Title: TERN AusPlots Australian Ecosystem Monitoring Data
Description: Extraction, preparation, visualisation and analysis of TERN AusPlots ecosystem monitoring data. Direct access to plot-based data on vegetation and soils across Australia, including physical sample barcode numbers. Simple function calls extract the data and merge them into species occurrence matrices for downstream analysis, or calculate things like basal area and fractional cover. TERN AusPlots is a national field plot-based ecosystem surveillance monitoring method and dataset for Australia. The data have been collected across a national network of plots and transects by the Terrestrial Ecosystem Research Network (TERN - <https://www.tern.org.au>), an Australian Government NCRIS-enabled project, and its Ecosystem Surveillance platform (<https://www.tern.org.au/tern-land-observatory/ecosystem-surveillance-and-environmental-monitoring/>).
Author: Greg Guerin [aut, cre],
Tom Saleeba [aut],
Samantha Munroe [aut],
Bernardo Blanco-Martin [aut],
Irene Martin-Fores [aut],
Walid Al Naim [aut],
Andrew Tokmakoff [aut]
Maintainer: Greg Guerin <ggueri01@gmail.com>
Diff between ausplotsR versions 2.0.4 dated 2023-10-27 and 2.0.5 dated 2023-11-16
DESCRIPTION | 14 +- MD5 | 18 +-- NAMESPACE | 1 R/ausplots_queries.r | 257 ++++++++++++++++++++++++++-------------------- R/fractional_cover.R | 22 ++- inst/doc/start_guide.R | 2 inst/doc/start_guide.Rmd | 2 inst/doc/start_guide.html | 184 ++++++++++++++++---------------- man/ausplotsR-package.Rd | 6 - vignettes/start_guide.Rmd | 2 10 files changed, 273 insertions(+), 235 deletions(-)
Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to
version, share, deploy, and monitor a trained model. Functions handle
both recording and checking the model's input data prototype, and
predicting from a remote API endpoint. The 'vetiver' package is
extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] ,
Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>
Diff between vetiver versions 0.2.4 dated 2023-09-11 and 0.2.5 dated 2023-11-16
vetiver-0.2.4/vetiver/inst/rmarkdown/templates/vetiver_model_card/skeleton/skeleton.html |only vetiver-0.2.4/vetiver/tests/testthat/vetiver_renv.lock |only vetiver-0.2.5/vetiver/DESCRIPTION | 8 vetiver-0.2.5/vetiver/LICENSE | 2 vetiver-0.2.5/vetiver/MD5 | 61 - vetiver-0.2.5/vetiver/NEWS.md | 4 vetiver-0.2.5/vetiver/R/attach-pkgs.R | 4 vetiver-0.2.5/vetiver/R/handlers.R | 4 vetiver-0.2.5/vetiver/R/prototype.R | 4 vetiver-0.2.5/vetiver/R/renv.R | 6 vetiver-0.2.5/vetiver/R/rsconnect.R | 7 vetiver-0.2.5/vetiver/R/sagemaker.R | 6 vetiver-0.2.5/vetiver/R/write-docker.R | 4 vetiver-0.2.5/vetiver/R/write-plumber.R | 8 vetiver-0.2.5/vetiver/README.md | 2 vetiver-0.2.5/vetiver/build/vignette.rds |binary vetiver-0.2.5/vetiver/inst/doc/vetiver.R | 2 vetiver-0.2.5/vetiver/inst/doc/vetiver.html | 327 +++--- vetiver-0.2.5/vetiver/inst/vendor/renv.R | 531 ++++++---- vetiver-0.2.5/vetiver/man/figures/lifecycle-archived.svg | 22 vetiver-0.2.5/vetiver/man/figures/lifecycle-defunct.svg | 22 vetiver-0.2.5/vetiver/man/figures/lifecycle-deprecated.svg | 22 vetiver-0.2.5/vetiver/man/figures/lifecycle-experimental.svg | 22 vetiver-0.2.5/vetiver/man/figures/lifecycle-maturing.svg | 22 vetiver-0.2.5/vetiver/man/figures/lifecycle-questioning.svg | 22 vetiver-0.2.5/vetiver/man/figures/lifecycle-soft-deprecated.svg |only vetiver-0.2.5/vetiver/man/figures/lifecycle-stable.svg | 30 vetiver-0.2.5/vetiver/man/figures/lifecycle-superseded.svg | 22 vetiver-0.2.5/vetiver/man/figures/logo.png |binary vetiver-0.2.5/vetiver/man/vetiver_deploy_rsconnect.Rd | 7 vetiver-0.2.5/vetiver/man/vetiver_deploy_sagemaker.Rd | 6 vetiver-0.2.5/vetiver/tests/testthat/_snaps/write-plumber.md | 38 vetiver-0.2.5/vetiver/tests/testthat/test-write-plumber.R | 40 33 files changed, 858 insertions(+), 397 deletions(-)
Title: Visualization and Post-Processing of 'RevBayes' Analyses
Description: Processes and visualizes the output of complex phylogenetic analyses from the 'RevBayes' phylogenetic graphical modeling software.
Author: Carrie Tribble [aut, cre] ,
Michael R. May [aut],
William A. Freyman [aut],
Michael J. Landis [aut],
Lim Jun Ying [aut],
Joelle Barido-Sottani [aut],
Andrew Magee [aut],
Bjorn Tore Kopperud [aut],
Sebastian Hohna [aut],
Nagashima Kengo [ctb],
Schliep [...truncated...]
Maintainer: Carrie Tribble <ctribble09@gmail.com>
Diff between RevGadgets versions 1.1.1 dated 2023-05-25 and 1.2.0 dated 2023-11-16
RevGadgets-1.1.1/RevGadgets/R/PlotDiversityOBDP.R |only RevGadgets-1.2.0/RevGadgets/DESCRIPTION | 22 +- RevGadgets-1.2.0/RevGadgets/MD5 | 33 ++- RevGadgets-1.2.0/RevGadgets/NAMESPACE | 2 RevGadgets-1.2.0/RevGadgets/NEWS.md | 9 RevGadgets-1.2.0/RevGadgets/R/plotDivRates.R | 26 +- RevGadgets-1.2.0/RevGadgets/R/plotDiversityOBDP.R |only RevGadgets-1.2.0/RevGadgets/R/plotPopSizes.R |only RevGadgets-1.2.0/RevGadgets/R/plotTrace.R | 16 - RevGadgets-1.2.0/RevGadgets/R/processDivRates.R | 94 +++++----- RevGadgets-1.2.0/RevGadgets/R/processPopSizes.R |only RevGadgets-1.2.0/RevGadgets/R/utils.R | 46 ++++ RevGadgets-1.2.0/RevGadgets/README.md | 2 RevGadgets-1.2.0/RevGadgets/inst/developers_guide.md |only RevGadgets-1.2.0/RevGadgets/inst/extdata/graphs/plotPopSizes.rds |only RevGadgets-1.2.0/RevGadgets/inst/extdata/pop_size |only RevGadgets-1.2.0/RevGadgets/man/plotPopSizes.Rd |only RevGadgets-1.2.0/RevGadgets/man/processPopSizes.Rd |only RevGadgets-1.2.0/RevGadgets/tests/testthat/test_plotDivRates.R | 2 RevGadgets-1.2.0/RevGadgets/tests/testthat/test_plotPopSizes.R |only RevGadgets-1.2.0/RevGadgets/tests/testthat/test_processPopSizes.R |only 21 files changed, 162 insertions(+), 90 deletions(-)
Title: Microclimatic Data Processing
Description: Handling the microclimatic data in R. The 'myClim' workflow begins
at the reading data primary from microclimatic dataloggers,
but can be also reading of meteorological station data from files.
Cleaning time step, time zone settings and metadata collecting is the next step of the work flow.
With 'myClim' tools one can crop, join, downscale, and convert microclimatic data formats, sort them into localities,
request descriptive characteristics and compute microclimatic variables.
Handy plotting functions are provided with smart defaults.
Author: Matej Man [aut],
Vojtech Kalcik [aut, cre],
Martin Macek [aut],
Josef Bruna [aut],
Lucia Hederova [aut],
Jan Wild [aut],
Martin Kopecky [aut],
Institute of Botany of the Czech Academy of Sciences [cph]
Maintainer: Vojtech Kalcik <Vojtech.Kalcik@ibot.cas.cz>
Diff between myClim versions 1.0.1 dated 2023-05-08 and 1.0.12 dated 2023-11-16
DESCRIPTION | 16 MD5 | 236 ++++++++------ NAMESPACE | 34 ++ NEWS.md | 65 +++ R/agg.R | 8 R/calc.R | 268 ++++++++-------- R/calib.R | 90 +++-- R/common.R | 40 ++ R/data.R | 89 +++-- R/env.R | 34 +- R/info.R | 33 -- R/join.R | 84 +++-- R/model.R | 460 ++++++++++++++++++++-------- R/myClim-package.R | 4 R/plot.R | 225 +++++++++---- R/prep.R | 521 +++++++++++++++++++++++--------- R/read.R | 161 ++++++--- R/reshape.R | 70 +++- R/serialize.R | 36 ++ README.md | 28 + build/vignette.rds |binary data/mc_data_example_agg.rda |binary data/mc_data_example_clean.rda |binary data/mc_data_example_raw.rda |binary data/mc_data_formats.rda |binary data/mc_data_heights.rda |binary data/mc_data_physical.rda |binary data/mc_data_sensors.rda |binary data/mc_data_vwc_parameters.rda |binary inst/CITATION |only inst/doc/myclim-custom-loggers.R |only inst/doc/myclim-custom-loggers.Rmd |only inst/doc/myclim-custom-loggers.html |only inst/doc/myclim-demo.R | 18 - inst/doc/myclim-demo.Rmd | 16 inst/doc/myclim-demo.html | 38 +- inst/extdata/TMS94184102.csv |only inst/extdata/data_93142760_201904.csv |only man/mc_DataFormat-class.Rd | 81 ++-- man/mc_HOBODataFormat-class.Rd | 6 man/mc_LoggerMetadata-class.Rd | 2 man/mc_Physical-class.Rd | 6 man/mc_Sensor-class.Rd | 6 man/mc_SensorMetadata-class.Rd | 2 man/mc_TOMSTDataFormat-class.Rd | 2 man/mc_TOMSTJoinDataFormat-class.Rd | 2 man/mc_calc_cumsum.Rd | 6 man/mc_calc_fdd.Rd | 12 man/mc_calc_gdd.Rd | 13 man/mc_calc_snow.Rd | 4 man/mc_calc_tomst_dendro.Rd | 12 man/mc_calc_vpd.Rd | 16 man/mc_calc_vwc.Rd | 106 +++--- man/mc_calib_moisture.Rd | 65 ++- man/mc_const_CALIB_MOIST_ACOR_T.Rd |only man/mc_const_CALIB_MOIST_REF_T.Rd |only man/mc_const_CALIB_MOIST_WCOR_T.Rd |only man/mc_const_SENSOR_Dendro_T.Rd |only man/mc_const_SENSOR_Dendro_raw.Rd |only man/mc_const_SENSOR_FDD.Rd |only man/mc_const_SENSOR_GDD.Rd |only man/mc_const_SENSOR_HOBO_RH.Rd |only man/mc_const_SENSOR_HOBO_T.Rd |only man/mc_const_SENSOR_RH.Rd |only man/mc_const_SENSOR_TMS_T1.Rd |only man/mc_const_SENSOR_TMS_T2.Rd |only man/mc_const_SENSOR_TMS_T3.Rd |only man/mc_const_SENSOR_TMS_moist.Rd |only man/mc_const_SENSOR_T_C.Rd |only man/mc_const_SENSOR_Thermo_T.Rd |only man/mc_const_SENSOR_VPD.Rd |only man/mc_const_SENSOR_VWC.Rd |only man/mc_const_SENSOR_count.Rd |only man/mc_const_SENSOR_coverage.Rd |only man/mc_const_SENSOR_dendro_l_um.Rd |only man/mc_const_SENSOR_integer.Rd |only man/mc_const_SENSOR_logical.Rd |only man/mc_const_SENSOR_precipitation.Rd |only man/mc_const_SENSOR_real.Rd |only man/mc_const_SENSOR_snow_bool.Rd |only man/mc_const_SENSOR_snow_fresh.Rd |only man/mc_const_SENSOR_snow_total.Rd |only man/mc_const_SENSOR_sun_shine.Rd |only man/mc_const_SENSOR_wind_speed.Rd |only man/mc_data_example_agg.Rd | 8 man/mc_data_example_clean.Rd | 8 man/mc_data_example_raw.Rd | 8 man/mc_data_formats.Rd | 17 - man/mc_data_heights.Rd | 32 + man/mc_data_physical.Rd | 11 man/mc_data_sensors.Rd | 17 - man/mc_env_moist.Rd | 8 man/mc_env_temp.Rd | 12 man/mc_env_vpd.Rd | 6 man/mc_info.Rd | 6 man/mc_info_clean.Rd | 2 man/mc_join.Rd | 86 +++-- man/mc_plot_image.Rd | 19 + man/mc_plot_line.Rd | 59 ++- man/mc_plot_raster.Rd | 17 - man/mc_prep_TMSoffsoil.Rd |only man/mc_prep_calib.Rd | 2 man/mc_prep_calib_load.Rd | 36 +- man/mc_prep_clean.Rd | 34 +- man/mc_prep_crop.Rd | 33 +- man/mc_prep_fillNA.Rd | 2 man/mc_prep_meta_locality.Rd | 16 man/mc_prep_solar_tz.Rd | 6 man/mc_read_data.Rd | 51 ++- man/mc_read_files.Rd | 33 +- man/mc_read_wide.Rd | 2 man/mc_reshape_long.Rd | 12 man/mc_reshape_wide.Rd | 12 man/myClim-package.Rd | 6 man/print.myClimList.Rd |only man/sub-.myClimList.Rd |only tests/data/HOBO/20024354_tab.txt | 4 tests/data/TMSoffsoil |only tests/data/TOMST2 |only tests/data/serialize/raw_data_1.0.5.rds |only tests/data/user_data_formats |only tests/testthat/libtest.R | 11 tests/testthat/test-agg.R | 88 ++--- tests/testthat/test-calc.R | 80 ++-- tests/testthat/test-calib.R | 2 tests/testthat/test-common.R | 2 tests/testthat/test-env.R | 2 tests/testthat/test-filter.R | 2 tests/testthat/test-info.R | 6 tests/testthat/test-join.R | 18 - tests/testthat/test-model.R | 25 + tests/testthat/test-plot.R | 24 + tests/testthat/test-prep.R | 149 +++++++-- tests/testthat/test-read.R | 87 ++++- tests/testthat/test-reshape.R | 35 ++ tests/testthat/test-serialize.R | 9 vignettes/21498648.csv |only vignettes/TMS94184102.csv |only vignettes/TMS94184102_CET.csv |only vignettes/envloggerexample.csv |only vignettes/myclim-custom-loggers.Rmd |only vignettes/myclim-demo.Rmd | 16 142 files changed, 2710 insertions(+), 1326 deletions(-)
Title: Markov Chain Monte Carlo
Description: Simulates continuous distributions of random vectors using
Markov chain Monte Carlo (MCMC). Users specify the distribution by an
R function that evaluates the log unnormalized density. Algorithms
are random walk Metropolis algorithm (function metrop), simulated
tempering (function temper), and morphometric random walk Metropolis
(Johnson and Geyer, 2012, <doi:10.1214/12-AOS1048>,
function morph.metrop),
which achieves geometric ergodicity by change of variable.
Author: Charles J. Geyer <geyer@umn.edu> and Leif T. Johnson
<ltjohnson@google.com>
Maintainer: Charles J. Geyer <geyer@umn.edu>
Diff between mcmc versions 0.9-7 dated 2020-03-21 and 0.9-8 dated 2023-11-16
ChangeLog | 3 + DESCRIPTION | 14 +++---- MD5 | 81 +++++++++++++++++++++-------------------- build/vignette.rds |binary inst/doc/bfst.R | 1 inst/doc/bfst.pdf |binary inst/doc/debug.pdf |binary inst/doc/demo.R | 1 inst/doc/demo.pdf |binary inst/doc/morph.R | 1 inst/doc/morph.pdf |binary src/metrop.c | 2 + tests/circle.R | 2 - tests/circle.Rout.save | 10 +++-- tests/logit.R | 4 +- tests/logit.Rout.save | 14 +++---- tests/logitbat.R | 2 - tests/logitbat.Rout.save | 10 +++-- tests/logitfun.R | 2 - tests/logitfun.Rout.save | 10 +++-- tests/logitfunarg.R | 2 - tests/logitfunarg.Rout.save | 11 +++-- tests/logitidx.R | 2 - tests/logitidx.Rout.save | 10 +++-- tests/logitlogidx.R | 2 - tests/logitlogidx.Rout.save | 10 +++-- tests/logitmat.R | 2 - tests/logitmat.Rout.save | 8 ++-- tests/logitnegidx.R | 2 - tests/logitnegidx.Rout.save | 10 +++-- tests/logitsub.R | 2 - tests/logitsub.Rout.save | 10 +++-- tests/logitsubbat.R | 2 - tests/logitsubbat.Rout.save | 10 +++-- tests/logitvec.R | 2 - tests/logitvec.Rout.save | 10 +++-- tests/temp-par-witch.Rout.save |only tests/temp-par.R | 2 + tests/temp-par.Rout.save | 12 ++---- tests/temp-ser.R | 2 + tests/temp-ser.Rout.save | 12 ++---- tests/zero-error.R |only tests/zero-error.Rout.save |only 43 files changed, 153 insertions(+), 127 deletions(-)
Title: Generalized Weighted Quantile Sum Regression
Description: Fits Weighted Quantile Sum (WQS) regression (Carrico et al. (2014) <doi:10.1007/s13253-014-0180-3>), a random subset implementation of WQS (Curtin et al. (2019) <doi:10.1080/03610918.2019.1577971>), a repeated holdout validation WQS (Tanner et al. (2019) <doi:10.1016/j.mex.2019.11.008>) and a WQS with 2 indices (Renzetti et al. (2023) <doi:10.3389/fpubh.2023.1289579>) for continuous, binomial, multinomial, Poisson, quasi-Poisson and negative binomial outcomes.
Author: Stefano Renzetti [aut, cre],
Paul Curtin [aut],
Allan C Just [ctb],
Ghalib Bello [ctb],
Chris Gennings [aut]
Maintainer: Stefano Renzetti <stefano.renzetti88@gmail.com>
Diff between gWQS versions 3.0.4 dated 2021-05-20 and 3.0.5 dated 2023-11-16
gWQS-3.0.4/gWQS/data/wqs_data.RData |only gWQS-3.0.5/gWQS/DESCRIPTION | 27 gWQS-3.0.5/gWQS/MD5 | 34 gWQS-3.0.5/gWQS/NAMESPACE | 14 gWQS-3.0.5/gWQS/R/data.R | 26 gWQS-3.0.5/gWQS/R/gwqs.R | 2435 +++++++++++++++++---------- gWQS-3.0.5/gWQS/R/wqs_helpers.R | 301 ++- gWQS-3.0.5/gWQS/README.md | 46 gWQS-3.0.5/gWQS/build/partial.rdb |binary gWQS-3.0.5/gWQS/build/vignette.rds |binary gWQS-3.0.5/gWQS/data/tiwqs_data.rda |only gWQS-3.0.5/gWQS/data/wqs_data.rda |only gWQS-3.0.5/gWQS/inst/doc/gwqs-vignette.R | 205 +- gWQS-3.0.5/gWQS/inst/doc/gwqs-vignette.Rmd | 287 ++- gWQS-3.0.5/gWQS/inst/doc/gwqs-vignette.html | 2437 ++++++++++++++++++++++++---- gWQS-3.0.5/gWQS/man/main_functions.Rd | 151 - gWQS-3.0.5/gWQS/man/methods.Rd | 52 gWQS-3.0.5/gWQS/man/secondary_functions.Rd | 16 gWQS-3.0.5/gWQS/man/tiwqs_data.Rd |only gWQS-3.0.5/gWQS/vignettes/gwqs-vignette.Rmd | 287 ++- 20 files changed, 4662 insertions(+), 1656 deletions(-)
Title: The Ultimate Tool for Reading Data in Bulk
Description: Designed to simplify and streamline the process of reading
and processing large volumes of data in R, this package offers a
collection of functions tailored for bulk data operations. It enables
users to efficiently read multiple sheets from Microsoft Excel and
Google Sheets workbooks, as well as various CSV files from a
directory. The data is returned as organized data frames, facilitating
further analysis and manipulation. Ideal for handling extensive data
sets or batch processing tasks, bulkreadr empowers users to manage
data in bulk effortlessly, saving time and effort in data preparation
workflows. Additionally, the package seamlessly works with labelled
data from SPSS and Stata.
Author: Ezekiel Ogundepo [aut, cre] ,
Ernest Fokoue [ctb] ,
Golibe Ezeechesi [ctb],
Fatimo Adebanjo [ctb],
Isaac Ajao [ctb]
Maintainer: Ezekiel Ogundepo <gbganalyst@gmail.com>
Diff between bulkreadr versions 1.0.0 dated 2023-09-26 and 1.1.0 dated 2023-11-16
DESCRIPTION | 31 +- MD5 | 46 ++- NAMESPACE | 6 NEWS.md | 10 R/bulkreadr-package.R | 5 R/fill_missing_values.R | 150 ++++++------ R/generate_dictionary.R |only R/inspect_na.R | 6 R/look_for.R |only R/read_spss_data.R | 2 R/read_stata_data.R | 2 README.md | 99 ++++++++ build/vignette.rds |binary inst/doc/bulkreadr.R | 20 + inst/doc/bulkreadr.Rmd | 35 ++ inst/doc/bulkreadr.html | 351 ++++++++++++++++++------------ man/bulkreadr-package.Rd | 2 man/generate_dictionary.Rd |only man/inspect_na.Rd | 80 +++--- man/look_for.Rd |only man/read_spss_data.Rd | 2 man/read_stata_data.Rd | 76 +++--- tests/testthat/test-generate_dictionary.R |only tests/testthat/test-look_for.R |only tests/testthat/test-read_spss_data.R | 24 +- tests/testthat/test-read_stata_data.R | 24 +- vignettes/bulkreadr.Rmd | 35 ++ 27 files changed, 654 insertions(+), 352 deletions(-)
Title: Behavioral Economic Easy Discounting
Description: Facilitates some of the analyses performed in studies of
behavioral economic discounting. The package supports scoring of the 27-Item Monetary Choice
Questionnaire (see Kaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>) and scoring of the
minute discounting task (see Koffarnus & Bickel, 2014; <doi:10.1037/a0035973>) using the
Qualtrics 5-trial discounting template (see the Qualtrics Minute Discounting User Guide;
<doi:10.13140/RG.2.2.26495.79527>), which is also available as a .qsf file in this package.
Author: Brent Kaplan [aut, cre, cph]
Maintainer: Brent Kaplan <bkaplan.ku@gmail.com>
Diff between beezdiscounting versions 0.3.0 dated 2023-11-14 and 0.3.1 dated 2023-11-16
DESCRIPTION | 8 ++--- MD5 | 18 ++++++------ NEWS.md | 6 ++++ R/beezdiscounting-package.R | 2 - R/fivetrial.R | 15 +++++++++- README.md | 61 +++++++++++++++++++++++++------------------- man/score_dd.Rd | 3 ++ man/score_pd.Rd | 3 ++ man/timing_dd.Rd | 3 ++ man/timing_pd.Rd | 3 ++ 10 files changed, 81 insertions(+), 41 deletions(-)
More information about beezdiscounting at CRAN
Permanent link
Title: Resolving Plant Taxon Names Using the Australian Plant Census
Description: The process of resolving taxon names is necessary when working with biodiversity data. 'APCalign' uses the Australian Plant Census (APC) and the Australian Plant Name Index (APNI) to align and update plant taxon names to current, accepted standards. 'APCalign' also supplies information about the established status of plant taxa across different states/territories.
Author: Daniel Falster [aut, cre, cph]
,
Elizabeth Wenk [aut, ctb] ,
Will Cornwell [aut, ctb] ,
Fonti Kar [aut, ctb] ,
Carl Boettiger [ctb]
Maintainer: Daniel Falster <daniel.falster@unsw.edu.au>
Diff between APCalign versions 0.1.2 dated 2023-10-11 and 0.1.3 dated 2023-11-16
APCalign-0.1.2/APCalign/inst/figures/wattle2.png |only APCalign-0.1.2/APCalign/man/figures/APCalign_hex.png |only APCalign-0.1.2/APCalign/man/figures/ausflora_hex2.png |only APCalign-0.1.3/APCalign/DESCRIPTION | 14 APCalign-0.1.3/APCalign/MD5 | 53 - APCalign-0.1.3/APCalign/NEWS.md | 12 APCalign-0.1.3/APCalign/R/align_taxa.R | 10 APCalign-0.1.3/APCalign/R/create_species_state_origin_matrix.R | 2 APCalign-0.1.3/APCalign/R/create_taxonomic_update_lookup.R | 10 APCalign-0.1.3/APCalign/R/data.R | 2 APCalign-0.1.3/APCalign/R/load_taxonomic_resources.R | 343 ++++++---- APCalign-0.1.3/APCalign/R/match_taxa.R | 2 APCalign-0.1.3/APCalign/R/standardise_names.R | 26 APCalign-0.1.3/APCalign/R/state_diversity_counts.R | 2 APCalign-0.1.3/APCalign/R/update_taxonomy.R | 49 - APCalign-0.1.3/APCalign/README.md | 8 APCalign-0.1.3/APCalign/inst/figures/hex.R | 24 APCalign-0.1.3/APCalign/man/APCalign.Rd | 2 APCalign-0.1.3/APCalign/man/align_taxa.Rd | 14 APCalign-0.1.3/APCalign/man/create_species_state_origin_matrix.Rd | 2 APCalign-0.1.3/APCalign/man/create_taxonomic_update_lookup.Rd | 15 APCalign-0.1.3/APCalign/man/figures/APCalign_hex_2.svg |only APCalign-0.1.3/APCalign/man/gbif_lite.Rd | 2 APCalign-0.1.3/APCalign/man/load_taxonomic_resources.Rd | 2 APCalign-0.1.3/APCalign/man/state_diversity_counts.Rd | 5 APCalign-0.1.3/APCalign/man/update_taxonomy.Rd | 35 - APCalign-0.1.3/APCalign/tests/testthat/benchmarks/consistency_lookup.csv | 4 APCalign-0.1.3/APCalign/tests/testthat/helper.R | 2 APCalign-0.1.3/APCalign/tests/testthat/test-alignment_executes.R | 2 APCalign-0.1.3/APCalign/tests/testthat/test-connection.R |only 30 files changed, 354 insertions(+), 288 deletions(-)
Title: Model Selection and Multimodel Inference Based on (Q)AIC(c)
Description: Functions to implement model selection and multimodel inference based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc) from various model object classes. The package implements classic model averaging for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates or effect sizes. The package includes diagnostics and goodness-of-fit statistics for certain model types including those of 'unmarkedFit' classes estimating demographic parameters after accounting for imperfect detection probabilities. Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs', 'rjags', and 'jagsUI' classes. Functions also implement model selection using BIC. Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.
Author: Marc J. Mazerolle <marc.mazerolle@sbf.ulaval.ca>
Maintainer: Marc J. Mazerolle <marc.mazerolle@sbf.ulaval.ca>
Diff between AICcmodavg versions 2.3-2 dated 2023-03-20 and 2.3-3 dated 2023-11-16
DESCRIPTION | 8 +-- MD5 | 26 ++++----- build/vignette.rds |binary inst/CITATION | 2 inst/NEWS | 6 ++ inst/NEWS.Rd | 13 +++- inst/doc/AICcmodavg-unmarked.Rnw | 2 inst/doc/AICcmodavg-unmarked.pdf |binary inst/doc/AICcmodavg.Rnw | 2 inst/doc/AICcmodavg.pdf |binary man/AICcmodavg-package.Rd | 99 ++++++++++++++++++-------------------- man/multComp.Rd | 6 +- vignettes/AICcmodavg-unmarked.Rnw | 2 vignettes/AICcmodavg.Rnw | 2 14 files changed, 89 insertions(+), 79 deletions(-)
Title: Principal Stratification Analysis in R
Description: Estimating causal effects in the presence of post-treatment confounding using principal stratification. 'PStrata' allows for customized monotonicity assumptions and exclusion restriction assumptions, with automatic full Bayesian inference supported by 'Stan'. The main function to use in this package is PStrata(), which provides posterior estimates of principal causal effect with uncertainty quantification. Visualization tools are also provided for diagnosis and interpretation. See Liu and Li (2023) <arXiv:2304.02740> for details.
Author: Bo Liu [aut, cre],
Fan Li [ctb]
Maintainer: Bo Liu <bl226@duke.edu>
Diff between PStrata versions 0.0.3 dated 2023-10-17 and 0.0.4 dated 2023-11-16
DESCRIPTION | 15 +-- MD5 | 14 +-- R/PSOutcome.R | 15 ++- R/PStrata-package.R | 1 R/make_stancode.R | 39 ++++++--- man/PSOutcome.Rd | 4 man/PSSample.Rd | 218 ++++++++++++++++++++++++++-------------------------- man/PStrata.Rd | 26 ------ 8 files changed, 169 insertions(+), 163 deletions(-)
More information about earthdatalogin at CRAN
Permanent link
Title: Quantitative Fatty Acid Signature Analysis
Description: Accurate estimates of the diets of predators are required
in many areas of ecology, but for many species current methods are
imprecise, limited to the last meal, and often biased. The diversity
of fatty acids and their patterns in organisms, coupled with the
narrow limitations on their biosynthesis, properties of digestion in
monogastric animals, and the prevalence of large storage reservoirs of
lipid in many predators, led to the development of quantitative
fatty acid signature analysis (QFASA) to study predator diets.
Author: Connie Stewart [cre, aut, cph],
Sara Iverson [aut, cph],
Chris Field [aut],
Don Bowen [aut],
Wade Blanchard [aut],
Shelley Lang [aut],
Justin Kamerman [aut],
Hongchang Bao [ctb],
Holly Steeves [aut],
Jennifer McNichol [aut],
Tyler Rideout [aut]
Maintainer: Connie Stewart <connie.stewart@unb.ca>
Diff between QFASA versions 1.1.2 dated 2022-10-18 and 1.2.0 dated 2023-11-16
QFASA-1.1.2/QFASA/man/mean.geometric.Rd |only QFASA-1.1.2/QFASA/man/split.prey.Rd |only QFASA-1.2.0/QFASA/DESCRIPTION | 10 QFASA-1.2.0/QFASA/MD5 | 62 +-- QFASA-1.2.0/QFASA/NAMESPACE | 2 QFASA-1.2.0/QFASA/NEWS.md | 13 QFASA-1.2.0/QFASA/R/All_CI_Code.R | 12 QFASA-1.2.0/QFASA/R/All_MUFASA_Code.R | 5 QFASA-1.2.0/QFASA/R/All_Selection_Algorithm_Code.R |only QFASA-1.2.0/QFASA/R/All_Simplified_MUFASA_Code.R | 3 QFASA-1.2.0/QFASA/R/All_SimultaneousEst_MUFASA_Code.R | 1 QFASA-1.2.0/QFASA/R/Confidence_Interval_Beta_Distribution.R | 16 QFASA-1.2.0/QFASA/R/pseudo.pred.R | 9 QFASA-1.2.0/QFASA/R/qfasa.R | 12 QFASA-1.2.0/QFASA/build/vignette.rds |binary QFASA-1.2.0/QFASA/inst/doc/MUFASA_Workflow_Example.html | 178 ++++----- QFASA-1.2.0/QFASA/inst/doc/Parallel_Execution_for_Confidence_Intervals.R | 6 QFASA-1.2.0/QFASA/inst/doc/Parallel_Execution_for_Confidence_Intervals.html | 131 +++--- QFASA-1.2.0/QFASA/inst/doc/QFASA_Workflow_Example.R | 20 - QFASA-1.2.0/QFASA/inst/doc/QFASA_Workflow_Example.html | 197 ++++------ QFASA-1.2.0/QFASA/inst/doc/SMUFASA_Workflow_Example.R | 2 QFASA-1.2.0/QFASA/inst/doc/SMUFASA_Workflow_Example.html | 181 ++++----- QFASA-1.2.0/QFASA/man/QFASA.Rd | 2 QFASA-1.2.0/QFASA/man/backward.elimination.Rd |only QFASA-1.2.0/QFASA/man/bestBackwardModel.Rd |only QFASA-1.2.0/QFASA/man/bestForwardModel.Rd |only QFASA-1.2.0/QFASA/man/bestSubset.Rd |only QFASA-1.2.0/QFASA/man/evaluateCombination.Rd |only QFASA-1.2.0/QFASA/man/evaluateModel.Rd |only QFASA-1.2.0/QFASA/man/forward.selection.Rd |only QFASA-1.2.0/QFASA/man/likelihoodEstimates.Rd |only QFASA-1.2.0/QFASA/man/mean_geometric.Rd |only QFASA-1.2.0/QFASA/man/p.MLE.Rd | 1 QFASA-1.2.0/QFASA/man/p.QFASA.Rd | 4 QFASA-1.2.0/QFASA/man/pseudo.pred.Rd | 9 QFASA-1.2.0/QFASA/man/pseudo.pred.norm.Rd | 5 QFASA-1.2.0/QFASA/man/split_prey.Rd |only QFASA-1.2.0/QFASA/man/zeroEstimates.Rd |only QFASA-1.2.0/QFASA/tests/testthat/testGeometricMean.R | 4 39 files changed, 463 insertions(+), 422 deletions(-)
Title: Direction Analysis for Pathways and Kinases
Description: Direction analysis is a set of tools designed to identify
combinatorial effects of multiple treatments/conditions on pathways
and kinases profiled by microarray, RNA-seq, proteomics, or phosphoproteomics
data. See Yang P et al (2014) <doi:10.1093/bioinformatics/btt616>; and Yang P et al. (2016) <doi:10.1002/pmic.201600068>.
Author: Pengyi Yang & Ellis Patrick
Maintainer: Pengyi Yang <yangpy7@gmail.com>
Diff between directPA versions 1.5 dated 2020-11-16 and 1.5.1 dated 2023-11-16
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- man/directPA-package.Rd | 5 ++--- 3 files changed, 8 insertions(+), 9 deletions(-)
Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut],
Jay Skovlin [aut],
Stephen Roecker [aut],
Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>
Diff between soilDB versions 2.7.8 dated 2023-08-29 and 2.7.10 dated 2023-11-16
DESCRIPTION | 6 MD5 | 67 - NEWS.md | 32 R/ISSR800.R | 20 R/SSURGO_query.R |only R/WCS-utils.R | 58 - R/fetchLDM.R | 12 R/fetchNASIS_report.R | 240 ++--- R/fetchOSD.R | 2 R/fetchSDA_spatial.R | 97 +- R/get_NASIS_table_name_by_purpose.R | 4 R/get_SDA_coecoclass.R | 184 +++ R/get_SDA_cosurfmorph.R | 2 R/get_SDA_interpretation.R | 1291 ++++++++++----------------- R/get_component_from_GDB.R | 352 ++++--- R/get_vegplot_data_from_NASIS_db.R | 2 R/mukey-WCS.R | 65 - R/parseWebReport.R | 68 - R/seriesExtent.R | 6 R/soilColorWCS.R | 2 R/utils.R | 363 +++++++ inst/CITATION | 4 man/fetchLDM.Rd | 3 man/fetchOSD.Rd | 1 man/fetchSDA_spatial.Rd | 16 man/get_SDA_coecoclass.Rd | 9 man/get_SDA_cosurfmorph.Rd | 2 man/get_SDA_interpretation.Rd | 927 +++++++++---------- man/parseWebReport.Rd | 11 tests/testthat/test-SDA_query.R | 2 tests/testthat/test-fetchOSD.R | 2 tests/testthat/test-fetchSDA_spatial.R | 10 tests/testthat/test-get_SDA_hydric.R | 2 tests/testthat/test-get_SDA_interpretation.R | 4 tests/testthat/test-get_SDA_property.R | 8 35 files changed, 2200 insertions(+), 1674 deletions(-)
Title: A System of Soil Classification for Making and Interpreting Soil
Surveys
Description: Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy.
Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation.
Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.
Author: Andrew Brown [aut, cre],
Dylan Beaudette [aut]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>
Diff between SoilTaxonomy versions 0.2.3 dated 2023-03-10 and 0.2.4 dated 2023-11-16
DESCRIPTION | 6 - MD5 | 24 +++--- NAMESPACE | 1 NEWS.md | 5 + R/family-classes.R | 38 ++++++---- R/taxonTree.R | 17 ++-- README.md | 30 ++++---- build/vignette.rds |binary inst/doc/diagnostics.html | 111 +++++++++++++++--------------- inst/doc/family-level_taxonomy.html | 131 ++++++++++++++++++------------------ inst/doc/taxon-letter-codes.html | 111 +++++++++++++++--------------- man/taxonTree.Rd | 4 - tests/testthat/test-parseFamily.R | 26 +++++-- 13 files changed, 268 insertions(+), 236 deletions(-)
Title: Import Various Northern and Southern Hemisphere Climate Indices
Description: Downloads Southern Oscillation Index, Oceanic Nino
Index, North Pacific Gyre Oscillation data, North Atlantic Oscillation
and Arctic Oscillation. Data sources are described in the help files for each function.
Author: Sam Albers [aut, cre],
Elio Campitelli [ctb]
Maintainer: Sam Albers <sam.albers@gmail.com>
Diff between rsoi versions 0.5.5 dated 2022-03-25 and 0.5.6 dated 2023-11-16
DESCRIPTION | 8 - MD5 | 67 +++++------ NAMESPACE | 36 +++--- NEWS.md | 125 +++++++++++---------- R/download-aao.R | 148 ++++++++++++------------- R/download-ao.R | 170 ++++++++++++++-------------- R/download-asymsam.R |only R/download-dmi.R | 162 +++++++++++++-------------- R/download-enso.R | 164 +++++++++++++-------------- R/download-nao.R | 161 +++++++++++++-------------- R/download-npgo.R | 134 +++++++++++----------- R/download-oni.R | 198 ++++++++++++++++----------------- R/download-pdo.R | 212 ++++++++++++++++++------------------ R/download-soi.R | 192 ++++++++++++++++---------------- R/download_mei.R | 180 +++++++++++++++--------------- R/rsoi-package.R | 16 +- R/utils.R | 130 +++++++++++----------- README.md | 146 ++++++++++++------------ build |only man/download_ao.Rd | 2 man/download_asymsam_monthly.Rd |only man/download_dmi.Rd | 80 ++++++------- man/download_enso.Rd | 76 ++++++------ man/download_mei.Rd | 84 +++++++------- man/download_nao.Rd | 68 +++++------ man/download_npgo.Rd | 70 +++++------ man/download_oni.Rd | 84 +++++++------- man/download_soi.Rd | 72 ++++++------ man/figures/plot-1.png |binary man/rsoi-package.Rd | 56 ++++----- tests/testthat.R | 8 - tests/testthat/helper.R | 38 +++--- tests/testthat/test-cache_logic.R | 96 ++++++++-------- tests/testthat/test-download-oni.R | 16 +- tests/testthat/test_download_.R | 90 +++++++-------- tests/testthat/test_download_enso.R | 40 +++--- 36 files changed, 1570 insertions(+), 1559 deletions(-)
Title: Utility Functions for Forest Inventory Estimation and Analysis
Description: A set of tools for data wrangling, spatial data analysis,
statistical modeling (including direct, model-assisted, photo-based, and
small area tools), and USDA Forest Service data base tools. These tools are
aimed to help Foresters, Analysts, and Scientists extract and perform
analyses on USDA Forest Service data.
Author: Tracey Frescino [aut],
Chris Toney [aut],
Grayson White [aut, cre],
Joshua Yamamoto [aut]
Maintainer: Grayson White <graysonwhite13@gmail.com>
Diff between FIESTAutils versions 1.1.8 dated 2023-07-10 and 1.2.0 dated 2023-11-16
FIESTAutils-1.1.8/FIESTAutils/man/DEFAULT_NODATA.Rd |only FIESTAutils-1.2.0/FIESTAutils/DESCRIPTION | 17 FIESTAutils-1.2.0/FIESTAutils/MD5 | 63 - FIESTAutils-1.2.0/FIESTAutils/NAMESPACE | 9 FIESTAutils-1.2.0/FIESTAutils/R/DBinternal.R | 813 +++++++++++++++++- FIESTAutils-1.2.0/FIESTAutils/R/FIESTAutils-package.R | 36 FIESTAutils-1.2.0/FIESTAutils/R/MAest.pbar.R | 583 ++++++++---- FIESTAutils-1.2.0/FIESTAutils/R/SAest.pbar.R | 114 -- FIESTAutils-1.2.0/FIESTAutils/R/checks.R | 6 FIESTAutils-1.2.0/FIESTAutils/R/cool_functions.R | 58 - FIESTAutils-1.2.0/FIESTAutils/R/datExportData.R | 61 - FIESTAutils-1.2.0/FIESTAutils/R/eval_options.R | 22 FIESTAutils-1.2.0/FIESTAutils/R/getadjfactorPLOT.R | 24 FIESTAutils-1.2.0/FIESTAutils/R/getadjfactorVOL.R | 2 FIESTAutils-1.2.0/FIESTAutils/R/pcheck.functions.R | 99 +- FIESTAutils-1.2.0/FIESTAutils/R/raster_analysis.R | 5 FIESTAutils-1.2.0/FIESTAutils/R/raster_functions.R | 4 FIESTAutils-1.2.0/FIESTAutils/R/re_exports.R | 4 FIESTAutils-1.2.0/FIESTAutils/R/spatial_functions.R | 17 FIESTAutils-1.2.0/FIESTAutils/R/write2sqlite.R | 101 +- FIESTAutils-1.2.0/FIESTAutils/README.md | 3 FIESTAutils-1.2.0/FIESTAutils/data/ref_conversion.rda |binary FIESTAutils-1.2.0/FIESTAutils/data/ref_estvar.rda |binary FIESTAutils-1.2.0/FIESTAutils/data/ref_evaltyp.rda |only FIESTAutils-1.2.0/FIESTAutils/data/ref_popType.rda |binary FIESTAutils-1.2.0/FIESTAutils/data/ref_species.rda |binary FIESTAutils-1.2.0/FIESTAutils/data/ref_units.rda |only FIESTAutils-1.2.0/FIESTAutils/man/datExportData.Rd | 11 FIESTAutils-1.2.0/FIESTAutils/man/estimation_desc.Rd | 27 FIESTAutils-1.2.0/FIESTAutils/man/eval_options.Rd | 16 FIESTAutils-1.2.0/FIESTAutils/man/internal_desc.Rd | 80 + FIESTAutils-1.2.0/FIESTAutils/man/pcheck_desc.Rd | 2 FIESTAutils-1.2.0/FIESTAutils/man/ref_conversion.Rd | 6 FIESTAutils-1.2.0/FIESTAutils/man/ref_evaltyp.Rd |only FIESTAutils-1.2.0/FIESTAutils/man/ref_units.Rd |only 35 files changed, 1702 insertions(+), 481 deletions(-)
Title: Tidy Presentation of Clinical Reporting
Description: Streamlined statistical reporting in 'Rmarkdown' environments.
Facilitates the automated reporting of descriptive statistics, multiple
univariate models, multivariable models and tables combining these outputs.
Plotting functions include customisable survival curves, forest plots from
logistic and ordinal regression and bivariate comparison plots.
Author: Lisa Avery [cre, aut] ,
Ryan Del Bel [aut],
Osvaldo Espin-Garcia [aut],
Katherine Lajkosz [aut] ,
Tyler Pittman [aut] ,
Anna Santiago [aut] ,
Yanning Wang [ctr],
Jessica Weiss [aut],
Wei Xu [aut]
Maintainer: Lisa Avery <lisa.avery@uhn.ca>
Diff between reportRmd versions 0.0.2 dated 2023-01-13 and 0.1.0 dated 2023-11-16
reportRmd-0.0.2/reportRmd/inst/doc/reportRmd.pdf |only reportRmd-0.1.0/reportRmd/DESCRIPTION | 32 reportRmd-0.1.0/reportRmd/MD5 | 174 reportRmd-0.1.0/reportRmd/NAMESPACE | 18 reportRmd-0.1.0/reportRmd/NEWS.md | 27 reportRmd-0.1.0/reportRmd/R/globals.R | 17 reportRmd-0.1.0/reportRmd/R/helper.R | 45 reportRmd-0.1.0/reportRmd/R/lblCode.R |only reportRmd-0.1.0/reportRmd/R/main.R | 9946 ++-- reportRmd-0.1.0/reportRmd/README.md | 484 reportRmd-0.1.0/reportRmd/build/partial.rdb |only reportRmd-0.1.0/reportRmd/build/vignette.rds |binary reportRmd-0.1.0/reportRmd/inst/doc/reportRmd.R | 96 reportRmd-0.1.0/reportRmd/inst/doc/reportRmd.Rmd | 247 reportRmd-0.1.0/reportRmd/inst/doc/reportRmd.html |only reportRmd-0.1.0/reportRmd/man/addspace.Rd | 30 reportRmd-0.1.0/reportRmd/man/boxcoxfitRx.Rd | 56 reportRmd-0.1.0/reportRmd/man/clear_labels.Rd |only reportRmd-0.1.0/reportRmd/man/covsum.Rd | 22 reportRmd-0.1.0/reportRmd/man/crrRx.Rd | 76 reportRmd-0.1.0/reportRmd/man/ctDNA.Rd | 60 reportRmd-0.1.0/reportRmd/man/excelCol.Rd | 44 reportRmd-0.1.0/reportRmd/man/excelColLetters.Rd |only reportRmd-0.1.0/reportRmd/man/extract_labels.Rd |only reportRmd-0.1.0/reportRmd/man/figures/README-unnamed-chunk-6-1.png |binary reportRmd-0.1.0/reportRmd/man/figures/README-unnamed-chunk-7-1.png |binary reportRmd-0.1.0/reportRmd/man/figures/README-unnamed-chunk-8-1.png |binary reportRmd-0.1.0/reportRmd/man/figures/README-unnamed-chunk-9-1.png |binary reportRmd-0.1.0/reportRmd/man/forestplot2.Rd | 16 reportRmd-0.1.0/reportRmd/man/forestplotMV.Rd |only reportRmd-0.1.0/reportRmd/man/forestplotUV.Rd |only reportRmd-0.1.0/reportRmd/man/forestplotUVMV.Rd |only reportRmd-0.1.0/reportRmd/man/formatp.Rd | 32 reportRmd-0.1.0/reportRmd/man/geoR_boxcoxfit.Rd | 68 reportRmd-0.1.0/reportRmd/man/ggkmcif.Rd | 525 reportRmd-0.1.0/reportRmd/man/ggkmcif2.Rd |only reportRmd-0.1.0/reportRmd/man/ggkmcif2Parameters.Rd |only reportRmd-0.1.0/reportRmd/man/ggkmcif_paste.Rd | 59 reportRmd-0.1.0/reportRmd/man/hbld.Rd | 30 reportRmd-0.1.0/reportRmd/man/lbld.Rd | 30 reportRmd-0.1.0/reportRmd/man/lpvalue.Rd | 34 reportRmd-0.1.0/reportRmd/man/mvsum.Rd | 143 reportRmd-0.1.0/reportRmd/man/nestTable.Rd | 157 reportRmd-0.1.0/reportRmd/man/niceNum.Rd | 34 reportRmd-0.1.0/reportRmd/man/nicename.Rd | 38 reportRmd-0.1.0/reportRmd/man/outTable.Rd | 192 reportRmd-0.1.0/reportRmd/man/pembrolizumab.Rd | 80 reportRmd-0.1.0/reportRmd/man/plotuv.Rd | 12 reportRmd-0.1.0/reportRmd/man/psthr.Rd | 34 reportRmd-0.1.0/reportRmd/man/pstprn.Rd | 30 reportRmd-0.1.0/reportRmd/man/pvalue.Rd | 36 reportRmd-0.1.0/reportRmd/man/rm_cifsum.Rd |only reportRmd-0.1.0/reportRmd/man/rm_covsum.Rd | 27 reportRmd-0.1.0/reportRmd/man/rm_mvsum.Rd | 26 reportRmd-0.1.0/reportRmd/man/rm_survdiff.Rd | 154 reportRmd-0.1.0/reportRmd/man/rm_survsum.Rd | 25 reportRmd-0.1.0/reportRmd/man/rm_survtime.Rd | 222 reportRmd-0.1.0/reportRmd/man/rm_uv_mv.Rd | 162 reportRmd-0.1.0/reportRmd/man/rm_uvsum.Rd | 26 reportRmd-0.1.0/reportRmd/man/rmds.Rd | 30 reportRmd-0.1.0/reportRmd/man/sanitizestr.Rd | 34 reportRmd-0.1.0/reportRmd/man/set_labels.Rd |only reportRmd-0.1.0/reportRmd/man/set_var_labels.Rd |only reportRmd-0.1.0/reportRmd/man/testData.Rd | 62 reportRmd-0.1.0/reportRmd/man/uvsum.Rd | 225 reportRmd-0.1.0/reportRmd/tests/testthat/test_calculations.R | 554 reportRmd-0.1.0/reportRmd/vignettes/i1.png |only reportRmd-0.1.0/reportRmd/vignettes/i2.png |only reportRmd-0.1.0/reportRmd/vignettes/libs/anchor-sections-1.1.0/anchor-sections-hash.css | 4 reportRmd-0.1.0/reportRmd/vignettes/libs/anchor-sections-1.1.0/anchor-sections-icon.css | 16 reportRmd-0.1.0/reportRmd/vignettes/libs/anchor-sections-1.1.0/anchor-sections-symbol.css | 12 reportRmd-0.1.0/reportRmd/vignettes/libs/anchor-sections-1.1.0/anchor-sections.css | 8 reportRmd-0.1.0/reportRmd/vignettes/libs/anchor-sections-1.1.0/anchor-sections.js | 22 reportRmd-0.1.0/reportRmd/vignettes/libs/gitbook-2.6.7/css/plugin-bookdown.css | 210 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Title: Getting Bibliographic Records from 'OpenAlex' Database Using
'DSL' API
Description: A set of tools to extract bibliographic content from
'OpenAlex' database using API <https://docs.openalex.org>.
Author: Massimo Aria [aut, cre, cph] ,
Corrado Cuccurullo [ctb] ,
Trang Le [aut] ,
June Choe [ctb]
Maintainer: Massimo Aria <aria@unina.it>
Diff between openalexR versions 1.2.2 dated 2023-09-24 and 1.2.3 dated 2023-11-16
DESCRIPTION | 6 MD5 | 52 +++---- NEWS.md | 9 - R/oa2df.R | 53 +++---- R/oa_fetch.R | 76 +++++++--- R/oa_ngrams.R | 120 +++++++++------- R/oa_snowball.R | 41 ++++- R/openalexR-internal.R | 13 + R/utils.R | 23 +-- README.md | 274 +++++++++++++------------------------- man/authors2df.Rd | 9 + man/concepts2df.Rd | 9 + man/funders2df.Rd | 9 + man/institutions2df.Rd | 9 + man/oa_fetch.Rd | 20 ++ man/oa_ngrams.Rd | 4 man/oa_query.Rd | 10 - man/oa_request.Rd | 14 + man/oa_snowball.Rd | 16 +- man/publishers2df.Rd | 9 + man/sources2df.Rd | 9 + man/venues2df.Rd | 9 + man/works2df.Rd | 10 + tests/testthat/test-oa2df.R | 2 tests/testthat/test-oa_fetch.R | 79 ++++++++++ tests/testthat/test-oa_ngrams.R | 1 tests/testthat/test-oa_snowball.R | 4 27 files changed, 527 insertions(+), 363 deletions(-)
Title: Model-Assisted Survey Estimators
Description: A set of model-assisted survey estimators and corresponding
variance estimators for single stage, unequal probability, without replacement
sampling designs. All of the estimators can be written as a generalized
regression estimator with the Horvitz-Thompson, ratio, post-stratified, and
regression estimators summarized by Sarndal et al. (1992, ISBN:978-0-387-40620-6).
Two of the estimators employ a statistical learning model as the assisting model:
the elastic net regression estimator, which is an extension of the lasso regression
estimator given by McConville et al. (2017) <doi:10.1093/jssam/smw041>, and the
regression tree estimator described in McConville and Toth (2017) <arXiv:1712.05708>.
The variance estimators which approximate the joint inclusion probabilities can
be found in Berger and Tille (2009) <doi:10.1016/S0169-7161(08)00002-3> and the
bootstrap variance estimator is presented in Mashreghi et al. (2016)
<doi:10.1214/16-SS113>.
Author: Kelly McConville [cre, aut, cph],
Josh Yamamoto [aut],
Becky Tang [aut],
George Zhu [aut],
Sida Li [ctb],
Shirley Chueng [ctb],
Daniell Toth [ctb]
Maintainer: Kelly McConville <kmcconville@fas.harvard.edu>
Diff between mase versions 0.1.4 dated 2023-08-30 and 0.1.5 dated 2023-11-16
DESCRIPTION | 25 +++++++------ MD5 | 47 +++++++++++++------------ NAMESPACE | 3 + R/GREG.R | 51 ++++++++++++++------------- R/RcppExports.R |only R/gregElasticNet.R | 31 +++++++++------- R/gregTree.R | 29 +++++++++------ R/gregt.R | 17 +++++---- R/horvitzThompson.R | 28 ++++++++------ R/mase-package.R |only R/modifiedGreg.R | 4 +- R/postStrat.R | 33 ++++++++++------- R/ratio.R | 92 +++++++++++++++++++++++++------------------------ R/ratioEstimator.R | 28 ++++++++------ README.md | 25 +++++++++---- build/partial.rdb |binary man/greg.Rd | 21 ++++++----- man/gregElasticNet.Rd | 21 ++++++----- man/gregTree.Rd | 21 ++++++----- man/horvitzThompson.Rd | 20 +++++----- man/modifiedGreg.Rd | 4 +- man/postStrat.Rd | 22 ++++++----- man/ratio.Rd | 29 +++++++-------- man/ratioEstimator.Rd | 18 +++++---- src |only 25 files changed, 320 insertions(+), 249 deletions(-)
Title: Quickly Create Elegant Regression Results Tables and Plots when
Modelling
Description: Generate regression results tables and plots in final
format for publication. Explore models and export directly to PDF
and 'Word' using 'RMarkdown'.
Author: Ewen Harrison [aut, cre],
Tom Drake [aut],
Riinu Pius [aut]
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>
Diff between finalfit versions 1.0.6 dated 2023-01-14 and 1.0.7 dated 2023-11-16
DESCRIPTION | 12 - MD5 | 94 ++++---- NEWS.md | 10 R/boot_compare.R | 15 - R/boot_predict.R | 12 - R/ff_column_totals.R | 260 +++++++++++----------- R/ff_glimpse.R | 3 R/ff_merge.R | 6 R/finalfit.R | 3 R/finalfit_internal_functions.R | 4 R/finalfit_package.R | 6 R/fit2df.R | 4 R/hr_plot.R | 3 R/missing_compare.R | 10 R/or_plot.R | 3 R/summaryfactorlist.R | 4 README.md | 2 inst/doc/all_plots_examples.R | 6 inst/doc/all_plots_examples.Rmd | 6 inst/doc/all_plots_examples.html | 8 inst/doc/all_tables_examples.R | 252 +++++++++++----------- inst/doc/all_tables_examples.Rmd | 2 inst/doc/all_tables_examples.html | 432 ++++++++++++++++++++++++++++++-------- inst/doc/bootstrap.R | 6 inst/doc/bootstrap.Rmd | 2 inst/doc/bootstrap.html | 32 +- inst/doc/data_prep.html | 10 inst/doc/export.R | 24 +- inst/doc/export.html | 69 ++++-- inst/doc/finalfit.R | 26 +- inst/doc/missing.R | 18 - inst/doc/missing.Rmd | 2 inst/doc/missing.html | 19 - inst/doc/survival.R | 6 man/boot_compare.Rd | 5 man/boot_predict.Rd | 12 - man/ff_column_totals.Rd | 2 man/ff_merge.Rd | 1 man/fit2df.Rd | 4 man/hr_plot.Rd | 1 man/missing_compare.Rd | 15 + man/or_plot.Rd | 1 man/print.Rd | 2 man/wcgs.Rd | 6 vignettes/all_plots_examples.Rmd | 6 vignettes/all_tables_examples.Rmd | 2 vignettes/bootstrap.Rmd | 2 vignettes/missing.Rmd | 2 48 files changed, 884 insertions(+), 548 deletions(-)
Title: A Tidy Data Model for Natural Language Processing
Description: Provides a set of fast tools for converting a textual corpus into
a set of normalized tables. Users may make use of the 'udpipe' back end with
no external dependencies, or two Python back ends with 'spaCy'
<https://spacy.io> or 'CoreNLP' <https://stanfordnlp.github.io/CoreNLP/>.
Exposed annotation tasks include tokenization, part of speech tagging, named
entity recognition, and dependency parsing.
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <tarnold2@richmond.edu>
Diff between cleanNLP versions 3.0.4 dated 2022-08-15 and 3.0.7 dated 2023-11-16
DESCRIPTION | 9 MD5 | 20 - R/backend_stringi.R | 8 R/tools.R | 2 build/vignette.rds |binary inst/CITATION | 5 inst/doc/state-of-union.R | 14 - inst/doc/state-of-union.html | 579 +++++++++++++++++++++++++------------------ inst/doc/wikipedia.R | 2 inst/doc/wikipedia.html | 215 ++++++++------- man/cleanNLP-package.Rd | 4 11 files changed, 496 insertions(+), 362 deletions(-)
Title: A Fast 'WHATWG' Compliant URL Parser
Description: A wrapper for 'ada-url', a 'WHATWG' compliant and fast URL parser written in modern 'C++'. Also contains auxiliary functions such as a public suffix extractor.
Author: David Schoch [aut, cre] ,
Chung-hong Chan [aut] ,
Yagiz Nizipli [ctb, cph] ,
Daniel Lemire [ctb, cph]
Maintainer: David Schoch <david@schochastics.net>
Diff between adaR versions 0.3.0 dated 2023-10-16 and 0.3.1 dated 2023-11-16
DESCRIPTION | 11 - MD5 | 10 - NEWS.md | 5 README.md | 36 ++-- src/ada/ada.cpp | 504 +++++++++++++++++++++++++++++++++----------------------- src/ada/ada.h | 61 +++--- 6 files changed, 361 insertions(+), 266 deletions(-)
Title: Import, Process, Analyse, and Calculate Rates from Respirometry
Data
Description: Provides a structural, reproducible workflow for the
processing and analysis of respirometry data. It contains analytical
functions and utilities for working with oxygen time-series to determine
respiration or oxygen production rates, and to make it easier to report and
share analyses. See Harianto et al. 2019 <doi:10.1111/2041-210X.13162>.
Author: Nicholas Carey [aut, cre],
Januar Harianto [aut]
Maintainer: Nicholas Carey <nicholascarey@gmail.com>
Diff between respR versions 2.3.1 dated 2023-06-29 and 2.3.2 dated 2023-11-16
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS.md | 15 +++------------ R/auto_rate_funs.R | 28 ++++++++++++++-------------- R/inspect.R | 2 ++ README.md | 8 +++++++- man/inspect.Rd | 2 ++ man/time_roll.Rd | 6 +++--- man/validate_auto_rate.Rd | 4 ++-- tests/testthat/test-oxy_crit.R | 4 ++-- 10 files changed, 48 insertions(+), 47 deletions(-)
Title: Likelihood Based Inference for ARIMA Modeling
Description: Estimating and analyzing auto regressive integrated moving average
(ARIMA) models. The primary function in this package is arima(), which fits
an ARIMA model to univariate time series data using a random restart
algorithm. This approach frequently leads to models that have model
likelihood greater than or equal to that of the likelihood obtained by
fitting the same model using the arima() function from the 'stats' package.
This package enables proper optimization of model likelihoods, which is a
necessary condition for performing likelihood ratio tests. This package
relies heavily on the source code of the arima() function of the 'stats'
package. For more information, please see Jesse Wheeler and Edward L.
Ionides (2023) <arXiv:2310.01198>.
Author: Jesse Wheeler [aut, cre, cph],
Noel McAllister [aut],
Dhajanae Sylvertooth [aut],
Edward Ionides [ctb],
Brian Ripley [ctb] ,
R Core Team [cph]
Maintainer: Jesse Wheeler <jeswheel@umich.edu>
Diff between arima2 versions 3.0.1 dated 2023-10-05 and 3.1.0 dated 2023-11-16
DESCRIPTION | 6 +- MD5 | 24 ++++---- NEWS.md | 24 +++++++- R/aicTable.R | 60 +++++++++----------- R/arima.R | 92 +++++++++++++++++++++++++++++-- R/plot.R | 44 ++++++++++---- R/sample_ARMA_coef.R | 41 +++++++------ README.md | 4 + man/aicTable.Rd | 17 +---- man/arima.Rd | 20 ++++++ man/figures/README-PlotARMAresults-1.png |binary man/figures/README-PlotARMAresults-2.png |binary man/sample_ARMA_coef.Rd | 2 13 files changed, 235 insertions(+), 99 deletions(-)
Title: Boosting Method for High-Dimensional Error-Prone Data
Description: Implementation of the boosting procedure with the simulation and extrapolation approach to address variable selection and estimation for high-dimensional data subject to measurement error in predictors. It can be used to address generalized linear models (GLM) in Chen (2023) <doi: 10.1007/s11222-023-10209-3> and the accelerated failure time (AFT) model in Chen and Qiu (2023) <doi: 10.1111/biom.13898>. Some relevant references include Chen and Yi (2021) <doi:10.1111/biom.13331> and Hastie, Tibshirani, and Friedman (2008, ISBN:978-0387848570).
Author: Bangxu Qiu [aut, cre],
Li-Pang Chen [aut]
Maintainer: Bangxu Qiu <1135427976@qq.com>
Diff between SIMEXBoost versions 0.1.0 dated 2022-02-03 and 0.2.0 dated 2023-11-16
DESCRIPTION | 14 +-- MD5 | 12 +- R/Boost_VSE.R | 103 +++++++++++------------- R/SIMEXBoost.R | 194 +++++++++++++++++++++++----------------------- man/Boost_VSE.Rd | 20 +--- man/SIMEXBoost-package.Rd | 4 man/SIMEXBoost.Rd | 8 - 7 files changed, 170 insertions(+), 185 deletions(-)
Title: 'Shiny' App Usage Telemetry
Description: Enables instrumentation of 'Shiny' apps for tracking user
session events such as input changes, browser type, and session
duration. These events can be sent to any of the available storage
backends and analyzed using the included 'Shiny' app to gain insights
about app usage and adoption.
Author: Andre Verissimo [aut, cre],
Kamil Zyla [aut],
Krystian Igras [aut],
Recle Vibal [aut],
Appsilon Sp. z o.o. [cph]
Maintainer: Andre Verissimo <opensource+andre@appsilon.com>
Diff between shiny.telemetry versions 0.1.0 dated 2023-05-05 and 0.2.0 dated 2023-11-16
DESCRIPTION | 51 ++--- MD5 | 53 +++-- NAMESPACE | 1 NEWS.md |only R/auxiliary.R | 61 ++++++ R/data-storage-mariadb.R | 2 R/data-storage-mssqlserver.R |only R/data-storage-plumber.R | 6 R/data-storage-postgresql.R | 2 R/data-storage.R | 79 +++----- R/prepare-admin-panel.R | 32 +-- R/telemetry.R | 29 ++- README.md | 11 - inst/WORDLIST | 5 inst/examples/app/REAME.html |only inst/examples/app/REAME.md |only inst/examples/app/analytics/user_stats.txt |only inst/examples/app/instrumentation/user_stats.txt |only inst/examples/mssql |only man/DataStorage.Rd | 5 man/DataStorageMSSQLServer.Rd |only man/Telemetry.Rd | 6 tests/testthat/helper-data_storage.R | 204 ++++++++++++++++++----- tests/testthat/helper-init-data-storage.R |only tests/testthat/helper-mock-request.R | 2 tests/testthat/test-data-storage-mariadb.R |only tests/testthat/test-data-storage-mssqlserver.R |only tests/testthat/test-data-storage-postgresql.R |only tests/testthat/test-data_storage-logfile.R | 10 - tests/testthat/test-data_storage-sqlite.R | 9 - tests/testthat/test-helper-data_storage.R |only tests/testthat/test-telemetry.R | 2 tests/testthat/user_stats.txt |only 33 files changed, 377 insertions(+), 193 deletions(-)
More information about shiny.telemetry at CRAN
Permanent link
Title: Statistical Inference for Box-Cox Based Receiver Operating
Characteristic Curves
Description: Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018) <doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021) <doi:10.1002/bimj.202000128>) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.
Author: Leonidas Bantis [aut],
Benjamin Brewer [cre, ctb],
Christos Nakas [ctb],
Benjamin Reiser [ctb]
Maintainer: Benjamin Brewer <tennisbenj@gmail.com>
Diff between rocbc versions 1.1.0 dated 2023-04-03 and 2.0.0 dated 2023-11-16
DESCRIPTION | 6 MD5 | 20 + R/checkboxcox.R | 36 +++ R/checkboxcox2.R |only R/rocboxcox.R | 2 inst/doc/documentation_rocbc.R | 344 ++++++++++++++++++++++++++++++++ inst/doc/documentation_rocbc.Rmd | 405 +++++++++++++++++++++++++++++++++++++- inst/doc/documentation_rocbc.html | 118 ++++++++++- man/checkboxcox.Rd | 3 man/checkboxcox2.Rd |only man/rocboxcox.Rd | 2 vignettes/documentation_rocbc.Rmd | 405 +++++++++++++++++++++++++++++++++++++- 12 files changed, 1298 insertions(+), 43 deletions(-)
Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for analyses of multiple social networks are delivered with this
package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>. 'multiplex' makes
possible, among other things, to create and manipulate multiplex, multimode, and
multilevel network data with different formats. Effective ways are available to treat
multiple networks with routines that combine algebraic systems like the partially ordered
semigroup with decomposition procedures or semiring structures with the relational
bundles occurring in different types of multivariate networks. 'multiplex' provides also
an algebraic approach for affiliation networks through Galois derivations between families
of the pairs of subsets in the two domains of the network with visualization options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>
Diff between multiplex versions 3.1.0 dated 2023-07-11 and 3.1.1 dated 2023-11-16
DESCRIPTION | 10 ++--- MD5 | 20 +++++----- R/as.semigroup.R | 34 ++++-------------- R/edgel.R | 2 - R/green.rel.R | 50 +++----------------------- R/strings.R | 81 ++++++++++++++++++------------------------- R/transf.R | 16 ++++++-- build/vignette.rds |binary inst/CHANGELOG | 5 ++ inst/doc/TwoModeNetworks.pdf |binary man/multiplex-package.Rd | 4 +- 11 files changed, 86 insertions(+), 136 deletions(-)
Title: Tools for Analyzing Lactate Thresholds
Description: Set of tools for analyzing lactate thresholds from a step incremental test to exhaustion. Easily analyze
the methods Log-log, Onset of Blood Lactate Accumulation (OBLA), Baseline plus (Bsln+), Dmax, Lactate Turning Point (LTP),
and Lactate / Intensity ratio (LTratio) in cycling, running, or swimming.
Beaver WL, Wasserman K, Whipp BJ (1985) <doi:10.1152/jappl.1985.59.6.1936>.
Heck H, Mader A, Hess G, Mücke S, Müller R, Hollmann W (1985) <doi:10.1055/s-2008-1025824>.
Kindermann W, Simon G, Keul J (1979) <doi:10.1007/BF00421101>.
Skinner JS, Mclellan TH (1980) <doi:10.1080/02701367.1980.10609285>.
Berg A, Jakob E, Lehmann M, Dickhuth HH, Huber G, Keul J (1990) PMID 2408033.
Zoladz JA, Rademaker AC, Sargeant AJ (1995) <doi:10.1113/jphysiol.1995.sp020959>.
Cheng B, Kuipers H, Snyder A, Keizer H, Jeukendrup A, Hesselink M (1992) <doi:10.1055/s-2007-1021309>.
Bishop D, Jenkins DG, Mackinnon LT (1998) <doi:10.1097/00005768-199808000-00014>.
Hughson RL, [...truncated...]
Author: Felipe Mattioni Maturana [aut, cre]
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>
Diff between lactater versions 0.1.4 dated 2023-04-16 and 0.2.0 dated 2023-11-16
DESCRIPTION | 10 +- MD5 | 18 ++-- NAMESPACE | 1 NEWS.md | 4 + R/curve.R |only R/utils.R | 2 README.md | 152 ++++++++++++++++++++++++++++++++++++++++++ build/partial.rdb |binary man/add_external_resources.Rd | 2 man/lactate_curve.Rd |only man/lactater-package.Rd | 2 11 files changed, 175 insertions(+), 16 deletions(-)
Title: Gradient Projection Factor Rotation
Description: Gradient Projection Algorithms for Factor Rotation.
For details see ?GPArotation. When using this package, please cite:
Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507>.
"Gradient Projection Algorithms and Software
for Arbitrary Rotation Criteria in Factor Analysis".
Author: Coen Bernaards [aut, cre],
Paul Gilbert [aut],
Robert Jennrich [aut]
Maintainer: Coen Bernaards <cab.gparotation@gmail.com>
Diff between GPArotation versions 2023.8-1 dated 2023-08-21 and 2023.11-1 dated 2023-11-16
DESCRIPTION | 6 ++--- MD5 | 11 +++++---- NEWS | 4 +++ R/NormalizingWeight.R | 49 ++++++++++++++++++++++++++++++++++---------- inst/doc/GPAguide.pdf |binary inst/doc/GPArotateDF.pdf |binary tests/KaiserNormalization.R |only 7 files changed, 51 insertions(+), 19 deletions(-)
Title: A Toolbox for Clinical Significance Analyses in Intervention
Studies
Description: A clinical significance analysis can be used to determine if an
intervention has a meaningful or practical effect for patients. You provide
a tidy data set plus a few more metrics and this package will take care of
it to make your results publication ready.
Author: Benedikt Claus [aut, cre]
Maintainer: Benedikt Claus <b.claus@pedscience.de>
Diff between clinicalsignificance versions 1.2.0 dated 2022-12-08 and 2.0.0 dated 2023-11-16
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More information about clinicalsignificance at CRAN
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Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language
development platform for in-memory data. It specifies a standardized
language-independent columnar memory format for flat and hierarchical data,
organized for efficient analytic operations on modern hardware. This
package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut],
Ian Cook [aut],
Nic Crane [aut, cre],
Dewey Dunnington [aut] ,
Romain Francois [aut] ,
Jonathan Keane [aut],
Dragoș Moldovan-Gruenfeld [aut],
Jeroen Ooms [aut],
Jacob Wujciak-Jens [aut],
Javier Luraschi [ctb],
Karl Dunkle Werner [...truncated...]
Maintainer: Nic Crane <thisisnic@gmail.com>
Diff between arrow versions 13.0.0.1 dated 2023-09-22 and 14.0.0 dated 2023-11-16
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Title: Trend of High-Dimensional Time Series Matrix Estimation
Description: Matrix factorization for multivariate time series with both low rank and temporal structures. The procedure is the one proposed by Alquier, P. and Marie, N. Matrix factorization for multivariate time series analysis. Electronic journal of statistics, 13(2), 4346-4366 (2019).
Author: Emilie Lebarbier [aut, cre], Nicolas Marie [aut], Amelie Rosier [aut, cre].
Maintainer: Emilie Lebarbier <emilie.lebarbier@parisnanterre.fr>
Diff between TrendTM versions 2.0.14 dated 2022-06-30 and 2.0.19 dated 2023-11-16
TrendTM-2.0.14/TrendTM/data/DataX.RData |only TrendTM-2.0.14/TrendTM/man/DataX.Rd |only TrendTM-2.0.19/TrendTM/DESCRIPTION | 10 TrendTM-2.0.19/TrendTM/MD5 | 16 - TrendTM-2.0.19/TrendTM/NAMESPACE | 2 TrendTM-2.0.19/TrendTM/R/FM_kt.R |only TrendTM-2.0.19/TrendTM/R/OurSlope.R |only TrendTM-2.0.19/TrendTM/R/TrendTM.R | 304 +++++++++----------------- TrendTM-2.0.19/TrendTM/data/Data_Series.RData |only TrendTM-2.0.19/TrendTM/man/Data_Series.Rd |only TrendTM-2.0.19/TrendTM/man/FM_kt.Rd |only TrendTM-2.0.19/TrendTM/man/OurSlope.Rd |only TrendTM-2.0.19/TrendTM/man/TrendTM.Rd | 47 +--- 13 files changed, 151 insertions(+), 228 deletions(-)
Title: 'RStudio' Addin for Network Analysis and Visualization
Description: 'RStudio' addin which provides a GUI to visualize and analyse networks.
After finishing a session, the code to produce the plot is inserted in the current script.
Alternatively, the function SNAhelperGadget() can be used directly from the console.
Additional addins include the Netreader() for reading network files, Netbuilder() to create
small networks via point and click, and the Componentlayouter() to layout networks with many components manually.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>
Diff between snahelper versions 1.4.1 dated 2022-09-21 and 1.4.2 dated 2023-11-16
DESCRIPTION | 9 MD5 | 16 NEWS.md | 4 R/Componentlayouter.R | 511 ++++++------ R/Netbuilder.R | 333 ++++---- R/Netreader.R | 613 +++++++------- R/SNAhelper.R | 2047 +++++++++++++++++++++++++++----------------------- R/constants.R | 64 - R/helper.R | 94 +- 9 files changed, 1992 insertions(+), 1699 deletions(-)
Title: Weighted Metrics and Performance Measures for Machine Learning
Description: Provides weighted versions of several metrics and performance
measures used in machine learning, including average unit deviances of
the Bernoulli, Tweedie, Poisson, and Gamma distributions, see
Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains
a weighted version of generalized R-squared, see e.g. Cohen, J. et al.
(2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are
supported.
Author: Michael Mayer [aut, cre],
Christian Lorentzen [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Diff between MetricsWeighted versions 1.0.2 dated 2023-06-05 and 1.0.3 dated 2023-11-16
DESCRIPTION | 6 MD5 | 18 +- NEWS.md | 6 R/classification.R | 30 +++- R/regression.R | 9 - inst/doc/MetricsWeighted.html | 244 ++++++++++++++++++------------------ man/classification.Rd | 4 man/regression.Rd | 2 tests/testthat/test-deviance.R | 12 + tests/testthat/test-probabilities.R | 19 ++ 10 files changed, 195 insertions(+), 155 deletions(-)
More information about MetricsWeighted at CRAN
Permanent link
Title: Multiple Aggregation Prediction Algorithm
Description: Functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure. For details see Kourentzes et al. (2014) <doi:10.1016/j.ijforecast.2013.09.006>.
Author: Nikolaos Kourentzes [aut, cre],
Fotios Petropoulos [aut]
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>
Diff between MAPA versions 2.0.5 dated 2022-07-10 and 2.0.6 dated 2023-11-16
DESCRIPTION | 8 +++---- MD5 | 14 ++++++------- NAMESPACE | 2 - NEWS.md | 5 +++- R/mapa.estim.R | 49 ++++++++++++++++++++++++---------------------- R/mapa.forecast.R | 57 +++++++++++++++++++++++++++++++++--------------------- man/mapa.Rd | 2 - man/mapafor.Rd | 2 - 8 files changed, 79 insertions(+), 60 deletions(-)
Title: Using the Theory of Belief Functions
Description: Using the Theory of Belief Functions for evidence calculus. Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values and combined. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.
Author: Claude Boivin <webapp.cb@gmail.com>
Maintainer: Claude Boivin <webapp.cb@gmail.com>
Diff between dst versions 1.5.1 dated 2022-01-03 and 1.5.2 dated 2023-11-16
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Title: Automated and Early Detection of Seasonal Epidemic Onset
Description: A powerful tool for automating the early detection of seasonal epidemic
onsets in time series data. It offers the ability to estimate growth rates
for consecutive time intervals and calculate the sum of cases (SoC) within
those intervals. It is particularly useful for epidemiologists, public
health professionals, and researchers seeking to identify and respond to
seasonal epidemics in a timely fashion.
For reference on growth rate estimation, see Walling and Lipstich (2007)
<doi:10.1098/rspb.2006.3754> and Obadia et al. (2012) <doi:10.1186/1472-6947-12-147>.
Author: Kasper Schou Telkamp [aut, cre]
,
Lasse Engbo Christiansen [aut]
,
Statens Serum Institut, SSI [cph, fnd]
Maintainer: Kasper Schou Telkamp <ksst@ssi.dk>
Diff between aedseo versions 0.1.0 dated 2023-11-07 and 0.1.1 dated 2023-11-16
DESCRIPTION | 10 + LICENSE | 4 MD5 | 27 ++- NAMESPACE | 2 NEWS.md | 36 ++--- R/autoplot.R | 208 +++++++++++++++++------------ R/epi_calendar.R |only README.md | 14 -- inst/doc/aedseo_introduction.R | 71 +--------- inst/doc/aedseo_introduction.Rmd | 114 ++++++---------- inst/doc/aedseo_introduction.html | 257 ++++++++++++++++--------------------- man/aedseo-package.Rd | 5 man/autoplot.Rd | 11 + man/epi_calendar.Rd |only tests/testthat/test-epi_calendar.R |only vignettes/aedseo_introduction.Rmd | 114 ++++++---------- 16 files changed, 400 insertions(+), 473 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-09-05 0.7.1
2022-08-18 0.7.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-08-22 1.0.1
2022-01-15 1.0
2015-09-17 0.9-11
2014-05-03 0.9-10
2013-06-03 0.9-9
2013-03-02 0.9-8
2013-02-18 0.9-7
2013-02-15 0.9-6
2012-05-22 0.9-2
2012-02-19 0.9-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-11-18 1.0.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-09-03 1.2.0
2021-11-30 1.1.2
2020-09-17 1.1.1
2020-09-07 1.1.0
2019-03-22 1.0.1