Title: Time Series Prediction Integrated Tuning
Description: Prediction is one of the most important activities while working with time series. There are many alternative ways to model the time series. Finding the right one is challenging to model them. Most data-driven models (either statistical or machine learning) demand tuning. Setting them right is mandatory for good predictions. It is even more complex since time series prediction also demands choosing a data pre-processing that complies with the chosen model. Many time series frameworks have features to build and tune models. The package differs as it provides a framework that seamlessly integrates tuning data pre-processing activities with the building of models. The package provides functions for defining and conducting time series prediction, including data pre(post)processing, decomposition, tuning, modeling, prediction, and accuracy assessment. More information is available at Izau et al. <doi:10.5753/sbbd.2022.224330>.
Author: Eduardo Ogasawara [aut, ths, cre]
,
Cristiane Gea [aut],
Diogo Santos [aut],
Rebecca Salles [aut],
Vitoria Birindiba [aut],
Carla Pacheco [aut],
Eduardo Bezerra [aut],
Esther Pacitti [aut],
Fabio Porto [aut],
Federal Center for Technological Educatio [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between tspredit versions 1.0.747 dated 2023-12-21 and 1.0.767 dated 2024-03-25
tspredit-1.0.747/tspredit/R/bal_oversampling.R |only tspredit-1.0.747/tspredit/R/bal_subsampling.R |only tspredit-1.0.747/tspredit/R/cla_fs.R |only tspredit-1.0.747/tspredit/R/cla_fs_fss.R |only tspredit-1.0.747/tspredit/R/cla_fs_ig.R |only tspredit-1.0.747/tspredit/R/cla_fs_lasso.R |only tspredit-1.0.747/tspredit/R/cla_fs_relief.R |only tspredit-1.0.747/tspredit/man/bal_oversampling.Rd |only tspredit-1.0.747/tspredit/man/bal_subsampling.Rd |only tspredit-1.0.747/tspredit/man/cla_fs.Rd |only tspredit-1.0.747/tspredit/man/cla_fs_fss.Rd |only tspredit-1.0.747/tspredit/man/cla_fs_ig.Rd |only tspredit-1.0.747/tspredit/man/cla_fs_lasso.Rd |only tspredit-1.0.747/tspredit/man/cla_fs_relief.Rd |only tspredit-1.0.767/tspredit/DESCRIPTION | 11 ++-- tspredit-1.0.767/tspredit/MD5 | 54 ++++++++-------------- tspredit-1.0.767/tspredit/NAMESPACE | 22 -------- tspredit-1.0.767/tspredit/R/ts_fil_ema.R | 4 - tspredit-1.0.767/tspredit/R/ts_fil_kalman.R | 1 tspredit-1.0.767/tspredit/R/ts_fil_ma.R | 4 - tspredit-1.0.767/tspredit/R/ts_fil_none.R | 17 +++--- tspredit-1.0.767/tspredit/R/ts_fil_qes.R | 4 - tspredit-1.0.767/tspredit/R/ts_fil_ses.R | 4 - tspredit-1.0.767/tspredit/R/ts_fil_smooth.R | 1 tspredit-1.0.767/tspredit/R/ts_fil_winsor.R | 4 - tspredit-1.0.767/tspredit/R/ts_maintune.R | 1 tspredit-1.0.767/tspredit/README.md | 2 tspredit-1.0.767/tspredit/man/ts_fil_ema.Rd | 4 - tspredit-1.0.767/tspredit/man/ts_fil_kalman.Rd | 1 tspredit-1.0.767/tspredit/man/ts_fil_ma.Rd | 4 - tspredit-1.0.767/tspredit/man/ts_fil_none.Rd | 15 +++--- tspredit-1.0.767/tspredit/man/ts_fil_qes.Rd | 4 - tspredit-1.0.767/tspredit/man/ts_fil_ses.Rd | 4 - tspredit-1.0.767/tspredit/man/ts_fil_smooth.Rd | 1 tspredit-1.0.767/tspredit/man/ts_fil_winsor.Rd | 4 - 35 files changed, 47 insertions(+), 119 deletions(-)
Title: Design of Experiments Suite: Generate and Evaluate Optimal
Designs
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Author: Tyler Morgan-Wall [aut, cre],
George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Diff between skpr versions 1.6.2 dated 2024-02-06 and 1.7.1 dated 2024-03-25
DESCRIPTION | 12 - MD5 | 68 +++--- R/add_ci_bounds_mc_power.R |only R/calculate_block_nesting.R |only R/calculate_degrees_of_freedom.R | 60 ++++- R/calculate_gefficiency.R | 15 - R/calculate_power_curves.R | 15 - R/calculate_split_columns.R | 19 - R/calculate_v_from_blocks.R |only R/convert_blockcolumn_rownames.R | 59 +---- R/convert_rownames_to_covariance.R | 22 -- R/eval_design_custom_mc.R | 23 +- R/eval_design_mc.R | 47 ++-- R/eval_design_survival_mc.R | 21 + R/gen_design.R | 135 +++++++----- R/generate_noise_block.R | 17 - R/get_block_groups.R |only R/get_optimality.R | 24 +- R/methods.R | 7 R/plot_correlations.R | 13 - R/plot_fds.R | 7 R/reduceRunMatrix.R | 4 R/remove_skpr_blockcols.R | 7 R/skprGUI.R | 396 +++++++++++++++++++++++-------------- man/add_ci_bounds_mc_power.Rd |only man/calculate_block_nesting.Rd |only man/calculate_gefficiency.Rd | 6 man/calculate_power_curves.Rd | 15 - man/calculate_split_columns.Rd | 36 +-- man/calculate_v_from_blocks.Rd |only man/eval_design_custom_mc.Rd | 6 man/eval_design_mc.Rd | 10 man/eval_design_survival_mc.Rd | 3 man/generate_noise_block.Rd | 2 man/get_block_groups.Rd |only man/plot_correlations.Rd | 5 src/genOptimalDesign.cpp | 4 src/genSplitPlotOptimalDesign.cpp | 4 src/getBlockedOptimalDesign.cpp | 4 39 files changed, 652 insertions(+), 414 deletions(-)
Title: Universal Graphics Device
Description: A unified R graphics backend. Render R graphics fast and easy to many common file formats.
Provides a thread safe 'C' interface for asynchronous rendering of R graphics.
Author: Florian Rupprecht [aut, cre] ,
Kun Ren [ctb],
Tatsuya Shima [ctb],
Jeroen Ooms [ctb] ,
Hadley Wickham [cph] ,
Lionel Henry [cph] ,
Thomas Lin Pedersen [cph] ,
T Jake Luciani [cph] ,
Matthieu Decorde [cph] ,
Vaudor Lise [cph] ,
Tony Plate [cph] ,
Davi [...truncated...]
Maintainer: Florian Rupprecht <floruppr@gmail.com>
Diff between unigd versions 0.1.0 dated 2024-01-25 and 0.1.1 dated 2024-03-25
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 7 ++++++- README.md | 11 ++++++++--- configure | 2 +- src/Makevars.ucrt | 13 +++++++++++-- 6 files changed, 34 insertions(+), 15 deletions(-)
Title: An API Generator for R
Description: Gives the ability to automatically generate and serve an HTTP API
from R functions using the annotations in the R documentation around your
functions.
Author: Barret Schloerke [cre, aut] ,
Jeff Allen [aut, ccp],
Bruno Tremblay [ctb],
Frans van Dunne [ctb],
Sebastiaan Vandewoude [ctb],
Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>
Diff between plumber versions 1.2.1 dated 2022-09-06 and 1.2.2 dated 2024-03-25
DESCRIPTION | 16 ++-- MD5 | 68 +++++++++--------- NAMESPACE | 1 NEWS.md | 6 + R/options_plumber.R | 24 ++++++ R/parse-body.R | 3 R/plumber.R | 14 +-- R/pr.R | 2 R/pr_set.R | 4 - R/shared-secret-filter.R | 4 - R/ui.R | 20 ++--- R/utf8.R | 5 - README.md | 7 + build/plumber.pdf |binary build/stage23.rdb |only inst/WORDLIST | 4 - inst/plumber/14-future/plumber.R | 2 inst/plumber/16-attachment/plumber.R | 27 +++++++ man/Plumber.Rd | 10 +- man/PlumberEndpoint.Rd | 2 man/PlumberStatic.Rd | 2 man/PlumberStep.Rd | 2 man/deprecated_r6.Rd | 4 - man/options_plumber.Rd | 13 +++ man/pr_run.Rd | 2 man/pr_set_docs.Rd | 2 man/pr_set_docs_callback.Rd | 5 + man/register_docs.Rd | 4 - tests/spelling.R | 16 +++- tests/testthat/files/include/test.html | 124 ++++++++++++++++----------------- tests/testthat/test-options.R | 23 ++++-- tests/testthat/test-parse-block.R | 2 tests/testthat/test-parse-body.R | 13 +++ tests/testthat/test-plumber-run.R | 4 - tests/testthat/test-utf8.R |only tests/testthat/test-zzzz-include.R | 2 36 files changed, 272 insertions(+), 165 deletions(-)
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 2.0.0 dated 2023-11-16 and 3.0.0 dated 2024-03-25
DESCRIPTION | 8 +- MD5 | 14 ++-- NAMESPACE | 4 + R/threerocs.R |only inst/doc/documentation_rocbc.R | 72 ++++++++++++++++++++++++ inst/doc/documentation_rocbc.Rmd | 111 ++++++++++++++++++++++++++++++++++++-- inst/doc/documentation_rocbc.html | 85 ++++++++++++++++++++++++++--- man/threerocs.Rd |only vignettes/documentation_rocbc.Rmd | 111 ++++++++++++++++++++++++++++++++++++-- 9 files changed, 380 insertions(+), 25 deletions(-)
Title: Tools for HTML
Description: Tools for HTML generation and output.
Author: Joe Cheng [aut],
Carson Sievert [aut, cre] ,
Barret Schloerke [aut] ,
Winston Chang [aut] ,
Yihui Xie [aut],
Jeff Allen [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Carson Sievert <carson@posit.co>
Diff between htmltools versions 0.5.7 dated 2023-11-03 and 0.5.8 dated 2024-03-25
DESCRIPTION | 12 ++++++------ MD5 | 14 +++++++------- NEWS.md | 13 +++++++++++++ R/fill.R | 4 ++-- R/tags.R | 5 ++++- inst/fill/fill.css | 38 ++++++++++++++++++++------------------ man/tagAppendAttributes.Rd | 5 ++++- tests/testthat/test-fill.R | 2 ++ 8 files changed, 58 insertions(+), 35 deletions(-)
Title: Graph Based Multiple Comparison Procedures
Description: Functions and a graphical user interface for graphical described
multiple test procedures.
Author: Kornelius Rohmeyer [aut, cre],
Florian Klinglmueller [aut]
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>
Diff between gMCP versions 0.8-16 dated 2023-11-29 and 0.8-17 dated 2024-03-25
gMCP-0.8-16/gMCP/R/ci.R |only gMCP-0.8-16/gMCP/inst/doc/AQuickStart.R |only gMCP-0.8-16/gMCP/inst/doc/AQuickStart.Rnw |only gMCP-0.8-16/gMCP/inst/doc/AQuickStart.pdf |only gMCP-0.8-16/gMCP/vignettes/AQuickStart.Rnw |only gMCP-0.8-17/gMCP/DESCRIPTION | 10 +++++----- gMCP-0.8-17/gMCP/MD5 | 17 ++++++----------- gMCP-0.8-17/gMCP/NEWS | 7 +++++++ gMCP-0.8-17/gMCP/R/initJava.R | 7 +++++-- gMCP-0.8-17/gMCP/build/vignette.rds |binary gMCP-0.8-17/gMCP/inst/doc/gMCP.pdf |binary gMCP-0.8-17/gMCP/inst/doc/parametric.pdf |binary 12 files changed, 23 insertions(+), 18 deletions(-)
Title: Easily Install and Load the 'Tidymodels' Packages
Description: The tidy modeling "verse" is a collection of packages for
modeling and statistical analysis that share the underlying design
philosophy, grammar, and data structures of the tidyverse.
Author: Max Kuhn [aut, cre] ,
Hadley Wickham [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>
Diff between tidymodels versions 1.1.1 dated 2023-08-24 and 1.2.0 dated 2024-03-25
DESCRIPTION | 22 +++++++++++----------- MD5 | 10 +++++----- NEWS.md | 4 ++++ README.md | 22 +++++++++++----------- build/vignette.rds |binary inst/doc/Tags.html | 2 +- 6 files changed, 32 insertions(+), 28 deletions(-)
Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general
engine for big data processing, see <https://spark.apache.org/>. This
package supports connecting to local and remote Apache Spark clusters,
provides a 'dplyr' compatible back-end, and provides an interface to
Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut],
Kevin Kuo [aut] ,
Kevin Ushey [aut],
JJ Allaire [aut],
Samuel Macedo [ctb],
Hossein Falaki [aut],
Lu Wang [aut],
Andy Zhang [aut],
Yitao Li [aut] ,
Jozef Hajnala [ctb],
Maciej Szymkiewicz [ctb] ,
Wil Davis [ctb],
Edgar Ruiz [au [...truncated...]
Maintainer: Edgar Ruiz <edgar@rstudio.com>
Diff between sparklyr versions 1.8.4 dated 2023-10-30 and 1.8.5 dated 2024-03-25
sparklyr-1.8.4/sparklyr/inst/java/sparklyr-1.5-2.10.jar |only sparklyr-1.8.4/sparklyr/inst/java/sparklyr-1.6-2.10.jar |only sparklyr-1.8.4/sparklyr/inst/java/sparklyr-2.0-2.11.jar |only sparklyr-1.8.4/sparklyr/inst/java/sparklyr-2.3-2.11.jar |only sparklyr-1.8.4/sparklyr/java/spark-1.5.2 |only sparklyr-1.8.4/sparklyr/java/spark-1.6.0 |only sparklyr-1.8.4/sparklyr/java/spark-2.0.0 |only sparklyr-1.8.4/sparklyr/java/spark-2.3.0 |only sparklyr-1.8.4/sparklyr/man/stream_read_delta.Rd |only sparklyr-1.8.4/sparklyr/man/stream_read_json.Rd |only sparklyr-1.8.4/sparklyr/man/stream_read_kafka.Rd |only sparklyr-1.8.4/sparklyr/man/stream_read_orc.Rd |only sparklyr-1.8.4/sparklyr/man/stream_read_parquet.Rd |only sparklyr-1.8.4/sparklyr/man/stream_read_socket.Rd |only sparklyr-1.8.4/sparklyr/man/stream_read_text.Rd |only sparklyr-1.8.4/sparklyr/man/stream_write_console.Rd |only sparklyr-1.8.4/sparklyr/man/stream_write_delta.Rd |only sparklyr-1.8.4/sparklyr/man/stream_write_json.Rd |only sparklyr-1.8.4/sparklyr/man/stream_write_kafka.Rd |only sparklyr-1.8.4/sparklyr/man/stream_write_orc.Rd |only sparklyr-1.8.4/sparklyr/man/stream_write_parquet.Rd |only sparklyr-1.8.4/sparklyr/man/stream_write_text.Rd |only sparklyr-1.8.5/sparklyr/DESCRIPTION | 18 sparklyr-1.8.5/sparklyr/MD5 | 417 +-- sparklyr-1.8.5/sparklyr/NAMESPACE | 9 sparklyr-1.8.5/sparklyr/NEWS.md | 30 sparklyr-1.8.5/sparklyr/R/arrow_data.R | 4 sparklyr-1.8.5/sparklyr/R/config_spark.R | 48 sparklyr-1.8.5/sparklyr/R/data_interface.R | 128 - sparklyr-1.8.5/sparklyr/R/dbi_spark_connection.R | 1 sparklyr-1.8.5/sparklyr/R/do_spark.R | 2 sparklyr-1.8.5/sparklyr/R/dplyr_hof.R | 14 sparklyr-1.8.5/sparklyr/R/dplyr_spark_table.R | 83 sparklyr-1.8.5/sparklyr/R/install_spark.R | 2 sparklyr-1.8.5/sparklyr/R/install_spark_windows.R | 2 sparklyr-1.8.5/sparklyr/R/kubernetes_config.R | 2 sparklyr-1.8.5/sparklyr/R/livy_install.R | 17 sparklyr-1.8.5/sparklyr/R/ml_classification_logistic_regression.R | 118 - sparklyr-1.8.5/sparklyr/R/ml_clustering_lda.R | 156 - sparklyr-1.8.5/sparklyr/R/ml_clustering_power_iteration.R | 4 sparklyr-1.8.5/sparklyr/R/ml_fpm_prefixspan.R | 2 sparklyr-1.8.5/sparklyr/R/ml_metrics.R | 2 sparklyr-1.8.5/sparklyr/R/sdf_distinct.R | 1 sparklyr-1.8.5/sparklyr/R/sdf_interface.R | 16 sparklyr-1.8.5/sparklyr/R/sdf_ml.R | 2 sparklyr-1.8.5/sparklyr/R/sdf_unnest_longer.R | 4 sparklyr-1.8.5/sparklyr/R/sdf_unnest_wider.R | 2 sparklyr-1.8.5/sparklyr/R/sdf_wrapper.R | 2 sparklyr-1.8.5/sparklyr/R/spark_apply.R | 66 sparklyr-1.8.5/sparklyr/R/spark_compile.R | 4 sparklyr-1.8.5/sparklyr/R/spark_ide.R | 2 sparklyr-1.8.5/sparklyr/R/spark_sql.R | 9 sparklyr-1.8.5/sparklyr/R/spark_version.R | 24 sparklyr-1.8.5/sparklyr/R/stream_data.R | 1108 +++------- sparklyr-1.8.5/sparklyr/R/stream_operations.R | 2 sparklyr-1.8.5/sparklyr/R/tidiers_utils.R | 2 sparklyr-1.8.5/sparklyr/R/tidyr_pivot_longer.R | 10 sparklyr-1.8.5/sparklyr/R/tidyr_pivot_wider.R | 2 sparklyr-1.8.5/sparklyr/R/tidyr_utils.R | 2 sparklyr-1.8.5/sparklyr/R/utils.R | 14 sparklyr-1.8.5/sparklyr/R/worker_apply.R | 8 sparklyr-1.8.5/sparklyr/README.md | 204 - sparklyr-1.8.5/sparklyr/build/partial.rdb |binary sparklyr-1.8.5/sparklyr/inst/extdata/versions.json | 30 sparklyr-1.8.5/sparklyr/inst/java/sparklyr-2.4-2.11.jar |binary sparklyr-1.8.5/sparklyr/inst/java/sparklyr-2.4-2.12.jar |binary sparklyr-1.8.5/sparklyr/inst/java/sparklyr-3.0-2.12.jar |binary sparklyr-1.8.5/sparklyr/inst/java/sparklyr-master-2.12.jar |binary sparklyr-1.8.5/sparklyr/inst/rstudio/connections.dcf | 4 sparklyr-1.8.5/sparklyr/java/embedded_sources.R | 95 sparklyr-1.8.5/sparklyr/java/spark-2.4.0/applyutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/arrowbatchstreamwriter.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/arrowconverters.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/arrowhelper.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/backend.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/backendconf.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/backendconfconstants.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/boundedpriorityqueue.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/bucketizerutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/channel.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/classutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/collectors.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/cumprod.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/dayssinceepoch.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/dfcollectionutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/dfutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/distributiongenerators.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/fileutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/handler.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/invoke.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/livyutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/logger.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/mlutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/mlutils2.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/partitionutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/randomrdds.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/rddutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/rdscollector.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/repartition.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/rscript.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/rtypes.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/rutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/samplingutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/schemautils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/serializer.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/shell.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/sources.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/sparksqlutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/sqlutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/stratifiedsamplingutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/stream.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/streamutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/strsplit.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/structtypeasjson.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/test.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/tracker.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/transformers.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/udfutils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/utils.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/weightedquantilesummaries.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/workerapply.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/workercontext.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/workerhelper.scala |only sparklyr-1.8.5/sparklyr/java/spark-2.4.0/workerrdd.scala |only sparklyr-1.8.5/sparklyr/man/arrow_enabled_object.Rd | 2 sparklyr-1.8.5/sparklyr/man/ft_binarizer.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_bucketizer.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_chisq_selector.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_count_vectorizer.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_dct.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_elementwise_product.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_feature_hasher.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_hashing_tf.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_idf.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_imputer.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_index_to_string.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_interaction.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_lsh.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_max_abs_scaler.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_min_max_scaler.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_ngram.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_normalizer.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_one_hot_encoder.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_one_hot_encoder_estimator.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_pca.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_polynomial_expansion.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_quantile_discretizer.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_r_formula.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_regex_tokenizer.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_robust_scaler.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_standard_scaler.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_stop_words_remover.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_string_indexer.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_tokenizer.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_vector_assembler.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_vector_indexer.Rd | 28 sparklyr-1.8.5/sparklyr/man/ft_vector_slicer.Rd | 24 sparklyr-1.8.5/sparklyr/man/ft_word2vec.Rd | 28 sparklyr-1.8.5/sparklyr/man/hof_aggregate.Rd | 2 sparklyr-1.8.5/sparklyr/man/hof_array_sort.Rd | 2 sparklyr-1.8.5/sparklyr/man/hof_filter.Rd | 2 sparklyr-1.8.5/sparklyr/man/hof_forall.Rd | 2 sparklyr-1.8.5/sparklyr/man/hof_map_zip_with.Rd | 2 sparklyr-1.8.5/sparklyr/man/hof_transform.Rd | 2 sparklyr-1.8.5/sparklyr/man/hof_zip_with.Rd | 2 sparklyr-1.8.5/sparklyr/man/ml_aft_survival_regression.Rd | 29 sparklyr-1.8.5/sparklyr/man/ml_bisecting_kmeans.Rd | 38 sparklyr-1.8.5/sparklyr/man/ml_decision_tree.Rd | 47 sparklyr-1.8.5/sparklyr/man/ml_gaussian_mixture.Rd | 38 sparklyr-1.8.5/sparklyr/man/ml_generalized_linear_regression.Rd | 29 sparklyr-1.8.5/sparklyr/man/ml_gradient_boosted_trees.Rd | 47 sparklyr-1.8.5/sparklyr/man/ml_isotonic_regression.Rd | 30 sparklyr-1.8.5/sparklyr/man/ml_kmeans.Rd | 37 sparklyr-1.8.5/sparklyr/man/ml_lda.Rd | 146 - sparklyr-1.8.5/sparklyr/man/ml_linear_regression.Rd | 30 sparklyr-1.8.5/sparklyr/man/ml_linear_svc.Rd | 30 sparklyr-1.8.5/sparklyr/man/ml_logistic_regression.Rd | 66 sparklyr-1.8.5/sparklyr/man/ml_multilayer_perceptron_classifier.Rd | 29 sparklyr-1.8.5/sparklyr/man/ml_naive_bayes.Rd | 30 sparklyr-1.8.5/sparklyr/man/ml_one_vs_rest.Rd | 30 sparklyr-1.8.5/sparklyr/man/ml_power_iteration.Rd | 2 sparklyr-1.8.5/sparklyr/man/ml_prefixspan.Rd | 2 sparklyr-1.8.5/sparklyr/man/ml_random_forest.Rd | 47 sparklyr-1.8.5/sparklyr/man/sdf_distinct.Rd | 14 sparklyr-1.8.5/sparklyr/man/sdf_project.Rd | 14 sparklyr-1.8.5/sparklyr/man/sdf_random_split.Rd | 14 sparklyr-1.8.5/sparklyr/man/sdf_register.Rd | 14 sparklyr-1.8.5/sparklyr/man/sdf_sample.Rd | 14 sparklyr-1.8.5/sparklyr/man/sdf_sort.Rd | 14 sparklyr-1.8.5/sparklyr/man/sdf_unnest_longer.Rd | 4 sparklyr-1.8.5/sparklyr/man/sdf_unnest_wider.Rd | 2 sparklyr-1.8.5/sparklyr/man/sdf_weighted_sample.Rd | 14 sparklyr-1.8.5/sparklyr/man/spark_config_kubernetes.Rd | 2 sparklyr-1.8.5/sparklyr/man/spark_config_packages.Rd | 2 sparklyr-1.8.5/sparklyr/man/spark_insert_table.Rd | 2 sparklyr-1.8.5/sparklyr/man/spark_load_table.Rd | 3 sparklyr-1.8.5/sparklyr/man/spark_read_avro.Rd | 1 sparklyr-1.8.5/sparklyr/man/spark_read_csv.Rd | 9 sparklyr-1.8.5/sparklyr/man/spark_read_jdbc.Rd | 3 sparklyr-1.8.5/sparklyr/man/spark_read_json.Rd | 9 sparklyr-1.8.5/sparklyr/man/spark_read_orc.Rd | 3 sparklyr-1.8.5/sparklyr/man/spark_read_parquet.Rd | 9 sparklyr-1.8.5/sparklyr/man/spark_read_source.Rd | 3 sparklyr-1.8.5/sparklyr/man/spark_read_table.Rd | 3 sparklyr-1.8.5/sparklyr/man/spark_read_text.Rd | 11 sparklyr-1.8.5/sparklyr/man/spark_write_avro.Rd | 10 sparklyr-1.8.5/sparklyr/man/spark_write_jdbc.Rd | 2 sparklyr-1.8.5/sparklyr/man/spark_write_orc.Rd | 3 sparklyr-1.8.5/sparklyr/man/spark_write_table.Rd | 2 sparklyr-1.8.5/sparklyr/man/sql-transformer.Rd | 24 sparklyr-1.8.5/sparklyr/man/stream_lag.Rd | 2 sparklyr-1.8.5/sparklyr/man/stream_read_csv.Rd | 52 sparklyr-1.8.5/sparklyr/man/stream_write_csv.Rd | 107 sparklyr-1.8.5/sparklyr/man/stream_write_memory.Rd | 39 sparklyr-1.8.5/sparklyr/man/sub-.tbl_spark.Rd | 10 sparklyr-1.8.5/sparklyr/tools/readme/dplyr-ggplot2-1.png |binary 216 files changed, 1769 insertions(+), 2897 deletions(-)
Title: Datasets to Measure the Alignment of Corporate Loan Books with
Climate Goals
Description: These datasets support the implementation in R of the
software 'PACTA' (Paris Agreement Capital Transition Assessment),
which is a free tool that calculates the alignment between corporate
lending portfolios and climate scenarios
(<https://www.transitionmonitor.com/>). Financial institutions use
'PACTA' to study how their capital allocation decisions align with
climate change mitigation goals. Because both financial institutions
and market data providers keep their data private, this package
provides fake, public data to enable the development and use of
'PACTA' in R.
Author: Alex Axthelm [aut, cre, dtc] ,
Jackson Hoffart [aut, ctr, dtc]
,
Mauro Lepore [aut, ctr] ,
Rocky Mountain Institute [cph, fnd]
Maintainer: Alex Axthelm <aaxthelm@rmi.org>
Diff between r2dii.data versions 0.4.1 dated 2023-11-13 and 0.5.0 dated 2024-03-25
r2dii.data-0.4.1/r2dii.data/R/ald_demo.R |only r2dii.data-0.4.1/r2dii.data/R/green_or_brown.R |only r2dii.data-0.4.1/r2dii.data/data/ald_demo.R |only r2dii.data-0.4.1/r2dii.data/data/cnb_classification.rda |only r2dii.data-0.4.1/r2dii.data/data/green_or_brown.R |only r2dii.data-0.4.1/r2dii.data/man/ald_demo.Rd |only r2dii.data-0.4.1/r2dii.data/man/green_or_brown.Rd |only r2dii.data-0.4.1/r2dii.data/tests/testthat/_snaps/green_or_brown.md |only r2dii.data-0.4.1/r2dii.data/tests/testthat/test-ald_demo.R |only r2dii.data-0.4.1/r2dii.data/tests/testthat/test-green_or_brown.R |only r2dii.data-0.5.0/r2dii.data/DESCRIPTION | 9 - r2dii.data-0.5.0/r2dii.data/MD5 | 79 ++++------ r2dii.data-0.5.0/r2dii.data/NEWS.md | 18 ++ r2dii.data-0.5.0/r2dii.data/R/classification_bridge.R | 62 +++---- r2dii.data-0.5.0/r2dii.data/R/sysdata.rda |binary r2dii.data-0.5.0/r2dii.data/README.md | 4 r2dii.data-0.5.0/r2dii.data/data/abcd_demo.rda |binary r2dii.data-0.5.0/r2dii.data/data/cnb_classification.R |only r2dii.data-0.5.0/r2dii.data/data/data_dictionary.rda |binary r2dii.data-0.5.0/r2dii.data/data/gics_classification.rda |binary r2dii.data-0.5.0/r2dii.data/data/isic_classification.rda |binary r2dii.data-0.5.0/r2dii.data/data/loanbook_demo.rda |binary r2dii.data-0.5.0/r2dii.data/data/nace_classification.rda |binary r2dii.data-0.5.0/r2dii.data/data/naics_classification.rda |binary r2dii.data-0.5.0/r2dii.data/data/psic_classification.rda |binary r2dii.data-0.5.0/r2dii.data/data/sector_classifications.rda |binary r2dii.data-0.5.0/r2dii.data/data/sic_classification.rda |binary r2dii.data-0.5.0/r2dii.data/man/cnb_classification.Rd | 36 ---- r2dii.data-0.5.0/r2dii.data/man/data_dictionary.Rd | 2 r2dii.data-0.5.0/r2dii.data/man/gics_classification.Rd | 5 r2dii.data-0.5.0/r2dii.data/man/isic_classification.Rd | 5 r2dii.data-0.5.0/r2dii.data/man/iso_codes.Rd | 4 r2dii.data-0.5.0/r2dii.data/man/loanbook_demo.Rd | 2 r2dii.data-0.5.0/r2dii.data/man/nace_classification.Rd | 5 r2dii.data-0.5.0/r2dii.data/man/naics_classification.Rd | 5 r2dii.data-0.5.0/r2dii.data/man/psic_classification.Rd | 3 r2dii.data-0.5.0/r2dii.data/man/sector_classifications.Rd | 3 r2dii.data-0.5.0/r2dii.data/man/sic_classification.Rd | 5 r2dii.data-0.5.0/r2dii.data/tests/testthat/_snaps/abcd_demo.md | 16 +- r2dii.data-0.5.0/r2dii.data/tests/testthat/_snaps/data_dictionary.md | 10 - r2dii.data-0.5.0/r2dii.data/tests/testthat/_snaps/loanbook_demo.md | 50 +++--- r2dii.data-0.5.0/r2dii.data/tests/testthat/_snaps/sector_classifications.md | 18 +- r2dii.data-0.5.0/r2dii.data/tests/testthat/test-classification_bridge.R | 20 ++ r2dii.data-0.5.0/r2dii.data/tests/testthat/test-data_dictionary.R | 7 r2dii.data-0.5.0/r2dii.data/tests/testthat/test-loanbook_demo.R | 27 +++ r2dii.data-0.5.0/r2dii.data/tests/testthat/test-sector_classifications.R | 5 46 files changed, 215 insertions(+), 185 deletions(-)
Title: Tidy Statistical Inference
Description: The objective of this package is to perform inference using
an expressive statistical grammar that coheres with the tidy design
framework.
Author: Andrew Bray [aut],
Chester Ismay [aut] ,
Evgeni Chasnovski [aut] ,
Simon Couch [aut, cre] ,
Ben Baumer [aut] ,
Mine Cetinkaya-Rundel [aut] ,
Ted Laderas [ctb] ,
Nick Solomon [ctb],
Johanna Hardin [ctb],
Albert Y. Kim [ctb] ,
Neal Fultz [ctb],
Doug Fr [...truncated...]
Maintainer: Simon Couch <simon.couch@posit.co>
Diff between infer versions 1.0.6 dated 2024-01-31 and 1.0.7 dated 2024-03-25
DESCRIPTION | 12 MD5 | 158 - NAMESPACE | 19 NEWS.md | 10 R/calculate.R | 19 R/deprecated.R | 8 R/shade_confidence_interval.R | 2 R/shade_p_value.R | 10 R/visualize.R | 1 R/wrappers.R | 18 README.md | 2 build/partial.rdb |binary build/vignette.rds |binary inst/doc/anova.html | 10 inst/doc/chi_squared.html | 10 inst/doc/infer.html | 6 inst/doc/observed_stat_examples.html | 50 inst/doc/paired.html | 4 inst/doc/t_test.html | 6 man/figures/lifecycle-archived.svg |only man/figures/lifecycle-defunct.svg |only man/figures/lifecycle-deprecated.svg |only man/figures/lifecycle-experimental.svg |only man/figures/lifecycle-maturing.svg |only man/figures/lifecycle-questioning.svg |only man/figures/lifecycle-soft-deprecated.svg |only man/figures/lifecycle-stable.svg |only man/figures/lifecycle-superseded.svg |only tests/testthat/_snaps/aliases.md | 18 tests/testthat/_snaps/observe.md | 6 tests/testthat/_snaps/shade_confidence_interval/ci-both-nofill.svg | 1 tests/testthat/_snaps/shade_confidence_interval/ci-sim-nofill.svg | 1 tests/testthat/_snaps/shade_confidence_interval/ci-theor-nofill.svg | 1 tests/testthat/_snaps/shade_p_value/pval-both-both.svg | 99 tests/testthat/_snaps/shade_p_value/pval-both-corrupt.svg | 76 tests/testthat/_snaps/shade_p_value/pval-both-left.svg | 99 tests/testthat/_snaps/shade_p_value/pval-both-null.svg | 99 tests/testthat/_snaps/shade_p_value/pval-both-right.svg | 99 tests/testthat/_snaps/shade_p_value/pval-direction-both.svg | 99 tests/testthat/_snaps/shade_p_value/pval-direction-left.svg | 99 tests/testthat/_snaps/shade_p_value/pval-direction-right.svg | 99 tests/testthat/_snaps/shade_p_value/pval-extra-aes-1.svg | 99 tests/testthat/_snaps/shade_p_value/pval-extra-aes-2.svg | 99 tests/testthat/_snaps/shade_p_value/pval-extra-aes-3.svg | 99 tests/testthat/_snaps/shade_p_value/pval-sim-both.svg | 99 tests/testthat/_snaps/shade_p_value/pval-sim-corrupt.svg | 73 tests/testthat/_snaps/shade_p_value/pval-sim-left.svg | 99 tests/testthat/_snaps/shade_p_value/pval-sim-null.svg | 99 tests/testthat/_snaps/shade_p_value/pval-sim-right.svg | 99 tests/testthat/_snaps/shade_p_value/pval-stat-match.svg | 999 ---------- tests/testthat/_snaps/shade_p_value/pval-theor-both.svg | 99 tests/testthat/_snaps/shade_p_value/pval-theor-corrupt.svg | 55 tests/testthat/_snaps/shade_p_value/pval-theor-left.svg | 99 tests/testthat/_snaps/shade_p_value/pval-theor-null.svg | 99 tests/testthat/_snaps/shade_p_value/pval-theor-right.svg | 99 tests/testthat/_snaps/shade_p_value/zero-area-shade.svg |only tests/testthat/_snaps/visualize/df-obs-stat-1.svg | 149 - tests/testthat/_snaps/visualize/df-obs-stat-2.svg | 71 tests/testthat/_snaps/visualize/vis-both-both-1.svg | 74 tests/testthat/_snaps/visualize/vis-both-both-2.svg | 80 tests/testthat/_snaps/visualize/vis-both-left-1.svg | 78 tests/testthat/_snaps/visualize/vis-both-left-2.svg | 80 tests/testthat/_snaps/visualize/vis-both-none-1.svg | 73 tests/testthat/_snaps/visualize/vis-both-none-2.svg | 75 tests/testthat/_snaps/visualize/vis-both-right-1.svg | 74 tests/testthat/_snaps/visualize/vis-both-right-2.svg | 78 tests/testthat/_snaps/visualize/vis-sim-both-1.svg | 149 - tests/testthat/_snaps/visualize/vis-sim-both-2.svg | 59 tests/testthat/_snaps/visualize/vis-sim-left-1.svg | 99 tests/testthat/_snaps/visualize/vis-sim-right-1.svg | 99 tests/testthat/_snaps/visualize/vis-theor-both-1.svg | 99 tests/testthat/_snaps/visualize/vis-theor-both-2.svg | 59 tests/testthat/_snaps/visualize/vis-theor-left-1.svg | 57 tests/testthat/_snaps/visualize/vis-theor-none-2.svg | 54 tests/testthat/_snaps/visualize/vis-theor-none-3.svg | 56 tests/testthat/_snaps/visualize/vis-theor-none-4.svg | 56 tests/testthat/_snaps/visualize/vis-theor-right-1.svg | 59 tests/testthat/_snaps/visualize/viz-fit-no-h0.svg | 2 tests/testthat/_snaps/visualize/viz-fit-p-val-both.svg | 129 - tests/testthat/_snaps/visualize/viz-fit-p-val-left.svg | 57 tests/testthat/_snaps/visualize/viz-fit-p-val-right.svg | 57 tests/testthat/_snaps/wrappers.md | 42 tests/testthat/test-aliases.R | 13 tests/testthat/test-shade_p_value.R | 28 tests/testthat/test-visualize.R | 237 +- 85 files changed, 1742 insertions(+), 3858 deletions(-)
Title: Causal Inference with Spatio-Temporal Data
Description: Spatio-temporal causal inference based on point process data.
You provide the raw data of locations and timings of treatment and
outcome events, specify counterfactual scenarios, and the package
estimates causal effects over specified spatial and temporal windows.
See Papadogeorgou, et al. (2022) <doi:10.1111/rssb.12548>.
Author: Mitsuru Mukaigawara [cre, aut]
,
Georgia Papadogeorgou [aut] ,
Jason Lyall [aut] ,
Kosuke Imai [aut]
Maintainer: Mitsuru Mukaigawara <mitsuru_mukaigawara@g.harvard.edu>
Diff between geocausal versions 0.2.0 dated 2023-09-20 and 0.3.0 dated 2024-03-25
geocausal-0.2.0/geocausal/R/get_base_sum.R |only geocausal-0.2.0/geocausal/R/get_causal_cont.R |only geocausal-0.2.0/geocausal/R/get_dist_based_exp.R |only geocausal-0.2.0/geocausal/R/get_elevation.R |only geocausal-0.2.0/geocausal/R/get_smoothed_outcome.R |only geocausal-0.2.0/geocausal/R/vis_hfr.R |only geocausal-0.2.0/geocausal/R/vis_obs_dens.R |only geocausal-0.2.0/geocausal/man/get_base_sum.Rd |only geocausal-0.2.0/geocausal/man/get_causal_cont.Rd |only geocausal-0.2.0/geocausal/man/get_dist_based_exp.Rd |only geocausal-0.2.0/geocausal/man/get_elevation.Rd |only geocausal-0.2.0/geocausal/man/get_smoothed_outcome.Rd |only geocausal-0.2.0/geocausal/man/vis_hfr.Rd |only geocausal-0.2.0/geocausal/man/vis_obs_dens.Rd |only geocausal-0.3.0/geocausal/DESCRIPTION | 15 geocausal-0.3.0/geocausal/MD5 | 112 +++--- geocausal-0.3.0/geocausal/NAMESPACE | 13 geocausal-0.3.0/geocausal/NEWS.md | 10 geocausal-0.3.0/geocausal/R/data-airstrikes.R | 2 geocausal-0.3.0/geocausal/R/data-airstrikes_base.R | 4 geocausal-0.3.0/geocausal/R/data-insurgencies.R | 4 geocausal-0.3.0/geocausal/R/get_base_dens.R | 86 +--- geocausal-0.3.0/geocausal/R/get_cf_dens.R | 48 -- geocausal-0.3.0/geocausal/R/get_dist_focus.R | 95 +---- geocausal-0.3.0/geocausal/R/get_dist_line.R | 83 ---- geocausal-0.3.0/geocausal/R/get_distexp.R |only geocausal-0.3.0/geocausal/R/get_elev.R |only geocausal-0.3.0/geocausal/R/get_est.R |only geocausal-0.3.0/geocausal/R/get_estimates.R | 311 ++++-------------- geocausal-0.3.0/geocausal/R/get_hfr.R | 24 - geocausal-0.3.0/geocausal/R/get_hist.R | 22 - geocausal-0.3.0/geocausal/R/get_obs_dens.R | 32 - geocausal-0.3.0/geocausal/R/get_power_dens.R | 78 +--- geocausal-0.3.0/geocausal/R/get_var_bound.R |only geocausal-0.3.0/geocausal/R/get_weighted_surf.R |only geocausal-0.3.0/geocausal/R/get_window.R | 22 - geocausal-0.3.0/geocausal/R/globals.R | 4 geocausal-0.3.0/geocausal/R/plot.est.R |only geocausal-0.3.0/geocausal/R/plot.hyperframe.R |only geocausal-0.3.0/geocausal/R/plot.im.R |only geocausal-0.3.0/geocausal/R/plot.obs.R |only geocausal-0.3.0/geocausal/R/sim_cf_dens.R | 90 ++--- geocausal-0.3.0/geocausal/R/sim_power_dens.R | 91 +++-- geocausal-0.3.0/geocausal/R/smooth_ppp.R |only geocausal-0.3.0/geocausal/R/summary.est.R |only geocausal-0.3.0/geocausal/R/summary.obs.R |only geocausal-0.3.0/geocausal/README.md | 6 geocausal-0.3.0/geocausal/data/airstrikes.rda |binary geocausal-0.3.0/geocausal/data/airstrikes_base.rda |binary geocausal-0.3.0/geocausal/data/insurgencies.rda |binary geocausal-0.3.0/geocausal/man/airstrikes.Rd | 2 geocausal-0.3.0/geocausal/man/airstrikes_base.Rd | 4 geocausal-0.3.0/geocausal/man/get_base_dens.Rd | 14 geocausal-0.3.0/geocausal/man/get_cf_dens.Rd | 12 geocausal-0.3.0/geocausal/man/get_dist_focus.Rd | 23 - geocausal-0.3.0/geocausal/man/get_dist_line.Rd | 5 geocausal-0.3.0/geocausal/man/get_distexp.Rd |only geocausal-0.3.0/geocausal/man/get_elev.Rd |only geocausal-0.3.0/geocausal/man/get_est.Rd |only geocausal-0.3.0/geocausal/man/get_estimates.Rd | 55 +-- geocausal-0.3.0/geocausal/man/get_hfr.Rd | 20 - geocausal-0.3.0/geocausal/man/get_hist.Rd | 8 geocausal-0.3.0/geocausal/man/get_obs_dens.Rd | 15 geocausal-0.3.0/geocausal/man/get_power_dens.Rd | 23 - geocausal-0.3.0/geocausal/man/get_var_bound.Rd |only geocausal-0.3.0/geocausal/man/get_weighted_surf.Rd |only geocausal-0.3.0/geocausal/man/insurgencies.Rd | 4 geocausal-0.3.0/geocausal/man/plot.est.Rd |only geocausal-0.3.0/geocausal/man/plot.hyperframe.Rd |only geocausal-0.3.0/geocausal/man/plot.im.Rd |only geocausal-0.3.0/geocausal/man/plot.obs.Rd |only geocausal-0.3.0/geocausal/man/sim_cf_dens.Rd | 28 - geocausal-0.3.0/geocausal/man/sim_power_dens.Rd | 19 - geocausal-0.3.0/geocausal/man/smooth_ppp.Rd |only geocausal-0.3.0/geocausal/man/summary.est.Rd |only geocausal-0.3.0/geocausal/man/summary.obs.Rd |only 76 files changed, 508 insertions(+), 876 deletions(-)
Title: Create Interactive Web Maps Using 'The National Map' Services
Description: Creates interactive web maps using the 'JavaScript' 'Leaflet'
library with base layers of 'The National Map' ('TNM'). 'TNM' services
provide access to base geospatial information that describes the landscape
of the United States and its territories. This package is dependent on, and
intended to be used with, the 'leaflet' package.
Author: Jason C. Fisher [aut, cre] ,
Stefano Cudini [ctb, cph] ,
John Firebaugh [ctb, cph]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Diff between webmap versions 1.0.7 dated 2024-01-31 and 1.1.0 dated 2024-03-25
webmap-1.0.7/webmap/man/figures/basemap-imagery-only.png |only webmap-1.1.0/webmap/DESCRIPTION | 6 webmap-1.1.0/webmap/MD5 | 58 +- webmap-1.1.0/webmap/NEWS.md | 8 webmap-1.1.0/webmap/R/add_cluster_button.R | 6 webmap-1.1.0/webmap/R/add_fullscreen_button.R | 3 webmap-1.1.0/webmap/R/add_home_button.R | 6 webmap-1.1.0/webmap/R/add_legend.R | 20 - webmap-1.1.0/webmap/R/add_search_button.R | 8 webmap-1.1.0/webmap/R/make_map.R | 199 ++++++---- webmap-1.1.0/webmap/README.md | 69 +-- webmap-1.1.0/webmap/data/us_cities.rda |binary webmap-1.1.0/webmap/inst/CITATION | 9 webmap-1.1.0/webmap/inst/htmlwidgets/plugins/leaflet-fullscreen/fullscreen.png |binary webmap-1.1.0/webmap/inst/htmlwidgets/plugins/leaflet-fullscreen/fullscreen@2x.png |binary webmap-1.1.0/webmap/inst/htmlwidgets/plugins/leaflet-fullscreen/fullscreen@2x.svg |only webmap-1.1.0/webmap/inst/htmlwidgets/plugins/leaflet-search/leaflet-search.min.css | 7 webmap-1.1.0/webmap/inst/htmlwidgets/plugins/leaflet-search/leaflet-search.min.js | 6 webmap-1.1.0/webmap/man/add_cluster_button.Rd | 8 webmap-1.1.0/webmap/man/add_fullscreen_button.Rd | 5 webmap-1.1.0/webmap/man/add_home_button.Rd | 6 webmap-1.1.0/webmap/man/add_legend.Rd | 22 - webmap-1.1.0/webmap/man/add_search_button.Rd | 10 webmap-1.1.0/webmap/man/figures/basemap-blank.png |binary webmap-1.1.0/webmap/man/figures/basemap-hydrography.png |binary webmap-1.1.0/webmap/man/figures/basemap-imagery-topo.png |binary webmap-1.1.0/webmap/man/figures/basemap-imagery.png |only webmap-1.1.0/webmap/man/figures/basemap-osm.png |only webmap-1.1.0/webmap/man/figures/basemap-shaded-relief.png |binary webmap-1.1.0/webmap/man/figures/basemap-topo.png |binary webmap-1.1.0/webmap/man/figures/screenshot.png |binary webmap-1.1.0/webmap/man/make_map.Rd | 84 ++-- 32 files changed, 304 insertions(+), 236 deletions(-)
Title: Normality Test for Multivariate Variables
Description: Generalization of Shapiro-Wilk test for multivariate variables.
Author: Slawomir Jarek [aut, cre] ,
Grzegorz Jarek [ctb]
Maintainer: Slawomir Jarek <slawomir.jarek@uekat.pl>
Diff between mvnormtest versions 0.1-9 dated 2012-04-12 and 0.1-9-3 dated 2024-03-25
mvnormtest-0.1-9-3/mvnormtest/DESCRIPTION | 23 +++++++----- mvnormtest-0.1-9-3/mvnormtest/MD5 | 5 +- mvnormtest-0.1-9-3/mvnormtest/R/mshapiro.test.R | 46 ++++++++++++------------ mvnormtest-0.1-9/mvnormtest/INDEX |only 4 files changed, 39 insertions(+), 35 deletions(-)
More information about gamlss.ggplots at CRAN
Permanent link
Title: Estimating a Diet Matrix from Biotracer and Stomach Content Data
Description: Biotracers and stomach content analyses are combined in a Bayesian hierarchical model
to estimate a probabilistic topology matrix (all trophic link probabilities) and a diet matrix
(all diet proportions).
The package relies on the JAGS software and the 'jagsUI' package to run a Markov chain Monte Carlo
approximation of the different variables.
Author: Pierre-Yves Hernvann [cre, aut],
Didier Gascuel [aut],
Dorothee Kopp [aut],
Marianne Robert [aut],
Jerome Guitton [aut],
Etienne Rivot [aut],
Heloise Thero [aut]
Maintainer: Pierre-Yves Hernvann <pierre.yves.hernvann@gmail.com>
Diff between EcoDiet versions 2.0.0 dated 2023-01-06 and 2.0.1 dated 2024-03-25
DESCRIPTION | 6 MD5 | 24 +-- NEWS | 4 R/plot.R | 5 inst/CITATION | 12 - inst/doc/convergence_problems.html | 4 inst/doc/introduction_EcoDiet.Rmd | 4 inst/doc/introduction_EcoDiet.html | 68 ++++++---- inst/doc/realistic_example.R | 3 inst/doc/realistic_example.Rmd | 6 inst/doc/realistic_example.html | 233 +++++++++++++++++++------------------ vignettes/introduction_EcoDiet.Rmd | 4 vignettes/realistic_example.Rmd | 6 13 files changed, 206 insertions(+), 173 deletions(-)
Title: Cox MultiBlock Survival
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets.
It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis,
including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression,
Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies,
and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle
high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources
for interpreting results. While references are available within the corresponding functions,
key literature is mentioned below.
Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>,
Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>,
Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>,
Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
Author: Pedro Salguero Garcia [aut, cre, rev]
,
Sonia Tarazona Campos [ths],
Ana Conesa Cegarra [ths],
Kassu Mehari Beyene [ctb],
Luis Meira Machado [ctb],
Marta Sestelo [ctb],
Artur Araujo [ctb]
Maintainer: Pedro Salguero Garcia <pedrosalguerog@gmail.com>
Diff between Coxmos versions 1.0.1 dated 2024-03-22 and 1.0.2 dated 2024-03-25
DESCRIPTION | 6 MD5 | 20 - build/partial.rdb |binary inst/doc/Coxmos-MO-pipeline.R | 6 inst/doc/Coxmos-MO-pipeline.Rmd | 6 inst/doc/Coxmos-MO-pipeline.html | 472 ++++++++++++++++++++----------------- inst/doc/Coxmos-pipeline.R | 6 inst/doc/Coxmos-pipeline.Rmd | 6 inst/doc/Coxmos-pipeline.html | 494 +++++++++++++++++++++------------------ vignettes/Coxmos-MO-pipeline.Rmd | 6 vignettes/Coxmos-pipeline.Rmd | 6 11 files changed, 557 insertions(+), 471 deletions(-)
Title: Multivariate Joint Modeling for Longitudinal and Time-to-Event
Outcomes with 'INLA'
Description: Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).
Author: Denis Rustand [cre, aut] ,
Elias Teixeira Krainski [aut] ,
Haavard Rue [aut] ,
Janet van Niekerk [aut]
Maintainer: Denis Rustand <INLAjoint@gmail.com>
Diff between INLAjoint versions 24.2.4 dated 2024-02-04 and 24.3.25 dated 2024-03-25
INLAjoint-24.2.4/INLAjoint/R/Long.R |only INLAjoint-24.2.4/INLAjoint/R/Surv.R |only INLAjoint-24.2.4/INLAjoint/R/priors.used.R |only INLAjoint-24.2.4/INLAjoint/data/Long.RData |only INLAjoint-24.2.4/INLAjoint/data/Surv.RData |only INLAjoint-24.2.4/INLAjoint/man/Long.Rd |only INLAjoint-24.2.4/INLAjoint/man/Surv.Rd |only INLAjoint-24.2.4/INLAjoint/man/priors.used.Rd |only INLAjoint-24.3.25/INLAjoint/DESCRIPTION | 13 INLAjoint-24.3.25/INLAjoint/MD5 | 71 ++-- INLAjoint-24.3.25/INLAjoint/NAMESPACE | 16 INLAjoint-24.3.25/INLAjoint/R/INLAjoint.R | 5 INLAjoint-24.3.25/INLAjoint/R/INLAjoint.object.R | 32 + INLAjoint-24.3.25/INLAjoint/R/Longsim.R |only INLAjoint-24.3.25/INLAjoint/R/Survsim.R |only INLAjoint-24.3.25/INLAjoint/R/coef.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/family.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/fitted.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/fixef.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/formula.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/joint.R | 74 ++-- INLAjoint-24.3.25/INLAjoint/R/logLik.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/nobs.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/plot.INLAjoint.R | 175 +++++----- INLAjoint-24.3.25/INLAjoint/R/predict.INLAjoint.R | 244 ++++++++++++-- INLAjoint-24.3.25/INLAjoint/R/print.INLAjoint.R | 43 ++ INLAjoint-24.3.25/INLAjoint/R/print.plot.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/ranef.INLAjoint.R |only INLAjoint-24.3.25/INLAjoint/R/setupFonctions.R | 147 ++++++++ INLAjoint-24.3.25/INLAjoint/R/summary.INLAjoint.R | 11 INLAjoint-24.3.25/INLAjoint/README.md | 11 INLAjoint-24.3.25/INLAjoint/build/vignette.rds |binary INLAjoint-24.3.25/INLAjoint/data/Longsim.RData |only INLAjoint-24.3.25/INLAjoint/data/Survsim.RData |only INLAjoint-24.3.25/INLAjoint/inst/doc/INLAjoint.pdf |binary INLAjoint-24.3.25/INLAjoint/man/INLAjoint.Rd | 1 INLAjoint-24.3.25/INLAjoint/man/INLAjoint.ginv.Rd |only INLAjoint-24.3.25/INLAjoint/man/INLAjoint.object.Rd | 32 + INLAjoint-24.3.25/INLAjoint/man/INLAjoint.rw.Rd |only INLAjoint-24.3.25/INLAjoint/man/INLAjoint.rw2.Rd |only INLAjoint-24.3.25/INLAjoint/man/INLAjoint.scopy.define.Rd |only INLAjoint-24.3.25/INLAjoint/man/Longsim.Rd |only INLAjoint-24.3.25/INLAjoint/man/Survsim.Rd |only INLAjoint-24.3.25/INLAjoint/man/coef.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/family.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/fitted.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/fixef.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/formula.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/joint.Rd | 8 INLAjoint-24.3.25/INLAjoint/man/logLik.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/nobs.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/predict.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/print.plot.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/man/ranef.INLAjoint.Rd |only INLAjoint-24.3.25/INLAjoint/vignettes/INLAjoint.Rmd | 72 ++-- 55 files changed, 726 insertions(+), 229 deletions(-)
Title: Interpolation and Extrapolation with Beta Diversity for Three
Dimensions of Biodiversity
Description: As a sequel to 'iNEXT', the 'iNEXT.beta3D' package provides functions to compute
standardized taxonomic, phylogenetic, and functional diversity (3D) estimates
with a common sample size (for alpha and gamma diversity) or sample coverage
(for alpha, beta, gamma diversity as well as dissimilarity or turnover indices).
Hill numbers and their generalizations are used to quantify 3D and to make
multiplicative decomposition (gamma = alpha x beta). The package also features
size- and coverage-based rarefaction and extrapolation sampling curves to
facilitate rigorous comparison of beta diversity across datasets.
See Chao et al. (2023) <doi:10.1002/ecm.1588> for more details.
Author: Anne Chao [aut, cre],
KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
Diff between iNEXT.beta3D versions 1.0.0 dated 2024-02-23 and 1.0.1 dated 2024-03-25
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NAMESPACE | 1 + NEWS | 2 ++ R/MainFun.r | 40 ++++++++++++++++++++++++++++++++++++++-- inst/doc/Introduction.pdf |binary 6 files changed, 49 insertions(+), 10 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-12-18 0.1.0
Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] ,
Wush Wu [ctb],
Daijiang Li [ctb],
Xianying Tan [ctb],
Salim Brueggemann [ctb] ,
Christophe Dervieux [ctb],
Posit Software, PBC [cph, fnd]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between xfun versions 0.42 dated 2024-02-08 and 0.43 dated 2024-03-25
DESCRIPTION | 10 MD5 | 26 - NAMESPACE | 3 NEWS.md | 8 R/image.R | 74 ++++ R/markdown.R | 45 ++ R/packages.R | 5 R/record.R | 2 build/vignette.rds |binary inst/doc/xfun.Rmd | 18 - inst/doc/xfun.html | 690 ++++++++++++++-------------------------- man/fenced_block.Rd |only man/upload_imgur.Rd |only tests/test-cran/test-markdown.R | 20 + vignettes/xfun.Rmd | 18 - 15 files changed, 449 insertions(+), 470 deletions(-)
Title: Data Validation and Organization of Metadata for Local and
Remote Tables
Description: Validate data in data frames, 'tibble' objects, 'Spark'
'DataFrames', and database tables. Validation pipelines can be made using
easily-readable, consecutive validation steps. Upon execution of the
validation plan, several reporting options are available. User-defined
thresholds for failure rates allow for the determination of appropriate
reporting actions. Many other workflows are available including an
information management workflow, where the aim is to record, collect, and
generate useful information on data tables.
Author: Richard Iannone [aut, cre] ,
Mauricio Vargas [aut] ,
June Choe [aut]
Maintainer: Richard Iannone <rich@posit.co>
Diff between pointblank versions 0.12.0 dated 2024-03-01 and 0.12.1 dated 2024-03-25
DESCRIPTION | 6 - MD5 | 13 +- NEWS.md | 8 + R/interrogate.R | 10 - R/utils-tidyselect.R |only R/utils.R | 103 -------------------- tests/testthat/test-tidyselect_fails_safely.R | 42 +++----- tests/testthat/test-tidyselect_fails_safely_batch.R | 6 - 8 files changed, 44 insertions(+), 144 deletions(-)
Title: Expiry Estimation Procedures
Description: The Australian Regulatory Guidelines for Prescription
Medicines (ARGPM), guidance on "Stability testing for prescription
medicines", recommends to predict the shelf life of chemically derived
medicines from stability data by taking the worst case situation at batch
release into account. Consequently, if a change over time is observed,
a release limit needs to be specified. Finding a release limit and the
associated shelf life is supported, as well as the standard approach
that is recommended by guidance Q1E "Evaluation of stability data"
from the International Council for Harmonisation (ICH).
Author: Pius Dahinden [aut, cre],
Tillotts Pharma AG [cph, fnd]
Maintainer: Pius Dahinden <pius.dahinden@tillotts.com>
Diff between expirest versions 0.1.5 dated 2022-11-22 and 0.1.6 dated 2024-03-25
expirest-0.1.5/expirest/man/figures/README-example_1-1.png |only expirest-0.1.5/expirest/man/figures/README-example_2-1.png |only expirest-0.1.6/expirest/DESCRIPTION | 13 expirest-0.1.6/expirest/MD5 | 153 expirest-0.1.6/expirest/NAMESPACE | 5 expirest-0.1.6/expirest/NEWS.md | 39 expirest-0.1.6/expirest/R/expirest_osle.R | 909 -- expirest-0.1.6/expirest/R/expirest_wisle.R | 1270 --- expirest-0.1.6/expirest/R/generic.R | 120 expirest-0.1.6/expirest/R/utility.R | 3594 ++++++++-- expirest-0.1.6/expirest/README.md | 213 expirest-0.1.6/expirest/man/check_ancova.Rd | 28 expirest-0.1.6/expirest/man/compile_wisle_summary.Rd |only expirest-0.1.6/expirest/man/examples/examples_expirest_osle.R | 144 expirest-0.1.6/expirest/man/examples/examples_expirest_wisle.R | 153 expirest-0.1.6/expirest/man/examples/examples_plot.plot_expirest_osle.R | 29 expirest-0.1.6/expirest/man/examples/examples_plot.plot_expirest_wisle.R | 29 expirest-0.1.6/expirest/man/examples/examples_plot_expirest_osle.R | 71 expirest-0.1.6/expirest/man/examples/examples_plot_expirest_wisle.R | 73 expirest-0.1.6/expirest/man/examples/examples_print.expirest_osle.R | 115 expirest-0.1.6/expirest/man/examples/examples_print.expirest_wisle.R | 157 expirest-0.1.6/expirest/man/examples/examples_print.plot_expirest_osle.R | 29 expirest-0.1.6/expirest/man/examples/examples_print.plot_expirest_wisle.R | 29 expirest-0.1.6/expirest/man/examples/examples_summary.expirest_osle.R | 115 expirest-0.1.6/expirest/man/examples/examples_summary.expirest_wisle.R | 157 expirest-0.1.6/expirest/man/expirest_osle.Rd | 328 expirest-0.1.6/expirest/man/expirest_wisle.Rd | 360 - 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Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects,
statisticians and data scientists asynchronously
deploy long-running tasks to distributed systems,
ranging from traditional clusters to cloud services.
The 'NNG'-powered 'mirai' R package by Gao (2023)
<doi:10.5281/zenodo.7912722> is a sleek
and sophisticated scheduler that
efficiently processes these intense workloads.
The 'crew' package extends 'mirai' with a unifying
interface for third-party worker launchers.
Inspiration also comes from packages.
'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>,
'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>,
'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>),
and 'batchtools' by Lang, Bischel, and Surmann (2017)
<doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre]
,
Daniel Woodie [ctb],
Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>
Diff between crew versions 0.9.0 dated 2024-02-08 and 0.9.1 dated 2024-03-25
crew-0.9.0/crew/inst/doc/shiny.R |only crew-0.9.0/crew/vignettes/figures/completed1.png |only crew-0.9.0/crew/vignettes/figures/completed2.png |only crew-0.9.0/crew/vignettes/figures/open.png |only crew-0.9.0/crew/vignettes/figures/progress.png |only crew-0.9.0/crew/vignettes/figures/submitted.png |only crew-0.9.1/crew/DESCRIPTION | 8 crew-0.9.1/crew/MD5 | 39 - crew-0.9.1/crew/NEWS.md | 7 crew-0.9.1/crew/R/crew_controller.R | 20 crew-0.9.1/crew/R/crew_controller_group.R | 13 crew-0.9.1/crew/build/vignette.rds |binary crew-0.9.1/crew/inst/WORDLIST | 2 crew-0.9.1/crew/inst/doc/promises.Rmd | 18 crew-0.9.1/crew/inst/doc/promises.html | 162 +++-- crew-0.9.1/crew/inst/doc/shiny.Rmd | 171 +----- crew-0.9.1/crew/inst/doc/shiny.html | 329 ++++-------- crew-0.9.1/crew/man/crew_class_controller.Rd | 12 crew-0.9.1/crew/man/crew_class_controller_group.Rd | 10 crew-0.9.1/crew/tests/testthat/test-crew_controller_group.R | 41 + crew-0.9.1/crew/tests/testthat/test-crew_controller_local.R | 39 + crew-0.9.1/crew/vignettes/figures/app.png |only crew-0.9.1/crew/vignettes/promises.Rmd | 18 crew-0.9.1/crew/vignettes/shiny.Rmd | 171 +----- 24 files changed, 495 insertions(+), 565 deletions(-)
Title: Connect to Your 'Zendesk' Data
Description: Facilitates making a connection to the
'Zendesk' API and executing various queries. You can use it to
get ticket, ticket metrics, and user data. The 'Zendesk' documentation is
available at <https://developer.zendesk.com/rest_api
/docs/support/introduction>. This package is not supported by
'Zendesk' (owner of the software).
Author: Chris Umphlett [aut, cre],
Avinash Panigrahi [aut]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>
Diff between zdeskR versions 0.4.0 dated 2024-02-29 and 0.4.1 dated 2024-03-25
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/get_all_ticket_metrics.R | 32 +++++++++++++++++++++----------- man/get_all_ticket_metrics.Rd | 4 ++-- 4 files changed, 29 insertions(+), 19 deletions(-)
Title: Variational Bayesian Estimation for Diagnostic Classification
Models
Description: Enables computationally efficient parameters-estimation by variational Bayesian methods for various diagnostic classification models (DCMs). DCMs are a class of discrete latent variable models for classifying respondents into latent classes that typically represent distinct combinations of skills they possess. Recently, to meet the growing need of large-scale diagnostic measurement in the field of educational, psychological, and psychiatric measurements, variational Bayesian inference has been developed as a computationally efficient alternative to the Markov chain Monte Carlo methods, e.g., Yamaguchi and Okada (2020a) <doi:10.1007/s11336-020-09739-w>, Yamaguchi and Okada (2020b) <doi:10.3102/1076998620911934>, Yamaguchi (2020) <doi:10.1007/s41237-020-00104-w>, Oka and Okada (2023) <doi:10.1007/s11336-022-09884-4>, and Yamaguchi and Martinez (2023) <doi:10.1111/bmsp.12308>. To facilitate their applications, 'variationalDCM' is developed to provide a collec [...truncated...]
Author: Keiichiro Hijikata [aut, cre],
Motonori Oka [aut] ,
Kazuhiro Yamaguchi [aut] ,
Kensuke Okada [aut]
Maintainer: Keiichiro Hijikata <k.hijikata.1120@outlook.jp>
Diff between variationalDCM versions 2.0.0 dated 2024-03-13 and 2.0.1 dated 2024-03-25
variationalDCM-2.0.0/variationalDCM/data/mc_sim_Q.rda |only variationalDCM-2.0.1/variationalDCM/DESCRIPTION | 15 - variationalDCM-2.0.1/variationalDCM/MD5 | 30 +-- variationalDCM-2.0.1/variationalDCM/NEWS.md | 13 + variationalDCM-2.0.1/variationalDCM/R/dina.R | 10 - variationalDCM-2.0.1/variationalDCM/R/hm_dcm.R | 96 +++++----- variationalDCM-2.0.1/variationalDCM/R/mc_dina.R | 8 variationalDCM-2.0.1/variationalDCM/R/variationalDCM.R | 6 variationalDCM-2.0.1/variationalDCM/README.md | 2 variationalDCM-2.0.1/variationalDCM/data/mc_sim_Q_J30K5.rda |only variationalDCM-2.0.1/variationalDCM/inst/doc/my-vignette.Rmd | 2 variationalDCM-2.0.1/variationalDCM/inst/doc/my-vignette.html | 6 variationalDCM-2.0.1/variationalDCM/man/dina_data_gen.Rd | 8 variationalDCM-2.0.1/variationalDCM/man/hm_dcm_data_gen.Rd | 10 - variationalDCM-2.0.1/variationalDCM/man/mc_dina_data_gen.Rd | 8 variationalDCM-2.0.1/variationalDCM/man/variationalDCM.Rd | 13 - variationalDCM-2.0.1/variationalDCM/vignettes/my-vignette.Rmd | 2 17 files changed, 117 insertions(+), 112 deletions(-)
More information about variationalDCM at CRAN
Permanent link
Title: Split, Combine and Compress PDF Files
Description: Content-preserving transformations transformations of PDF files such
as split, combine, and compress. This package interfaces directly to the 'qpdf'
C++ API and does not require any command line utilities. Note that 'qpdf' does
not read actual content from PDF files: to extract text and data you need the
'pdftools' package.
Author: Jeroen Ooms [aut, cre] ,
Ben Raymond [ctb],
Jay Berkenbilt [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between qpdf versions 1.3.2 dated 2023-03-17 and 1.3.3 dated 2024-03-25
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS | 3 +++ src/bindings.cpp | 3 ++- src/include/qpdf/PointerHolder.hh | 2 +- 5 files changed, 13 insertions(+), 9 deletions(-)
Title: Densities and Sampling for the Skellam Distribution
Description: Functions for the Skellam distribution, including: density
(pmf), cdf, quantiles and regression.
Author: Jerry W. Lewis <Jerry.Lewis@biogen.com>, Patrick E. Brown <patrick.brown@utoronto.ca>, Michail Tsagris <mtsagris@yahoo.gr>
Maintainer: Patrick E. Brown <patrick.brown@utoronto.ca>
Diff between skellam versions 0.2.0 dated 2016-12-15 and 0.2.3 dated 2024-03-25
skellam-0.2.0/skellam/vignettes/Makefile |only skellam-0.2.3/skellam/DESCRIPTION | 20 +++++++++----------- skellam-0.2.3/skellam/MD5 | 22 +++++++++++----------- skellam-0.2.3/skellam/R/dskellam.r | 2 +- skellam-0.2.3/skellam/build/vignette.rds |binary skellam-0.2.3/skellam/inst/CITATION | 2 +- skellam-0.2.3/skellam/inst/doc/skellam.R |only skellam-0.2.3/skellam/inst/doc/skellam.pdf |binary skellam-0.2.3/skellam/inst/doc/skellam.rnw | 7 ------- skellam-0.2.3/skellam/man/skellam.Rd | 17 +++++++++-------- skellam-0.2.3/skellam/man/skellam.mle.Rd | 2 +- skellam-0.2.3/skellam/man/skellam.reg.Rd | 2 +- skellam-0.2.3/skellam/vignettes/skellam.rnw | 7 ------- 13 files changed, 33 insertions(+), 48 deletions(-)
Title: NFL Logo Plots in 'ggplot2' and 'gt'
Description: A set of functions to visualize National Football League
analysis in 'ggplot2' plots and 'gt' tables.
Author: Sebastian Carl [aut, cre]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>
Diff between nflplotR versions 1.3.0 dated 2024-02-23 and 1.3.1 dated 2024-03-25
nflplotR-1.3.0/nflplotR/tests/testthat/setup.R |only nflplotR-1.3.1/nflplotR/DESCRIPTION | 6 nflplotR-1.3.1/nflplotR/MD5 | 23 nflplotR-1.3.1/nflplotR/NEWS.md | 4 nflplotR-1.3.1/nflplotR/R/theme-elements.R | 744 ++++------ nflplotR-1.3.1/nflplotR/R/zzz.R | 134 - nflplotR-1.3.1/nflplotR/man/element.Rd | 374 ++--- nflplotR-1.3.1/nflplotR/tests/testthat/_snaps/geom_nfl_logos/p1.svg | 22 nflplotR-1.3.1/nflplotR/tests/testthat/_snaps/geom_nfl_logos/p2.svg | 24 nflplotR-1.3.1/nflplotR/tests/testthat/_snaps/geom_nfl_logos/p3.svg | 22 nflplotR-1.3.1/nflplotR/tests/testthat/_snaps/geom_nfl_wordmarks/p1.svg | 32 nflplotR-1.3.1/nflplotR/tests/testthat/_snaps/geom_nfl_wordmarks/p2.svg | 32 nflplotR-1.3.1/nflplotR/tests/testthat/test-nfl_team_tiers.R | 57 13 files changed, 734 insertions(+), 740 deletions(-)
Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate
efficient programming, saving time and memory. It aims to provide
'cheaper' alternatives to common base R functions, as well as some
additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>
Diff between cheapr versions 0.3.0 dated 2024-03-18 and 0.4.0 dated 2024-03-25
DESCRIPTION | 6 - MD5 | 38 +++---- NAMESPACE | 8 + NEWS.md | 16 ++- R/cpp11.R | 16 +++ R/extras.R | 14 -- R/lists.R | 8 - R/overview.R | 168 +++++++++++++++++++------------ R/sequences.R | 12 -- R/sset.R |only R/utils.R | 47 +------- R/zzz.R | 6 - README.md | 152 ++++++++++++++++++---------- man/overview.Rd | 53 +++++++-- man/sset.Rd |only src/cpp11.cpp | 32 ++++++ src/nas.cpp | 19 +-- src/sequences.cpp | 77 +++++++++++++- src/utils.cpp | 202 +++++++++++++++++++++++++++++--------- tests/testthat/_snaps/overview.md | 101 ++++++++++++++++--- tests/testthat/test-overview.R | 21 +++ 21 files changed, 699 insertions(+), 297 deletions(-)
Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate
R process, without affecting the current R process at all. This
packages does exactly that.
Author: Gabor Csardi [aut, cre, cph] ,
Winston Chang [aut],
Posit Software, PBC [cph, fnd],
Ascent Digital Services [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Diff between callr versions 3.7.4 dated 2024-02-19 and 3.7.6 dated 2024-03-25
callr-3.7.4/callr/R/errors.R |only callr-3.7.6/callr/DESCRIPTION | 16 ++-- callr-3.7.6/callr/LICENSE | 4 - callr-3.7.6/callr/MD5 | 50 ++++++------- callr-3.7.6/callr/NEWS.md | 11 ++ callr-3.7.6/callr/R/load-client.R | 2 callr-3.7.6/callr/R/standalone-errors.R |only callr-3.7.6/callr/R/test-helpers.R |only callr-3.7.6/callr/R/x-client.R | 2 callr-3.7.6/callr/README.md | 13 +++ callr-3.7.6/callr/inst/COPYRIGHTS |only callr-3.7.6/callr/inst/WORDLIST | 4 + callr-3.7.6/callr/man/callr-package.Rd | 20 ++++- callr-3.7.6/callr/tests/testthat.R | 13 ++- callr-3.7.6/callr/tests/testthat/helper.R | 6 + callr-3.7.6/callr/tests/testthat/test-bugs.R | 1 callr-3.7.6/callr/tests/testthat/test-clean-subprocess.R | 3 callr-3.7.6/callr/tests/testthat/test-error.R | 6 + callr-3.7.6/callr/tests/testthat/test-eval.R | 2 callr-3.7.6/callr/tests/testthat/test-libpath.R | 6 + callr-3.7.6/callr/tests/testthat/test-load-client.R | 25 ++++++ callr-3.7.6/callr/tests/testthat/test-messages.R | 2 callr-3.7.6/callr/tests/testthat/test-presets.R | 2 callr-3.7.6/callr/tests/testthat/test-r-session-messages.R | 2 callr-3.7.6/callr/tests/testthat/test-r-session.R | 2 callr-3.7.6/callr/tests/testthat/test-rcmd.R | 2 callr-3.7.6/callr/tests/testthat/test-spelling.R | 1 callr-3.7.6/callr/tests/testthat/test-utils.R | 2 28 files changed, 156 insertions(+), 41 deletions(-)
Title: Composite Indicators Functions
Description: A collection of functions to calculate Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps, as described in OECD Handbook on constructing composite indicators: methodology and user guide <https://www.oecd-ilibrary.org/economics/handbook-on-constructing-composite-indicators-methodology-and-user-guide_9789264043466-en>, 'Vidoli' and 'Fusco' and 'Mazziotta' <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016) <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge' <doi:10.1016/j.ejor.2016.07.038> and other authors.
Author: Francesco Vidoli, Elisa Fusco
Maintainer: Francesco Vidoli <fvidoli@gmail.com>
Diff between Compind versions 3.0 dated 2024-01-08 and 3.1 dated 2024-03-25
DESCRIPTION | 10 +- MD5 | 12 +- NAMESPACE | 92 +++++++++---------- NEWS | 245 ++++++++++++++++++++++++++-------------------------- R/ci_rbod_mdir.r |only build/vignette.rds |binary man/ci_bod_mdir.Rd | 2 man/ci_rbod_mdir.Rd |only 8 files changed, 187 insertions(+), 174 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://www.transitionmonitor.com/>). 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: Alex Axthelm [aut, cre] ,
Jackson Hoffart [aut, ctr] ,
Mauro Lepore [aut, ctr] ,
Klaus Hagedorn [aut],
Florence Palandri [aut],
Evgeny Petrovsky [aut],
Rocky Mountain Institute [cph, fnd]
Maintainer: Alex Axthelm <aaxthelm@rmi.org>
Diff between r2dii.match versions 0.1.4 dated 2023-10-23 and 0.2.0 dated 2024-03-25
DESCRIPTION | 9 MD5 | 39 ++-- NEWS.md | 6 R/add_sector_and_borderline.R | 23 +- R/imports.R | 4 R/match_name.R | 179 ++++++++++++++++--- R/prioritize.R | 23 -- R/restructure_abcd.R | 9 README.md | 75 +++----- inst/WORDLIST | 1 man/match_name.Rd | 31 ++- tests/testthat/_snaps/add_sector_and_borderline.md | 62 +++--- tests/testthat/_snaps/helper-fake_lbk.md | 12 - tests/testthat/_snaps/match_name.md | 68 +++---- tests/testthat/helper-expect_names_match_name.R | 3 tests/testthat/helper-fake_lbk.R | 2 tests/testthat/helper-skip_if_r2dii_data_outdated.R |only tests/testthat/test-add_sector_and_borderline.R | 2 tests/testthat/test-match_name.R | 184 +++++++++++++++++--- tests/testthat/test-prioritize.R | 11 + tests/testthat/test-to_alias.R | 4 21 files changed, 518 insertions(+), 229 deletions(-)
Title: Probabilistic Forecast Combination Using CRPS Learning
Description: Combine probabilistic forecasts using CRPS learning algorithms proposed in Berrisch, Ziel (2021) <arXiv:2102.00968> <doi:10.1016/j.jeconom.2021.11.008>. The package implements multiple online learning algorithms like Bernstein online aggregation; see Wintenberger (2014) <arXiv:1404.1356>. Quantile regression is also implemented for comparison purposes. Model parameters can be tuned automatically with respect to the loss of the forecast combination. Methods like predict(), update(), plot() and print() are available for convenience. This package utilizes the optim C++ library for numeric optimization <https://github.com/kthohr/optim>.
Author: Jonathan Berrisch [aut, cre] ,
Florian Ziel [aut]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>
Diff between profoc versions 1.3.1 dated 2024-01-13 and 1.3.2 dated 2024-03-25
profoc-1.3.1/profoc/inst/include/clock.h |only profoc-1.3.2/profoc/DESCRIPTION | 12 +++--- profoc-1.3.2/profoc/MD5 | 25 ++++++------ profoc-1.3.2/profoc/NEWS.md | 7 +++ profoc-1.3.2/profoc/R/online.R | 7 ++- profoc-1.3.2/profoc/build/partial.rdb |binary profoc-1.3.2/profoc/build/vignette.rds |binary profoc-1.3.2/profoc/inst/doc/class.html | 4 +- profoc-1.3.2/profoc/inst/doc/production.html | 4 +- profoc-1.3.2/profoc/inst/doc/profoc.html | 8 ++-- profoc-1.3.2/profoc/inst/include/conline.h | 7 ++- profoc-1.3.2/profoc/man/online.Rd | 6 ++- profoc-1.3.2/profoc/src/conline.cpp | 52 ++++++++++++++++++--------- profoc-1.3.2/profoc/src/conline_exports.cpp | 1 14 files changed, 83 insertions(+), 50 deletions(-)
Title: Statistical Network Analysis of Animal Social Networks
Description: Obtain network structures from animal GPS telemetry observations and
statistically analyse them to assess their adequacy for social network analysis. Methods include
pre-network data permutations, bootstrapping techniques to obtain confidence intervals
for global and node-level network metrics, and correlation and regression analysis of the local network metrics.
Author: Prabhleen Kaur [aut, cre],
Michael Salter-Townshend [ctb]
Maintainer: Prabhleen Kaur <prabhleen.kaur.ucd@gmail.com>
Diff between aniSNA versions 1.1.0 dated 2023-12-21 and 1.1.1 dated 2024-03-25
aniSNA-1.1.0/aniSNA/man/obtain_global_confidence_intervals.Rd |only aniSNA-1.1.0/aniSNA/man/obtain_node_level_CI.Rd |only aniSNA-1.1.0/aniSNA/man/subsamples_permuted_networks.Rd |only aniSNA-1.1.1/aniSNA/DESCRIPTION | 12 +-- aniSNA-1.1.1/aniSNA/MD5 | 40 +++++----- aniSNA-1.1.1/aniSNA/NAMESPACE | 6 - aniSNA-1.1.1/aniSNA/NEWS.md | 6 + aniSNA-1.1.1/aniSNA/R/data_stream_permutations.R | 9 +- aniSNA-1.1.1/aniSNA/R/get_interactions.R | 3 aniSNA-1.1.1/aniSNA/R/get_network_summary.R | 3 aniSNA-1.1.1/aniSNA/R/global_confidence_intervals.R | 27 ++++-- aniSNA-1.1.1/aniSNA/R/helpers_for_bootstrapping.R | 30 +++---- aniSNA-1.1.1/aniSNA/R/helpers_for_node_level_CI.R | 4 - aniSNA-1.1.1/aniSNA/R/node_level_confidence_intervals.R | 21 +++-- aniSNA-1.1.1/aniSNA/R/subsample_permuted_networks.R | 12 +-- aniSNA-1.1.1/aniSNA/R/subsampling_analysis.R | 5 - aniSNA-1.1.1/aniSNA/data/elk_network_2010.rda |binary aniSNA-1.1.1/aniSNA/man/get_coordinates_in_radian.Rd | 7 + aniSNA-1.1.1/aniSNA/man/global_CI.Rd |only aniSNA-1.1.1/aniSNA/man/global_width_CI.Rd | 11 +- aniSNA-1.1.1/aniSNA/man/node_level_CI.Rd |only aniSNA-1.1.1/aniSNA/man/plot.Subsampled_Permuted_Network_Metrics.Rd | 8 +- aniSNA-1.1.1/aniSNA/man/plot.list_node_level_CI.Rd | 6 - aniSNA-1.1.1/aniSNA/man/subsampled_permuted_network_metrics.Rd |only 24 files changed, 112 insertions(+), 98 deletions(-)
Title: General Resampling Infrastructure
Description: Classes and functions to create and summarize different types
of resampling objects (e.g. bootstrap, cross-validation).
Author: Hannah Frick [aut, cre] ,
Fanny Chow [aut],
Max Kuhn [aut],
Michael Mahoney [aut] ,
Julia Silge [aut] ,
Hadley Wickham [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>
Diff between rsample versions 1.2.0 dated 2023-08-23 and 1.2.1 dated 2024-03-25
DESCRIPTION | 8 +++--- MD5 | 26 +++++++++++----------- NAMESPACE | 1 NEWS.md | 7 +++++ R/nest.R | 9 ++++++- R/printing.R | 13 +++++++++++ README.md | 4 +-- build/vignette.rds |binary inst/doc/Common_Patterns.R | 2 - inst/doc/Common_Patterns.html | 2 - inst/doc/Working_with_rsets.html | 2 - inst/doc/rsample.html | 2 - tests/testthat/_snaps/initial_validation_split.md | 6 ++--- tests/testthat/test-nesting.R | 15 ++++++++++++ 14 files changed, 70 insertions(+), 27 deletions(-)
Title: Straightforward 'NetCDF' Metadata
Description: Extract metadata from 'NetCDF' data sources, these can be files, file handles or
servers. This package leverages and extends the lower level functions of the 'RNetCDF' package
providing a consistent set of functions that all return data frames. We introduce named concepts
of 'grid', 'axis' and 'source' which are all meaningful entities without formal definition in the
'NetCDF' library <https://www.unidata.ucar.edu/software/netcdf/>. 'RNetCDF' matches the library
itself with only the named concepts of 'variables', 'dimensions' and 'attributes'.
Author: Michael Sumner [aut, cre],
Tomas Remenyi [ctb],
Ben Raymond [ctb],
David Blodgett [ctb],
Milton Woods [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Diff between ncmeta versions 0.3.6 dated 2023-11-01 and 0.4.0 dated 2024-03-25
DESCRIPTION | 13 +++++++------ MD5 | 14 ++++++++------ NAMESPACE | 4 ++++ NEWS.md | 4 ++++ R/nc_extended.R |only R/nc_meta.R | 12 +++++++----- man/nc_extended.Rd |only man/ncmeta-package.Rd | 1 + tests/testthat/test-attributes.R | 16 ++++++++-------- 9 files changed, 39 insertions(+), 25 deletions(-)
Title: Scatter Plot Combined with Ridgelines in 'ggplot2'
Description: The function combines a scatter plot with ridgelines to better visualise the distribution between sample groups. The plot is created with 'ggplot2'.
Author: Matthieu Bourgery [aut, cre]
Maintainer: Matthieu Bourgery <matthieu.bourgery@gmail.com>
Diff between ggScatRidges versions 0.1.0 dated 2023-11-20 and 0.1.1 dated 2024-03-25
DESCRIPTION | 11 +- MD5 | 8 - NAMESPACE | 1 R/Scatter_ridges_function.R | 185 +++++++++++++++++++++++++++++++------------- man/ggScatRidges.Rd | 39 +++++++-- 5 files changed, 173 insertions(+), 71 deletions(-)
Title: Feature Attributions for ClusTering
Description: We present 'FACT' (Feature Attributions for ClusTering), a
framework for unsupervised interpretation methods that can be used with an
arbitrary clustering algorithm. The package is capable of re-assigning instances to
clusters (algorithm agnostic), preserves the integrity of the data and does
not introduce additional models. 'FACT' is inspired by the principles of
model-agnostic interpretation in supervised learning. Therefore, some of the
methods presented are based on 'iml', a R Package for Interpretable Machine
Learning by Christoph Molnar, Giuseppe Casalicchio, and Bernd Bischl (2018)
<doi:10.21105/joss.00786>.
Author: Henri Funk [aut, cre],
Christian Scholbeck [aut, ctb],
Giuseppe Casalicchio [aut, ctb]
Maintainer: Henri Funk <Henri.Funk@stat.uni-muenchen.de>
Diff between FACT versions 0.1.0 dated 2023-03-16 and 0.1.1 dated 2024-03-25
DESCRIPTION | 10 +++++----- MD5 | 16 ++++++++-------- NAMESPACE | 1 - NEWS.md | 5 +++++ R/ClustPredictor.R | 8 +------- R/SMART.R | 4 ++-- R/classification_measure.R | 2 +- README.md | 22 +++++++++++++++------- man/figures/README-unnamed-chunk-5-1.png |binary 9 files changed, 37 insertions(+), 31 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-03-11 0.1.0
Title: Measuring Ecosystem Multi-Functionality and Its Decomposition
Description: Provide simple functions to (i) compute a class of
multi-functionality measures for a single ecosystem for given
function weights, (ii) decompose gamma multi-functionality
for multiple ecosystems into a within-ecosystem component
(alpha multi-functionality) and an among-ecosystem component
(beta multi-functionality). In each case, the correlation
between functions can be corrected for. Based on biodiversity
and ecosystem function data, this software also facilitates
graphics for assessing biodiversity-ecosystem functioning
relationships across scales.
Author: Anne Chao [aut, cre],
Chun-Yu Liu [ctb],
KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
Diff between MF.beta4 versions 1.0.1 dated 2023-12-15 and 1.0.2 dated 2024-03-25
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NAMESPACE | 1 + NEWS | 7 +++++++ R/Mainfun.plot.R | 36 +++++++++++++++++++++++++++++++++++- inst/doc/Introduction.pdf |binary 6 files changed, 51 insertions(+), 9 deletions(-)
Title: Interpolation and Extrapolation for Three Dimensions of
Biodiversity
Description: Biodiversity is a multifaceted concept covering different levels of organization from
genes to ecosystems. 'iNEXT.3D' extends 'iNEXT' to include three dimensions (3D)
of biodiversity, i.e., taxonomic diversity (TD), phylogenetic diversity (PD) and functional
diversity (FD). This package provides functions to compute standardized 3D diversity estimates
with a common sample size or sample coverage. A unified framework based on Hill numbers
and their generalizations (Hill-Chao numbers) are used to quantify 3D. All 3D estimates
are in the same units of species/lineage equivalents and can be meaningfully compared.
The package features size- and coverage-based rarefaction and extrapolation sampling
curves to facilitate rigorous comparison of 3D diversity across individual assemblages.
Asymptotic 3D diversity estimates are also provided. See Chao et al. (2021)
<doi:10.1111/2041-210X.13682> for more details.
Author: Anne Chao [aut, cre],
KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
Diff between iNEXT.3D versions 1.0.2 dated 2024-03-02 and 1.0.3 dated 2024-03-25
DESCRIPTION | 6 ++--- MD5 | 10 ++++----- NAMESPACE | 1 NEWS | 7 ++++++ R/MainFun.r | 50 +++++++++++++++++++++++++++++++++++++++++++--- inst/doc/Introduction.pdf |binary 6 files changed, 63 insertions(+), 11 deletions(-)
Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre]
,
Antonio Castro [aut, ctb],
Heraldo Borges [aut, ths],
Diego Carvalho [aut, ths],
Joel Santos [aut, ths],
Eduardo Bezerra [aut, ths],
Rafaelli Coutinho [aut, ths],
Federal Center for Technological Education of Rio d [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between daltoolbox versions 1.0.727 dated 2023-10-25 and 1.0.747 dated 2024-03-25
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- R/graphics.R | 2 ++ R/trans_sample.R | 5 +++-- R/ts_sample.R | 4 ++-- README.md | 19 +++++++++++++++++-- man/train_test.Rd | 4 +++- man/ts_sample.Rd | 4 ++-- 8 files changed, 40 insertions(+), 20 deletions(-)
Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network
and provides functionality for geometrical operations,
data analysis and modelling of data on a linear network,
in the 'spatstat' family of packages.
Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks.
Data types defined on a network include point patterns, pixel images, functions, and tessellations.
Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph]
,
Rolf Turner [aut, cph] ,
Ege Rubak [aut, cph] ,
Greg McSwiggan [aut, cph],
Tilman Davies [ctb, cph],
Mehdi Moradi [ctb, cph],
Suman Rakshit [ctb, cph],
Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Diff between spatstat.linnet versions 3.1-4 dated 2024-02-04 and 3.1-5 dated 2024-03-25
DESCRIPTION | 16 ++++++++-------- MD5 | 10 +++++----- NEWS | 13 +++++++++++++ R/linnet.R | 4 ++-- R/lpp.R | 7 +++++-- inst/doc/packagesizes.txt | 2 ++ 6 files changed, 35 insertions(+), 17 deletions(-)
More information about spatstat.linnet at CRAN
Permanent link
Title: A 'Linter' for R Code
Description: Checks adherence to a given style, syntax errors and possible
semantic issues. Supports on the fly checking of R code edited with
'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual
Studio Code'.
Author: Jim Hester [aut],
Florent Angly [aut] ,
Russ Hyde [aut],
Michael Chirico [aut, cre],
Kun Ren [aut],
Alexander Rosenstock [aut] ,
Indrajeet Patil [aut]
Maintainer: Michael Chirico <michaelchirico4@gmail.com>
Diff between lintr versions 3.1.1 dated 2023-11-07 and 3.1.2 dated 2024-03-25
DESCRIPTION | 18 +- MD5 | 59 +++---- NEWS.md | 24 ++ R/backport_linter.R | 19 +- R/consecutive_assertion_linter.R | 19 +- R/duplicate_argument_linter.R | 32 ++- R/expect_comparison_linter.R | 2 R/missing_argument_linter.R | 7 R/unnecessary_lambda_linter.R | 4 R/unreachable_code_linter.R | 2 R/vector_logic_linter.R | 4 R/xp_utils.R | 12 + build/lintr.pdf |binary build/stage23.rdb |binary build/vignette.rds |binary inst/doc/creating_linters.html | 4 inst/doc/lintr.html | 2 inst/syntastic/lintr.vim | 2 man/lintr-package.Rd | 4 tests/testthat/test-consecutive_assertion_linter.R | 32 +++ tests/testthat/test-duplicate_argument_linter.R | 176 ++++++++++++++++++++- tests/testthat/test-exclusions.R | 2 tests/testthat/test-expect_comparison_linter.R | 3 tests/testthat/test-get_source_expressions.R | 8 tests/testthat/test-missing_argument_linter.R | 47 +++++ tests/testthat/test-object_name_linter.R | 2 tests/testthat/test-paren_brace_linter.R | 2 tests/testthat/test-unnecessary_lambda_linter.R | 4 tests/testthat/test-unreachable_code_linter.R | 44 +++++ tests/testthat/test-vector_logic_linter.R | 91 +++++----- tests/testthat/testthat-problems.rds |only 31 files changed, 493 insertions(+), 132 deletions(-)
Title: Scientific Journal and Sci-Fi Themed Color Palettes for
'ggplot2'
Description: A collection of 'ggplot2' color palettes inspired by
plots in scientific journals, data visualization libraries,
science fiction movies, and TV shows.
Author: Nan Xiao [aut, cre] ,
Joshua Cook [ctb],
Clara Jegousse [ctb],
Miaozhu Li [ctb]
Maintainer: Nan Xiao <me@nanx.me>
Diff between ggsci versions 3.0.2 dated 2024-03-17 and 3.0.3 dated 2024-03-25
DESCRIPTION | 6 +++--- MD5 | 43 ++++++++++++++++++++++--------------------- NEWS.md | 8 ++++++++ R/discrete-aaas.R | 12 ++++++++++-- R/discrete-cosmic.R | 12 ++++++++++-- R/discrete-d3.R | 12 ++++++++++-- R/discrete-flatui.R | 12 ++++++++++-- R/discrete-frontiers.R | 12 ++++++++++-- R/discrete-futurama.R | 12 ++++++++++-- R/discrete-igv.R | 12 ++++++++++-- R/discrete-jama.R | 12 ++++++++++-- R/discrete-jco.R | 12 ++++++++++-- R/discrete-lancet.R | 12 ++++++++++-- R/discrete-locuszoom.R | 12 ++++++++++-- R/discrete-nejm.R | 12 ++++++++++-- R/discrete-npg.R | 12 ++++++++++-- R/discrete-rickandmorty.R | 12 ++++++++++-- R/discrete-simpsons.R | 12 ++++++++++-- R/discrete-startrek.R | 12 ++++++++++-- R/discrete-tron.R | 12 ++++++++++-- R/discrete-uchicago.R | 12 ++++++++++-- R/discrete-ucscgb.R | 12 ++++++++++-- R/utils.R |only 23 files changed, 223 insertions(+), 62 deletions(-)
Title: Modeling and Forecasting Visitor Counts Using Social Media
Description: Performs modeling and forecasting of park visitor counts
using social media data and (partial) on-site visitor counts.
Specifically, the model is built based on an automatic decomposition
of the trend and seasonal components of the social media-based park visitor counts,
from which short-term forecasts of the visitor counts and percent changes
in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at
'Russell Goebel', Austin Schmaltz, 'Beth Ann Brackett', Spencer A. Wood, 'Kimihiro Noguchi' (2023) <doi:10.1002/for.2965> .
Author: Robert Bowen [aut, cre],
Russell Goebel [aut],
Beth Ann Brackett [ctb],
Kimihiro Noguchi [aut],
Dylan Way [aut]
Maintainer: Robert Bowen <robertbowen.bham@gmail.com>
Diff between VisitorCounts versions 1.0.2 dated 2023-02-03 and 2.0.0 dated 2024-03-25
DESCRIPTION | 27 +- MD5 | 65 ++-- NAMESPACE | 7 NEWS.md | 26 + R/classes.R | 100 ++++++- R/function_visitation_model.R | 418 ++++++++++++++++++++++--------- R/methods_plot.R | 358 ++++++++++++++++++++++++-- R/methods_predict.R | 69 +++-- R/methods_print.R | 38 +- R/methods_summary.R | 38 +- README.md | 50 +-- build/vignette.rds |binary inst/WORDLIST |only inst/doc/VisitorCounts.R | 22 - inst/doc/VisitorCounts.Rmd | 12 inst/doc/VisitorCounts.html | 273 ++++++++++---------- man/check_arguments.Rd | 18 - man/decompose_proxy.Rd | 44 +-- man/estimate_parameters.Rd | 23 - man/figures/README-unnamed-chunk-8-1.png |binary man/fit_model.Rd | 8 man/label_visitation_forecast.Rd |only man/new_visitation_forecast.Rd | 19 + man/new_visitation_forecast_ensemble.Rd |only man/new_visitation_model.Rd | 6 man/plot.visitation_forecast.Rd | 37 ++ man/plot.visitation_forecast_ensemble.Rd |only man/predict.visitation_model.Rd | 11 man/prediction_warning.Rd |only man/trim_training_data.Rd |only man/visitation_model.Rd | 68 ++--- tests/spelling.R |only tests/testthat.R | 2 tests/testthat/test_lag.R | 1 tests/testthat/test_predict.R | 51 ++- tests/testthat/test_trim_inputs_vm.R |only tests/testthat/test_vm_log_boolean.R |only vignettes/VisitorCounts.Rmd | 12 38 files changed, 1248 insertions(+), 555 deletions(-)
Title: High-Dimensional Shrinkage Optimal Portfolios
Description: Constructs shrinkage estimators of high-dimensional mean-variance portfolios and performs
high-dimensional tests on optimality of a given portfolio. The techniques developed in
Bodnar et al. (2018 <doi:10.1016/j.ejor.2017.09.028>, 2019 <doi:10.1109/TSP.2019.2929964>,
2020 <doi:10.1109/TSP.2020.3037369>, 2021 <doi:10.1080/07350015.2021.2004897>)
are central to the package. They provide simple and feasible estimators and tests for optimal
portfolio weights, which are applicable for 'large p and large n' situations where p is the
portfolio dimension (number of stocks) and n is the sample size. The package also includes tools
for constructing portfolios based on shrinkage estimators of the mean vector and covariance matrix
as well as a new Bayesian estimator for the Markowitz efficient frontier recently developed by
Bauder et al. (2021) <doi:10.1080/14697688.2020.1748214>.
Author: Taras Bodnar [aut] ,
Solomiia Dmytriv [aut] ,
Yarema Okhrin [aut] ,
Dmitry Otryakhin [aut, cre] ,
Nestor Parolya [aut]
Maintainer: Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch>
Diff between HDShOP versions 0.1.3 dated 2022-11-08 and 0.1.5 dated 2024-03-25
DESCRIPTION | 15 - MD5 | 90 +++++---- NAMESPACE | 1 NEWS.md |only R/BDOPS_2020.R | 33 ++- R/BOP_2019.R | 27 +- R/Class_ExUtil_portfolio.R | 7 R/HDShOP-package.R | 38 ++-- R/Matrix_shrink.R | 124 +++++++------ R/Mean_shrink.R | 65 ++++--- R/Plot_frontier.R | 93 ++++++---- R/S3_custom_portfol.R | 115 ++++++++---- R/S3_tradit_portfol.R | 23 +- R/S3_weights_portfol.R | 163 ++++++++++-------- R/T_alpha_statistics.R | 14 - R/data.R | 8 R/dispatchers.R | 71 ++++--- R/random_cov_matrix.R | 50 ----- build/partial.rdb |binary inst/REFERENCES.bib | 38 ++-- man/Class_MeanVar_portfolio.Rd | 7 man/CovShrinkBGP14.Rd | 20 +- man/CovarEstim.Rd | 4 man/HDShOP-package.Rd | 51 ++++- man/InvCovShrinkBGP16.Rd | 22 +- man/MVShrinkPortfolio.Rd | 51 +++-- man/MeanEstim.Rd | 11 - man/MeanVar_portfolio.Rd | 33 ++- man/SP_daily_asset_returns.Rd | 8 man/mean_bop19.Rd | 25 +- man/mean_bs.Rd | 16 + man/mean_js.Rd | 14 - man/new_GMV_portfolio_weights_BDPS19.Rd | 36 ++- man/new_MV_portfolio_traditional.Rd | 21 +- man/new_MV_portfolio_weights_BDOPS21.Rd | 43 ++-- man/new_MeanVar_portfolio.Rd | 17 + man/nonlin_shrinkLW.Rd | 12 - man/plot_frontier.Rd | 43 ++-- man/test_MVSP.Rd | 15 - man/validate_MeanVar_portfolio.Rd | 3 tests/testthat/test_MVShrinkportfolio.R |only tests/testthat/test_T_stat.R | 14 - tests/testthat/test_alphas.R |only tests/testthat/test_custom_portfolio.R |only tests/testthat/test_naive_covar_estims.R | 14 - tests/testthat/test_portf_prototypes_on_data_frames.R | 4 tests/testthat/test_portf_prototypes_on_matrices.R | 4 tests/testthat/test_shrink_covar_methods.R | 4 48 files changed, 843 insertions(+), 624 deletions(-)
Title: Analysis and Search of Crossover Designs
Description: Generate and analyse crossover designs from combinatorial or search algorithms as well as from literature and a GUI to
access them.
Author: Kornelius Rohmeyer
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>
Diff between Crossover versions 0.1-21 dated 2023-03-14 and 0.1-22 dated 2024-03-25
DESCRIPTION | 9 +++++---- MD5 | 10 +++++----- NEWS | 4 ++++ R/onLoad.R | 2 +- build/vignette.rds |binary inst/doc/Crossover.pdf |binary 6 files changed, 15 insertions(+), 10 deletions(-)