.R |only fastmatrix-0.2-3571/fastmatrix/R/hadamard.R | 4 fastmatrix-0.2-3571/fastmatrix/R/kronecker.R |only fastmatrix-0.2-3571/fastmatrix/R/lu.R | 2 fastmatrix-0.2-3571/fastmatrix/R/norms.R | 4 fastmatrix-0.2-3571/fastmatrix/R/ols.R |only fastmatrix-0.2-3571/fastmatrix/inst/CITATION | 4 fastmatrix-0.2-3571/fastmatrix/inst/include/fastmatrix.h | 41 ++ fastmatrix-0.2-3571/fastmatrix/inst/include/fastmatrix_API.h | 209 ++++++++++- fastmatrix-0.2-3571/fastmatrix/man/cov.MSSD.Rd |only fastmatrix-0.2-3571/fastmatrix/man/cov.weighted.Rd |only fastmatrix-0.2-3571/fastmatrix/man/kronecker.prod.Rd |only fastmatrix-0.2-3571/fastmatrix/man/lu2inv.Rd | 2 fastmatrix-0.2-3571/fastmatrix/man/ols.Rd |only fastmatrix-0.2-3571/fastmatrix/man/ols.fit-methods.Rd |only fastmatrix-0.2-3571/fastmatrix/man/ols.fit.Rd |only fastmatrix-0.2-3571/fastmatrix/src/R_init_fastmatrix.c | 78 +++- fastmatrix-0.2-3571/fastmatrix/src/cholesky.c |only fastmatrix-0.2-3571/fastmatrix/src/cov.c |only fastmatrix-0.2-3571/fastmatrix/src/cpy_triangle.f |only fastmatrix-0.2-3571/fastmatrix/src/fastmatrix.h | 143 +++++-- fastmatrix-0.2-3571/fastmatrix/src/kronecker.c |only fastmatrix-0.2-3571/fastmatrix/src/lu.c | 2 fastmatrix-0.2-3571/fastmatrix/src/matrix_API.c |only fastmatrix-0.2-3571/fastmatrix/src/ols.c |only fastmatrix-0.2-3571/fastmatrix/src/stats.c | 31 - fastmatrix-0.2-3571/fastmatrix/src/svd.c |only fastmatrix-0.2-3571/fastmatrix/src/symmetrizer.c | 2 fastmatrix-0.2-3571/fastmatrix/src/utils.c | 20 + 34 files changed, 519 insertions(+), 112 deletions(-)
Title: A Test Environment for Database Requests
Description: Testing and documenting code that communicates with remote
databases can be painful. Although the interaction with R is usually relatively
simple (e.g. data(frames) passed to and from a database), because they rely on
a separate service and the data there, testing them can be difficult to set up,
unsustainable in a continuous integration environment, or impossible without
replicating an entire production cluster. This package addresses that by
allowing you to make recordings from your database interactions and then play
them back while testing (or in other contexts) all without needing to spin up
or have access to the database your code would typically connect to.
Author: Jonathan Keane [aut, cre] (<https://orcid.org/0000-0001-7087-9776>),
Mauricio Vargas [aut] (<https://orcid.org/0000-0003-1017-7574>),
Helen Miller [rev] (reviewed the package for rOpenSci, see
https://github.com/ropensci/software-review/issues/366),
Etienne Racine [rev] (reviewed the package for rOpenSci, see
https://github.com/ropensci/software-review/issues/366)
Maintainer: Jonathan Keane <jkeane@gmail.com>
Diff between dittodb versions 0.1.2 dated 2020-10-08 and 0.1.3 dated 2020-10-10
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS.md | 3 +++ inst/doc/developing-dittodb.html | 4 ++-- inst/doc/dittodb.html | 8 ++++---- inst/doc/nycflights.html | 4 ++-- inst/doc/travelling.R | 9 +++++++-- inst/doc/travelling.Rmd | 9 +++++++-- inst/doc/travelling.html | 4 ++-- vignettes/travelling.Rmd | 9 +++++++-- 10 files changed, 46 insertions(+), 28 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-22 0.9.3
2017-07-23 0.9.2
2016-10-19 0.9.1
2016-06-06 0.9.0
2015-11-05 0.8.3
2015-09-28 0.8.2
2015-07-13 0.8.1
2015-06-03 0.8.0
Title: Learning Interactions via Hierarchical Group-Lasso
Regularization
Description: Group-Lasso INTERaction-NET. Fits linear pairwise-interaction models that satisfy strong hierarchy: if an interaction coefficient is estimated to be nonzero, then its two associated main effects also have nonzero estimated coefficients. Accommodates categorical variables (factors) with arbitrary numbers of levels, continuous variables, and combinations thereof. Implements the machinery described in the paper "Learning interactions via hierarchical group-lasso regularization" (JCGS 2015, Volume 24, Issue 3). Michael Lim & Trevor Hastie (2015) <DOI:10.1080/10618600.2014.938812>.
Author: Michael Lim, Trevor Hastie
Maintainer: Michael Lim <michael626@gmail.com>
Diff between glinternet versions 1.0.10 dated 2019-07-03 and 1.0.11 dated 2020-10-10
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/group_lasso.r | 10 +++++++--- man/glinternet.Rd | 2 +- 4 files changed, 15 insertions(+), 11 deletions(-)
Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with
the 'stringr' or 'stringi' packages. The foremost of these is the
extraction of numbers from strings. 'stringr' and 'stringi' make you
figure out the regular expression for yourself; 'strex' takes care of
this for you. There are many other handy functionalities in 'strex'.
Contributions to this package are encouraged: it is intended as a
miscellany of string manipulation functions that cannot be found in
'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between strex versions 1.3.1 dated 2020-10-02 and 1.4.0 dated 2020-10-10
DESCRIPTION | 12 ++--- MD5 | 28 ++++++------ NEWS.md | 10 ++++ R/arg-match.R | 26 ++++++----- R/currency.R | 3 - R/trim.R | 66 ++++++++++++++++++---------- build/partial.rdb |binary inst/doc/alphordering-numbers.html | 74 ++++++++++++++++++++++++++++++- inst/doc/argument-matching.html | 86 +++++++++++++++++++++++++++++++++---- inst/doc/before-and-after.html | 74 ++++++++++++++++++++++++++++++- inst/doc/important-miscellany.html | 74 ++++++++++++++++++++++++++++++- inst/doc/numbers-in-strings.html | 74 ++++++++++++++++++++++++++++++- man/str_trim_anything.Rd | 1 tests/testthat/test-arg-match.R | 18 ++++--- tests/testthat/test-trim.R | 10 ++++ 15 files changed, 477 insertions(+), 79 deletions(-)
Title: NASA POWER API Client
Description: Client for 'NASA' 'POWER' global meteorology, surface solar
energy and climatology data 'API'. 'POWER' (Prediction Of Worldwide Energy
Resource) data are freely available global meteorology and surface solar
energy climatology data for download with a resolution of 1/2 by 1/2 arc
degree longitude and latitude and are funded through the 'NASA' Earth
Science Directorate Applied Science Program. For more on the data
themselves, a web-based data viewer and web access, please see
<https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>),
Scott Chamberlain [rev] (<https://orcid.org/0000-0003-1444-9135>, Scott
Chamberlain reviewed nasapower for rOpenSci, see
https://github.com/ropensci/software-review/issues/155),
Hazel Kavili [rev] (Hazel Kavili reviewed nasapower for rOpenSci, see
https://github.com/ropensci/software-review/issues/155),
Alison Boyer [rev] (Alison Boyer reviewed nasapower for rOpenSci, see
https://github.com/ropensci/software-review/issues/155)
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>
Diff between nasapower versions 2.0.0 dated 2020-09-23 and 3.0.0 dated 2020-10-10
nasapower-2.0.0/nasapower/R/deprecated_create_met.R |only nasapower-2.0.0/nasapower/man/create_met.Rd |only nasapower-2.0.0/nasapower/tests/fixtures |only nasapower-2.0.0/nasapower/tests/testthat/helper-nasapower.R |only nasapower-3.0.0/nasapower/DESCRIPTION | 10 nasapower-3.0.0/nasapower/MD5 | 30 nasapower-3.0.0/nasapower/NAMESPACE | 1 nasapower-3.0.0/nasapower/NEWS.md | 25 nasapower-3.0.0/nasapower/R/internal_functions.R | 2 nasapower-3.0.0/nasapower/R/nasapower-defunct.R |only nasapower-3.0.0/nasapower/R/parameters_data.R | 195 +++-- nasapower-3.0.0/nasapower/inst/doc/nasapower.html | 71 + nasapower-3.0.0/nasapower/inst/doc/nasapower_states_example.html | 71 + nasapower-3.0.0/nasapower/man/nasapower-defunct.Rd |only nasapower-3.0.0/nasapower/man/parameters.Rd | 195 +++-- nasapower-3.0.0/nasapower/tests/testthat/test-get_power.R | 386 ++++------ nasapower-3.0.0/nasapower/tests/testthat/test-internal_functions.R | 30 17 files changed, 632 insertions(+), 384 deletions(-)
Title: Creates Log Files
Description: Contains functions to help create log files. The
package aims to overcome the difficulty of the base R sink() command. The
log_print() function will print to both the console and the file log,
without interfering in other write operations.
Author: David Bosak [aut, cre]
Maintainer: David Bosak <dbosak01@gmail.com>
Diff between logr versions 1.1.0 dated 2020-08-10 and 1.1.1 dated 2020-10-10
DESCRIPTION | 8 ++++---- MD5 | 7 ++++--- NEWS.md |only build/vignette.rds |binary inst/doc/logr.html | 26 +++++++++++--------------- 5 files changed, 19 insertions(+), 22 deletions(-)
Title: Litter Analysis
Description: Data sets on various litter types like beach litter, riverain
litter, floating litter, and seafloor litter are rapidly growing. This
package offers a simple user interface to analyse these litter data in
a consistent and reproducible way. It also provides functions to
facilitate several kinds of litter analysis, e.g., trend analysis,
power analysis, and baseline analysis. Under the hood, these functions
are also used by the user interface. See Schulz et al. (2019)
<doi:10.1016/j.envpol.2019.02.030> for details. MS-Windows users are
advised to run 'litteR' in 'RStudio'. See our vignette: Installation manual
for 'RStudio' and 'litteR'.
Author: Dennis Walvoort [aut, cre, cph],
Willem van Loon [aut, cph],
Rijkswaterstaat - The Netherlands [cph, fnd, dtc]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>
Diff between litteR versions 0.8.1 dated 2020-07-05 and 0.8.2 dated 2020-10-10
DESCRIPTION | 8 ++++---- MD5 | 23 ++++++++++++----------- NEWS.md | 7 +++++++ R/gui.R | 4 ++-- R/io.R | 4 ++-- build/partial.rdb |binary inst/app/litter-main.Rmd | 21 ++++++++++----------- inst/app/litter-outlier.Rmd | 2 +- inst/app/litter-stats.Rmd | 4 ++-- inst/doc/litteR-installation.html | 29 +++++++++++------------------ inst/doc/litteR-manual.html | 35 ++++++++++++++--------------------- man/litter.Rd | 3 +-- tests/testthat/test-counts.R |only 13 files changed, 66 insertions(+), 74 deletions(-)
Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users.
Currently the only such package with read and write support for TIFF
files with floating point (real-numbered) pixels, and the only package
that can correctly import TIFF files that were saved from 'ImageJ' and
write TIFF files than can be correctly read by 'ImageJ'
<https://imagej.nih.gov/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>),
Kent Johnson [aut],
Simon Urbanek [ctb],
Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>),
Jeroen Ooms [rev, ctb] (<https://orcid.org/0000-0002-4035-0289>),
Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between ijtiff versions 2.2.0 dated 2020-08-05 and 2.2.1 dated 2020-10-10
DESCRIPTION | 16 ++--- MD5 | 36 ++++++------ NEWS.md | 6 ++ R/argument-checking.R | 6 +- R/class_constructors.R | 2 R/graphics.R | 4 - R/print.R | 5 - R/read.R | 6 +- R/text-io.R | 16 ++--- R/utils.R | 17 +++-- R/write.R | 6 +- README.md | 2 inst/doc/reading-and-writing-images.html | 88 +++++++++++++++++++++++++++---- inst/doc/text-images.html | 13 +++- inst/doc/the-imagej-problem.html | 74 +++++++++++++++++++++++++- man/text-image-io.Rd | 2 src/read.c | 5 - tests/testthat/test-io.R | 16 ++--- tests/testthat/test-read_tags-examples.R | 2 19 files changed, 239 insertions(+), 83 deletions(-)
Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data
analysis, drake rebuilds intermediate data objects when their
dependencies change, and it skips work when the results are already up
to date. Not every execution starts from scratch, there is native
support for parallel and distributed computing, and completed projects
have tangible evidence that they are reproducible. Extensive
documentation, from beginner-friendly tutorials to practical examples
and more, is available at the reference website
<https://docs.ropensci.org/drake/> and the online manual
<https://books.ropensci.org/drake/>.
Author: William Michael Landau [aut, cre]
(<https://orcid.org/0000-0003-1878-3253>),
Alex Axthelm [ctb],
Jasper Clarkberg [ctb],
Kirill Müller [ctb],
Ben Bond-Lamberty [ctb] (<https://orcid.org/0000-0001-9525-4633>),
Tristan Mahr [ctb] (<https://orcid.org/0000-0002-8890-5116>),
Miles McBain [ctb] (<https://orcid.org/0000-0003-2865-2548>),
Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>),
Ellis Hughes [ctb],
Matthew Mark Strasiotto [ctb],
Ben Marwick [rev],
Peter Slaughter [rev],
Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Diff between drake versions 7.12.5 dated 2020-08-26 and 7.12.6 dated 2020-10-10
DESCRIPTION | 16 +++++------ MD5 | 54 +++++++++++++++++++------------------- NEWS.md | 14 +++++++++ R/backend_clustermq.R | 22 ++++++++++++++- R/backend_future.R | 5 ++- R/cache.R | 18 ++++++------ R/decorate_storr.R | 2 - R/defunct.R | 6 +++- R/drake_history.R | 8 ++--- R/handle_triggers.R | 3 -- R/logger.R | 8 ++++- R/rstudio.R | 2 - R/text_drake_graph.R | 3 -- R/transform_plan.R | 2 - R/vis_drake_graph.R | 4 +- man/diagnose.Rd | 4 +- man/drake_cancelled.Rd | 2 - man/drake_history.Rd | 8 ++--- man/drake_progress.Rd | 8 ++--- man/drake_running.Rd | 4 +- man/file_store.Rd | 2 - man/render_drake_graph.Rd | 2 - man/render_text_drake_graph.Rd | 3 -- man/vis_drake_graph.Rd | 2 - tests/testthat/test-5-examples.R | 7 ++++ tests/testthat/test-7-deprecate.R | 10 +++++++ tests/testthat/test-7-files.R | 7 ++++ tests/testthat/test-9-clustermq.R | 5 +++ 28 files changed, 150 insertions(+), 81 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-08-31 2.0-17
2020-05-11 2.0-15
2019-04-24 2.0-11
2019-04-02 2.0-9
2019-03-21 2.0-8
2019-01-22 2.0-7
2018-10-24 2.0-3
2018-10-18 2.0-2
2018-03-23 1.0-7
2018-02-27 1.0-6
2017-11-10 1.0-2