Title: Fit 'TabNet' Models for Classification and Regression
Description: Implements the 'TabNet' model by Sercan O. Arik et al (2019) <arXiv:1908.07442>
and provides a consistent interface for fitting and creating predictions. It's
also fully compatible with the 'tidymodels' ecosystem.
Author: Daniel Falbel [aut, cre],
RStudio [cph],
Christophe Regouby [ctb]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between tabnet versions 0.1.0 dated 2021-01-14 and 0.2.0 dated 2021-06-22
DESCRIPTION | 21 - MD5 | 61 ++-- NAMESPACE | 8 NEWS.md |only R/dials.R | 31 ++ R/hardhat.R | 345 ++++++++++++++++++++++-- R/model.R | 199 ++++++++++--- R/package.R | 18 + R/parsnip.R | 2 R/plot.R |only R/pretraining.R |only R/sparsemax.R | 65 ++++ R/tab-network.R | 261 +++++++++++++++++- README.md | 24 + build/vignette.rds |binary inst/doc/interpretation.R | 43 --- inst/doc/interpretation.Rmd | 159 +++++------ inst/doc/interpretation.html | 455 +++++++------------------------- inst/doc/tidymodels-interface.html | 274 ++----------------- inst/doc/unsupervised_training.R |only inst/doc/unsupervised_training.Rmd |only inst/doc/unsupervised_training.html |only man/autoplot.tabnet_explain.Rd |only man/autoplot.tabnet_fit.Rd |only man/tabnet.Rd | 2 man/tabnet_config.Rd | 15 - man/tabnet_fit.Rd | 62 +++- man/tabnet_params.Rd | 10 man/tabnet_pretrain.Rd |only tests/testthat/_snaps/hardhat.md | 21 + tests/testthat/_snaps/unsupervised.md |only tests/testthat/test-hardhat-scenarios.R |only tests/testthat/test-hardhat.R | 249 +++++++++++++++++ tests/testthat/test-plots.R |only tests/testthat/test-unsupervised.R |only vignettes/interpretation.Rmd | 159 +++++------ vignettes/pretrained_model.png |only vignettes/pretraining_loss.png |only vignettes/unsupervised_training.Rmd |only vignettes/vanillia_model.png |only 40 files changed, 1548 insertions(+), 936 deletions(-)
Title: Read and Write Rectangular Text Data Quickly
Description: The goal of 'vroom' is to read and write data (like
'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial
indexing step, then reads the values lazily , so only the data you
actually use needs to be read. The writer formats the data in
parallel and writes to disk asynchronously from formatting.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>),
Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>),
https://github.com/mandreyel/ [cph] (mio library),
Jukka Jylänki [cph] (grisu3 implementation),
Mikkel Jørgensen [cph] (grisu3 implementation),
RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>
Diff between vroom versions 1.5.0 dated 2021-06-14 and 1.5.1 dated 2021-06-22
DESCRIPTION | 6 MD5 | 70 ++-- NEWS.md | 6 README.md | 12 build/vroom.pdf |binary inst/bench/all_character-long.tsv | 192 ++++++------ inst/bench/all_character-wide.tsv | 192 ++++++------ inst/bench/all_numeric-long.tsv | 224 +++++++------- inst/bench/all_numeric-wide.tsv | 224 +++++++------- inst/bench/fwf.tsv | 160 +++++----- inst/bench/session_info.tsv | 4 inst/bench/taxi.tsv | 192 ++++++------ inst/bench/taxi_multiple.tsv | 160 +++++----- inst/bench/taxi_writing.tsv | 120 +++---- inst/doc/benchmarks.html | 584 +++++++++++++++++++------------------- inst/doc/vroom.html | 2 man/vroom-package.Rd | 2 src/altrep.cc | 17 - src/vroom.h | 2 src/vroom_big_int.h | 17 - src/vroom_chr.h | 4 src/vroom_date.h | 2 src/vroom_dbl.h | 2 src/vroom_dttm.h | 2 src/vroom_fct.cc | 30 - src/vroom_fct.h | 68 +++- src/vroom_int.h | 7 src/vroom_num.h | 2 src/vroom_time.h | 2 src/vroom_vec.h | 44 ++ tests/testthat/test-big-int.R | 5 tests/testthat/test-dbl.R | 5 tests/testthat/test-int.R | 5 tests/testthat/test-logical.R | 4 tests/testthat/test-problems.R | 8 tests/testthat/test-vroom.R | 3 36 files changed, 1237 insertions(+), 1142 deletions(-)
Title: Methods and Measures for Semantic Network Analysis
Description: Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Author: Alexander P. Christensen [aut, cre]
(<https://orcid.org/0000-0002-9798-7037>),
Yoed N. Kenett [aut, ctb] (<https://orcid.org/0000-0003-3872-7689>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>
Diff between SemNeT versions 1.4.1 dated 2020-12-04 and 1.4.2 dated 2021-06-22
DESCRIPTION | 8 MD5 | 110 ++--- NAMESPACE | 2 NEWS | 11 R/CC.R | 1 R/CN.R | 1 R/NRW.R | 49 +- R/SemNeT.R | 3 R/bootSemNeT.R | 14 R/compare_nets.R | 3 R/convert2cytoscape.R | 1 R/net.high.R | 1 R/net.low.R | 1 R/open.binary.R | 1 R/open.clean.R | 1 R/open.group.R | 1 R/randnet.test.R | 12 R/randwalk.R | 1 R/response.analysis.R | 1 R/test.bootSemNeT.R | 386 +++++++++++++----- R/utils-SemNeT.R | 984 +++++++++++++++++++++++++++++------------------ R/utils-SemNeTShiny.R | 797 ++++++++++++++++++++++++++------------ R/vignette.plots.R | 1 inst/Shiny/server.R | 810 ++++++++++++++++++++++++-------------- inst/Shiny/ui.R | 10 man/ASPL.Rd | 74 +-- man/CC.Rd | 75 +-- man/CN.Rd | 123 ++--- man/NRW.Rd | 127 +++--- man/PF.Rd | 78 +-- man/Q.Rd | 72 +-- man/SemNeT-package.Rd | 79 +-- man/SemNeTShiny.Rd | 108 ++--- man/TMFG.Rd | 142 +++--- man/bootSemNeT.Rd | 288 ++++++------- man/compare_nets.Rd | 213 +++++----- man/convert2cytoscape.Rd | 97 ++-- man/convert2igraph.Rd | 80 +-- man/equate.Rd | 88 ++-- man/finalize.Rd | 68 +-- man/net.high.Rd | 49 +- man/net.low.Rd | 49 +- man/open.binary.Rd | 51 +- man/open.clean.Rd | 51 +- man/open.group.Rd | 51 +- man/plot.animateShiny.Rd | 88 ++-- man/plot.bootSemNeT.Rd | 78 +-- man/plot.compareShiny.Rd | 143 +++--- man/randnet.test.Rd | 110 ++--- man/randwalk.Rd | 135 +++--- man/response.analysis.Rd | 95 ++-- man/semnetmeas.Rd | 92 ++-- man/sim.fluency.Rd | 82 +-- man/similarity.Rd | 150 +++---- man/test.bootSemNeT.Rd | 293 +++++++------ man/vignette.plots.Rd | 49 +- 56 files changed, 3709 insertions(+), 2779 deletions(-)
Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new
approach to the statistical analysis of multi-valued data, we consider
histogram-valued data, i.e., data described by univariate histograms. The
methods and the basic statistics for histogram-valued data are mainly based
on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric
between quantile functions. The package contains unsupervised classification
techniques, least square regression and tools for histogram-valued data and for
histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi: 10.1007/s11634-014-0176-4>.
Author: Antonio Irpino [aut, cre] (<https://orcid.org/0000-0001-9293-7180>)
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>
Diff between HistDAWass versions 1.0.5 dated 2021-05-24 and 1.0.6 dated 2021-06-22
DESCRIPTION | 10 +-- MD5 | 15 ++-- NAMESPACE | 1 R/Plotting_with_ggplot.R | 2 R/unsuperv_classification.R | 35 +++++++++++ README.md | 134 +++++++++++++++++++------------------------- build/partial.rdb |binary data/HData.RData |binary man/WH_MAT_DIST.Rd |only 9 files changed, 108 insertions(+), 89 deletions(-)
Title: Hospital Data Analysis Workflow Tools
Description: Hospital data analysis workflow tools, modeling, and automations. This library
provides many useful tools to review common administrative hospital data. Some
of these include average length of stay, readmission rates, average net pay
amounts by service lines just to name a few. The aim is to provide a simple
and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre],
Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Diff between healthyR versions 0.1.4 dated 2021-06-13 and 0.1.5 dated 2021-06-22
healthyR-0.1.4/healthyR/R/ts_ymwdh_tbl.R |only healthyR-0.1.4/healthyR/man/ts_ymwdh_tbl.Rd |only healthyR-0.1.5/healthyR/DESCRIPTION | 10 healthyR-0.1.5/healthyR/MD5 | 91 healthyR-0.1.5/healthyR/NAMESPACE | 4 healthyR-0.1.5/healthyR/NEWS.md | 18 healthyR-0.1.5/healthyR/R/00_global_variables.R | 2 healthyR-0.1.5/healthyR/R/data_tbl_functions.R | 1055 +++++----- healthyR-0.1.5/healthyR/R/kmeans-funcs.R | 71 healthyR-0.1.5/healthyR/R/los_ra_index_plt.R | 313 +- healthyR-0.1.5/healthyR/R/sql_string_split.R | 136 - healthyR-0.1.5/healthyR/R/time_series_plots.R | 704 +++--- healthyR-0.1.5/healthyR/R/ts_median_excess_plt.R | 266 +- healthyR-0.1.5/healthyR/R/ts_signature_tbl.R |only healthyR-0.1.5/healthyR/R/umap_list.R |only healthyR-0.1.5/healthyR/README.md | 49 healthyR-0.1.5/healthyR/build/vignette.rds |binary healthyR-0.1.5/healthyR/inst/doc/getting-started.R | 41 healthyR-0.1.5/healthyR/inst/doc/getting-started.Rmd | 199 - healthyR-0.1.5/healthyR/inst/doc/getting-started.html | 53 healthyR-0.1.5/healthyR/inst/doc/kmeans-umap.R |only healthyR-0.1.5/healthyR/inst/doc/kmeans-umap.Rmd |only healthyR-0.1.5/healthyR/inst/doc/kmeans-umap.html |only healthyR-0.1.5/healthyR/man/category_counts_tbl.Rd | 12 healthyR-0.1.5/healthyR/man/figures/README-example-1.png |binary healthyR-0.1.5/healthyR/man/figures/README-gartner_chart-1.png |binary healthyR-0.1.5/healthyR/man/figures/lifecycle-archived.svg |only healthyR-0.1.5/healthyR/man/figures/lifecycle-defunct.svg |only healthyR-0.1.5/healthyR/man/figures/lifecycle-deprecated.svg |only healthyR-0.1.5/healthyR/man/figures/lifecycle-experimental.svg |only healthyR-0.1.5/healthyR/man/figures/lifecycle-maturing.svg |only healthyR-0.1.5/healthyR/man/figures/lifecycle-questioning.svg |only healthyR-0.1.5/healthyR/man/figures/lifecycle-stable.svg |only healthyR-0.1.5/healthyR/man/figures/lifecycle-superseded.svg |only healthyR-0.1.5/healthyR/man/kmeans_mapped_tbl.Rd | 7 healthyR-0.1.5/healthyR/man/kmeans_obj.Rd | 7 healthyR-0.1.5/healthyR/man/kmeans_scree_data_tbl.Rd | 7 healthyR-0.1.5/healthyR/man/kmeans_scree_plt.Rd | 7 healthyR-0.1.5/healthyR/man/kmeans_tidy_tbl.Rd | 11 healthyR-0.1.5/healthyR/man/kmeans_user_item_tbl.Rd | 15 healthyR-0.1.5/healthyR/man/los_ra_index_plt.Rd | 4 healthyR-0.1.5/healthyR/man/los_ra_index_summary_tbl.Rd | 12 healthyR-0.1.5/healthyR/man/named_item_list.Rd | 6 healthyR-0.1.5/healthyR/man/sql_left.Rd | 8 healthyR-0.1.5/healthyR/man/sql_mid.Rd | 10 healthyR-0.1.5/healthyR/man/sql_right.Rd | 8 healthyR-0.1.5/healthyR/man/ts_alos_plt.Rd | 42 healthyR-0.1.5/healthyR/man/ts_census_los_daily_tbl.Rd | 4 healthyR-0.1.5/healthyR/man/ts_median_excess_plt.Rd | 28 healthyR-0.1.5/healthyR/man/ts_plt.Rd | 14 healthyR-0.1.5/healthyR/man/ts_readmit_rate_plt.Rd | 10 healthyR-0.1.5/healthyR/man/ts_signature_tbl.Rd |only healthyR-0.1.5/healthyR/man/umap_list.Rd |only healthyR-0.1.5/healthyR/man/umap_plt.Rd |only healthyR-0.1.5/healthyR/vignettes/getting-started.Rmd | 199 - healthyR-0.1.5/healthyR/vignettes/kmeans-umap.Rmd |only 56 files changed, 1797 insertions(+), 1626 deletions(-)
Title: Infer Geographic Origin from Isotopic Data
Description: Routines for re-scaling isotope maps using known-origin tissue isotope data, assigning origin of unknown samples, and summarizing and assessing assignment results. Methods are adapted from Wunder (2010, in ISBN:9789048133536) and Vander Zanden, H. B. et al. (2014) <doi:10.1111/2041-210X.12229> as described in Ma, C. et al. (2020) <doi:10.1111/2041-210X.13426>.
Author: Chao Ma, Gabe Bowen
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>
Diff between assignR versions 2.1.0 dated 2021-06-10 and 2.1.1 dated 2021-06-22
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 3 +++ R/getIsoscapes.R | 15 +++++++++++---- R/sysdata.rda |binary README.md | 18 +++++++++++------- build/partial.rdb |binary inst/doc/assignR.html | 24 ++++++++++++------------ 8 files changed, 47 insertions(+), 33 deletions(-)
Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code
ported from S-PLUS. A modern 'MySQL' client based on 'Rcpp' is available
from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>),
David James [aut],
Saikat DebRoy [aut],
Hadley Wickham [aut],
Jeffrey Horner [aut],
RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between RMySQL versions 0.10.21 dated 2020-12-15 and 0.10.22 dated 2021-06-22
DESCRIPTION | 6 +++--- MD5 | 9 +++++---- NEWS.md | 4 ++++ src/Makevars.ucrt |only src/Makevars.win | 2 +- src/db-apply.c | 4 +--- 6 files changed, 14 insertions(+), 11 deletions(-)
Title: Data Sets and Supplemental Functions from 'OpenIntro' Textbooks
and Labs
Description: Supplemental functions and data for 'OpenIntro' resources, which
includes open-source textbooks and resources for introductory statistics
(<https://www.openintro.org/>). The package contains data sets used in our
open-source textbooks along with custom plotting functions for reproducing
book figures. Note that many functions and examples include color
transparency; some plotting elements may not show up properly (or at all)
when run in some versions of Windows operating system.
Author: Mine Çetinkaya-Rundel [aut, cre]
(<https://orcid.org/0000-0001-6452-2420>),
David Diez [aut],
Andrew Bray [aut],
Albert Y. Kim [aut] (<https://orcid.org/0000-0001-7824-306X>),
Ben Baumer [aut],
Chester Ismay [aut],
Nick Paterno [aut],
Christopher Barr [aut]
Maintainer: Mine Çetinkaya-Rundel <cetinkaya.mine@gmail.com>
Diff between openintro versions 2.1.0 dated 2021-04-19 and 2.2.0 dated 2021-06-22
DESCRIPTION | 11 +++--- MD5 | 74 ++++++++++++++++++++++++++++-------------- NEWS.md | 8 ++++ R/data-biontech_adolescents.R |only R/data-daycare_fines.R |only R/data-duke_forest.R |only R/data-epa2012.R | 3 + R/data-epa2021.R |only R/data-lizard_habitat.R |only R/data-lizard_run.R |only R/data-marathon.R | 7 +-- R/data-murders.R | 16 +++++---- R/data-nyc_marathon.R |only R/data-possum.R | 8 ++-- R/data-president.R | 26 ++++++++------ R/data-resume.R | 2 - R/data-salinity.R | 3 - R/data-sex_discrimination.R |only R/data-unempl.R | 7 +-- R/data-unemploy_pres.R | 3 - README.md | 6 ++- build/partial.rdb |binary build/vignette.rds |binary data/biontech_adolescents.rda |only data/daycare_fines.rda |only data/duke_forest.rda |only data/epa2021.rda |only data/lizard_habitat.rda |only data/lizard_run.rda |only data/nyc_marathon.rda |only data/sex_discrimination.rda |only data/unemploy_pres.rda |binary man/biontech_adolescents.Rd |only man/daycare_fines.Rd |only man/duke_forest.Rd |only man/epa2012.Rd | 5 ++ man/epa2021.Rd |only man/lizard_habitat.Rd |only man/lizard_run.Rd |only man/marathon.Rd | 6 +-- man/murders.Rd | 9 +++-- man/nyc_marathon.Rd |only man/possum.Rd | 5 +- man/president.Rd | 10 +++-- man/resume.Rd | 2 - man/salinity.Rd | 3 - man/sex_discrimination.Rd |only man/unempl.Rd | 7 +-- man/unemploy_pres.Rd | 2 - tests |only 50 files changed, 135 insertions(+), 88 deletions(-)
Title: 'DataSHIELD' Interface
Description: 'DataSHIELD' is an infrastructure and series of R packages that
enables the remote and 'non-disclosive' analysis of sensitive research data.
This package defines the API that is to be implemented by 'DataSHIELD' compliant
data repositories.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>),
Amadou Gaye [ctb] (<https://orcid.org/0000-0002-1180-2792>),
Paul Burton [ctb]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>
Diff between DSI versions 1.2.0 dated 2021-03-15 and 1.3.0 dated 2021-06-22
DESCRIPTION | 23 ++++--- MD5 | 84 +++++++++++++++------------- NAMESPACE | 2 R/DSConnection.R | 102 ++++++++++++++++++++++------------- R/DSDriver.R | 3 - R/DSI-package.R |only R/DSLoginBuilder.R | 12 +++- R/DSObject.R | 3 - R/DSResult.R | 8 +- R/datashield.aggregate.R | 2 R/datashield.login.R | 12 ++-- R/datashield.status.R | 47 ++++++++++++++++ README.md | 8 +- build/DSI.pdf |binary man/DSConnection-class.Rd | 4 + man/DSI-package.Rd |only man/DSLoginBuilder.Rd | 5 + man/DSObject-class.Rd | 3 - man/datashield.aggregate.Rd | 2 man/datashield.login.Rd | 4 - man/datashield.profiles.Rd |only man/dsAggregate.Rd | 5 + man/dsAssignExpr.Rd | 5 + man/dsAssignResource.Rd | 5 + man/dsAssignTable.Rd | 5 + man/dsConnect.Rd | 3 - man/dsDisconnect.Rd | 5 + man/dsFetch.Rd | 4 - man/dsGetInfo.Rd | 1 man/dsHasResource.Rd | 5 + man/dsHasTable.Rd | 5 + man/dsIsAsync.Rd | 5 + man/dsIsCompleted.Rd | 4 - man/dsKeepAlive.Rd | 5 + man/dsListMethods.Rd | 5 + man/dsListPackages.Rd | 5 + man/dsListProfiles.Rd |only man/dsListResources.Rd | 5 + man/dsListSymbols.Rd | 5 + man/dsListTables.Rd | 8 ++ man/dsListWorkspaces.Rd | 5 + man/dsRmSymbol.Rd | 5 + man/dsRmWorkspace.Rd | 5 + man/dsSaveWorkspace.Rd | 5 + tests/testthat/test-dsloginbuilder.R | 6 +- 45 files changed, 280 insertions(+), 155 deletions(-)
Title: Import, Manipulate and Explore the Results of an 'Antares'
Simulation
Description: Import, manipulate and explore results generated by 'Antares', a
powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems
(more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Veronique Bachelier [aut, cre],
Jalal-Edine ZAWAM [aut],
Frederic Breant [ctb],
Francois Guillem [aut],
Benoit Thieurmel [aut],
Titouan Robert [aut],
Victor Perrier [ctb],
Etienne Sanchez [ctb],
RTE [cph]
Maintainer: Veronique Bachelier <veronique.bachelier@rte-france.com>
Diff between antaresRead versions 2.2.7 dated 2021-06-08 and 2.2.8 dated 2021-06-22
antaresRead-2.2.7/antaresRead/inst/doc/antaresH5.R |only antaresRead-2.2.7/antaresRead/inst/vignetteData |only antaresRead-2.2.8/antaresRead/DESCRIPTION | 11 antaresRead-2.2.8/antaresRead/MD5 | 32 antaresRead-2.2.8/antaresRead/NEWS | 650 +++-- antaresRead-2.2.8/antaresRead/R/aggregateResult.R | 2 antaresRead-2.2.8/antaresRead/R/api.R | 39 antaresRead-2.2.8/antaresRead/R/importOutput.R | 1090 ++++------ antaresRead-2.2.8/antaresRead/R/ponderateMcAggregation.R | 76 antaresRead-2.2.8/antaresRead/build/vignette.rds |binary antaresRead-2.2.8/antaresRead/inst/doc/antaresH5.Rmd | 322 +- antaresRead-2.2.8/antaresRead/inst/doc/antaresH5.html | 18 antaresRead-2.2.8/antaresRead/inst/doc/antaresRead.html | 4 antaresRead-2.2.8/antaresRead/man/figures/h5_comparison.PNG |only antaresRead-2.2.8/antaresRead/tests/testthat/test-API.R | 50 antaresRead-2.2.8/antaresRead/tests/testthat/test-readInputAPI.R | 41 antaresRead-2.2.8/antaresRead/tests/testthat/test-removeVirtualAreas.R | 36 antaresRead-2.2.8/antaresRead/vignettes/antaresH5.Rmd | 322 +- 18 files changed, 1285 insertions(+), 1408 deletions(-)
Title: Modelling of Population Growth
Description: Modelling of population growth under static and dynamic environmental conditions.
Includes functions for model fitting and making prediction under isothermal and
dynamic conditions. The methods (algorithms & models) are based on
predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).
Author: Alberto Garre [aut, cre] (<https://orcid.org/0000-0002-4404-3550>),
Jeroen Koomen [aut],
Heidy den Besten [aut],
Marcel Zwietering [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>
Diff between biogrowth versions 0.2.0 dated 2021-01-27 and 0.2.1 dated 2021-06-22
DESCRIPTION | 6 ++--- MD5 | 44 ++++++++++++++++++++----------------- NEWS.md | 10 ++++++++ R/FitDynamicGrowthMCMC_class.R | 10 ++++++-- R/FitDynamicGrowth_class.R | 10 ++++++-- R/FitMultipleDynamicGrowth_class.R | 8 +++++- R/FitMultipleGrowthMCMC_class.R | 8 +++++- R/FitSecondaryGrowth_class.R | 18 ++++++++++++--- R/data.R | 25 +++++++++++++++++++++ R/functions_counts.R | 2 + R/predict_stochastic_growth.R | 4 ++- data/conditions_pH_temperature.rda |only data/growth_pH_temperature.rda |only inst/doc/biogrowth_basics.R | 8 +++--- inst/doc/biogrowth_basics.Rmd | 8 +++--- inst/doc/biogrowth_basics.html | 30 +++++++++++-------------- man/FitDynamicGrowth.Rd | 5 +++- man/FitDynamicGrowthMCMC.Rd | 5 +++- man/FitMultipleDynamicGrowth.Rd | 5 +++- man/FitMultipleGrowthMCMC.Rd | 5 +++- man/conditions_pH_temperature.Rd |only man/distribution_to_logcount.Rd | 2 + man/growth_pH_temperature.Rd |only man/predict_stochastic_growth.Rd | 2 + vignettes/biogrowth_basics.Rmd | 8 +++--- 25 files changed, 156 insertions(+), 67 deletions(-)
Title: Smooth and Tidy Spatial Features
Description: Tools for smoothing and tidying spatial features
(i.e. lines and polygons) to make them more aesthetically pleasing.
Smooth curves, fill holes, and remove small fragments from lines and
polygons.
Author: Matthew Strimas-Mackey [aut, cre]
(<https://orcid.org/0000-0001-8929-7776>)
Maintainer: Matthew Strimas-Mackey <mstrimas@gmail.com>
Diff between smoothr versions 0.2.1 dated 2021-05-22 and 0.2.2 dated 2021-06-22
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 4 ++++ R/drop-crumbs.R | 30 ++++++++++++++++++++++-------- R/fill-holes.R | 13 ++++++++++--- R/smooth.R | 13 ++++++++++--- tests/testthat/test_drop-crumbs.R | 16 ++++++++++++---- tests/testthat/test_fill-holes.R | 8 ++++++-- 8 files changed, 74 insertions(+), 30 deletions(-)
Title: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary
Tables
Description: Quickly and easily perform exploratory data analysis by uploading your
data as a 'csv' file. Start generating insights using 'ggplot2' plots and
'table1' tables with descriptive stats, all using an easy-to-use point and click
'Shiny' interface.
Author: Samer Mouksassi [aut, cre] (<https://orcid.org/0000-0002-7152-6654>),
Dean Attali [aut],
Benjamin Rich [aut] (provided summary stats tables tab code),
Michael Sachs [aut] (provided ggkm code)
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>
Diff between ggquickeda versions 0.2.0 dated 2021-02-15 and 0.2.1 dated 2021-06-22
DESCRIPTION | 8 MD5 | 18 NEWS.md | 15 build/vignette.rds |binary inst/doc/AdditionalPlotsStats.html | 4 inst/doc/Visualizing_Summary_Data.html | 14 inst/doc/ggquickeda.html | 4 inst/shinyapp/global.R | 53 - inst/shinyapp/server.R | 1168 +++++++++++++++++++++------------ inst/shinyapp/ui.R | 180 ++++- 10 files changed, 966 insertions(+), 498 deletions(-)
Title: Multicriteria Risk Management using Zero-Sum Games with
Vector-Valued Payoffs that are Probability Distributions
Description: Construction and analysis of multivalued zero-sum matrix games over the abstract space of probability distributions, which describe the losses in each scenario of defense vs. attack action. The distributions can be compiled directly from expert opinions or other empirical data (insofar available). The package implements the methods put forth in the EU project HyRiM (Hybrid Risk Management for Utility Networks), FP7 EU Project Number 608090. The method has been published in Rass, S., König, S., Schauer, S., 2016. Decisions with Uncertain Consequences-A Total Ordering on Loss-Distributions. PLoS ONE 11, e0168583. <doi:10.1371/journal.pone.0168583>, and applied for advanced persistent thread modeling in Rass, S., König, S., Schauer, S., 2017. Defending Against Advanced Persistent Threats Using Game-Theory. PLoS ONE 12, e0168675. <doi:10.1371/journal.pone.0168675>. A volume covering the wider range of aspects of risk management, partially based on the theory implemented in the package is the book edited by S. Rass and S. Schauer, 2018. Game Theory for Security and Risk Management: From Theory to Practice. Springer, <doi:10.1007/978-3-319-75268-6>, ISBN 978-3-319-75267-9.
Author: Stefan Rass, Sandra Koenig, Ali Alshawish
Maintainer: Austrian Institute of Technology <hyrim@ait.ac.at>
Diff between HyRiM versions 2.0.0 dated 2020-04-23 and 2.0.1 dated 2021-06-22
DESCRIPTION | 8 ++-- MD5 | 56 ++++++++++++++-------------- NEWS | 63 +++++++++++++++++++++----------- R/cdf.R | 4 +- R/density.mosg.lossdistribution.R | 4 +- R/disappointmentRate.R | 4 +- R/lossDistribution.R | 4 +- R/lossDistribution.mosg.R | 4 +- R/mean.mosg.lossdistribution.R | 4 +- R/mgss.R | 36 ++++++++++++------ R/moment.R | 4 +- R/mosg.R | 4 +- R/plot.mosg.R | 4 +- R/plot.mosg.equilibrium.R | 4 +- R/plot.mosg.lossdistribution.R | 4 +- R/preference.R | 4 +- R/print.mosg.R | 4 +- R/print.mosg.equilibrium.R | 4 +- R/print.mosg.equilibrium.summary.R | 4 +- R/print.mosg.lossdistribution.R | 4 +- R/print.summary.mosg.lossdistribution.R | 4 +- R/quantile.mosg.lossdistribution.R | 4 +- R/summary.mosg.equilibrium.R | 4 +- R/summary.mosg.lossdistribution.R | 4 +- R/variance.R | 4 +- build/partial.rdb |binary build/vignette.rds |binary inst/doc/vignette.pdf |binary man/mgss.Rd | 5 ++ 29 files changed, 144 insertions(+), 108 deletions(-)
Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent
access to information contained in various R models, like model
formulas, model terms, information about random effects, data that was
used to fit the model or data from response variables. 'insight'
mainly revolves around two types of functions: Functions that find
(the names of) information, starting with 'find_', and functions that
get the underlying data, starting with 'get_'. The package has a
consistent syntax and works with many different model objects, where
otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>,
@strengejacke),
Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>,
@Dom_Makowski),
Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>,
@patilindrajeets),
Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>),
Mattan S. Ben-Shachar [aut, ctb]
(<https://orcid.org/0000-0002-4287-4801>),
Brenton M. Wiernik [aut] (<https://orcid.org/0000-0001-9560-6336>,
@bmwiernik),
Alex Hayes [rev] (<https://orcid.org/0000-0002-4985-5160>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
Diff between insight versions 0.14.1 dated 2021-05-28 and 0.14.2 dated 2021-06-22
DESCRIPTION | 34 ++-- MD5 | 190 +++++++++++++------------- NEWS.md | 26 +++ R/check_if_installed.R | 52 +++++-- R/clean_names.R | 17 +- R/clean_parameters.R | 47 +++++- R/compute_variances.R | 8 - R/data_relocate.R | 7 R/data_reshape.R | 116 +++++++++------- R/data_restoretype.R | 4 R/export_table.R | 16 -- R/find_algorithm.R | 3 R/find_formula.R | 112 ++++----------- R/find_parameters.R | 20 -- R/find_parameters_bayesian.R | 2 R/find_parameters_gam.R | 33 +++- R/find_parameters_mixed.R | 133 +++++++++++++----- R/find_parameters_other.R | 5 R/find_predictors.R | 6 R/find_random.R | 3 R/find_random_slopes.R | 4 R/find_response.R | 10 - R/find_statistic.R | 199 ++++++++++++++-------------- R/find_variables.R | 24 ++- R/find_weights.R | 3 R/format_ci.R | 28 +++ R/format_p.R | 22 --- R/format_table.R | 11 - R/format_value.R | 34 ++-- R/get_data.R | 125 +++++++++++------ R/get_loglikelihood.R | 4 R/get_parameters.R | 11 - R/get_parameters_htest.R | 13 - R/get_parameters_mfx.R | 8 - R/get_predicted.R | 12 + R/get_predicted_ci.R | 43 +++--- R/get_predicted_methods.R | 5 R/get_sigma.R | 22 +-- R/get_statistic.R | 112 +++++++++++---- R/get_varcov.R | 23 ++- R/is_model_supported.R | 39 +++-- R/link_function.R | 47 ------ R/link_inverse.R | 38 ----- R/model_info.R | 159 ++++++++++++---------- R/n_obs.R | 21 ++ R/standardize_names.R | 3 R/utils_model_info.R | 50 ++++--- build/partial.rdb |binary inst/WORDLIST | 4 inst/doc/display.html | 144 ++++++++++---------- man/all_models_equal.Rd | 80 +++++------ man/check_if_installed.Rd | 23 ++- man/data_relocate.Rd | 3 man/data_to_long.Rd | 61 +++++--- man/export_table.Rd | 10 - man/find_algorithm.Rd | 3 man/find_formula.Rd | 39 ++++- man/find_offset.Rd | 72 +++++----- man/find_parameters.glmmTMB.Rd | 30 ++-- man/find_random.Rd | 3 man/find_random_slopes.Rd | 3 man/find_smooth.Rd | 54 +++---- man/find_terms.Rd | 112 +++++++-------- man/find_variables.Rd | 24 ++- man/find_weights.Rd | 53 +++---- man/fish.Rd | 20 +- man/format_ci.Rd | 7 man/format_p.Rd | 6 man/format_pd.Rd | 56 +++---- man/format_rope.Rd | 6 man/format_table.Rd | 14 - man/format_value.Rd | 15 +- man/get_parameters.glmm.Rd | 24 +-- man/get_parameters.htest.Rd | 46 +++--- man/get_predicted.Rd | 7 man/get_priors.Rd | 68 ++++----- man/get_random.Rd | 76 +++++----- man/get_response.Rd | 78 +++++----- man/get_sigma.Rd | 22 +-- man/get_statistic.Rd | 15 +- man/has_intercept.Rd | 64 ++++----- man/is_gam_model.Rd | 68 ++++----- man/is_mixed_model.Rd | 58 ++++---- man/is_model.Rd | 74 +++++----- man/is_nested_models.Rd | 60 ++++---- man/is_nullmodel.Rd | 66 ++++----- man/link_function.Rd | 5 man/link_inverse.Rd | 5 man/model_info.Rd | 97 +++++++++++-- man/reshape_ci.Rd | 50 +++---- tests/testthat/_snaps/check_if_installed.md | 4 tests/testthat/_snaps/rstanarm.md |only tests/testthat/test-epiR.R |only tests/testthat/test-fixest.R | 2 tests/testthat/test-get_predicted.R | 2 tests/testthat/test-get_weights.R | 58 ++++---- tests/testthat/test-rstanarm.R | 23 +++ 97 files changed, 2068 insertions(+), 1650 deletions(-)
Title: Clustering of Datasets
Description: Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>) are the core of this package.
Author: Fabien Llobell [aut, cre] (Oniris/XLSTAT),
Evelyne Vigneau [ctb] (Oniris),
Veronique Cariou [ctb] (Oniris),
El Mostafa Qannari [ctb] (Oniris)
Maintainer: Fabien Llobell <fllobell@hotmail.fr>
Diff between ClustBlock versions 2.3.1 dated 2020-11-21 and 2.4.0 dated 2021-06-22
DESCRIPTION | 8 ++++---- MD5 | 25 ++++++++++++++----------- NAMESPACE | 1 + NEWS | 5 +++-- R/catatis.R | 2 ++ R/plot.catatis.R | 14 +++++++++++--- R/plot.statis.R | 14 +++++++++++--- R/s_between_comp.R |only R/simil_groups_cata.R |only R/statis.R | 9 ++++----- inst/CITATION | 6 +++--- man/ClustBlock-package.Rd | 8 ++++---- man/plot.catatis.Rd | 6 ++++-- man/plot.statis.Rd | 4 +++- man/simil_groups_cata.Rd |only 15 files changed, 64 insertions(+), 38 deletions(-)
More information about triggerstrategy at CRAN
Permanent link
Title: User-Friendly R Interface to Biologic Web Services' API
Description: Currently fully supports Enrichr, JASPAR, miEAA, PANTHER,
Reactome, STRING, and UniProt! The goal of rbioapi is to provide a
user-friendly and consistent interface to biological databases and
services: In a way that insulates the user from technicalities of
using web services API and creates a unified and easy-to-use interface
to biological and medical web services. This an ongoing project; New
databases and services will be added periodically. Feel free to
suggest any databases or services you often use.
Author: Moosa Rezwani [aut, cre, cph]
Maintainer: Moosa Rezwani <moosa.rezwani@gmail.com>
Diff between rbioapi versions 0.7.0 dated 2021-04-30 and 0.7.4 dated 2021-06-22
DESCRIPTION | 31 +- MD5 | 310 +++++++++++++----------- NAMESPACE | 199 ++++++++------- NEWS.md | 18 + R/enrichr.R |only R/helper_functions.R | 217 ++++++++++------ R/internal_functions.R | 334 +++++++++++++++++-------- R/jaspar.R |only R/mieaa.R | 147 +++++------ R/panther.R | 102 +++---- R/reactome_analysis.R | 185 +++++++------- R/reactome_content.R | 373 ++++++++++++++-------------- R/stringdb.R | 214 ++++++++-------- R/uniprot_coordinates.R | 104 ++++---- R/uniprot_proteins.R | 400 +++++++++++++++---------------- R/uniprot_proteomes.R | 113 ++++---- R/uniprot_taxonomy.R | 64 ++-- R/uniprot_uniparc.R | 224 ++++++++--------- R/zzz.R | 40 +-- build/vignette.rds |binary inst/doc/rbioapi.R | 25 + inst/doc/rbioapi.Rmd | 94 ++++--- inst/doc/rbioapi.html | 255 ++++++++++--------- inst/doc/rbioapi_enrichr.R |only inst/doc/rbioapi_enrichr.Rmd |only inst/doc/rbioapi_enrichr.html |only inst/doc/rbioapi_jaspar.R |only inst/doc/rbioapi_jaspar.Rmd |only inst/doc/rbioapi_jaspar.html |only inst/doc/rbioapi_mieaa.R | 8 inst/doc/rbioapi_mieaa.Rmd | 22 + inst/doc/rbioapi_mieaa.html | 93 ++++--- inst/doc/rbioapi_panther.R | 8 inst/doc/rbioapi_panther.Rmd | 24 + inst/doc/rbioapi_panther.html | 49 ++- inst/doc/rbioapi_reactome.R | 25 + inst/doc/rbioapi_reactome.Rmd | 45 ++- inst/doc/rbioapi_reactome.html | 175 ++++++------- inst/doc/rbioapi_string.R | 51 +++ inst/doc/rbioapi_string.Rmd | 75 ++++- inst/doc/rbioapi_string.html | 72 ++--- inst/doc/rbioapi_uniprot.R | 2 inst/doc/rbioapi_uniprot.Rmd | 24 + inst/doc/rbioapi_uniprot.html | 162 ++++++------ man/rba_connection_test.Rd | 87 +++--- man/rba_enrichr.Rd |only man/rba_enrichr_add_list.Rd |only man/rba_enrichr_enrich.Rd |only man/rba_enrichr_gene_map.Rd |only man/rba_enrichr_libs.Rd |only man/rba_enrichr_view_list.Rd |only man/rba_jaspar_collections.Rd |only man/rba_jaspar_collections_matrices.Rd |only man/rba_jaspar_matrix.Rd |only man/rba_jaspar_matrix_search.Rd |only man/rba_jaspar_matrix_versions.Rd |only man/rba_jaspar_releases.Rd |only man/rba_jaspar_sites.Rd |only man/rba_jaspar_species.Rd |only man/rba_jaspar_species_matrices.Rd |only man/rba_jaspar_taxons.Rd |only man/rba_jaspar_taxons_matrices.Rd |only man/rba_jaspar_tffm.Rd |only man/rba_jaspar_tffm_search.Rd |only man/rba_mieaa_cats.Rd | 6 man/rba_mieaa_convert_type.Rd | 6 man/rba_mieaa_convert_version.Rd | 8 man/rba_mieaa_enrich.Rd | 308 +++++++++++------------ man/rba_mieaa_enrich_results.Rd | 4 man/rba_mieaa_enrich_status.Rd | 6 man/rba_mieaa_enrich_submit.Rd | 272 ++++++++++----------- man/rba_options.Rd | 200 +++++++-------- man/rba_pages.Rd | 10 man/rba_panther_enrich.Rd | 204 +++++++-------- man/rba_panther_family.Rd | 140 +++++----- man/rba_panther_homolog.Rd | 10 man/rba_panther_info.Rd | 4 man/rba_panther_mapping.Rd | 4 man/rba_panther_ortholog.Rd | 176 ++++++------- man/rba_panther_tree_grafter.Rd | 132 +++++----- man/rba_reactome_analysis.Rd | 332 ++++++++++++------------- man/rba_reactome_analysis_download.Rd | 206 +++++++-------- man/rba_reactome_analysis_import.Rd | 142 +++++------ man/rba_reactome_analysis_mapping.Rd | 164 ++++++------ man/rba_reactome_analysis_pdf.Rd | 218 ++++++++-------- man/rba_reactome_analysis_species.Rd | 200 +++++++-------- man/rba_reactome_analysis_token.Rd | 222 ++++++++--------- man/rba_reactome_complex_list.Rd | 10 man/rba_reactome_complex_subunits.Rd | 8 man/rba_reactome_diseases.Rd | 4 man/rba_reactome_entity_other_forms.Rd | 8 man/rba_reactome_event_ancestors.Rd | 8 man/rba_reactome_event_hierarchy.Rd | 8 man/rba_reactome_exporter_diagram.Rd | 328 ++++++++++++------------- man/rba_reactome_exporter_event.Rd | 136 +++++----- man/rba_reactome_exporter_overview.Rd | 238 +++++++++--------- man/rba_reactome_exporter_reaction.Rd | 248 +++++++++---------- man/rba_reactome_interactors_psicquic.Rd | 164 ++++++------ man/rba_reactome_interactors_static.Rd | 186 +++++++------- man/rba_reactome_mapping.Rd | 10 man/rba_reactome_orthology.Rd | 10 man/rba_reactome_participant_of.Rd | 8 man/rba_reactome_participants.Rd | 8 man/rba_reactome_pathways_events.Rd | 146 +++++------ man/rba_reactome_pathways_low.Rd | 168 ++++++------- man/rba_reactome_pathways_top.Rd | 8 man/rba_reactome_people_id.Rd | 136 +++++----- man/rba_reactome_people_name.Rd | 6 man/rba_reactome_query.Rd | 150 +++++------ man/rba_reactome_species.Rd | 4 man/rba_reactome_version.Rd | 4 man/rba_reactome_xref.Rd | 10 man/rba_string_annotations.Rd | 162 ++++++------ man/rba_string_enrichment.Rd | 184 +++++++------- man/rba_string_enrichment_ppi.Rd | 144 +++++------ man/rba_string_homology_inter.Rd | 172 ++++++------- man/rba_string_homology_intra.Rd | 154 +++++------ man/rba_string_interaction_partners.Rd | 204 +++++++-------- man/rba_string_interactions_network.Rd | 244 +++++++++--------- man/rba_string_map_ids.Rd | 140 +++++----- man/rba_string_network_image.Rd | 276 ++++++++++----------- man/rba_string_version.Rd | 4 man/rba_uniprot_antigens.Rd | 6 man/rba_uniprot_antigens_search.Rd | 154 +++++------ man/rba_uniprot_coordinates.Rd | 140 +++++----- man/rba_uniprot_coordinates_location.Rd | 6 man/rba_uniprot_coordinates_search.Rd | 184 +++++++------- man/rba_uniprot_coordinates_sequence.Rd | 154 +++++------ man/rba_uniprot_features.Rd | 140 +++++----- man/rba_uniprot_features_search.Rd | 250 +++++++++---------- man/rba_uniprot_genecentric.Rd | 4 man/rba_uniprot_genecentric_search.Rd | 154 +++++------ man/rba_uniprot_proteins.Rd | 10 man/rba_uniprot_proteins_crossref.Rd | 148 +++++------ man/rba_uniprot_proteins_search.Rd | 294 +++++++++++----------- man/rba_uniprot_proteomes.Rd | 136 +++++----- man/rba_uniprot_proteomes_search.Rd | 210 ++++++++-------- man/rba_uniprot_proteomics.Rd | 6 man/rba_uniprot_proteomics_search.Rd | 200 +++++++-------- man/rba_uniprot_taxonomy.Rd | 184 +++++++------- man/rba_uniprot_taxonomy_lca.Rd | 6 man/rba_uniprot_taxonomy_lineage.Rd | 8 man/rba_uniprot_taxonomy_name.Rd | 10 man/rba_uniprot_taxonomy_path.Rd | 8 man/rba_uniprot_taxonomy_relationship.Rd | 6 man/rba_uniprot_uniparc.Rd | 194 +++++++-------- man/rba_uniprot_uniparc_bestguess.Rd | 146 +++++------ man/rba_uniprot_uniparc_search.Rd | 296 +++++++++++----------- man/rba_uniprot_uniparc_sequence.Rd | 154 +++++------ man/rba_uniprot_variation.Rd | 196 +++++++-------- man/rba_uniprot_variation_search.Rd | 266 ++++++++++---------- man/rbioapi.Rd | 27 +- tests |only vignettes/rbioapi.Rmd | 94 ++++--- vignettes/rbioapi_enrichr.Rmd |only vignettes/rbioapi_jaspar.Rmd |only vignettes/rbioapi_mieaa.Rmd | 22 + vignettes/rbioapi_panther.Rmd | 24 + vignettes/rbioapi_reactome.Rmd | 45 ++- vignettes/rbioapi_string.Rmd | 75 ++++- vignettes/rbioapi_uniprot.Rmd | 24 + 161 files changed, 7815 insertions(+), 7209 deletions(-)
Title: National Statistical Office of Mongolia's Open Data API Handler
Description: National Statistical Office of Mongolia (NSO) is the national statistical service and an organization of Mongolian government. NSO provides open access to official data via its API <http://opendata.1212.mn/en/doc>. The package NSO1212 has functions for accessing the API service. The functions are compatible with the API v2.0 and get data sets and its detailed informations from the API.
Author: Makhgal Ganbold [aut, cre]
Maintainer: Makhgal Ganbold <makhgal@seas.num.edu.mn>
Diff between NSO1212 versions 1.2.0 dated 2021-04-13 and 1.3.0 dated 2021-06-22
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS | 4 ++++ R/all_tables.R | 11 ++++++++--- R/get_table.R | 4 ++-- man/all_tables.Rd | 4 +++- man/get_table.Rd | 4 ++-- 7 files changed, 29 insertions(+), 18 deletions(-)
Title: Bayesian Regression with Meshed Gaussian Processes
Description: Fits Bayesian spatial or spatiotemporal multivariate regression models based on latent Meshed Gaussian Processes (MGP) as described in Peruzzi, Banerjee, Finley (2020) <doi:10.1080/01621459.2020.1833889> and Peruzzi, Banerjee, Dunson, and Finley (2021) <arXiv:2101.03579>. Funded by ERC grant 856506 and NIH grant R01ES028804.
Author: Michele Peruzzi
Maintainer: Michele Peruzzi <michele.peruzzi@duke.edu>
Diff between meshed versions 0.1.1 dated 2021-06-11 and 0.1.2 dated 2021-06-22
DESCRIPTION | 10 - MD5 | 67 +++++----- NEWS.md | 6 R/RcppExports.R | 4 R/predict.spmeshed.r | 3 R/rmgp.r | 22 ++- R/spmeshed.map.r | 2 R/spmeshed.r | 2 R/utils.r | 4 README.md | 19 ++ build/partial.rdb |binary inst/doc/multivariate_irregular.html | 4 inst/doc/univariate_gridded.html | 4 inst/doc/univariate_irregular.html | 4 inst/doc/univariate_irregular_poisson.html | 4 man/rmeshedgp.Rd | 2 man/summary_list_q.Rd | 2 src/RcppExports.cpp | 13 + src/covariance_lmc.cpp | 2 src/covariance_lmc.h | 5 src/distrib_vecrandom.h | 4 src/mcmc_hmc_nodes.h | 2 src/mcmc_ramadapt.h | 1 src/mesh_dep.cpp | 21 ++- src/meshed.cpp | 68 +++++----- src/meshed.h | 14 +- src/meshed_beta_sampler.cpp | 2 src/meshed_lambda_sampler.cpp | 4 src/meshed_mcmc.cpp | 21 +-- src/meshed_predict.cpp | 74 ++++++----- src/meshed_tausq_sampler.cpp | 2 src/meshed_w_prior_sampler.cpp | 4 src/meshed_w_sampler.cpp | 44 +++--- src/utils_caching.cpp |only src/utils_caching.h | 193 ----------------------------- 35 files changed, 266 insertions(+), 367 deletions(-)
Title: Analysis of Geostatistical Count Data using Gaussian Copulas
Description: Provides a variety of functions to analyze and model
geostatistical count data with Gaussian copulas, including
1) data simulation and visualization;
2) correlation structure assessment (here also known as the Normal To Anything);
3) calculate multivariate normal rectangle probabilities;
4) likelihood inference and parallel prediction at predictive locations.
Description of the method is available from: Han and DeOliveira (2018) <doi:10.18637/jss.v087.i13>.
Author: Zifei Han
Maintainer: Zifei Han <hanzifei1@gmail.com>
Diff between gcKrig versions 1.1.5 dated 2021-06-20 and 1.1.6 dated 2021-06-22
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- build/partial.rdb |binary inst/NEWS.txt | 5 +++++ src/gcgcFun.cpp | 8 +++++--- src/mvnInt.cpp | 5 +++-- 6 files changed, 23 insertions(+), 15 deletions(-)
More information about fasano.franceschini.test at CRAN
Permanent link
Title: Robustness Checks for Omitted Variable Bias
Description: Robustness checks for omitted variable bias. The package includes robustness checks proposed by Oster (2019). robomit the estimate i) the bias-adjusted treatment correlation or effect and ii) the degree of selection on unobservables relative to observables (with respect to the treatment variable) that would be necessary to eliminate the result based on the framework by Oster (2019). Additionally, robomit offers a set of sensitivity analysis and visualization functions. See: Oster, E. 2019. <doi:10.1080/07350015.2016.1227711>.
Author: Sergei Schaub [aut, cre] (<https://orcid.org/0000-0001-8477-3737>),
ETH Zurich [cph]
Maintainer: Sergei Schaub <seschaub@ethz.ch>
Diff between robomit versions 1.0.5 dated 2021-01-25 and 1.0.6 dated 2021-06-22
DESCRIPTION | 9 - MD5 | 28 ++--- R/robomit_functions.R | 227 ++++++++++++++++++++++++++++++------------------ man/o_beta.Rd | 20 ++-- man/o_beta_boot.Rd | 30 +++--- man/o_beta_boot_inf.Rd | 26 ++--- man/o_beta_boot_viz.Rd | 28 +++-- man/o_beta_rsq.Rd | 25 ++--- man/o_beta_rsq_viz.Rd | 23 ++-- man/o_delta.Rd | 23 ++-- man/o_delta_boot.Rd | 24 ++--- man/o_delta_boot_inf.Rd | 24 ++--- man/o_delta_boot_viz.Rd | 28 +++-- man/o_delta_rsq.Rd | 23 ++-- man/o_delta_rsq_viz.Rd | 23 ++-- 15 files changed, 325 insertions(+), 236 deletions(-)
Title: Cycle Routing and Data for Cycling Advocacy
Description: An interface to the cycle routing/data services provided by
'CycleStreets', a not-for-profit social enterprise and advocacy
organisation. The application programming interfaces (APIs) provided
by 'CycleStreets' are documented at
(<https://www.cyclestreets.net/api/>). The focus of this package is
the journey planning API, which aims to emulate the routes taken by a
knowledgeable cyclist. An innovative feature of the routing service
of its provision of fastest, quietest and balanced profiles. These
represent routes taken to minimise time, avoid traffic and compromise
between the two, respectively.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>),
Martin Lucas-Smith [aut],
Eric Krueger [ctb],
Joey Talbot [aut] (<https://orcid.org/0000-0002-6520-4560>)
Maintainer: Robin Lovelace <rob00x@gmail.com>
Diff between cyclestreets versions 0.3.0 dated 2020-09-26 and 0.4.0 dated 2021-06-22
DESCRIPTION | 57 ++++++++++++++++++++++++++++++++++-------------------- MD5 | 12 +++++------ NEWS.md | 4 +++ R/journey.R | 14 ++++++------- README.md | 2 - man/journey.Rd | 9 +++++--- man/json2sf_cs.Rd | 2 - 7 files changed, 61 insertions(+), 39 deletions(-)
Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table' that is 'rlang' compatible,
giving users the speed of 'data.table' with the clean syntax of the tidyverse.
Author: Mark Fairbanks [aut, cre],
Abdessabour Moutik [ctb],
Matt Carlson [ctb],
Ivan Leung [ctb],
Ross Kennedy [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>
Diff between tidytable versions 0.6.2 dated 2021-05-18 and 0.6.3 dated 2021-06-22
DESCRIPTION | 6 +- MD5 | 84 ++++++++++++++++++++------------------ NAMESPACE | 3 + NEWS.md | 19 ++++++++ R/as_tidytable.R | 2 R/bind.R | 26 +++++++---- R/case_when.R | 8 +-- R/complete.R | 11 ++-- R/crossing.R | 4 - R/cumulative.R | 8 +-- R/distinct.R | 6 +- R/enframe.R |only R/expand.R | 33 +++++++++++--- R/fill.R | 7 ++- R/filter.R | 5 -- R/first-last.R |only R/group_split.R | 2 R/join.R | 50 +++++++++++++--------- R/mutate.R | 30 ++++++++----- R/mutate_across.R | 2 R/print.R | 6 +- R/replace_na.R | 4 - R/separate_rows.R | 8 +-- R/slice.R | 6 +- R/summarize.R | 2 R/summarize_across.R | 2 R/tidytable.R | 16 +++---- R/uncount.R | 6 +- R/unnest.R | 10 ++-- R/utils-across.R | 4 - R/utils-general.R | 28 +++++++----- README.md | 12 ++--- man/complete..Rd | 4 + man/enframe..Rd |only man/expand..Rd | 4 + man/first..Rd |only man/tidytable.Rd | 4 - tests/testthat/test-across.R | 11 ++++ tests/testthat/test-bind.R | 23 ++++++++++ tests/testthat/test-enframe.R |only tests/testthat/test-expand.R | 24 +++++++++- tests/testthat/test-first-last.R |only tests/testthat/test-group_split.R | 9 ++++ tests/testthat/test-join.R | 11 ++++ tests/testthat/test-mutate.R | 10 ++-- tests/testthat/test-transmute.R | 14 ++++++ 46 files changed, 344 insertions(+), 180 deletions(-)
Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network
and provides functionality for geometrical operations,
data analysis and modelling of data on a linear network,
in the 'spatstat' family of packages.
Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks.
Data types defined on a network include point patterns, pixel images, functions, and tessellations.
Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Parametric models can be fitted to point pattern data using the function lppm() similar to glm(). Only Poisson models are implemented so far. Models may involve dependence on covariates and dependence on marks. Models are fitted by maximum likelihood.
Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Random point patterns on a network can be generated using a variety of models.
Author: Adrian Baddeley [aut, cre],
Rolf Turner [aut],
Ege Rubak [aut],
Ottmar Cronie [ctb],
Tilman Davies [ctb],
Greg McSwiggan [ctb],
Suman Rakshit [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Diff between spatstat.linnet versions 2.1-1 dated 2021-03-28 and 2.2-1 dated 2021-06-22
DESCRIPTION | 14 +++++++------- MD5 | 18 +++++++++--------- NEWS | 30 ++++++++++++++++++++++++++++++ R/evalcovarlppm.R | 11 +++++------ R/linim.R | 4 +++- R/rhohatlpp.R | 7 +++++-- inst/doc/packagesizes.txt | 3 +++ man/rhohat.lpp.Rd | 30 +++++++++++++++++++++++++----- man/spatstat.linnet-internal.Rd | 4 ++-- tests/testsAtoK.R | 2 +- 10 files changed, 90 insertions(+), 33 deletions(-)
More information about spatstat.linnet at CRAN
Permanent link
Title: Statistical Hypothesis Testing Toolbox
Description: We provide a collection of statistical hypothesis testing procedures ranging from classical to modern methods for non-trivial settings such as high-dimensional scenario. For the general treatment of statistical hypothesis testing, see the book by Lehmann and Romano (2005) <doi:10.1007/0-387-27605-X>.
Author: Kyoungjae Lee [aut],
Lizhen Lin [aut],
Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kisungyou@outlook.com>
Diff between SHT versions 0.1.3 dated 2020-03-19 and 0.1.4 dated 2021-06-22
SHT-0.1.3/SHT/R/init.R |only SHT-0.1.3/SHT/R/silent_sim1.2020YLL.R |only SHT-0.1.3/SHT/R/silent_sim2.2020YLL.R |only SHT-0.1.3/SHT/R/tester.R |only SHT-0.1.3/SHT/R/usek1d.R |only SHT-0.1.3/SHT/R/useknd.R |only SHT-0.1.3/SHT/man/SHT.Rd |only SHT-0.1.4/SHT/DESCRIPTION | 18 +- SHT-0.1.4/SHT/LICENSE |only SHT-0.1.4/SHT/MD5 | 238 +++++++++++++++---------------- SHT-0.1.4/SHT/NEWS.md | 37 ++-- SHT-0.1.4/SHT/R/cov1.2012Fisher.R | 1 SHT-0.1.4/SHT/R/cov1.2015WL.R | 1 SHT-0.1.4/SHT/R/cov1.mxPBF.R | 1 SHT-0.1.4/SHT/R/cov2.2012LC.R | 5 SHT-0.1.4/SHT/R/cov2.2013CLX.R | 1 SHT-0.1.4/SHT/R/cov2.2015WL.R | 1 SHT-0.1.4/SHT/R/cov2.mxPBF.R | 1 SHT-0.1.4/SHT/R/covk.2001Schott.R | 1 SHT-0.1.4/SHT/R/covk.2007Schott.R | 1 SHT-0.1.4/SHT/R/eqdist.2014BG.R | 11 + SHT-0.1.4/SHT/R/mean1.1931Hotelling.R | 1 SHT-0.1.4/SHT/R/mean1.1958Dempster.R | 2 SHT-0.1.4/SHT/R/mean1.1996BS.R | 1 SHT-0.1.4/SHT/R/mean1.2008SD.R | 2 SHT-0.1.4/SHT/R/mean1.ttest.R | 1 SHT-0.1.4/SHT/R/mean2.1931Hotelling.R | 1 SHT-0.1.4/SHT/R/mean2.1958Dempster.R | 2 SHT-0.1.4/SHT/R/mean2.1965Yao.R | 1 SHT-0.1.4/SHT/R/mean2.1980Johansen.R | 1 SHT-0.1.4/SHT/R/mean2.1986NVM.R | 1 SHT-0.1.4/SHT/R/mean2.1996BS.R | 2 SHT-0.1.4/SHT/R/mean2.2004KY.R | 1 SHT-0.1.4/SHT/R/mean2.2008SD.R | 2 SHT-0.1.4/SHT/R/mean2.2011LJW.R | 2 SHT-0.1.4/SHT/R/mean2.2014CLX.R | 1 SHT-0.1.4/SHT/R/mean2.2014Thulin.R | 2 SHT-0.1.4/SHT/R/mean2.mxPBF.R | 2 SHT-0.1.4/SHT/R/mean2.ttest.R | 2 SHT-0.1.4/SHT/R/meank.2007Schott.R | 1 SHT-0.1.4/SHT/R/meank.2009ZX.R | 1 SHT-0.1.4/SHT/R/meank.2019CPH.R | 1 SHT-0.1.4/SHT/R/meank.anova.R | 1 SHT-0.1.4/SHT/R/mvar1.1998AS.R | 1 SHT-0.1.4/SHT/R/mvar1.LRT.R | 1 SHT-0.1.4/SHT/R/mvar2.1930PN.R | 3 SHT-0.1.4/SHT/R/mvar2.1976PL.R | 1 SHT-0.1.4/SHT/R/mvar2.1982Muirhead.R | 1 SHT-0.1.4/SHT/R/mvar2.2012ZXC.R | 1 SHT-0.1.4/SHT/R/mvar2.LRT.R | 1 SHT-0.1.4/SHT/R/norm.1965SW.R | 1 SHT-0.1.4/SHT/R/norm.1972SF.R | 1 SHT-0.1.4/SHT/R/norm.1980JB.R | 1 SHT-0.1.4/SHT/R/norm.1996AJB.R | 1 SHT-0.1.4/SHT/R/norm.2008RJB.R | 1 SHT-0.1.4/SHT/R/package-SHT.R | 1 SHT-0.1.4/SHT/R/sim1.2017Liu.R | 5 SHT-0.1.4/SHT/R/sim2.2018HN.R | 1 SHT-0.1.4/SHT/R/unif.2017YMi.R | 1 SHT-0.1.4/SHT/R/unif.2017YMq.R | 1 SHT-0.1.4/SHT/R/utility.usek1d.R |only SHT-0.1.4/SHT/R/utility.useknd.R |only SHT-0.1.4/SHT/R/var1.chisq.R | 2 SHT-0.1.4/SHT/R/var2.F.R | 1 SHT-0.1.4/SHT/R/vark.1937Bartlett.R | 1 SHT-0.1.4/SHT/R/vark.1960Levene.R | 1 SHT-0.1.4/SHT/R/vark.1974BF.R | 1 SHT-0.1.4/SHT/R/zzz.R |only SHT-0.1.4/SHT/R/zzz_test_edist.R |only SHT-0.1.4/SHT/build/partial.rdb |binary SHT-0.1.4/SHT/inst/REFERENCES.bib | 2 SHT-0.1.4/SHT/man/cov1.2012Fisher.Rd | 1 SHT-0.1.4/SHT/man/cov1.2015WL.Rd | 1 SHT-0.1.4/SHT/man/cov2.2012LC.Rd | 1 SHT-0.1.4/SHT/man/cov2.2013CLX.Rd | 1 SHT-0.1.4/SHT/man/cov2.2015WL.Rd | 1 SHT-0.1.4/SHT/man/cov2.mxPBF.Rd | 1 SHT-0.1.4/SHT/man/covk.2001Schott.Rd | 1 SHT-0.1.4/SHT/man/covk.2007Schott.Rd | 1 SHT-0.1.4/SHT/man/eqdist.2014BG.Rd | 3 SHT-0.1.4/SHT/man/mean1.1931Hotelling.Rd | 1 SHT-0.1.4/SHT/man/mean1.1958Dempster.Rd | 4 SHT-0.1.4/SHT/man/mean1.1996BS.Rd | 1 SHT-0.1.4/SHT/man/mean1.2008SD.Rd | 4 SHT-0.1.4/SHT/man/mean1.ttest.Rd | 1 SHT-0.1.4/SHT/man/mean2.1931Hotelling.Rd | 1 SHT-0.1.4/SHT/man/mean2.1958Dempster.Rd | 4 SHT-0.1.4/SHT/man/mean2.1965Yao.Rd | 1 SHT-0.1.4/SHT/man/mean2.1980Johansen.Rd | 1 SHT-0.1.4/SHT/man/mean2.1986NVM.Rd | 1 SHT-0.1.4/SHT/man/mean2.1996BS.Rd | 4 SHT-0.1.4/SHT/man/mean2.2004KY.Rd | 1 SHT-0.1.4/SHT/man/mean2.2008SD.Rd | 4 SHT-0.1.4/SHT/man/mean2.2011LJW.Rd | 4 SHT-0.1.4/SHT/man/mean2.2014CLX.Rd | 1 SHT-0.1.4/SHT/man/mean2.2014Thulin.Rd | 4 SHT-0.1.4/SHT/man/mean2.mxPBF.Rd | 2 SHT-0.1.4/SHT/man/mean2.ttest.Rd | 4 SHT-0.1.4/SHT/man/meank.2007Schott.Rd | 1 SHT-0.1.4/SHT/man/meank.2009ZX.Rd | 1 SHT-0.1.4/SHT/man/meank.2019CPH.Rd | 1 SHT-0.1.4/SHT/man/meank.anova.Rd | 1 SHT-0.1.4/SHT/man/mvar1.1998AS.Rd | 1 SHT-0.1.4/SHT/man/mvar1.LRT.Rd | 1 SHT-0.1.4/SHT/man/mvar2.1930PN.Rd | 1 SHT-0.1.4/SHT/man/mvar2.1976PL.Rd | 1 SHT-0.1.4/SHT/man/mvar2.1982Muirhead.Rd | 1 SHT-0.1.4/SHT/man/mvar2.2012ZXC.Rd | 1 SHT-0.1.4/SHT/man/mvar2.LRT.Rd | 1 SHT-0.1.4/SHT/man/norm.1965SW.Rd | 1 SHT-0.1.4/SHT/man/norm.1972SF.Rd | 1 SHT-0.1.4/SHT/man/norm.1980JB.Rd | 1 SHT-0.1.4/SHT/man/norm.1996AJB.Rd | 1 SHT-0.1.4/SHT/man/norm.2008RJB.Rd | 1 SHT-0.1.4/SHT/man/sim1.2017Liu.Rd | 1 SHT-0.1.4/SHT/man/sim2.2018HN.Rd | 1 SHT-0.1.4/SHT/man/unif.2017YMi.Rd | 1 SHT-0.1.4/SHT/man/unif.2017YMq.Rd | 1 SHT-0.1.4/SHT/man/usek1d.Rd | 3 SHT-0.1.4/SHT/man/useknd.Rd | 3 SHT-0.1.4/SHT/man/var1.chisq.Rd | 1 SHT-0.1.4/SHT/man/var2.F.Rd | 1 SHT-0.1.4/SHT/man/vark.1937Bartlett.Rd | 1 SHT-0.1.4/SHT/man/vark.1960Levene.Rd | 1 SHT-0.1.4/SHT/man/vark.1974BF.Rd | 1 SHT-0.1.4/SHT/src/cpp_eqdist_2014BG.cpp | 11 + 126 files changed, 281 insertions(+), 194 deletions(-)
Title: Empirical Dynamic Modeling ('EDM')
Description: An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library. It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'multiview embedding' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.
Author: Joseph Park [aut, cre] (<https://orcid.org/0000-0001-5411-1409>),
Cameron Smith [aut],
George Sugihara [aut, ccp] (<https://orcid.org/0000-0002-2863-6946>),
Ethan Deyle [aut] (<https://orcid.org/0000-0001-8704-8434>),
Erik Saberski [ctb] (<https://orcid.org/0000-0002-6475-6187>),
Hao Ye [ctb] (<https://orcid.org/0000-0002-8630-1458>),
The Regents of the University of California [cph]
Maintainer: Joseph Park <JosephPark@IEEE.org>
Diff between rEDM versions 1.8.2 dated 2021-05-02 and 1.9.0 dated 2021-06-22
DESCRIPTION | 8 ++-- MD5 | 38 +++++++++---------- NEWS | 4 +- R/EDM.R | 16 +++++--- R/LegacyInterface.R | 4 ++ build/vignette.rds |binary man/SMap.Rd | 6 ++- man/Simplex.Rd | 7 +++ src/RcppEDMCommon.cpp | 16 ++++---- src/RcppEDMCommon.h | 76 ++++++++++++++++++++------------------- src/SMap.cpp | 53 ++++++++++++++------------- src/Simplex.cpp | 47 ++++++++++++------------ src/cppEDM/src/API.cc | 34 +++++++++++------ src/cppEDM/src/API.h | 24 +++++++++--- src/cppEDM/src/EDM.h | 1 src/cppEDM/src/EDM_Formatting.cc | 19 +++++++++ src/cppEDM/src/EDM_Neighbors.cc | 16 ++++++++ src/cppEDM/src/Parameter.cc | 6 ++- src/cppEDM/src/Parameter.h | 4 ++ vignettes/rEDM-tutorial.html | 16 ++++---- 20 files changed, 246 insertions(+), 149 deletions(-)
Title: Creating and Working with Pedigrees and Marker Data
Description: A comprehensive collection of tools for creating,
manipulating and visualising pedigrees and genetic marker data.
Pedigrees can be read from text files or created on the fly with
built-in functions. A range of utilities enable modifications like
adding or removing individuals, breaking loops, and merging pedigrees.
Pedigree plots are produced by wrapping the plotting functionality of
the 'kinship2' package. A Shiny app for creating pedigrees, based on
'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>.
'pedtools' is the hub of the 'ped suite', a collection of packages for
pedigree analysis. A detailed presentation of the 'ped suite' is given
in the book 'Pedigree Analysis in R' (Vigeland, 2021,
ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
(<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Diff between pedtools versions 0.9.7 dated 2021-02-10 and 1.0.1 dated 2021-06-22
DESCRIPTION | 44 +- MD5 | 51 +- NAMESPACE | 2 NEWS.md | 21 R/marker.R | 46 ++ R/marker_allelematrix.R | 2 R/marker_genomatrix.R | 15 R/marker_utils.R | 5 R/ped.R | 2 R/ped_complex.R | 3 R/ped_plot.R | 41 + R/ped_subgroups.R | 245 +++++++++-- R/ped_utils.R | 112 ++++- R/pedtools-package.R | 13 README.md | 15 build/vignette.rds |binary inst/doc/pedtools.html | 768 ++++++++---------------------------- man/figures/README-example-1.png |binary man/is.marker.Rd | 3 man/marker.Rd | 4 man/nMarkers.Rd | 2 man/newMarker.Rd |only man/ped_subgroups.Rd | 4 man/ped_utils.Rd | 20 man/pedtools.Rd | 11 man/plot.ped.Rd | 21 tests/testthat/test-ped-relatives.R | 63 ++ 27 files changed, 770 insertions(+), 743 deletions(-)
Title: Extra Methods for Sparse Matrices
Description: Extends sparse matrix and vector classes from the 'Matrix' package by providing:
(a) Methods and operators that work natively on CSR formats (compressed sparse row,
a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(),
mathematical operators for CSR and COO such as addition ("+") or sqrt(), and methods such as diag();
(b) Multi-threaded matrix multiplication and cross-product for many <sparse, dense> types,
including the 'float32' type from 'float';
(c) Coercion methods between pairs of classes which are not present in 'Matrix',
such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions;
(d) Utility functions for sparse matrices such as sorting the indices or removing
zero-valued entries;
(e) Fast transposes that work by outputting in the opposite storage format;
(f) Faster replacements for many 'Matrix' methods for all sparse types, such as
slicing and elementwise multiplication.
Author: David Cortes [aut, cre, cph],
Dmitry Selivanov [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Diff between MatrixExtra versions 0.1.4 dated 2021-05-18 and 0.1.5 dated 2021-06-22
DESCRIPTION | 6 +- MD5 | 12 ++--- configure | 18 ++++---- configure.ac | 2 inst/doc/Introducing_MatrixExtra.html | 62 ++++++++++++++-------------- vignettes/Introducing_MatrixExtra.Rmd | 14 +++--- vignettes/Introducing_MatrixExtra.html | 71 ++++++++++++++++----------------- 7 files changed, 92 insertions(+), 93 deletions(-)
Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models.
The models and their components are represented using S4 classes and
methods. The core computational algorithms are implemented using the
'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut] (<https://orcid.org/0000-0001-8316-9503>),
Martin Maechler [aut] (<https://orcid.org/0000-0002-8685-9910>),
Ben Bolker [aut, cre] (<https://orcid.org/0000-0002-2127-0443>),
Steven Walker [aut] (<https://orcid.org/0000-0002-4394-9078>),
Rune Haubo Bojesen Christensen [ctb]
(<https://orcid.org/0000-0002-4494-3399>),
Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>),
Bin Dai [ctb],
Fabian Scheipl [ctb] (<https://orcid.org/0000-0001-8172-3603>),
Gabor Grothendieck [ctb],
Peter Green [ctb] (<https://orcid.org/0000-0002-0238-9852>),
John Fox [ctb],
Alexander Bauer [ctb],
Pavel N. Krivitsky [ctb, cph] (<https://orcid.org/0000-0002-9101-3362>,
shared copyright on simulate.formula)
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>
Diff between lme4 versions 1.1-27 dated 2021-05-15 and 1.1-27.1 dated 2021-06-22
DESCRIPTION | 6 MD5 | 41 +- R/methods.R | 24 - R/utilities.R | 8 build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.Rd | 24 + inst/doc/PLSvGLS.pdf |binary inst/doc/Theory.pdf |binary inst/doc/lmer.pdf |binary inst/doc/lmerperf.R | 55 +-- inst/doc/lmerperf.Rmd | 166 ++++++--- inst/doc/lmerperf.html | 117 +++++- inst/testdata/lmerperf.rda |only man/influence.merMod.Rd | 4 src/external.cpp | 2 src/respModule.cpp | 2 tests/testthat/test-eval.R | 5 tests/testthat/test-methods.R | 721 ++++++++++++++++++++++-------------------- tests/testthat/test-predict.R | 16 tests/testthat/test-start.R | 7 vignettes/lmerperf.Rmd | 166 ++++++--- 22 files changed, 810 insertions(+), 554 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-12 0.5.1
2021-03-04 0.5.0
2021-01-19 0.4.3
2020-12-08 0.4.2
2020-10-30 0.4.0
2020-09-12 0.3.0
2020-06-19 0.2.1
2020-04-11 0.2.0
2020-03-20 0.1.0
Title: Vehicular Emissions Inventories
Description: Elaboration of vehicular emissions inventories,
consisting in four stages, pre-processing activity data, preparing
emissions factors, estimating the emissions and post-processing of emissions
in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>.
Before using VEIN you need to know the vehicular composition of your study area, in other words,
the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to
start with the project to download a template to create a structure of directories and scripts.
Author: Sergio Ibarra-Espinosa [aut, cre, wdc]
(<https://orcid.org/0000-0002-3162-1905>)
Maintainer: Sergio Ibarra-Espinosa <sergio.ibarra@usp.br>
Diff between vein versions 0.9.1.2 dated 2021-02-17 and 0.9.2 dated 2021-06-22
vein-0.9.1.2/vein/inst/README.Rmd |only vein-0.9.1.2/vein/inst/README.html |only vein-0.9.2/vein/DESCRIPTION | 12 +-- vein-0.9.2/vein/MD5 | 118 ++++++++++++++++++++++++++++------- vein-0.9.2/vein/NAMESPACE | 5 - vein-0.9.2/vein/NEWS.md | 17 ++++- vein-0.9.2/vein/R/Vehicles.R | 8 +- vein-0.9.2/vein/R/age_hdv.R | 2 vein-0.9.2/vein/R/age_ldv.R | 2 vein-0.9.2/vein/R/age_moto.R | 38 +++++------ vein-0.9.2/vein/R/ef_cetesb.R | 11 +-- vein-0.9.2/vein/R/emis.R | 16 ++-- vein-0.9.2/vein/R/emis_cold_td.R | 23 +++--- vein-0.9.2/vein/R/emis_hot_td.R | 32 ++++----- vein-0.9.2/vein/R/get_project.R | 45 +++++++++++-- vein-0.9.2/vein/R/speciate.R | 4 + vein-0.9.2/vein/R/sysdata.rda |binary vein-0.9.2/vein/R/zzz.R |only vein-0.9.2/vein/build/vignette.rds |binary vein-0.9.2/vein/data/pollutants.rda |binary vein-0.9.2/vein/inst/doc/basics.html | 15 ++-- vein-0.9.2/vein/man/ef_cetesb.Rd | 4 - vein-0.9.2/vein/man/get_project.Rd | 2 vein-0.9.2/vein/man/speciate.Rd | 4 + vein-0.9.2/vein/man/vein-package.Rd | 4 - vein-0.9.2/vein/tests |only 26 files changed, 250 insertions(+), 112 deletions(-)
Title: Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM'
Formats
Description: Read and write labelled sparse matrices in text format as used by
software such as 'SVMLight', 'LibSVM', 'ThunderSVM', 'LibFM', 'xLearn', 'XGBoost', 'LightGBM',
and others. Supports labelled data for regression, classification (binary, multi-class, multi-label),
and ranking (with 'qid' field), and can handle header metadata and comments in files.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Diff between readsparse versions 0.1.2-2 dated 2021-05-20 and 0.1.3 dated 2021-06-22
DESCRIPTION | 8 MD5 | 32 - R/RcppExports.R | 16 R/read_sparse.R | 15 man/read.sparse.Rd | 3 src/Makevars.win | 2 src/RcppExports.cpp | 36 - src/Rwrapper.cpp | 24 - src/reader.cpp | 810 ++++++++++++++++++++++++--------------- src/reader.h | 107 ++++- src/readsparse.h | 44 +- src/readsparse_detemplated.h | 666 ++++++++++++++++++-------------- src/readsparse_internal.h | 14 src/utils.h | 7 src/writer.cpp | 166 ++++--- src/writer.h | 6 tests/testthat/test-read-write.R | 59 ++ 17 files changed, 1265 insertions(+), 750 deletions(-)
Title: Generalized Random Forests
Description: A pluggable package for forest-based statistical estimation and inference.
GRF currently provides methods for non-parametric least-squares regression,
quantile regression, survival regression and treatment effect estimation (optionally using instrumental
variables), with support for missing values.
Author: Julie Tibshirani [aut, cre],
Susan Athey [aut],
Rina Friedberg [ctb],
Vitor Hadad [ctb],
David Hirshberg [ctb],
Luke Miner [ctb],
Erik Sverdrup [aut],
Stefan Wager [aut],
Marvin Wright [ctb]
Maintainer: Julie Tibshirani <jtibs@cs.stanford.edu>
Diff between grf versions 1.2.0 dated 2020-06-04 and 2.0.0 dated 2021-06-22
grf-1.2.0/grf/R/average_late.R |only grf-1.2.0/grf/R/average_partial_effect.R |only grf-1.2.0/grf/R/custom_forest.R |only grf-1.2.0/grf/R/local_linear_forest.R |only grf-1.2.0/grf/R/tune_causal_forest.R |only grf-1.2.0/grf/R/tune_instrumental_forest.R |only grf-1.2.0/grf/R/tune_local_linear_causal_forest.R |only grf-1.2.0/grf/R/tune_local_linear_forest.R |only grf-1.2.0/grf/R/tune_regression_forest.R |only grf-1.2.0/grf/R/tuning.R |only grf-1.2.0/grf/man/grf.Rd |only grf-1.2.0/grf/man/predict.custom_forest.Rd |only grf-1.2.0/grf/src/CustomForestBindings.cpp |only grf-1.2.0/grf/src/RcppData.cpp |only grf-1.2.0/grf/src/RcppData.h |only grf-1.2.0/grf/src/src/commons/DefaultData.cpp |only grf-1.2.0/grf/src/src/commons/DefaultData.h |only grf-1.2.0/grf/src/src/commons/SparseData.cpp |only grf-1.2.0/grf/src/src/commons/SparseData.h |only grf-1.2.0/grf/src/src/prediction/CustomPredictionStrategy.cpp |only grf-1.2.0/grf/src/src/prediction/CustomPredictionStrategy.h |only grf-1.2.0/grf/src/src/relabeling/CustomRelabelingStrategy.cpp |only grf-1.2.0/grf/src/src/relabeling/CustomRelabelingStrategy.h |only grf-2.0.0/grf/DESCRIPTION | 14 grf-2.0.0/grf/MD5 | 319 +- grf-2.0.0/grf/NAMESPACE | 32 grf-2.0.0/grf/R/RcppExports.R | 136 grf-2.0.0/grf/R/analysis_tools.R | 120 grf-2.0.0/grf/R/average_treatment_effect.R | 322 +- grf-2.0.0/grf/R/boosted_regression_forest.R | 3 grf-2.0.0/grf/R/causal_forest.R | 107 grf-2.0.0/grf/R/causal_survival_forest.R |only grf-2.0.0/grf/R/deprecated.R |only grf-2.0.0/grf/R/dgps.R |only grf-2.0.0/grf/R/forest_summary.R | 170 - grf-2.0.0/grf/R/get_scores.R |only grf-2.0.0/grf/R/grf-package.R |only grf-2.0.0/grf/R/input_utilities.R | 124 grf-2.0.0/grf/R/instrumental_forest.R | 113 grf-2.0.0/grf/R/ll_regression_forest.R |only grf-2.0.0/grf/R/merge_forests.R | 3 grf-2.0.0/grf/R/multi_arm_causal_forest.R |only grf-2.0.0/grf/R/multi_regression_forest.R |only grf-2.0.0/grf/R/plot.R | 5 grf-2.0.0/grf/R/print.R | 7 grf-2.0.0/grf/R/probability_forest.R |only grf-2.0.0/grf/R/quantile_forest.R | 13 grf-2.0.0/grf/R/regression_forest.R | 63 grf-2.0.0/grf/R/survival_forest.R | 88 grf-2.0.0/grf/R/tune_forest.R |only grf-2.0.0/grf/R/tune_ll_causal_forest.R |only grf-2.0.0/grf/R/tune_ll_regression_forest.R |only grf-2.0.0/grf/man/average_late.Rd | 55 grf-2.0.0/grf/man/average_partial_effect.Rd | 62 grf-2.0.0/grf/man/average_treatment_effect.Rd | 99 grf-2.0.0/grf/man/best_linear_projection.Rd | 50 grf-2.0.0/grf/man/boosted_regression_forest.Rd | 3 grf-2.0.0/grf/man/causal_forest.Rd | 10 grf-2.0.0/grf/man/causal_survival_forest.Rd |only grf-2.0.0/grf/man/compute_eta.Rd |only grf-2.0.0/grf/man/custom_forest.Rd | 101 grf-2.0.0/grf/man/expected_survival.Rd |only grf-2.0.0/grf/man/generate_causal_data.Rd |only grf-2.0.0/grf/man/generate_causal_survival_data.Rd |only grf-2.0.0/grf/man/get_forest_weights.Rd |only grf-2.0.0/grf/man/get_leaf_node.Rd |only grf-2.0.0/grf/man/get_sample_weights.Rd | 37 grf-2.0.0/grf/man/get_scores.Rd |only grf-2.0.0/grf/man/get_scores.causal_forest.Rd |only grf-2.0.0/grf/man/get_scores.causal_survival_forest.Rd |only grf-2.0.0/grf/man/get_scores.instrumental_forest.Rd |only grf-2.0.0/grf/man/get_scores.multi_arm_causal_forest.Rd |only grf-2.0.0/grf/man/grf-package.Rd |only grf-2.0.0/grf/man/instrumental_forest.Rd | 23 grf-2.0.0/grf/man/leaf_stats.causal_forest.Rd | 1 grf-2.0.0/grf/man/leaf_stats.default.Rd | 1 grf-2.0.0/grf/man/leaf_stats.instrumental_forest.Rd | 1 grf-2.0.0/grf/man/leaf_stats.regression_forest.Rd | 1 grf-2.0.0/grf/man/ll_regression_forest.Rd | 17 grf-2.0.0/grf/man/multi_arm_causal_forest.Rd |only grf-2.0.0/grf/man/multi_regression_forest.Rd |only grf-2.0.0/grf/man/plot.grf_tree.Rd | 3 grf-2.0.0/grf/man/predict.causal_survival_forest.Rd |only grf-2.0.0/grf/man/predict.instrumental_forest.Rd | 18 grf-2.0.0/grf/man/predict.ll_regression_forest.Rd | 4 grf-2.0.0/grf/man/predict.multi_arm_causal_forest.Rd |only grf-2.0.0/grf/man/predict.multi_regression_forest.Rd |only grf-2.0.0/grf/man/predict.probability_forest.Rd |only grf-2.0.0/grf/man/predict.quantile_forest.Rd | 2 grf-2.0.0/grf/man/predict.regression_forest.Rd | 2 grf-2.0.0/grf/man/predict.survival_forest.Rd | 31 grf-2.0.0/grf/man/probability_forest.Rd |only grf-2.0.0/grf/man/quantile_forest.Rd | 3 grf-2.0.0/grf/man/regression_forest.Rd | 5 grf-2.0.0/grf/man/split_frequencies.Rd | 2 grf-2.0.0/grf/man/survival_forest.Rd | 29 grf-2.0.0/grf/man/test_calibration.Rd | 15 grf-2.0.0/grf/man/tune_causal_forest.Rd | 143 - grf-2.0.0/grf/man/tune_forest.Rd | 17 grf-2.0.0/grf/man/tune_instrumental_forest.Rd | 147 - grf-2.0.0/grf/man/tune_ll_causal_forest.Rd | 21 grf-2.0.0/grf/man/tune_ll_regression_forest.Rd | 19 grf-2.0.0/grf/man/tune_regression_forest.Rd | 126 grf-2.0.0/grf/man/variable_importance.Rd | 2 grf-2.0.0/grf/src/AnalysisToolsBindings.cpp | 47 grf-2.0.0/grf/src/CausalForestBindings.cpp | 92 grf-2.0.0/grf/src/CausalSurvivalForestBindings.cpp |only grf-2.0.0/grf/src/InstrumentalForestBindings.cpp | 74 grf-2.0.0/grf/src/MultiCausalForestBindings.cpp |only grf-2.0.0/grf/src/MultiRegressionForestBindings.cpp |only grf-2.0.0/grf/src/ProbabilityForestBindings.cpp |only grf-2.0.0/grf/src/QuantileForestBindings.cpp | 58 grf-2.0.0/grf/src/RcppExports.cpp | 560 ++-- grf-2.0.0/grf/src/RcppUtilities.cpp | 45 grf-2.0.0/grf/src/RcppUtilities.h | 21 grf-2.0.0/grf/src/RegressionForestBindings.cpp | 86 grf-2.0.0/grf/src/SurvivalForestBindings.cpp | 60 grf-2.0.0/grf/src/optional/optional.hpp | 1370 +++++----- grf-2.0.0/grf/src/src/commons/Data.cpp | 177 - grf-2.0.0/grf/src/src/commons/Data.h | 131 grf-2.0.0/grf/src/src/commons/globals.h | 1 grf-2.0.0/grf/src/src/commons/utility.cpp | 79 grf-2.0.0/grf/src/src/commons/utility.h | 11 grf-2.0.0/grf/src/src/forest/Forest.cpp | 2 grf-2.0.0/grf/src/src/forest/Forest.h | 4 grf-2.0.0/grf/src/src/forest/ForestPredictors.cpp | 36 grf-2.0.0/grf/src/src/forest/ForestPredictors.h | 12 grf-2.0.0/grf/src/src/forest/ForestTrainer.cpp | 1 grf-2.0.0/grf/src/src/forest/ForestTrainers.cpp | 58 grf-2.0.0/grf/src/src/forest/ForestTrainers.h | 10 grf-2.0.0/grf/src/src/prediction/CausalSurvivalPredictionStrategy.cpp |only grf-2.0.0/grf/src/src/prediction/CausalSurvivalPredictionStrategy.h |only grf-2.0.0/grf/src/src/prediction/DefaultPredictionStrategy.h | 1 grf-2.0.0/grf/src/src/prediction/InstrumentalPredictionStrategy.cpp | 163 - grf-2.0.0/grf/src/src/prediction/InstrumentalPredictionStrategy.h | 3 grf-2.0.0/grf/src/src/prediction/LLCausalPredictionStrategy.cpp | 7 grf-2.0.0/grf/src/src/prediction/LLCausalPredictionStrategy.h | 2 grf-2.0.0/grf/src/src/prediction/LocalLinearPredictionStrategy.cpp | 3 grf-2.0.0/grf/src/src/prediction/MultiCausalPredictionStrategy.cpp |only grf-2.0.0/grf/src/src/prediction/MultiCausalPredictionStrategy.h |only grf-2.0.0/grf/src/src/prediction/MultiRegressionPredictionStrategy.cpp |only grf-2.0.0/grf/src/src/prediction/MultiRegressionPredictionStrategy.h |only grf-2.0.0/grf/src/src/prediction/ObjectiveBayesDebiaser.cpp | 11 grf-2.0.0/grf/src/src/prediction/PredictionValues.cpp | 6 grf-2.0.0/grf/src/src/prediction/PredictionValues.h | 9 grf-2.0.0/grf/src/src/prediction/ProbabilityPredictionStrategy.cpp |only grf-2.0.0/grf/src/src/prediction/ProbabilityPredictionStrategy.h |only grf-2.0.0/grf/src/src/prediction/QuantilePredictionStrategy.cpp | 4 grf-2.0.0/grf/src/src/prediction/QuantilePredictionStrategy.h | 1 grf-2.0.0/grf/src/src/prediction/RegressionPredictionStrategy.cpp | 63 grf-2.0.0/grf/src/src/prediction/RegressionPredictionStrategy.h | 2 grf-2.0.0/grf/src/src/prediction/SurvivalPredictionStrategy.cpp | 55 grf-2.0.0/grf/src/src/prediction/SurvivalPredictionStrategy.h | 22 grf-2.0.0/grf/src/src/prediction/collector/DefaultPredictionCollector.cpp | 13 grf-2.0.0/grf/src/src/prediction/collector/OptimizedPredictionCollector.cpp | 3 grf-2.0.0/grf/src/src/relabeling/CausalSurvivalRelabelingStrategy.cpp |only grf-2.0.0/grf/src/src/relabeling/CausalSurvivalRelabelingStrategy.h |only grf-2.0.0/grf/src/src/relabeling/InstrumentalRelabelingStrategy.cpp | 29 grf-2.0.0/grf/src/src/relabeling/InstrumentalRelabelingStrategy.h | 2 grf-2.0.0/grf/src/src/relabeling/LLRegressionRelabelingStrategy.cpp | 6 grf-2.0.0/grf/src/src/relabeling/LLRegressionRelabelingStrategy.h | 3 grf-2.0.0/grf/src/src/relabeling/MultiCausalRelabelingStrategy.cpp |only grf-2.0.0/grf/src/src/relabeling/MultiCausalRelabelingStrategy.h |only grf-2.0.0/grf/src/src/relabeling/MultiNoopRelabelingStrategy.cpp |only grf-2.0.0/grf/src/src/relabeling/MultiNoopRelabelingStrategy.h |only grf-2.0.0/grf/src/src/relabeling/NoopRelabelingStrategy.cpp | 29 grf-2.0.0/grf/src/src/relabeling/NoopRelabelingStrategy.h | 2 grf-2.0.0/grf/src/src/relabeling/QuantileRelabelingStrategy.cpp | 4 grf-2.0.0/grf/src/src/relabeling/QuantileRelabelingStrategy.h | 2 grf-2.0.0/grf/src/src/relabeling/RelabelingStrategy.h | 25 grf-2.0.0/grf/src/src/sampling/RandomSampler.cpp | 30 grf-2.0.0/grf/src/src/sampling/RandomSampler.h | 20 grf-2.0.0/grf/src/src/sampling/SamplingOptions.cpp | 7 grf-2.0.0/grf/src/src/sampling/SamplingOptions.h | 3 grf-2.0.0/grf/src/src/splitting/CausalSurvivalSplittingRule.cpp |only grf-2.0.0/grf/src/src/splitting/CausalSurvivalSplittingRule.h |only grf-2.0.0/grf/src/src/splitting/InstrumentalSplittingRule.cpp | 12 grf-2.0.0/grf/src/src/splitting/InstrumentalSplittingRule.h | 5 grf-2.0.0/grf/src/src/splitting/MultiCausalSplittingRule.cpp |only grf-2.0.0/grf/src/src/splitting/MultiCausalSplittingRule.h |only grf-2.0.0/grf/src/src/splitting/MultiRegressionSplittingRule.cpp |only grf-2.0.0/grf/src/src/splitting/MultiRegressionSplittingRule.h |only grf-2.0.0/grf/src/src/splitting/ProbabilitySplittingRule.cpp | 29 grf-2.0.0/grf/src/src/splitting/ProbabilitySplittingRule.h | 9 grf-2.0.0/grf/src/src/splitting/RegressionSplittingRule.cpp | 8 grf-2.0.0/grf/src/src/splitting/RegressionSplittingRule.h | 6 grf-2.0.0/grf/src/src/splitting/SplittingRule.h | 3 grf-2.0.0/grf/src/src/splitting/SurvivalSplittingRule.cpp | 16 grf-2.0.0/grf/src/src/splitting/SurvivalSplittingRule.h | 8 grf-2.0.0/grf/src/src/splitting/factory/CausalSurvivalSplittingRuleFactory.cpp |only grf-2.0.0/grf/src/src/splitting/factory/CausalSurvivalSplittingRuleFactory.h |only grf-2.0.0/grf/src/src/splitting/factory/InstrumentalSplittingRuleFactory.h | 5 grf-2.0.0/grf/src/src/splitting/factory/MultiCausalSplittingRuleFactory.cpp |only grf-2.0.0/grf/src/src/splitting/factory/MultiCausalSplittingRuleFactory.h |only grf-2.0.0/grf/src/src/splitting/factory/MultiRegressionSplittingRuleFactory.cpp |only grf-2.0.0/grf/src/src/splitting/factory/MultiRegressionSplittingRuleFactory.h |only grf-2.0.0/grf/src/src/tree/Tree.h | 2 grf-2.0.0/grf/src/src/tree/TreeOptions.h | 5 grf-2.0.0/grf/src/src/tree/TreeTrainer.cpp | 8 grf-2.0.0/grf/src/src/tree/TreeTrainer.h | 7 grf-2.0.0/grf/tests/testthat/data |only grf-2.0.0/grf/tests/testthat/test_cran_smoke_test.R | 47 202 files changed, 3436 insertions(+), 2888 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-05 1.0.3.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-10-23 0.4.0
2020-08-29 0.3.0
2020-05-20 0.2.0
2019-12-06 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-05-18 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-03 1.2.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-08-14 3.2
2012-08-08 3.1
2011-03-31 3.0
2010-08-20 2.5
2010-08-19 2.4
2010-07-25 2.3
2009-11-24 2.2
2007-05-08 1.2