Title: End-to-End Sparse Gaussian Graphical Model Simulation,
Estimation, Visualization, Evaluation and Application
Description: An end-to-end package for learning multiple sparse Gaussian graphical models and nonparanormal models from Heterogeneous Data with Additional Knowledge. It is able to simulate multiple related graphs as well as produce samples drawn from them. Multiple state-of-the-art sparse Gaussian graphical model estimators are included to both multiple and difference estimation. Graph visualization is available in 2D as well as 3D, designed specifically for brain. Moreover, a set of evaluation metrics are integrated for easy exploration with model validity. Finally, classification using graphical model is achieved with Quadratic Discriminant Analysis. The package comes with multiple demos with datasets from various fields. Methods references: SIMULE (Wang B et al. (2017) <doi:10.1007/s10994-017-5635-7>), WSIMULE (Singh C et al. (2017) <arXiv:1709.04090v2>), DIFFEE (Wang B et al. (2018) <arXiv:1710.11223>), JEEK (Wang B et al. (2018) <arXiv:1806.00548>), JGL(Danaher P et al. (2012) <arXiv:1111.0324>) and kdiffnet (Sekhon A et al, preprint for publication).
Author: Zhaoyang Wang [aut],
Beilun Wang [aut],
Arshdeep Sekhon [aut, cre],
Yanjun Qi [aut]
Maintainer: Arshdeep Sekhon <as5cu@virginia.edu>
Diff between JointNets versions 2.0.0 dated 2019-07-28 and 2.0.1 dated 2019-07-29
JointNets-2.0.0/JointNets/README.md |only JointNets-2.0.1/JointNets/DESCRIPTION | 18 +++++++++--------- JointNets-2.0.1/JointNets/MD5 | 5 ++--- JointNets-2.0.1/JointNets/build/partial.rdb |binary 4 files changed, 11 insertions(+), 12 deletions(-)
Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>
Diff between castor versions 1.4.1 dated 2019-06-15 and 1.4.2 dated 2019-07-29
castor-1.4.1/castor/R/fit_hbd_class_on_grid.R |only castor-1.4.1/castor/R/fit_hbd_class_parametric.R |only castor-1.4.1/castor/man/fit_hbd_class_on_grid.Rd |only castor-1.4.1/castor/man/fit_hbd_class_parametric.Rd |only castor-1.4.2/castor/DESCRIPTION | 8 castor-1.4.2/castor/MD5 | 36 - castor-1.4.2/castor/NAMESPACE | 4 castor-1.4.2/castor/R/RcppExports.R | 12 castor-1.4.2/castor/R/auxiliary_routines.R | 13 castor-1.4.2/castor/R/fit_hbd_model_parametric.R | 10 castor-1.4.2/castor/R/fit_hbd_pdr_on_grid.R |only castor-1.4.2/castor/R/fit_hbd_pdr_parametric.R |only castor-1.4.2/castor/R/fit_hbd_psr_on_grid.R |only castor-1.4.2/castor/R/loglikelihood_hbd.R | 53 +- castor-1.4.2/castor/R/simulate_deterministic_hbd.R | 3 castor-1.4.2/castor/man/fit_hbd_model_on_grid.Rd | 4 castor-1.4.2/castor/man/fit_hbd_model_parametric.Rd | 4 castor-1.4.2/castor/man/fit_hbd_pdr_on_grid.Rd |only castor-1.4.2/castor/man/fit_hbd_pdr_parametric.Rd |only castor-1.4.2/castor/man/fit_hbd_psr_on_grid.Rd |only castor-1.4.2/castor/man/loglikelihood_hbd.Rd | 24 - castor-1.4.2/castor/man/simulate_deterministic_hbd.Rd | 1 castor-1.4.2/castor/src/RcppExports.cpp | 45 + castor-1.4.2/castor/src/phylogenetics_cpp_routines.cpp | 386 +++++++++++------ 24 files changed, 426 insertions(+), 177 deletions(-)
Title: Bayesian Inference for Marketing/Micro-Econometrics
Description: Covers many important models used
in marketing and micro-econometrics applications.
The package includes:
Bayes Regression (univariate or multivariate dep var),
Bayes Seemingly Unrelated Regression (SUR),
Binary and Ordinal Probit,
Multinomial Logit (MNL) and Multinomial Probit (MNP),
Multivariate Probit,
Negative Binomial (Poisson) Regression,
Multivariate Mixtures of Normals (including clustering),
Dirichlet Process Prior Density Estimation with normal base,
Hierarchical Linear Models with normal prior and covariates,
Hierarchical Linear Models with a mixture of normals prior and covariates,
Hierarchical Multinomial Logits with a mixture of normals prior
and covariates,
Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates,
Hierarchical Negative Binomial Regression Models,
Bayesian analysis of choice-based conjoint data,
Bayesian treatment of linear instrumental variables models,
Analysis of Multivariate Ordinal survey data with scale
usage heterogeneity (as in Rossi et al, JASA (01)),
Bayesian Analysis of Aggregate Random Coefficient Logit Models as in BLP (see
Jiang, Manchanda, Rossi 2009)
For further reference, consult our book, Bayesian Statistics and
Marketing by Rossi, Allenby and McCulloch (Wiley 2005) and Bayesian Non- and Semi-Parametric
Methods and Applications (Princeton U Press 2014).
Author: Peter Rossi <perossichi@gmail.com>
Maintainer: Peter Rossi <perossichi@gmail.com>
Diff between bayesm versions 3.1-2 dated 2019-07-13 and 3.1-3 dated 2019-07-29
bayesm-3.1-2/bayesm/R/rhierMnlRwMixture_rcpp.r |only bayesm-3.1-3/bayesm/DESCRIPTION | 8 ++++---- bayesm-3.1-3/bayesm/MD5 | 8 ++++---- bayesm-3.1-3/bayesm/R/plot.bayesm.hcoef.R | 2 +- bayesm-3.1-3/bayesm/R/rhierMnlRwMixture_rcpp.R |only bayesm-3.1-3/bayesm/inst/doc/Constrained_MNL_Vignette.html | 8 ++++---- 6 files changed, 13 insertions(+), 13 deletions(-)
Title: Helps Grade Assignment Submissions that are R Scripts
Description: After being given the location of your students' submissions and a test file, the function runs each .R file, and evaluates the results from all the given tests. Results are neatly returned in a data frame that has a row for each student, and a column for each test.
Author: Taylor Brown [aut, cre]
Maintainer: Taylor Brown <trb5me@virginia.edu>
Diff between gradeR versions 1.0.0 dated 2019-06-05 and 1.0.1 dated 2019-07-29
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++++------ NEWS.md | 12 ++++++++++++ R/grade.r | 4 +++- build/vignette.rds |binary inst/doc/gradeR.html | 6 +++++- tests/testthat/example2 |only tests/testthat/test_calcGrades.r | 1 + 8 files changed, 34 insertions(+), 11 deletions(-)
Title: Biomarker Threshold Models
Description: Contains tools to fit both predictive and prognostic biomarker effects using biomarker threshold models. Evaluate the treatment effect, biomarker effect and treatment-biomarker interaction using probability index measurement. Test for treatment-biomarker interaction using residual bootstrap method.
Author: Bingshu E. Chen
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>
Diff between bhm versions 1.13 dated 2017-12-20 and 1.15 dated 2019-07-29
DESCRIPTION | 10 +++++----- MD5 | 24 +++++++++++++----------- NAMESPACE | 14 +++++++++----- R/bhm.R | 22 ++++++++++++++++++++++ R/bhm_fit.R | 2 +- R/mpl.R |only R/pIndex.R | 25 +++++++++++++++++++------ R/prolik.R | 18 +++++++++++++----- man/bhm-package.Rd | 7 ++++--- man/mpl.Rd |only man/pIndexControl.Rd | 8 +++++--- man/plot.Rd | 30 ++++++++++++++++++++++-------- man/print.Rd | 13 ++++++++----- man/resboot.Rd | 12 ++++++++---- 14 files changed, 129 insertions(+), 56 deletions(-)
Title: Interface to the Lake Multi-Scaled Geospatial and Temporal
Database
Description: Client for programmatic access to the Lake
Multi-scaled Geospatial and Temporal database <https://lagoslakes.org>, with functions
for accessing lake water quality and ecological context data for the US.
Author: Joseph Stachelek [aut, cre] (<https://orcid.org/0000-0002-5924-2464>),
Samantha Oliver [aut] (<https://orcid.org/0000-0001-5668-1165>),
Farzan Masrour [aut]
Maintainer: Joseph Stachelek <stachel2@msu.edu>
Diff between LAGOSNE versions 2.0.0 dated 2019-07-24 and 2.0.1 dated 2019-07-29
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 6 ++++++ R/get.R | 9 +++++++-- R/ingest.R | 2 +- man/lagosne_get.Rd | 4 ++-- tests/testthat/test-lagos_load.R | 11 +++++++++++ 7 files changed, 36 insertions(+), 14 deletions(-)
Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an
explicit data- and model-oriented format. The 'tsibble' provides tools to
easily manipulate and analyse temporal data, such as filling in time gaps,
aggregating over calendar periods, performing rolling window calculations,
and etc.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>),
Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>),
Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>),
Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>)
Maintainer: Earo Wang <earo.wang@gmail.com>
Diff between tsibble versions 0.8.2 dated 2019-06-10 and 0.8.3 dated 2019-07-29
tsibble-0.8.2/tsibble/R/RcppExports.R |only tsibble-0.8.2/tsibble/src |only tsibble-0.8.2/tsibble/tests/testthat/test-index-fun.R |only tsibble-0.8.3/tsibble/DESCRIPTION | 30 - tsibble-0.8.3/tsibble/MD5 | 210 ++++---- tsibble-0.8.3/tsibble/NAMESPACE | 35 + tsibble-0.8.3/tsibble/NEWS.md | 7 tsibble-0.8.3/tsibble/R/as-tsibble.R | 160 +++--- tsibble-0.8.3/tsibble/R/bind.R | 6 tsibble-0.8.3/tsibble/R/compat-lifecycle.R |only tsibble-0.8.3/tsibble/R/data.R | 22 tsibble-0.8.3/tsibble/R/deprecated.R | 49 - tsibble-0.8.3/tsibble/R/dplyr-groups.R | 20 tsibble-0.8.3/tsibble/R/dplyr-join.R | 20 tsibble-0.8.3/tsibble/R/dplyr-verbs.R | 62 +- tsibble-0.8.3/tsibble/R/error.R | 5 tsibble-0.8.3/tsibble/R/filter-index.R | 89 +-- tsibble-0.8.3/tsibble/R/gaps.R | 92 ++- tsibble-0.8.3/tsibble/R/holiday.R | 163 +++--- tsibble-0.8.3/tsibble/R/index-by.R | 60 +- tsibble-0.8.3/tsibble/R/index-valid.R | 10 tsibble-0.8.3/tsibble/R/interval.R | 90 +-- tsibble-0.8.3/tsibble/R/new-data.R | 17 tsibble-0.8.3/tsibble/R/period.R | 246 ++++++---- tsibble-0.8.3/tsibble/R/slide.R | 232 +++++---- tsibble-0.8.3/tsibble/R/stretch.R | 101 ++-- tsibble-0.8.3/tsibble/R/subset.R | 14 tsibble-0.8.3/tsibble/R/tidyr-verbs.R | 84 ++- tsibble-0.8.3/tsibble/R/tile.R | 41 + tsibble-0.8.3/tsibble/R/time-wise.R | 26 - tsibble-0.8.3/tsibble/R/ts2tsibble.R | 31 - tsibble-0.8.3/tsibble/R/tsibble-meta.R | 5 tsibble-0.8.3/tsibble/R/tsibble-package.R | 42 - tsibble-0.8.3/tsibble/R/tsibble2ts.R | 57 +- tsibble-0.8.3/tsibble/R/update.R | 37 - tsibble-0.8.3/tsibble/R/utils.R | 7 tsibble-0.8.3/tsibble/README.md | 75 +-- tsibble-0.8.3/tsibble/build/tsibble.pdf |only tsibble-0.8.3/tsibble/inst/WORDLIST | 3 tsibble-0.8.3/tsibble/inst/doc/faq.Rmd | 6 tsibble-0.8.3/tsibble/inst/doc/faq.html | 12 tsibble-0.8.3/tsibble/inst/doc/implicit-na.html | 8 tsibble-0.8.3/tsibble/inst/doc/intro-tsibble.html | 6 tsibble-0.8.3/tsibble/inst/doc/window.html | 6 tsibble-0.8.3/tsibble/man/as-tsibble.Rd | 2 tsibble-0.8.3/tsibble/man/build_tsibble.Rd | 4 tsibble-0.8.3/tsibble/man/build_tsibble_meta.Rd | 2 tsibble-0.8.3/tsibble/man/count_gaps.Rd | 4 tsibble-0.8.3/tsibble/man/deprecated.Rd | 3 tsibble-0.8.3/tsibble/man/difference.Rd | 4 tsibble-0.8.3/tsibble/man/duplicates.Rd | 1 tsibble-0.8.3/tsibble/man/figures/lifecycle-archived.svg |only tsibble-0.8.3/tsibble/man/figures/lifecycle-defunct.svg |only tsibble-0.8.3/tsibble/man/figures/lifecycle-deprecated.svg |only tsibble-0.8.3/tsibble/man/figures/lifecycle-experimental.svg |only tsibble-0.8.3/tsibble/man/figures/lifecycle-maturing.svg |only tsibble-0.8.3/tsibble/man/figures/lifecycle-questioning.svg |only tsibble-0.8.3/tsibble/man/figures/lifecycle-soft-deprecated.svg |only tsibble-0.8.3/tsibble/man/figures/lifecycle-stable.svg |only tsibble-0.8.3/tsibble/man/fill_gaps.Rd | 6 tsibble-0.8.3/tsibble/man/filter_index.Rd | 12 tsibble-0.8.3/tsibble/man/future-slide.Rd | 1 tsibble-0.8.3/tsibble/man/group_by_key.Rd | 2 tsibble-0.8.3/tsibble/man/guess_frequency.Rd | 4 tsibble-0.8.3/tsibble/man/has_gaps.Rd | 2 tsibble-0.8.3/tsibble/man/index-by.Rd | 31 - tsibble-0.8.3/tsibble/man/index_valid.Rd | 2 tsibble-0.8.3/tsibble/man/interval-pull.Rd | 2 tsibble-0.8.3/tsibble/man/is-tsibble.Rd | 2 tsibble-0.8.3/tsibble/man/new-data.Rd | 4 tsibble-0.8.3/tsibble/man/new_tsibble.Rd | 2 tsibble-0.8.3/tsibble/man/pedestrian.Rd | 4 tsibble-0.8.3/tsibble/man/period.Rd | 3 tsibble-0.8.3/tsibble/man/scan_gaps.Rd | 2 tsibble-0.8.3/tsibble/man/slide.Rd | 4 tsibble-0.8.3/tsibble/man/slide2.Rd | 28 - tsibble-0.8.3/tsibble/man/slide_tsibble.Rd | 4 tsibble-0.8.3/tsibble/man/stretch.Rd | 4 tsibble-0.8.3/tsibble/man/stretch2.Rd | 8 tsibble-0.8.3/tsibble/man/stretch_tsibble.Rd | 2 tsibble-0.8.3/tsibble/man/tile.Rd | 4 tsibble-0.8.3/tsibble/man/tile2.Rd | 8 tsibble-0.8.3/tsibble/man/tile_tsibble.Rd | 4 tsibble-0.8.3/tsibble/man/time_in.Rd | 10 tsibble-0.8.3/tsibble/man/tourism.Rd | 4 tsibble-0.8.3/tsibble/man/tsibble-package.Rd | 4 tsibble-0.8.3/tsibble/man/tsibble-tidyverse.Rd | 10 tsibble-0.8.3/tsibble/man/tsibble.Rd | 6 tsibble-0.8.3/tsibble/man/units_since.Rd | 2 tsibble-0.8.3/tsibble/man/unnest_tsibble.Rd | 2 tsibble-0.8.3/tsibble/man/update_tsibble.Rd | 8 tsibble-0.8.3/tsibble/tests/spelling.R | 3 tsibble-0.8.3/tsibble/tests/testthat/test-append.R | 3 tsibble-0.8.3/tsibble/tests/testthat/test-bind.R | 2 tsibble-0.8.3/tsibble/tests/testthat/test-dplyr.R | 20 tsibble-0.8.3/tsibble/tests/testthat/test-filter-index.R | 22 tsibble-0.8.3/tsibble/tests/testthat/test-gaps.R | 6 tsibble-0.8.3/tsibble/tests/testthat/test-holiday.R | 56 +- tsibble-0.8.3/tsibble/tests/testthat/test-indexby.R | 9 tsibble-0.8.3/tsibble/tests/testthat/test-join.R | 15 tsibble-0.8.3/tsibble/tests/testthat/test-period.R |only tsibble-0.8.3/tsibble/tests/testthat/test-pillar.R | 2 tsibble-0.8.3/tsibble/tests/testthat/test-slide.R | 20 tsibble-0.8.3/tsibble/tests/testthat/test-stretch.R | 12 tsibble-0.8.3/tsibble/tests/testthat/test-subset.R | 2 tsibble-0.8.3/tsibble/tests/testthat/test-tidyr.R | 4 tsibble-0.8.3/tsibble/tests/testthat/test-tile.R | 10 tsibble-0.8.3/tsibble/tests/testthat/test-timewise.R | 2 tsibble-0.8.3/tsibble/tests/testthat/test-ts2tsibble.R | 2 tsibble-0.8.3/tsibble/tests/testthat/test-tsibble.R | 61 +- tsibble-0.8.3/tsibble/tests/testthat/test-tsibble2ts.R | 32 - tsibble-0.8.3/tsibble/vignettes/faq.Rmd | 6 112 files changed, 1524 insertions(+), 1162 deletions(-)
Title: Relational Query Generator for Data Manipulation at Scale
Description: A piped query generator based on Edgar F. Codd's relational
algebra, and on production experience using 'SQL' and 'dplyr' at big data
scale. The design represents an attempt to make 'SQL' more teachable by
denoting composition by a sequential pipeline notation instead of nested
queries or functions. The implementation delivers reliable high
performance data processing on large data systems such as 'Spark',
databases, and 'data.table'. Package features include: data processing trees
or pipelines as observable objects (able to report both columns
produced and columns used), optimized 'SQL' generation as an explicit
user visible table modeling step, plus explicit query reasoning and checking.
Author: John Mount [aut, cre],
Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>
Diff between rquery versions 1.3.6 dated 2019-07-04 and 1.3.7 dated 2019-07-29
DESCRIPTION | 12 ++++++------ MD5 | 36 ++++++++++++++++++------------------ NEWS.md | 6 ++++++ R/join_controller.R | 3 +++ R/lookup_by_column.R | 3 ++- R/materialize.R | 18 ++++++++++-------- R/non_sql_node.R | 2 +- R/quantile.R | 3 ++- R/rsummary.R | 3 ++- README.md | 18 +++++++++--------- inst/doc/AssigmentPartitioner.html | 4 ++-- inst/doc/Parameterized_rquery.html | 4 ++-- inst/doc/PipeableSQL.html | 4 ++-- inst/doc/QueryGeneration.html | 4 ++-- inst/doc/R_mapping.html | 4 ++-- inst/doc/rquery_intro.html | 4 ++-- inst/doc/rquery_substitution.html | 4 ++-- inst/doc/sql_quoting.html | 4 ++-- man/non_sql_node.Rd | 2 +- 19 files changed, 76 insertions(+), 62 deletions(-)
Title: An Easy Way to Report ROC Analysis
Description: Provides an easy way to report the results of ROC analysis, including:
1. an ROC curve. 2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy),
SEN (sensitivity), SPE (specificity),
PLR (positive likelihood ratio), NLR (negative likelihood ratio),
PPV (positive predictive value), NPV (negative predictive value).
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Diff between reportROC versions 3.3 dated 2019-04-08 and 3.4 dated 2019-07-29
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/reportROC.R | 10 +++++----- man/reportROC.Rd | 6 +++++- 4 files changed, 16 insertions(+), 12 deletions(-)
Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Description: Contains functions to perform Bayesian inference
using a spectral analysis of Gaussian process priors.
Gaussian processes are represented with a Fourier series
based on cosine basis functions. Currently the package
includes parametric linear models, partial linear additive
models with/without shape restrictions, generalized linear
additive models with/without shape restrictions, and
density estimation model. To maximize computational
efficiency, the actual Markov chain Monte Carlo sampling
for each model is done using codes written in FORTRAN 90.
This software has been developed using funding supported by
Basic Science Research Program through the National Research
Foundation of Korea (NRF) funded by the Ministry of Education
(no. NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).
Author: Seongil Jo [aut, cre],
Taeryon Choi [aut],
Beomjo Park [aut, cre],
Peter J. Lenk [ctb]
Maintainer: Beomjo Park <beomjop@andrew.cmu.edu>
Diff between bsamGP versions 1.2.1 dated 2018-06-15 and 1.2.2 dated 2019-07-29
DESCRIPTION | 10 MD5 | 203 +-- NAMESPACE | 124 +- R/blq.R | 280 ++-- R/blr.R | 244 ++-- R/bsad.R | 616 +++++----- R/bsaq.R | 830 +++++++------- R/bsaqdpm.R | 520 ++++----- R/bsarBig.R | 234 ++-- R/bsardpm.R | 612 +++++----- R/fitted.blm.R | 100 - R/fitted.bsad.R | 142 +- R/fitted.bsam.R | 186 +-- R/fitted.bsamdpm.R | 214 +-- R/gblr.R | 428 +++---- R/gbsar.R | 858 +++++++-------- R/hidden.R | 222 +-- R/intgrat.R | 16 R/intsim.R | 26 R/plot.blm.R | 76 - R/plot.bsad.R | 68 - R/plot.bsamdpm.R | 128 +- R/plot.fitted.bsam.R | 112 + R/plot.fitted.bsamdpm.R | 12 R/predict.blm.R | 130 +- R/predict.bsamdpm.R | 256 ++-- R/print.blm.R | 116 +- R/print.bsad.R | 82 - R/print.bsam.R | 490 ++++---- R/print.bsamdpm.R | 82 - R/print.summary.blm.R | 90 - R/print.summary.bsad.R | 246 ++-- R/print.summary.bsam.R | 388 +++--- R/print.summary.bsamdpm.R | 300 ++--- R/rald.R | 30 R/summary.blm.R | 72 - R/summary.bsad.R | 98 - R/summary.bsam.R | 126 +- R/summary.bsamdpm.R | 96 - README.md | 3 inst |only man/Elec.Demand.Rd | 80 - man/London.Mortality.Rd | 88 - man/blq.Rd | 240 ++-- man/blr.Rd | 200 +-- man/bsad.Rd | 344 +++--- man/bsaq.Rd | 5 man/bsaqdpm.Rd | 439 +++---- man/bsar.Rd | 3 man/bsarBig.Rd | 194 +-- man/bsardpm.Rd | 421 +++---- man/fitted.blm.Rd | 98 - man/fitted.bsad.Rd | 96 - man/fitted.bsam.Rd | 98 - man/fitted.bsamdpm.Rd | 100 - man/fs.Rd | 48 man/gblr.Rd | 282 ++-- man/gbsar.Rd | 573 +++++----- man/intgrat.Rd | 46 man/intsim.Rd | 42 man/plasma.Rd | 94 - man/plot.blm.Rd | 50 man/plot.bsad.Rd | 48 man/plot.bsam.Rd | 48 man/plot.bsamdpm.Rd | 48 man/plot.fitted.bsad.Rd | 52 man/plot.fitted.bsam.Rd | 53 man/plot.fitted.bsamdpm.Rd | 52 man/predict.blm.Rd | 138 +- man/predict.bsam.Rd | 156 +- man/predict.bsamdpm.Rd | 144 +- man/traffic.Rd | 70 - man/wage.union.Rd | 82 - src/ToolsRfunf.f90 | 1658 ++++++++++++++--------------- src/blreg.f90 | 38 src/bqreg.f90 | 288 ++--- src/bqreggetlogg.f90 | 64 - src/bsad.f90 | 1540 +++++++++++++-------------- src/bsamTools.f90 | 1688 ++++++++++++++--------------- src/bsaqam.f90 | 2174 +++++++++++++++++++------------------- src/bsaqamdpscale.f90 | 2230 +++++++++++++++++++-------------------- src/bsaram.f90 | 2124 ++++++++++++++++++------------------- src/bsaramdplocationscale.f90 | 2384 +++++++++++++++++++++--------------------- src/bsaramdpscale.f90 | 2166 +++++++++++++++++++------------------- src/bsaramgetlogg.f90 | 194 +-- src/bsarbig.f90 | 434 +++---- src/gbglmgetlogg.f90 | 60 - src/gblogitKS.f90 | 240 ++-- src/gblogitMH.f90 | 282 ++-- src/gbnegbinMH.f90 | 364 +++--- src/gbpoisMH.f90 | 244 ++-- src/gbpoisgammMH.f90 | 464 ++++---- src/gbprobitAC.f90 | 216 +-- src/gbsamTools.f90 | 1616 ++++++++++++++-------------- src/gbsaramgetlogg.f90 | 162 +- src/gbsarlogitKS.f90 | 1756 +++++++++++++++--------------- src/gbsarlogitMH.f90 | 1834 ++++++++++++++++---------------- src/gbsarnegbinMH.f90 | 1920 ++++++++++++++++----------------- src/gbsarpoisMH.f90 | 1846 ++++++++++++++++---------------- src/gbsarpoisgammMH.f90 | 1982 +++++++++++++++++----------------- src/gbsarprobitAC.f90 | 1736 +++++++++++++++--------------- src/predictbsam.f90 | 404 +++---- src/predictgbsam.f90 | 262 ++-- 103 files changed, 22852 insertions(+), 22816 deletions(-)
Title: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Description: Text mining for word processing and sentiment analysis using
'dplyr', 'ggplot2', and other tidy tools.
Author: Gabriela De Queiroz [ctb],
Emil Hvitfeldt [ctb],
Os Keyes [ctb] (<https://orcid.org/0000-0001-5196-609X>),
Kanishka Misra [ctb],
Tim Mastny [ctb],
Jeff Erickson [ctb],
David Robinson [aut],
Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>)
Maintainer: Julia Silge <julia.silge@gmail.com>
Diff between tidytext versions 0.2.1 dated 2019-06-14 and 0.2.2 dated 2019-07-29
DESCRIPTION | 6 - MD5 | 26 ++-- NEWS.md | 4 R/sentiments.R | 24 +++- README.md | 30 ++--- inst/doc/tf_idf.html | 12 +- inst/doc/tidying_casting.html | 20 ++- inst/doc/tidytext.html | 18 +-- inst/doc/topic_modeling.html | 14 +- man/figures |only man/get_sentiments.Rd | 5 tests/figs/deps.txt | 2 tests/figs/reorder-within/reordered-boxplot.svg | 144 ++++++++++++------------ 13 files changed, 172 insertions(+), 133 deletions(-)
Title: Calculating Concentration Risk under Solvency II
Description: Methods for determining spatial risk, in particular calculating the maximum value of insured fire risk policies of all buildings that are partly or fully located within circle of a radius of 200m.
Author: Martin Haringa
Maintainer: Martin Haringa <mtharinga@gmail.com>
Diff between spatialrisk versions 0.6.1 dated 2019-04-30 and 0.6.2 dated 2019-07-29
DESCRIPTION | 8 ++++---- MD5 | 38 +++++++++++++++++++------------------- NEWS.md | 6 ++++++ R/map_tmap.R | 13 ++++++++----- R/nl_gemeente.R | 19 +++++++++++-------- data/nl_corop.rda |binary data/nl_gemeente.rda |binary data/nl_postcode1.rda |binary data/nl_postcode2.rda |binary data/nl_postcode3.rda |binary data/nl_postcode4.rda |binary data/nl_provincie.rda |binary man/choropleth_tmap.Rd | 9 ++++++--- man/nl_corop.Rd | 2 +- man/nl_gemeente.Rd | 4 ++-- man/nl_postcode1.Rd | 2 +- man/nl_postcode2.Rd | 2 +- man/nl_postcode3.Rd | 2 +- man/nl_postcode4.Rd | 5 ++++- man/nl_provincie.Rd | 2 +- 20 files changed, 65 insertions(+), 47 deletions(-)
Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi: 10.1002/9781119942283>.
Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <m.quartagno@ucl.ac.uk>
Diff between jomo versions 2.6-8 dated 2019-05-21 and 2.6-9 dated 2019-07-29
jomo-2.6-8/jomo/R/jomo-internal.R |only jomo-2.6-9/jomo/DESCRIPTION | 8 ++--- jomo-2.6-9/jomo/MD5 | 21 +++++++-------- jomo-2.6-9/jomo/R/jomo.clmm.MCMCchain.R | 23 +++++++++------- jomo-2.6-9/jomo/R/jomo.clmm.R | 22 ++++++++-------- jomo-2.6-9/jomo/R/jomo.glm.MCMCchain.R | 1 jomo-2.6-9/jomo/R/jomo.glmer.MCMCchain.R | 23 +++++++++------- jomo-2.6-9/jomo/R/jomo.glmer.R | 22 ++++++++-------- jomo-2.6-9/jomo/R/jomo.lm.MCMCchain.R | 1 jomo-2.6-9/jomo/R/jomo.lmer.MCMCchain.R | 23 +++++++++------- jomo-2.6-9/jomo/R/jomo.lmer.R | 42 ++++++++++++++++--------------- jomo-2.6-9/jomo/R/jomo.polr.MCMCchain.R | 1 12 files changed, 99 insertions(+), 88 deletions(-)
Title: Fast Adaptive Spectral Clustering for Single and Multi-View Data
Description: A self-tuning spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens local connections in the graph. It uses a tensor product graph data integration and diffusion procedure to integrate different data sources and reduce noise. 'Spectrum' uses either the eigengap or multimodality gap heuristics to determine the number of clusters. The method is sufficiently flexible so that a wide range of Gaussian and non-Gaussian structures can be clustered with automatic selection of K.
Author: Christopher R John, David Watson
Maintainer: Christopher R John <chris.r.john86@gmail.com>
Diff between Spectrum versions 0.6 dated 2019-05-28 and 0.7 dated 2019-07-29
DESCRIPTION | 8 ++--- MD5 | 20 +++++++------- R/data.R | 3 ++ R/spectrum.R | 2 - build/vignette.rds |binary inst/doc/Spectrum_vignette.R | 16 +++++------ inst/doc/Spectrum_vignette.Rmd | 56 ++++++++++++++++++++++------------------ inst/doc/Spectrum_vignette.pdf |binary man/Spectrum.Rd | 2 - man/brain.Rd | 3 ++ vignettes/Spectrum_vignette.Rmd | 56 ++++++++++++++++++++++------------------ 11 files changed, 92 insertions(+), 74 deletions(-)
Title: Implementation of 2D Correlation Analysis in R
Description: Implementation of two-dimensional (2D) correlation analysis based
on the Fourier-transformation approach described by Isao Noda (I. Noda
(1993) <DOI:10.1366/0003702934067694>). Additionally there are two plot
functions for the resulting correlation matrix: The first one creates
colored 2D plots, while the second one generates 3D plots.
Author: Robert Geitner [cre, aut],
Robby Fritzsch [aut],
Thomas Bocklitz [aut],
Juergen Popp [ctb, cph]
Maintainer: Robert Geitner <r.geitner@uu.nl>
Diff between corr2D versions 0.4.0 dated 2019-07-01 and 1.0.0 dated 2019-07-29
DESCRIPTION | 8 +- MD5 | 20 ++--- R/corr2d.R | 6 + R/corr2d_plot.R | 10 ++ build/vignette.rds |binary inst/CITATION | 35 +++++----- inst/doc/corr2D_-_Implementation_of_2D_Correlation_Analysis_in_R.pdf |binary man/corr2d.Rd | 3 man/is.corr2d.Rd | 3 man/plot_corr2d.Rd | 3 man/plot_corr2din3d.Rd | 3 11 files changed, 57 insertions(+), 34 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-07-27 0.2.15
2017-10-23 0.2.14
2016-08-21 0.2.13
2016-07-13 0.2.12
2016-02-01 0.2.10
2015-08-15 0.1.1
Title: Finds Roots, Extrema and Inflection Points of a Curve
Description: Implementation of Taylor Regression Estimator (TRE),
Tulip Extreme Finding Estimator (TEFE), Bell Extreme Finding Estimator (BEFE),
Integration Extreme Finding Estimator (IEFE) and
Integration Root Finding Estimator (IRFE) for roots, extrema and inflections of a curve .
Christopoulos, DT (2019) <doi:10.13140/RG.2.2.17158.32324> .
Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076> .
Christopoulos, DT (2016) <https://veltech.edu.in/wp-content/uploads/2016/04/Paper-04-2016.pdf> .
Christopoulos, DT (2014) <arXiv:1206.5478v2 [math.NA]> .
Author: Demetris T. Christopoulos
Maintainer: Demetris T. Christopoulos <dchristop@econ.uoa.gr>
Diff between RootsExtremaInflections versions 1.1 dated 2017-05-10 and 1.2.1 dated 2019-07-29
DESCRIPTION | 24 +++++++++++++----------- MD5 | 32 +++++++++++++++++++++++++------- NAMESPACE | 9 +++++---- NEWS.md |only R/classify_curve.R |only R/findextreme.R |only R/findmaxbell.R |only R/findmaxtulip.R |only R/findroot.R |only R/scan_curve.R |only R/scan_noisy_curve.R |only R/symextreme.R |only README.md |only man/RootsExtremaInflections-package.Rd | 21 ++++++++++++--------- man/classify_curve.Rd |only man/extremexi.Rd | 2 +- man/findextreme.Rd |only man/findmaxbell.Rd |only man/findmaxtulip.Rd |only man/findroot.Rd |only man/inflexi.Rd | 2 +- man/rootexinf.Rd | 2 +- man/rootxi.Rd | 2 +- man/scan_curve.Rd |only man/scan_noisy_curve.Rd |only man/symextreme.Rd |only 26 files changed, 59 insertions(+), 35 deletions(-)
More information about RootsExtremaInflections at CRAN
Permanent link
Title: Tools for Comparing Text Messages Across Time and Media
Description: A collection of tools for measuring the similarity of text messages and tracing the flow of messages over
time and across media.
Author: Kasper Welbers & Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>
Diff between RNewsflow versions 1.1.0 dated 2019-04-01 and 1.1.1 dated 2019-07-29
DESCRIPTION | 11 +-- MD5 | 48 +++++++------ NAMESPACE | 2 R/RcppExports.R | 12 +-- R/compare.r | 77 ++++++++++++++------- R/crossprod.r | 12 ++- R/dtm_functions.r | 23 ------ R/feature_preparation.r | 139 +++++++++++++++++++++++++++++++-------- R/util.r | 27 +++++-- R/window_comparison.r | 2 build/vignette.rds |binary inst/doc/RNewsflow.html | 10 +- man/create_queries.Rd | 20 +++-- man/documents.compare.Rd | 8 +- man/get_doc_terms.Rd |only man/get_overlap_terms.Rd |only man/hourdiff_range_thresholds.Rd | 6 + man/newsflow.compare.Rd | 12 ++- man/tcrossprod_sparse.Rd | 8 +- man/term_intersect.Rd | 7 + man/term_union.Rd | 7 + src/RcppExports.cpp | 26 +++---- src/combine_dtm_terms.cpp | 8 +- src/crossprod.cpp | 8 +- src/sim_measures.cpp | 31 ++++++-- src/sim_measures.h | 4 - 26 files changed, 337 insertions(+), 171 deletions(-)
Title: Graphic Devices Based on AGG
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance
2D drawing library. The 'ragg' package provides a set of graphic devices
based on AGG to use as alternative to the raster devices provided through
the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut]
(<https://orcid.org/0000-0002-5147-4711>),
Maxim Shemanarev [aut, cph] (Author of AGG),
Tony Juricic [ctb, cph] (Contributor to AGG),
Milan Marusinec [ctb, cph] (Contributor to AGG),
Spencer Garrett [ctb] (Contributor to AGG),
RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>
Diff between ragg versions 0.1.0 dated 2019-07-15 and 0.1.1 dated 2019-07-29
ragg-0.1.0/ragg/build |only ragg-0.1.0/ragg/inst |only ragg-0.1.0/ragg/src/Makevars |only ragg-0.1.0/ragg/vignettes |only ragg-0.1.1/ragg/DESCRIPTION | 12 -- ragg-0.1.1/ragg/MD5 | 30 ++--- ragg-0.1.1/ragg/NEWS.md | 9 + ragg-0.1.1/ragg/R/agg_dev.R | 10 - ragg-0.1.1/ragg/README.md | 6 - ragg-0.1.1/ragg/configure |only ragg-0.1.1/ragg/configure.win |only ragg-0.1.1/ragg/man/ragg-package.Rd | 5 ragg-0.1.1/ragg/src/AggDevice.h | 4 ragg-0.1.1/ragg/src/Makevars.in |only ragg-0.1.1/ragg/src/agg/include/agg_scanline_storage_aa.h | 72 +++++++------- ragg-0.1.1/ragg/src/fonts.h | 10 - ragg-0.1.1/ragg/tools/autobrew |only 17 files changed, 83 insertions(+), 75 deletions(-)
Title: Creates and Plots P-Value Functions, S-Value Functions,
Confidence Distributions and Confidence Densities
Description: Contains functions to compute and plot confidence distributions, confidence densities, p-value functions and s-value (surprisal) functions for several commonly used estimates. Instead of just calculating one p-value and one confidence interval, p-value functions display p-values and confidence intervals for many levels thereby allowing to gauge the compatibility of several parameter values with the data. These methods are discussed by Infanger D, Schmidt-Trucksäss A. (2019) <doi:10.1002/sim.8293>; Poole C. (1987) <doi:10.2105/AJPH.77.2.195>; Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>; Bender R, Berg G, Zeeb H. (2005) <doi:10.1002/bimj.200410104> ; Singh K, Xie M, Strawderman WE. (2007) <doi:10.1214/074921707000000102>; Rothman KJ, Greenland S, Lash TL. (2008, ISBN:9781451190052); Amrhein V, Trafimow D, Greenland S. (2019) <doi:10.1080/00031305.2018.1543137>; and Greenland S. (2019) <doi:10.1080/00031305.2018.1529625>.
Author: Denis Infanger [aut, cre] (<https://orcid.org/0000-0001-9028-7110>)
Maintainer: Denis Infanger <denis.infanger@unibas.ch>
Diff between pvaluefunctions versions 1.3.0 dated 2019-07-10 and 1.4.0 dated 2019-07-29
pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-corr_pearson-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-linreg_multiple_pval-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-linreg_multiple_sval-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-linreg_single_cdf-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-linreg_single_pval-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-logreg-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-prop-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-propdiff-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-propdiff_Wilson-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-propdiff_agresticaffo-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-ttest-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-variance-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-variance-2.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-variance_calcs-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/man/figures/README-variance_plot-1.png |only pvaluefunctions-1.3.0/pvaluefunctions/vignettes/pvaluefun.md |only pvaluefunctions-1.4.0/pvaluefunctions/DESCRIPTION | 6 pvaluefunctions-1.4.0/pvaluefunctions/MD5 | 39 pvaluefunctions-1.4.0/pvaluefunctions/NAMESPACE | 1 pvaluefunctions-1.4.0/pvaluefunctions/NEWS.md | 10 pvaluefunctions-1.4.0/pvaluefunctions/R/confidence_distributions.R | 387 ++++- pvaluefunctions-1.4.0/pvaluefunctions/README.md | 687 ---------- pvaluefunctions-1.4.0/pvaluefunctions/inst/doc/pvaluefun.R | 84 + pvaluefunctions-1.4.0/pvaluefunctions/inst/doc/pvaluefun.Rmd | 99 + pvaluefunctions-1.4.0/pvaluefunctions/inst/doc/pvaluefun.html | 192 ++ pvaluefunctions-1.4.0/pvaluefunctions/man/conf_dist.Rd | 122 + pvaluefunctions-1.4.0/pvaluefunctions/man/figures/README-benderfig1-1.png |only pvaluefunctions-1.4.0/pvaluefunctions/man/figures/README-ttest_pval-1.png |only pvaluefunctions-1.4.0/pvaluefunctions/man/figures/README-ttest_sval-1.png |only pvaluefunctions-1.4.0/pvaluefunctions/vignettes/pvaluefun.Rmd | 99 + 30 files changed, 875 insertions(+), 851 deletions(-)
More information about pvaluefunctions at CRAN
Permanent link
Title: Gaussian Parsimonious Clustering Models with Covariates and a
Noise Component
Description: Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2018) <arXiv:1711.05632v2>. This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion of an additional noise component is also facilitated. A greedy forward stepwise search algorithm is provided for identifying the optimal model in terms of the number of components, the GPCM covariance parameterisation, and the subsets of gating/expert network covariates.
Author: Keefe Murphy [aut, cre],
Thomas Brendan Murphy [ctb]
Maintainer: Keefe Murphy <keefe.murphy@ucd.ie>
Diff between MoEClust versions 1.2.2 dated 2019-05-15 and 1.2.3 dated 2019-07-29
DESCRIPTION | 12 MD5 | 51 ++-- NAMESPACE | 1 R/Functions.R | 599 +++++++++++++++++++++++++++++++++++++----------- R/MoEClust.R | 48 ++- R/Plotting_Functions.R | 180 ++++++++------ R/data.R | 7 README.md | 12 build/vignette.rds |binary inst/CITATION | 6 inst/NEWS.md | 23 + inst/doc/MoEClust.R | 33 +- inst/doc/MoEClust.Rmd | 59 +++- inst/doc/MoEClust.html | 122 +++++---- man/CO2data.Rd | 5 man/MoEClust-package.Rd | 46 ++- man/MoE_clust.Rd | 27 +- man/MoE_compare.Rd | 36 ++ man/MoE_control.Rd | 26 +- man/MoE_gpairs.Rd | 39 +-- man/MoE_stepwise.Rd |only man/ais.Rd | 3 man/expert_covar.Rd | 2 man/noise_vol.Rd | 2 man/plot.MoEClust.Rd | 8 man/predict.MoEClust.Rd | 20 - vignettes/MoEClust.Rmd | 59 +++- 27 files changed, 1011 insertions(+), 415 deletions(-)
Title: Semi-Supervised Model for Geographical Document Classification
Description: Semi-supervised model for geographical document classification (Watanabe 2018) <doi:10.1080/21670811.2017.1293487>.
This package currently contains seed dictionaries in English, German, French, Spanish, Japanese, Russian and Chinese (Simplified and Traditional).
Author: Kohei Watanabe [aut, cre, cph],
Stefan Müller [aut],
Dani Madrid-Morales [aut],
Katerina Tertytchnaya [aut],
Ke Cheng [aut],
Chung-hong Chan [aut],
Claude Grasland [aut],
Giuseppe Carteny [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>
Diff between newsmap versions 0.6.8 dated 2019-07-25 and 0.6.9 dated 2019-07-29
DESCRIPTION | 6 +++--- MD5 | 24 ++++++++++++------------ NEWS.md | 4 ++++ data/data_dictionary_newsmap_de.RData |binary data/data_dictionary_newsmap_en.RData |binary data/data_dictionary_newsmap_es.RData |binary data/data_dictionary_newsmap_fr.RData |binary data/data_dictionary_newsmap_it.RData |binary data/data_dictionary_newsmap_ja.RData |binary data/data_dictionary_newsmap_ru.RData |binary data/data_dictionary_newsmap_zh_cn.RData |binary data/data_dictionary_newsmap_zh_tw.RData |binary tests/testthat/test-data.R | 20 +++++++++++++------- 13 files changed, 32 insertions(+), 22 deletions(-)
Title: Curve Linear Regression via Dimension Reduction
Description: A new methodology for linear regression with both curve response
and curve regressors, which is described in Cho, Goude, Brossat and Yao
(2013) <doi:10.1080/01621459.2012.722900> and (2015)
<doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is
dimension reduction based on a singular value decomposition in a Hilbert
space, which reduces the curve regression problem to several scalar linear
regression problems.
Author: Amandine Pierrot
with contributions and/or help from Qiwei Yao, Haeran Cho, Yannig Goude and
Tony Aldon.
Maintainer: Amandine Pierrot <amandine.m.pierrot@gmail.com>
Diff between clr versions 0.1.1 dated 2019-01-11 and 0.1.2 dated 2019-07-29
clr-0.1.1/clr/data/clust_test.RData |only clr-0.1.1/clr/data/clust_train.RData |only clr-0.1.1/clr/data/gb_load.RData |only clr-0.1.2/clr/DESCRIPTION | 6 +++--- clr-0.1.2/clr/MD5 | 13 +++++-------- clr-0.1.2/clr/NEWS.md | 5 ++--- clr-0.1.2/clr/data/clust_test.rda |binary clr-0.1.2/clr/data/clust_train.rda |binary clr-0.1.2/clr/data/gb_load.rda |binary 9 files changed, 10 insertions(+), 14 deletions(-)
Title: Parse XML
Description: Work with XML files using a simple, consistent
interface. Built on top of the 'libxml2' C library.
Author: Hadley Wickham [aut],
Jim Hester [aut, cre],
Jeroen Ooms [aut],
RStudio [cph],
R Foundation [ctb] (Copy of R-project homepage cached as example)
Maintainer: Jim Hester <jim.hester@rstudio.com>
Diff between xml2 versions 1.2.0 dated 2018-01-24 and 1.2.1 dated 2019-07-29
DESCRIPTION | 61 ++++++++------ MD5 | 110 ++++++++++++++------------- NAMESPACE | 1 NEWS.md | 47 +++++++++++ R/RcppExports.R | 4 R/S4.R |only R/as_list.R | 12 +- R/classes.R | 21 +++-- R/utils.R | 4 R/xml_attr.R | 28 ++++-- R/xml_children.R | 14 +-- R/xml_find.R | 24 ++--- R/xml_modify.R | 38 ++++----- R/xml_name.R | 12 +- R/xml_namespaces.R | 6 - R/xml_parse.R | 50 ++++++++++-- R/xml_serialize.R | 2 R/xml_structure.R | 39 +++++---- R/xml_text.R | 6 - R/xml_url.R | 4 R/xml_write.R | 4 build/vignette.rds |binary build/xml2.pdf |binary configure | 52 ++++++------ inst/doc/modification.html | 89 ++++++++++++++------- man/as_list.Rd | 20 ++-- man/download_xml.Rd | 7 + man/read_xml.Rd | 42 +++++++--- man/url_parse.Rd | 2 man/xml_attr.Rd | 16 +-- man/xml_children.Rd | 8 - man/xml_find_all.Rd | 28 +++--- man/xml_name.Rd | 8 - man/xml_ns.Rd | 2 man/xml_serialize.Rd | 2 man/xml_structure.Rd | 12 ++ man/xml_url.Rd | 4 src/Makevars.in | 2 src/Makevars.win | 8 + src/RcppExports.cpp | 12 ++ src/connection.h |only src/xml2_doc.cpp | 5 + src/xml2_init.cpp | 17 +++- src/xml2_namespace.cpp | 4 src/xml2_node.cpp | 10 ++ src/xml2_output.cpp | 31 ------- tests/testthat/helper.R |only tests/testthat/output/print-xml_document.txt | 2 tests/testthat/output/print-xml_node.txt | 2 tests/testthat/records.dtd |only tests/testthat/records.xml |only tests/testthat/test-modify-xml.R | 7 + tests/testthat/test-read-xml.R | 30 +++++++ tests/testthat/test-url.R | 15 ++- tests/testthat/test-xml_attrs.R | 14 +++ tests/testthat/test-xml_find.R | 12 ++ tests/testthat/test-xml_parse.R |only tests/testthat/test-xml_structure.R | 17 ++++ tools/winlibs.R | 7 - 59 files changed, 635 insertions(+), 339 deletions(-)
Title: Sound Analysis and Synthesis
Description: Functions for analysing, manipulating, displaying, editing and synthesizing time waves (particularly sound). This package processes time analysis (oscillograms and envelopes), spectral content, resonance quality factor, entropy, cross correlation and autocorrelation, zero-crossing, dominant frequency, analytic signal, frequency coherence, 2D and 3D spectrograms and many other analyses.
Author: Jerome Sueur <sueur@mnhn.fr> [cre, au], Thierry Aubin [au],
Caroline Simonis [au], Laurent Lellouch [main ctrb],
Ethan C. Brown [ctrb], Marion Depraetere [ctrb],
Camille Desjonqueres [ctrb], Francois Fabianek [ctrb],
Amandine Gasc [ctrb], Eric Kasten [ctrb], Stefanie LaZerte [ctrb], Jonathan Lees [ctrb],
Jean Marchal [ctrb], Andre Mikulec [ctrb], Sandrine Pavoine [ctrb], David Pinaud [ctrb], Alicia Stotz [ctrb],
Luis J. Villanueva-Rivera [ctrb], Zev Ross [ctrb],
Carl G. Witthoft [ctrb], Hristo Zhivomirov [ctrb].
Maintainer: Jerome Sueur <sueur@mnhn.fr>
Diff between seewave versions 2.1.3 dated 2019-03-30 and 2.1.4 dated 2019-07-29
DESCRIPTION | 8 MD5 | 153 ++++++++-------- NEWS | 15 + R/seewave.r | 385 +++++++++++++++++++++++++++++------------- build/vignette.rds |binary inst/doc/seewave_IO.pdf |binary inst/doc/seewave_analysis.pdf |binary man/ACI.Rd | 8 man/AR.Rd | 2 man/H.Rd | 6 man/M.Rd | 6 man/TKEO.Rd | 6 man/acoustat.Rd | 6 man/addsilw.Rd | 6 man/afilter.Rd | 6 man/ama.Rd | 6 man/autoc.Rd | 6 man/bwfilter.Rd | 6 man/ccoh.Rd | 4 man/ceps.Rd | 3 man/cepstro.Rd | 6 man/coh.Rd | 7 man/combfilter.Rd | 5 man/corenv.Rd | 4 man/covspectro.Rd | 7 man/crest.Rd | 3 man/csh.Rd | 7 man/cutw.Rd | 3 man/deletew.Rd | 6 man/dfreq.Rd | 6 man/diffenv.Rd | 7 man/diffwave.Rd | 5 man/drawenv.Rd | 3 man/duration.Rd | 3 man/dynoscillo.Rd | 6 man/dynspec.Rd | 6 man/dynspectro.Rd | 6 man/echo.Rd | 6 man/env.Rd | 6 man/export.Rd | 6 man/fadew.Rd | 3 man/ffilter.Rd | 6 man/fir.Rd | 6 man/fma.Rd | 6 man/fund.Rd | 6 man/hilbert.Rd | 3 man/ifreq.Rd | 6 man/lfs.Rd | 7 man/listen.Rd | 6 man/lts.Rd | 11 - man/meanspec.Rd | 6 man/mutew.Rd | 6 man/oscillo.Rd | 6 man/pastew.Rd | 6 man/phaseplot.Rd | 3 man/phaseplot2.Rd | 6 man/preemphasis.Rd | 6 man/repw.Rd | 6 man/resamp.Rd | 3 man/revw.Rd | 6 man/rmam.Rd | 6 man/rmnoise.Rd | 6 man/rmoffset.Rd | 3 man/savewav.Rd | 6 man/seewave.package.Rd | 4 man/setenv.Rd | 7 man/smoothw.Rd | 3 man/songmeter.Rd | 7 man/songmeterdiag.Rd |only man/soundscapespec.Rd | 6 man/spec.Rd | 6 man/spectro.Rd | 3 man/spectro3D.Rd | 6 man/timer.Rd | 6 man/wf.Rd | 6 man/zapsilw.Rd | 6 man/zc.Rd | 6 man/zcr.Rd | 6 78 files changed, 624 insertions(+), 323 deletions(-)
Title: Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots',
Slider Functions and Others
Description: Some functions for drawing some special plots:
The function 'bagplot' plots a bagplot,
'faces' plots chernoff faces,
'iconplot' plots a representation of a frequency table or a data matrix,
'plothulls' plots hulls of a bivariate data set,
'plotsummary' plots a graphical summary of a data set,
'puticon' adds icons to a plot,
'skyline.hist' combines several histograms of a one dimensional data set in one plot,
'slider' functions supports some interactive graphics,
'spin3R' helps an inspection of a 3-dim point cloud,
'stem.leaf' plots a stem and leaf plot,
'stem.leaf.backback' plots back-to-back versions of stem and leaf plot.
Author: Hans Peter Wolf [aut, cre]
Maintainer: Hans Peter Wolf <pwolf@wiwi.uni-bielefeld.de>
Diff between aplpack versions 1.3.2 dated 2018-06-12 and 1.3.3 dated 2019-07-29
DESCRIPTION | 12 +-- MD5 | 28 ++++---- R/bagplot.R | 15 +++- R/slider.R | 6 - R/spin3R.R | 2 R/stem.leaf.R | 22 ++++-- build/vignette.rds |binary inst/CITATION | 10 +-- inst/doc/ms.pdf |binary inst/doc/slider-make.pdf |binary inst/doc/sliderfns.pdf |binary inst/src/bagplot.rev | 28 +++++--- inst/src/ms.rev | 156 ++++++++++++++++++++++++++++++++++++++++++++--- inst/src/spin3Ra.rev | 4 - man/bagplot.Rd | 9 +- 15 files changed, 228 insertions(+), 64 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-03-18 0.2.2
2018-03-06 0.2.1
2017-11-17 0.1.6
2017-11-14 0.1.5
Title: Randomized Singular Value Decomposition
Description: Low-rank matrix decompositions are fundamental tools and widely used for data
analysis, dimension reduction, and data compression. Classically, highly accurate
deterministic matrix algorithms are used for this task. However, the emergence of
large-scale data has severely challenged our computational ability to analyze big data.
The concept of randomness has been demonstrated as an effective strategy to quickly produce
approximate answers to familiar problems such as the singular value decomposition (SVD).
The rsvd package provides several randomized matrix algorithms such as the randomized
singular value decomposition (rsvd), randomized principal component analysis (rpca),
randomized robust principal component analysis (rrpca), randomized interpolative
decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot
functions are provided. The methods are discussed in detail by Erichson et al. (2016) <arXiv:1608.02148>.
Author: N. Benjamin Erichson [aut, cre]
Maintainer: N. Benjamin Erichson <erichson@berkeley.edu>
Diff between rsvd versions 1.0.1 dated 2019-06-02 and 1.0.2 dated 2019-07-29
DESCRIPTION | 10 +++++----- MD5 | 26 +++++++++++++------------- R/rcur.R | 6 ++++-- R/rid.R | 6 ++++-- R/rpca.R | 7 ++++++- R/rqb.R | 6 +++++- R/rrpca.R | 6 +++--- R/rsvd.R | 10 ++++++---- man/rcur.Rd | 4 +++- man/rid.Rd | 2 ++ man/rpca.Rd | 30 ++++++++++++++++-------------- man/rqb.Rd | 27 +++++++++++++++------------ man/rrpca.Rd | 11 ++++++----- man/rsvd.Rd | 4 +++- 14 files changed, 91 insertions(+), 64 deletions(-)
Title: Perform Pharmacokinetic Non-Compartmental Analysis
Description: Compute standard Non-Compartmental Analysis (NCA)
parameters and summarize them. In addition to this core work, it
also provides standardized plotting routines, basic assessments
for biocomparison or drug interaction, and model-based estimation
routines for calculating doses to reach specific values of AUC or
Cmax.
Author: Bill Denney [aut, cre] (<https://orcid.org/0000-0002-5759-428X>),
Clare Buckeridge [aut],
Sridhar Duvvuri [ctb]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Diff between PKNCA versions 0.8.5 dated 2018-06-13 and 0.9.1 dated 2019-07-29
PKNCA-0.8.5/PKNCA/man/formulaOrNames.Rd |only PKNCA-0.8.5/PKNCA/man/plot.PKNCAconc.Rd |only PKNCA-0.8.5/PKNCA/vignettes/Example-theophylline.html |only PKNCA-0.9.1/PKNCA/DESCRIPTION | 17 PKNCA-0.9.1/PKNCA/MD5 | 285 +- PKNCA-0.9.1/PKNCA/NAMESPACE | 7 PKNCA-0.9.1/PKNCA/NEWS.md | 35 PKNCA-0.9.1/PKNCA/R/001-add.interval.col.R | 8 PKNCA-0.9.1/PKNCA/R/002-pk.business.rules.R | 8 PKNCA-0.9.1/PKNCA/R/PKNCA.R | 3 PKNCA-0.9.1/PKNCA/R/PKNCA.options.R | 71 PKNCA-0.9.1/PKNCA/R/actual_time_calc.R |only PKNCA-0.9.1/PKNCA/R/auc.R | 71 PKNCA-0.9.1/PKNCA/R/aucint.R | 118 - PKNCA-0.9.1/PKNCA/R/check.intervals.R | 21 PKNCA-0.9.1/PKNCA/R/choose.intervals.R | 6 PKNCA-0.9.1/PKNCA/R/class-PKNCAconc.R | 49 PKNCA-0.9.1/PKNCA/R/class-PKNCAdata.R | 35 PKNCA-0.9.1/PKNCA/R/class-PKNCAdose.R | 2 PKNCA-0.9.1/PKNCA/R/class-PKNCAresults.R | 84 PKNCA-0.9.1/PKNCA/R/class-general.R | 40 PKNCA-0.9.1/PKNCA/R/cleaners.R | 3 PKNCA-0.9.1/PKNCA/R/exclude.R | 1 PKNCA-0.9.1/PKNCA/R/exclude_nca.R | 13 PKNCA-0.9.1/PKNCA/R/general.functions.R | 72 PKNCA-0.9.1/PKNCA/R/half.life.R | 184 + PKNCA-0.9.1/PKNCA/R/parseFormula.R | 17 PKNCA-0.9.1/PKNCA/R/pk.calc.all.R | 45 PKNCA-0.9.1/PKNCA/R/pk.calc.c0.R | 20 PKNCA-0.9.1/PKNCA/R/pk.calc.dn.R | 21 PKNCA-0.9.1/PKNCA/R/pk.calc.simple.R | 427 +++- PKNCA-0.9.1/PKNCA/R/pk.calc.urine.R | 43 PKNCA-0.9.1/PKNCA/R/tss.R | 3 PKNCA-0.9.1/PKNCA/R/tss.monoexponential.R | 2 PKNCA-0.9.1/PKNCA/R/tss.stepwise.linear.R | 2 PKNCA-0.9.1/PKNCA/README.md | 1 PKNCA-0.9.1/PKNCA/build/vignette.rds |binary PKNCA-0.9.1/PKNCA/inst/doc/AUC-Calculation-with-PKNCA.R | 25 PKNCA-0.9.1/PKNCA/inst/doc/AUC-Calculation-with-PKNCA.Rmd | 35 PKNCA-0.9.1/PKNCA/inst/doc/AUC-Calculation-with-PKNCA.html | 619 ++++-- PKNCA-0.9.1/PKNCA/inst/doc/Data-Cleaning-in-PKNCA.html | 302 ++- PKNCA-0.9.1/PKNCA/inst/doc/Example-theophylline.R |only PKNCA-0.9.1/PKNCA/inst/doc/Example-theophylline.Rmd |only PKNCA-0.9.1/PKNCA/inst/doc/Example-theophylline.html |only PKNCA-0.9.1/PKNCA/inst/doc/Introduction-and-Usage.R | 78 PKNCA-0.9.1/PKNCA/inst/doc/Introduction-and-Usage.Rmd | 81 PKNCA-0.9.1/PKNCA/inst/doc/Introduction-and-Usage.html | 567 ++++- PKNCA-0.9.1/PKNCA/inst/doc/Methods-for-Dose-Aware-Interpolation-and-Extrapolation.R | 18 PKNCA-0.9.1/PKNCA/inst/doc/Methods-for-Dose-Aware-Interpolation-and-Extrapolation.Rmd | 25 PKNCA-0.9.1/PKNCA/inst/doc/Methods-for-Dose-Aware-Interpolation-and-Extrapolation.html | 215 ++ PKNCA-0.9.1/PKNCA/inst/doc/Options-for-Controlling-PKNCA.Rmd | 7 PKNCA-0.9.1/PKNCA/inst/doc/Options-for-Controlling-PKNCA.html | 217 ++ PKNCA-0.9.1/PKNCA/inst/doc/PKNCA-validation.Rmd | 2 PKNCA-0.9.1/PKNCA/inst/doc/PKNCA-validation.html | 349 +++ PKNCA-0.9.1/PKNCA/inst/doc/Selection-of-Calculation-Intervals.R | 151 + PKNCA-0.9.1/PKNCA/inst/doc/Selection-of-Calculation-Intervals.Rmd | 163 + PKNCA-0.9.1/PKNCA/inst/doc/Selection-of-Calculation-Intervals.html | 964 +++++++++- PKNCA-0.9.1/PKNCA/inst/doc/Superposition.R | 63 PKNCA-0.9.1/PKNCA/inst/doc/Superposition.Rmd | 74 PKNCA-0.9.1/PKNCA/inst/doc/Superposition.html | 415 +++- PKNCA-0.9.1/PKNCA/inst/doc/Writing-Parameter-Functions.Rmd | 16 PKNCA-0.9.1/PKNCA/inst/doc/Writing-Parameter-Functions.html | 230 ++ PKNCA-0.9.1/PKNCA/man/PKNCA.choose.option.Rd | 4 PKNCA-0.9.1/PKNCA/man/PKNCA.options.Rd | 4 PKNCA-0.9.1/PKNCA/man/PKNCA.set.summary.Rd | 21 PKNCA-0.9.1/PKNCA/man/PKNCAconc.Rd | 15 PKNCA-0.9.1/PKNCA/man/PKNCAdata.Rd | 7 PKNCA-0.9.1/PKNCA/man/PKNCAdose.Rd | 4 PKNCA-0.9.1/PKNCA/man/PKNCAresults.Rd | 5 PKNCA-0.9.1/PKNCA/man/add.interval.col.Rd | 12 PKNCA-0.9.1/PKNCA/man/as.data.frame.PKNCAresults.Rd | 3 PKNCA-0.9.1/PKNCA/man/check.interval.deps.Rd | 7 PKNCA-0.9.1/PKNCA/man/check.interval.specification.Rd | 10 PKNCA-0.9.1/PKNCA/man/choose.auc.intervals.Rd | 13 PKNCA-0.9.1/PKNCA/man/clean.conc.blq.Rd | 3 PKNCA-0.9.1/PKNCA/man/clean.conc.na.Rd | 4 PKNCA-0.9.1/PKNCA/man/exclude.Rd | 4 PKNCA-0.9.1/PKNCA/man/exclude_nca.Rd | 4 PKNCA-0.9.1/PKNCA/man/find.tau.Rd | 7 PKNCA-0.9.1/PKNCA/man/findOperator.Rd | 5 PKNCA-0.9.1/PKNCA/man/formula.parseFormula.Rd | 9 PKNCA-0.9.1/PKNCA/man/geomean.Rd | 8 PKNCA-0.9.1/PKNCA/man/get.interval.cols.Rd | 11 PKNCA-0.9.1/PKNCA/man/get.parameter.deps.Rd | 8 PKNCA-0.9.1/PKNCA/man/getDataName.Rd | 5 PKNCA-0.9.1/PKNCA/man/getDepVar.Rd | 5 PKNCA-0.9.1/PKNCA/man/getGroups.PKNCAconc.Rd | 4 PKNCA-0.9.1/PKNCA/man/getIndepVar.Rd | 5 PKNCA-0.9.1/PKNCA/man/interp.extrap.conc.Rd | 14 PKNCA-0.9.1/PKNCA/man/parseFormula.Rd | 5 PKNCA-0.9.1/PKNCA/man/pk.calc.ae.Rd | 2 PKNCA-0.9.1/PKNCA/man/pk.calc.aucint.Rd | 47 PKNCA-0.9.1/PKNCA/man/pk.calc.aucpext.Rd | 3 PKNCA-0.9.1/PKNCA/man/pk.calc.auxc.Rd | 21 PKNCA-0.9.1/PKNCA/man/pk.calc.c0.Rd | 10 PKNCA-0.9.1/PKNCA/man/pk.calc.cav.Rd | 3 PKNCA-0.9.1/PKNCA/man/pk.calc.cl.Rd | 2 PKNCA-0.9.1/PKNCA/man/pk.calc.clr.Rd | 2 PKNCA-0.9.1/PKNCA/man/pk.calc.ctrough.Rd | 6 PKNCA-0.9.1/PKNCA/man/pk.calc.deg.fluc.Rd | 3 PKNCA-0.9.1/PKNCA/man/pk.calc.f.Rd | 3 PKNCA-0.9.1/PKNCA/man/pk.calc.fe.Rd | 2 PKNCA-0.9.1/PKNCA/man/pk.calc.half.life.Rd | 21 PKNCA-0.9.1/PKNCA/man/pk.calc.kel.Rd | 2 PKNCA-0.9.1/PKNCA/man/pk.calc.mrt.Rd | 12 PKNCA-0.9.1/PKNCA/man/pk.calc.mrt.md.Rd | 11 PKNCA-0.9.1/PKNCA/man/pk.calc.ptr.Rd | 9 PKNCA-0.9.1/PKNCA/man/pk.calc.swing.Rd | 3 PKNCA-0.9.1/PKNCA/man/pk.calc.thalf.eff.Rd | 3 PKNCA-0.9.1/PKNCA/man/pk.calc.vd.Rd | 2 PKNCA-0.9.1/PKNCA/man/pk.calc.vss.Rd | 3 PKNCA-0.9.1/PKNCA/man/pk.calc.vz.Rd | 3 PKNCA-0.9.1/PKNCA/man/pk.nca.Rd | 20 PKNCA-0.9.1/PKNCA/man/pk.nca.interval.Rd | 6 PKNCA-0.9.1/PKNCA/man/pk.tss.Rd | 8 PKNCA-0.9.1/PKNCA/man/pk.tss.data.prep.Rd | 5 PKNCA-0.9.1/PKNCA/man/pk.tss.monoexponential.Rd | 9 PKNCA-0.9.1/PKNCA/man/pk.tss.monoexponential.individual.Rd | 4 PKNCA-0.9.1/PKNCA/man/pk.tss.monoexponential.population.Rd | 4 PKNCA-0.9.1/PKNCA/man/pk.tss.stepwise.linear.Rd | 8 PKNCA-0.9.1/PKNCA/man/print.summary_PKNCAresults.Rd |only PKNCA-0.9.1/PKNCA/man/roundString.Rd | 10 PKNCA-0.9.1/PKNCA/man/setAttributeColumn.Rd | 4 PKNCA-0.9.1/PKNCA/man/signifString.Rd | 17 PKNCA-0.9.1/PKNCA/man/summary.PKNCAresults.Rd | 25 PKNCA-0.9.1/PKNCA/man/superposition.Rd | 8 PKNCA-0.9.1/PKNCA/tests/testthat/test-PKNCA.options.R | 196 +- PKNCA-0.9.1/PKNCA/tests/testthat/test-aucint.R | 36 PKNCA-0.9.1/PKNCA/tests/testthat/test-check.intervals.R | 10 PKNCA-0.9.1/PKNCA/tests/testthat/test-class-PKNCAdata.R | 84 PKNCA-0.9.1/PKNCA/tests/testthat/test-class-PKNCAresults.R | 340 ++- PKNCA-0.9.1/PKNCA/tests/testthat/test-class-general.R | 68 PKNCA-0.9.1/PKNCA/tests/testthat/test-exclude.R | 20 PKNCA-0.9.1/PKNCA/tests/testthat/test-general.functions.R | 68 PKNCA-0.9.1/PKNCA/tests/testthat/test-parseFormula.R | 8 PKNCA-0.9.1/PKNCA/tests/testthat/test-pk.calc.simple.R | 2 PKNCA-0.9.1/PKNCA/tests/testthat/test-provenance.R | 6 PKNCA-0.9.1/PKNCA/tests/testthat/test-superpostion.R | 30 PKNCA-0.9.1/PKNCA/tests/testthat/test-time.to.steady.state.R | 92 PKNCA-0.9.1/PKNCA/vignettes/AUC-Calculation-with-PKNCA.Rmd | 35 PKNCA-0.9.1/PKNCA/vignettes/Example-theophylline.Rmd |only PKNCA-0.9.1/PKNCA/vignettes/Introduction-and-Usage.Rmd | 81 PKNCA-0.9.1/PKNCA/vignettes/Methods-for-Dose-Aware-Interpolation-and-Extrapolation.Rmd | 25 PKNCA-0.9.1/PKNCA/vignettes/Options-for-Controlling-PKNCA.Rmd | 7 PKNCA-0.9.1/PKNCA/vignettes/PKNCA-validation.Rmd | 2 PKNCA-0.9.1/PKNCA/vignettes/Selection-of-Calculation-Intervals.Rmd | 163 + PKNCA-0.9.1/PKNCA/vignettes/Superposition.Rmd | 74 PKNCA-0.9.1/PKNCA/vignettes/Writing-Parameter-Functions.Rmd | 16 148 files changed, 6227 insertions(+), 1973 deletions(-)