Title: Templated Word and PowerPoint Reporting of 'nlmixr2' Fitting
Results
Description: This allows you to generate reporting workflows around 'nlmixr2' analyses with outputs in Word and PowerPoint. You can specify figures, tables and report structure in a user-definable 'YAML' file. Also you can use the internal functions to access the figures and tables to allow their including in other outputs (e.g. R Markdown).
Author: John Harrold [aut, cre]
Maintainer: John Harrold <john.m.harrold@gmail.com>
Diff between nlmixr2rpt versions 0.2.1 dated 2025-07-17 and 0.2.2 dated 2025-10-11
DESCRIPTION | 12 ++--- MD5 | 24 ++++++----- NAMESPACE | 1 NEWS.md | 9 +++- R/build_figures.R | 59 ++++++++++++++++++++++------- R/build_tables.R | 8 +-- R/rptnlmixr.R | 13 ++++++ inst/doc/Accessing_Figures_and_Tables.html | 7 +-- inst/doc/Reporting_nlmixr_Fit_Results.Rmd | 2 inst/doc/Reporting_nlmixr_Fit_Results.html | 27 ++++++++++--- inst/examples/pptx_test.R |only inst/templates/report_fit.yaml | 15 ++++++- man/safe_text.Rd |only vignettes/Reporting_nlmixr_Fit_Results.Rmd | 2 14 files changed, 132 insertions(+), 47 deletions(-)
Title: A Toolkit for Omics Data Visualization
Description: Provides a suite of tools for the comprehensive visualization of multi-omics data, including genomics, transcriptomics, and proteomics. Offers user-friendly functions to generate publication-quality plots, thereby facilitating the exploration and interpretation of complex biological datasets. Supports seamless integration with popular R visualization frameworks and is well-suited for both exploratory data analysis and the presentation of final results. Key formats and methods are presented in Huang, S., et al. (2024) "The Born in Guangzhou Cohort Study enables generational genetic discoveries" <doi:10.1038/s41586-023-06988-4>.
Author: Zhen Lu [aut, cre]
Maintainer: Zhen Lu <luzh29@mail2.sysu.edu.cn>
Diff between omixVizR versions 1.1.3 dated 2025-07-20 and 1.4.0 dated 2025-10-11
DESCRIPTION | 12 +++++++----- LICENSE | 4 ++-- MD5 | 28 ++++++++++++++++++---------- NAMESPACE | 23 +++++++++++++++++++++++ NEWS.md | 24 ++++++++++++++++++++++++ R/MR_2SLS.R |only R/gwas_power.R | 36 ++++++++++++++++++++++++++---------- R/gwas_qqman.R | 32 ++++++++++++++++++++++---------- R/omixVizR-package.R | 3 ++- R/plot_forest.R |only R/plot_heatmap.R |only inst/WORDLIST | 27 ++++++++++++++++++++++++++- man/MR_2SLS.Rd |only man/plot_forest.Rd |only man/plot_gwas_power.Rd | 10 ++++------ man/plot_heatmap.Rd |only man/plot_qqman.Rd | 15 ++++++++------- tests/testthat/test-MR_2SLS.R |only tests/testthat/test-plot_forest.R |only 19 files changed, 162 insertions(+), 52 deletions(-)
Title: Statistical Depth Functions for Multivariate Analysis
Description: Data depth concept offers a variety of powerful and user friendly
tools for robust exploration and inference for multivariate data. The offered
techniques may be successfully used in cases of lack of our knowledge on
parametric models generating data due to their nature. The
package consist of among others implementations of several data depth techniques
involving multivariate quantile-quantile plots, multivariate scatter estimators,
multivariate Wilcoxon tests and robust regressions.
Author: Zygmunt Zawadzki [aut, cre],
Daniel Kosiorowski [aut],
Krzysztof Slomczynski [ctb],
Mateusz Bocian [ctb],
Anna Wegrzynkiewicz [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>
Diff between DepthProc versions 2.1.5 dated 2022-02-03 and 2.1.6 dated 2025-10-11
DESCRIPTION | 9 ++++----- MD5 | 32 ++++++++++++++++---------------- R/DepthBasedTests.R | 8 +++++++- R/asymmetrycurve.R | 8 +++++++- R/functional_boxplot.R | 10 +++++----- README.md | 12 +++--------- build/partial.rdb |binary inst/CITATION | 12 +++++++----- man/asymmetryCurve.Rd | 8 +++++++- man/figures/README-contour-1.png |binary man/figures/README-fncBox-1.png |binary man/figures/README-persp-1.png |binary man/fncBoxPlot.Rd | 6 +++--- man/mWilcoxonTest.Rd | 8 +++++++- src/Depth.cpp | 2 +- src/Makevars | 1 - src/Makevars.win | 1 - 17 files changed, 67 insertions(+), 50 deletions(-)
Title: An Import Mechanism for R
Description: Alternative mechanism for importing objects from packages
and R modules. The syntax allows for importing multiple objects with a single
command in an expressive way. The import package bridges some of the gap
between using library (or require) and direct (single-object) imports.
Furthermore the imported objects are not placed in the current environment.
Author: Stefan Milton Bache [aut],
Magnus Thor Torfason [aut, cre]
Maintainer: Magnus Thor Torfason <m@zulutime.net>
Diff between import versions 1.3.2 dated 2024-01-21 and 1.3.3 dated 2025-10-11
import-1.3.2/import/vignettes/import.png |only import-1.3.3/import/DESCRIPTION | 11 import-1.3.3/import/MD5 | 32 - import-1.3.3/import/NEWS.md | 12 import-1.3.3/import/R/from.R | 6 import-1.3.3/import/R/import.R | 6 import-1.3.3/import/R/safe_assign.R | 3 import-1.3.3/import/build/build_and_release_process.R | 4 import-1.3.3/import/build/vignette.rds |binary import-1.3.3/import/inst/WORDLIST | 3 import-1.3.3/import/inst/doc/import.R | 416 +++++++++--------- import-1.3.3/import/inst/doc/import.Rmd | 5 import-1.3.3/import/inst/doc/import.html | 10 import-1.3.3/import/man/figures/logo.png |only import-1.3.3/import/man/import.Rd | 8 import-1.3.3/import/man/importfunctions.Rd | 6 import-1.3.3/import/tests/test_import/test_from.R | 8 import-1.3.3/import/vignettes/import.Rmd | 5 18 files changed, 280 insertions(+), 255 deletions(-)
Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to assist in key steps involved in any data
analysis workflow: (1) wrangling the raw data to get it in the needed form,
(2) applying preprocessing steps and statistical transformations, and
(3) compute statistical summaries of data properties and distributions.
It is also the data wrangling backend for packages in 'easystats' ecosystem.
References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Author: Indrajeet Patil [aut] ,
Etienne Bacher [aut, cre] ,
Dominique Makowski [aut] ,
Daniel Luedecke [aut] ,
Mattan S. Ben-Shachar [aut] ,
Brenton M. Wiernik [aut] ,
Remi Theriault [ctb] ,
Thomas J. Faulkenberry [rev],
Robert Garrett [rev]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>
Diff between datawizard versions 1.2.0 dated 2025-07-17 and 1.3.0 dated 2025-10-11
DESCRIPTION | 13 LICENSE | 4 MD5 | 487 ++--- NAMESPACE | 4 NEWS.md | 2108 ++++++++++++------------ R/adjust.R | 434 ++-- R/assign_labels.R | 335 ++- R/categorize.R | 927 +++++----- R/center.R | 659 ++++--- R/contrs.R | 198 +- R/convert_na_to.R | 420 ++-- R/convert_to_na.R | 420 ++-- R/data.R | 42 R/data_addprefix.R | 136 - R/data_arrange.R | 272 +-- R/data_codebook.R | 1074 ++++++------ R/data_duplicated.R | 201 +- R/data_extract.R | 301 +-- R/data_group.R | 158 - R/data_match.R | 764 ++++---- R/data_merge.R | 817 ++++----- R/data_modify.R | 1276 +++++++------- R/data_partition.R | 319 +-- R/data_peek.R | 281 +-- R/data_read.R | 983 +++++------ R/data_relocate.R | 340 ++- R/data_remove.R | 74 R/data_rename.R | 568 +++--- R/data_replicate.R | 246 +- R/data_rescale.R | 696 ++++--- R/data_restoretype.R | 100 - R/data_reverse.R | 612 +++--- R/data_rotate.R | 192 +- R/data_seek.R | 358 ++-- R/data_select.R | 84 R/data_separate.R | 833 ++++----- R/data_summary.R | 482 ++--- R/data_tabulate.R | 490 ++++- R/data_to_long.R | 748 ++++---- R/data_to_wide.R | 892 +++++----- R/data_unique.R | 295 +-- R/data_unite.R | 230 +- R/data_write.R | 658 +++---- R/data_xtabulate.R | 260 ++ R/datawizard-package.R | 42 R/demean.R | 1115 ++++++------ R/describe_distribution.R | 1513 +++++++++-------- R/descriptives.R | 382 ++-- R/extract_column_names.R | 358 ++-- R/format.R | 192 +- R/labels_to_levels.R | 211 +- R/makepredictcall.R | 163 - R/mean_sd.R | 171 + R/means_by_group.R | 621 +++---- R/normalize.R | 613 +++--- R/ranktransform.R | 397 ++-- R/recode_into.R | 592 +++--- R/recode_values.R | 1096 ++++++------ R/remove_empty.R | 249 +- R/replace_nan_inf.R | 124 - R/rescale_weights.R | 876 +++++---- R/reshape_ci.R | 265 +-- R/row_count.R | 257 +- R/row_means.R | 411 ++-- R/select_nse.R | 1399 ++++++++------- R/skewness_kurtosis.R | 948 +++++----- R/slide.R | 207 +- R/smoothness.R | 262 +- R/standardize.R | 830 ++++----- R/standardize.models.R | 1092 ++++++------ R/text_format.R | 300 +-- R/to_factor.R | 276 +-- R/to_numeric.R | 637 +++---- R/unnormalize.R | 319 +-- R/unstandardize.R | 615 +++---- R/utils-cols.R | 183 +- R/utils-rows.R | 290 +-- R/utils.R | 53 R/utils_labels.R | 173 + R/utils_standardize_center.R | 958 ++++++---- R/visualisation_recipe.R | 177 +- R/weighted_mean_median_sd_mad.R | 301 +-- R/winsorize.R | 295 +-- build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 24 inst/WORDLIST | 20 inst/doc/overview_of_vignettes.R | 22 inst/doc/overview_of_vignettes.Rmd | 74 inst/doc/overview_of_vignettes.html | 566 +++--- man/adjust.Rd | 2 man/as.prop.table.Rd |only man/assign_labels.Rd | 296 +-- man/categorize.Rd | 528 +++--- man/center.Rd | 400 ++-- man/coef_var.Rd | 186 +- man/coerce_to_numeric.Rd | 44 man/colnames.Rd | 100 - man/contr.deviation.Rd | 2 man/convert_na_to.Rd | 344 +-- man/convert_to_na.Rd | 252 +- man/data_arrange.Rd | 70 man/data_codebook.Rd | 18 man/data_duplicated.Rd | 218 +- man/data_extract.Rd | 294 +-- man/data_group.Rd | 2 man/data_merge.Rd | 412 ++-- man/data_partition.Rd | 168 - man/data_peek.Rd | 210 +- man/data_prefix_suffix.Rd | 214 +- man/data_relocate.Rd | 310 +-- man/data_replicate.Rd | 200 +- man/data_restoretype.Rd | 70 man/data_rotate.Rd | 136 - man/data_seek.Rd | 136 - man/data_separate.Rd | 454 ++--- man/data_summary.Rd | 134 - man/data_tabulate.Rd | 80 man/data_to_long.Rd | 2 man/data_to_wide.Rd | 64 man/data_unique.Rd | 214 +- man/data_unite.Rd | 232 +- man/datawizard-package.Rd | 102 - man/describe_distribution.Rd | 7 man/distribution_mode.Rd | 60 man/dot-is_deprecated.Rd | 38 man/efc.Rd | 24 man/extract_column_names.Rd | 398 ++-- man/labels_to_levels.Rd | 240 +- man/makepredictcall.dw_transformer.Rd | 106 - man/mean_sd.Rd | 98 - man/means_by_group.Rd | 264 +-- man/nhanes_sample.Rd | 28 man/normalize.Rd | 372 ++-- man/ranktransform.Rd | 288 +-- man/recode_into.Rd | 252 +- man/recode_values.Rd | 598 +++--- man/replace_nan_inf.Rd | 64 man/rescale.Rd | 390 ++-- man/rescale_weights.Rd | 2 man/reshape_ci.Rd | 76 man/reverse.Rd | 300 +-- man/row_count.Rd | 274 +-- man/row_means.Rd | 336 +-- man/rownames.Rd | 110 - man/skewness.Rd | 296 +-- man/slide.Rd | 288 +-- man/smoothness.Rd | 74 man/standardize.Rd | 584 +++--- man/standardize.default.Rd | 200 +- man/text_format.Rd | 162 - man/to_factor.Rd | 268 +-- man/to_numeric.Rd | 290 +-- man/visualisation_recipe.Rd | 60 man/weighted_mean.Rd | 112 - man/winsorize.Rd | 196 +- tests/testthat.R | 8 tests/testthat/_snaps/data_codebook.md | 1488 +++++++++------- tests/testthat/_snaps/data_read.md | 240 +- tests/testthat/_snaps/data_tabulate.md | 354 ++-- tests/testthat/_snaps/describe_distribution.md | 258 +- tests/testthat/_snaps/windows/means_by_group.md | 68 tests/testthat/helper-state.R | 173 + tests/testthat/helper.R | 6 tests/testthat/test-adjust.R | 90 - tests/testthat/test-assign_labels.R | 124 - tests/testthat/test-attributes-grouped-df.R | 132 - tests/testthat/test-attributes.R | 360 ++-- tests/testthat/test-categorize.R | 945 +++++++--- tests/testthat/test-center.R | 392 ++-- tests/testthat/test-coef_var.R | 77 tests/testthat/test-contr.deviation.R | 64 tests/testthat/test-convert_na_to.R | 903 +++++----- tests/testthat/test-convert_to_na.R | 329 ++- tests/testthat/test-data_addprefix.R | 96 - tests/testthat/test-data_arrange.R | 293 +-- tests/testthat/test-data_codebook.R | 475 ++--- tests/testthat/test-data_duplicated.R | 224 +- tests/testthat/test-data_extract.R | 328 +-- tests/testthat/test-data_group.R | 190 +- tests/testthat/test-data_match.R | 721 ++++---- tests/testthat/test-data_merge.R | 602 +++--- tests/testthat/test-data_modify.R | 1908 +++++++++++---------- tests/testthat/test-data_partition.R | 271 +-- tests/testthat/test-data_peek.R | 70 tests/testthat/test-data_read.R | 1159 +++++++------ tests/testthat/test-data_recode.R | 809 +++++---- tests/testthat/test-data_relocate.R | 263 +- tests/testthat/test-data_remove.R | 261 +- tests/testthat/test-data_rename.R | 459 ++--- tests/testthat/test-data_reorder.R | 58 tests/testthat/test-data_replicate.R | 159 + tests/testthat/test-data_rescale.R | 416 ++-- tests/testthat/test-data_restoretype.R | 68 tests/testthat/test-data_reverse.R | 1026 ++++++----- tests/testthat/test-data_rotate.R | 182 +- tests/testthat/test-data_seek.R | 170 + tests/testthat/test-data_select.R | 865 ++++----- tests/testthat/test-data_separate.R | 753 ++++---- tests/testthat/test-data_shift.R | 78 tests/testthat/test-data_summary.R | 567 +++--- tests/testthat/test-data_tabulate.R | 676 ++++++- tests/testthat/test-data_to_factor.R | 381 ++-- tests/testthat/test-data_to_long.R | 1051 ++++++----- tests/testthat/test-data_to_numeric.R | 486 +++-- tests/testthat/test-data_to_wide.R | 1203 +++++++------ tests/testthat/test-data_unique.R | 338 +-- tests/testthat/test-data_unite.R | 368 ++-- tests/testthat/test-data_write.R | 312 +-- tests/testthat/test-demean.R | 610 ++++-- tests/testthat/test-describe_distribution.R | 939 ++++++---- tests/testthat/test-distributions.R | 24 tests/testthat/test-empty-dataframe.R | 148 - tests/testthat/test-extract_column_names.R | 384 ++-- tests/testthat/test-labelled_data.R | 775 ++++---- tests/testthat/test-labels_to_levels.R | 302 +-- tests/testthat/test-makepredictcall.R | 134 - tests/testthat/test-mean_sd.R | 47 tests/testthat/test-means_by_group.R | 58 tests/testthat/test-normalize.R | 481 ++--- tests/testthat/test-print.dw_transformer.R | 14 tests/testthat/test-ranktransform.R | 284 +-- tests/testthat/test-recode_into.R | 762 +++++--- tests/testthat/test-replace_nan_inf.R | 78 tests/testthat/test-rescale_weights.R | 311 +-- tests/testthat/test-reshape_ci.R | 54 tests/testthat/test-row_count.R | 156 + tests/testthat/test-row_means.R | 115 - tests/testthat/test-select_nse.R | 334 +-- tests/testthat/test-skewness-kurtosis.R | 180 +- tests/testthat/test-smoothness.R | 66 tests/testthat/test-standardize-data.R | 778 ++++---- tests/testthat/test-standardize_datagrid.R | 35 tests/testthat/test-standardize_models.R | 834 +++++---- tests/testthat/test-std_center.R | 392 ++-- tests/testthat/test-std_center_scale_args.R | 126 - tests/testthat/test-text_format.R | 170 - tests/testthat/test-unnormalize.R | 284 +-- tests/testthat/test-utils.R | 92 - tests/testthat/test-utils_cols.R | 232 +- tests/testthat/test-utils_rows.R | 447 ++--- tests/testthat/test-weighted-stats.R | 86 tests/testthat/test-winsorization.R | 99 - vignettes/bibliography.bib | 358 ++-- vignettes/overview_of_vignettes.Rmd | 74 245 files changed, 46446 insertions(+), 40323 deletions(-)
Title: Cumulative History Analysis for Bistable Perception Time Series
Description: Estimates cumulative history for time-series for continuously
viewed bistable perceptual rivalry displays. Computes cumulative history
via a homogeneous first order differential process. I.e., it assumes
exponential growth/decay of the history as a function time and perceptually
dominant state, Pastukhov & Braun (2011) <doi:10.1167/11.10.12>.
Supports Gamma, log normal, and normal distribution families.
Provides a method to compute history directly and example of using the
computation on a custom Stan code.
Author: Alexander Pastukhov [aut, cre]
Maintainer: Alexander Pastukhov <pastukhov.alexander@gmail.com>
Diff between bistablehistory versions 1.1.2 dated 2023-09-13 and 1.1.3 dated 2025-10-11
DESCRIPTION | 12 MD5 | 24 build/partial.rdb |binary build/vignette.rds |binary inst/doc/cumulative-history.html | 13 inst/doc/usage-examples.R | 56 inst/doc/usage-examples.html | 10 inst/doc/writing-stan-code.R | 66 inst/doc/writing-stan-code.html | 1 man/bistablehistory-package.Rd | 1 man/waic.cumhist.Rd | 2 src/stanExports_historylm.cc | 34 src/stanExports_historylm.h | 3510 +++++++++++++++++++-------------------- 13 files changed, 1902 insertions(+), 1827 deletions(-)
More information about bistablehistory at CRAN
Permanent link
Title: Point Process Models with LASSO-Type Penalties
Description: Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) <doi:10.1111/j.1541-0420.2012.01824.x>. Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.
Author: Ian Renner [aut, cre]
Maintainer: Ian Renner <Ian.Renner@newcastle.edu.au>
Diff between ppmlasso versions 1.4 dated 2024-01-31 and 1.5 dated 2025-10-11
ppmlasso-1.4/ppmlasso/R/ppmlasso |only ppmlasso-1.5/ppmlasso/DESCRIPTION | 16 ++++-- ppmlasso-1.5/ppmlasso/MD5 | 58 +++---------------------- ppmlasso-1.5/ppmlasso/NAMESPACE | 12 ++--- ppmlasso-1.5/ppmlasso/R/ppmlasso_functions.R | 2 ppmlasso-1.5/ppmlasso/data/BlueMountains.RData |binary ppmlasso-1.5/ppmlasso/inst/NEWS | 4 - ppmlasso-1.5/ppmlasso/man/envelope-methods.Rd | 2 ppmlasso-1.5/ppmlasso/man/ppmlasso.Rd | 4 - 9 files changed, 29 insertions(+), 69 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-10-14 0.99.3
Title: Additional Tools for Developing Spatially Explicit Discrete
Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling
tools for developing cellular automata, dynamic raster models, and
agent based models in 'SpaDES'. Included are various methods for
spatial spreading, spatial agents, GIS operations, random map
generation, and others. See '?SpaDES.tools' for an categorized
overview of these additional tools. The suggested package 'NLMR' can
be installed from the following repository:
(<https://PredictiveEcology.r-universe.dev>).
Author: Eliot J B McIntire [aut] ,
Alex M Chubaty [aut, cre] ,
Yong Luo [ctb],
Ceres Barros [ctb] ,
Steve Cumming [ctb],
Jean Marchal [ctb],
His Majesty the King in Right of Canada, as represented by the Minister
of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <achubaty@for-cast.ca>
Diff between SpaDES.tools versions 2.0.7 dated 2024-05-15 and 2.0.8 dated 2025-10-11
DESCRIPTION | 65 +-- MD5 | 19 NEWS.md | 13 R/distanceFromEachPoint.R | 42 + R/reexports.R |only R/spread.R | 76 +-- R/spread2.R | 13 inst/WORDLIST | 16 man/spread.Rd | 2 man/spread2.Rd | 12 tests/testthat/test-spread.R | 917 +++++++++++++++++++++++++++++++------------ 11 files changed, 815 insertions(+), 360 deletions(-)
Title: The 'HighFive' 'C++' Interface to 'HDF5'
Description: A modern idiomatic header-only 'C++'' interface for 'libhdf5'. Original software can be found at <https://github.com/highfive-devs/highfive/>.
Author: Andrew Robbins [aut, cre] ,
Luc Grosheintz [aut] ,
Blue Brain Project/EPFL [aut]
Maintainer: Andrew Robbins <robbiand@umich.edu>
Diff between HighFive versions 3.1.0 dated 2025-07-22 and 3.2.0 dated 2025-10-11
DESCRIPTION | 10 ++++++---- MD5 | 12 ++++++------ NEWS.md | 5 +++++ inst/include/highfive/H5DataType.hpp | 22 ++++++++++++++++++++++ inst/include/highfive/H5Version.hpp | 6 +++--- inst/include/highfive/bits/H5DataType_misc.hpp | 12 ++++++++++++ inst/include/highfive/bits/h5t_wrapper.hpp | 8 ++++++++ 7 files changed, 62 insertions(+), 13 deletions(-)
Title: Health Economic Simulation Modeling and Decision Analysis
Description: A modular and computationally efficient R package for
parameterizing, simulating, and analyzing health economic simulation
models. The package supports cohort discrete time state transition models
(Briggs et al. 1998) <doi:10.2165/00019053-199813040-00003>,
N-state partitioned survival models (Glasziou et al. 1990)
<doi:10.1002/sim.4780091106>, and individual-level continuous
time state transition models (Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014>,
encompassing both Markov (time-homogeneous and time-inhomogeneous) and
semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is
quantified with standard graphical and tabular summaries of a probabilistic
sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>,
<doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table
make individual-patient simulation, probabilistic sensitivity analysis,
and incorporation of patient heterogeneity fast.
Author: Devin Incerti [aut, cre],
Jeroen P. Jansen [aut],
Mark Clements [aut],
R Core Team [ctb]
Maintainer: Devin Incerti <devin.incerti@gmail.com>
Diff between hesim versions 0.5.6 dated 2025-09-28 and 0.5.7 dated 2025-10-11
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Title: A Future API for Parallel Processing using 'callr'
Description: Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the 'callr' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, on your local (Linux, macOS, Windows, ...) machine. Contrary to backends relying on the 'parallel' package (e.g. 'future::multisession') and socket connections, the 'callr' backend provided here can run more than 125 parallel R processes.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between future.callr versions 0.10.1 dated 2025-07-10 and 0.10.2 dated 2025-10-11
DESCRIPTION | 8 ++-- MD5 | 50 ++++++++++++++-------------- NEWS.md | 15 ++++++++ R/CallrFutureBackend-class.R | 17 ++++++++- R/package.R | 6 ++- inst/WORDLIST | 1 inst/doc/future.callr.html | 10 ++--- inst/doc/future.callr.md.rsp | 8 ++-- inst/testme/test-callr,launch-failure.R | 4 +- inst/testme/test-callr,worker-termination.R | 4 +- inst/testme/test-demo.R | 4 +- inst/testme/test-dotdotdot.R | 1 inst/testme/test-future,labels.R | 1 inst/testme/test-future,lazy.R | 1 inst/testme/test-globals,formulas.R | 8 ++-- inst/testme/test-globals,manual.R | 4 +- inst/testme/test-globals,subassignment.R | 4 +- inst/testme/test-globals,tricky.R | 4 +- inst/testme/test-nbrOfWorkers.R | 4 +- inst/testme/test-plan.R | 7 ++- inst/testme/test-rng.R | 4 +- inst/testme/test-stdout.R | 4 +- inst/testme/test-zzz,future_lapply.R | 1 man/CallrFutureBackend.Rd | 2 - man/future.callr.Rd | 6 ++- vignettes/future.callr.md.rsp | 8 ++-- 26 files changed, 112 insertions(+), 74 deletions(-)
Title: Primal or Dual Cone Projections with Routines for Constrained
Regression
Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.
Author: Mary C. Meyer [aut],
Xiyue Liao [aut, cre]
Maintainer: Xiyue Liao <xliao@sdsu.edu>
Diff between coneproj versions 1.20 dated 2025-02-19 and 1.21 dated 2025-10-11
ChangeLog | 8 DESCRIPTION | 12 - MD5 | 10 - NAMESPACE | 2 R/coneproj.R | 8 src/coneproj.cpp | 441 ++++++++++++++++++++++++++++++------------------------- 6 files changed, 266 insertions(+), 215 deletions(-)
Title: ACSS, Corresponding INSS, and GLP Algorithms
Description: Allow user to run the Adaptive Correlated Spike and Slab (ACSS) algorithm, corresponding INdependent Spike and Slab (INSS) algorithm, and Giannone, Lenza and Primiceri (GLP) algorithm with adaptive burn-in.
All of the three algorithms are used to fit high dimensional data set with either sparse structure, or dense structure with smaller contributions from all predictors.
The state-of-the-art GLP algorithm is in Giannone, D., Lenza, M., & Primiceri, G. E. (2021, ISBN:978-92-899-4542-4)
"Economic predictions with big data: The illusion of sparsity".
The two new algorithms, ACSS algorithm and INSS algorithm, and the discussion on their performance can be seen in
Yang, Z., Khare, K., & Michailidis, G. (2024, submitted to Journal of Business & Economic Statistics) "Bayesian methodology for adaptive sparsity and shrinkage in regression".
Author: Ziqian Yang [cre, aut],
Kshitij Khare [aut],
George Michailidis [aut]
Maintainer: Ziqian Yang <zi.yang@ufl.edu>
Diff between ACSSpack versions 0.0.1.4 dated 2024-07-04 and 1.0.0.2 dated 2025-10-11
ACSSpack-0.0.1.4/ACSSpack/R/E1.R |only ACSSpack-1.0.0.2/ACSSpack/DESCRIPTION | 14 ++-- ACSSpack-1.0.0.2/ACSSpack/MD5 | 12 +-- ACSSpack-1.0.0.2/ACSSpack/R/E3.R |only ACSSpack-1.0.0.2/ACSSpack/R/main_fun.R | 97 +++++++++++++++++++++++-------- ACSSpack-1.0.0.2/ACSSpack/man/ACSS_gs.Rd | 26 ++++++-- ACSSpack-1.0.0.2/ACSSpack/man/GLP_gs.Rd | 13 ++-- ACSSpack-1.0.0.2/ACSSpack/man/INSS_gs.Rd | 26 ++++++-- 8 files changed, 132 insertions(+), 56 deletions(-)