Title: Lyrics and Song Data for Taylor Swift's Discography
Description: A comprehensive resource for data on Taylor Swift songs. Data is
included for all officially released studio albums, extended plays (EPs),
and individual singles are included. Data comes from
'Genius' (lyrics) and 'Spotify' (song characteristics). Additional functions
are included for easily creating data visualizations with color palettes
inspired by Taylor Swift's album covers.
Author: W. Jake Thompson [aut, cre, cph]
(<https://orcid.org/0000-0001-7339-0300>)
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>
Diff between taylor versions 0.2.0 dated 2021-08-17 and 0.2.1 dated 2021-09-23
taylor-0.2.0/taylor/man/taylor.Rd |only taylor-0.2.1/taylor/DESCRIPTION | 6 +- taylor-0.2.1/taylor/MD5 | 22 ++++---- taylor-0.2.1/taylor/NAMESPACE | 1 taylor-0.2.1/taylor/NEWS.md |only taylor-0.2.1/taylor/R/data-checks.R | 11 ++-- taylor-0.2.1/taylor/R/taylor-package.R | 2 taylor-0.2.1/taylor/README.md | 26 ++++++---- taylor-0.2.1/taylor/data/taylor_all_songs.rda |binary taylor-0.2.1/taylor/inst/WORDLIST | 2 taylor-0.2.1/taylor/man/scale_albums.Rd | 6 -- taylor-0.2.1/taylor/man/taylor_all_songs.Rd | 2 taylor-0.2.1/taylor/tests/testthat/test-taylor-album-palettes.R | 6 +- 13 files changed, 49 insertions(+), 35 deletions(-)
Title: Regression Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Author: Oldemar Rodriguez R. [aut, cre],
Andres Navarro D. [ctb, prg],
Diego Jimenez A. [ctb, prg],
Ariel Arroyo S. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>
Diff between regressoR versions 1.2.1 dated 2021-04-06 and 2.0.0 dated 2021-09-23
regressoR-1.2.1/regressoR/R/code_generate.R |only regressoR-1.2.1/regressoR/R/init_regressor.R |only regressoR-1.2.1/regressoR/R/plots_manipulation.R |only regressoR-1.2.1/regressoR/R/report_manipulation.R |only regressoR-1.2.1/regressoR/R/shiny_tools.R |only regressoR-1.2.1/regressoR/README.md |only regressoR-1.2.1/regressoR/inst/application |only regressoR-1.2.1/regressoR/inst/extdata |only regressoR-1.2.1/regressoR/man/categorical_distribution.Rd |only regressoR-1.2.1/regressoR/man/categorical_summary.Rd |only regressoR-1.2.1/regressoR/man/chunk.Rd |only regressoR-1.2.1/regressoR/man/clean_report.Rd |only regressoR-1.2.1/regressoR/man/code_NA.Rd |only regressoR-1.2.1/regressoR/man/code_deactivate.Rd |only regressoR-1.2.1/regressoR/man/code_field.Rd |only regressoR-1.2.1/regressoR/man/code_load.Rd |only regressoR-1.2.1/regressoR/man/code_summary.Rd |only regressoR-1.2.1/regressoR/man/code_transf.Rd |only regressoR-1.2.1/regressoR/man/colnames_empty.Rd |only 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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 0.4.0 dated 2021-06-22 and 0.5.0 dated 2021-09-23
DESCRIPTION | 11 ++++---- MD5 | 20 ++++++++------ NAMESPACE | 1 NEWS.md | 4 ++ R/journey.R | 14 +++++++++- R/ltn.R |only README.md | 42 +++++++++++++++++++++++++------ man/figures/README-example-1.png |binary man/figures/README-unnamed-chunk-2-1.png |binary man/figures/README-unnamed-chunk-3-1.png |only man/figures/README-unnamed-chunk-4-1.png |only man/journey.Rd | 14 +++++++++- man/ltns.Rd |only 13 files changed, 84 insertions(+), 22 deletions(-)
Title: Retrieving Soil Data from POLARIS
Description: The POLARIS database <http://hydrology.cee.duke.edu/POLARIS/>
is a 30-meter probabilistic soil series map of the contiguous United
States (US). It represents an optimization of the Soil Survey
Geographic database. This R package facilitates the access
to large amounts of soil data within the US, currently
stored online as raster images (TIFF).
Author: Luiz Moro Rosso [cre],
Andre Borja Reis [aut],
Adrian Correndo [aut],
Ignacio Ciampitti [aut]
Maintainer: Luiz Moro Rosso <lhmrosso@ksu.edu>
Diff between XPolaris versions 1.0.1 dated 2021-06-17 and 1.0.2 dated 2021-09-23
DESCRIPTION | 11 ++++++----- MD5 | 13 +++++++------ NAMESPACE | 6 ++++++ NEWS.md | 4 ++++ R/ximages.R | 50 ++++++++++++++++++++++++++++++++++++++++++++------ R/xsoil.R | 41 ++++++++++++++++++++++++++++++----------- README.md | 11 ++++++++++- inst |only 8 files changed, 107 insertions(+), 29 deletions(-)
Title: Generator of Semi-Artificial Data
Description: Contains methods to generate and evaluate semi-artificial data sets.
Based on a given data set different methods learn data properties using machine learning algorithms and
generate new data with the same properties.
The package currently includes the following data generators:
i) a RBF network based generator using rbfDDA() from package 'RSNNS',
ii) a Random Forest based generator for both classification and regression problems
iii) a density forest based generator for unsupervised data
Data evaluation support tools include:
a) single attribute based statistical evaluation: mean, median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test, Hellinger distance
b) evaluation based on clustering using Adjusted Rand Index (ARI) and FM
c) evaluation based on classification performance with various learning models, e.g., random forests.
Author: Marko Robnik-Sikonja
Maintainer: Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>
Diff between semiArtificial versions 2.3.1 dated 2019-05-31 and 2.4.1 dated 2021-09-23
ChangeLog | 2 DESCRIPTION | 8 - MD5 | 16 +-- NAMESPACE | 1 R/dataQuality.R | 22 ++-- R/forestDataGen.R | 208 +++++++++++++++++++++++++++++++++++++++++- R/rbfDataGen.R | 4 man/newdata.Rd | 9 + man/semiArtificial-package.Rd | 2 9 files changed, 240 insertions(+), 32 deletions(-)
More information about semiArtificial at CRAN
Permanent link
Title: Load US Census Boundary and Attribute Data as 'tidyverse' and
'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau
APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's
geographic boundary files. Allows R users to return Census and ACS data as
tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping
and spatial analysis.
Author: Kyle Walker [aut, cre],
Matt Herman [aut],
Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>
Diff between tidycensus versions 1.0 dated 2021-05-19 and 1.1 dated 2021-09-23
DESCRIPTION | 21 ++-- MD5 | 34 +++---- NAMESPACE | 3 NEWS.md | 5 + R/acs.R | 92 ++++++++++++------- R/census.R | 74 ++++++++++++--- R/flows.R | 24 ++--- R/helpers.R | 33 ++++++ R/load_data.R | 235 ++++++++++++++++++++++++++----------------------- R/pums.R | 33 +++++- R/search_variables.R | 2 R/tidycensus-package.R | 2 R/zzz.r | 2 README.md | 2 data/mig_recodes.rda |binary man/get_acs.Rd | 4 man/get_decennial.Rd | 4 man/get_flows.Rd | 24 ++--- 18 files changed, 374 insertions(+), 220 deletions(-)
Title: Display User Feedback in Shiny Apps
Description: Easily display user feedback in Shiny apps.
Author: Andy Merlino [aut, cre],
Patrick Howard [aut]
Maintainer: Andy Merlino <andy.merlino@tychobra.com>
Diff between shinyFeedback versions 0.3.0 dated 2020-09-22 and 0.4.0 dated 2021-09-23
DESCRIPTION | 13 MD5 | 38 +- NAMESPACE | 1 NEWS.md | 8 R/dependencies.R | 13 R/loadingButton.R | 5 R/useShinyFeedback.R | 3 R/valueBoxModule.R | 22 + README.md | 4 build/vignette.rds |binary inst/assets/css/shinyfeedback.css | 9 inst/assets/js/loadingbutton.js | 14 inst/assets/js/shinyfeedback.js | 3 inst/doc/loading-button-and-toast.html | 526 +++++++++++---------------------- inst/doc/shinyFeedback-intro.Rmd | 4 inst/doc/shinyFeedback-intro.html | 438 ++++++++------------------- inst/doc/valueBoxModule.html | 316 ++++--------------- man/valueBoxModule.Rd | 5 man/valueBoxModuleUI.Rd | 3 vignettes/shinyFeedback-intro.Rmd | 4 20 files changed, 492 insertions(+), 937 deletions(-)
Title: BoardGameGeek's Board Game Data Analysis Tools
Description: Tools for analysing board game data. Mainly focused on providing
an interface for BoardGameGeek's XML API2 through R6 class system objects.
More details about the BoardGameGeek's API can be obtained here
<https://boardgamegeek.com/wiki/page/BGG_XML_API2>.
Author: Jakub Bujnowicz [aut, cre]
Maintainer: Jakub Bujnowicz <bujnowiczgithub@gmail.com>
Diff between bggAnalytics versions 0.1.1 dated 2020-10-22 and 0.2.0 dated 2021-09-23
bggAnalytics-0.1.1/bggAnalytics/R/assertions.R |only bggAnalytics-0.1.1/bggAnalytics/man/assertion_messages.Rd |only bggAnalytics-0.1.1/bggAnalytics/man/assertions.Rd |only bggAnalytics-0.1.1/bggAnalytics/man/fetches.Rd |only bggAnalytics-0.2.0/bggAnalytics/DESCRIPTION | 20 - bggAnalytics-0.2.0/bggAnalytics/MD5 | 47 +-- bggAnalytics-0.2.0/bggAnalytics/NAMESPACE | 41 +-- bggAnalytics-0.2.0/bggAnalytics/NEWS.md | 9 bggAnalytics-0.2.0/bggAnalytics/R/bggAPI.R | 73 ++++- bggAnalytics-0.2.0/bggAnalytics/R/bggCollection.R | 14 - bggAnalytics-0.2.0/bggAnalytics/R/bggGames.R | 17 - bggAnalytics-0.2.0/bggAnalytics/R/bggSearch.R | 10 bggAnalytics-0.2.0/bggAnalytics/R/bgg_tools.R | 21 - bggAnalytics-0.2.0/bggAnalytics/R/class_utils.R | 85 ------ bggAnalytics-0.2.0/bggAnalytics/R/custom_fetches.R | 162 ++++++++---- bggAnalytics-0.2.0/bggAnalytics/R/h_index.R | 4 bggAnalytics-0.2.0/bggAnalytics/R/html_utils.R | 64 ++-- bggAnalytics-0.2.0/bggAnalytics/R/params_utils.R | 53 +-- bggAnalytics-0.2.0/bggAnalytics/R/postprocessing.R |only bggAnalytics-0.2.0/bggAnalytics/R/squeeze.R | 38 +- bggAnalytics-0.2.0/bggAnalytics/R/sysdata.rda |binary bggAnalytics-0.2.0/bggAnalytics/R/utils.R | 52 +++ bggAnalytics-0.2.0/bggAnalytics/R/zzz.R | 3 bggAnalytics-0.2.0/bggAnalytics/data/bgg_variables.rda |binary bggAnalytics-0.2.0/bggAnalytics/man/custom_fetches.Rd | 10 bggAnalytics-0.2.0/bggAnalytics/man/dot-internal_fun.Rd |only bggAnalytics-0.2.0/bggAnalytics/man/dot-split_acc2list.Rd |only bggAnalytics-0.2.0/bggAnalytics/man/extraction_functions.Rd | 3 28 files changed, 404 insertions(+), 322 deletions(-)
Title: Lake Morphometry Metrics
Description: Lake morphometry metrics are used by limnologists to understand,
among other things, the ecological processes in a lake. Traditionally, these
metrics are calculated by hand, with planimeters, and increasingly with
commercial GIS products. All of these methods work; however, they are either
outdated, difficult to reproduce, or require expensive licenses to use. The
'lakemorpho' package provides the tools to calculate a typical suite
of these metrics from an input elevation model and lake polygon. The metrics
currently supported are: fetch, major axis, minor axis, major/minor axis
ratio, maximum length, maximum width, mean width, maximum depth, mean depth,
shoreline development, shoreline length, surface area, and volume.
Author: Jeffrey W. Hollister [aut, cre]
(<https://orcid.org/0000-0002-9254-9740>),
Jemma Stachelek [aut] (<https://orcid.org/0000-0002-5924-2464>)
Maintainer: Jeffrey W. Hollister <hollister.jeff@epa.gov>
Diff between lakemorpho versions 1.1.1 dated 2018-02-11 and 1.2.0 dated 2021-09-23
DESCRIPTION | 28 ++-- MD5 | 91 +++++++------ NAMESPACE | 70 +++++----- R/calcLakeMetrics.R | 133 +++++++++++--------- R/lakeFetch.R | 264 ++++++++++++++++++++-------------------- R/lakeMajorAxisLength.R | 130 +++++++++---------- R/lakeMaxDepth.R | 108 ++++++++-------- R/lakeMaxLength.R | 150 +++++++++++----------- R/lakeMaxWidth.R | 256 +++++++++++++++++++------------------- R/lakeMeanDepth.R | 75 ++++++----- R/lakeMeanWidth.R | 60 ++++----- R/lakeMinorAxisLength.R | 122 +++++++++--------- R/lakeMinorMajorAxisRatio.R | 82 ++++++------ R/lakeMorphoClass.R | 50 +++---- R/lakeShorelineDevelopment.R | 54 ++++---- R/lakeShorelineLength.R | 52 +++---- R/lakeSurfaceArea.R | 50 +++---- R/lakeSurroundTopo.R | 191 ++++++++++++++-------------- R/lakeVolume.R | 118 ++++++++++------- R/lakemorpho.R | 6 R/lakes.R | 2 R/plot.lakemorpho.R | 82 ++++++------ R/zzz.r |only README.md | 101 +++++++-------- build |only data/lakes.RData |binary inst |only man/calcLakeMetrics.Rd | 131 ++++++++++--------- man/exampleElev.Rd | 26 ++- man/exampleLake.Rd | 30 ++-- man/inputLM.Rd | 26 ++- man/lakeFetch.Rd | 74 +++++------ man/lakeMajorAxisLength.Rd | 68 +++++----- man/lakeMaxDepth.Rd | 88 ++++++------- man/lakeMaxLength.Rd | 94 +++++++------- man/lakeMaxWidth.Rd | 92 ++++++------- man/lakeMeanDepth.Rd | 73 ++++++----- man/lakeMeanWidth.Rd | 64 ++++----- man/lakeMinorAxisLength.Rd | 64 ++++----- man/lakeMinorMajorRatio.Rd | 62 ++++----- man/lakeMorphoClass.Rd | 69 +++++----- man/lakeShorelineDevelopment.Rd | 60 ++++----- man/lakeShorelineLength.Rd | 58 ++++---- man/lakeSurfaceArea.Rd | 58 ++++---- man/lakeSurroundTopo.Rd | 99 +++++++-------- man/lakeVolume.Rd | 103 +++++++++------ man/lakemorpho.Rd | 64 ++++----- man/plot.lakeMorpho.Rd | 59 ++++---- 48 files changed, 1929 insertions(+), 1808 deletions(-)
Title: Unnest Hierarchical Data Structures
Description: Fast flattening of hierarchical data structures (e.g. JSON, XML)
into data.frames with a flexible spec language.
Author: Vitalie Spinu [aut, cre]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>
Diff between unnest versions 0.0.2 dated 2020-09-22 and 0.0.3 dated 2021-09-23
DESCRIPTION | 11 +-- MD5 | 41 ++++++------ NEWS.md | 8 ++ R/unnest.R | 136 ++++++++++++++++++++++++++--------------- README.md | 4 - inst/doc/tidyr.Rmd | 4 - inst/doc/tidyr.html | 96 +++++++++++++++++----------- man/spec.Rd |only man/unnest.Rd | 129 +++++++++++--------------------------- src/Node.h | 4 - src/Spec.cpp | 46 ++++++++++--- src/Spec.h | 5 - src/common.h | 9 +- src/init.c | 6 + src/unnest.cpp | 41 +++++++++--- src/unnest.h | 125 ++++++++++++++++++++++++++----------- src/utils.cpp | 2 tests/testthat/helper-init.R | 4 + tests/testthat/test-misc.R | 80 ++++++++++++++++++++++++ tests/testthat/test-process.R | 63 +++++++++++++++--- tests/testthat/test-stacking.R | 37 +++++++++++ vignettes/tidyr.Rmd | 4 - 22 files changed, 561 insertions(+), 294 deletions(-)
Title: Non-Invasive Pretty Printing of R Code
Description: Pretty-prints R code without changing the user's formatting
intent.
Author: Kirill Müller [aut],
Lorenz Walthert [cre, aut]
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>
Diff between styler versions 1.6.1 dated 2021-09-17 and 1.6.2 dated 2021-09-23
styler-1.6.1/styler/man/remind_removing_old_cache.Rd |only styler-1.6.2/styler/DESCRIPTION | 6 - styler-1.6.2/styler/MD5 | 17 ++--- styler-1.6.2/styler/NEWS.md | 4 + styler-1.6.2/styler/R/nest.R | 2 styler-1.6.2/styler/R/utils-cache.R | 2 styler-1.6.2/styler/R/zzz.R | 63 ++++++------------- styler-1.6.2/styler/inst/doc/customizing_styler.html | 6 - styler-1.6.2/styler/man/cache_more_specs.Rd | 2 styler-1.6.2/styler/man/find_pos_id_to_keep.Rd | 2 10 files changed, 42 insertions(+), 62 deletions(-)
Title: Supplementary Item Response Theory Models
Description: Supplementary functions for item response models aiming
to complement existing R packages. The functionality includes among others
multidimensional compensatory and noncompensatory IRT models
(Reckase, 2009, <doi:10.1007/978-0-387-89976-3>),
MCMC for hierarchical IRT models and testlet models
(Fox, 2010, <doi:10.1007/978-1-4419-0742-4>),
NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>),
Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>;
Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>),
faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011,
<doi:10.1111/j.1745-3984.2011.00143.x>),
ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>),
DETECT statistic (Stout, Habing, Douglas & Kim, 1996,
<doi:10.1177/014662169602000403>), local structural equation modeling
(LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016,
<doi:10.1080/00273171.2016.1142856>).
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between sirt versions 3.9-4 dated 2020-02-17 and 3.10-118 dated 2021-09-23
sirt-3.10-118/sirt/DESCRIPTION | 8 sirt-3.10-118/sirt/MD5 | 357 +++++----- sirt-3.10-118/sirt/NAMESPACE | 13 sirt-3.10-118/sirt/R/IRT.expectedCounts_sirt.R | 24 sirt-3.10-118/sirt/R/L0_polish.R | 6 sirt-3.10-118/sirt/R/RcppExports.R | 70 + sirt-3.10-118/sirt/R/btm.R | 77 +- sirt-3.10-118/sirt/R/btm_fit_statistics.R | 12 sirt-3.10-118/sirt/R/ccov.np.R | 37 - sirt-3.10-118/sirt/R/ccov_np_compute_ccov_sum_score.R |only sirt-3.10-118/sirt/R/ccov_np_regression.R | 2 sirt-3.10-118/sirt/R/conf.detect.R | 31 sirt-3.10-118/sirt/R/create.ccov.R | 4 sirt-3.10-118/sirt/R/data.prep.R | 158 +--- sirt-3.10-118/sirt/R/detect.index.R | 4 sirt-3.10-118/sirt/R/dexppow.R |only sirt-3.10-118/sirt/R/dif.strata.variance.R |only sirt-3.10-118/sirt/R/dif.variance.R | 80 -- sirt-3.10-118/sirt/R/expl.detect.R | 39 - sirt-3.10-118/sirt/R/fuzcluster.R | 41 - sirt-3.10-118/sirt/R/fuzcluster_estimate.R |only sirt-3.10-118/sirt/R/fuzdiscr.R | 18 sirt-3.10-118/sirt/R/gom.em.R | 2 sirt-3.10-118/sirt/R/invariance.alignment.R | 75 +- sirt-3.10-118/sirt/R/invariance_alignment_process_parameters.R |only sirt-3.10-118/sirt/R/invariance_alignment_summary_optimization.R | 4 sirt-3.10-118/sirt/R/linking.haberman.R | 5 sirt-3.10-118/sirt/R/linking.haberman.lq.R |only sirt-3.10-118/sirt/R/linking.haebara.R | 46 + sirt-3.10-118/sirt/R/linking_haberman_itempars_convert.R |only sirt-3.10-118/sirt/R/linking_haberman_itempars_convert_process_matrices.R |only sirt-3.10-118/sirt/R/linking_haebara_gradient_function_R.R | 9 sirt-3.10-118/sirt/R/linking_haebara_optim_function_R.R | 12 sirt-3.10-118/sirt/R/lq_fit.R |only sirt-3.10-118/sirt/R/lq_fit_estimate_power.R |only sirt-3.10-118/sirt/R/lsem.bootstrap.R | 31 sirt-3.10-118/sirt/R/lsem.estimate.R | 4 sirt-3.10-118/sirt/R/lsem.permutationTest.R | 6 sirt-3.10-118/sirt/R/lsem_bootstrap_draw_bootstrap_sample.R | 31 sirt-3.10-118/sirt/R/lsem_bootstrap_inference.R | 11 sirt-3.10-118/sirt/R/lsem_bootstrap_postproc_output.R | 9 sirt-3.10-118/sirt/R/lsem_fitsem.R | 3 sirt-3.10-118/sirt/R/lsem_local_weights.R | 2 sirt-3.10-118/sirt/R/lsem_residualize.R | 8 sirt-3.10-118/sirt/R/mle.rasch.R |only sirt-3.10-118/sirt/R/mml_calc_like.R | 5 sirt-3.10-118/sirt/R/mml_raschtype_counts.R | 2 sirt-3.10-118/sirt/R/modelfit.sirt.R | 4 sirt-3.10-118/sirt/R/penalty_D1_abs.R |only sirt-3.10-118/sirt/R/penalty_D1_mcp.R |only sirt-3.10-118/sirt/R/penalty_D1_scad.R |only sirt-3.10-118/sirt/R/predict.btm.R |only sirt-3.10-118/sirt/R/predict_scale_group_means.R |only sirt-3.10-118/sirt/R/rasch.copula2.R | 136 +-- sirt-3.10-118/sirt/R/rasch.jml.R | 78 -- sirt-3.10-118/sirt/R/rasch.mml.raschtype.R | 64 - sirt-3.10-118/sirt/R/rasch.mml2.R | 334 +++++---- sirt-3.10-118/sirt/R/rasch.pairwise.R | 101 +- sirt-3.10-118/sirt/R/rasch.pairwise.itemcluster.R | 22 sirt-3.10-118/sirt/R/rasch_mml2_calcprob_missing1.R |only sirt-3.10-118/sirt/R/rasch_mml2_create_theta_k.R |only sirt-3.10-118/sirt/R/rasch_mml2_estep_missing1.R |only sirt-3.10-118/sirt/R/rasch_mml2_estep_raschtype.R | 11 sirt-3.10-118/sirt/R/rasch_mml2_estep_raschtype_mirt.R |only sirt-3.10-118/sirt/R/rasch_mml2_impute_data.R |only sirt-3.10-118/sirt/R/rasch_mml2_mstep_missing1.R |only sirt-3.10-118/sirt/R/rasch_mml2_mstep_one_step.R |only sirt-3.10-118/sirt/R/rasch_mml2_numdiff_index.R |only sirt-3.10-118/sirt/R/rasch_mml2_rmsd.R |only sirt-3.10-118/sirt/R/rasch_pairwise_compute_eps.R |only sirt-3.10-118/sirt/R/rasch_pairwise_iterations.R |only sirt-3.10-118/sirt/R/rasch_pairwise_optimize.R |only sirt-3.10-118/sirt/R/rasch_pairwise_optimize_opt_fun_terms.R |only sirt-3.10-118/sirt/R/rasch_pairwise_optimize_opt_fun_terms2.R |only sirt-3.10-118/sirt/R/rasch_pairwise_zerosum.R |only sirt-3.10-118/sirt/R/regpolca.R |only sirt-3.10-118/sirt/R/regpolca_define_customItems.R |only sirt-3.10-118/sirt/R/regpolca_grouped_norm.R |only sirt-3.10-118/sirt/R/regpolca_penalty_fun.R |only sirt-3.10-118/sirt/R/regpolca_penalty_fun_value_grouped.R |only sirt-3.10-118/sirt/R/regpolca_penalty_fun_value_nongrouped.R |only sirt-3.10-118/sirt/R/regpolca_postproc_count_regularized_parameters.R |only sirt-3.10-118/sirt/R/regpolca_postproc_ic.R |only sirt-3.10-118/sirt/R/regpolca_postproc_irf.R |only sirt-3.10-118/sirt/R/regpolca_postproc_prob_Theta.R |only sirt-3.10-118/sirt/R/regpolca_proc_data.R |only sirt-3.10-118/sirt/R/regpolca_run_xxirt_random_starts.R |only sirt-3.10-118/sirt/R/rexppow.R |only sirt-3.10-118/sirt/R/scale_group_means.R | 13 sirt-3.10-118/sirt/R/sirt_add_list_elements.R |only sirt-3.10-118/sirt/R/sirt_define_eps_sequence.R |only sirt-3.10-118/sirt/R/sirt_display_function.R |only sirt-3.10-118/sirt/R/sirt_sup.R |only sirt-3.10-118/sirt/R/smirt.R | 101 +- sirt-3.10-118/sirt/R/summary.btm.R | 7 sirt-3.10-118/sirt/R/summary.linking.haberman.lq.R |only sirt-3.10-118/sirt/R/summary.rasch.mml2.R | 3 sirt-3.10-118/sirt/R/summary.regpolca.R |only sirt-3.10-118/sirt/R/summary.xxirt.R | 46 - 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sirt-3.10-118/sirt/man/ccov.np.Rd | 10 sirt-3.10-118/sirt/man/class.accuracy.rasch.Rd | 14 sirt-3.10-118/sirt/man/conf.detect.Rd | 11 sirt-3.10-118/sirt/man/data.math.Rd | 10 sirt-3.10-118/sirt/man/data.pisaMath.Rd | 8 sirt-3.10-118/sirt/man/data.pisaRead.Rd | 12 sirt-3.10-118/sirt/man/data.read.Rd | 7 sirt-3.10-118/sirt/man/data.si.Rd | 4 sirt-3.10-118/sirt/man/data.trees.Rd | 4 sirt-3.10-118/sirt/man/expl.detect.Rd | 23 sirt-3.10-118/sirt/man/invariance.alignment.Rd | 8 sirt-3.10-118/sirt/man/lavaan2mirt.Rd | 4 sirt-3.10-118/sirt/man/linking.haberman.Rd | 31 sirt-3.10-118/sirt/man/linking.haebara.Rd | 32 sirt-3.10-118/sirt/man/lq_fit.Rd |only sirt-3.10-118/sirt/man/lsem.estimate.Rd | 26 sirt-3.10-118/sirt/man/matrixfunctions.sirt.Rd | 4 sirt-3.10-118/sirt/man/rasch.copula.Rd | 7 sirt-3.10-118/sirt/man/rasch.jml.Rd | 22 sirt-3.10-118/sirt/man/rasch.mml.Rd | 35 sirt-3.10-118/sirt/man/rasch.pairwise.Rd | 12 sirt-3.10-118/sirt/man/rasch.pairwise.itemcluster.Rd | 5 sirt-3.10-118/sirt/man/scale_group_means.Rd | 26 sirt-3.10-118/sirt/man/sia.sirt.Rd | 4 sirt-3.10-118/sirt/man/sirt-utilities.Rd | 8 sirt-3.10-118/sirt/man/xxirt.Rd | 16 sirt-3.10-118/sirt/src/RcppExports.cpp | 209 ++++- sirt-3.10-118/sirt/src/probs_multcat_items_counts_rcpp.cpp | 110 +++ sirt-3.10-118/sirt/src/rm_smirt_mml2_rcpp.cpp | 158 ++-- sirt-3.10-118/sirt/src/sirt_rcpp_ccov.cpp |only sirt-3.10-118/sirt/src/sirt_rcpp_discrete_inverse.cpp |only sirt-3.10-118/sirt/src/sirt_rcpp_invariance_alignment.cpp | 21 sirt-3.10-118/sirt/src/sirt_rcpp_linking_haebara.cpp | 27 sirt-3.10-118/sirt/src/sirt_rcpp_lq_fit.cpp |only sirt-3.10-118/sirt/src/sirt_rcpp_pbvnorm.cpp | 7 sirt-3.9-4/sirt/R/fuzcluster_alg.R |only sirt-3.9-4/sirt/R/rasch.mml2.missing1.R |only 212 files changed, 1994 insertions(+), 1273 deletions(-)
Title: Compute the Rectangular Statistical Cartogram
Description: Provides an interface and a C++ implementation of the RecMap MP2
construction heuristic (Panse C. (2018) <doi:10.18637/jss.v086.c01>).
This algorithm draws maps according to a given statistical value
(e.g., election results, population or epidemiological data).
The basic idea of the RecMap algorithm is that each map region
(e.g., different countries) is represented by a rectangle.
The area of each rectangle represents the statistical value given
as input (maintain zero cartographic error). Documentation about the usage
of the recmap algorithm is provided by a vignette included in this package.
Author: Christian Panse [aut, cre] (<https://orcid.org/0000-0003-1975-3064>)
Maintainer: Christian Panse <Christian.Panse@gmail.com>
Diff between recmap versions 1.0.9 dated 2021-05-10 and 1.0.11 dated 2021-09-23
DESCRIPTION | 8 +- MD5 | 24 +++--- README.md | 3 build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.Rd | 7 + inst/doc/recmap.R | 4 - inst/doc/recmap.Rmd | 12 +-- inst/doc/recmap.html | 149 ++++++++++++++++++------------------------ man/jss2711.Rd | 2 man/recmapGA.Rd | 4 - tests/testthat/test-jss2711.R | 1 vignettes/recmap.Rmd | 12 +-- 13 files changed, 107 insertions(+), 119 deletions(-)
Title: Population Down-Scaling
Description: Population down-scaling from census blocks to building units using Areametric and Volumetric approaches.
The aforementioned methods were adopted by Lwin K. K. and Murayama Y. work <doi:10.1111/j.1467-9671.2009.01171.x>.
Author: Marios Batsaris
Maintainer: Marios Batsaris <m.batsaris@aegean.gr>
Diff between populR versions 0.1.0 dated 2021-09-09 and 0.1.1 dated 2021-09-23
populR-0.1.0/populR/R/a.R |only populR-0.1.0/populR/R/areametric.R |only populR-0.1.0/populR/R/blocks.R |only populR-0.1.0/populR/R/buildings.R |only populR-0.1.0/populR/R/p.R |only populR-0.1.0/populR/R/rmse.R |only populR-0.1.0/populR/R/rounding.R |only populR-0.1.0/populR/R/volumetric.R |only populR-0.1.0/populR/data/blocks.rda |only populR-0.1.0/populR/data/buildings.rda |only populR-0.1.0/populR/man/areametric.Rd |only populR-0.1.0/populR/man/blocks.Rd |only populR-0.1.0/populR/man/buildings.Rd |only populR-0.1.0/populR/man/rmse.Rd |only populR-0.1.0/populR/man/rounding.Rd |only populR-0.1.0/populR/man/volumetric.Rd |only populR-0.1.1/populR/DESCRIPTION | 8 +++---- populR-0.1.1/populR/MD5 | 36 ++++++++++++++------------------- populR-0.1.1/populR/NAMESPACE | 8 +++---- populR-0.1.1/populR/R/D.R | 14 ++++++------ populR-0.1.1/populR/R/pp_estimate.R |only populR-0.1.1/populR/R/pp_rmse.R |only populR-0.1.1/populR/R/pp_round.R |only populR-0.1.1/populR/R/source.R |only populR-0.1.1/populR/R/target.R |only populR-0.1.1/populR/build/partial.rdb |binary populR-0.1.1/populR/data/source.rda |only populR-0.1.1/populR/data/target.rda |only populR-0.1.1/populR/man/pp_estimate.Rd |only populR-0.1.1/populR/man/pp_rmse.Rd |only populR-0.1.1/populR/man/pp_round.Rd |only populR-0.1.1/populR/man/source.Rd |only populR-0.1.1/populR/man/target.Rd |only 33 files changed, 31 insertions(+), 35 deletions(-)
Title: Incremental Calculation of Dynamic Time Warping
Description: The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>. For details about this package, Dynamic Time Warping and Incremental Dynamic Time Warping please see "IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping" by Leodolter et al. (2021) <doi:10.18637/jss.v099.i09>.
Author: Maximilian Leodolter
Maintainer: Maximilian Leodolter <maximilian.leodolter@gmail.com>
Diff between IncDTW versions 1.1.4.2 dated 2020-10-09 and 1.1.4.3 dated 2021-09-23
DESCRIPTION | 8 ++++---- MD5 | 20 +++++++++++--------- build/partial.rdb |only inst/CITATION |only man/DBA.Rd | 15 +++++++++++++-- man/IncDTW-package.Rd | 10 +++++++++- man/dec_dm.Rd | 8 ++++++-- man/dtw.Rd | 7 ++++++- man/dtw2vec.Rd | 9 ++++++++- man/idtw.Rd | 9 +++++++-- man/idtw2vec.Rd | 8 +++++++- man/initialize_plane.Rd | 10 ++++++++-- 12 files changed, 79 insertions(+), 25 deletions(-)
Title: Extremal Dependence Models
Description: A set of procedures for modelling parametrically and non-parametrically the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. Adapts the methodologies derived in Beranger et al. (2019) <arxiv:1904.08251>, Beranger et al. (2017) <doi:10.1111/sjos.12240>, Beranger and Padoan (2015) <arxiv:1508.05561>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Marcon et al. (2016) <doi:10.1214/16-EJS1162>. It also refers to the works of Bortot (2010) <https://www.semanticscholar.org/paper/Tail-dependence-in-bivariate-skew-Normal-and-skew-t-Bortot/b0dc1cb608d35bf515c76e39aacc14b4de82e281?p2df>, Padoan (2011) <doi:10.1016/j.jmva.2011.01.014>, Cooley et al. (2010) <doi:10.1016/j.jmva.2010.04.007>, Husler and Reiss (1989) <doi:10.1016/0167-7152(89)90106-5>, Engelke et al. (2015) <doi:10.1111/rssb.12074>, Coles and Tawn (1991) <doi:10.1111/j.2517-6161.1991.tb01830.x>, Nikoloulopoulos et al. (2011) <doi:10.1007/s10687-008-0072-4>, Opitz (2013) <doi:10.1016/j.jmva.2013.08.008>, Tawn (1990) <doi:10.2307/2336802>, Azzalini and Capitanio (2014) <doi:10.1017/CBO9781139248891>, Azzalini (2003) <doi:10.1111/1467-9469.00322>, Azzalini and Capitanio (1999) <doi:10.1111/1467-9868.00194>, Azzalini and Dalla Valle (1996) <doi:10.1093/biomet/83.4.715>, Einmahl et al. (2013) <doi:10.1007/s10687-012-0156-z>, Naveau et al (2009) <doi:10.1093/biomet/asp001> and Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>.
Author: Boris Beranger [aut] (<https://orcid.org/0000-0002-7944-3925>),
Simone Padoan [cre, aut] (<https://orcid.org/0000-0002-0417-7570>),
Giulia Marcon [aut],
Steven G. Johnson [ctb] (Author of included cubature fragments)
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>
Diff between ExtremalDep versions 0.0.3-3 dated 2020-01-16 and 0.0.3-4 dated 2021-09-23
DESCRIPTION | 26 ++++++------- MD5 | 88 +++++++++++++++++++++++----------------------- NAMESPACE | 5 +- R/ApproxBayesian.R | 1 R/ApproxLikelihood.R | 3 + R/Densities.R | 2 - R/Dependence.R | 3 - R/ExtQset.R | 2 - R/PlotDens3d.R | 3 + R/adaptIntegrate.R | 3 + R/beed.R | 3 + data/MilanPollution.rda |binary data/Wind.rda |binary data/pollution.rda |binary man/AngDensPlot.Rd | 23 ++++++------ man/ExtQset.Rd | 6 +-- man/UniExtQ.Rd | 6 +-- man/alik.Rd | 12 +++--- man/angular.Rd | 8 ++-- man/bbeed.Rd | 7 ++- man/beed.Rd | 6 +-- man/beed.boot.Rd | 6 +-- man/beed.confband.Rd | 6 +-- man/chi.bsn.Rd | 12 +++--- man/chi.extst.Rd | 4 +- man/dens.Rd | 9 ++-- man/dens_extr_mod.Rd | 4 +- man/desn.Rd | 4 +- man/dest.Rd | 4 +- man/dmesn.Rd | 6 +-- man/dmest.Rd | 6 +-- man/ellipse.Rd | 4 +- man/excess_pr_extr_mod.Rd | 10 ++--- man/exponent_extr_mod.Rd | 10 ++--- man/fit_pclik_extr_mod.Rd | 12 +++--- man/madogram.Rd | 4 +- man/pk.extst.Rd | 8 ++-- man/plot.bbeed.Rd | 6 +-- man/pollution.Rd | 2 - man/posteriorMCMC.Rd | 12 +++--- man/prior.Rd | 4 +- man/proposal.Rd | 4 +- man/r_extr_mod.Rd | 12 +++--- man/returns.Rd | 6 +-- man/summary.bbeed.Rd | 6 +-- 45 files changed, 187 insertions(+), 181 deletions(-)
Title: Create Compact Hash Digests of R Objects
Description: Implementation of a function 'digest()' for the creation of hash
digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32',
'xxhash', 'murmurhash', 'spookyhash' and 'blake3' algorithms) permitting easy
comparison of R language objects, as well as functions such as'hmac()' to
create hash-based message authentication code. Please note that this package
is not meant to be deployed for cryptographic purposes for which more
comprehensive (and widely tested) libraries such as 'OpenSSL' should be
used.
Author: Dirk Eddelbuettel <edd@debian.org> with contributions
by Antoine Lucas, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek,
Mario Frasca, Bryan Lewis, Murray Stokely, Hannes Muehleisen,
Duncan Murdoch, Jim Hester, Wush Wu, Qiang Kou, Thierry Onkelinx,
Michel Lang, Viliam Simko, Kurt Hornik, Radford Neal, Kendon Bell,
Matthew de Queljoe, Ion Suruceanu, Bill Denney, Dirk Schumacher,
and Winston Chang.
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between digest versions 0.6.27 dated 2020-10-24 and 0.6.28 dated 2021-09-23
ChangeLog | 54 +++++++ DESCRIPTION | 11 - MD5 | 24 +-- R/init.R | 2 R/vdigest.R | 1 README.md | 5 build/vignette.rds |binary inst/doc/sha1.Rmd | 2 inst/doc/sha1.html | 284 +----------------------------------------- inst/tinytest/test_encoding.R | 8 + man/digest.Rd | 12 - src/SpookyV2.cpp | 3 vignettes/sha1.Rmd | 2 13 files changed, 107 insertions(+), 301 deletions(-)
Title: Taking the Pain Out of Catching and Handling Conditions
Description: R has a unique way of dealing with warnings, errors, messages,
and other conditions, but it can often be troublesome to users coming
from different programming backgrounds. The purpose of this package is
to provide flexible and useful tools for handling R conditions with
less hassle. In order to lower the barrier of entry, keep code clean
and readable, and reduce the amount of typing required, `catchr` uses
a very simple domain-specific language that simplifies things on the
front-end.
This package aims to maintain a continuous learning curve that lets new
users jump straight in to condition-handling, while simultaneously
offering depth and complexity for more advanced users.
Author: Zachary Burchill [aut, cre, cph]
Maintainer: Zachary Burchill <zach.burchill.code@gmail.com>
Diff between catchr versions 0.2.3 dated 2020-08-31 and 0.2.31 dated 2021-09-23
DESCRIPTION | 11 ++--- MD5 | 32 +++++++-------- NEWS.md | 10 ++++ R/catching-n-plans.R | 2 R/check-n-clean.R | 2 R/make-handlers.R | 10 ++-- README.md | 9 +++- inst/doc/welcome-to-catchr.html | 85 +++++++++++++++++++++++++++++++++++----- man/args_and_kwargs.Rd | 2 man/beep_with.Rd | 5 -- man/catchr_opts.Rd | 12 +++-- man/collecting-conditions.Rd | 2 man/make_plans.Rd | 2 man/reserved-conditions.Rd | 2 man/user_displays.Rd | 2 man/view-plans.Rd | 9 +++- tests/testthat/test-testing.R | 2 17 files changed, 146 insertions(+), 53 deletions(-)
Title: Interacting with BibTeX Databases
Description: Reading and writing BibTeX files using data frames in R sessions.
Author: Miguel Alvarez [aut, cre] (<https://orcid.org/0000-0003-1500-1834>)
Maintainer: Miguel Alvarez <kamapu78@gmail.com>
Diff between biblio versions 0.0.1 dated 2021-09-23 and 0.0.2 dated 2021-09-23
DESCRIPTION | 7 ++++--- MD5 | 10 +++++----- NAMESPACE | 2 -- R/imports.R | 4 ++-- build/partial.rdb |binary tests/testthat/test-reflist.R | 2 ++ 6 files changed, 13 insertions(+), 12 deletions(-)
Title: Modelling Adoption Process in Marketing
Description: The classical Bass (1969) <doi:10.1287/mnsc.15.5.215> model and the agent based models, such as that by Goldenberg, Libai and Muller (2010) <doi:10.1016/j.ijresmar.2009.06.006> have been two different approaches to model adoption processes in marketing. These two approaches can be unified by explicitly modelling the utility functions. This package provides a GUI that allows, in a unified way, the modelling of these two processes and other processes.
Author: Martin Schlather [aut, cre]
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>
Diff between adoption versions 0.6.2 dated 2019-04-01 and 0.6.4 dated 2021-09-23
DESCRIPTION | 10 +++++----- MD5 | 33 ++++++++++++++++++--------------- man/macros/allg_defn.Rd | 4 ++-- man/technology.Rd | 9 ++++----- src/adoption.cc | 8 ++++++-- src/adoption.h | 4 ---- src/def.h |only src/error.h | 7 ------- src/extern.cc |only src/extern.h |only src/initNerror.cc | 4 +--- src/intrinsics.h | 11 ++++++++++- src/kleinkram.cc | 12 +++++++++++- src/kleinkram.h | 18 +++++------------- src/options.cc | 21 +++++++++++---------- src/options.h | 7 ------- src/xport_import.cc | 4 +++- src/xport_import.h | 8 -------- src/zzz.c | 2 ++ 19 files changed, 78 insertions(+), 84 deletions(-)
Title: Consistent Significance Controlled Variable Selection in
Generalized Linear Regression
Description: Provides significance controlled variable selection algorithms with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, PRESS, or p-value). The algorithm selects a final model with only significant variables defined as those with significant p-values after multiple testing correction such as Bonferroni, False Discovery Rate, etc.
Author: Jongwook Kim, Adriano Zanin Zambom
Maintainer: Adriano Zanin Zambom <adriano.zambom@csun.edu>
Diff between SignifReg versions 4.1 dated 2021-06-30 and 4.2 dated 2021-09-23
DESCRIPTION | 10 +++++----- MD5 | 20 ++++++++++---------- R/SignifReg.R | 14 ++++++++------ R/add1SignifReg.R | 5 +---- R/add1summary.R | 20 +++++++++++++------- R/drop1SignifReg.R | 5 +---- R/drop1summary.R | 16 +++++++++++----- build/partial.rdb |binary man/SignifReg.Rd | 8 ++++---- man/add1SignifReg.Rd | 2 +- man/drop1SignifReg.Rd | 2 +- 11 files changed, 55 insertions(+), 47 deletions(-)
Title: Resource Resolver
Description: A resource represents some data or a computation unit. It is
described by a URL and credentials. This package proposes a Resource model
with "resolver" and "client" classes to facilitate the access and the usage of the
resources.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>),
OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>
Diff between resourcer versions 1.1.0 dated 2020-11-03 and 1.1.1 dated 2021-09-23
DESCRIPTION | 7 ++--- MD5 | 27 ++++++++++----------- R/RDSFileResourceClient.R | 3 +- R/RDataFileResourceClient.R | 3 +- R/ShellResourceClient.R | 18 +++++++++++++- R/datashield.R | 22 +++++++++++------ README.md | 39 ++++++++++++++++++++++++++---- build/vignette.rds |binary inst/doc/resources-introduction.html | 45 +++++++---------------------------- inst/system |only man/RDSFileResourceClient.Rd | 9 ++++++- man/RDataFileResourceClient.Rd | 9 ++++++- man/as.resource.data.frame.Rd | 4 ++- man/as.resource.object.Rd | 4 ++- man/as.resource.tbl.Rd | 4 ++- 15 files changed, 121 insertions(+), 73 deletions(-)
Title: Raven Hydrological Modelling Framework R Support and Analysis
Description: Utilities for processing input and output files associated with the Raven Hydrological Modelling Framework. Includes various plotting functions, model diagnostics, reading output files into extensible time series format, and support for writing Raven input files.
The RavenR package is also archived at Chlumsky et al. (2020) <doi:10.5281/zenodo.4248183>.
The Raven Hydrologic Modelling Framework method can be referenced with Craig et al. (2020) <doi:10.1016/j.envsoft.2020.104728>.
Author: Robert Chlumsky [cre, aut] (<https://orcid.org/0000-0002-1303-5064>),
James Craig [ctb, aut] (<https://orcid.org/0000-0003-2715-7166>),
Leland Scantlebury [ctb, aut],
Simon Lin [ctb, aut],
Sarah Grass [ctb, aut],
Genevieve Brown [ctb, aut],
Rezgar Arabzadeh [ctb, aut]
Maintainer: Robert Chlumsky <rchlumsk@uwaterloo.ca>
Diff between RavenR versions 2.1.0 dated 2021-06-10 and 2.1.4 dated 2021-09-23
RavenR-2.1.0/RavenR/R/rvn_rvi_process_plot.R |only RavenR-2.1.0/RavenR/R/rvn_rvt_ECmet.R |only RavenR-2.1.0/RavenR/R/rvn_rvt_flow.R |only RavenR-2.1.0/RavenR/R/rvn_rvt_obsfile.R |only RavenR-2.1.0/RavenR/R/rvn_rvt_obsfile_irregular.R |only RavenR-2.1.0/RavenR/R/rvn_rvt_obsweights.R |only RavenR-2.1.0/RavenR/R/rvn_rvt_wsc.R |only RavenR-2.1.0/RavenR/man/rvn_rvi_process_plot.Rd |only RavenR-2.1.0/RavenR/man/rvn_rvt_ECmet.Rd |only RavenR-2.1.0/RavenR/man/rvn_rvt_flow.Rd |only RavenR-2.1.0/RavenR/man/rvn_rvt_obsfile.Rd |only RavenR-2.1.0/RavenR/man/rvn_rvt_obsfile_irregular.Rd |only RavenR-2.1.0/RavenR/man/rvn_rvt_obsweights.Rd |only RavenR-2.1.0/RavenR/man/rvn_rvt_wsc.Rd |only RavenR-2.1.4/RavenR/DESCRIPTION | 54 - RavenR-2.1.4/RavenR/MD5 | 310 +++--- RavenR-2.1.4/RavenR/NAMESPACE | 56 - RavenR-2.1.4/RavenR/R/RavenR-package.R | 11 RavenR-2.1.4/RavenR/R/RcppExports.R |only RavenR-2.1.4/RavenR/R/rvn_annual_peak.R | 10 RavenR-2.1.4/RavenR/R/rvn_annual_peak_error.R | 58 - RavenR-2.1.4/RavenR/R/rvn_annual_peak_event.R | 8 RavenR-2.1.4/RavenR/R/rvn_annual_peak_event_error.R | 6 RavenR-2.1.4/RavenR/R/rvn_annual_peak_timing_error.R | 71 - RavenR-2.1.4/RavenR/R/rvn_annual_quantiles.R | 2 RavenR-2.1.4/RavenR/R/rvn_annual_quantiles_plot.R | 2 RavenR-2.1.4/RavenR/R/rvn_annual_volume.R | 12 RavenR-2.1.4/RavenR/R/rvn_apply_wyearly.R | 3 RavenR-2.1.4/RavenR/R/rvn_budyko_plot.R |only RavenR-2.1.4/RavenR/R/rvn_calc_runoff_coeff.R | 2 RavenR-2.1.4/RavenR/R/rvn_cum_plot_flow.R | 4 RavenR-2.1.4/RavenR/R/rvn_custom_output_plot.R | 8 RavenR-2.1.4/RavenR/R/rvn_custom_read.R | 2 RavenR-2.1.4/RavenR/R/rvn_df_to_Raven_table.R | 4 RavenR-2.1.4/RavenR/R/rvn_download.R |only RavenR-2.1.4/RavenR/R/rvn_exhaustive_mb_read.R | 8 RavenR-2.1.4/RavenR/R/rvn_fdc_plot.R | 2 RavenR-2.1.4/RavenR/R/rvn_flow_residuals.R | 6 RavenR-2.1.4/RavenR/R/rvn_flow_scatterplot.R | 10 RavenR-2.1.4/RavenR/R/rvn_flow_spaghetti.R | 4 RavenR-2.1.4/RavenR/R/rvn_forcings_plot.R | 34 RavenR-2.1.4/RavenR/R/rvn_forcings_read.R | 3 RavenR-2.1.4/RavenR/R/rvn_gen_obsweights.R | 9 RavenR-2.1.4/RavenR/R/rvn_hyd_extract.R | 7 RavenR-2.1.4/RavenR/R/rvn_hyd_plot.R | 4 RavenR-2.1.4/RavenR/R/rvn_hyd_read.R | 4 RavenR-2.1.4/RavenR/R/rvn_met_interpolate.R |only RavenR-2.1.4/RavenR/R/rvn_monthly_vbias.R | 12 RavenR-2.1.4/RavenR/R/rvn_res_dygraph.R | 1 RavenR-2.1.4/RavenR/R/rvn_res_extract.R | 39 RavenR-2.1.4/RavenR/R/rvn_res_plot.R | 8 RavenR-2.1.4/RavenR/R/rvn_res_read.R | 7 RavenR-2.1.4/RavenR/R/rvn_run.R |only RavenR-2.1.4/RavenR/R/rvn_rvc_from_custom_output.R | 12 RavenR-2.1.4/RavenR/R/rvn_rvc_res.R | 6 RavenR-2.1.4/RavenR/R/rvn_rvc_write.R | 4 RavenR-2.1.4/RavenR/R/rvn_rvh_cleanHRUs.R | 82 + RavenR-2.1.4/RavenR/R/rvn_rvh_read.R | 5 RavenR-2.1.4/RavenR/R/rvn_rvh_write.R | 8 RavenR-2.1.4/RavenR/R/rvn_rvi_connections.R | 51 - RavenR-2.1.4/RavenR/R/rvn_rvi_getparams.R |only RavenR-2.1.4/RavenR/R/rvn_rvi_process_diagrammer.R |only RavenR-2.1.4/RavenR/R/rvn_rvi_process_ggplot.R |only RavenR-2.1.4/RavenR/R/rvn_rvi_read.R | 152 ++- RavenR-2.1.4/RavenR/R/rvn_rvi_write_template.R |only RavenR-2.1.4/RavenR/R/rvn_rvt_mappings_data.R |only RavenR-2.1.4/RavenR/R/rvn_rvt_read.R | 454 ++++++++- RavenR-2.1.4/RavenR/R/rvn_rvt_tidyhydat.R | 89 + RavenR-2.1.4/RavenR/R/rvn_rvt_write.R | 271 ++++- RavenR-2.1.4/RavenR/R/rvn_rvt_write_met.R |only RavenR-2.1.4/RavenR/R/rvn_subbasin_network_plot.R | 2 RavenR-2.1.4/RavenR/R/rvn_theme_RavenR.R | 6 RavenR-2.1.4/RavenR/R/rvn_ts_infill.R | 8 RavenR-2.1.4/RavenR/R/rvn_utilities.R | 521 ++++++++++- RavenR-2.1.4/RavenR/R/rvn_watershed_read.R | 9 RavenR-2.1.4/RavenR/R/rvn_watershedmeb_read.R | 6 RavenR-2.1.4/RavenR/R/rvn_weathercan_sample.R | 4 RavenR-2.1.4/RavenR/R/rvn_write_Raven_header.R | 4 RavenR-2.1.4/RavenR/R/rvn_write_Raven_label.R | 2 RavenR-2.1.4/RavenR/R/rvn_write_Raven_newfile.R | 4 RavenR-2.1.4/RavenR/R/rvn_write_Raven_table.R | 6 RavenR-2.1.4/RavenR/R/rvn_wyear_indices.R | 4 RavenR-2.1.4/RavenR/R/rvn_xts_plot.R | 10 RavenR-2.1.4/RavenR/R/utils-pipe.R | 2 RavenR-2.1.4/RavenR/README.md | 87 + RavenR-2.1.4/RavenR/build/vignette.rds |binary RavenR-2.1.4/RavenR/inst/doc/Introduction_to_RavenR.R | 34 RavenR-2.1.4/RavenR/inst/doc/Introduction_to_RavenR.Rmd | 99 -- RavenR-2.1.4/RavenR/inst/doc/Introduction_to_RavenR.html | 314 +----- RavenR-2.1.4/RavenR/inst/extdata/GlenAllan.rvt | 4 RavenR-2.1.4/RavenR/inst/extdata/RavenAlgParams.dat |only RavenR-2.1.4/RavenR/inst/extdata/RavenParameters.dat |only RavenR-2.1.4/RavenR/inst/extdata/RavenProcessConnections.dat | 301 ++++-- RavenR-2.1.4/RavenR/man/RavenR-package.Rd | 9 RavenR-2.1.4/RavenR/man/cmax.Rd | 2 RavenR-2.1.4/RavenR/man/get_rvn_met_raven_mapping.Rd |only RavenR-2.1.4/RavenR/man/get_rvt_data_type_mapping.Rd |only RavenR-2.1.4/RavenR/man/get_rvt_mapping.Rd |only RavenR-2.1.4/RavenR/man/get_rvt_met_mapping_weathercan.Rd |only RavenR-2.1.4/RavenR/man/pipe.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_annual_peak.Rd | 8 RavenR-2.1.4/RavenR/man/rvn_annual_peak_error.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_annual_peak_event.Rd | 8 RavenR-2.1.4/RavenR/man/rvn_annual_peak_event_error.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_annual_peak_timing_error.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_annual_quantiles.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_annual_quantiles_plot.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_annual_volume.Rd | 12 RavenR-2.1.4/RavenR/man/rvn_apply_wyearly.Rd | 3 RavenR-2.1.4/RavenR/man/rvn_apply_wyearly_which_max_xts.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_budyko_plot.Rd |only RavenR-2.1.4/RavenR/man/rvn_calc_runoff_coeff.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_cum_plot_flow.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_custom_output_plot.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_df_to_Raven_table.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_dist_lonlat.Rd |only RavenR-2.1.4/RavenR/man/rvn_download.Rd |only RavenR-2.1.4/RavenR/man/rvn_exhaustive_mb_read.Rd | 8 RavenR-2.1.4/RavenR/man/rvn_fdc_plot.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_flow_residuals.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_flow_scatterplot.Rd | 10 RavenR-2.1.4/RavenR/man/rvn_flow_spaghetti.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_forcings_plot.Rd | 9 RavenR-2.1.4/RavenR/man/rvn_forcings_read.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_fortify_xts.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_gen_obsweights.Rd | 9 RavenR-2.1.4/RavenR/man/rvn_get_prd.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_hyd_extract.Rd | 5 RavenR-2.1.4/RavenR/man/rvn_hyd_plot.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_hyd_read.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_met_interpolate.Rd |only RavenR-2.1.4/RavenR/man/rvn_month_names.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_monthly_vbias.Rd | 12 RavenR-2.1.4/RavenR/man/rvn_num_days.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_num_days_month.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_res_dygraph.Rd | 1 RavenR-2.1.4/RavenR/man/rvn_res_extract.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_res_plot.Rd | 8 RavenR-2.1.4/RavenR/man/rvn_res_read.Rd | 7 RavenR-2.1.4/RavenR/man/rvn_run.Rd |only RavenR-2.1.4/RavenR/man/rvn_rvc_from_custom_output.Rd | 7 RavenR-2.1.4/RavenR/man/rvn_rvc_res.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_rvc_write.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_rvh_cleanhrus.Rd | 36 RavenR-2.1.4/RavenR/man/rvn_rvh_read.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_rvh_write.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_rvi_connections.Rd | 24 RavenR-2.1.4/RavenR/man/rvn_rvi_getparams.Rd |only RavenR-2.1.4/RavenR/man/rvn_rvi_process_diagrammer.Rd |only RavenR-2.1.4/RavenR/man/rvn_rvi_process_ggplot.Rd |only RavenR-2.1.4/RavenR/man/rvn_rvi_read.Rd | 10 RavenR-2.1.4/RavenR/man/rvn_rvi_write_template.Rd |only RavenR-2.1.4/RavenR/man/rvn_rvt_mappings_data.Rd |only RavenR-2.1.4/RavenR/man/rvn_rvt_read.Rd | 24 RavenR-2.1.4/RavenR/man/rvn_rvt_tidyhydat.Rd | 39 RavenR-2.1.4/RavenR/man/rvn_rvt_write.Rd | 69 - RavenR-2.1.4/RavenR/man/rvn_rvt_write_met.Rd |only RavenR-2.1.4/RavenR/man/rvn_subbasin_network_plot.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_substrLeft.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_substrMLeft.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_substrMRight.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_substrRight.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_theme_RavenR.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_tidyhydat_sample.Rd | 72 - RavenR-2.1.4/RavenR/man/rvn_ts_infill.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_watershed_read.Rd | 9 RavenR-2.1.4/RavenR/man/rvn_watershedmeb_read.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_weathercan_sample.Rd | 55 - RavenR-2.1.4/RavenR/man/rvn_which_max_xts.Rd | 8 RavenR-2.1.4/RavenR/man/rvn_write_Raven_header.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_write_Raven_label.Rd | 2 RavenR-2.1.4/RavenR/man/rvn_write_Raven_newfile.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_write_Raven_table.Rd | 6 RavenR-2.1.4/RavenR/man/rvn_wyear_indices.Rd | 4 RavenR-2.1.4/RavenR/man/rvn_xts_plot.Rd | 10 RavenR-2.1.4/RavenR/src |only RavenR-2.1.4/RavenR/vignettes/Introduction_to_RavenR.Rmd | 99 -- 177 files changed, 2588 insertions(+), 1469 deletions(-)
Title: Phase I Shewhart X-Bar Chart
Description: The purpose of 'PH1XBAR' is to build a Phase I Shewhart control chart for the basic Shewhart, the variance components and the ARMA models in R for subgrouped and individual data. More details can be found: Yao and Chakraborti (2020) <doi: 10.1002/qre.2793>, and Yao and Chakraborti (2021) <doi: 10.1080/08982112.2021.1878220>.
Author: Yuhui Yao [aut, cre],
Subha Chakraborti [ctb],
Tyler Thomas [ctb],
Jason Parton [ctb],
Xin Yang [ctb]
Maintainer: Yuhui Yao <yyao17@cba.ua.edu>
Diff between PH1XBAR versions 0.9.4 dated 2021-09-13 and 0.10.1 dated 2021-09-23
PH1XBAR-0.10.1/PH1XBAR/ChangeLog | 6 ++ PH1XBAR-0.10.1/PH1XBAR/DESCRIPTION | 19 ++++--- PH1XBAR-0.10.1/PH1XBAR/MD5 | 28 ++++++----- PH1XBAR-0.10.1/PH1XBAR/NAMESPACE | 13 ++++- PH1XBAR-0.10.1/PH1XBAR/R/PH1ARMA.R |only PH1XBAR-0.10.1/PH1XBAR/R/PH1XBAR.R | 5 +- PH1XBAR-0.10.1/PH1XBAR/R/data.R | 2 PH1XBAR-0.10.1/PH1XBAR/R/getCC.ARMA.R |only PH1XBAR-0.10.1/PH1XBAR/R/getCC.XBAR.R |only PH1XBAR-0.10.1/PH1XBAR/R/getCC.exact.R | 8 +-- PH1XBAR-0.10.1/PH1XBAR/README.md | 56 ++++++++++++++++++----- PH1XBAR-0.10.1/PH1XBAR/data/preston_data.rda |only PH1XBAR-0.10.1/PH1XBAR/man/00_PH1XBAR-package.Rd | 25 ++++++---- PH1XBAR-0.10.1/PH1XBAR/man/PH1ARMA.Rd |only PH1XBAR-0.10.1/PH1XBAR/man/PH1XBAR.Rd | 6 +- PH1XBAR-0.10.1/PH1XBAR/man/getCC.ARMA.Rd |only PH1XBAR-0.10.1/PH1XBAR/man/getCC.XBAR.Rd |only PH1XBAR-0.10.1/PH1XBAR/man/preston_data.Rd |only PH1XBAR-0.9.4/PH1XBAR/R/getCC.R |only PH1XBAR-0.9.4/PH1XBAR/man/getCC.Rd |only 20 files changed, 119 insertions(+), 49 deletions(-)
Title: Sensitivity Analysis Tools for LSD Simulations
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente (documentation and downloads available at <https://www.labsimdev.org/>).
Author: Marcelo C. Pereira [aut, cre] (<https://orcid.org/0000-0002-8069-2734>)
Maintainer: Marcelo C. Pereira <mcper@unicamp.br>
Diff between LSDsensitivity versions 0.3.2 dated 2018-12-09 and 1.1.0 dated 2021-09-23
DESCRIPTION | 24 MD5 | 268 ++ NAMESPACE | 6 R/LSDsensitivity.R | 4072 +++++++++++++++++----------------- R/morris.R | 221 - R/morris_oat.R | 189 - build/partial.rdb |binary inst/examples/elementary-effects-SA.R | 176 - inst/examples/kriging-sobol-SA.R | 498 ++-- inst/examples/optimize-MM.R | 300 +- inst/examples/poly-sobol-SA.R | 496 ++-- inst/extdata |only man/LSDsensitivity-package.Rd | 264 +- man/elementary.effects.lsd.Rd | 152 - man/ergod.test.lsd.rd | 153 - man/kriging.model.lsd.Rd | 198 - man/model.limits.lsd.Rd | 262 +- man/model.pred.lsd.Rd | 147 - man/optim.model.lsd.Rd | 200 - man/polynomial.model.lsd.Rd | 190 - man/read.doe.lsd.Rd | 573 ++-- man/response.surface.lsd.Rd | 218 - man/sobol.decomposition.lsd.Rd | 176 - man/symmet.test.lsd.rd | 147 - 24 files changed, 4638 insertions(+), 4292 deletions(-)
More information about LSDsensitivity at CRAN
Permanent link
Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as
'cloud charts'. Static and interactive visualizations with tools for
creating, backtesting and development of quantitative 'ichimoku' strategies.
As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement
on candlestick charting originating from Japan, now in widespread use in
technical analysis worldwide. Translating as 'one-glance equilibrium chart',
it allows the price action and market structure of financial securities to
be determined 'at-a-glance'. Incorporates an interface with the OANDA
fxTrade API <https://developer.oanda.com/> for retrieving historical and
live streaming price data for major currencies, metals, commodities,
government bonds and stock indices.
Author: Charlie Gao [aut, cre] (<https://orcid.org/0000-0002-0750-061X>)
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Diff between ichimoku versions 1.2.0 dated 2021-09-20 and 1.2.1 dated 2021-09-23
DESCRIPTION | 12 ++--- MD5 | 68 ++++++++++++++-------------- NAMESPACE | 7 ++ NEWS.md | 12 +++++ R/ichimoku-package.R | 10 ++-- R/ichimoku.R | 18 +++---- R/iplot.R | 66 ++++++++++----------------- R/look.R | 6 -- R/mltools.R | 15 +++--- R/oanda.R | 107 ++++++++++++++++++++------------------------- R/plot.R | 52 +++++++++++---------- R/switch.R | 6 +- R/sysdata.rda |binary R/utils.R | 47 +++++++++++++++---- README.md | 2 inst/doc/reference.Rmd | 5 -- inst/doc/reference.html | 7 +- inst/doc/strategies.Rmd | 6 +- inst/doc/strategies.html | 6 +- inst/doc/utilities.Rmd | 6 +- inst/doc/utilities.html | 5 +- inst/doc/xoanda.Rmd | 4 - inst/doc/xoanda.html | 6 +- man/autostrat.Rd | 9 ++- man/df_append.Rd | 5 +- man/ichimoku-package.Rd | 4 - man/look.Rd | 6 -- src/cpp11.cpp | 8 --- src/shikokuchuo.cpp | 4 - tests/testthat/test-plot.R | 6 +- vignettes/oanda-stream.jpg |binary vignettes/reference.Rmd | 5 -- vignettes/strategies.Rmd | 6 +- vignettes/utilities.Rmd | 6 +- vignettes/xoanda.Rmd | 4 - 35 files changed, 278 insertions(+), 258 deletions(-)
Title: Generalized Linear Models for Categorical Responses
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix.
Author: Lorena León [aut, cre],
Jean Peyhardi [aut],
Catherine Trottier [aut]
Maintainer: Lorena León <ylorenaleonv@gmail.com>
Diff between GLMcat versions 0.2.3 dated 2021-05-18 and 0.2.4 dated 2021-09-23
GLMcat-0.2.3/GLMcat/man/Discrete_CM.Rd |only GLMcat-0.2.3/GLMcat/man/GLMcat.Rd |only GLMcat-0.2.3/GLMcat/man/control.Rd |only GLMcat-0.2.3/GLMcat/man/nobs_glmcat.Rd |only GLMcat-0.2.3/GLMcat/man/noncentralt.Rd |only GLMcat-0.2.3/GLMcat/man/step_glmcat.Rd |only GLMcat-0.2.3/GLMcat/man/student.Rd |only GLMcat-0.2.4/GLMcat/DESCRIPTION | 8 GLMcat-0.2.4/GLMcat/MD5 | 87 ++- GLMcat-0.2.4/GLMcat/NAMESPACE | 39 + GLMcat-0.2.4/GLMcat/NEWS |only GLMcat-0.2.4/GLMcat/R/DisturbedDreamsDoc.R | 2 GLMcat-0.2.4/GLMcat/R/GLMcat2.R |only GLMcat-0.2.4/GLMcat/R/GLMcatMethods.R | 390 ++++++++++------ GLMcat-0.2.4/GLMcat/R/RcppExports.R | 96 --- GLMcat-0.2.4/GLMcat/R/anova.R |only GLMcat-0.2.4/GLMcat/R/utils.R |only GLMcat-0.2.4/GLMcat/R/zzz.R | 30 - GLMcat-0.2.4/GLMcat/README.md | 10 GLMcat-0.2.4/GLMcat/build/vignette.rds |binary GLMcat-0.2.4/GLMcat/inst/doc/Discrete_CM_examples.R | 20 GLMcat-0.2.4/GLMcat/inst/doc/Discrete_CM_examples.Rmd | 26 - GLMcat-0.2.4/GLMcat/inst/doc/Discrete_CM_examples.pdf |binary GLMcat-0.2.4/GLMcat/inst/doc/GLMcat_tutorial.R | 45 - GLMcat-0.2.4/GLMcat/inst/doc/GLMcat_tutorial.Rmd | 67 +- GLMcat-0.2.4/GLMcat/inst/doc/GLMcat_tutorial.pdf |binary GLMcat-0.2.4/GLMcat/man/DisturbedDreams.Rd | 2 GLMcat-0.2.4/GLMcat/man/anova.Rd |only GLMcat-0.2.4/GLMcat/man/coef.Rd | 17 GLMcat-0.2.4/GLMcat/man/confint.glmcat.Rd |only GLMcat-0.2.4/GLMcat/man/control_glmcat.Rd |only GLMcat-0.2.4/GLMcat/man/discrete_cm.Rd |only GLMcat-0.2.4/GLMcat/man/extractAIC.Rd |only GLMcat-0.2.4/GLMcat/man/glmcat.Rd |only GLMcat-0.2.4/GLMcat/man/logLik.Rd | 17 GLMcat-0.2.4/GLMcat/man/nobs.Rd |only GLMcat-0.2.4/GLMcat/man/plot.Rd |only GLMcat-0.2.4/GLMcat/man/predict.Rd | 35 - GLMcat-0.2.4/GLMcat/man/print.Rd |only GLMcat-0.2.4/GLMcat/man/print.anova.Rd |only GLMcat-0.2.4/GLMcat/man/print.summary.glmcat.Rd |only GLMcat-0.2.4/GLMcat/man/step.Rd |only GLMcat-0.2.4/GLMcat/man/summary.Rd | 12 GLMcat-0.2.4/GLMcat/man/terms.Rd |only GLMcat-0.2.4/GLMcat/man/vcov.Rd |only GLMcat-0.2.4/GLMcat/src/DiscreteCM.cpp | 100 +--- GLMcat-0.2.4/GLMcat/src/GLMcat.cpp | 265 +++++----- GLMcat-0.2.4/GLMcat/src/RcppExports.cpp | 27 - GLMcat-0.2.4/GLMcat/src/adjacentR.cpp | 127 ++++- GLMcat-0.2.4/GLMcat/src/cdf.cpp | 125 ++++- GLMcat-0.2.4/GLMcat/src/cdf.h | 11 GLMcat-0.2.4/GLMcat/src/cumulativeR.cpp | 19 GLMcat-0.2.4/GLMcat/src/reference.cpp | 59 +- GLMcat-0.2.4/GLMcat/src/sequentialR.cpp | 80 ++- GLMcat-0.2.4/GLMcat/vignettes/Discrete_CM_examples.Rmd | 26 - GLMcat-0.2.4/GLMcat/vignettes/GLMcat_tutorial.Rmd | 67 +- GLMcat-0.2.4/GLMcat/vignettes/bibliography_vignette.bib | 4 57 files changed, 1046 insertions(+), 767 deletions(-)
Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages
Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when
'asreml' is used to fit the models. Also used to display, in tables and graphs, predictions
obtained using any model fitting function and to explore differences between predictions.
The content falls into the following natural groupings: (i) Data, (ii) Object
manipulation functions, (iii) Model modification functions, (iv) Model testing functions,
(v) Model diagnostics functions, (vi) Prediction production and presentation functions,
(vii) Response transformation functions, and (viii) Miscellaneous functions (for further
details see 'asremlPlus-package' in help). A history of
the fitting of a sequence of models is kept in a data frame. Procedures are available for
choosing models that conform to the hierarchy or marginality principle and for displaying
predictions for significant terms in tables and graphs. The 'asreml' package provides a
computationally efficient algorithm for fitting mixed models using Residual Maximum
Likelihood. It is a commercial package that can be purchased from
'VSNi' <https://www.vsni.co.uk/> as 'asreml-R', who will supply a zip file for local
installation/updating (see <https://asreml.kb.vsni.co.uk/>). It is not needed for functions that are
methods for 'alldiffs' and 'data.frame' objects. The package 'asremPlus' can also be
installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre] (<https://orcid.org/0000-0003-0581-1817>)
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>
Diff between asremlPlus versions 4.3-19 dated 2021-09-02 and 4.3-21 dated 2021-09-23
asremlPlus-4.3-19/asremlPlus/tests/testthat/testthat-problems.rds |only asremlPlus-4.3-21/asremlPlus/DESCRIPTION | 8 asremlPlus-4.3-21/asremlPlus/MD5 | 39 - asremlPlus-4.3-21/asremlPlus/R/LSDutilities.R | 2 asremlPlus-4.3-21/asremlPlus/R/alldiffs.v2.r | 4 asremlPlus-4.3-21/asremlPlus/R/choose.r | 202 +++++----- asremlPlus-4.3-21/asremlPlus/R/pairTrans.r | 8 asremlPlus-4.3-21/asremlPlus/R/reml4.v8.r | 56 +- asremlPlus-4.3-21/asremlPlus/build/partial.rdb |binary asremlPlus-4.3-21/asremlPlus/inst/NEWS.Rd | 10 asremlPlus-4.3-21/asremlPlus/inst/doc/Ladybird.asreml.pdf |binary asremlPlus-4.3-21/asremlPlus/inst/doc/Ladybird.lm.pdf |binary asremlPlus-4.3-21/asremlPlus/inst/doc/Wheat.analysis.pdf |binary asremlPlus-4.3-21/asremlPlus/inst/doc/Wheat.infoCriteria.pdf |binary asremlPlus-4.3-21/asremlPlus/inst/doc/asremlPlus-manual.pdf |binary asremlPlus-4.3-21/asremlPlus/man/exploreLSDs.alldiffs.Rd | 2 asremlPlus-4.3-21/asremlPlus/man/pairdiffsTransform.alldiffs.Rd | 10 asremlPlus-4.3-21/asremlPlus/man/print.LSDdata.Rd | 17 asremlPlus-4.3-21/asremlPlus/man/ratioTransform.alldiffs.Rd | 4 asremlPlus-4.3-21/asremlPlus/man/testranfix.asrtests.Rd | 4 asremlPlus-4.3-21/asremlPlus/tests/testthat/test4alldiffs.r | 48 ++ 21 files changed, 256 insertions(+), 158 deletions(-)
Title: Longitudinal Gaussian Process Regression
Description: Interpretable nonparametric modeling of longitudinal data
using additive Gaussian process regression. Contains functionality
for inferring covariate effects and assessing covariate relevances.
Models are specified using a convenient formula syntax, and can include
shared, group-specific, non-stationary, heterogeneous and temporally
uncertain effects. Bayesian inference for model parameters is performed
using 'Stan'. The modeling approach and methods are described in detail in
Timonen et al. (2021) <doi:10.1093/bioinformatics/btab021>.
Author: Juho Timonen [aut, cre] (<https://orcid.org/0000-0003-2341-6765>)
Maintainer: Juho Timonen <juho.timonen@iki.fi>
Diff between lgpr versions 1.1.4 dated 2021-08-11 and 1.1.5 dated 2021-09-23
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NAMESPACE | 4 ++++ R/aaa.R | 5 +++-- README.md | 2 +- inst/doc/math.html | 2 +- 6 files changed, 17 insertions(+), 12 deletions(-)
Title: Covariate-Adaptive Randomization for Clinical Trials
Description: Provides functions and command-line user interface to generate allocation sequence by covariate-adaptive randomization for clinical trials. The package currently supports six covariate-adaptive randomization procedures. Three hypothesis testing methods that are valid and robust under covariate-adaptive randomization are also available in the package to facilitate the inference for treatment effect under the included randomization procedures. Additionally, the package provides comprehensive and efficient tools to allow one to evaluate and compare the performance of randomization procedures and tests based on various criteria.
Author: Fuyi Tu [aut],
Xiaoqing Ye [aut, cre],
Wei Ma [aut, ths],
Feifang Hu [aut, ths]
Maintainer: Xiaoqing Ye <ye_xiaoq@163.com>
Diff between carat versions 1.5 dated 2021-07-25 and 2.0 dated 2021-09-23
DESCRIPTION | 14 ++--- MD5 | 86 +++++++++++++++++------------------ R/RcppExports.R | 8 +++ R/class_carandom.R | 41 +++++++++++----- R/class_carcomp.R | 10 ++-- R/class_careval.R | 43 +++++++++++------ R/class_carseq.R | 68 +++++++++++++-------------- R/rand_CLI.R | 12 ++-- R/rand_completeData.R | 90 +++++++++++++++++++++++------------- R/rand_evalRand.R | 39 ++++++++++------ R/rand_generatingData.R | 117 ++++++++++++++++++++++++++++-------------------- R/test_Rfunction.R | 10 ++-- data/pats.rda |binary inst/NEWS.Rd | 6 ++ man/AdjBCD.Rd | 14 ++--- man/AdjBCD.sim.Rd | 10 ++-- man/AdjBCD.ui.Rd | 2 man/CompPower.Rd | 6 +- man/DoptBCD.Rd | 4 - man/DoptBCD.sim.Rd | 10 ++-- man/DoptBCD.ui.Rd | 4 - man/HuHuCAR.Rd | 10 ++-- man/HuHuCAR.sim.Rd | 10 ++-- man/HuHuCAR.ui.Rd | 2 man/PocSimMIN.Rd | 8 +-- man/PocSimMIN.sim.Rd | 10 ++-- man/PocSimMIN.ui.Rd | 2 man/StrBCD.Rd | 6 +- man/StrBCD.sim.Rd | 8 +-- man/StrBCD.ui.Rd | 2 man/StrPBR.Rd | 4 - man/StrPBR.sim.Rd | 6 +- man/StrPBR.ui.Rd | 2 man/boot.test.Rd | 18 +++---- man/carat-package.Rd | 4 - man/corr.test.Rd | 4 - man/evalPower.Rd | 42 ++++++++--------- man/evalRand.Rd | 18 +++---- man/evalRand.sim.Rd | 22 ++++----- man/getData.Rd | 24 ++++----- man/pats.Rd | 2 man/rand.test.Rd | 18 +++---- src/InnerFun.cpp | 116 +++++++++++++++++++---------------------------- src/RcppExports.cpp | 26 ++++++++++ 44 files changed, 533 insertions(+), 425 deletions(-)
Title: BreedWheat Genomic Selection Pipeline
Description: Package for Breed Wheat Genomic Selection Pipeline.
The R package 'BWGS' is developed by Louis Gautier Tran <louis.gautier.tran@gmail.com> and Gilles Charmet <gilles.charmet@inra.fr>.
This repository is forked from original repository <https://forgemia.inra.fr/umr-gdec/bwgs>
and modified as a R package.
Author: Louis Gautier Tran [aut],
Gilles Charmet [aut],
Bangyou Zheng [cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>
Diff between BWGS versions 0.2.0 dated 2021-09-09 and 0.2.1 dated 2021-09-23
DESCRIPTION | 18 +++++++++--------- MD5 | 4 ++-- README.md | 2 +- 3 files changed, 12 insertions(+), 12 deletions(-)
Title: Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Description: Designed to be compatible with the R package 'DBI' (Database Interface)
when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>.
To do this 'Python' 'Boto3' Software Development Kit ('SDK')
<https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>
Diff between RAthena versions 2.1.0 dated 2021-07-27 and 2.2.0 dated 2021-09-23
DESCRIPTION | 11 +- MD5 | 42 ++++---- NEWS.md | 56 ++++++++++- R/Connection.R | 16 +-- R/DataTypes.R | 147 ++++++++++++++--------------- R/Driver.R | 4 R/File_Parser.R | 14 ++ R/Options.R | 4 R/athena_low_api.R | 3 R/column_parser.R | 23 ++++ R/sql_translate_env.R | 51 +++++++++- R/table.R | 6 - R/util.R | 2 build/vignette.rds |binary inst/doc/aws_athena_query_caching.html | 1 inst/doc/aws_s3_backend.html | 1 inst/doc/changing_backend_file_parser.html | 1 inst/doc/convert_and_save_cost.html | 1 inst/doc/getting_started.html | 1 inst/doc/how_to_retry.html | 1 tests/testthat/test-dplyr-sql-trans-env.R | 34 +++++- tests/testthat/test-file-parser.R | 22 ++++ 22 files changed, 316 insertions(+), 125 deletions(-)
Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI'
Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface)
when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>.
To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws'
<https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>
Diff between noctua versions 2.1.0 dated 2021-07-27 and 2.2.0 dated 2021-09-23
DESCRIPTION | 10 - MD5 | 47 ++++----- NEWS.md | 51 ++++++++++ R/Connection.R | 1 R/DataTypes.R | 147 ++++++++++++++--------------- R/Driver.R | 5 R/File_Parser.R | 14 ++ R/Options.R | 4 R/Table.R | 4 R/column_parser.R | 24 ++++ R/sql_translate_env.R | 49 +++++++++ R/utils.R | 2 R/zzz.R | 5 build/vignette.rds |binary inst/doc/aws_athena_query_caching.html | 1 inst/doc/aws_s3_backend.html | 1 inst/doc/changing_backend_file_parser.html | 1 inst/doc/convert_and_save_cost.html | 1 inst/doc/getting_started.html | 1 inst/doc/how_to_retry.html | 1 man/AthenaConnection.Rd | 2 tests/testthat/helper.R | 2 tests/testthat/test-base-write.R |only tests/testthat/test-dplyr-sql-trans-env.R | 36 ++++++- tests/testthat/test-file-parser.R | 23 ++++ 25 files changed, 312 insertions(+), 120 deletions(-)
Title: Running Commands Remotely on 'Gridengine' Clusters
Description: Run lapply() calls in parallel by submitting them to
'gridengine' clusters using the 'qsub' command.
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>,
rcannood),
Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Diff between qsub versions 1.1.2 dated 2021-05-12 and 1.1.3 dated 2021-09-23
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 4 ++++ R/qsub_config.R | 3 +++ R/qsub_run.R | 4 +++- 5 files changed, 17 insertions(+), 8 deletions(-)
Title: Prediction Model Pooling, Selection and Performance Evaluation
Across Multiply Imputed Datasets
Description: Pooling, backward and forward selection of linear, logistic and Cox regression models in
multiply imputed datasets. Backward and forward selection can be done
from the pooled model using Rubin's Rules (RR), the D1, D2, D3, D4 and
the median p-values method. This is also possible for Mixed models.
The models can contain continuous, dichotomous, categorical and restricted
cubic spline predictors and interaction terms between all these type of predictors.
The stability of the models can be evaluated using bootstrapping and cluster
bootstrapping. The package further contains functions to pool the model performance
as ROC/AUC, R-squares, scaled Brier score, H&L test and calibration plots for logistic
regression models. Internal validation can be done with cross-validation or bootstrapping.
The adjusted intercept after shrinkage of pooled regression coefficients can be obtained.
Backward and forward selection as part of internal validation is possible.
A function to externally validate logistic prediction models in multiple imputed
datasets is available and a function to compare models.
Eekhout (2017) <doi:10.1186/s12874-017-0404-7>.
Wiel (2009) <doi:10.1093/biostatistics/kxp011>.
Marshall (2009) <doi:10.1186/1471-2288-9-57>.
Author: Martijn Heymans [cre, aut] (<https://orcid.org/0000-0002-3889-0921>),
Iris Eekhout [ctb]
Maintainer: Martijn Heymans <mw.heymans@amsterdamumc.nl>
Diff between psfmi versions 0.7.1 dated 2021-01-13 and 1.0.0 dated 2021-09-23
DESCRIPTION | 18 MD5 | 183 ++-- NAMESPACE | 27 NEWS.md | 24 R/MI_boot.R | 153 ++- R/MI_cv_naive.R | 13 R/boot_MI.R | 151 ++- R/bw_single.R | 817 +++++++++---------- R/coxph_bw.R |only R/coxph_fw.R |only R/cv_MI.R | 5 R/glm_bw.R |only R/glm_fw.R |only R/hoslem_test.R |only R/mivalext_lr.R | 310 ++++--- R/pool_D2.R |only R/pool_D4.R |only R/pool_auc.R | 28 R/pool_compare_models.R | 2 R/pool_performance.R | 230 +++-- R/pool_performance_internal.R |only R/psfmi_coxr.R | 29 R/psfmi_coxr_bw.R | 12 R/psfmi_coxr_fw.R | 16 R/psfmi_lm.R |only R/psfmi_lm_bw.R |only R/psfmi_lm_fw.R |only R/psfmi_lr.R | 11 R/psfmi_lr_bw.R | 58 + R/psfmi_lr_fw.R | 226 +++-- R/psfmi_mm_multiparm.R | 6 R/psfmi_perform.R | 75 - R/psfmi_validate.R |only R/rsq_nagel.R | 2 R/rsq_surv.R |only README.md | 119 ++ build/vignette.rds |binary inst/doc/MI_boot.R | 4 inst/doc/MI_boot.Rmd | 8 inst/doc/MI_boot.html | 96 +- inst/doc/MI_cv_naive.R | 4 inst/doc/MI_cv_naive.Rmd | 6 inst/doc/MI_cv_naive.html | 27 inst/doc/Pool_Model_Performance.R |only inst/doc/Pool_Model_Performance.Rmd |only inst/doc/Pool_Model_Performance.html |only inst/doc/Pooling_AUC_values.R |only inst/doc/Pooling_AUC_values.Rmd |only inst/doc/Pooling_AUC_values.html |only inst/doc/boot_MI.R | 4 inst/doc/boot_MI.Rmd | 31 inst/doc/boot_MI.html | 68 + inst/doc/cv_MI.R | 4 inst/doc/cv_MI.Rmd | 6 inst/doc/cv_MI.html | 27 inst/doc/cv_MI_RR.R | 4 inst/doc/cv_MI_RR.Rmd | 6 inst/doc/cv_MI_RR.html | 19 inst/doc/development_workflow.R | 42 inst/doc/development_workflow.Rmd | 57 - inst/doc/development_workflow.html | 173 +--- inst/doc/psfmi_CoxModels.R | 68 - inst/doc/psfmi_CoxModels.Rmd | 90 +- inst/doc/psfmi_CoxModels.html | 389 +++++---- inst/doc/psfmi_LinearModels.R |only inst/doc/psfmi_LinearModels.Rmd |only inst/doc/psfmi_LinearModels.html |only inst/doc/psfmi_LogisticModels.R | 76 - inst/doc/psfmi_LogisticModels.Rmd | 76 - inst/doc/psfmi_LogisticModels.html | 361 ++++---- inst/doc/psfmi_StabilityAnalysis.html | 1436 +++++++++++++++++++++++----------- inst/doc/psfmi_mice.R | 15 inst/doc/psfmi_mice.Rmd | 15 inst/doc/psfmi_mice.html | 225 ++--- inst/tutorials |only man/boot_MI.Rd | 9 man/bw_single.Rd | 23 man/coxph_bw.Rd |only man/coxph_fw.Rd |only man/glm_bw.Rd |only man/glm_fw.Rd |only man/hoslem_test.Rd |only man/mivalext_lr.Rd | 51 - man/pool_D2.Rd |only man/pool_D4.Rd |only man/pool_auc.Rd | 14 man/pool_compare_models.Rd | 2 man/pool_performance.Rd | 46 - man/pool_performance_internal.Rd |only man/psfmi_coxr.Rd | 26 man/psfmi_coxr_fw.Rd | 4 man/psfmi_lm.Rd |only man/psfmi_lm_bw.Rd |only man/psfmi_lm_fw.Rd |only man/psfmi_lr.Rd | 8 man/psfmi_lr_fw.Rd | 2 man/psfmi_perform.Rd | 41 man/psfmi_validate.Rd |only man/rsq_nagel.Rd | 2 man/rsq_surv.Rd |only vignettes/MI_boot.Rmd | 8 vignettes/MI_cv_naive.Rmd | 6 vignettes/Pool_Model_Performance.Rmd |only vignettes/Pooling_AUC_values.Rmd |only vignettes/boot_MI.Rmd | 31 vignettes/cv_MI.Rmd | 6 vignettes/cv_MI_RR.Rmd | 6 vignettes/development_workflow.Rmd | 57 - vignettes/psfmi_CoxModels.Rmd | 90 +- vignettes/psfmi_LinearModels.Rmd |only vignettes/psfmi_LogisticModels.Rmd | 76 - vignettes/psfmi_mice.Rmd | 15 112 files changed, 3781 insertions(+), 2594 deletions(-)
Title: Mixed GAM Computation Vehicle with Automatic Smoothness
Estimation
Description: Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (Restricted) Marginal Likelihood,
Generalized Cross Validation and similar, or using iterated
nested Laplace approximation for fully Bayesian inference. See
Wood (2017) <doi:10.1201/9781315370279> for an overview.
Includes a gam() function, a wide variety of smoothers, 'JAGS'
support and distributions beyond the exponential family.
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>
Diff between mgcv versions 1.8-36 dated 2021-06-01 and 1.8-37 dated 2021-09-23
mgcv-1.8-36/mgcv/inst/po/it |only mgcv-1.8-36/mgcv/po/R-it.po |only mgcv-1.8-36/mgcv/po/it.po |only mgcv-1.8-37/mgcv/ChangeLog | 9 +++++++++ mgcv-1.8-37/mgcv/DESCRIPTION | 6 +++--- mgcv-1.8-37/mgcv/MD5 | 28 ++++++++++++---------------- mgcv-1.8-37/mgcv/R/misc.r | 1 + mgcv-1.8-37/mgcv/R/smooth.r | 8 +++++--- mgcv-1.8-37/mgcv/build/partial.rdb |binary mgcv-1.8-37/mgcv/man/mgcv-parallel.Rd | 2 +- mgcv-1.8-37/mgcv/man/te.Rd | 7 +------ mgcv-1.8-37/mgcv/src/discrete.c | 7 ++++--- mgcv-1.8-37/mgcv/src/gdi.c | 8 +++++--- mgcv-1.8-37/mgcv/src/magic.c | 8 +++++--- mgcv-1.8-37/mgcv/src/mat.c | 6 +++--- mgcv-1.8-37/mgcv/src/sparse.c | 7 ++++--- 16 files changed, 53 insertions(+), 44 deletions(-)
More information about MazamaRollUtils at CRAN
Permanent link
Title: Best-Fit Straight Line
Description: How to fit a straight line through a set of points with errors in
both coordinates? The 'bfsl' package implements the York regression
(York, 2004 <doi:10.1119/1.1632486>). It provides unbiased estimates of the
intercept, slope and standard errors for the best-fit straight line to
independent points with (possibly correlated) normally distributed errors in
both x and y. Other commonly used errors-in-variables methods, such as
orthogonal distance regression, geometric mean regression or Deming regression
are special cases of the 'bfsl' solution.
Author: Patrick Sturm [aut, cre]
Maintainer: Patrick Sturm <sturm@tofwerk.com>
Diff between bfsl versions 0.1.0 dated 2018-12-16 and 0.2.0 dated 2021-09-23
bfsl-0.1.0/bfsl/man/pearson_york.Rd |only bfsl-0.2.0/bfsl/DESCRIPTION | 29 - bfsl-0.2.0/bfsl/LICENSE |only bfsl-0.2.0/bfsl/MD5 | 36 + bfsl-0.2.0/bfsl/NAMESPACE | 20 - bfsl-0.2.0/bfsl/NEWS.md | 19 bfsl-0.2.0/bfsl/R/bfsl.R | 381 ++++++++++++++++++-- bfsl-0.2.0/bfsl/R/data.R | 52 +- bfsl-0.2.0/bfsl/README.md | 193 ++++++++-- bfsl-0.2.0/bfsl/data/pearson_york.RData |binary bfsl-0.2.0/bfsl/man/augment.bfsl.Rd |only bfsl-0.2.0/bfsl/man/bfsl.Rd | 38 + bfsl-0.2.0/bfsl/man/figures/README-confidence-1.png |only bfsl-0.2.0/bfsl/man/figures/README-ggplot-1.png |only bfsl-0.2.0/bfsl/man/figures/README-plot-1.png |binary bfsl-0.2.0/bfsl/man/glance.bfsl.Rd |only bfsl-0.2.0/bfsl/man/pearson_york_data.Rd |only bfsl-0.2.0/bfsl/man/plot.bfsl.Rd | 3 bfsl-0.2.0/bfsl/man/predict.bfsl.Rd |only bfsl-0.2.0/bfsl/man/print.bfsl.Rd | 2 bfsl-0.2.0/bfsl/man/print.summary.bfsl.Rd |only bfsl-0.2.0/bfsl/man/reexports.Rd |only bfsl-0.2.0/bfsl/man/summary.bfsl.Rd |only bfsl-0.2.0/bfsl/man/tidy.bfsl.Rd |only bfsl-0.2.0/bfsl/tests/testthat/test-bfsl.R | 130 +++++- 25 files changed, 752 insertions(+), 151 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-09 0.1.1
2019-12-13 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-08 1.1.1
2021-08-19 1.1.0
2021-06-14 1.0.7
2021-05-10 1.0.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-08-11 0.1.9
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-29 1.7.1
2020-01-29 1.7.0
2014-09-26 1.6-1
Title: Standardize Plant Names According to World Flora Online
Taxonomic Backbone
Description: World Flora Online is an online flora of all known plants, available from <http://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names, botanical names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website. The World Flora Online Taxonomic Backbone is an updated version of The Plant List (<http://www.theplantlist.org/>), a working list of plant names that has become static since 2013.
Author: Roeland Kindt [cre, aut] (<https://orcid.org/0000-0002-7672-0712>)
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>
Diff between WorldFlora versions 1.8 dated 2021-08-10 and 1.9 dated 2021-09-23
DESCRIPTION | 14 MD5 | 16 R/WFO.match.R | 871 ++++++++++++++++++++++++++-------------------------- R/WFO.one.R | 294 ++++++++--------- R/new.backbone.R | 93 ++--- build/partial.rdb |binary inst/ChangeLog | 429 +++++++++++++------------ man/WFO.match.Rd | 64 +-- man/new.backbone.Rd | 35 -- 9 files changed, 918 insertions(+), 898 deletions(-)
Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre],
Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>
Diff between UniprotR versions 2.0.8 dated 2021-07-10 and 2.1.0 dated 2021-09-23
DESCRIPTION | 10 +++++----- MD5 | 16 +++++++++++----- NAMESPACE | 4 ++++ R/GETSeqFastaUniprot.R | 28 ++++++++++++++-------------- R/GetAccessionList.R | 2 +- R/PlotEnrichedGO.R |only R/PlotEnrichedPathways.R |only R/PlotGOAll.R |only man/GETSeqFastaUniprot.Rd | 10 ++++++---- man/PlotEnrichedGO.Rd |only man/PlotEnrichedPathways.Rd |only man/PlotGOAll.Rd |only 12 files changed, 41 insertions(+), 29 deletions(-)
Title: Trust Region Optimization for Nonlinear Functions with Sparse
Hessians
Description: Trust region algorithm for nonlinear optimization. Efficient when
the Hessian of the objective function is sparse (i.e., relatively few nonzero
cross-partial derivatives). See Braun, M. (2014) <doi:10.18637/jss.v060.i04>.
Author: Michael Braun [aut, cre, cph] (<https://orcid.org/0000-0003-4774-2119>)
Maintainer: Michael Braun <braunm@smu.edu>
Diff between trustOptim versions 0.8.6.2 dated 2018-03-27 and 0.8.7.1 dated 2021-09-23
DESCRIPTION | 26 - MD5 | 45 +- NEWS | 14 R/callTrust.R | 54 +-- build/vignette.rds |binary inst/CITATION | 3 inst/doc/trustOptim-demo.R | 10 inst/doc/trustOptim-demo.html | 287 ++++++++++++----- inst/doc/trustOptim-quick.R | 16 inst/doc/trustOptim-quick.html | 638 +++++++++++++++++++++++---------------- inst/include/CG-base.h | 70 ++-- inst/include/CG-quasi.h | 5 inst/include/CG-sparse.h | 5 inst/include/Rfunc.cpp | 19 - inst/include/RfuncHess.cpp | 27 + inst/include/common_R.hpp | 83 ----- man/trust.optim.Rd | 57 +-- man/trustOptim.Rd | 1 src/Makevars.win | 1 src/RcppExports.cpp | 5 src/trustOptim.cpp | 140 ++++---- tests/testthat/test_binary.R |only tests/testthat/test_rosenbrock.R | 32 + vignettes/trustOptim.bib | 77 ++-- 24 files changed, 944 insertions(+), 671 deletions(-)
Title: Load Census TIGER/Line Shapefiles
Description: Download TIGER/Line shapefiles from the United States Census Bureau
(<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>)
and load into R as 'sf' objects.
Author: Kyle Walker [aut, cre],
Bob Rudis [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>
Diff between tigris versions 1.4.1 dated 2021-06-18 and 1.5 dated 2021-09-23
DESCRIPTION | 8 +- MD5 | 30 ++++---- NEWS | 11 ++- R/enumeration_units.R | 125 ++++++++++++++++++++++++++++--------- R/legislative.R | 117 +++++++++++++++++++++++++++------- R/places.R | 20 ++++- R/pumas.R | 19 ++++- README.md | 8 +- data/fips_codes.rda |binary man/block_groups.Rd | 6 + man/places.Rd | 6 + man/pumas.Rd | 5 - man/school_districts.Rd | 6 + man/state_legislative_districts.Rd | 5 - man/tracts.Rd | 8 +- man/voting_districts.Rd | 47 ++++++++++--- 16 files changed, 313 insertions(+), 108 deletions(-)
Title: Tools to Match Corporate Lending Portfolios with Climate Data
Description: These tools implement in R a fundamental part of the software
'PACTA' (Paris Agreement Capital Transition Assessment), which is a
free tool that calculates the alignment between financial portfolios
and climate scenarios (<https://2degrees-investing.org/>). Financial
institutions use 'PACTA' to study how their capital allocation
decisions align with climate change mitigation goals. This package
matches data from corporate lending portfolios to asset level data
from market-intelligence databases (e.g. power plant capacities,
emission factors, etc.). This is the first step to assess if a
financial portfolio aligns with climate goals.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>),
Jackson Hoffart [aut] (<https://orcid.org/0000-0002-8600-5042>),
Klaus Hagedorn [aut],
Florence Palandri [aut],
Evgeny Petrovsky [aut],
2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>
Diff between r2dii.match versions 0.0.10 dated 2021-06-29 and 0.0.11 dated 2021-09-23
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 4 ++++ README.md | 24 +++++------------------- tests/testthat/test-match_name.R | 2 +- 5 files changed, 17 insertions(+), 27 deletions(-)
Title: Parameterized Unit Testing
Description: This is an extension of the 'testthat' package that
lets you add parameters to your unit tests. Parameterized unit tests
are often easier to read and more reliable, since they follow the DNRY
(do not repeat yourself) rule.
Author: Michael Quinn [aut, cre]
Maintainer: Michael Quinn <msquinn@google.com>
Diff between patrick versions 0.0.3 dated 2020-10-27 and 0.0.4 dated 2021-09-23
DESCRIPTION | 7 ++- MD5 | 8 ++-- NEWS.md | 7 +++ R/with_parameters.R | 18 +++++++++- tests/testthat/test-with_parameters.R | 60 ++++++++++++++++++++++++++++++++-- 5 files changed, 90 insertions(+), 10 deletions(-)
Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>),
Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>
Diff between jsmodule versions 1.1.8 dated 2021-08-09 and 1.1.9 dated 2021-09-23
DESCRIPTION | 8 +-- MD5 | 16 +++---- NAMESPACE | 1 NEWS.md | 6 ++ R/timeroc.R | 107 ++++++++++++++++++++++++++++--------------------- build/vignette.rds |binary inst/doc/jsmodule.html | 5 +- man/timeROC_table.Rd | 8 +-- man/timeROChelper.Rd | 7 --- 9 files changed, 90 insertions(+), 68 deletions(-)