Title: Power and Sample Size Calculation for Non-Proportional Hazards
Description: Performs power and sample size calculation for non-proportional
hazards model using the Fleming-Harrington family of weighted log-rank
tests. The sequentially calculated log-rank test score statistics are
assumed to have independent increments as characterized in
Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean
and variance of log-rank test score statistics are calculated based on
Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities
are calculated using the recursive integration algorithm described in
Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168).
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Diff between lrstat versions 0.1.12 dated 2023-04-30 and 0.1.13 dated 2023-05-20
DESCRIPTION | 8 MD5 | 36 +-- NEWS.md | 10 + R/RcppExports.R | 11 - build/partial.rdb |binary build/vignette.rds |binary inst/doc/fixed_follow-up.html | 20 +- inst/doc/group_sequential_multiplicity.R | 6 inst/doc/group_sequential_multiplicity.Rmd | 6 inst/doc/group_sequential_multiplicity.html | 6 inst/doc/non-proportional_hazards.R | 2 inst/doc/non-proportional_hazards.Rmd | 2 inst/doc/non-proportional_hazards.html | 2 man/lrsamplesize.Rd | 9 src/RcppExports.cpp | 9 src/lrstat.cpp | 256 ++++++++++++++++++++++++++-- tests/testthat/test-f_lrsamplesize.R | 18 - vignettes/group_sequential_multiplicity.Rmd | 6 vignettes/non-proportional_hazards.Rmd | 2 19 files changed, 333 insertions(+), 76 deletions(-)
Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre],
Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>
Diff between IsoplotRgui versions 5.2 dated 2023-03-01 and 5.3 dated 2023-05-20
DESCRIPTION | 10 ++--- MD5 | 44 ++++++++++++------------ R/IsoplotR.R | 4 +- inst/www/help/Lu-Hf.html | 10 ++++- inst/www/help/ages.html | 54 +++++++++++++++++++++--------- inst/www/help/average.html | 5 ++ inst/www/help/concordia.html | 19 ++++++++-- inst/www/help/evolution.html | 15 ++++++-- inst/www/help/helioplot.html | 10 ++++- inst/www/help/isochron.html | 15 ++++++-- inst/www/help/radial.html | 10 ++++- inst/www/help/regression.html | 15 ++++++-- inst/www/home/news.html | 43 ++++++++++++----------- inst/www/js/IsoplotR.js | 19 +++++----- inst/www/js/settings.json | 8 ++-- inst/www/locales/en/contextual_help.json | 12 ++++-- inst/www/locales/en/dictionary_class.json | 7 ++- inst/www/locales/en/dictionary_id.json | 38 ++++++++++----------- inst/www/locales/en/home_id.json | 4 +- inst/www/locales/es/dictionary_id.json | 37 ++++++++++++++++++++ inst/www/options/U-Pb.html | 52 ++++++++++++++++------------ inst/www/options/evolution.html | 16 ++++---- inst/www/version.txt | 2 - 23 files changed, 291 insertions(+), 158 deletions(-)
Title: Convenience Functions for Psychology
Description: Make your workflow faster and easier. Easily customizable
plots (via 'ggplot2'), nice APA tables (following the style of the
*American Psychological Association*) exportable to Word (via
'flextable'), easily run statistical tests or check assumptions, and
automatize various other tasks.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>
Diff between rempsyc versions 0.1.1 dated 2023-02-06 and 0.1.2 dated 2023-05-20
rempsyc-0.1.1/rempsyc/R/sr2.R |only rempsyc-0.1.1/rempsyc/man/sr2.Rd |only rempsyc-0.1.2/rempsyc/DESCRIPTION | 10 rempsyc-0.1.2/rempsyc/MD5 | 182 - rempsyc-0.1.2/rempsyc/NAMESPACE | 4 rempsyc-0.1.2/rempsyc/NEWS.md | 39 rempsyc-0.1.2/rempsyc/R/best_duplicate.R | 97 rempsyc-0.1.2/rempsyc/R/cormatrix_excel.R | 744 ++-- rempsyc-0.1.2/rempsyc/R/extract_duplicates.R | 93 rempsyc-0.1.2/rempsyc/R/find_mad.R | 308 +- rempsyc-0.1.2/rempsyc/R/format_value.R | 52 rempsyc-0.1.2/rempsyc/R/nice_assumptions.R | 148 rempsyc-0.1.2/rempsyc/R/nice_contrasts.R | 317 +- rempsyc-0.1.2/rempsyc/R/nice_density.R | 26 rempsyc-0.1.2/rempsyc/R/nice_lm.R | 230 - rempsyc-0.1.2/rempsyc/R/nice_lm_contrasts.R | 330 +- rempsyc-0.1.2/rempsyc/R/nice_lm_slopes.R | 306 +- rempsyc-0.1.2/rempsyc/R/nice_mod.R | 42 rempsyc-0.1.2/rempsyc/R/nice_na.R | 236 - rempsyc-0.1.2/rempsyc/R/nice_normality.R | 186 - rempsyc-0.1.2/rempsyc/R/nice_qq.R | 6 rempsyc-0.1.2/rempsyc/R/nice_randomize.R | 198 - rempsyc-0.1.2/rempsyc/R/nice_reverse.R | 63 rempsyc-0.1.2/rempsyc/R/nice_scatter.R | 943 +++--- rempsyc-0.1.2/rempsyc/R/nice_slopes.R | 76 rempsyc-0.1.2/rempsyc/R/nice_t_test.R | 15 rempsyc-0.1.2/rempsyc/R/nice_table.R | 136 rempsyc-0.1.2/rempsyc/R/nice_var.R | 191 - rempsyc-0.1.2/rempsyc/R/nice_varplot.R | 231 - rempsyc-0.1.2/rempsyc/R/nice_violin.R | 19 rempsyc-0.1.2/rempsyc/R/overlap_circle.R | 148 rempsyc-0.1.2/rempsyc/R/plot_outliers.R | 8 rempsyc-0.1.2/rempsyc/R/rcompanion_groupwiseMean.R | 614 ++-- rempsyc-0.1.2/rempsyc/R/scale_mad.R | 56 rempsyc-0.1.2/rempsyc/R/utils.R | 34 rempsyc-0.1.2/rempsyc/R/winsorize_mad.R | 68 rempsyc-0.1.2/rempsyc/README.md | 1525 ++++------ rempsyc-0.1.2/rempsyc/build/vignette.rds |binary rempsyc-0.1.2/rempsyc/inst/CITATION | 10 rempsyc-0.1.2/rempsyc/inst/doc/assumptions.Rmd | 630 ++-- rempsyc-0.1.2/rempsyc/inst/doc/assumptions.html | 141 rempsyc-0.1.2/rempsyc/inst/doc/contrasts.html | 169 - rempsyc-0.1.2/rempsyc/inst/doc/moderation.Rmd | 408 +- rempsyc-0.1.2/rempsyc/inst/doc/moderation.html | 521 --- rempsyc-0.1.2/rempsyc/inst/doc/randomize.html | 64 rempsyc-0.1.2/rempsyc/inst/doc/scatter.html | 4 rempsyc-0.1.2/rempsyc/inst/doc/t-test.R | 1 rempsyc-0.1.2/rempsyc/inst/doc/t-test.Rmd | 335 +- rempsyc-0.1.2/rempsyc/inst/doc/t-test.html | 489 --- rempsyc-0.1.2/rempsyc/inst/doc/table.R | 7 rempsyc-0.1.2/rempsyc/inst/doc/table.Rmd | 710 ++-- rempsyc-0.1.2/rempsyc/inst/doc/table.html | 1396 +-------- rempsyc-0.1.2/rempsyc/inst/doc/violin.html | 6 rempsyc-0.1.2/rempsyc/man/best_duplicate.Rd | 4 rempsyc-0.1.2/rempsyc/man/cormatrix_excel.Rd | 15 rempsyc-0.1.2/rempsyc/man/extract_duplicates.Rd | 4 rempsyc-0.1.2/rempsyc/man/figures/README-nice_contrasts-1.png |binary rempsyc-0.1.2/rempsyc/man/figures/README-nice_lm-1.png |binary rempsyc-0.1.2/rempsyc/man/figures/README-nice_lm_slopes-1.png |binary rempsyc-0.1.2/rempsyc/man/figures/README-nice_mod-1.png |binary rempsyc-0.1.2/rempsyc/man/figures/README-nice_slopes-1.png |binary rempsyc-0.1.2/rempsyc/man/figures/README-nice_t_test-1.png |binary rempsyc-0.1.2/rempsyc/man/figures/README-nice_varplot-1.png |binary rempsyc-0.1.2/rempsyc/man/figures/README-plot_outliers-1.png |binary rempsyc-0.1.2/rempsyc/man/figures/README-plot_outliers-2.png |binary rempsyc-0.1.2/rempsyc/man/find_mad.Rd | 24 rempsyc-0.1.2/rempsyc/man/format_value.Rd | 32 rempsyc-0.1.2/rempsyc/man/nice_assumptions.Rd | 2 rempsyc-0.1.2/rempsyc/man/nice_contrasts.Rd | 3 rempsyc-0.1.2/rempsyc/man/nice_density.Rd | 8 rempsyc-0.1.2/rempsyc/man/nice_lm.Rd | 38 rempsyc-0.1.2/rempsyc/man/nice_lm_contrasts.Rd | 3 rempsyc-0.1.2/rempsyc/man/nice_lm_slopes.Rd | 32 rempsyc-0.1.2/rempsyc/man/nice_mod.Rd | 28 rempsyc-0.1.2/rempsyc/man/nice_na.Rd | 2 rempsyc-0.1.2/rempsyc/man/nice_normality.Rd | 6 rempsyc-0.1.2/rempsyc/man/nice_qq.Rd | 2 rempsyc-0.1.2/rempsyc/man/nice_randomize.Rd | 2 rempsyc-0.1.2/rempsyc/man/nice_reverse.Rd | 3 rempsyc-0.1.2/rempsyc/man/nice_slopes.Rd | 35 rempsyc-0.1.2/rempsyc/man/nice_t_test.Rd | 17 rempsyc-0.1.2/rempsyc/man/nice_table.Rd | 3 rempsyc-0.1.2/rempsyc/man/nice_violin.Rd | 11 rempsyc-0.1.2/rempsyc/man/plot_outliers.Rd | 2 rempsyc-0.1.2/rempsyc/man/rcompanion_groupwiseMean.Rd | 2 rempsyc-0.1.2/rempsyc/man/scale_mad.Rd | 11 rempsyc-0.1.2/rempsyc/man/winsorize_mad.Rd | 4 rempsyc-0.1.2/rempsyc/tests/testthat.R | 9 rempsyc-0.1.2/rempsyc/tests/testthat/test-nice_violin.R | 252 - rempsyc-0.1.2/rempsyc/vignettes/assumptions.Rmd | 630 ++-- rempsyc-0.1.2/rempsyc/vignettes/moderation.Rmd | 408 +- rempsyc-0.1.2/rempsyc/vignettes/t-test.Rmd | 335 +- rempsyc-0.1.2/rempsyc/vignettes/table.Rmd | 710 ++-- 93 files changed, 6812 insertions(+), 8397 deletions(-)
Title: Bridge to System Package Manager
Description: Enables binary package installations on Linux distributions.
Provides functions to manage packages via the distribution's package
manager. Also provides transparent integration with R's install.packages()
and a fallback mechanism. When installed as a system package, interacts
with the system's package manager without requiring administrative
privileges via an integrated D-Bus service; otherwise, uses sudo.
Currently, the following backends are supported: DNF, APT, ALPM.
Author: Inaki Ucar [aut, cph, cre]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>
Diff between bspm versions 0.5.1 dated 2023-03-16 and 0.5.2 dated 2023-05-20
bspm-0.5.1/bspm/man/scripts.Rd |only bspm-0.5.2/bspm/DESCRIPTION | 6 +++--- bspm-0.5.2/bspm/MD5 | 22 +++++++++++----------- bspm-0.5.2/bspm/NEWS.md | 5 +++++ bspm-0.5.2/bspm/R/bridge.R | 4 ++-- bspm-0.5.2/bspm/R/manager.R | 2 +- bspm-0.5.2/bspm/R/scripts.R | 2 +- bspm-0.5.2/bspm/R/utils.R | 2 +- bspm-0.5.2/bspm/inst/tinytest/test_utils.R | 2 +- bspm-0.5.2/bspm/man/bspm-package.Rd | 4 ++-- bspm-0.5.2/bspm/man/bspm-scripts.Rd |only bspm-0.5.2/bspm/man/manager.Rd | 2 +- bspm-0.5.2/bspm/tests/r2u.sh | 11 ++++++++++- 13 files changed, 38 insertions(+), 24 deletions(-)
Title: Regularized Linear Modeling with Tidy Data
Description: An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger@gmail.com>
Diff between tidyfit versions 0.6.3 dated 2023-03-15 and 0.6.4 dated 2023-05-20
tidyfit-0.6.3/tidyfit/R/model.R |only tidyfit-0.6.3/tidyfit/R/model.adalasso.R |only tidyfit-0.6.3/tidyfit/R/model.bayes.R |only tidyfit-0.6.3/tidyfit/R/model.blasso.R |only tidyfit-0.6.3/tidyfit/R/model.bma.R |only tidyfit-0.6.3/tidyfit/R/model.boost.R |only tidyfit-0.6.3/tidyfit/R/model.bridge.R |only tidyfit-0.6.3/tidyfit/R/model.chisq.R |only tidyfit-0.6.3/tidyfit/R/model.cor.R |only tidyfit-0.6.3/tidyfit/R/model.enet.R |only tidyfit-0.6.3/tidyfit/R/model.gets.R |only tidyfit-0.6.3/tidyfit/R/model.glm.R |only tidyfit-0.6.3/tidyfit/R/model.glmm.R |only tidyfit-0.6.3/tidyfit/R/model.hfr.R |only tidyfit-0.6.3/tidyfit/R/model.lasso.R |only tidyfit-0.6.3/tidyfit/R/model.lm.R |only tidyfit-0.6.3/tidyfit/R/model.mrmr.R |only tidyfit-0.6.3/tidyfit/R/model.mslm.R |only tidyfit-0.6.3/tidyfit/R/model.pcr.R |only tidyfit-0.6.3/tidyfit/R/model.plsr.R |only tidyfit-0.6.3/tidyfit/R/model.quantile.R |only tidyfit-0.6.3/tidyfit/R/model.relief.R |only tidyfit-0.6.3/tidyfit/R/model.rf.R |only tidyfit-0.6.3/tidyfit/R/model.ridge.R |only tidyfit-0.6.3/tidyfit/R/model.robust.R |only tidyfit-0.6.3/tidyfit/R/model.subset.R |only tidyfit-0.6.3/tidyfit/R/model.svm.R |only tidyfit-0.6.3/tidyfit/R/model.tvp.R |only tidyfit-0.6.3/tidyfit/man/dot-model.adalasso.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.bayes.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.blasso.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.bma.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.boost.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.bridge.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.chisq.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.cor.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.enet.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.gets.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.glm.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.glmm.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.hfr.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.lasso.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.lm.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.mrmr.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.mslm.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.pcr.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.plsr.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.quantile.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.relief.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.rf.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.ridge.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.robust.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.subset.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.svm.Rd |only tidyfit-0.6.3/tidyfit/man/dot-model.tvp.Rd |only tidyfit-0.6.4/tidyfit/DESCRIPTION | 17 tidyfit-0.6.4/tidyfit/MD5 | 155 +++---- tidyfit-0.6.4/tidyfit/NEWS.md | 94 ++-- tidyfit-0.6.4/tidyfit/R/check_method.R | 8 tidyfit-0.6.4/tidyfit/R/fit.R |only tidyfit-0.6.4/tidyfit/R/fit.adalasso.R |only tidyfit-0.6.4/tidyfit/R/fit.bayes.R |only tidyfit-0.6.4/tidyfit/R/fit.blasso.R |only tidyfit-0.6.4/tidyfit/R/fit.bma.R |only tidyfit-0.6.4/tidyfit/R/fit.boost.R |only tidyfit-0.6.4/tidyfit/R/fit.bridge.R |only tidyfit-0.6.4/tidyfit/R/fit.chisq.R |only tidyfit-0.6.4/tidyfit/R/fit.cor.R |only tidyfit-0.6.4/tidyfit/R/fit.enet.R |only tidyfit-0.6.4/tidyfit/R/fit.genetic.R |only tidyfit-0.6.4/tidyfit/R/fit.gets.R |only tidyfit-0.6.4/tidyfit/R/fit.glm.R |only tidyfit-0.6.4/tidyfit/R/fit.glmm.R |only tidyfit-0.6.4/tidyfit/R/fit.hfr.R |only tidyfit-0.6.4/tidyfit/R/fit.lasso.R |only tidyfit-0.6.4/tidyfit/R/fit.lm.R |only tidyfit-0.6.4/tidyfit/R/fit.mrmr.R |only tidyfit-0.6.4/tidyfit/R/fit.mslm.R |only tidyfit-0.6.4/tidyfit/R/fit.pcr.R |only tidyfit-0.6.4/tidyfit/R/fit.plsr.R |only tidyfit-0.6.4/tidyfit/R/fit.quantile.R |only tidyfit-0.6.4/tidyfit/R/fit.relief.R |only tidyfit-0.6.4/tidyfit/R/fit.rf.R |only tidyfit-0.6.4/tidyfit/R/fit.ridge.R |only tidyfit-0.6.4/tidyfit/R/fit.robust.R |only tidyfit-0.6.4/tidyfit/R/fit.spikeslab.R |only tidyfit-0.6.4/tidyfit/R/fit.subset.R |only tidyfit-0.6.4/tidyfit/R/fit.svm.R |only tidyfit-0.6.4/tidyfit/R/fit.tvp.R |only tidyfit-0.6.4/tidyfit/R/m.R | 58 +- tidyfit-0.6.4/tidyfit/R/model_definition.R | 7 tidyfit-0.6.4/tidyfit/R/utils.R | 28 - tidyfit-0.6.4/tidyfit/README.md | 153 ++++--- tidyfit-0.6.4/tidyfit/inst/doc/Bootstrapping_Confidence_Intervals.html | 210 ++++++--- tidyfit-0.6.4/tidyfit/inst/doc/Feature_Selection.html | 214 ++++++---- tidyfit-0.6.4/tidyfit/inst/doc/Multinomial_Classification.html | 176 +++++--- tidyfit-0.6.4/tidyfit/inst/doc/Predicting_Boston_House_Prices.R | 14 tidyfit-0.6.4/tidyfit/inst/doc/Predicting_Boston_House_Prices.Rmd | 18 tidyfit-0.6.4/tidyfit/inst/doc/Predicting_Boston_House_Prices.html | 49 +- tidyfit-0.6.4/tidyfit/inst/doc/Rolling_Window_Time_Series_Regression.html | 202 ++++++--- tidyfit-0.6.4/tidyfit/inst/doc/Time-varying_parameters_vs_rolling_windows.html | 178 +++++--- tidyfit-0.6.4/tidyfit/man/dot-fit.adalasso.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.bayes.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.blasso.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.bma.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.boost.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.bridge.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.chisq.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.cor.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.enet.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.genetic.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.gets.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.glm.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.glmm.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.hfr.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.lasso.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.lm.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.mrmr.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.mslm.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.pcr.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.plsr.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.quantile.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.relief.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.rf.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.ridge.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.robust.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.spikeslab.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.subset.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.svm.Rd |only tidyfit-0.6.4/tidyfit/man/dot-fit.tvp.Rd |only tidyfit-0.6.4/tidyfit/man/figures/README-unnamed-chunk-14-1.png |binary tidyfit-0.6.4/tidyfit/man/m.Rd | 58 +- tidyfit-0.6.4/tidyfit/tests/testthat/test-spikeslab.R |only tidyfit-0.6.4/tidyfit/vignettes/Predicting_Boston_House_Prices.Rmd | 18 tidyfit-0.6.4/tidyfit/vignettes/vignette_mc.rds |binary tidyfit-0.6.4/tidyfit/vignettes/vignette_pbhp.rds |binary 136 files changed, 1038 insertions(+), 619 deletions(-)
Title: The Second Dimension of Spatial Association
Description: Most of the current methods explore spatial association using
observations at sample locations, which are defined as the first
dimension of spatial association (FDA). The proposed concept of
the second dimension of spatial association (SDA),
as described in Yongze Song (2022)
<doi:10.1016/j.jag.2022.102834>, aims to extract
in-depth information about the geographical environment from
locations outside sample locations for exploring spatial
association.
Author: Yongze Song [aut, cre]
Maintainer: Yongze Song <yongze.song@outlook.com>
Diff between SecDim versions 2.2 dated 2022-05-25 and 3.2 dated 2023-05-20
DESCRIPTION | 21 - INDEX | 11 MD5 | 19 NAMESPACE | 3 R/data.R | 80 ++-- R/gsdvar.R |only R/zzz.R |only build/vignette.rds |binary data/grids.rda |only inst/doc/SecDim.R | 252 ++++++------ inst/doc/SecDim.html | 1008 +++++++++++++++++++++++++-------------------------- man/grids.Rd |only man/gsdvar.Rd |only 13 files changed, 711 insertions(+), 683 deletions(-)
Title: Sampling and Estimation Methods
Description: Functions to take samples of data, sample size estimation and getting useful estimators such as total, mean, proportion about its population using simple random, stratified and systematic sampling.
Author: Javier Estevez [aut, cre, cph]
Maintainer: Javier Estevez <javier.estase@gmail.com>
Diff between samplingR versions 0.1.3 dated 2023-04-17 and 0.1.4 dated 2023-05-20
samplingR-0.1.3/samplingR/R/allocation.R |only samplingR-0.1.3/samplingR/R/srs.R |only samplingR-0.1.3/samplingR/R/srsdomainestimator.R |only samplingR-0.1.3/samplingR/R/srsestimator.R |only samplingR-0.1.3/samplingR/R/srssamplesize.R |only samplingR-0.1.3/samplingR/R/stratacostallocation.R |only samplingR-0.1.3/samplingR/R/stratacostsamplesize.R |only samplingR-0.1.3/samplingR/R/strataestimator.R |only samplingR-0.1.3/samplingR/R/stratasample.R |only samplingR-0.1.3/samplingR/R/stratasamplesize.R |only samplingR-0.1.3/samplingR/man/allocation.Rd |only samplingR-0.1.3/samplingR/man/srs.Rd |only samplingR-0.1.3/samplingR/man/srsdomainestimator.Rd |only samplingR-0.1.3/samplingR/man/srsestimator.Rd |only samplingR-0.1.3/samplingR/man/srssamplesize.Rd |only samplingR-0.1.3/samplingR/man/stratacostallocation.Rd |only samplingR-0.1.3/samplingR/man/stratacostsamplesize.Rd |only samplingR-0.1.3/samplingR/man/strataestimator.Rd |only samplingR-0.1.3/samplingR/man/stratasample.Rd |only samplingR-0.1.3/samplingR/man/stratasamplesize.Rd |only samplingR-0.1.4/samplingR/DESCRIPTION | 10 +-- samplingR-0.1.4/samplingR/MD5 | 53 +++++++++------- samplingR-0.1.4/samplingR/NAMESPACE | 25 ++++--- samplingR-0.1.4/samplingR/R/srs.domainestimator.R |only samplingR-0.1.4/samplingR/R/srs.estimator.R |only samplingR-0.1.4/samplingR/R/srs.sample.R |only samplingR-0.1.4/samplingR/R/srs.samplesize.R |only samplingR-0.1.4/samplingR/R/strata.allocation.R |only samplingR-0.1.4/samplingR/R/strata.estimator.R |only samplingR-0.1.4/samplingR/R/strata.sample.R |only samplingR-0.1.4/samplingR/R/strata.samplesize.R |only samplingR-0.1.4/samplingR/R/strata.samplesize.cost.R |only samplingR-0.1.4/samplingR/R/sys.estimator.R |only samplingR-0.1.4/samplingR/R/sys.sample.R |only samplingR-0.1.4/samplingR/R/sys.utils.R |only samplingR-0.1.4/samplingR/R/zzz.R | 2 samplingR-0.1.4/samplingR/man/srs.domainestimator.Rd |only samplingR-0.1.4/samplingR/man/srs.estimator.Rd |only samplingR-0.1.4/samplingR/man/srs.sample.Rd |only samplingR-0.1.4/samplingR/man/srs.samplesize.Rd |only samplingR-0.1.4/samplingR/man/strata.allocation.Rd |only samplingR-0.1.4/samplingR/man/strata.estimator.Rd |only samplingR-0.1.4/samplingR/man/strata.sample.Rd |only samplingR-0.1.4/samplingR/man/strata.samplesize.Rd |only samplingR-0.1.4/samplingR/man/strata.samplesize.cost.Rd |only samplingR-0.1.4/samplingR/man/sys.all.samples.Rd |only samplingR-0.1.4/samplingR/man/sys.anova.Rd |only samplingR-0.1.4/samplingR/man/sys.corrwst.Rd |only samplingR-0.1.4/samplingR/man/sys.estimator.Rd |only samplingR-0.1.4/samplingR/man/sys.intracorr.Rd |only samplingR-0.1.4/samplingR/man/sys.sample.Rd |only 51 files changed, 51 insertions(+), 39 deletions(-)
Title: Spatial and Environmental Blocking for K-Fold and LOO
Cross-Validation
Description: Creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments; Investigating and visualising the effective range of spatial autocorrelation in continuous raster covariates and point samples to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.
Author: Roozbeh Valavi [aut, cre] ,
Jane Elith [aut],
Jose Lahoz-Monfort [aut],
Ian Flint [aut],
Gurutzeta Guillera-Arroita [aut]
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>
Diff between blockCV versions 3.1-1 dated 2023-04-08 and 3.1-2 dated 2023-05-20
DESCRIPTION | 8 ++++---- MD5 | 36 ++++++++++++++++++------------------ R/checks.R | 15 +++++++++++++++ R/cv_buffer.R | 1 + R/cv_cluster.R | 1 + R/cv_nndm.R | 2 +- R/cv_spatial.R | 36 ++++++++++++++++++------------------ R/v2_spatialBlock.R | 4 ++-- inst/doc/tutorial_1.R | 2 +- inst/doc/tutorial_1.Rmd | 4 ++-- inst/doc/tutorial_1.html | 34 ++++++++++++++++++---------------- inst/doc/tutorial_2.R | 2 +- inst/doc/tutorial_2.Rmd | 2 +- inst/doc/tutorial_2.html | 6 +++--- man/cv_spatial.Rd | 2 +- man/spatialBlock.Rd | 4 ++-- src/nndm.cpp | 4 ++-- vignettes/tutorial_1.Rmd | 4 ++-- vignettes/tutorial_2.Rmd | 2 +- 19 files changed, 94 insertions(+), 75 deletions(-)
Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis
Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 80 classes of statistical models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
Author: Vincent Arel-Bundock [aut, cre, cph]
,
Marcio Augusto Diniz [ctb] ,
Noah Greifer [ctb] ,
Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Diff between marginaleffects versions 0.11.2 dated 2023-05-13 and 0.12.0 dated 2023-05-20
marginaleffects-0.11.2/marginaleffects/inst/tinytest/_tinysnapshot/summary-comparisons_transform_post.txt |only marginaleffects-0.12.0/marginaleffects/DESCRIPTION | 13 - marginaleffects-0.12.0/marginaleffects/MD5 | 98 +++++----- marginaleffects-0.12.0/marginaleffects/NAMESPACE | 2 marginaleffects-0.12.0/marginaleffects/NEWS.md | 16 + marginaleffects-0.12.0/marginaleffects/R/by.R | 2 marginaleffects-0.12.0/marginaleffects/R/comparisons.R | 7 marginaleffects-0.12.0/marginaleffects/R/get_contrasts.R | 26 +- marginaleffects-0.12.0/marginaleffects/R/get_term_labels.R |only marginaleffects-0.12.0/marginaleffects/R/hypotheses.R | 45 ++++ marginaleffects-0.12.0/marginaleffects/R/hypotheses_joint.R |only marginaleffects-0.12.0/marginaleffects/R/marginal_means.R | 3 marginaleffects-0.12.0/marginaleffects/R/methods.R | 21 +- marginaleffects-0.12.0/marginaleffects/R/plot_comparisons.R | 9 marginaleffects-0.12.0/marginaleffects/R/plot_predictions.R | 8 marginaleffects-0.12.0/marginaleffects/R/plot_slopes.R | 3 marginaleffects-0.12.0/marginaleffects/R/predictions.R | 7 marginaleffects-0.12.0/marginaleffects/R/print.R | 35 ++- marginaleffects-0.12.0/marginaleffects/inst/WORDLIST | 2 marginaleffects-0.12.0/marginaleffects/inst/tinytest/_tinysnapshot/df-t.txt | 4 marginaleffects-0.12.0/marginaleffects/inst/tinytest/_tinysnapshot/print-comparisons_by.txt | 10 - marginaleffects-0.12.0/marginaleffects/inst/tinytest/_tinysnapshot/print-marginal_means.txt | 2 marginaleffects-0.12.0/marginaleffects/inst/tinytest/_tinysnapshot/print-predictions_by.txt | 2 marginaleffects-0.12.0/marginaleffects/inst/tinytest/_tinysnapshot/summary-marginaleffects.txt | 2 marginaleffects-0.12.0/marginaleffects/inst/tinytest/_tinysnapshot/summary-marginaleffects_conf_level_20.txt | 2 marginaleffects-0.12.0/marginaleffects/inst/tinytest/_tinysnapshot/summary-marginaleffects_conf_level_90.txt | 2 marginaleffects-0.12.0/marginaleffects/inst/tinytest/_tinysnapshot/summary-marginalmeans.txt | 4 marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-by.R | 20 -- marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-contrast.R | 4 marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-df.R | 11 - marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-hypotheses.R | 31 +++ marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-hypotheses_joint.R |only marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-hypothesis.R | 4 marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-marginal_means.R | 24 +- marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-MASS.R | 10 - marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-brms.R | 28 ++ marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-gam.R | 4 marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-gamlss.R | 3 marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-glmmTMB.R | 11 - marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-mclogit.R | 6 marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-nlme.R | 2 marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-pscl.R | 6 marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-pkg-stats.R | 14 - marginaleffects-0.12.0/marginaleffects/inst/tinytest/test-variables.R | 4 marginaleffects-0.12.0/marginaleffects/man/deltamethod.Rd | 2 marginaleffects-0.12.0/marginaleffects/man/hypotheses.Rd | 44 ++++ marginaleffects-0.12.0/marginaleffects/man/plot_cap.Rd | 28 +- marginaleffects-0.12.0/marginaleffects/man/plot_cco.Rd | 28 +- marginaleffects-0.12.0/marginaleffects/man/plot_cme.Rd | 28 +- marginaleffects-0.12.0/marginaleffects/man/plot_comparisons.Rd | 29 +- marginaleffects-0.12.0/marginaleffects/man/plot_predictions.Rd | 28 +- marginaleffects-0.12.0/marginaleffects/man/plot_slopes.Rd | 28 +- 52 files changed, 443 insertions(+), 279 deletions(-)
More information about marginaleffects at CRAN
Permanent link
Title: Java GUI for R
Description: Java GUI for R - cross-platform, universal and unified Graphical User Interface for R. For full functionality on Windows and Mac OS X JGR requires a start application which depends on your OS.
Author: Markus Helbig <mhelbig81@googlemail.com>, Simon Urbanek, Ian Fellows
Maintainer: Markus Helbig <mhelbig81@googlemail.com>
Diff between JGR versions 1.9-1 dated 2022-01-10 and 1.9-2 dated 2023-05-20
DESCRIPTION | 12 ++++++------ MD5 | 7 ++++--- R/JGR.R | 2 +- inst/java/JGR.jar |binary man/internals.Rd |only 5 files changed, 11 insertions(+), 10 deletions(-)
Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington' and 'Ludwig' approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as 230Th-U evolution plots.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>
Diff between IsoplotR versions 5.2 dated 2023-03-01 and 5.3 dated 2023-05-20
DESCRIPTION | 8 MD5 | 48 +- NAMESPACE | 1 NEWS.md | 4 R/UPb.R | 24 - R/age.R | 4 R/agespectrum.R | 12 R/bayes.R | 9 R/ci.R | 13 R/commonPb.R | 16 R/concordia.R | 12 R/discordia.R | 3 R/errorellipse.R | 8 R/evolution.R | 19 R/helioplot.R | 2 R/isochron.R | 302 +++++++++----- R/ludwig.R | 1088 +++++++++++++++++++++++++++++------------------------ R/peakfit.R | 8 R/regression.R | 234 +++++------ R/titterington.R | 91 ++-- R/toolbox.R | 119 +++-- R/york.R | 106 ++++- man/age.Rd | 17 man/isochron.Rd | 36 + man/scatterplot.Rd | 4 25 files changed, 1286 insertions(+), 902 deletions(-)
Title: Automatic Unobserved Components and Other Time Series Models
Description: Comprehensive analysis and forecasting
of univariate time series using automatic
unobserved components models and algorithms.
Harvey, AC (1989) <doi:10.1017/CBO9781107049994>.
Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>.
Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>.
Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>
Diff between UComp versions 4.0.1 dated 2023-05-15 and 4.0.2 dated 2023-05-20
UComp-4.0.1/UComp/build |only UComp-4.0.1/UComp/inst |only UComp-4.0.1/UComp/vignettes |only UComp-4.0.2/UComp/DESCRIPTION | 9 ++++----- UComp-4.0.2/UComp/MD5 | 8 +------- 5 files changed, 5 insertions(+), 12 deletions(-)
Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015, <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO' superpixel algorithms were explained in detail in (i) "SLIC Superpixels Compared to State-of-the-art Superpixel Methods", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on [...truncated...]
Author: Lampros Mouselimis [aut, cre] ,
Sight Machine [cph] ,
Johannes Buchner [cph] ,
Mohammad Haghighat [cph] ,
Radhakrishna Achanta [cph] ),
Oleh Onyshchak [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
Diff between OpenImageR versions 1.2.8 dated 2022-12-18 and 1.2.9 dated 2023-05-20
DESCRIPTION | 8 +- MD5 | 22 ++--- NEWS.md | 6 + README.md | 8 +- inst/doc/Gabor_Feature_Extraction.html | 4 - inst/doc/Image_segmentation_superpixels_clustering.html | 4 - inst/doc/The_OpenImageR_package.html | 18 ++-- inst/doc/Warp_Affine.html | 6 - src/Makevars | 1 src/Makevars.win | 3 src/extract_inst_folder_headers.cpp | 1 tests/testthat/test-norm_matrix_range.R | 63 ++++++++-------- 12 files changed, 75 insertions(+), 69 deletions(-)
Title: Nonparametric Tests in Spatial Statistics
Description: Nonparametric test of independence between a pair of spatial objects
(random fields, point processes) based on random shifts with torus or variance correction. See
Mrkvička et al. (2021) <doi:10.1016/j.spasta.2020.100430>,
Dvořák et al. (2022) <doi:10.1111/insr.12503>,
Dvořák and Mrkvička (2022) <arxiv:2210.05424>.
Author: Jiri Dvorak [aut, cre] ,
Tomas Mrkvicka [ctb]
Maintainer: Jiri Dvorak <dvorak@karlin.mff.cuni.cz>
Diff between NTSS versions 0.1.1 dated 2023-04-25 and 0.1.2 dated 2023-05-20
DESCRIPTION | 8 ++++---- MD5 | 6 ++++-- NAMESPACE | 2 ++ R/PM.test.R |only man/PM.test.Rd |only 5 files changed, 10 insertions(+), 6 deletions(-)
Title: Prediction Intervals for Synthetic Control Methods with Multiple
Treated Units and Staggered Adoption
Description: Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <https://mdcattaneo.github.io/papers/Cattaneo-Feng-Titiunik_2021_JASA.pdf>.
Author: Matias Cattaneo [aut],
Yingjie Feng [aut],
Filippo Palomba [aut, cre],
Rocio Titiunik [aut]
Maintainer: Filippo Palomba <fpalomba@princeton.edu>
Diff between scpi versions 2.2.3 dated 2023-05-11 and 2.2.4 dated 2023-05-20
DESCRIPTION | 6 MD5 | 22 - R/scdata.R | 32 - R/scdataMulti.R | 42 +- R/scest.R | 110 ++++- R/scpi.R | 49 +- R/scplotMulti.R | 959 +++++++++++++++++++++++------------------------ R/supporting_functions.R | 126 +++++- man/scdata.Rd | 14 man/scdataMulti.Rd | 5 man/scest.Rd | 41 +- man/scpi.Rd | 44 +- 12 files changed, 853 insertions(+), 597 deletions(-)
Title: Multivariate Autoregressive State-Space Modeling
Description: The MARSS package provides maximum-likelihood parameter
estimation for constrained and unconstrained linear multivariate autoregressive
state-space (MARSS) models, including partially deterministic models. MARSS models are a class
of dynamic linear model (DLM) and vector autoregressive model (VAR)
model. Fitting available via Expectation-Maximization (EM), BFGS (using optim), and 'TMB'
(using the 'marssTMB' companion package). Functions are provided for parametric and
innovations bootstrapping, Kalman filtering and smoothing, model selection criteria including
bootstrap AICb, confidences intervals via the Hessian approximation or bootstrapping, and all
conditional residual types. See the user guide for examples of dynamic factor analysis,
dynamic linear models, outlier and shock detection, and multivariate AR-p models.
Online workshops (lectures, eBook, and computer labs)
at <https://atsa-es.github.io/>.
Author: Elizabeth Eli Holmes [aut, cre]
,
Eric J. Ward [aut] ,
Mark D. Scheuerell [aut] ,
Kellie Wills [aut]
Maintainer: Elizabeth Eli Holmes <eli.holmes@noaa.gov>
Diff between MARSS versions 3.11.4 dated 2021-12-15 and 3.11.8 dated 2023-05-20
MARSS-3.11.4/MARSS/inst/doc/Quick_Start.Rnw |only MARSS-3.11.4/MARSS/inst/doc/Quick_Start.pdf |only MARSS-3.11.4/MARSS/inst/doc/index.html |only MARSS-3.11.4/MARSS/vignettes/Quick_Start.Rnw |only MARSS-3.11.8/MARSS/DESCRIPTION | 49 ++ MARSS-3.11.8/MARSS/MD5 | 209 ++++++------ MARSS-3.11.8/MARSS/NAMESPACE | 58 +-- MARSS-3.11.8/MARSS/NEWS.md | 61 +++ MARSS-3.11.8/MARSS/R/CSEGriskfigure.R | 2 MARSS-3.11.8/MARSS/R/MARSS-methods.R |only MARSS-3.11.8/MARSS/R/MARSS.R | 215 ++++++------ MARSS-3.11.8/MARSS/R/MARSSboot.R | 17 - MARSS-3.11.8/MARSS/R/MARSScv.R |only MARSS-3.11.8/MARSS/R/MARSSkem.r | 4 MARSS-3.11.8/MARSS/R/MARSSoptim.r | 6 MARSS-3.11.8/MARSS/R/MARSSsimulate.R | 6 MARSS-3.11.8/MARSS/R/accuracy_marssMLE.R | 28 - MARSS-3.11.8/MARSS/R/autoplot_marssMLE.R | 42 +- MARSS-3.11.8/MARSS/R/autoplot_marssPredict.R | 6 MARSS-3.11.8/MARSS/R/checkMARSSInputs.r | 2 MARSS-3.11.8/MARSS/R/forecast_marssMLE.R | 4 MARSS-3.11.8/MARSS/R/glance_marssMLE.R | 2 MARSS-3.11.8/MARSS/R/is_marssMLE.r | 10 MARSS-3.11.8/MARSS/R/onLoad.R | 22 + MARSS-3.11.8/MARSS/R/plot_marssMLE.R | 5 MARSS-3.11.8/MARSS/R/predict_marssMLE.R | 2 MARSS-3.11.8/MARSS/R/print_marssMLE.r | 18 - MARSS-3.11.8/MARSS/R/toLatex_marssMODEL.R | 14 MARSS-3.11.8/MARSS/R/utility_functions.R | 13 MARSS-3.11.8/MARSS/README.md |only MARSS-3.11.8/MARSS/build/vignette.rds |binary MARSS-3.11.8/MARSS/inst/CITATION | 12 MARSS-3.11.8/MARSS/inst/WORDLIST |only MARSS-3.11.8/MARSS/inst/doc/Chapter_CombiningTrendData.R | 3 MARSS-3.11.8/MARSS/inst/doc/Chapter_DFA.R | 10 MARSS-3.11.8/MARSS/inst/doc/Chapter_KFAS.R | 4 MARSS-3.11.8/MARSS/inst/doc/Chapter_MARp.R | 6 MARSS-3.11.8/MARSS/inst/doc/Chapter_SealPopStructure.R | 18 - MARSS-3.11.8/MARSS/inst/doc/Chapter_StructuralBreaks.R | 1 MARSS-3.11.8/MARSS/inst/doc/Chapter_Structural_TS.R | 9 MARSS-3.11.8/MARSS/inst/doc/EMDerivation.Rnw | 253 +++++++++------ MARSS-3.11.8/MARSS/inst/doc/EMDerivation.pdf |binary MARSS-3.11.8/MARSS/inst/doc/Learning_MARSS.Rmd |only MARSS-3.11.8/MARSS/inst/doc/Learning_MARSS.html |only MARSS-3.11.8/MARSS/inst/doc/Quick_Examples.R | 10 MARSS-3.11.8/MARSS/inst/doc/Quick_Start.R |only MARSS-3.11.8/MARSS/inst/doc/Quick_Start.Rmd |only MARSS-3.11.8/MARSS/inst/doc/Quick_Start.html |only MARSS-3.11.8/MARSS/inst/doc/Residuals.Rnw | 4 MARSS-3.11.8/MARSS/inst/doc/Residuals.pdf |binary MARSS-3.11.8/MARSS/inst/doc/UserGuide.pdf |binary MARSS-3.11.8/MARSS/man/CSEGriskfigure.Rd | 1 MARSS-3.11.8/MARSS/man/CSEGtmufigure.Rd | 1 MARSS-3.11.8/MARSS/man/MARSS-package.Rd | 56 +-- MARSS-3.11.8/MARSS/man/MARSS.Rd | 26 - 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Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-03-04 0.2.0
2018-09-16 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-01-27 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-01-16 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-04-04 0.6.1
2023-03-26 0.6.0
2022-08-16 0.5.0
2022-02-25 0.4.1
2022-02-14 0.4.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-11-23 1.4.8
2022-11-15 1.4.7
2021-06-17 1.4.6
2021-02-13 1.4.5.1
2020-11-21 1.4.5
2020-06-08 1.4.4
2020-05-21 1.4.3
2020-03-14 1.4.2
2020-03-06 1.4.1
2020-02-05 1.4.0.2
2019-11-22 1.4.0.1
2019-11-07 1.4.0
2019-09-14 1.3.2
2019-08-22 1.3.1
2019-07-18 1.3.0
2019-04-12 1.2.4
2019-03-08 1.2.3
2019-02-06 1.2.2
2018-12-19 1.2.1
2018-12-06 1.2.0
2018-11-23 1.1.2
2018-11-20 1.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-05-02 0.10.2
2020-04-16 0.10.1
2017-12-12 0.10.0
2017-10-31 0.9.4
2017-10-02 0.9.3
2017-09-20 0.9.2
2017-08-20 0.9.1
2017-08-19 0.9.0
2017-07-19 0.8.0
2017-06-22 0.7.0
2017-06-06 0.6.0
2017-05-25 0.5.1
2017-05-23 0.5.0
2017-05-16 0.4.0
2017-05-05 0.3.1
2017-05-04 0.3.0
2017-04-16 0.2-0