Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-02-11 1.2.5
2018-02-04 1.2.2
2018-02-01 1.2.1
2016-07-30 1.2
2014-09-23 0.99
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-10-08 0.6
Title: SPatially aUTomatic deNoising for Ims toolKit
Description: A set of tools for the peak filtering of mass spectrometry
imaging data (MSI or IMS) based on spatial distribution of signal. Given a
region-of-interest (ROI), representing the spatial region where the informative
signal is expected to be localized, a series of filters determine which peak
signals are characterized by an implausible spatial distribution. The filters
reduce the dataset dimensionality and increase its information vs noise ratio,
improving the quality of the unsupervised analysis results, reducing data
dimensionality and simplifying the chemical interpretation.
Author: Paolo Inglese [aut, cre],
Goncalo Correia [aut, ctb]
Maintainer: Paolo Inglese <p.inglese@outlook.com>
Diff between SPUTNIK versions 1.3.3 dated 2021-05-17 and 1.4 dated 2021-10-18
SPUTNIK-1.3.3/SPUTNIK/README.md |only SPUTNIK-1.3.3/SPUTNIK/man/refAndROIimages.Rd |only SPUTNIK-1.4/SPUTNIK/DESCRIPTION | 11 SPUTNIK-1.4/SPUTNIK/MD5 | 62 ++- SPUTNIK-1.4/SPUTNIK/NAMESPACE | 17 - SPUTNIK-1.4/SPUTNIK/NEWS | 11 SPUTNIK-1.4/SPUTNIK/R/binary_refimg.R |only SPUTNIK-1.4/SPUTNIK/R/construct_funcs.R | 16 + SPUTNIK-1.4/SPUTNIK/R/continuous_refimg.R |only SPUTNIK-1.4/SPUTNIK/R/examples/filter_count.R | 9 SPUTNIK-1.4/SPUTNIK/R/examples/filter_global.R | 4 SPUTNIK-1.4/SPUTNIK/R/examples/graph_funcs.R | 6 SPUTNIK-1.4/SPUTNIK/R/examples/msImage_binOtsu.R | 2 SPUTNIK-1.4/SPUTNIK/R/examples/msImage_closeImage.R | 2 SPUTNIK-1.4/SPUTNIK/R/examples/msiDataset_binKmeans.R | 4 SPUTNIK-1.4/SPUTNIK/R/filter_csr.R | 138 ++++---- SPUTNIK-1.4/SPUTNIK/R/filter_global.R | 66 ++-- SPUTNIK-1.4/SPUTNIK/R/graph_funcs.R | 158 +--------- SPUTNIK-1.4/SPUTNIK/R/ms.image_class.R | 16 - SPUTNIK-1.4/SPUTNIK/R/ms.image_methods.R | 26 - SPUTNIK-1.4/SPUTNIK/R/msi.dataset_class.R | 14 SPUTNIK-1.4/SPUTNIK/R/msi.dataset_methods.R | 143 ++++++++- SPUTNIK-1.4/SPUTNIK/man/CSRPeaksFilter.Rd | 39 -- SPUTNIK-1.4/SPUTNIK/man/PCAImage-msi.dataset-method.Rd |only SPUTNIK-1.4/SPUTNIK/man/binKmeans-msi.dataset-method.Rd | 14 SPUTNIK-1.4/SPUTNIK/man/binOtsu-ms.image-method.Rd | 2 SPUTNIK-1.4/SPUTNIK/man/closeImage-ms.image-method.Rd | 2 SPUTNIK-1.4/SPUTNIK/man/countPixelsFilter.Rd | 9 SPUTNIK-1.4/SPUTNIK/man/globalPeaksFilter.Rd | 12 SPUTNIK-1.4/SPUTNIK/man/msi.dataset-class.Rd | 12 SPUTNIK-1.4/SPUTNIK/man/numDetectedMSI-msi.dataset-method.Rd |only SPUTNIK-1.4/SPUTNIK/man/plot.Rd | 3 SPUTNIK-1.4/SPUTNIK/man/refImageBinaryKmeans.Rd |only SPUTNIK-1.4/SPUTNIK/man/refImageBinaryKmeansMulti.Rd |only SPUTNIK-1.4/SPUTNIK/man/refImageBinaryOtsu.Rd |only SPUTNIK-1.4/SPUTNIK/man/refImageBinarySVM.Rd |only SPUTNIK-1.4/SPUTNIK/man/refImageContinuous.Rd |only SPUTNIK-1.4/SPUTNIK/man/totalIonCountMSI-msi.dataset-method.Rd |only 38 files changed, 426 insertions(+), 372 deletions(-)
Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features
like the condition system, and core 'Tidyverse' features like tidy
evaluation.
Author: Lionel Henry [aut, cre],
Hadley Wickham [aut],
mikefc [cph] (Hash implementation based on Mike's xxhashlite),
Yann Collet [cph] (Author of the embedded xxHash library),
RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>
Diff between rlang versions 0.4.11 dated 2021-04-30 and 0.4.12 dated 2021-10-18
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 5 +++++ README.md | 2 +- build/rlang.pdf |binary src/version.c | 2 +- tests/testthat/test-quo.R | 2 +- 7 files changed, 17 insertions(+), 12 deletions(-)
Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various
statistical models. Beyond computing p values, CIs, and other indices
for a wide variety of models (see list of supported models using the
function 'insight::supported_models()'), this package implements
features like bootstrapping or simulating of parameters and models,
feature reduction (feature extraction and variable selection) as well
as functions to describe data and variable characteristics (e.g.
skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>,
@strengejacke),
Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>,
@Dom_Makowski),
Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>),
Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>,
@patilindrajeets),
Søren Højsgaard [aut],
Brenton M. Wiernik [aut] (<https://orcid.org/0000-0001-9560-6336>,
@bmwiernik),
Zen J. Lau [ctb],
Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-1995-6531>,
@vincentab),
Jeffrey Girard [ctb] (<https://orcid.org/0000-0002-7359-3746>,
@jeffreymgirard),
Christina Maimone [rev],
Niels Ohlsen [rev] (@Niels_Bremen)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
Diff between parameters versions 0.14.0 dated 2021-05-29 and 0.15.0 dated 2021-10-18
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Title: Group Iterative Multiple Model Estimation
Description: Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Author: Stephanie Lane [aut, trl],
Kathleen Gates [aut, cre, ccp],
Zachary Fisher [aut],
Cara Arizmendi [aut],
Peter Molenaar [aut, ccp],
Michael Hallquist [ctb],
Hallie Pike [ctb],
Teague Henry [ctb],
Kelly Duffy [ctb],
Lan Luo [ctb],
Adriene Beltz [csp],
Aidan Wright [csp],
Jonathan Park [ctb],
Sebastian Castro Alvarez [ctb]
Maintainer: Kathleen M Gates <gateskm@email.unc.edu>
Diff between gimme versions 0.7-6 dated 2021-08-19 and 0.7-7 dated 2021-10-18
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Title: Tools to Create, Use, and Convert ecocomDP Data
Description: Work with the Ecological Community Data Design Pattern. 'ecocomDP'
is a flexible data model for harmonizing ecological community surveys, in a
research question agnostic format, from source data published across
repositories, and with methods that keep the derived data up-to-date as the
underlying sources change. Described in O'Brien et al. (2021),
<doi:10.1016/j.ecoinf.2021.101374>.
Author: Colin Smith [aut, cre, cph] (<https://orcid.org/0000-0003-2261-9931>),
Eric Sokol [aut] (<https://orcid.org/0000-0001-5923-0917>),
Margaret O'Brien [aut] (<https://orcid.org/0000-0002-1693-8322>),
Matt Bitters [ctb],
Melissa Chen [ctb],
Savannah Gonzales [ctb],
Matt Helmus [ctb],
Brendan Hobart [ctb],
Ruvi Jaimes [ctb],
Lara Janson [ctb],
Marta Jarzyna [ctb],
Michael Just [ctb],
Daijiang Li [ctb],
Wynne Moss [ctb],
Kari Norman [ctb],
Stephanie Parker [ctb],
Natalie Robinson [ctb],
Thilina Surasinghe [ctb],
Kyle Zollo-Venecek [ctb] (<https://orcid.org/0000-0002-1615-590X>)
Maintainer: Colin Smith <colin.smith@wisc.edu>
Diff between ecocomDP versions 1.1.0 dated 2021-07-31 and 1.2.0 dated 2021-10-18
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Title: Tools for Customer Lifetime Value Estimation
Description: A set of state-of-the-art probabilistic modeling approaches to derive estimates of individual customer lifetime values (CLV).
Commonly, probabilistic approaches focus on modelling 3 processes, i.e. individuals' attrition, transaction, and spending process.
Latent customer attrition models, which are also known as "buy-'til-you-die models", model the attrition as well as the transaction process.
They are used to make inferences and predictions about transactional patterns of individual customers such as their future purchase behavior.
Moreover, these models have also been used to predict individuals’ long-term engagement in activities such as playing an online game or
posting to a social media platform. The spending process is usually modelled by a separate probabilistic model. Combining these results yields in
lifetime values estimates for individual customers.
This package includes fast and accurate implementations of various probabilistic models for non-contractual settings
(e.g., grocery purchases or hotel visits). All implementations support time-invariant covariates, which can be used to control for e.g.,
socio-demographics. If such an extension has been proposed in literature, we further provide the possibility to control for time-varying
covariates to control for e.g., seasonal patterns.
Currently, the package includes the following latent attrition models to model individuals' attrition and transaction process:
[1] Pareto/NBD model (Pareto/Negative-Binomial-Distribution),
[2] the Extended Pareto/NBD model (Pareto/Negative-Binomial-Distribution with time-varying covariates),
[3] the BG/NBD model (Beta-Gamma/Negative-Binomial-Distribution) and the
[4] GGom/NBD (Gamma-Gompertz/Negative-Binomial-Distribution).
Further, we provide an implementation of the Gamma/Gamma model to model the spending process of individuals.
Author: Patrick Bachmann [cre, aut],
Niels Kuebler [aut],
Markus Meierer [aut],
Jeffrey Naef [aut],
Elliot Oblander [aut],
Patrik Schilter [aut]
Maintainer: Patrick Bachmann <patrick.bachmann@business.uzh.ch>
Diff between CLVTools versions 0.8.0 dated 2021-03-23 and 0.8.1 dated 2021-10-18
DESCRIPTION | 15 +++++++-------- MD5 | 14 +++++++------- NAMESPACE | 1 + NEWS.md | 7 +++++++ R/CLVTools.R | 1 + build/vignette.rds |binary inst/doc/CLVTools.pdf |binary src/RcppExports.cpp | 5 +++++ 8 files changed, 28 insertions(+), 15 deletions(-)
Title: R Interface to the A/B Street Transport System Simulation
Software
Description: Provides functions to convert origin-destination data,
represented as straight 'desire lines' in the 'sf' Simple Features
class system, into JSON files that can be directly imported into
A/B Street <https://www.abstreet.org>, a free and open source tool
for simulating urban transport systems and scenarios of change
<doi:10.1007/s10109-020-00342-2>.
Author: Nathanael Sheehan [aut, cre] (<https://orcid.org/0000-0002-2779-0976>),
Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>),
Trevor Nederlof [aut],
Lucas Dias [ctb],
Dustin Carlino [aut]
Maintainer: Nathanael Sheehan <nathanaelsheehan@gmail.com>
Diff between abstr versions 0.3.0 dated 2021-08-19 and 0.4.0 dated 2021-10-18
DESCRIPTION | 18 +- MD5 | 50 +++++-- NAMESPACE | 1 NEWS.md | 11 + R/ab_scenario.R | 159 ++++++++++++++++++---- R/sao_paulo_activity_df_20.R |only README.md | 127 ++++++++++++++---- build/vignette.rds |binary data/sao_paulo_activity_df_2.rda |only data/sao_paulo_activity_df_20.rda |only data/sao_paulo_activity_sf_2.rda |only data/sao_paulo_activity_sf_20.rda |only inst/doc/abstr.R | 161 +++++------------------ inst/doc/abstr.Rmd | 250 +++++++++++++----------------------- inst/doc/abstr.html | 245 ++++++++++++----------------------- inst/doc/activity.R |only inst/doc/activity.Rmd |only inst/doc/activity.html |only inst/doc/montlake.R |only inst/doc/montlake.Rmd |only inst/doc/montlake.html |only inst/doc/pct_to_abstr.R |only inst/doc/pct_to_abstr.Rmd |only inst/doc/pct_to_abstr.html |only inst/extdata |only man/ab_json.Rd | 24 ++- man/ab_sf.Rd |only man/figures/README-input-1.png |binary man/figures/README-outputplot-1.png |binary man/sao_paulo_activity_df_20.Rd |only man/sao_paulo_activity_sf_20.Rd |only vignettes/abstr.Rmd | 250 +++++++++++++----------------------- vignettes/activity.Rmd |only vignettes/montlake.Rmd |only vignettes/od-sketch.png |only vignettes/pct_to_abstr.Rmd |only 36 files changed, 632 insertions(+), 664 deletions(-)
Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>),
Wush Wu [ctb],
Daijiang Li [ctb],
Xianying Tan [ctb],
Salim Brüggemann [ctb] (<https://orcid.org/0000-0002-5329-5987>),
Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between xfun versions 0.26 dated 2021-09-14 and 0.27 dated 2021-10-18
xfun-0.26/xfun/tests/test-all.R |only xfun-0.26/xfun/tests/testit |only xfun-0.27/xfun/DESCRIPTION | 6 xfun-0.27/xfun/MD5 | 60 +++-- xfun-0.27/xfun/NAMESPACE | 5 xfun-0.27/xfun/NEWS.md | 10 xfun-0.27/xfun/R/cache.R | 2 xfun-0.27/xfun/R/command.R | 4 xfun-0.27/xfun/R/cran.R | 2 xfun-0.27/xfun/R/github.R |only xfun-0.27/xfun/R/io.R | 56 ++--- xfun-0.27/xfun/R/markdown.R | 3 xfun-0.27/xfun/R/packages.R | 12 - xfun-0.27/xfun/R/paths.R | 2 xfun-0.27/xfun/R/revcheck.R | 372 +++++++++++++++++++++++++++++----- xfun-0.27/xfun/inst/doc/xfun.html | 6 xfun-0.27/xfun/man/base_pkgs.Rd |only xfun-0.27/xfun/man/crandalf_check.Rd |only xfun-0.27/xfun/man/github_releases.Rd | 2 xfun-0.27/xfun/man/read_utf8.Rd | 16 + xfun-0.27/xfun/man/rev_check.Rd | 12 - xfun-0.27/xfun/tests/test-ci |only xfun-0.27/xfun/tests/test-ci.R |only xfun-0.27/xfun/tests/test-cran |only xfun-0.27/xfun/tests/test-cran.R |only 25 files changed, 447 insertions(+), 123 deletions(-)
Title: Langevin Analysis in One and Two Dimensions
Description: Estimate drift and diffusion functions from time series and
generate synthetic time series from given drift and diffusion coefficients.
Author: Philip Rinn [aut, cre],
Pedro G. Lind [aut],
David Bastine [ctb]
Maintainer: Philip Rinn <philip.rinn@uni-oldenburg.de>
Diff between Langevin versions 1.2.1 dated 2019-01-02 and 1.3.0 dated 2021-10-18
ChangeLog | 8 ++++ DESCRIPTION | 11 ++---- MD5 | 43 ++++++++++++------------- NAMESPACE | 1 R/Langevin-package.r | 3 + R/Langevin1D.r | 82 +++++++++++++++++++++++++++++++----------------- R/Langevin2D.r | 3 - R/print.Langevin.r | 4 +- R/summary.Langevin.r | 5 +- R/timeseries1D.r | 2 - R/timeseries2D.r | 2 - build/vignette.rds |binary inst/doc/Langevin.pdf |binary man/Langevin-package.Rd | 3 + man/Langevin1D.Rd | 81 +++++++++++++++++++++++++++++++---------------- man/Langevin2D.Rd | 14 ++++---- man/print.Langevin.Rd | 3 - man/summary.Langevin.Rd | 5 +- man/timeseries1D.Rd | 17 ++++++++- man/timeseries2D.Rd | 18 +++++++--- src/Makevars | 18 ++++------ src/RcppExports.cpp | 20 +++++++++++ src/kernel1D.cpp |only 23 files changed, 219 insertions(+), 124 deletions(-)
Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed
for formatting columns of data using the full range of colours
provided by modern terminals.
Author: Kirill Müller [aut, cre],
Hadley Wickham [aut],
RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Diff between pillar versions 1.6.3 dated 2021-09-26 and 1.6.4 dated 2021-10-18
pillar-1.6.3/pillar/inst/doc/digits.R |only pillar-1.6.4/pillar/DESCRIPTION | 6 pillar-1.6.4/pillar/MD5 | 49 +- pillar-1.6.4/pillar/NEWS.md | 17 pillar-1.6.4/pillar/R/multi.R | 47 -- pillar-1.6.4/pillar/R/num.R | 1 pillar-1.6.4/pillar/R/styles.R | 2 pillar-1.6.4/pillar/R/tbl-format.R | 40 - pillar-1.6.4/pillar/R/testthat.R | 1 pillar-1.6.4/pillar/build/vignette.rds |binary pillar-1.6.4/pillar/inst/doc/digits.Rmd | 131 ------ pillar-1.6.4/pillar/inst/doc/digits.html | 248 ----------- pillar-1.6.4/pillar/inst/doc/extending.html | 46 +- pillar-1.6.4/pillar/inst/doc/numbers.R | 437 ++++++++++++--------- pillar-1.6.4/pillar/inst/doc/numbers.Rmd | 140 ------ pillar-1.6.4/pillar/inst/doc/numbers.html | 369 ----------------- pillar-1.6.4/pillar/inst/doc/printing.html | 4 pillar-1.6.4/pillar/man/extra_cols.Rd | 3 pillar-1.6.4/pillar/man/format_tbl.Rd | 47 -- pillar-1.6.4/pillar/man/squeeze.Rd | 5 pillar-1.6.4/pillar/man/style_subtle.Rd | 2 pillar-1.6.4/pillar/tests/testthat/_snaps/multi.md | 222 ++++++---- pillar-1.6.4/pillar/tests/testthat/helper-output.R | 4 pillar-1.6.4/pillar/tests/testthat/test-multi.R | 6 pillar-1.6.4/pillar/vignettes/digits.Rmd | 131 ------ pillar-1.6.4/pillar/vignettes/numbers.Rmd | 140 ------ 26 files changed, 523 insertions(+), 1575 deletions(-)
Title: Analysis and Visualization of Macroevolutionary Dynamics on
Phylogenetic Trees
Description: Provides functions for analyzing and visualizing complex
macroevolutionary dynamics on phylogenetic trees. It is a companion
package to the command line program BAMM (Bayesian Analysis of
Macroevolutionary Mixtures) and is entirely oriented towards the analysis,
interpretation, and visualization of evolutionary rates. Functionality
includes visualization of rate shifts on phylogenies, estimating
evolutionary rates through time, comparing posterior distributions of
evolutionary rates across clades, comparing diversification models using
Bayes factors, and more.
Author: Dan Rabosky, Mike Grundler, Pascal Title, Carlos Anderson, Jeff Shi,
Joseph Brown, Huateng Huang, Jon Mitchell
Maintainer: Pascal Title <ptitle@umich.edu>
Diff between BAMMtools versions 2.1.7 dated 2019-12-05 and 2.1.8 dated 2021-10-18
BAMMtools-2.1.7/BAMMtools/man/plot.bammdata.Rd |only BAMMtools-2.1.8/BAMMtools/DESCRIPTION | 12 - BAMMtools-2.1.8/BAMMtools/MD5 | 92 +++++----- BAMMtools-2.1.8/BAMMtools/NAMESPACE | 3 BAMMtools-2.1.8/BAMMtools/R/BAMMtools-package.R | 2 BAMMtools-2.1.8/BAMMtools/R/credibleShiftSet.R | 2 BAMMtools-2.1.8/BAMMtools/R/dtRates.R | 2 BAMMtools-2.1.8/BAMMtools/R/generateControlFile.R | 2 BAMMtools-2.1.8/BAMMtools/R/getBranchShiftPriors.R | 2 BAMMtools-2.1.8/BAMMtools/R/getCladeRates.R | 2 BAMMtools-2.1.8/BAMMtools/R/getCohortMatrix.R | 2 BAMMtools-2.1.8/BAMMtools/R/getEventData.R | 8 BAMMtools-2.1.8/BAMMtools/R/getMeanBranchLengthTree.R | 2 BAMMtools-2.1.8/BAMMtools/R/getRateThroughTimeMatrix.R | 19 +- BAMMtools-2.1.8/BAMMtools/R/marginalShiftProbsTree.R | 2 BAMMtools-2.1.8/BAMMtools/R/plot.bammdata.R | 12 - BAMMtools-2.1.8/BAMMtools/R/plot.bammshifts.R | 5 BAMMtools-2.1.8/BAMMtools/R/plot.credibleshiftset.R | 5 BAMMtools-2.1.8/BAMMtools/R/plotRateThroughTime.R | 124 ++++++-------- BAMMtools-2.1.8/BAMMtools/R/ratesHistogram.R | 2 BAMMtools-2.1.8/BAMMtools/R/samplingProbs.R | 2 BAMMtools-2.1.8/BAMMtools/R/speciesByRatesMatrix.R | 2 BAMMtools-2.1.8/BAMMtools/R/stepBF.R | 2 BAMMtools-2.1.8/BAMMtools/R/summary.bammdata.R | 2 BAMMtools-2.1.8/BAMMtools/R/summary.credibleshiftset.R | 2 BAMMtools-2.1.8/BAMMtools/R/testTimeVariableBranches.R | 2 BAMMtools-2.1.8/BAMMtools/R/traitDependentBAMM.R | 6 BAMMtools-2.1.8/BAMMtools/man/BAMMtools.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/ShiftProbsTree.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/credibleShiftSet.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/dtRates.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/generateControlFile.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/getBranchShiftPriors.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/getCladeRates.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/getCohortMatrix.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/getMeanBranchLengthTree.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/plot.Rd |only BAMMtools-2.1.8/BAMMtools/man/plot.bammshifts.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/plot.credibleshiftset.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/plotRateThroughTime.Rd | 38 ++-- BAMMtools-2.1.8/BAMMtools/man/ratesHistogram.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/samplingProbs.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/speciesByRatesMatrix.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/stepBF.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/summary.bammdata.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/summary.credibleshiftset.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/testTimeVariableBranches.Rd | 2 BAMMtools-2.1.8/BAMMtools/man/traitDependentBAMM.Rd | 2 48 files changed, 198 insertions(+), 196 deletions(-)
Title: R Implementation of Wordpiece Tokenization
Description: Apply 'Wordpiece' (<arXiv:1609.08144>) tokenization to input text,
given an appropriate vocabulary. The 'BERT' (<arXiv:1810.04805>) tokenization
conventions are used by default.
Author: Jonathan Bratt [aut, cre] (<https://orcid.org/0000-0003-2859-0076>),
Jon Harmon [aut] (<https://orcid.org/0000-0003-4781-4346>),
Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]
Maintainer: Jonathan Bratt <jonathan.bratt@macmillan.com>
Diff between wordpiece versions 1.0.2 dated 2021-02-11 and 2.0.1 dated 2021-10-18
wordpiece-1.0.2/wordpiece/man/dot-apply_to_chars.Rd |only wordpiece-1.0.2/wordpiece/man/dot-clean_text.Rd |only wordpiece-1.0.2/wordpiece/man/dot-convert_to_unicode.Rd |only wordpiece-1.0.2/wordpiece/man/dot-is_chinese_char_cp.Rd |only wordpiece-1.0.2/wordpiece/man/dot-is_control.Rd |only wordpiece-1.0.2/wordpiece/man/dot-is_punctuation.Rd |only wordpiece-1.0.2/wordpiece/man/dot-is_whitespace.Rd |only wordpiece-1.0.2/wordpiece/man/dot-make_cache_filename.Rd |only wordpiece-1.0.2/wordpiece/man/dot-split_on_punc.Rd |only wordpiece-1.0.2/wordpiece/man/dot-strip_accents.Rd |only wordpiece-1.0.2/wordpiece/man/dot-tokenize_chinese_chars.Rd |only wordpiece-1.0.2/wordpiece/man/dot-tokenize_word.Rd |only wordpiece-1.0.2/wordpiece/man/dot-whitespace_tokenize.Rd |only wordpiece-1.0.2/wordpiece/man/get_cache_dir.Rd |only wordpiece-1.0.2/wordpiece/man/op-null-default.Rd |only wordpiece-2.0.1/wordpiece/DESCRIPTION | 20 wordpiece-2.0.1/wordpiece/MD5 | 59 - wordpiece-2.0.1/wordpiece/NAMESPACE | 7 wordpiece-2.0.1/wordpiece/NEWS.md | 7 wordpiece-2.0.1/wordpiece/R/imports.R |only wordpiece-2.0.1/wordpiece/R/tokenization.R | 229 ++-- wordpiece-2.0.1/wordpiece/R/utils.R | 497 ---------- wordpiece-2.0.1/wordpiece/R/vocab.R |only wordpiece-2.0.1/wordpiece/README.md | 57 - wordpiece-2.0.1/wordpiece/inst/doc/basic_usage.R | 20 wordpiece-2.0.1/wordpiece/inst/doc/basic_usage.Rmd | 92 + wordpiece-2.0.1/wordpiece/inst/doc/basic_usage.html | 70 + wordpiece-2.0.1/wordpiece/man/dot-infer_case_from_vocab.Rd | 2 wordpiece-2.0.1/wordpiece/man/dot-new_wordpiece_vocabulary.Rd | 2 wordpiece-2.0.1/wordpiece/man/dot-validate_wordpiece_vocabulary.Rd | 2 wordpiece-2.0.1/wordpiece/man/dot-wp_tokenize_single_string.Rd |only wordpiece-2.0.1/wordpiece/man/dot-wp_tokenize_word.Rd |only wordpiece-2.0.1/wordpiece/man/load_or_retrieve_vocab.Rd | 20 wordpiece-2.0.1/wordpiece/man/load_vocab.Rd | 2 wordpiece-2.0.1/wordpiece/man/prepare_vocab.Rd |only wordpiece-2.0.1/wordpiece/man/reexports.Rd |only wordpiece-2.0.1/wordpiece/man/set_wordpiece_cache_dir.Rd |only wordpiece-2.0.1/wordpiece/man/wordpiece_cache_dir.Rd |only wordpiece-2.0.1/wordpiece/man/wordpiece_tokenize.Rd | 25 wordpiece-2.0.1/wordpiece/tests/testthat/_snaps |only wordpiece-2.0.1/wordpiece/tests/testthat/test-tokenization.R | 124 -- wordpiece-2.0.1/wordpiece/tests/testthat/test-vocab.R |only wordpiece-2.0.1/wordpiece/vignettes/basic_usage.Rmd | 92 + 43 files changed, 450 insertions(+), 877 deletions(-)
Title: Efficient Estimation of the Causal Effects of Stochastic
Interventions
Description: Efficient estimation of the population-level causal effects of
stochastic interventions on a continuous-valued exposure. Both one-step and
targeted minimum loss estimators are implemented for the counterfactual mean
value of an outcome of interest under an additive modified treatment policy,
a stochastic intervention that may depend on the natural value of the
exposure. To accommodate settings with outcome-dependent two-phase
sampling, procedures incorporating inverse probability of censoring
weighting are provided to facilitate the construction of inefficient and
efficient one-step and targeted minimum loss estimators. The causal
parameter and its estimation were first described by Díaz and van der Laan
(2013) <doi:10.1111/j.1541-0420.2011.01685.x>, while the multiply robust
estimation procedure and its application to data from two-phase sampling
designs is detailed in NS Hejazi, MJ van der Laan, HE Janes, PB Gilbert,
and DC Benkeser (2020) <doi:10.1111/biom.13375>. The software package
implementation is described in NS Hejazi and DC Benkeser (2020)
<doi:10.21105/joss.02447>. Estimation of nuisance parameters may be
enhanced through the Super Learner ensemble model in 'sl3', available for
download from GitHub using 'remotes::install_github("tlverse/sl3")'.
Author: Nima Hejazi [aut, cre, cph] (<https://orcid.org/0000-0002-7127-2789>),
David Benkeser [aut] (<https://orcid.org/0000-0002-1019-8343>),
Iván Díaz [ctb] (<https://orcid.org/0000-0001-9056-2047>),
Jeremy Coyle [ctb] (<https://orcid.org/0000-0002-9874-6649>),
Mark van der Laan [ctb, ths] (<https://orcid.org/0000-0003-1432-5511>)
Maintainer: Nima Hejazi <nh@nimahejazi.org>
Diff between txshift versions 0.3.5 dated 2021-02-07 and 0.3.6 dated 2021-10-18
txshift-0.3.5/txshift/inst/doc/ipcw_txshift.R |only txshift-0.3.5/txshift/inst/doc/ipcw_txshift.Rmd |only txshift-0.3.5/txshift/inst/doc/ipcw_txshift.html |only txshift-0.3.5/txshift/vignettes/ipcw_txshift.Rmd |only txshift-0.3.6/txshift/DESCRIPTION | 48 - txshift-0.3.6/txshift/MD5 | 52 - txshift-0.3.6/txshift/NAMESPACE | 3 txshift-0.3.6/txshift/NEWS.md | 32 - txshift-0.3.6/txshift/R/eifs.R | 11 txshift-0.3.6/txshift/R/fit_mechanisms.R | 18 txshift-0.3.6/txshift/R/msm.R | 1 txshift-0.3.6/txshift/R/txshift.R | 51 - txshift-0.3.6/txshift/R/utils.R | 134 ++-- txshift-0.3.6/txshift/README.md | 185 ++---- txshift-0.3.6/txshift/build/vignette.rds |binary txshift-0.3.6/txshift/inst/CITATION | 4 txshift-0.3.6/txshift/inst/REFERENCES.bib | 113 +++ txshift-0.3.6/txshift/inst/doc/intro_txshift.R | 193 +++--- txshift-0.3.6/txshift/inst/doc/intro_txshift.Rmd | 365 ++++++----- txshift-0.3.6/txshift/inst/doc/intro_txshift.html | 367 ++++++------ txshift-0.3.6/txshift/man/est_g_exp.Rd | 4 txshift-0.3.6/txshift/man/print.txshift.Rd | 37 - txshift-0.3.6/txshift/man/txshift.Rd | 50 - txshift-0.3.6/txshift/tests/testthat/test-censoring_mech.R | 6 txshift-0.3.6/txshift/tests/testthat/test-estim_tmle_os.R | 13 txshift-0.3.6/txshift/tests/testthat/test-matches_tmle_ID.R | 7 txshift-0.3.6/txshift/tests/testthat/test-nuisance_est.R | 3 txshift-0.3.6/txshift/tests/testthat/test-tmle_comparison.R | 9 txshift-0.3.6/txshift/vignettes/intro_txshift.Rmd | 365 ++++++----- 29 files changed, 1166 insertions(+), 905 deletions(-)
Title: Missing Item Responses Imputation for Test and Assessment Data
Description: Functions for imputing missing item responses for dichotomous and
polytomous test and assessment data. This package enables missing imputation
methods that are suitable for test and assessment data, including:
listwise (LW) deletion (see De Ayala et al. 2001 <doi:10.1111/j.1745-3984.2001.tb01124.x>),
treating as incorrect (IN, see Lord, 1974 <doi: 10.1111/j.1745-3984.1974.tb00996.x>;
Mislevy & Wu, 1996 <doi: 10.1002/j.2333-8504.1996.tb01708.x>;
Pohl et al., 2014 <doi: 10.1177/0013164413504926>), person mean imputation (PM),
item mean imputation (IM), two-way (TW) and response function (RF) imputation,
(see Sijtsma & van der Ark, 2003 <doi: 10.1207/s15327906mbr3804_4>),
logistic regression (LR) imputation, predictive mean matching (PMM), and expectation–maximization (EM)
imputation (see Finch, 2008 <doi: 10.1111/j.1745-3984.2008.00062.x>).
Author: Shenghai Dai [aut, cre],
Xiaolin Wang [aut],
Dubravka Svetina [aut]
Maintainer: Shenghai Dai <s.dai@wsu.edu>
Diff between TestDataImputation versions 2.2 dated 2021-09-02 and 2.3 dated 2021-10-18
DESCRIPTION | 14 +++++++------- MD5 | 18 ++++++++++-------- NAMESPACE | 1 + R/EMimpute.r | 12 ++++++++++-- R/ImputeTestData.r | 40 ++++++++++++++++++++++++++++++++-------- R/LogisticReg.r | 11 +++++++++-- R/micePMM.r |only man/EMimpute.Rd | 11 +++++++++-- man/ImputeTestData.Rd | 32 ++++++++++++++++++++++++-------- man/LogisticReg.Rd | 13 +++++++++++-- man/micePMM.Rd |only 11 files changed, 113 insertions(+), 39 deletions(-)
More information about TestDataImputation at CRAN
Permanent link
Title: R Interface to the Vowpal Wabbit
Description: The 'Vowpal Wabbit' project is a fast out-of-core learning
system sponsored by Microsoft Research (having started at Yahoo! Research)
and written by John Langford along with a number of contributors. This R
package does not include the distributed computing implementation of the
cluster/ directory of the upstream sources. Use of the software as a network
service is also not directly supported as the aim is a simpler direct call
from R for validation and comparison. Note that this package contains an
embedded older version of 'Vowpal Wabbit'. The package 'rvw' at the GitHub
repo <https://github.com/rvw-org/rvw-legacy> can provide an alternative using
an external 'Vowpal Wabbit' library installation.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RVowpalWabbit versions 0.0.15 dated 2020-08-07 and 0.0.16 dated 2021-10-18
ChangeLog | 25 +++++++++++++++++++++++++ DESCRIPTION | 13 +++++++------ MD5 | 14 +++++++------- README.md | 1 + configure | 35 +++++++++++++++++++---------------- configure.ac | 9 +++++---- man/vw.Rd | 2 +- src/v_array.h | 4 ++-- 8 files changed, 67 insertions(+), 36 deletions(-)
Title: Marginal Effects, Marginal Means, Predictions, and Contrasts
Description: Compute, summarize, and plot marginal effects, adjusted predictions, contrasts, and marginal means for a wide variety of models.
Author: Vincent Arel-Bundock [aut, cre]
(<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Diff between marginaleffects versions 0.1.0 dated 2021-09-29 and 0.2.0 dated 2021-10-18
marginaleffects-0.1.0/marginaleffects/R/get_dydx_categorical.R |only marginaleffects-0.1.0/marginaleffects/R/get_dydx_continuous.R |only marginaleffects-0.1.0/marginaleffects/man/get_dydx_and_se.Rd |only marginaleffects-0.1.0/marginaleffects/man/get_dydx_categorical.Rd |only marginaleffects-0.1.0/marginaleffects/man/get_dydx_continuous.Rd |only marginaleffects-0.1.0/marginaleffects/tests/testthat/helper-basic.R |only marginaleffects-0.1.0/marginaleffects/tests/testthat/test-plot_cmm.R |only marginaleffects-0.2.0/marginaleffects/DESCRIPTION | 39 - marginaleffects-0.2.0/marginaleffects/MD5 | 178 ++--- marginaleffects-0.2.0/marginaleffects/NAMESPACE | 5 marginaleffects-0.2.0/marginaleffects/NEWS.md | 31 marginaleffects-0.2.0/marginaleffects/R/complete_levels.R | 5 marginaleffects-0.2.0/marginaleffects/R/counterfactual_typical.R | 72 +- marginaleffects-0.2.0/marginaleffects/R/get_dydx.R |only marginaleffects-0.2.0/marginaleffects/R/get_dydx_and_se.R | 155 +--- marginaleffects-0.2.0/marginaleffects/R/get_dydx_se.R |only marginaleffects-0.2.0/marginaleffects/R/get_predict.R | 11 marginaleffects-0.2.0/marginaleffects/R/get_vcov.R | 8 marginaleffects-0.2.0/marginaleffects/R/marginaleffects.R | 61 - 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More information about marginaleffects at CRAN
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Title: Do Multiple Imputation-Based Semi-Supervised and Unsupervised
Learning
Description: Algorithms for (i) unsupervised learning for dataset with
missing data and/or left-censored data, using multiple imputation and
consensus clustering ; (ii) semi-supervised learning with a survival
endpoint (right-censored) for complete or incomplete datasets, using
multiple imputation and consensus clustering in the latter case. The
methods are described in Faucheux et al. (2021)
<doi:10.1002/bimj.201900366> and Faucheux et al. (2021)
<doi:10.1002/bimj.202000365>, respectively.
Author: Lilith Faucheux [aut, cre],
Sylvie Chevret [ths],
Matthieu Resche-Rigon [ctb],
Marie Perrot-Dockès [ctb],
Eric Han [ctb]
Maintainer: Lilith Faucheux <lilith.faucheux@inserm.fr>
Diff between doMIsaul versions 1.0.0 dated 2021-08-05 and 1.0.1 dated 2021-10-18
DESCRIPTION | 12 +- MD5 | 30 +++--- NAMESPACE | 1 R/CH_index_functions.R | 27 ++++-- R/MI_imputation.R | 163 +++++++++++++++++++++++++++++++++++++- R/evaluate_partition_semisup.R | 16 ++- R/partition_generation.R | 2 R/unsupMI.R | 21 +++- man/CH.Rd | 5 - man/CH.sel.Rd | 5 - man/MImpute.Rd | 53 +++++++++++- man/evaluate_partition_semisup.Rd | 16 ++- man/unsupMI.Rd | 9 ++ tests/testthat/test-other.R | 35 ++++---- tests/testthat/test-seMIsupcox.R | 17 ++- tests/testthat/test-unsupMI.R | 46 +++++----- 16 files changed, 357 insertions(+), 101 deletions(-)
Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using
priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>).
Weighted directed graphs have weights from A to B which may differ
from those from B to A. Dual-weighted directed graphs have two sets
of such weights. A canonical example is a street network to be used
for routing in which routes are calculated by weighting distances
according to the type of way and mode of transport, yet lengths of
routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre],
Andreas Petutschnig [aut],
Robin Lovelace [ctb],
Andrew Smith [ctb],
Malcolm Morgan [ctb],
Shane Saunders [cph] (Original author of included code for priority
heaps)
Maintainer: Mark Padgham <mark.padgham@email.com>
Diff between dodgr versions 0.2.11 dated 2021-10-07 and 0.2.12 dated 2021-10-18
DESCRIPTION | 9 +- MD5 | 32 ++++---- NEWS.md | 9 ++ R/compare-heaps.R | 77 ++++++++++++-------- README.md | 2 inst/doc/dists-categorical.html | 20 ++--- inst/doc/dodgr.R | 23 +++-- inst/doc/dodgr.Rmd | 23 +++-- inst/doc/dodgr.html | 123 +++++++++++--------------------- inst/doc/flows.html | 29 ++++--- inst/doc/times.html | 16 ++-- man/compare_heaps.Rd | 3 src/dgraph.h | 1 src/run_sp_categorical.cpp | 2 tests/testthat/test-dists-categorical.R | 4 - tests/testthat/test-graph-fns.R | 4 - vignettes/dodgr.Rmd | 23 +++-- 17 files changed, 202 insertions(+), 198 deletions(-)
Title: Archive and Unarchive Databases Using Flat Files
Description: Flat text files provide a robust, compressible, and portable
way to store tables from databases. This package provides convenient
functions for exporting tables from relational database connections
into compressed text files and streaming those text files back into
a database without requiring the whole table to fit in working memory.
Author: Carl Boettiger [aut, cre, cph]
(<https://orcid.org/0000-0002-1642-628X>),
Richard FitzJohn [ctb],
Brandon Bertelsen [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>
Diff between arkdb versions 0.0.13 dated 2021-10-15 and 0.0.14 dated 2021-10-18
DESCRIPTION | 6 +-- MD5 | 8 ++-- NEWS.md | 7 +++ inst/doc/arkdb.html | 78 ++++++++++++++++++++++---------------------- tests/testthat/test-arkdb.R | 17 +++++++-- 5 files changed, 67 insertions(+), 49 deletions(-)
Title: Analysis of Oceanographic Argo Floats
Description: Supports the analysis of oceanographic data recorded by Argo autonomous drifting profiling floats. Functions are provided to (a) download and cache data files, (b) subset data in various ways, (c) handle quality-control flags and (d) plot the results according to oceanographic conventions. A shiny app is provided for easy exploration of datasets. The package is designed to work well with the 'oce' package, providing a wide range of processing capabilities that are particular to oceanographic analysis. See Kelley, Harbin, and Richards (2021) <doi:10.3389/fmars.2021.635922> for more on the scientific context and applications.
Author: Dan Kelley [aut, cre, cph] (<https://orcid.org/0000-0001-7808-5911>),
Jaimie Harbin [aut] (<https://orcid.org/0000-0003-3774-3732>),
Dewey Dunnington [ctb] (<https://orcid.org/0000-0002-9415-4582>),
Clark Richards [ctb] (<https://orcid.org/0000-0002-7833-206X>)
Maintainer: Dan Kelley <dan.kelley@dal.ca>
Diff between argoFloats versions 1.0.2 dated 2021-09-15 and 1.0.3 dated 2021-10-18
DESCRIPTION | 6 MD5 | 24 - R/mapApp.R | 30 - R/plot.R | 3 R/subset.R | 2 README.md | 107 ++--- build/partial.rdb |binary inst/WORDLIST | 1 inst/doc/argoFloats.html | 4 inst/doc/qc.html | 4 inst/shiny/mapApp/app.R | 805 ++++++++++++++++++++++++++++------------ man/mapApp.Rd | 29 - man/subset-argoFloats-method.Rd | 2 13 files changed, 672 insertions(+), 345 deletions(-)
Title: Visualizing Categorical Data
Description: Visualization techniques, data sets, summary and inference
procedures aimed particularly at categorical data. Special
emphasis is given to highly extensible grid graphics. The
package was package was originally inspired by the book
"Visualizing Categorical Data" by Michael Friendly and is
now the main support package for a new book,
"Discrete Data Analysis with R" by Michael Friendly and
David Meyer (2015).
Author: David Meyer [aut, cre],
Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>),
Kurt Hornik [aut],
Florian Gerber [ctb],
Michael Friendly [ctb]
Maintainer: David Meyer <David.Meyer@R-project.org>
Diff between vcd versions 1.4-8 dated 2020-09-21 and 1.4-9 dated 2021-10-18
DESCRIPTION | 6 +-- MD5 | 81 ++++++++++++++++++++--------------------- R/pairsplot.R | 3 + build/partial.rdb |only build/vignette.rds |binary data/Butterfly.rda |binary data/Employment.rda |binary data/Federalist.rda |binary data/HorseKicks.rda |binary data/Hospital.rda |binary data/Lifeboats.rda |binary data/MSPatients.rda |binary data/PreSex.rda |binary data/RepVict.rda |binary data/Rochdale.rda |binary data/Saxony.rda |binary data/Suicide.rda |binary data/UKSoccer.rda |binary data/WeldonDice.rda |binary data/WomenQueue.rda |binary inst/CITATION | 4 +- inst/NEWS.Rd | 8 ++++ inst/doc/residual-shadings.pdf |binary inst/doc/strucplot.pdf |binary man/assoc.Rd | 4 +- man/cotab_panel.Rd | 4 +- man/cotabplot.Rd | 5 +- man/doubledecker.Rd | 5 +- man/labeling_border.Rd | 4 +- man/labeling_cells_list.Rd | 4 +- man/legends.Rd | 4 +- man/mosaic.Rd | 4 +- man/pairs.table.Rd | 4 +- man/panel_pairs_diagonal.Rd | 2 + man/shadings.Rd | 5 +- man/sieve.Rd | 6 +-- man/spacings.Rd | 5 +- man/struc_assoc.Rd | 4 +- man/struc_mosaic.Rd | 5 +- man/struc_sieve.Rd | 4 +- man/strucplot.Rd | 6 +-- man/structable.Rd | 4 +- 42 files changed, 99 insertions(+), 82 deletions(-)
Title: The Tidymodels Extension for Time Series Modeling
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem.
Models include ARIMA, Exponential Smoothing, and additional time series models
from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition"
(<https://otexts.com/fpp2/>).
Refer to "Prophet: forecasting at scale"
(<https://research.fb.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Author: Matt Dancho [aut, cre],
Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Diff between modeltime versions 1.0.0 dated 2021-09-14 and 1.1.0 dated 2021-10-18
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modeltime-1.1.0/modeltime/R/dials-temporal_hierarchy_params.R | 80 modeltime-1.1.0/modeltime/R/dials-ts_params.R | 114 modeltime-1.1.0/modeltime/R/helpers-modeltime_residuals.R | 86 modeltime-1.1.0/modeltime/R/helpers-modeltime_table.R | 580 +- modeltime-1.1.0/modeltime/R/modeltime-accuracy-table.R | 313 - modeltime-1.1.0/modeltime/R/modeltime-accuracy.R | 342 - modeltime-1.1.0/modeltime/R/modeltime-calibrate.R | 715 +-- modeltime-1.1.0/modeltime/R/modeltime-fit-workflowset.R | 646 +-- modeltime-1.1.0/modeltime/R/modeltime-forecast-plot.R | 463 +- modeltime-1.1.0/modeltime/R/modeltime-forecast.R | 2075 +++++----- modeltime-1.1.0/modeltime/R/modeltime-recursive.R | 1430 +++--- modeltime-1.1.0/modeltime/R/modeltime-refit.R | 991 ++-- modeltime-1.1.0/modeltime/R/modeltime-residuals-plot.R | 297 - modeltime-1.1.0/modeltime/R/modeltime-residuals-tests.R | 396 - modeltime-1.1.0/modeltime/R/modeltime-residuals.R | 206 modeltime-1.1.0/modeltime/R/modeltime-table.R | 219 - modeltime-1.1.0/modeltime/R/nested-modeltime-forecast.R | 828 +-- modeltime-1.1.0/modeltime/R/nested-modeltime_data_prep.R | 659 +-- modeltime-1.1.0/modeltime/R/nested-modeltime_extractors.R | 225 - modeltime-1.1.0/modeltime/R/nested-modeltime_fit.R | 1196 ++--- modeltime-1.1.0/modeltime/R/nested-modeltime_refit.R | 844 ++-- modeltime-1.1.0/modeltime/R/nested-modeltime_select_best.R | 410 - modeltime-1.1.0/modeltime/R/parsnip-adam.R |only modeltime-1.1.0/modeltime/R/parsnip-adam_data.R |only modeltime-1.1.0/modeltime/R/parsnip-arima_boost.R | 1614 +++---- modeltime-1.1.0/modeltime/R/parsnip-arima_boost_data.R | 742 +-- modeltime-1.1.0/modeltime/R/parsnip-arima_reg.R | 1070 ++--- modeltime-1.1.0/modeltime/R/parsnip-arima_reg_data.R | 494 +- modeltime-1.1.0/modeltime/R/parsnip-exp_smoothing.R | 1542 ++++--- modeltime-1.1.0/modeltime/R/parsnip-exp_smoothing_data.R | 628 +-- modeltime-1.1.0/modeltime/R/parsnip-naive_reg.R | 1002 ++-- modeltime-1.1.0/modeltime/R/parsnip-naive_reg_data.R | 308 - modeltime-1.1.0/modeltime/R/parsnip-nnetar_reg.R | 774 +-- modeltime-1.1.0/modeltime/R/parsnip-nnetar_reg_data.R | 266 - modeltime-1.1.0/modeltime/R/parsnip-prophet_boost.R | 1370 +++--- modeltime-1.1.0/modeltime/R/parsnip-prophet_boost_data.R | 496 +- modeltime-1.1.0/modeltime/R/parsnip-prophet_reg.R | 1154 ++--- modeltime-1.1.0/modeltime/R/parsnip-prophet_reg_data.R | 356 - modeltime-1.1.0/modeltime/R/parsnip-seasonal_reg.R | 1336 +++--- modeltime-1.1.0/modeltime/R/parsnip-seasonal_reg_data.R | 510 +- modeltime-1.1.0/modeltime/R/parsnip-temporal_hierarchy.R | 743 +-- modeltime-1.1.0/modeltime/R/parsnip-temporal_hierarchy_data.R | 192 modeltime-1.1.0/modeltime/R/parsnip-window_reg.R | 1220 ++--- modeltime-1.1.0/modeltime/R/parsnip-window_reg_data.R | 344 - modeltime-1.1.0/modeltime/R/tibble-type_sum.R | 64 modeltime-1.1.0/modeltime/R/utils-checks-validations.R | 804 +-- modeltime-1.1.0/modeltime/R/utils-control-par.R | 1067 ++--- modeltime-1.1.0/modeltime/R/utils-is_modeltime.R | 124 modeltime-1.1.0/modeltime/R/utils-make_grouped_predictions.R | 112 modeltime-1.1.0/modeltime/R/utils-parsnip-helpers.R | 346 - modeltime-1.1.0/modeltime/R/utils-pipe.R | 22 modeltime-1.1.0/modeltime/R/utils-tidy-eval.R | 94 modeltime-1.1.0/modeltime/R/utils-xgboost.R | 162 modeltime-1.1.0/modeltime/R/yardstick-metric-sets.R | 574 +- modeltime-1.1.0/modeltime/R/zzz.R | 83 modeltime-1.1.0/modeltime/README.md | 394 - 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modeltime-1.1.0/modeltime/man/modeltime_fit_workflowset.Rd | 138 modeltime-1.1.0/modeltime/man/modeltime_forecast.Rd | 457 +- modeltime-1.1.0/modeltime/man/modeltime_nested_fit.Rd | 130 modeltime-1.1.0/modeltime/man/modeltime_nested_forecast.Rd | 142 modeltime-1.1.0/modeltime/man/modeltime_nested_refit.Rd | 46 modeltime-1.1.0/modeltime/man/modeltime_nested_select_best.Rd | 80 modeltime-1.1.0/modeltime/man/modeltime_refit.Rd | 197 modeltime-1.1.0/modeltime/man/modeltime_residuals.Rd | 134 modeltime-1.1.0/modeltime/man/modeltime_residuals_test.Rd | 222 - modeltime-1.1.0/modeltime/man/modeltime_table.Rd | 173 modeltime-1.1.0/modeltime/man/naive_fit_impl.Rd | 44 modeltime-1.1.0/modeltime/man/naive_predict_impl.Rd | 32 modeltime-1.1.0/modeltime/man/naive_reg.Rd | 306 - modeltime-1.1.0/modeltime/man/new_modeltime_bridge.Rd | 102 modeltime-1.1.0/modeltime/man/nnetar_fit_impl.Rd | 100 modeltime-1.1.0/modeltime/man/nnetar_params.Rd | 80 modeltime-1.1.0/modeltime/man/nnetar_predict_impl.Rd | 36 modeltime-1.1.0/modeltime/man/nnetar_reg.Rd | 388 - 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modeltime-1.1.0/modeltime/man/smooth_fit_impl.Rd |only modeltime-1.1.0/modeltime/man/smooth_predict_impl.Rd |only modeltime-1.1.0/modeltime/man/snaive_fit_impl.Rd | 44 modeltime-1.1.0/modeltime/man/snaive_predict_impl.Rd | 32 modeltime-1.1.0/modeltime/man/stlm_arima_fit_impl.Rd | 68 modeltime-1.1.0/modeltime/man/stlm_arima_predict_impl.Rd | 36 modeltime-1.1.0/modeltime/man/stlm_ets_fit_impl.Rd | 68 modeltime-1.1.0/modeltime/man/stlm_ets_predict_impl.Rd | 36 modeltime-1.1.0/modeltime/man/summarize_accuracy_metrics.Rd | 84 modeltime-1.1.0/modeltime/man/table_modeltime_accuracy.Rd | 241 - modeltime-1.1.0/modeltime/man/tbats_fit_impl.Rd | 74 modeltime-1.1.0/modeltime/man/tbats_predict_impl.Rd | 36 modeltime-1.1.0/modeltime/man/temporal_hier_fit_impl.Rd | 64 modeltime-1.1.0/modeltime/man/temporal_hier_predict_impl.Rd | 36 modeltime-1.1.0/modeltime/man/temporal_hierarchy.Rd | 296 - modeltime-1.1.0/modeltime/man/temporal_hierarchy_params.Rd | 56 modeltime-1.1.0/modeltime/man/theta_fit_impl.Rd | 36 modeltime-1.1.0/modeltime/man/theta_predict_impl.Rd | 36 modeltime-1.1.0/modeltime/man/tidyeval.Rd | 102 modeltime-1.1.0/modeltime/man/time_series_params.Rd | 82 modeltime-1.1.0/modeltime/man/type_sum.mdl_time_tbl.Rd | 36 modeltime-1.1.0/modeltime/man/update_model_description.Rd | 74 modeltime-1.1.0/modeltime/man/update_modeltime_model.Rd | 80 modeltime-1.1.0/modeltime/man/window_function_fit_impl.Rd | 64 modeltime-1.1.0/modeltime/man/window_function_predict_impl.Rd | 32 modeltime-1.1.0/modeltime/man/window_reg.Rd | 420 +- modeltime-1.1.0/modeltime/man/xgboost_impl.Rd | 158 modeltime-1.1.0/modeltime/man/xgboost_predict.Rd | 36 modeltime-1.1.0/modeltime/tests/testthat.R | 60 modeltime-1.1.0/modeltime/tests/testthat/test-algo-adam_reg-Adam.R |only modeltime-1.1.0/modeltime/tests/testthat/test-algo-adam_reg-auto_adam.R |only modeltime-1.1.0/modeltime/tests/testthat/test-algo-arima_boost-Arima.R | 578 +- modeltime-1.1.0/modeltime/tests/testthat/test-algo-arima_boost-auto_arima.R | 548 +- modeltime-1.1.0/modeltime/tests/testthat/test-algo-arima_reg-Arima.R | 416 +- modeltime-1.1.0/modeltime/tests/testthat/test-algo-arima_reg-auto_arima.R | 384 - modeltime-1.1.0/modeltime/tests/testthat/test-algo-exp_smoothing-ets.R | 695 +-- modeltime-1.1.0/modeltime/tests/testthat/test-algo-nnetar_reg.R | 456 +- modeltime-1.1.0/modeltime/tests/testthat/test-algo-prophet_boost.R | 770 +-- modeltime-1.1.0/modeltime/tests/testthat/test-algo-prophet_reg.R | 658 +-- modeltime-1.1.0/modeltime/tests/testthat/test-algo-seasonal_decomp_arima.R | 318 - modeltime-1.1.0/modeltime/tests/testthat/test-algo-seasonal_decomp_ets.R | 302 - modeltime-1.1.0/modeltime/tests/testthat/test-algo-seasonal_reg_tbats.R | 308 - modeltime-1.1.0/modeltime/tests/testthat/test-algo-temporal_hierarchy.R | 284 - modeltime-1.1.0/modeltime/tests/testthat/test-algo-window_reg.R | 864 ++-- modeltime-1.1.0/modeltime/tests/testthat/test-conf_by_id.R | 168 modeltime-1.1.0/modeltime/tests/testthat/test-default_accuracy_metric_sets.R | 116 modeltime-1.1.0/modeltime/tests/testthat/test-developer-tools-constructor.R | 292 - modeltime-1.1.0/modeltime/tests/testthat/test-developer-tools-xregs.R | 124 modeltime-1.1.0/modeltime/tests/testthat/test-extended_accuracy_metric_set.R | 114 modeltime-1.1.0/modeltime/tests/testthat/test-fit_workflowsets.R | 438 +- modeltime-1.1.0/modeltime/tests/testthat/test-helpers-combine-modeltime-tables.R | 172 modeltime-1.1.0/modeltime/tests/testthat/test-helpers-pull_parsnip_preprocessor.R | 132 modeltime-1.1.0/modeltime/tests/testthat/test-helpers-update-modeltime-tables.R | 248 - modeltime-1.1.0/modeltime/tests/testthat/test-modeltime_table-forecast-accuracy-refitting.R | 970 ++-- modeltime-1.1.0/modeltime/tests/testthat/test-modeltime_table-no-calib-refit.R | 246 - modeltime-1.1.0/modeltime/tests/testthat/test-nested-modeltime.R | 546 +- modeltime-1.1.0/modeltime/tests/testthat/test-panel-data.R | 238 - modeltime-1.1.0/modeltime/tests/testthat/test-recursive.R | 666 +-- modeltime-1.1.0/modeltime/tests/testthat/test-refit-parallel.R | 106 modeltime-1.1.0/modeltime/tests/testthat/test-results-accuracy-tables.R | 360 - modeltime-1.1.0/modeltime/tests/testthat/test-results-forecast-plots.R | 268 - modeltime-1.1.0/modeltime/tests/testthat/test-results-residuals-tests.R | 206 modeltime-1.1.0/modeltime/tests/testthat/test-tune_workflows.R | 146 modeltime-1.1.0/modeltime/vignettes/getting-started-with-modeltime.Rmd | 818 +-- 232 files changed, 34433 insertions(+), 33668 deletions(-)
Title: Library of Research Designs
Description: A simple interface to build designs using the package 'DeclareDesign'.
In one line of code, users can specify the parameters of individual
designs and diagnose their properties. The designers can also be used
to compare performance of a given design across a range of combinations
of parameters, such as effect size, sample size, and assignment probabilities.
Author: Graeme Blair [aut],
Jasper Cooper [aut, cre],
Alexander Coppock [aut],
Macartan Humphreys [aut],
Clara Bicalho [aut],
Neal Fultz [aut],
Lily Medina [aut]
Maintainer: Jasper Cooper <jjc2247@columbia.edu>
Diff between DesignLibrary versions 0.1.8 dated 2021-09-02 and 0.1.10 dated 2021-10-18
DESCRIPTION | 24 +++++++++++++----------- MD5 | 14 +++++++------- NEWS.md | 4 ++++ R/factorial_designer.R | 4 ++-- R/multi_arm_designer.R | 4 ++-- R/two_arm_covariate_designer.R | 2 +- man/two_arm_covariate_designer.Rd | 2 +- tests/testthat/test_diagnose_designers.R | 2 ++ 8 files changed, 32 insertions(+), 24 deletions(-)
Title: Coarsened Variable Modeling
Description: Extends R's implementation of categorical variables (factors)
to handle coarsened observations; implements log-linear models for
coarsened categorical data, including latent-class models. Detailed
information and examples are provided in the package vignettes.
Author: Joseph L. Schafer <Joseph.L.Schafer@census.gov>
Maintainer: Joseph L. Schafer <Joseph.L.Schafer@census.gov>
Diff between cvam versions 0.9.1 dated 2021-10-01 and 0.9.2 dated 2021-10-18
cvam-0.9.1/cvam/man/cvamLik.Rd |only cvam-0.9.2/cvam/ChangeLog | 89 cvam-0.9.2/cvam/DESCRIPTION | 12 cvam-0.9.2/cvam/LICENSE | 40 cvam-0.9.2/cvam/MD5 | 146 cvam-0.9.2/cvam/NAMESPACE | 156 cvam-0.9.2/cvam/NEWS | 29 cvam-0.9.2/cvam/R/coarsened.R | 634 cvam-0.9.2/cvam/R/cvamMlogit.R | 822 cvam-0.9.2/cvam/R/cvamModel.R | 6866 +-- cvam-0.9.2/cvam/R/miInference.R | 208 cvam-0.9.2/cvam/R/msgCvam.R | 236 cvam-0.9.2/cvam/R/sysdata.rda |binary cvam-0.9.2/cvam/build/partial.rdb |binary cvam-0.9.2/cvam/build/vignette.rds |binary cvam-0.9.2/cvam/data/abortion2000.rda |binary cvam-0.9.2/cvam/data/cig2019.rda |only cvam-0.9.2/cvam/data/crime.rda |binary cvam-0.9.2/cvam/data/hivtest.rda |binary cvam-0.9.2/cvam/data/microUCBAdmissions.rda |binary cvam-0.9.2/cvam/data/seatbelt.rda |binary cvam-0.9.2/cvam/inst/CITATION | 16 cvam-0.9.2/cvam/inst/doc/FittingLogLinearModelsInCvam.R | 1978 cvam-0.9.2/cvam/inst/doc/FittingLogLinearModelsInCvam.Rnw | 7838 +-- cvam-0.9.2/cvam/inst/doc/FittingLogLinearModelsInCvam.pdf |binary cvam-0.9.2/cvam/inst/doc/UnderstandingCoarsenedFactorsInCvam.R | 1230 cvam-0.9.2/cvam/inst/doc/UnderstandingCoarsenedFactorsInCvam.Rnw | 2716 - cvam-0.9.2/cvam/inst/doc/UnderstandingCoarsenedFactorsInCvam.pdf |binary cvam-0.9.2/cvam/man/abortion2000.Rd | 281 cvam-0.9.2/cvam/man/anova.cvam.Rd | 180 cvam-0.9.2/cvam/man/baseLevels.Rd | 150 cvam-0.9.2/cvam/man/cig2019.Rd |only cvam-0.9.2/cvam/man/coarsened.Rd | 350 cvam-0.9.2/cvam/man/crime.Rd | 86 cvam-0.9.2/cvam/man/cvam-package.Rd | 138 cvam-0.9.2/cvam/man/cvam.Rd | 409 cvam-0.9.2/cvam/man/cvamControl.Rd | 356 cvam-0.9.2/cvam/man/cvamEstimate.Rd | 234 cvam-0.9.2/cvam/man/cvamImpute.Rd | 164 cvam-0.9.2/cvam/man/cvamPredict.Rd | 158 cvam-0.9.2/cvam/man/cvamPrior.Rd | 206 cvam-0.9.2/cvam/man/cvamlik.Rd |only cvam-0.9.2/cvam/man/dropCoarseLevels.Rd | 116 cvam-0.9.2/cvam/man/get.coef.Rd | 526 cvam-0.9.2/cvam/man/hivtest.Rd | 92 cvam-0.9.2/cvam/man/is.naCoarsened.Rd | 112 cvam-0.9.2/cvam/man/latentFactor.Rd | 116 cvam-0.9.2/cvam/man/miInference.Rd | 290 cvam-0.9.2/cvam/man/microUCBAdmissions.Rd | 84 cvam-0.9.2/cvam/man/seatbelt.Rd | 130 cvam-0.9.2/cvam/man/summary.cvam.Rd | 98 cvam-0.9.2/cvam/src/cvam.f90 | 1682 cvam-0.9.2/cvam/src/cvam_engine.f90 |19921 +++++----- cvam-0.9.2/cvam/src/cvam_init.c | 4 cvam-0.9.2/cvam/src/dynalloc.f90 | 1760 cvam-0.9.2/cvam/src/error_handler.f90 | 1258 cvam-0.9.2/cvam/src/icodes_2.h | 20 cvam-0.9.2/cvam/src/icodes_3.h | 80 cvam-0.9.2/cvam/src/math_R.f90 | 4340 +- cvam-0.9.2/cvam/src/math_funcs.f90 | 510 cvam-0.9.2/cvam/src/matrix_methods.f90 | 2096 - cvam-0.9.2/cvam/src/program_constants.f90 | 84 cvam-0.9.2/cvam/src/quick_sort.f90 | 972 cvam-0.9.2/cvam/src/tabulate.f90 | 1610 cvam-0.9.2/cvam/tests/UCBAdmissionsTests.R | 174 cvam-0.9.2/cvam/tests/UCBAdmissionsTests.Rout.save | 44 cvam-0.9.2/cvam/tests/abortion2000Tests.R | 474 cvam-0.9.2/cvam/tests/abortion2000Tests.Rout.save | 60 cvam-0.9.2/cvam/tests/crimeTests.R | 224 cvam-0.9.2/cvam/tests/crimeTests.Rout.save | 38 cvam-0.9.2/cvam/tests/hivtestTests.R | 246 cvam-0.9.2/cvam/tests/hivtestTests.Rout.save | 44 cvam-0.9.2/cvam/vignettes/FittingLogLinearModelsInCvam.Rnw | 7838 +-- cvam-0.9.2/cvam/vignettes/UnderstandingCoarsenedFactorsInCvam.Rnw | 2716 - cvam-0.9.2/cvam/vignettes/apa.bst | 2260 - cvam-0.9.2/cvam/vignettes/cvamBibliography.bib | 1590 76 files changed, 40876 insertions(+), 36461 deletions(-)
Title: Boltzmann Entropy of a Landscape Gradient
Description: Calculates the Boltzmann entropy of a landscape gradient.
This package uses the analytical method created by Gao, P., Zhang, H.
and Li, Z., 2018 (<doi:10.1111/tgis.12315>) and by Gao, P. and Li, Z., 2019
(<doi:10.1007/s10980-019-00854-3>). It also extend the original ideas by
allowing calculations on data with missing values.
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>),
Space Informatics Lab [cph]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Diff between belg versions 1.4.1 dated 2020-08-31 and 1.5.0 dated 2021-10-18
belg-1.4.1/belg/R/datasets.R |only belg-1.4.1/belg/data |only belg-1.4.1/belg/man/complex_land.Rd |only belg-1.4.1/belg/man/land_gradient1.Rd |only belg-1.4.1/belg/man/land_gradient2.Rd |only belg-1.4.1/belg/man/simple_land.Rd |only belg-1.5.0/belg/DESCRIPTION | 15 belg-1.5.0/belg/MD5 | 41 - belg-1.5.0/belg/NAMESPACE | 1 belg-1.5.0/belg/NEWS.md | 20 belg-1.5.0/belg/R/get_boltzmann.R | 13 belg-1.5.0/belg/README.md | 32 - belg-1.5.0/belg/build/vignette.rds |binary belg-1.5.0/belg/inst/doc/belg1.R | 2 belg-1.5.0/belg/inst/doc/belg1.Rmd | 2 belg-1.5.0/belg/inst/doc/belg1.html | 316 +++------------ belg-1.5.0/belg/inst/raster |only belg-1.5.0/belg/man/figures/README-unnamed-chunk-1-1.png |binary belg-1.5.0/belg/man/get_boltzmann.Rd | 13 belg-1.5.0/belg/src/RcppExports.cpp | 5 belg-1.5.0/belg/tests/testthat/test-raster-stars.R | 13 belg-1.5.0/belg/vignettes/belg1.Rmd | 2 22 files changed, 172 insertions(+), 303 deletions(-)
Title: A Handbook of Statistical Analyses Using R (3rd Edition)
Description: Functions, data sets, analyses and examples from the
third edition of the book
''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and Brian S.
Everitt, Chapman & Hall/CRC, 2014). The first chapter
of the book, which is entitled ''An Introduction to R'',
is completely included in this package, for all other chapters,
a vignette containing all data analyses is available. In addition,
Sweave source code for slides of selected chapters is included in
this package (see HSAUR3/inst/slides). The publishers web page is
'<http://www.crcpress.com/product/isbn/9781482204582>'.
Author: Torsten Hothorn and Brian S. Everitt
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between HSAUR3 versions 1.0-11 dated 2021-04-07 and 1.0-12 dated 2021-10-18
DESCRIPTION | 8 - MD5 | 124 +++++++++++++------------- build/vignette.rds |binary data/BCG.rda |binary data/CYGOB1.rda |binary data/Lanza.rda |binary data/birthdeathrates.rda |binary data/bladdercancer.rda |binary data/epilepsy.rda |binary data/foster.rda |binary data/heptathlon.rda |binary data/meteo.rda |binary data/orallesions.rda |binary data/phosphate.rda |binary data/pistonrings.rda |binary data/planets.rda |binary data/plasma.rda |binary data/polyps.rda |binary data/rearrests.rda |binary data/roomwidth.rda |binary data/schizophrenia.rda |binary data/schizophrenia2.rda |binary data/smoking.rda |binary data/students.rda |binary data/suicides.rda |binary data/toothpaste.rda |binary data/voting.rda |binary data/water.rda |binary data/watervoles.rda |binary data/waves.rda |binary data/weightgain.rda |binary inst/NEWS | 4 inst/doc/Ch_analysing_longitudinal_dataI.pdf |binary inst/doc/Ch_analysing_longitudinal_dataII.pdf |binary inst/doc/Ch_analysis_of_variance.pdf |binary inst/doc/Ch_bayesian_inference.pdf |binary inst/doc/Ch_cluster_analysis.Rnw | 4 inst/doc/Ch_cluster_analysis.pdf |binary inst/doc/Ch_conditional_inference.pdf |binary inst/doc/Ch_density_estimation.Rnw | 10 +- inst/doc/Ch_density_estimation.pdf |binary inst/doc/Ch_errata.pdf |binary inst/doc/Ch_gam.pdf |binary inst/doc/Ch_graphical_display.Rnw | 4 inst/doc/Ch_graphical_display.pdf |binary inst/doc/Ch_introduction_to_R.pdf |binary inst/doc/Ch_logistic_regression_glm.pdf |binary inst/doc/Ch_meta_analysis.pdf |binary inst/doc/Ch_missing_values.pdf |binary inst/doc/Ch_multidimensional_scaling.pdf |binary inst/doc/Ch_multiple_linear_regression.pdf |binary inst/doc/Ch_principal_components_analysis.pdf |binary inst/doc/Ch_quantile_regression.Rnw | 10 +- inst/doc/Ch_quantile_regression.pdf |binary inst/doc/Ch_recursive_partitioning.pdf |binary inst/doc/Ch_simple_inference.pdf |binary inst/doc/Ch_simultaneous_inference.pdf |binary inst/doc/Ch_survival_analysis.pdf |binary vignettes/Ch_cluster_analysis.Rnw | 4 vignettes/Ch_density_estimation.Rnw | 10 +- vignettes/Ch_graphical_display.Rnw | 4 vignettes/Ch_quantile_regression.Rnw | 10 +- vignettes/tables/rec.tex | 14 +- 63 files changed, 111 insertions(+), 95 deletions(-)
Title: Extraction of Business Financial Information from 'XBRL'
Documents
Description: Functions to extract business financial information from
an Extensible Business Reporting Language ('XBRL') instance file and the
associated collection of files that defines its 'Discoverable' Taxonomy
Set ('DTS').
Author: Roberto Bertolusso
Maintainer: Roberto Bertolusso <rbertolusso@rice.edu>
Diff between XBRL versions 0.99.18 dated 2017-03-28 and 0.99.19 dated 2021-10-18
XBRL-0.99.18/XBRL/configure.in |only XBRL-0.99.19/XBRL/ChangeLog | 6 ++++++ XBRL-0.99.19/XBRL/DESCRIPTION | 8 ++++---- XBRL-0.99.19/XBRL/MD5 | 6 +++--- XBRL-0.99.19/XBRL/configure.ac |only 5 files changed, 13 insertions(+), 7 deletions(-)
Title: R6 Mathematical Sets Interface
Description: An object-oriented package for mathematical sets, upgrading the current gold-standard {sets}. Many forms of mathematical sets are implemented, including (countably finite) sets, tuples, intervals (countably infinite or uncountable), and fuzzy variants. Wrappers extend functionality by allowing symbolic representations of complex operations on sets, including unions, (cartesian) products, exponentiation, and differences (asymmetric and symmetric).
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>),
Franz Kiraly [aut]
Maintainer: Raphael Sonabend <raphaelsonabend@gmail.com>
Diff between set6 versions 0.2.3 dated 2021-07-25 and 0.2.4 dated 2021-10-18
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NAMESPACE | 1 + NEWS.md | 5 +++++ R/operation_setintersect.R | 4 +++- R/zzz.R | 2 ++ README.md | 2 +- inst/doc/set6.html | 4 ++-- man/set6-package.Rd | 2 +- src/RcppExports.cpp | 5 +++++ tests/testthat/test_operations_setintersect.R | 21 ++++++++++++--------- 11 files changed, 46 insertions(+), 28 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-03 1.0.3
2021-04-21 1.0.2
2021-03-02 1.0.1
2021-03-01 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-23 0.6.4
2019-04-01 0.6.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-22 0.9.23
2020-04-17 0.9.20
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-19 0.9.6
Title: Tests for Rotational Symmetry on the Hypersphere
Description: Implementation of the tests for rotational symmetry on the
hypersphere proposed in García-Portugués, Paindaveine and Verdebout (2020)
<doi:10.1080/01621459.2019.1665527>. The package also implements the
proposed distributions on the hypersphere, based on the tangent-normal
decomposition, and allows for the replication of the data application
considered in the paper.
Author: Eduardo García-Portugués [aut, cre]
(<https://orcid.org/0000-0002-9224-4111>),
Davy Paindaveine [aut],
Thomas Verdebout [aut]
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>
Diff between rotasym versions 1.1.2 dated 2021-08-19 and 1.1.3 dated 2021-10-18
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS.md | 6 ++++++ R/ACG.R | 2 +- build/partial.rdb |binary src/vMF.cpp | 2 +- 6 files changed, 17 insertions(+), 11 deletions(-)
Title: Optimal Distribution Preserving Down-Sampling of Bio-Medical
Data
Description: An optimized method for distribution-preserving class-proportional down-sampling of bio-medical data.
Author: Jorn Lotsch [aut,cre] (<https://orcid.org/0000-0002-5818-6958>),
Sebastian Malkusch [aut] (<https://orcid.org/0000-0001-6766-140X>),
Alfred Ultsch [aut] (<https://orcid.org/0000-0002-7845-3283>)
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>
Diff between opdisDownsampling versions 0.6.1 dated 2021-10-11 and 0.7.0 dated 2021-10-18
DESCRIPTION | 10 +- MD5 | 8 - NAMESPACE | 10 +- R/opdisDownsampling.R | 208 ++++++++++++++++++++++++++--------------------- man/opdisDownsampling.Rd | 12 +- 5 files changed, 141 insertions(+), 107 deletions(-)
More information about opdisDownsampling at CRAN
Permanent link
Title: Seawater Carbonate Chemistry
Description: Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.
Author: Jean-Pierre Gattuso [aut, cre, cph],
Jean-Marie Epitalon [aut],
Heloise Lavigne [aut],
James Orr [aut],
Bernard Gentili [ctb],
Mathilde Hagens [ctb],
Andreas Hofmann [ctb],
Jens-Daniel Mueller [ctb],
Aurélien Proye [ctb],
James Rae [ctb],
Karline Soetaert [ctb]
Maintainer: Jean-Pierre Gattuso <jean-pierre.gattuso@imev-mer.fr>
Diff between seacarb versions 3.2.16 dated 2021-02-22 and 3.3.0 dated 2021-10-18
seacarb-3.2.16/seacarb/R/sir.R |only seacarb-3.2.16/seacarb/R/sir_b.R |only seacarb-3.2.16/seacarb/R/sir_full.R |only seacarb-3.3.0/seacarb/ChangeLog | 8 seacarb-3.3.0/seacarb/DESCRIPTION | 14 seacarb-3.3.0/seacarb/MD5 | 31 seacarb-3.3.0/seacarb/NAMESPACE | 13 seacarb-3.3.0/seacarb/R/K1.R | 18 seacarb-3.3.0/seacarb/R/K2.R | 16 seacarb-3.3.0/seacarb/R/SIR.R |only seacarb-3.3.0/seacarb/R/SIR_b.R |only seacarb-3.3.0/seacarb/R/SIR_full.R |only seacarb-3.3.0/seacarb/R/calculate_carb.R |only seacarb-3.3.0/seacarb/R/carb.R | 924 --------------------------- seacarb-3.3.0/seacarb/R/carbb.R | 924 --------------------------- seacarb-3.3.0/seacarb/R/carbfull.R | 1042 ------------------------------- seacarb-3.3.0/seacarb/R/fCO2insi.R | 2 seacarb-3.3.0/seacarb/R/pCO2insi.R |only seacarb-3.3.0/seacarb/README.md | 2 seacarb-3.3.0/seacarb/man/fCO2insi.Rd | 2 seacarb-3.3.0/seacarb/man/pCO2insi.Rd |only 21 files changed, 82 insertions(+), 2914 deletions(-)
Title: Self-Drive Machine Learning Projects
Description: Implementing some of the pillars of an automated machine learning pipeline such as (i) Automated data preparation, (ii) Feature engineering, (iii) Model building in classification context that includes techniques such as (a) Regularised regression [1], (b) Logistic regression [2], (c) Random Forest [3], (d) Decision tree [4] and (e) Extreme Gradient Boosting (xgboost) [5], and finally, (iv) Model explanation (using lift chart and partial dependency plots). Accomplishes the above tasks by running the function instead of writing lengthy R codes. Also provides some additional features such as generating missing at random (MAR) variables and automated exploratory data analysis. Moreover, function exports the model results with the required plots in an HTML vignette report format that follows the best practices of the industry and the academia. [1] Gonzales G B and De Saeger (2018) <doi:10.1038/s41598-018-21851-7>, [2] Sperandei S (2014) <doi:10.11613/BM.2014.003>, [3] Breiman L (2001) <doi:10.1023/A:1010933404324>, [4] Kingsford C and Salzberg S (2008) <doi:10.1038/nbt0908-1011>, [5] Chen Tianqi and Guestrin Carlos (2016) <doi:10.1145/2939672.2939785>.
Author: Dayanand Ubrangala [aut, cre],
Sayan Putatunda [aut, ctb],
Kiran R [aut, ctb],
Ravi Prasad Kondapalli [aut, ctb]
Maintainer: Dayanand Ubrangala <daya6489@gmail.com>
Diff between DriveML versions 0.1.3 dated 2021-06-14 and 0.1.4 dated 2021-10-18
DESCRIPTION | 6 MD5 | 38 NEWS.md | 8 R/autoDataPrep.R | 12 R/autoFeature.R | 2 R/autoMAR.R | 2 R/predictDataprep.R | 7 R/utilis.R | 9 README.md | 23 inst/doc/DriveML.R | 42 inst/doc/DriveML.Rmd | 50 inst/doc/DriveML.html | 3186 ----------------------------------------- man/autoDataprep.Rd | 4 man/autoMLmodel.Rd | 1 man/autoPDP.Rd | 1 man/figures/dml_icon3.png |only man/figures/dml_logo.png |only man/figures/model-results.PNG |only man/figures/o10-1.png |only man/figures/o11-1.png |only man/figures/o12-1.png |only tests/testthat/test_dataprep.R | 2 vignettes/DriveML.Rmd | 50 23 files changed, 278 insertions(+), 3165 deletions(-)
Title: Analyzing Ecological Networks
Description: A collection of advanced tools, methods and models specifically designed for analyzing different types of ecological networks - especially antagonistic (food webs, host-parasite), mutualistic (plant-pollinator, plant-fungus, etc) and competitive networks, as well as their variability in time and space. Statistical models are developed to describe and understand the mechanisms that determine species interactions, and to decipher the organization of these ecological networks (Ohlmann et al. (2019) <doi:10.1111/ele.13221>, Gonzalez et al. (2020) <doi:10.1101/2020.04.02.021691>, Miele et al. (2021) submitted, Botella et al (2021) <doi:10.1111/2041-210X.13738>).
Author: Vincent Miele [aut, cre], Catherine Matias [ctb], Stephane Dray [ctb], Christophe Botella [ctb], Marc Ohlmann [aut], Giovanni Poggiato [ctb], Wilfried Thuiller [ctb]
Maintainer: Vincent Miele <vincent.miele@univ-lyon1.fr>
Diff between econetwork versions 0.5.1 dated 2021-03-02 and 0.6.0 dated 2021-10-18
DESCRIPTION | 12 ++++++------ MD5 | 14 ++++++++------ NAMESPACE | 1 + R/embedding.R |only man/disPairwise.Rd | 2 +- man/elgrin.Rd | 4 ++-- man/embedding.Rd |only src/EltonModel.cpp | 37 ++++++++++++++++++++++++++++++------- src/EnvironmentEffect.h | 2 +- 9 files changed, 49 insertions(+), 23 deletions(-)
Title: R Interface to API 'vk.com'
Description: Load data from vk.com api about your communiti users and views,
ads performance, post on user wall and etc. For more information
see API Documentation <https://vk.com/dev/first_guide>.
Author: Alexey Seleznev
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Diff between rvkstat versions 3.1.0 dated 2021-09-08 and 3.2.0 dated 2021-10-18
DESCRIPTION | 9 +++--- MD5 | 30 ++++++++++++++------- NAMESPACE | 6 +++- NEWS.md | 10 ++++++- R/api_version_checker.R |only R/vkAuth.R | 2 - R/vkGetAdStatistics.R | 62 +++++++++++++++++++++++++++----------------- R/vkGetDbMetroStations.R |only R/vkGetDbSchools.R |only R/vkGetDbUniversities.R |only R/vkGetGroupMembers.R |only R/vkGetGroupStat.R | 18 ++++++++---- R/vkGetUserWall.R | 7 ++-- R/vkLoadToken.R |only README.md | 7 ++-- build/partial.rdb |binary inst |only man/vkGetDbMetroStations.Rd |only man/vkGetDbSchools.Rd |only man/vkGetDbUniversities.Rd |only man/vkGetGroupMembers.Rd |only man/vkLoadToken.Rd |only 22 files changed, 99 insertions(+), 52 deletions(-)
Title: Geographically Weighted Panel Regression
Description: Geographically weighted panel regression is grounded in a branch of spatial statistics. Using geographically weights, the geographically weighted panel regression is try to solve the residuals from panel regression clustering spatially. To investigate whether the residuals cluster spatially, the Moran's I test is also improved. Furthermore, three local statistic tests are contained to help the users select model. The major references are Fotheringham et al. (2003, ISBN:978-0-470-85525-6) and Beenstock and Felsenstein (2019, ISBN:978-3-030-03614-0).
Author: Chao Li [aut, cre] (<https://orcid.org/0000-0002-6854-4456>),
Shunsuke Managi [aut] (<https://orcid.org/0000-0001-7883-1427>)
Maintainer: Chao Li <chaoli0394@gmail.com>
Diff between GWPR.light versions 0.1.0 dated 2021-10-12 and 0.1.1 dated 2021-10-18
DESCRIPTION | 8 +++--- MD5 | 46 ++++++++++++++++++------------------- R/AIC_A.R | 23 +++++++++++++++--- R/AIC_A_para.R | 23 +++++++++++++++--- R/AIC_F.R | 19 ++++++++++++--- R/AIC_F_para.R | 23 +++++++++++++++--- R/GWPR.R | 4 +-- R/GWPR.moran.test.R | 2 - R/GWPR.pFtest.R | 6 ++-- R/GWPR.phtest.R | 6 ++-- R/GWPR.plmtest.R | 2 - R/bw_GWPR.R | 12 ++++----- R/gwpr_A.R | 7 +++-- README.md | 36 ++++++++++++++++------------ build/vignette.rds |binary inst/doc/introduction_of_GWPR.Rmd | 2 - inst/doc/introduction_of_GWPR.html | 5 +--- man/GWPR.Rd | 4 +-- man/GWPR.moran.test.Rd | 2 - man/GWPR.pFtest.Rd | 6 ++-- man/GWPR.phtest.Rd | 8 +++--- man/GWPR.plmtest.Rd | 2 - man/bw.GWPR.Rd | 8 +++--- vignettes/introduction_of_GWPR.Rmd | 2 - 24 files changed, 158 insertions(+), 98 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 and econometrics. Currently, there are functions for efficient
computation of duplication, commutation and symmetrizer matrices with minimal storage
requirements. Some commonly used matrix decompositions (LU and LDL), basic matrix
operations (for instance, Hadamard, Kronecker products and the Sherman-Morrison formula)
and iterative solvers for linear systems are also available. In addition, the package
includes a number of common statistical procedures such as the sweep operator, weighted
mean and covariance matrix using an online algorithm, linear regression (using Cholesky,
QR, SVD, sweep operator and conjugate gradients methods), ridge regression (with optimal
selection of the ridge parameter considering the GCV procedure), functions to compute
the multivariate skewness, kurtosis, Mahalanobis distance (checking the positive
defineteness) and the Wilson-Hilferty transformation of chi squared variables. Furthermore,
the package provides interfaces to C code callable by another C code from other R packages.
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 0.3-819 dated 2021-05-08 and 0.3-8196 dated 2021-10-18
ChangeLog | 6 +++++ DESCRIPTION | 8 +++---- MD5 | 40 ++++++++++++++++++++++---------------- NAMESPACE | 12 +++++------ R/helmert.R |only R/mediancenter.R |only inst/CITATION | 4 +-- man/cov.MSSD.Rd | 2 - man/helmert.Rd |only man/mediancenter.Rd |only src/R_init_fastmatrix.c | 4 ++- src/blas_1.c | 2 - src/blas_2.c | 14 ++++++------- src/blas_3.c | 12 +++++------ src/fastmatrix.h | 12 ++++++++++- src/helmert.f |only src/linear_iterative.c | 4 +-- src/ls_API.c | 6 ++--- src/lu.c | 4 +-- src/matrix_API.c | 50 ++++++++++++++++++++++++------------------------ src/median_center.f |only src/norms.c | 6 ++--- src/ridge.c | 4 +-- src/stats_API.c | 1 24 files changed, 108 insertions(+), 83 deletions(-)
Title: Spatial Sampling Design and Analysis
Description: A design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that are not spatially balanced, select panel samples, measure the amount of spatial balance in a sample, adjust design weights, and more.
Author: Michael Dumelle [aut, cre] (<https://orcid.org/0000-0002-3393-5529>),
Tom Kincaid [aut],
Tony Olsen [aut],
Marc Weber [aut],
Don Stevens [ctb],
Denis White [ctb]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>
Diff between spsurvey versions 4.1.4 dated 2020-09-18 and 5.0.0 dated 2021-10-18
spsurvey-4.1.4/spsurvey/NEWS.md |only spsurvey-4.1.4/spsurvey/R/FL_lakes.R |only spsurvey-4.1.4/spsurvey/R/IN_streams.R |only spsurvey-4.1.4/spsurvey/R/Luck_Ash_streams.R |only spsurvey-4.1.4/spsurvey/R/NE_lakes.R |only spsurvey-4.1.4/spsurvey/R/NLA_2007.R |only spsurvey-4.1.4/spsurvey/R/NRSA_2009.R |only spsurvey-4.1.4/spsurvey/R/SC_estuaries.R |only spsurvey-4.1.4/spsurvey/R/SpatialDesign_class.R |only spsurvey-4.1.4/spsurvey/R/SpatialDesign_methods.R |only spsurvey-4.1.4/spsurvey/R/UT_ecoregions.R |only spsurvey-4.1.4/spsurvey/R/aaa.R |only spsurvey-4.1.4/spsurvey/R/albersgeod.R |only spsurvey-4.1.4/spsurvey/R/ash1.wgt.R |only spsurvey-4.1.4/spsurvey/R/attrisk.analysis.R |only spsurvey-4.1.4/spsurvey/R/attrisk.est.R |only spsurvey-4.1.4/spsurvey/R/attrisk.var.R |only spsurvey-4.1.4/spsurvey/R/cat.analysis.R |only spsurvey-4.1.4/spsurvey/R/category.est.R |only spsurvey-4.1.4/spsurvey/R/catvar.prop.R |only spsurvey-4.1.4/spsurvey/R/catvar.size.R |only spsurvey-4.1.4/spsurvey/R/cdf.decon.R |only spsurvey-4.1.4/spsurvey/R/cdf.est.R |only spsurvey-4.1.4/spsurvey/R/cdf.nresp.R |only spsurvey-4.1.4/spsurvey/R/cdf.plot.R |only spsurvey-4.1.4/spsurvey/R/cdf.prop.R |only spsurvey-4.1.4/spsurvey/R/cdf.size.prop.R |only spsurvey-4.1.4/spsurvey/R/cdf.size.total.R |only spsurvey-4.1.4/spsurvey/R/cdf.test.R |only spsurvey-4.1.4/spsurvey/R/cdf.test.prop.R |only spsurvey-4.1.4/spsurvey/R/cdf.test.size.prop.R |only spsurvey-4.1.4/spsurvey/R/cdf.total.R |only spsurvey-4.1.4/spsurvey/R/cdfvar.prop.R |only spsurvey-4.1.4/spsurvey/R/cdfvar.size.prop.R |only spsurvey-4.1.4/spsurvey/R/cdfvar.size.total.R |only spsurvey-4.1.4/spsurvey/R/cdfvar.test.R |only spsurvey-4.1.4/spsurvey/R/cdfvar.total.R |only spsurvey-4.1.4/spsurvey/R/cell.wt.R |only spsurvey-4.1.4/spsurvey/R/cellWeight.R |only spsurvey-4.1.4/spsurvey/R/change.analysis.R |only spsurvey-4.1.4/spsurvey/R/change.est.R |only spsurvey-4.1.4/spsurvey/R/changevar.mean.R |only 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Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as
'cloud charts'. Static and interactive visualizations with tools for
creating, backtesting and development of quantitative 'ichimoku' strategies.
As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement
on candlestick charting, originating from Japan and now in widespread use in
technical analysis worldwide. Translating as 'one-glance equilibrium chart',
it allows the price action and market structure of financial securities to
be determined 'at-a-glance'. Incorporates an interface with the OANDA
fxTrade API <https://developer.oanda.com/> for retrieving historical and
live streaming price data for major currencies, metals, commodities,
government bonds and stock indices.
Author: Charlie Gao [aut, cre] (<https://orcid.org/0000-0002-0750-061X>)
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Diff between ichimoku versions 1.2.2 dated 2021-10-05 and 1.2.4 dated 2021-10-18
ichimoku-1.2.2/ichimoku/man/reexports.Rd |only ichimoku-1.2.4/ichimoku/DESCRIPTION | 10 ichimoku-1.2.4/ichimoku/MD5 | 136 ++--- ichimoku-1.2.4/ichimoku/NAMESPACE | 9 ichimoku-1.2.4/ichimoku/NEWS.md | 29 + ichimoku-1.2.4/ichimoku/R/archive.R | 21 ichimoku-1.2.4/ichimoku/R/ichimoku-package.R | 23 ichimoku-1.2.4/ichimoku/R/ichimoku.R | 400 +++++++++++++---- ichimoku-1.2.4/ichimoku/R/iplot.R | 13 ichimoku-1.2.4/ichimoku/R/look.R | 21 ichimoku-1.2.4/ichimoku/R/mltools.R | 180 ++++++- ichimoku-1.2.4/ichimoku/R/oanda.R | 185 ++++--- ichimoku-1.2.4/ichimoku/R/plot.R | 45 - ichimoku-1.2.4/ichimoku/R/strat.R | 41 - ichimoku-1.2.4/ichimoku/R/switch.R | 176 ++++--- ichimoku-1.2.4/ichimoku/R/sysdata.rda |binary ichimoku-1.2.4/ichimoku/R/utils.R | 42 + ichimoku-1.2.4/ichimoku/README.md | 16 ichimoku-1.2.4/ichimoku/inst/doc/reference.R | 19 ichimoku-1.2.4/ichimoku/inst/doc/reference.Rmd | 85 ++- ichimoku-1.2.4/ichimoku/inst/doc/reference.html | 136 +++-- ichimoku-1.2.4/ichimoku/inst/doc/strategies.R | 5 ichimoku-1.2.4/ichimoku/inst/doc/strategies.Rmd | 41 + ichimoku-1.2.4/ichimoku/inst/doc/strategies.html | 78 ++- ichimoku-1.2.4/ichimoku/inst/doc/utilities.R | 8 ichimoku-1.2.4/ichimoku/inst/doc/utilities.Rmd | 27 - ichimoku-1.2.4/ichimoku/inst/doc/utilities.html | 89 +-- ichimoku-1.2.4/ichimoku/inst/doc/xoanda.R | 26 - ichimoku-1.2.4/ichimoku/inst/doc/xoanda.Rmd | 50 +- ichimoku-1.2.4/ichimoku/inst/doc/xoanda.html | 50 +- ichimoku-1.2.4/ichimoku/man/archive.Rd | 6 ichimoku-1.2.4/ichimoku/man/as.data.frame.ichimoku.Rd |only ichimoku-1.2.4/ichimoku/man/autoplot.ichimoku.Rd | 8 ichimoku-1.2.4/ichimoku/man/autostrat.Rd | 21 ichimoku-1.2.4/ichimoku/man/coredata.ichimoku.Rd |only ichimoku-1.2.4/ichimoku/man/df_append.Rd | 3 ichimoku-1.2.4/ichimoku/man/extraplot.Rd | 8 ichimoku-1.2.4/ichimoku/man/ichimoku-package.Rd | 9 ichimoku-1.2.4/ichimoku/man/ichimoku.Rd | 27 - ichimoku-1.2.4/ichimoku/man/index.ichimoku.Rd |only ichimoku-1.2.4/ichimoku/man/iplot.Rd | 3 ichimoku-1.2.4/ichimoku/man/matrix_df.Rd | 8 ichimoku-1.2.4/ichimoku/man/mlgrid.Rd | 22 ichimoku-1.2.4/ichimoku/man/oanda.Rd | 13 ichimoku-1.2.4/ichimoku/man/oanda_chart.Rd | 7 ichimoku-1.2.4/ichimoku/man/oanda_instruments.Rd | 4 ichimoku-1.2.4/ichimoku/man/oanda_positions.Rd | 2 ichimoku-1.2.4/ichimoku/man/oanda_quote.Rd | 2 ichimoku-1.2.4/ichimoku/man/oanda_set_key.Rd | 16 ichimoku-1.2.4/ichimoku/man/oanda_stream.Rd | 9 ichimoku-1.2.4/ichimoku/man/oanda_studio.Rd | 14 ichimoku-1.2.4/ichimoku/man/oanda_switch.Rd | 2 ichimoku-1.2.4/ichimoku/man/oanda_view.Rd | 10 ichimoku-1.2.4/ichimoku/man/plot.ichimoku.Rd | 5 ichimoku-1.2.4/ichimoku/man/print.ichimoku.Rd | 14 ichimoku-1.2.4/ichimoku/man/relative.Rd |only ichimoku-1.2.4/ichimoku/man/str.ichimoku.Rd |only ichimoku-1.2.4/ichimoku/man/strat.Rd | 2 ichimoku-1.2.4/ichimoku/man/stratcombine.Rd | 2 ichimoku-1.2.4/ichimoku/man/summary.ichimoku.Rd | 29 - ichimoku-1.2.4/ichimoku/man/xts_df.Rd | 8 ichimoku-1.2.4/ichimoku/tests/testthat/test-archive.R | 8 ichimoku-1.2.4/ichimoku/tests/testthat/test-ichimoku.R | 101 +++- ichimoku-1.2.4/ichimoku/tests/testthat/test-iplot.R | 4 ichimoku-1.2.4/ichimoku/tests/testthat/test-mltools.R | 32 - ichimoku-1.2.4/ichimoku/tests/testthat/test-oanda.R | 1 ichimoku-1.2.4/ichimoku/tests/testthat/test-strat.R | 19 ichimoku-1.2.4/ichimoku/tests/testthat/test-utils.R | 42 - ichimoku-1.2.4/ichimoku/vignettes/reference.Rmd | 85 ++- ichimoku-1.2.4/ichimoku/vignettes/strategies.Rmd | 41 + ichimoku-1.2.4/ichimoku/vignettes/utilities.Rmd | 27 - ichimoku-1.2.4/ichimoku/vignettes/xoanda.Rmd | 50 +- 72 files changed, 1633 insertions(+), 992 deletions(-)
Title: Hidden Hybrid Markov/Semi-Markov Model Fitting
Description: Develops algorithms for fitting, prediction, simulation and initialization of the hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) <doi:10.1016/j.csda.2004.05.033>.
Author: Morteza Amini [aut, cre, cph],
Afarin Bayat [aut]
Maintainer: Morteza Amini <morteza.amini@ut.ac.ir>
Diff between hhsmm versions 0.2.0 dated 2021-10-13 and 0.2.1 dated 2021-10-18
DESCRIPTION | 8 +-- MD5 | 16 +++---- R/cov-miss-mix-wt.R | 2 R/initial-cluster.R | 10 ++-- R/plot-hhsmm-data.R | 9 +--- R/train-test-split.R | 99 +++++++++++++++++++++++++++++++----------------- man/cov.miss.mix.wt.Rd | 2 man/initial_cluster.Rd | 2 man/train_test_split.Rd | 20 +++++++-- 9 files changed, 103 insertions(+), 65 deletions(-)
Title: Geostatistics for Compositional Analysis
Description: Support for geostatistical analysis of multivariate data,
in particular data with restrictions, e.g. positive amounts data,
compositional data, distributional data, microstructural data, etc.
It includes descriptive analysis and modelling for such data, both
from a two-point Gaussian perspective and multipoint perspective.
The methods mainly follow Tolosana-Delgado, Mueller and van den
Boogaart (2018) <doi:10.1007/s11004-018-9769-3>.
Author: Raimon Tolosana-Delgado [aut] (<https://orcid.org/0000-0001-9847-0462>),
Ute Mueller [aut],
K. Gerald van den Boogaart [ctb, cre],
Hassan Talebi [ctb, cph],
Helmholtz-Zentrum Dresden-Rossendorf [cph],
Edith Cowan University [cph]
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>
Diff between gmGeostats versions 0.10-9 dated 2021-09-17 and 0.11.0 dated 2021-10-18
DESCRIPTION | 10 +-- MD5 | 22 ++++---- NAMESPACE | 2 NEWS.md | 12 ++++ R/gmSpatialModel.R | 51 ++++++++++++++----- R/gstatCompatibility.R | 9 ++- inst/doc/register_new_layer_datatype.R | 27 +++++----- inst/doc/register_new_layer_datatype.Rmd | 31 ++++++----- inst/doc/register_new_layer_datatype.html | 80 +++++++++++++----------------- man/fit_lmc.Rd | 17 ++++++ man/predict_gmSpatialModel.Rd | 9 ++- vignettes/register_new_layer_datatype.Rmd | 31 ++++++----- 12 files changed, 180 insertions(+), 121 deletions(-)
Title: Detect the Language of Text
Description: With no external dependencies and
support for 335 languages; all languages spoken by
more than one million speakers. 'Franc' is a port
of the 'JavaScript' project of the same name,
see <https://github.com/wooorm/franc>.
Author: Gabor Csardi, Titus Wormer, Maciej Ceglowski, Jacob R. Rideout,
and Kent S. Johnson
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Diff between franc versions 1.1.3 dated 2021-01-27 and 1.1.4 dated 2021-10-18
DESCRIPTION | 7 +++---- MD5 | 12 ++++++------ NEWS.md | 4 ++++ R/speakers.R | 4 ++-- R/trigrams.R | 7 ++++++- man/speakers.Rd | 4 ++-- tests/testthat.R | 2 +- 7 files changed, 24 insertions(+), 16 deletions(-)
Title: Spider Knowledge Online
Description: Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
Author: Pedro Cardoso [aut, cre]
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>
Diff between spidR versions 1.0.1 dated 2021-04-19 and 1.0.2 dated 2021-10-18
DESCRIPTION | 12 +++++------ MD5 | 4 +-- R/spidR.R | 61 ++++++++++++++++++++---------------------------------------- 3 files changed, 29 insertions(+), 48 deletions(-)
Title: Mixture Hidden Markov Models for Social Sequence Data and Other
Multivariate, Multichannel Categorical Time Series
Description: Designed for fitting hidden (latent) Markov models and mixture
hidden Markov models for social sequence data and other categorical time series.
Also some more restricted versions of these type of models are available: Markov
models, mixture Markov models, and latent class models. The package supports
models for one or multiple subjects with one or multiple parallel sequences
(channels). External covariates can be added to explain cluster membership in
mixture models. The package provides functions for evaluating and comparing
models, as well as functions for visualizing of multichannel sequence data and
hidden Markov models. Models are estimated using maximum likelihood via the EM
algorithm and/or direct numerical maximization with analytical gradients. All
main algorithms are written in C++ with support for parallel computation.
Documentation is available via several vignettes in this page, and the
paper by Helske and Helske (2019, <doi:10.18637/jss.v088.i03>).
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>),
Satu Helske [aut] (<https://orcid.org/0000-0003-0532-0153>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Diff between seqHMM versions 1.1.1 dated 2021-08-13 and 1.2.0 dated 2021-10-18
DESCRIPTION | 10 MD5 | 16 NEWS | 366 - R/fit_model.R | 2486 +++++------ inst/doc/seqHMM.pdf | 5350 ++++++++++++++--------- inst/doc/seqHMM_algorithms.pdf |binary inst/doc/seqHMM_estimation.pdf |binary inst/doc/seqHMM_visualization.pdf | 8525 ++++++++++++++++++++++++++++++++------ man/fit_model.Rd | 35 9 files changed, 12269 insertions(+), 4519 deletions(-)
Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between secr versions 4.4.5 dated 2021-07-12 and 4.4.7 dated 2021-10-18
secr-4.4.5/secr/src/utils.cpp |only secr-4.4.7/secr/DESCRIPTION | 14 - secr-4.4.7/secr/MD5 | 138 ++++++++-------- secr-4.4.7/secr/NAMESPACE | 8 secr-4.4.7/secr/NEWS | 26 ++- secr-4.4.7/secr/R/DENSITY.R | 26 ++- secr-4.4.7/secr/R/RcppExports.R | 76 ++++----- secr-4.4.7/secr/R/addCovariates.R | 16 + secr-4.4.7/secr/R/addSightings.R | 1 secr-4.4.7/secr/R/autoini.R | 39 ++-- secr-4.4.7/secr/R/empirical.R | 55 +++--- secr-4.4.7/secr/R/esa.R | 34 ++-- secr-4.4.7/secr/R/fastsecrloglik.R | 62 +++---- secr-4.4.7/secr/R/fxi.R | 60 +++---- secr-4.4.7/secr/R/generalsecrloglik.R | 227 +++++++++++++++------------ secr-4.4.7/secr/R/loglikhelperfn.R | 41 +++- secr-4.4.7/secr/R/make.capthist.R | 28 ++- secr-4.4.7/secr/R/model.average.R | 38 ++++ secr-4.4.7/secr/R/pdot.R | 30 +-- secr-4.4.7/secr/R/plot.capthist.r | 12 + secr-4.4.7/secr/R/regionN.R | 75 ++------ secr-4.4.7/secr/R/score.test.R | 5 secr-4.4.7/secr/R/secr.fit.R | 10 - secr-4.4.7/secr/R/secr.make.newdata.R | 6 secr-4.4.7/secr/R/sim.popn.R | 134 ++++++++++----- secr-4.4.7/secr/R/sim.secr.R | 27 ++- secr-4.4.7/secr/R/snip.R | 37 ++-- secr-4.4.7/secr/R/suggest.buffer.R | 4 secr-4.4.7/secr/R/trap.builder.R | 28 ++- secr-4.4.7/secr/R/utility.R | 1 secr-4.4.7/secr/R/verify.R | 16 - secr-4.4.7/secr/inst/doc/secr-datainput.pdf |binary secr-4.4.7/secr/inst/doc/secr-overview.Rmd | 8 secr-4.4.7/secr/inst/doc/secr-overview.pdf |binary secr-4.4.7/secr/man/PG.Rd | 4 secr-4.4.7/secr/man/addCovariates.Rd | 2 secr-4.4.7/secr/man/details.Rd | 3 secr-4.4.7/secr/man/empirical.Rd | 4 secr-4.4.7/secr/man/extractMoves.Rd | 15 + secr-4.4.7/secr/man/make.capthist.Rd | 4 secr-4.4.7/secr/man/read.telemetry.Rd | 4 secr-4.4.7/secr/man/secr-defunct.Rd |only secr-4.4.7/secr/man/secr-deprecated.Rd |only secr-4.4.7/secr/man/secr-package.Rd | 4 secr-4.4.7/secr/man/smooths.Rd | 3 secr-4.4.7/secr/man/snip.Rd | 4 secr-4.4.7/secr/man/sort.Rd | 3 secr-4.4.7/secr/man/trap.builder.Rd | 5 secr-4.4.7/secr/man/turnover.Rd | 31 ++- secr-4.4.7/secr/src/RcppExports.cpp | 225 ++++++++++++++------------ secr-4.4.7/secr/src/autils.cpp |only secr-4.4.7/secr/src/autoini.cpp | 6 secr-4.4.7/secr/src/detectfn.cpp | 47 ++++- secr-4.4.7/secr/src/getdenom.cpp | 20 +- secr-4.4.7/secr/src/makegk.cpp | 31 ++- secr-4.4.7/secr/src/makegkpoly.cpp | 6 secr-4.4.7/secr/src/pdot.cpp | 21 +- secr-4.4.7/secr/src/poly.h | 12 - secr-4.4.7/secr/src/polygonN.cpp | 46 ++++- secr-4.4.7/secr/src/prwifastproximity.cpp | 8 secr-4.4.7/secr/src/prwipolygon.cpp | 17 +- secr-4.4.7/secr/src/prwipolygonfxi.cpp | 17 +- secr-4.4.7/secr/src/prwisignal.cpp | 20 +- secr-4.4.7/secr/src/prwisimple.cpp | 14 - secr-4.4.7/secr/src/prwisimplefxi.cpp | 8 secr-4.4.7/secr/src/secr.h | 102 +++++------- secr-4.4.7/secr/src/sighting.cpp | 60 ++++--- secr-4.4.7/secr/src/sightingchat.cpp | 13 - secr-4.4.7/secr/src/sightingexpectedmusk.cpp | 2 secr-4.4.7/secr/src/simsecr.cpp | 17 +- secr-4.4.7/secr/src/trapping.cpp | 7 secr-4.4.7/secr/vignettes/secr-overview.Rmd | 8 72 files changed, 1198 insertions(+), 877 deletions(-)
Title: Generalized Correlations and Various Causal Paths
Description: Since causal paths from data are important for all sciences, the
package provides many sophisticated functions. causeSummBlk()
gives easy-to-interpret causal paths. Let Z denote control variables and compare
two flipped kernel regressions: X=f(Y, Z)+e1 and Y=g(X,Z)+e2. Our criterion Cr1
says that if |e1*Y|>|e2*X| then variation in X is more "exogenous or independent"
than in Y and causal path is X to Y. Criterion Cr2 requires |e2|<|e1|. These
inequalities between many absolute values are quantified by four orders of
stochastic dominance. Our third criterion Cr3 for the causal path X to Y
requires new generalized partial correlations to satisfy |r*(x|y,z)|< |r*(y|x,z)|.
The function parcorVec() reports generalized partials between the first
variable and all others. The package provides several R functions including
get0outliers() for outlier detection, bigfp() for numerical integration by the
trapezoidal rule, stochdom2() for stochastic dominance, pillar3D() for 3D charts,
canonRho() for generalized canonical correlations, depMeas() measures nonlinear
dependence, and causeSummary(mtx) reports summary of causal paths among matrix columns
is easiest to use. Several functions whose names begin with 'boot' provide bootstrap
statistical inference including a new bootGcRsq() test for "Granger-causality"
allowing nonlinear relations. See five vignettes of the package for theory
and usage tips. See Vinod (2019) \doi{10.1080/03610918.2015.1122048}.
Author: Prof. H. D. Vinod, Fordham University, NY.
Maintainer: H. D. Vinod <vinod@fordham.edu>
Diff between generalCorr versions 1.1.8 dated 2020-12-02 and 1.1.9 dated 2021-10-18
DESCRIPTION | 15 +-- MD5 | 162 ++++++++++++++++++++----------------- NAMESPACE | 9 ++ NEWS | 3 R/GcRsqX12.R | 4 R/GcRsqX12c.R | 4 R/absBstdres.R | 2 R/absBstdresC.R | 2 R/abs_stdres.R | 2 R/abs_stdresC.R | 4 R/abs_stdrhserC.R | 2 R/causeAllPair.R |only R/causeSumNoP.R |only R/causeSummBlk.R | 41 ++++----- R/causeSummary.R | 47 +++++----- R/crosspLarge.R |only R/depMeas.R | 17 ++- R/generalCorrInfo.R | 105 ++++++++++++----------- R/kern.R | 2 R/kern2.R | 2 R/kern2ctrl.R | 2 R/kern_ctrl.R | 2 R/mag.R | 2 R/mag_ctrl.R | 2 R/parcorBMany.R | 5 - R/parcorHijk.R |only R/parcorVec.R |only R/parcorVecH.R |only R/pcause.R | 2 R/probSign.R | 2 R/siPairsBlk.R | 2 R/silentMtx.R | 2 R/silentMtx0.R | 6 - R/silentPairs.R | 2 R/silentPairs0.R | 2 R/some0Pairs.R | 2 R/someCPairs.R | 6 - R/someCPairs2.R | 6 - R/someMagPairs.R | 2 R/somePairs.R | 2 R/somePairs2.R | 2 R/stdres.R | 2 R/sudoCoefParcor.R |only R/sudoCoefParcorH.R |only R/symmze.R | 2 build/partial.rdb |only build/vignette.rds |binary inst/doc/generalCorr-vignette.pdf |binary inst/doc/generalCorr-vignette2.pdf |binary inst/doc/generalCorr-vignette3.pdf |binary inst/doc/generalCorr-vignette5.pdf |binary man/GcRsqX12.Rd | 6 - man/GcRsqX12c.Rd | 6 - man/absBstdres.Rd | 2 man/absBstdresC.Rd | 2 man/abs_stdres.Rd | 2 man/abs_stdresC.Rd | 4 man/abs_stdrhserC.Rd | 2 man/causeAllPair.Rd |only man/causeSumNoP.Rd |only man/causeSummBlk.Rd | 41 ++++----- man/causeSummary.Rd | 46 +++++----- man/depMeas.Rd | 16 ++- man/generalCorrInfo.Rd | 99 +++++++++++----------- man/kern.Rd | 2 man/kern2.Rd | 2 man/kern2ctrl.Rd | 2 man/kern_ctrl.Rd | 2 man/mag.Rd | 2 man/mag_ctrl.Rd | 2 man/parcorBMany.Rd | 5 - man/parcorHijk.Rd |only man/parcorVec.Rd |only man/parcorVecH.Rd |only man/pcause.Rd | 2 man/probSign.Rd | 2 man/siPairsBlk.Rd | 2 man/silentMtx.Rd | 2 man/silentMtx0.Rd | 4 man/silentPairs.Rd | 2 man/silentPairs0.Rd | 2 man/some0Pairs.Rd | 2 man/someCPairs.Rd | 4 man/someCPairs2.Rd | 4 man/someMagPairs.Rd | 2 man/somePairs.Rd | 2 man/somePairs2.Rd | 2 man/stdres.Rd | 2 man/sudoCoefParcor.Rd |only man/sudoCoefParcorH.Rd |only 90 files changed, 400 insertions(+), 355 deletions(-)
Title: Tools for DYRESM-CAEDYM Model Development: Calibration Assistant
and Post-Processing
Description: Tools for DYRESM-CAEDYM model development, including assisting with calibrating selected model parameters and visualising model output through time series plot, profile plot, contour plot, and scatter plot.
Author: Songyan Yu [aut, cre] (<https://orcid.org/0000-0001-5765-7060>),
Christopher McBride [ctb],
Marieke Frassl [ctb]
Maintainer: Songyan Yu <sunny.yu@griffith.edu.au>
Diff between dycdtools versions 0.3.0 dated 2021-09-19 and 0.3.1 dated 2021-10-18
dycdtools-0.3.0/dycdtools/R/test.R |only dycdtools-0.3.1/dycdtools/DESCRIPTION | 6 dycdtools-0.3.1/dycdtools/MD5 | 45 ++--- dycdtools-0.3.1/dycdtools/NEWS.md | 3 dycdtools-0.3.1/dycdtools/R/Fun_Contour-plot_sim.R | 4 dycdtools-0.3.1/dycdtools/R/Fun_Extract-simulation.R | 3 dycdtools-0.3.1/dycdtools/R/Fun_Profile-plot.R | 2 dycdtools-0.3.1/dycdtools/R/Fun_Scatter-plot.R | 2 dycdtools-0.3.1/dycdtools/R/Fun_TS-plot.R | 2 dycdtools-0.3.1/dycdtools/man/calib.assist.Rd | 144 ++++++++-------- dycdtools-0.3.1/dycdtools/man/change_input_file.Rd | 36 ++-- dycdtools-0.3.1/dycdtools/man/delete.space.Rd | 28 +-- dycdtools-0.3.1/dycdtools/man/ext.output.Rd | 75 ++++---- dycdtools-0.3.1/dycdtools/man/hgt.to.dpt.Rd | 28 +-- dycdtools-0.3.1/dycdtools/man/interpol.Rd | 72 ++++---- dycdtools-0.3.1/dycdtools/man/objective.fun.Rd | 76 ++++---- dycdtools-0.3.1/dycdtools/man/obs_temp.Rd | 52 ++--- dycdtools-0.3.1/dycdtools/man/output_name.Rd | 48 ++--- dycdtools-0.3.1/dycdtools/man/plot_cont.Rd | 148 ++++++++-------- dycdtools-0.3.1/dycdtools/man/plot_cont_comp.Rd | 170 +++++++++---------- dycdtools-0.3.1/dycdtools/man/plot_prof.Rd | 148 ++++++++-------- dycdtools-0.3.1/dycdtools/man/plot_scatter.Rd | 146 ++++++++-------- dycdtools-0.3.1/dycdtools/man/plot_ts.Rd | 162 +++++++++--------- dycdtools-0.3.1/dycdtools/man/run.iteration.Rd | 32 +-- 24 files changed, 718 insertions(+), 714 deletions(-)