Title: 'Coroutines' for R
Description: Provides 'coroutines' for R, a family of functions that can
be suspended and resumed later on. This includes 'async' functions
(which await) and generators (which yield). 'Async' functions are
based on the concurrency framework of the 'promises' package.
Generators are based on a dependency free iteration protocol defined
in 'coro' and are compatible with iterators from the 'reticulate'
package.
Author: Lionel Henry [aut, cre],
Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>
Diff between coro versions 1.0.5 dated 2024-10-15 and 1.1.0 dated 2024-11-05
DESCRIPTION | 6 MD5 | 44 ++--- NEWS.md | 20 ++ R/generator.R | 99 ++++++++++- R/iterator-collect.R | 2 R/iterator.R | 21 ++ R/parser.R | 13 - R/step-reduce.R | 3 R/utils.R | 5 inst/doc/generator.html | 4 man/coro-package.Rd | 1 man/generator.Rd | 10 - man/iterator.Rd | 14 + tests/testthat/_snaps/async.md | 10 - tests/testthat/_snaps/generator.md | 4 tests/testthat/_snaps/parser-block.md | 130 ++++++++++++++- tests/testthat/_snaps/parser-if.md | 34 ++-- tests/testthat/_snaps/parser-loop.md | 46 +++-- tests/testthat/_snaps/parser.md | 83 +++++---- tests/testthat/test-async.R | 44 +++++ tests/testthat/test-generator.R | 285 ++++++++++++++++++++++++++-------- tests/testthat/test-parser-block.R | 4 tests/testthat/test-parser-if.R | 1 23 files changed, 685 insertions(+), 198 deletions(-)
Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with
binary, multi-category, or continuous point or longitudinal treatments by easing and
extending the functionality of several R packages and providing in-house estimation methods.
Available methods include those that rely on parametric modeling, optimization, and machine learning. Also
allows for assessment of weights and checking of covariate balance by interfacing directly
with the 'cobalt' package. Methods for estimating weighted regression models that take into account
uncertainty in the estimation of the weights via M-estimation or bootstrapping are available. See the vignette "Installing Supporting Packages" for instructions on how
to install any package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Diff between WeightIt versions 1.3.1 dated 2024-10-04 and 1.3.2 dated 2024-11-05
DESCRIPTION | 6 MD5 | 48 ++--- NEWS.md | 6 R/functions_for_processing.R | 121 +++++++++---- R/glm_weightit.R | 5 R/glm_weightit_helpers.R | 2 R/multinom_weightit.R | 1 R/ordinal_weightit.R | 8 R/utils.R | 25 ++ R/weightit2bart.R | 12 - R/weightit2cbps.R | 28 +-- R/weightit2gbm.R | 20 +- R/weightit2glm.R | 18 - R/weightit2ps.R | 12 - R/weightit2super.R | 20 +- README.md | 6 build/stage23.rdb |binary inst/doc/WeightIt.html | 4 inst/doc/estimating-effects.html | 4 inst/doc/installing-packages.html | 4 tests/testthat/test-glm_weightit.R | 26 +- tests/testthat/test-method_glm.R | 38 ++-- tests/testthat/test-multinom_weightit.R | 12 - tests/testthat/test-ordinal_weightit.R | 14 - tests/testthat/test-vcov_arg.R | 291 +++++++++++++++++++++----------- 25 files changed, 454 insertions(+), 277 deletions(-)
Title: Pathway Testing for Longitudinal Omics
Description: A self-contained hypothesis is tested for a given pathway of longitudinal omics. 'SlaPMEG' is a two-step procedure. First, a shared latent process mixed model is fitted over the longitudinal measures of omics in a pathway. This shared model allows deviation from the shared process at subject level (a random intercept, slope, or both per subject) and also at omic level (a random effect per omic). These random effects summarize the longitudinal trend of the observations which can be used to test for group differences using 'Globaltest' in the second step. If the pathway is large or the shared effect is small, the package fits a series of pairwise models and estimates the shared random effects based on them.
Author: Mitra Ebrahimpoor [aut, cre]
Maintainer: Mitra Ebrahimpoor <mitra.ebrahimpoor@gmail.com>
Diff between SlaPMEG versions 1.0.1 dated 2021-07-05 and 1.0.2 dated 2024-11-05
DESCRIPTION | 18 ++++++++++++------ MD5 | 14 +++++++------- R/multslapmeg.R | 2 +- R/pairslapmeg.R | 4 ++-- R/plotslapmeg.R | 11 +++++++---- R/slapmeg.R | 6 +++--- man/plotslapmeg.Rd | 4 ++-- man/slapmeg.Rd | 2 +- 8 files changed, 35 insertions(+), 26 deletions(-)
Title: Interface for the 'Finnish Biodiversity Information Facility'
API
Description: A programmatic interface to the 'Finnish Biodiversity Information
Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates
Finnish biodiversity data from multiple sources in a single open access
portal for researchers, citizen scientists, industry and government.
'FinBIF' allows users of biodiversity information to find, access, combine
and visualise data on Finnish plants, animals and microorganisms. The
'finbif' package makes the publicly available data in 'FinBIF' easily
accessible to programmers. Biodiversity information is available on taxonomy
and taxon occurrence. Occurrence data can be filtered by taxon, time,
location and other variables. The data accessed are conveniently
preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph],
William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>
Diff between finbif versions 0.9.8 dated 2024-08-19 and 0.9.9 dated 2024-11-05
finbif-0.9.8/finbif/inst/NEWS.Rd |only finbif-0.9.8/finbif/tests/testthat/laji-data.ods |only finbif-0.9.8/finbif/tests/testthat/laji-data.xlsx |only finbif-0.9.9/finbif/DESCRIPTION | 11 finbif-0.9.9/finbif/MD5 | 87 finbif-0.9.9/finbif/NAMESPACE | 1 finbif-0.9.9/finbif/NEWS.md | 13 finbif-0.9.9/finbif/R/finbif_occurrence.R | 209 finbif-0.9.9/finbif/R/finbif_occurrence_load.R | 86 finbif-0.9.9/finbif/R/finbif_records.R | 115 finbif-0.9.9/finbif/R/sysdata.R | 12 finbif-0.9.9/finbif/R/sysdata.rda |binary finbif-0.9.9/finbif/R/utils.R | 33 finbif-0.9.9/finbif/README.md | 2 finbif-0.9.9/finbif/build/vignette.rds |binary finbif-0.9.9/finbif/inst/doc/finbif.html | 2 finbif-0.9.9/finbif/inst/doc/v02_occurrence_data.html | 2 finbif-0.9.9/finbif/inst/doc/v03_selecting_variables.html | 2 finbif-0.9.9/finbif/inst/doc/v04_metadata.html | 2 finbif-0.9.9/finbif/inst/doc/v05_filtering.html | 2 finbif-0.9.9/finbif/tests/fixtures/finbif_cache_db_timeout.yml | 69 finbif-0.9.9/finbif/tests/fixtures/finbif_cache_file_timeout.yml | 69 finbif-0.9.9/finbif/tests/fixtures/finbif_cache_timeout.yml | 69 finbif-0.9.9/finbif/tests/fixtures/finbif_check_taxa.yml | 16 finbif-0.9.9/finbif/tests/fixtures/finbif_collections.yml | 8825 ++++----- finbif-0.9.9/finbif/tests/fixtures/finbif_informal_groups.yml | 5 finbif-0.9.9/finbif/tests/fixtures/finbif_last_mod1.yml | 6 finbif-0.9.9/finbif/tests/fixtures/finbif_last_mod2.yml | 6 finbif-0.9.9/finbif/tests/fixtures/finbif_last_mod3.yml | 6 finbif-0.9.9/finbif/tests/fixtures/finbif_metadata.yml | 610 finbif-0.9.9/finbif/tests/fixtures/finbif_occurrence.yml | 9597 +++++----- finbif-0.9.9/finbif/tests/fixtures/finbif_occurrence_aggregate.yml | 66 finbif-0.9.9/finbif/tests/fixtures/finbif_occurrence_api_error.yml | 5 finbif-0.9.9/finbif/tests/fixtures/finbif_occurrence_dates.yml | 120 finbif-0.9.9/finbif/tests/fixtures/finbif_occurrence_load.yml | 251 finbif-0.9.9/finbif/tests/fixtures/finbif_occurrence_print.yml | 18 finbif-0.9.9/finbif/tests/fixtures/finbif_taxa.yml | 16 finbif-0.9.9/finbif/tests/testthat/_snaps/caching.md | 93 finbif-0.9.9/finbif/tests/testthat/_snaps/finbif_collections.md | 304 finbif-0.9.9/finbif/tests/testthat/_snaps/finbif_metadata.md | 8 finbif-0.9.9/finbif/tests/testthat/_snaps/finbif_occurrence.md | 96 finbif-0.9.9/finbif/tests/testthat/_snaps/finbif_occurrence_load.md | 290 finbif-0.9.9/finbif/tests/testthat/helper.R | 2 finbif-0.9.9/finbif/tests/testthat/test-finbif_occurrence.R | 9 finbif-0.9.9/finbif/tests/testthat/test-finbif_occurrence_load.R | 16 finbif-0.9.9/finbif/tests/testthat/test-finbif_update_cache.R | 5 46 files changed, 10461 insertions(+), 10695 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-10-21 1.0.4
Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the
paper "Sequential Gradient Descent and Quasi-Newton's Method for
Change-Point Analysis" by Xianyang Zhang, Trisha Dawn
<https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is
based on dynamic programming with pruning and sequential gradient
descent. It is able to detect change points a magnitude faster than
the vanilla Pruned Exact Linear Time(PELT). The package includes
examples of linear regression, logistic regression, Poisson
regression, penalized linear regression data, and whole lot more
examples with custom cost function in case the user wants to use their
own cost function.
Author: Xingchi Li [aut, cre, cph] ,
Xianyang Zhang [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>
Diff between fastcpd versions 0.14.3 dated 2024-04-26 and 0.14.6 dated 2024-11-05
fastcpd-0.14.3/fastcpd/inst/doc/comparison-packages.R |only fastcpd-0.14.3/fastcpd/src/fastcpd_class_cost.cc |only fastcpd-0.14.3/fastcpd/src/fastcpd_class_private.cc |only fastcpd-0.14.3/fastcpd/src/fastcpd_class_public.cc |only fastcpd-0.14.3/fastcpd/src/fastcpd_classes.h |only fastcpd-0.14.3/fastcpd/src/fastcpd_constants.h |only fastcpd-0.14.3/fastcpd/src/fastcpd_impl.h |only fastcpd-0.14.3/fastcpd/src/test-functions.cc |only fastcpd-0.14.3/fastcpd/tests/testthat/examples/fastcpd_ar.R |only fastcpd-0.14.3/fastcpd/tests/testthat/examples/fastcpd_lm.R |only fastcpd-0.14.3/fastcpd/tests/testthat/test-coverage.R |only fastcpd-0.14.3/fastcpd/tests/testthat/test-examples-fastcpd_ar.R |only fastcpd-0.14.3/fastcpd/tests/testthat/test-examples-fastcpd_lm.R |only fastcpd-0.14.3/fastcpd/vignettes/comparison-packages-ar_data-mcp.svg |only fastcpd-0.14.3/fastcpd/vignettes/comparison-packages-mean_data_1-bcp.svg |only fastcpd-0.14.3/fastcpd/vignettes/comparison-packages-mean_data_1-mcp.svg |only fastcpd-0.14.3/fastcpd/vignettes/comparison-packages-mean_data_3-bcp.svg |only fastcpd-0.14.3/fastcpd/vignettes/comparison-packages-mv_data_1-mcp.svg |only fastcpd-0.14.3/fastcpd/vignettes/comparison-packages-well_log-cpts.svg |only fastcpd-0.14.3/fastcpd/vignettes/comparison-packages-well_log-time.svg |only fastcpd-0.14.6/fastcpd/DESCRIPTION | 14 fastcpd-0.14.6/fastcpd/MD5 | 115 fastcpd-0.14.6/fastcpd/NEWS.md | 13 fastcpd-0.14.6/fastcpd/R/fastcpd_class.R | 2 fastcpd-0.14.6/fastcpd/R/fastcpd_wrappers.R | 6 fastcpd-0.14.6/fastcpd/build/vignette.rds |binary fastcpd-0.14.6/fastcpd/inst/doc/comparison-packages.Rmd | 1795 +++++--- fastcpd-0.14.6/fastcpd/inst/doc/comparison-packages.html | 2201 ++++------ fastcpd-0.14.6/fastcpd/inst/doc/comparison-pelt.html | 4 fastcpd-0.14.6/fastcpd/inst/doc/examples-advanced.html | 4 fastcpd-0.14.6/fastcpd/inst/doc/examples-custom-model.html | 4 fastcpd-0.14.6/fastcpd/inst/include |only fastcpd-0.14.6/fastcpd/man/fastcpd.Rd | 29 fastcpd-0.14.6/fastcpd/man/fastcpd_ar.Rd | 13 fastcpd-0.14.6/fastcpd/man/fastcpd_lm.Rd | 3 fastcpd-0.14.6/fastcpd/man/fastcpd_meanvariance.Rd | 28 fastcpd-0.14.6/fastcpd/man/well_log.Rd | 1 fastcpd-0.14.6/fastcpd/src/Makevars | 2 fastcpd-0.14.6/fastcpd/src/Makevars.win | 2 fastcpd-0.14.6/fastcpd/src/fastcpd_class.cc |only fastcpd-0.14.6/fastcpd/src/fastcpd_class.h |only fastcpd-0.14.6/fastcpd/src/fastcpd_class_nll.cc | 363 + fastcpd-0.14.6/fastcpd/src/fastcpd_impl.cc | 48 fastcpd-0.14.6/fastcpd/src/fastcpd_test.cc |only fastcpd-0.14.6/fastcpd/src/fastcpd_test.h |only fastcpd-0.14.6/fastcpd/src/fastcpd_types.h | 64 fastcpd-0.14.6/fastcpd/src/fastcpd_wrapper.h |only fastcpd-0.14.6/fastcpd/src/test-fastcpd.cc |only fastcpd-0.14.6/fastcpd/tests/testthat/examples/data-well_log-quantile.txt | 1 fastcpd-0.14.6/fastcpd/tests/testthat/examples/fastcpd_3.txt | 29 fastcpd-0.14.6/fastcpd/tests/testthat/examples/fastcpd_ar_1.R |only fastcpd-0.14.6/fastcpd/tests/testthat/examples/fastcpd_ar_2.R |only fastcpd-0.14.6/fastcpd/tests/testthat/examples/fastcpd_lm_1.R |only fastcpd-0.14.6/fastcpd/tests/testthat/examples/fastcpd_lm_2.R |only fastcpd-0.14.6/fastcpd/tests/testthat/examples/fastcpd_meanvariance_1.R | 28 fastcpd-0.14.6/fastcpd/tests/testthat/test-examples-fastcpd_3.R | 5 fastcpd-0.14.6/fastcpd/tests/testthat/test-examples-fastcpd_ar_1.R |only fastcpd-0.14.6/fastcpd/tests/testthat/test-examples-fastcpd_ar_2.R |only fastcpd-0.14.6/fastcpd/tests/testthat/test-examples-fastcpd_arima.R | 2 fastcpd-0.14.6/fastcpd/tests/testthat/test-examples-fastcpd_lm_1.R |only fastcpd-0.14.6/fastcpd/tests/testthat/test-examples-fastcpd_lm_2.R |only fastcpd-0.14.6/fastcpd/tests/testthat/test-examples-fastcpd_meanvariance_1.R | 2 fastcpd-0.14.6/fastcpd/tests/testthat/test-experiments.R | 50 fastcpd-0.14.6/fastcpd/tests/testthat/test-vignettes-comparison-pelt.R | 1 fastcpd-0.14.6/fastcpd/vignettes/comparison-packages |only fastcpd-0.14.6/fastcpd/vignettes/comparison-packages.Rmd | 1795 +++++--- 66 files changed, 4251 insertions(+), 2373 deletions(-)
Title: Collocation Inference for Dynamic Systems
Description: These functions implement collocation-inference
for continuous-time and discrete-time stochastic processes.
They provide model-based smoothing, gradient-matching,
generalized profiling and forwards prediction error methods.
Author: Giles Hooker [aut, cre],
Luo Xiao [aut],
James Ramsay [ctb]
Maintainer: Giles Hooker <ghooker@wharton.upenn.edu>
Diff between CollocInfer versions 1.0.4 dated 2016-11-07 and 1.0.5 dated 2024-11-05
CollocInfer-1.0.4/CollocInfer/inst/CITATION |only CollocInfer-1.0.5/CollocInfer/DESCRIPTION | 23 CollocInfer-1.0.5/CollocInfer/MD5 | 77 CollocInfer-1.0.5/CollocInfer/NEWS | 4 CollocInfer-1.0.5/CollocInfer/R/Chemo.R | 96 - CollocInfer-1.0.5/CollocInfer/R/CollocInferPlots.R | 11 CollocInfer-1.0.5/CollocInfer/R/SSElik.R | 476 ++--- CollocInfer-1.0.5/CollocInfer/R/SSEproc.R | 318 +-- CollocInfer-1.0.5/CollocInfer/demo/ChemoEx.R | 590 +++---- CollocInfer-1.0.5/CollocInfer/demo/FhN.diagnostics.r | 514 +++--- CollocInfer-1.0.5/CollocInfer/demo/SEIREX.r | 836 +++++----- CollocInfer-1.0.5/CollocInfer/inst/OldDemo/FhN.diagnostics.R | 292 +-- CollocInfer-1.0.5/CollocInfer/inst/OldDemo/FhNEx.R | 2 CollocInfer-1.0.5/CollocInfer/inst/OldDemo/HenonEx.R | 2 CollocInfer-1.0.5/CollocInfer/man/ChemoData.rd | 2 CollocInfer-1.0.5/CollocInfer/man/ChemoRMData.rd | 2 CollocInfer-1.0.5/CollocInfer/man/CollocInfer-internal.rd | 52 CollocInfer-1.0.5/CollocInfer/man/CollocInferPlots.rd | 4 CollocInfer-1.0.5/CollocInfer/man/FhNdata.rd | 2 CollocInfer-1.0.5/CollocInfer/man/FhNest.rd | 5 CollocInfer-1.0.5/CollocInfer/man/FitMatch.rd | 8 CollocInfer-1.0.5/CollocInfer/man/IntegrateForward.rd | 2 CollocInfer-1.0.5/CollocInfer/man/NSdata.rd | 2 CollocInfer-1.0.5/CollocInfer/man/ParsMatch.rd | 4 CollocInfer-1.0.5/CollocInfer/man/Profile.rd | 12 CollocInfer-1.0.5/CollocInfer/man/ProfileObjective.rd | 8 CollocInfer-1.0.5/CollocInfer/man/SEIRdata.rd | 2 CollocInfer-1.0.5/CollocInfer/man/SplineCoefs.Rd | 6 CollocInfer-1.0.5/CollocInfer/man/forward.prediction.error.rd | 10 CollocInfer-1.0.5/CollocInfer/man/inneropt.rd | 3 CollocInfer-1.0.5/CollocInfer/man/make.findif.rd | 2 CollocInfer-1.0.5/CollocInfer/man/make.lik.rd | 6 CollocInfer-1.0.5/CollocInfer/man/make.logtrans.rd | 3 CollocInfer-1.0.5/CollocInfer/man/make.proc.rd | 4 CollocInfer-1.0.5/CollocInfer/man/make.transform.rd | 11 CollocInfer-1.0.5/CollocInfer/man/make.variance.rd | 2 CollocInfer-1.0.5/CollocInfer/man/outeropt.rd | 3 CollocInfer-1.0.5/CollocInfer/man/profile.covariance.rd | 2 CollocInfer-1.0.5/CollocInfer/man/setup.rd | 12 CollocInfer-1.0.5/CollocInfer/man/smooth.rd | 10 40 files changed, 1712 insertions(+), 1708 deletions(-)
Title: Access, Retrieve, and Work with CMHC Data
Description: Wrapper around the Canadian Mortgage and Housing Corporation (CMHC) web interface. It enables programmatic and reproducible access to a wide variety of housing data from CMHC.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>
Diff between cmhc versions 0.2.8 dated 2024-07-12 and 0.2.9 dated 2024-11-05
DESCRIPTION | 15 ++++++++++----- MD5 | 14 +++++++------- NEWS.md | 6 ++++++ R/cmhc.R | 9 +++++++++ README.md | 8 ++++---- build/vignette.rds |binary inst/doc/basic_usage.html | 12 ++++++------ inst/doc/rental_universe.html | 8 ++++---- 8 files changed, 46 insertions(+), 26 deletions(-)
Title: Animated Interactive Grammar of Graphics
Description: Functions are provided for defining animated,
interactive data visualizations in R code, and rendering
on a web page. The 2018 Journal of Computational and
Graphical Statistics paper,
<doi:10.1080/10618600.2018.1513367>
describes the concepts implemented.
Author: Toby Hocking [aut, cre] ,
Biplab Sutradhar [ctb] ,
Hadley Wickham [aut] ,
Winston Chang [aut] ,
RStudio [cph] ,
Nicholas Lewin-Koh [aut] ,
Martin Maechler [aut] ,
Randall Prium [aut] ,
Susan VanderPlas [aut] ,
Carson Sievert [aut] ,
Kevin Ferris [aut [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>
Diff between animint2 versions 2024.1.24 dated 2024-01-24 and 2024.11.2 dated 2024-11-05
animint2-2024.1.24/animint2/tests/testthat/pids.txt |only animint2-2024.11.2/animint2/DESCRIPTION | 29 - animint2-2024.11.2/animint2/MD5 | 77 +-- animint2-2024.11.2/animint2/NAMESPACE | 9 animint2-2024.11.2/animint2/NEWS.md | 37 + animint2-2024.11.2/animint2/R/data.R | 2 animint2-2024.11.2/animint2/R/geom-.r | 15 animint2-2024.11.2/animint2/R/guide-colorbar.r | 2 animint2-2024.11.2/animint2/R/plot-build.r | 4 animint2-2024.11.2/animint2/R/stat-unique.r | 3 animint2-2024.11.2/animint2/R/utilities.r | 26 + animint2-2024.11.2/animint2/R/uu_zxx.r | 214 +++++----- animint2-2024.11.2/animint2/R/z_facets.R | 8 animint2-2024.11.2/animint2/R/z_pages.R | 74 ++- animint2-2024.11.2/animint2/R/z_print.R | 21 animint2-2024.11.2/animint2/R/z_scales.R | 20 animint2-2024.11.2/animint2/R/z_theme_animint.R | 52 +- animint2-2024.11.2/animint2/R/z_transformShape.R | 68 +-- animint2-2024.11.2/animint2/build/partial.rdb |binary animint2-2024.11.2/animint2/inst/htmljs/animint.js | 25 - animint2-2024.11.2/animint2/man/animint2pages.Rd | 23 - animint2-2024.11.2/animint2/man/getTextSize.Rd | 38 - animint2-2024.11.2/animint2/man/ggplot_gtable.Rd | 4 animint2-2024.11.2/animint2/man/guide_colourbar.Rd | 2 animint2-2024.11.2/animint2/man/position_dodge.Rd | 2 animint2-2024.11.2/animint2/man/position_identity.Rd | 2 animint2-2024.11.2/animint2/man/position_nudge.Rd | 4 animint2-2024.11.2/animint2/man/position_stack.Rd | 2 animint2-2024.11.2/animint2/man/stat_unique.Rd | 5 animint2-2024.11.2/animint2/man/txhousing.Rd | 2 animint2-2024.11.2/animint2/tests/testthat/helper-functions.R | 54 -- animint2-2024.11.2/animint2/tests/testthat/test-compiler-empty-data.r | 23 - animint2-2024.11.2/animint2/tests/testthat/test-compiler-errors.R | 74 +++ animint2-2024.11.2/animint2/tests/testthat/test-renderer1-axis-angle-rotate.R | 12 animint2-2024.11.2/animint2/tests/testthat/test-renderer1-facet-lines.R | 2 animint2-2024.11.2/animint2/tests/testthat/test-renderer1-global-variables.R | 6 animint2-2024.11.2/animint2/tests/testthat/test-renderer1-knit-print.R | 70 +-- animint2-2024.11.2/animint2/tests/testthat/test-renderer1-url-fragment.R | 3 animint2-2024.11.2/animint2/tests/testthat/test-renderer2-widerect.R | 78 +-- animint2-2024.11.2/animint2/tests/testthat/test-shiny.R | 4 40 files changed, 607 insertions(+), 489 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-05-30 1.0.2
2024-05-21 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-09-18 0.3.0
2024-07-13 0.2.0
2023-08-22 0.1.1
2023-05-19 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-09-26 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-04-20 1.2.1
Title: Marginal Analysis of Misclassified Longitudinal Ordinal Data
Description: Three estimating equation methods are provided in this package for marginal analysis of longitudinal ordinal data with misclassified responses and covariates.
The naive analysis which is solely based on the observed data without adjustment may lead to bias.
The corrected generalized estimating equations (GEE2) method which is unbiased requires the misclassification parameters to be known beforehand.
The corrected generalized estimating equations (GEE2) with validation subsample method estimates the misclassification parameters based on a given
validation set. This package is an implementation
of Chen (2013) <doi:10.1002/bimj.201200195>.
Author: Yuliang Xu [aut, cre],
Zhijian Chen [aut],
Shuo Shuo Liu [aut],
Grace Yi [aut]
Maintainer: Yuliang Xu <yuliangx@umich.edu>
Diff between mgee2 versions 0.5 dated 2023-12-02 and 0.6 dated 2024-11-05
DESCRIPTION | 6 +++--- MD5 | 4 ++-- src/mgee2.c | 17 ++++++++++++----- 3 files changed, 17 insertions(+), 10 deletions(-)
Title: Exact Goodness-of-Fit Test for Multinomial Data with Fixed
Probabilities
Description: Tests whether a set of counts fit a given expected ratio. For
example, a genetic cross might be expected to produce four types in the
relative frequencies of 9:3:3:1. To see whether a set of observed counts
fits this expectation, one can examine all possible outcomes with xmulti() or a
random sample of them with xmonte() and find the probability of an observation
deviating from the expectation by at least as much as the observed. As a
measure of deviation from the expected, one can use the log-likelihood
ratio, the multinomial probability, or the classic chi-square statistic. A
histogram of the test statistic can also be plotted and compared with the
asymptotic curve.
Author: Bill Engels [aut, cre]
Maintainer: Bill Engels <wrengels@wisc.edu>
Diff between XNomial versions 1.0.4 dated 2015-12-24 and 1.0.4.1 dated 2024-11-05
DESCRIPTION | 14 - MD5 | 12 build/vignette.rds |binary inst/doc/XNomial.R | 26 +- inst/doc/XNomial.html | 641 ++++++++++++++++++++++++++++++++++++++++++-------- src/XNenumerated.c | 26 +- src/XNmonte.c | 16 - 7 files changed, 596 insertions(+), 139 deletions(-)
Title: R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size
Calculation in Clinical Research
Description: Functions and Examples in Sample Size Calculation in
Clinical Research.
Author: Ed Zhang ; Vicky Qian Wu ; Shein-Chung Chow ; Harry G.Zhang
<ed.zhang.jr@gmail.com>
Maintainer: Vicky Qian Wu <wuqian7@gmail.com>
Diff between TrialSize versions 1.4 dated 2020-07-06 and 1.4.1 dated 2024-11-05
DESCRIPTION | 6 +++--- MD5 | 6 +++--- src/TrialSize.cc | 6 +++--- src/TrialSize_main.cc | 2 +- 4 files changed, 10 insertions(+), 10 deletions(-)
Title: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Description: Computes mutual information matrices from continuous, categorical
and survival variables, as well as feature selection with minimum redundancy,
maximum relevance (mRMR) and a new ensemble mRMR technique. Published in
De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.
Author: Nicolas De Jay [aut],
Simon Papillon-Cavanagh [aut],
Catharina Olsen [aut],
Gianluca Bontempi [aut],
Bo Li [aut],
Christopher Eeles [ctb],
Benjamin Haibe-Kains [aut, cre]
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Diff between mRMRe versions 2.1.2.1 dated 2023-04-25 and 2.1.2.2 dated 2024-11-05
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- build/vignette.rds |binary data/cgps.rda |binary inst/doc/mRMRe.pdf |binary src/exports.cpp | 28 ++++++++++++++-------------- 6 files changed, 22 insertions(+), 22 deletions(-)
Title: Knowledge Discovery by Accuracy Maximization
Description: An unsupervised and semi-supervised learning algorithm that performs feature extraction
from noisy and high-dimensional data. It facilitates identification of patterns representing underlying
groups on all samples in a data set. Based on Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA.
(2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014)
Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Author: Stefano Cacciatore [aut, trl, cre]
,
Leonardo Tenori [aut]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Diff between KODAMA versions 2.4 dated 2023-01-12 and 2.4.1 dated 2024-11-05
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- build/vignette.rds |binary data/MetRef.RData |binary data/USA.RData |binary data/clinical.RData |binary data/lymphoma.RData |binary inst/doc/KODAMA.R | 4 ++-- inst/doc/KODAMA.pdf |binary src/ANN.cpp | 4 ++-- 10 files changed, 16 insertions(+), 16 deletions(-)
Title: Fit, Simulate and Diagnose Exponential-Family Models for
Multiple or Multilayer Networks
Description: A set of extensions for the 'ergm' package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. 'ergm.multi' is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2023) <doi:10.1080/01621459.2023.2242627>.
Author: Pavel N. Krivitsky [aut, cre] ,
Mark S. Handcock [ctb],
David R. Hunter [ctb],
Chad Klumb [ctb],
Pietro Coletti [ctb],
Joyce Cheng [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>
Diff between ergm.multi versions 0.2.1 dated 2024-02-20 and 0.2.1.1 dated 2024-11-05
ergm.multi-0.2.1.1/ergm.multi/DESCRIPTION | 6 ergm.multi-0.2.1.1/ergm.multi/MD5 | 21 ergm.multi-0.2.1.1/ergm.multi/build/partial.rdb |binary ergm.multi-0.2.1.1/ergm.multi/build/stage23.rdb |binary ergm.multi-0.2.1.1/ergm.multi/build/vignette.rds |binary ergm.multi-0.2.1.1/ergm.multi/data/Goeyvaerts.rda |binary ergm.multi-0.2.1.1/ergm.multi/data/Lazega.rda |binary ergm.multi-0.2.1.1/ergm.multi/inst/doc/Goeyvaerts_reproduction.html | 244 +++++----- ergm.multi-0.2.1.1/ergm.multi/src/changestats_multilayer.c | 8 ergm.multi-0.2.1.1/ergm.multi/src/changestats_multinet.c | 4 ergm.multi-0.2.1.1/ergm.multi/src/wtchangestats_multinet.c | 4 ergm.multi-0.2.1/ergm.multi/build/ergm.multi.pdf |only 12 files changed, 153 insertions(+), 134 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-05-30 0.6-2
2020-12-10 0.6-1
2020-06-13 0.6-0
2019-11-22 0.5-0
2019-03-04 0.4-4
2018-12-18 0.4-3
2017-05-03 0.4-2
2016-09-20 0.4-1
2016-07-22 0.4-0
2016-06-28 0.3-5
2016-06-06 0.3-4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-05-09 1.5.3
2023-04-11 1.5.1
2023-03-14 1.5.0
2023-01-31 1.4.0
2022-04-19 1.3.0
2021-02-09 1.2.0
2021-01-21 1.1.1
2021-01-06 1.1.0
2019-11-10 1.0.5
2019-10-27 1.0.4
2018-11-08 1.0.3
2018-10-31 1.0.2
2018-06-26 1.0.1
2018-06-15 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-12-01 0.4-3
2019-03-04 0.4-2
2018-12-27 0.4-1
2018-12-18 0.4-0
2018-05-07 0.3-16
2018-05-06 0.3-15
2017-02-01 0.3-14
2016-09-20 0.3-12
2016-08-28 0.3-11
2016-06-04 0.3-10
2016-05-30 0.3-9
2014-07-30 0.3-8
2014-05-06 0.3-7
2014-02-17 0.3-6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-05-11 0.2.4
2023-07-10 0.2.3
2023-05-30 0.2.2