Title: Policy Learning via Doubly Robust Empirical Welfare Maximization
over Trees
Description: Learn optimal policies via doubly robust empirical
welfare maximization over trees. Given doubly robust reward estimates, this package
finds a rule-based treatment prescription policy, where the policy takes the form of
a shallow decision tree that is globally (or close to) optimal.
Author: Erik Sverdrup [aut, cre],
Ayush Kanodia [aut],
Zhengyuan Zhou [aut],
Susan Athey [aut],
Stefan Wager [aut]
Maintainer: Erik Sverdrup <erikcs@stanford.edu>
Diff between policytree versions 1.1.1 dated 2021-07-07 and 1.2.0 dated 2022-03-17
DESCRIPTION | 14 ++++++------ MD5 | 34 +++++++++++++++++------------- NAMESPACE | 3 ++ R/causal_forest-scores.R | 3 ++ R/causal_survival_forest-scores.R |only R/data.R | 2 - R/hybrid_policy_tree.R |only R/instrumental_forest-scores.R | 6 +++++ R/policy_tree.R | 43 ++++++++++++++++++++++++++++++++------ R/policytree-package.R | 4 +-- R/utils.R |only man/conditional_means.Rd | 9 ++++++- man/double_robust_scores.Rd | 9 ++++++- man/gen_data_mapl.Rd | 2 - man/hybrid_policy_tree.Rd |only man/make_tree.Rd |only man/policy_tree.Rd | 18 +++++++++++++-- man/policytree-package.Rd | 4 +-- man/predict.policy_tree.Rd | 2 - man/predict_test_tree.Rd |only src/RcppExports.cpp | 5 ++++ 21 files changed, 117 insertions(+), 41 deletions(-)
Title: Fuzzy Measure Tools
Description: Various tools for handling fuzzy measures, calculating Shapley value and interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment
is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package. Please refer to the following:
[1] <https://personal-sites.deakin.edu.au/~gleb/fmtools.html>
[2] G. Beliakov, H. Bustince, T. Calvo, 'A Practical Guide to Averaging', Springer, (2016, ISBN: 978-3-319-24753-3).
[3] G. Beliakov, S. James, J-Z. Wu, 'Discrete Fuzzy Measures', Springer, (2020, ISBN: 978-3-030-15305-2).
Author: Gleb Beliakov [aut, cre],
Quan Vu [ctb],
Andrei Kelarev [ctb],
Michel Berkelaar [ctb],
Kjell Eikland [ctb],
Samuel E. Buttrey [ctb],
Stefan I. Larimore [ctb],
Timothy A. Davis [ctb],
John Gilbert [ctb],
Esmond Ng [ctb],
Peter Notebaert [ctb],
Richard [...truncated...]
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>
Diff between Rfmtool versions 4.1.4 dated 2021-07-27 and 4.1.5 dated 2022-03-17
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ inst/doc/Rfmtool_manual.pdf |binary src/Makevars | 2 +- src/Makevars.win | 2 +- src/fmrandom.cpp | 3 ++- src/wrapperpy.cpp | 33 +++++++++++++++++++++++++++++++++ 7 files changed, 47 insertions(+), 13 deletions(-)
Title: Authenticated HTTP Request Client for the 'Hakai' API
Description: Initializes a class that obtains API credentials and provides
a method to use those credentials to make GET requests to the 'Hakai'
API server. Usage instructions are documented at
<https://hakaiinstitute.github.io/hakai-api/>.
Author: Taylor Denouden [aut, cre],
Brett Johnson [aut],
Nate Rosenstock [ctb],
Chris Davis [ctb]
Maintainer: Taylor Denouden <taylor.denouden@hakai.org>
Diff between hakaiApi versions 1.0.0 dated 2021-05-07 and 1.0.1 dated 2022-03-17
DESCRIPTION | 33 ++----- MD5 | 12 +- NAMESPACE | 1 NEWS.md | 10 ++ R/client.R | 6 - build/vignette.rds |binary inst/doc/filtering.html | 218 ++++++++++++++++++++++++++++++++++++++++++++++-- 7 files changed, 244 insertions(+), 36 deletions(-)
Title: Sequential Parameter Optimization Toolbox
Description: A set of tools for model-based optimization and tuning of
algorithms (hyperparameter tuning respectively hyperparameter optimization). It includes surrogate models, optimizers, and design of experiment
approaches. The main interface is spot, which uses sequentially updated
surrogate models for the purpose of efficient optimization. The main goal is
to ease the burden of objective function evaluations, when a single evaluation
requires a significant amount of resources.
Author: Thomas Bartz-Beielstein [aut, cre]
,
Martin Zaefferer [aut] ,
Frederik Rehbach [aut] ,
Margarita Rebolledo [ctb],
Joerg Stork [ctb] ,
Christian Lasarczyk [ctb]
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>
Diff between SPOT versions 2.5.18 dated 2022-01-03 and 2.8.2 dated 2022-03-17
SPOT-2.5.18/SPOT/man/checkLowerNotEqualsUpper.Rd |only SPOT-2.5.18/SPOT/man/spotPlotSeverity.Rd |only SPOT-2.8.2/SPOT/DESCRIPTION | 8 SPOT-2.8.2/SPOT/MD5 | 143 - SPOT-2.8.2/SPOT/NAMESPACE | 24 SPOT-2.8.2/SPOT/NEWS.md | 200 ++ SPOT-2.8.2/SPOT/R/benchOptim.R |only SPOT-2.8.2/SPOT/R/buildBO.R | 54 SPOT-2.8.2/SPOT/R/buildRandomSearchDummy.R |only SPOT-2.8.2/SPOT/R/buildTree.R | 16 SPOT-2.8.2/SPOT/R/evaluate.R | 34 SPOT-2.8.2/SPOT/R/funContinuous.R | 633 ++++--- SPOT-2.8.2/SPOT/R/funMultiObjectiveOptim.R |only SPOT-2.8.2/SPOT/R/initialInputCheck.R | 34 SPOT-2.8.2/SPOT/R/objectiveFunctionEvaluation.R | 162 + SPOT-2.8.2/SPOT/R/optimLHD.R | 7 SPOT-2.8.2/SPOT/R/optimLagp.R |only SPOT-2.8.2/SPOT/R/optimRanddomSearch.R |only SPOT-2.8.2/SPOT/R/reportSeverity.R | 467 +++++ SPOT-2.8.2/SPOT/R/resBench01.R |only SPOT-2.8.2/SPOT/R/spot.R | 630 +++++-- SPOT-2.8.2/SPOT/R/spotTools.R | 238 ++ SPOT-2.8.2/SPOT/build/partial.rdb |binary SPOT-2.8.2/SPOT/build/vignette.rds |binary SPOT-2.8.2/SPOT/data/resBench01.rda |only SPOT-2.8.2/SPOT/inst/doc/SPOTVignetteNutshell.R | 534 +++++- SPOT-2.8.2/SPOT/inst/doc/SPOTVignetteNutshell.Rmd | 659 +++++++ SPOT-2.8.2/SPOT/inst/doc/SPOTVignetteNutshell.html | 1750 +++++++++++++++----- SPOT-2.8.2/SPOT/man/buildTreeModel.Rd | 8 SPOT-2.8.2/SPOT/man/buildrsdummy.Rd |only SPOT-2.8.2/SPOT/man/checkFeasibilityNlopGnIngres.Rd |only SPOT-2.8.2/SPOT/man/checkLowerSmallerThanUpper.Rd | 17 SPOT-2.8.2/SPOT/man/code2nat.Rd | 4 SPOT-2.8.2/SPOT/man/evaluateModel.Rd | 15 SPOT-2.8.2/SPOT/man/funBard.Rd | 11 SPOT-2.8.2/SPOT/man/funBeale.Rd | 8 SPOT-2.8.2/SPOT/man/funBox3d.Rd | 8 SPOT-2.8.2/SPOT/man/funBranin.Rd | 2 SPOT-2.8.2/SPOT/man/funBrownBs.Rd | 6 SPOT-2.8.2/SPOT/man/funFreudRoth.Rd | 8 SPOT-2.8.2/SPOT/man/funGauss.Rd | 8 SPOT-2.8.2/SPOT/man/funGoldsteinPrice.Rd | 2 SPOT-2.8.2/SPOT/man/funGulf.Rd | 13 SPOT-2.8.2/SPOT/man/funHelical.Rd | 16 SPOT-2.8.2/SPOT/man/funIshigami.Rd | 28 SPOT-2.8.2/SPOT/man/funJennSamp.Rd | 6 SPOT-2.8.2/SPOT/man/funMeyer.Rd | 6 SPOT-2.8.2/SPOT/man/funMoo.Rd |only SPOT-2.8.2/SPOT/man/funPowellBs.Rd | 8 SPOT-2.8.2/SPOT/man/funPowellS.Rd | 10 SPOT-2.8.2/SPOT/man/funRosen.Rd | 2 SPOT-2.8.2/SPOT/man/funRosen2.Rd | 2 SPOT-2.8.2/SPOT/man/funShiftedSphere.Rd | 6 SPOT-2.8.2/SPOT/man/funSoblev99.Rd | 36 SPOT-2.8.2/SPOT/man/funSphere.Rd | 2 SPOT-2.8.2/SPOT/man/getMultiStartPoints.Rd |only SPOT-2.8.2/SPOT/man/getNatDesignFromCoded.Rd | 6 SPOT-2.8.2/SPOT/man/getPower.Rd |only SPOT-2.8.2/SPOT/man/getSampleSize.Rd |only SPOT-2.8.2/SPOT/man/makeMoreFunList.Rd |only SPOT-2.8.2/SPOT/man/makeSpotFunList.Rd |only SPOT-2.8.2/SPOT/man/obj.plgpEI.Rd |only SPOT-2.8.2/SPOT/man/objectiveFunctionEvaluation.Rd | 17 SPOT-2.8.2/SPOT/man/optimLagp.Rd |only SPOT-2.8.2/SPOT/man/optimRSfun.Rd |only SPOT-2.8.2/SPOT/man/plgpEI.Rd |only SPOT-2.8.2/SPOT/man/plot.spotSeverity.Rd |only SPOT-2.8.2/SPOT/man/predict.rsdummy.Rd |only SPOT-2.8.2/SPOT/man/print.spotSeverity.Rd |only SPOT-2.8.2/SPOT/man/resBench01.Rd |only SPOT-2.8.2/SPOT/man/runOptim.Rd |only SPOT-2.8.2/SPOT/man/sann2spot.Rd | 6 SPOT-2.8.2/SPOT/man/spot.Rd | 25 SPOT-2.8.2/SPOT/man/spotControl.Rd | 40 SPOT-2.8.2/SPOT/man/spotFillControlList.Rd | 2 SPOT-2.8.2/SPOT/man/spotLoop.Rd | 6 SPOT-2.8.2/SPOT/man/spotPlotSeverityBasic.Rd |only SPOT-2.8.2/SPOT/man/spotPlotTest.Rd |only SPOT-2.8.2/SPOT/man/spotSeverity.Rd | 54 SPOT-2.8.2/SPOT/man/spotSeverityBasic.Rd |only SPOT-2.8.2/SPOT/man/transformX.Rd |only SPOT-2.8.2/SPOT/man/updateSeedFromXnew.Rd |only SPOT-2.8.2/SPOT/tests/testthat/Rplots.pdf |binary SPOT-2.8.2/SPOT/tests/testthat/test.optim.R | 26 SPOT-2.8.2/SPOT/tests/testthat/test.severityPower.R |only SPOT-2.8.2/SPOT/tests/testthat/test.tools.R |only SPOT-2.8.2/SPOT/vignettes/SPOTBenchmark.R | 6 SPOT-2.8.2/SPOT/vignettes/SPOTKrigingVignette.R | 12 SPOT-2.8.2/SPOT/vignettes/SPOTVignetteNutshell.Rmd | 659 +++++++ 89 files changed, 5394 insertions(+), 1290 deletions(-)
Title: Discrete Time Simulation of Mosquito-Borne Pathogen Transmission
Description: Provides a framework based on S3 dispatch for constructing models
of mosquito-borne pathogen transmission which are constructed from submodels of various
components (i.e. immature and adult mosquitoes, human populations). A consistent mathematical
expression for the distribution of bites on hosts means that different models
(stochastic, deterministic, etc.) can be coherently incorporated and updated
over a discrete time step.
Author: Sean L. Wu [aut, cre] ,
David L. Smith [aut] ,
Sophie Libkind [ctb]
Maintainer: Sean L. Wu <slwood89@gmail.com>
Diff between MicroMoB versions 0.0.11 dated 2022-03-08 and 0.0.12 dated 2022-03-17
DESCRIPTION | 10 +++++----- MD5 | 22 +++++++++++----------- NAMESPACE | 3 --- NEWS.md | 7 +++++++ R/MicroMoB.R | 5 ----- R/mosquito_RM.R | 12 ++++++------ inst/doc/BH_aqua.html | 2 +- inst/doc/BQ_mosquito.html | 2 +- inst/doc/MOI_human.html | 6 +++--- inst/doc/RM_mosquito.html | 2 +- inst/doc/RM_transmission.html | 2 +- tests/testthat/test-api_mosquitoes_plumber.R | 4 ++-- 12 files changed, 38 insertions(+), 39 deletions(-)
Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs
Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre] ,
Henrik Singmann [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>
Diff between gratia versions 0.7.0 dated 2022-02-07 and 0.7.2 dated 2022-03-17
DESCRIPTION | 8 MD5 | 205 NAMESPACE | 17 NEWS.md | 88 R/add-methods.R | 36 R/basis-funs.R | 26 R/concurvity.R |only R/data-sim.R | 27 R/derivatives.R | 173 R/draw-gam.R | 220 R/draw-methods.R | 7 R/edf.R | 7 R/fitted_values.R | 6 R/parametric-effects.R | 4 R/smooth-data.R |only R/smooth-estimates.R | 588 R/utililties.R | 42 build/partial.rdb |binary build/vignette.rds |binary data/ref_sims.rda |binary inst/doc/gratia.html | 1 man/basis.Rd | 12 man/draw.gam.Rd | 28 man/draw.smooth_estimates.Rd | 21 man/draw.smooth_samples.Rd | 2 man/eval_smooth.Rd | 24 man/gw_functions.Rd |only man/model_concurvity.Rd |only man/smooth_data.Rd |only man/smooth_estimates.Rd | 11 man/tidy_basis.Rd | 5 tests/Examples/gratia-Ex.Rout.save | 93 tests/testthat/_snaps/by-variables/continuous-by-variable-smmoth.svg | 2 tests/testthat/_snaps/compare-smooths/compare-smooths-all-smooths.svg | 342 tests/testthat/_snaps/compare-smooths/compare-smooths-bottom-legened.svg | 348 tests/testthat/_snaps/compare-smooths/compare-smooths-set-nrow-ncol.svg | 342 tests/testthat/_snaps/concurvity |only tests/testthat/_snaps/draw-gam/draw-gam-dlnm-m.svg | 4975 --- tests/testthat/_snaps/draw-gam/draw-gam-m-1-smooth-constant-fun.svg |only tests/testthat/_snaps/draw-gam/draw-gam-m-1-smooth-constant.svg |only tests/testthat/_snaps/draw-gam/draw-gam-m-1-smooth-fun.svg |only tests/testthat/_snaps/draw-gam/draw-gam-m-1-smooth-hotpink-residuals.svg |only tests/testthat/_snaps/draw-gam/draw-gam-m-bam.svg | 4000 --- tests/testthat/_snaps/draw-gam/draw-gam-m-gam-constant-fun.svg |only tests/testthat/_snaps/draw-gam/draw-gam-m-gam-constant.svg |only tests/testthat/_snaps/draw-gam/draw-gam-m-gam-fun.svg |only tests/testthat/_snaps/draw-gam/draw-gam-m-gam.svg | 4000 --- tests/testthat/_snaps/draw-gam/draw-gam-m-gamgcv.svg | 4000 --- tests/testthat/_snaps/draw-gam/draw-gam-m-gamm.svg | 4000 --- tests/testthat/_snaps/draw-gam/draw-gam-m-gamm4.svg | 4000 --- tests/testthat/_snaps/draw-gam/draw-gam-m-gaulss.svg | 4000 --- tests/testthat/_snaps/draw-gam/draw-gam-m-scat.svg | 4000 --- tests/testthat/_snaps/draw-gam/draw-gam-parametric-only-model.svg |only tests/testthat/_snaps/draw-gam/draw-gam-quadvar-te.svg |only tests/testthat/_snaps/draw-gam/draw-gam-rm1.svg | 5267 ---- tests/testthat/_snaps/draw-gam/draw-gam-trivar-te.svg |only tests/testthat/_snaps/draw-methods/draw-2d-smooth-diff-contour-colour.svg | 122 tests/testthat/_snaps/draw-methods/draw-2d-smooth-with-20-contour-bins.svg | 149 tests/testthat/_snaps/draw-methods/draw-2d-smooth-with-5-contour-bins.svg | 105 tests/testthat/_snaps/draw-methods/draw-2d-smooth-with-spectral-palette.svg | 5166 ---- tests/testthat/_snaps/draw-methods/draw-2d-smooth-without-contours.svg | 94 tests/testthat/_snaps/draw-methods/draw-2d-smooth.svg | 122 tests/testthat/_snaps/draw-methods/draw-am-with-2d-smooth.svg | 7166 +---- tests/testthat/_snaps/draw-methods/draw-distributed-lag-model-issue-116.svg | 4975 --- tests/testthat/_snaps/draw-methods/draw-evaluated-re-smooth.svg | 76 tests/testthat/_snaps/draw-methods/draw-evaulated-2d-smooth-standard-errors.svg | 173 tests/testthat/_snaps/draw-methods/draw-fs-smooth-with-discrete-plasma-palette.svg | 1500 - tests/testthat/_snaps/draw-methods/draw-gam-model-with-fs-smooth.svg | 1500 - tests/testthat/_snaps/draw-methods/draw-gam-model-with-ranef-smooth.svg | 5267 ---- tests/testthat/_snaps/draw-methods/draw-gam-smooth-for-selected-smooth-character.svg | 1269 - tests/testthat/_snaps/draw-methods/draw-gam-smooth-for-selected-smooth-logical.svg | 1272 - tests/testthat/_snaps/draw-methods/draw-gam-smooth-for-selected-smooth-numeric.svg | 1269 - tests/testthat/_snaps/draw-methods/draw-gam-smooth-for-two-selected-smooths-character.svg | 2533 -- tests/testthat/_snaps/draw-methods/draw-gam-smooth-for-two-selected-smooths-logical.svg | 2533 -- tests/testthat/_snaps/draw-methods/draw-gam-smooth-for-two-selected-smooths-numeric.svg | 2533 -- tests/testthat/_snaps/draw-methods/draw-gam-with-overall-uncertainty-false.svg | 4000 --- tests/testthat/_snaps/draw-methods/draw-model-with-fs-smooth-fixed-scales.svg | 1500 - tests/testthat/_snaps/draw-methods/draw-model-with-ranef-smooth-fixed-scales.svg | 5269 ---- tests/testthat/_snaps/draw-methods/draw-selected-factor-by-smooth-samples-for-gam-m3.svg | 9412 ------- tests/testthat/_snaps/draw-methods/draw-selected-smooth-samples-for-gam-m3.svg | 3128 -- tests/testthat/_snaps/draw-methods/draw-simple-multi-smooth-am-with-fixed-scales.svg | 5098 ---- tests/testthat/_snaps/draw-methods/draw-simple-multi-smooth-am.svg | 5074 ---- tests/testthat/_snaps/draw-methods/draw-simple-partial-residuals-with-fixed-scales.svg | 9162 ------- tests/testthat/_snaps/draw-methods/draw-simple-partial-residuals.svg | 9184 ------- tests/testthat/_snaps/draw-methods/draw-smooth-samples-for-bivariate-gam-contours.svg | 339 tests/testthat/_snaps/draw-methods/draw-smooth-samples-for-gam-m1.svg |12550 ---------- tests/testthat/_snaps/draw-methods/draw-smooth-samples-for-gam-m2.svg | 244 tests/testthat/_snaps/draw-methods/draw-smooth-samples-for-gam-m3-fixed-scales.svg |12512 --------- tests/testthat/_snaps/draw-methods/draw-smooth-samples-for-gam-m3.svg |12540 --------- tests/testthat/_snaps/draw-methods/draw-smooth-samples-for-gam-n-samples.svg | 5276 ---- tests/testthat/_snaps/draw-methods/draw-smooth-samples-for-m1-n-samples.svg | 5292 ---- tests/testthat/_snaps/draw-methods/draw-smooth-samples-for-m2-n-samples.svg | 198 tests/testthat/_snaps/draw-methods/draw-std-error-of-2d-smooth.svg | 173 tests/testthat/_snaps/draw-methods/draw-with-continuous-by-var-fixed-scale.svg | 2 tests/testthat/_snaps/draw-methods/draw-with-continuous-by-variable-smooth.svg | 2 tests/testthat/_snaps/draw-methods/issue-73-draw-uses-fixed-scales-if-asked-for-them.svg | 3000 -- tests/testthat/_snaps/draw-parametric-effects/draw-parametric-effects-m-only-para.svg |only tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-bivar-t2.svg | 132 tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-bivar-te.svg | 125 tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-bivar.svg | 166 tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-quadvar-t2.svg |only tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-quadvar-te.svg |only tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-quadvar.svg |only tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-trivar-t2.svg |only tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-trivar-te.svg |only tests/testthat/_snaps/draw-smooth-estimates/draw-smooth-estimates-su-m-trivar.svg |only tests/testthat/setup.R | 37 tests/testthat/test-concurvity.R |only tests/testthat/test-draw-gam.R | 83 tests/testthat/test-draw-methods.R | 69 tests/testthat/test-draw-parametric-effects.R | 7 tests/testthat/test-draw-smooth-estimates.R | 51 tests/testthat/test-edf.R | 24 tests/testthat/test-parametric-effects.R | 10 tests/testthat/test-utilities.R | 4 115 files changed, 17070 insertions(+), 166344 deletions(-)
Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation
(ODE) based models typically employed in quantitative pharmacology and
systems biology.
Author: Kyle T Baron [aut, cre] ,
Bill Gillespie [ctb],
Charles Margossian [ctb],
Devin Pastoor [ctb],
Bill Denney [ctb] ,
Dilawar Singh [ctb],
Felicien Le Louedec [ctb] ,
Timothy Waterhouse [ctb] ,
Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>
Diff between mrgsolve versions 1.0.0 dated 2022-01-20 and 1.0.2 dated 2022-03-17
DESCRIPTION | 29 +- MD5 | 46 +-- NAMESPACE | 4 R/chain.R | 2 R/class_ev.R | 108 ++++++-- R/class_evd.R |only R/class_mrgmod.R | 2 R/data_set.R | 237 +++++++++++------- R/events.R | 534 +++++++++++++++++++++-------------------- R/model_include.R | 4 R/mrgsolve.R | 61 +--- inst/base/modelheader.h | 17 - inst/base/mrgsolv.h | 4 inst/base/mrgsolve-evtools.h |only man/as.ev.Rd | 13 man/as_data_set.Rd | 28 +- man/design.Rd | 2 man/ev-class.Rd | 2 man/ev.Rd | 2 man/ev_seq.Rd | 10 man/evd.Rd |only man/lctran.Rd | 45 ++- src/datarecord.cpp | 5 src/devtran.cpp | 11 tests/testthat/test-data_set.R | 26 + tests/testthat/test-evd.R |only 26 files changed, 700 insertions(+), 492 deletions(-)
Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Description: Contains functions to perform Bayesian inference
using a spectral analysis of Gaussian process priors.
Gaussian processes are represented with a Fourier series
based on cosine basis functions. Currently the package
includes parametric linear models, partial linear additive
models with/without shape restrictions, generalized linear
additive models with/without shape restrictions, and
density estimation model. To maximize computational
efficiency, the actual Markov chain Monte Carlo sampling
for each model is done using codes written in FORTRAN 90.
This software has been developed using funding supported by
Basic Science Research Program through the National Research
Foundation of Korea (NRF) funded by the Ministry of Education
(no. NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).
Author: Seongil Jo [aut, cre],
Taeryon Choi [aut],
Beomjo Park [aut, cre],
Peter J. Lenk [ctb]
Maintainer: Beomjo Park <beomjop@andrew.cmu.edu>
Diff between bsamGP versions 1.2.3 dated 2020-03-21 and 1.2.4 dated 2022-03-17
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- README.md | 4 ++-- src/ToolsRfunf.f90 | 5 +++-- src/bsarbig.f90 | 1 + 5 files changed, 14 insertions(+), 12 deletions(-)
Title: Handle 'JSON-stat' Format in R
Description: Handle 'JSON-stat' format (<https://json-stat.org>) in R.
Not all features are supported, especially the extensive metadata
features of 'JSON-stat'.
Author: Aaron Schumacher, Håkon Malmedal, Måns Magnusson
Maintainer: Aaron Schumacher <ajschumacher@gmail.com>
Diff between rjstat versions 0.4.1 dated 2020-03-22 and 0.4.2 dated 2022-03-17
DESCRIPTION | 8 ++++---- LICENSE | 2 +- MD5 | 8 ++++---- R/jsonstat_methods.R | 2 +- README.md | 2 +- 5 files changed, 11 insertions(+), 11 deletions(-)
Title: The Ramer-Douglas-Peucker Algorithm
Description: Pretty fast implementation of the Ramer-Douglas-Peucker algorithm for reducing the number of points on a 2D curve.
Urs Ramer (1972), "An iterative procedure for the polygonal approximation of plane curves" <doi:10.1016/S0146-664X(72)80017-0>.
David H. Douglas and Thomas K. Peucker (1973), "Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or its Caricature" <doi:10.3138/FM57-6770-U75U-7727>.
Author: Robert Dahl Jacobsen [aut, cre]
Maintainer: Robert Dahl Jacobsen <cran@dahl-jacobsen.dk>
Diff between RDP versions 0.2.0 dated 2021-10-14 and 0.2.3 dated 2022-03-17
DESCRIPTION | 8 +-- MD5 | 17 ++++--- build/partial.rdb |binary man/figures |only src/Makevars | 2 src/Makevars.win | 2 src/RamerDouglasPeucker.cpp | 97 ++++++++++++++++++++++++++++++-------------- src/RamerDouglasPeucker.h | 3 - src/RcppExports.cpp | 5 ++ src/wrapper.cpp | 10 ++-- 10 files changed, 94 insertions(+), 50 deletions(-)
Title: Interface to Open Collaboration Services (OCS) REST API
Description: Provides an Interface to Open Collaboration Services 'OCS' (<https://www.open-collaboration-services.org/>) REST API.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Diff between ocs4R versions 0.2-2 dated 2021-11-01 and 0.2-3 dated 2022-03-17
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 7 +++++++ R/ocs4R.R | 4 ++-- R/ocsRequest.R | 2 +- README.md | 4 ++-- man/ocs4R.Rd | 4 ++-- tests/testthat/test_api_webdav.R | 4 ++++ 8 files changed, 29 insertions(+), 18 deletions(-)
Title: Simulate with 'mrgsolve' in Parallel
Description: Simulation from an 'mrgsolve'
<https://cran.r-project.org/package=mrgsolve> model using a parallel backend.
Input data sets are split (chunked) and simulated in parallel using
mclapply() or future_lapply()
<https://cran.r-project.org/package=future.apply>.
Author: Kyle Baron
Maintainer: Kyle Baron <kylebtwin@imap.cc>
Diff between mrgsim.parallel versions 0.2.0 dated 2022-01-30 and 0.2.1 dated 2022-03-17
mrgsim.parallel-0.2.0/mrgsim.parallel/inst/doc/file-stream.R |only mrgsim.parallel-0.2.0/mrgsim.parallel/inst/doc/file-stream.Rmd |only mrgsim.parallel-0.2.0/mrgsim.parallel/inst/doc/file-stream.html |only mrgsim.parallel-0.2.0/mrgsim.parallel/vignettes/file-stream.Rmd |only mrgsim.parallel-0.2.1/mrgsim.parallel/DESCRIPTION | 6 mrgsim.parallel-0.2.1/mrgsim.parallel/MD5 | 25 +-- mrgsim.parallel-0.2.1/mrgsim.parallel/NAMESPACE | 2 mrgsim.parallel-0.2.1/mrgsim.parallel/R/stream.R | 42 ++++++ mrgsim.parallel-0.2.1/mrgsim.parallel/R/utils.R | 64 ++++++++-- mrgsim.parallel-0.2.1/mrgsim.parallel/build/vignette.rds |binary mrgsim.parallel-0.2.1/mrgsim.parallel/inst/doc/mrgsim.parallel.html | 26 ++-- mrgsim.parallel-0.2.1/mrgsim.parallel/man/chunk_data_frame.Rd | 22 ++- mrgsim.parallel-0.2.1/mrgsim.parallel/man/new_stream.Rd | 20 ++- mrgsim.parallel-0.2.1/mrgsim.parallel/tests/testthat/test-chunk.R |only mrgsim.parallel-0.2.1/mrgsim.parallel/tests/testthat/test-parallel.R | 47 ------- mrgsim.parallel-0.2.1/mrgsim.parallel/tests/testthat/test-stream.R | 18 ++ 16 files changed, 171 insertions(+), 101 deletions(-)
More information about mrgsim.parallel at CRAN
Permanent link
Title: Generalized Random Forests
Description: A pluggable package for forest-based statistical estimation and inference.
GRF currently provides methods for non-parametric least-squares regression,
quantile regression, survival regression and treatment effect estimation (optionally using instrumental
variables), with support for missing values.
Author: Julie Tibshirani [aut, cre],
Susan Athey [aut],
Rina Friedberg [ctb],
Vitor Hadad [ctb],
David Hirshberg [ctb],
Luke Miner [ctb],
Erik Sverdrup [aut],
Stefan Wager [aut],
Marvin Wright [ctb]
Maintainer: Julie Tibshirani <jtibs@cs.stanford.edu>
Diff between grf versions 2.0.2 dated 2021-07-14 and 2.1.0 dated 2022-03-17
grf-2.0.2/grf/man/compute_eta.Rd |only grf-2.1.0/grf/DESCRIPTION | 6 grf-2.1.0/grf/MD5 | 115 +- grf-2.1.0/grf/NAMESPACE | 5 grf-2.1.0/grf/R/average_treatment_effect.R | 13 grf-2.1.0/grf/R/boosted_regression_forest.R | 5 grf-2.1.0/grf/R/causal_forest.R | 1 grf-2.1.0/grf/R/causal_survival_forest.R | 497 ++++------ grf-2.1.0/grf/R/dgps.R | 85 + grf-2.1.0/grf/R/forest_summary.R | 13 grf-2.1.0/grf/R/get_scores.R | 28 grf-2.1.0/grf/R/grf-package.R | 4 grf-2.1.0/grf/R/input_utilities.R | 16 grf-2.1.0/grf/R/instrumental_forest.R | 3 grf-2.1.0/grf/R/ll_regression_forest.R | 1 grf-2.1.0/grf/R/multi_arm_causal_forest.R | 38 grf-2.1.0/grf/R/multi_regression_forest.R | 1 grf-2.1.0/grf/R/plot.R | 48 grf-2.1.0/grf/R/print.R | 14 grf-2.1.0/grf/R/probability_forest.R | 4 grf-2.1.0/grf/R/quantile_forest.R | 1 grf-2.1.0/grf/R/rank_average_treatment.R |only grf-2.1.0/grf/R/regression_forest.R | 1 grf-2.1.0/grf/R/survival_forest.R | 15 grf-2.1.0/grf/R/tune_forest.R | 14 grf-2.1.0/grf/man/best_linear_projection.Rd | 5 grf-2.1.0/grf/man/boosted_regression_forest.Rd | 5 grf-2.1.0/grf/man/boot_grf.Rd |only grf-2.1.0/grf/man/causal_survival_forest.Rd | 109 -- grf-2.1.0/grf/man/estimate_rate.Rd |only grf-2.1.0/grf/man/generate_causal_survival_data.Rd | 11 grf-2.1.0/grf/man/get_scores.causal_survival_forest.Rd | 2 grf-2.1.0/grf/man/instrumental_forest.Rd | 2 grf-2.1.0/grf/man/multi_arm_causal_forest.Rd | 5 grf-2.1.0/grf/man/plot.rank_average_treatment_effect.Rd |only grf-2.1.0/grf/man/predict.causal_survival_forest.Rd | 39 grf-2.1.0/grf/man/print.rank_average_treatment_effect.Rd |only grf-2.1.0/grf/man/rank_average_treatment_effect.Rd |only grf-2.1.0/grf/man/survival_forest.Rd | 8 grf-2.1.0/grf/man/test_calibration.Rd | 6 grf-2.1.0/grf/src/RcppExports.cpp | 5 grf-2.1.0/grf/src/random/random.hpp | 15 grf-2.1.0/grf/src/src/forest/ForestOptions.cpp | 11 grf-2.1.0/grf/src/src/forest/ForestTrainer.cpp | 2 grf-2.1.0/grf/src/src/prediction/CausalSurvivalPredictionStrategy.cpp | 3 grf-2.1.0/grf/src/src/prediction/CausalSurvivalPredictionStrategy.h | 1 grf-2.1.0/grf/src/src/prediction/InstrumentalPredictionStrategy.cpp | 3 grf-2.1.0/grf/src/src/prediction/InstrumentalPredictionStrategy.h | 1 grf-2.1.0/grf/src/src/prediction/MultiCausalPredictionStrategy.cpp | 2 grf-2.1.0/grf/src/src/prediction/ProbabilityPredictionStrategy.cpp | 2 grf-2.1.0/grf/src/src/prediction/SurvivalPredictionStrategy.cpp | 2 grf-2.1.0/grf/src/src/prediction/collector/DefaultPredictionCollector.cpp | 2 grf-2.1.0/grf/src/src/prediction/collector/OptimizedPredictionCollector.cpp | 2 grf-2.1.0/grf/src/src/prediction/collector/TreeTraverser.cpp | 2 grf-2.1.0/grf/src/src/relabeling/QuantileRelabelingStrategy.cpp | 4 grf-2.1.0/grf/src/src/sampling/RandomSampler.cpp | 6 grf-2.1.0/grf/src/src/splitting/CausalSurvivalSplittingRule.cpp | 4 grf-2.1.0/grf/src/src/splitting/CausalSurvivalSplittingRule.h | 2 grf-2.1.0/grf/src/src/splitting/MultiRegressionSplittingRule.cpp | 2 grf-2.1.0/grf/src/src/splitting/ProbabilitySplittingRule.cpp | 4 grf-2.1.0/grf/src/src/splitting/RegressionSplittingRule.cpp | 2 grf-2.1.0/grf/src/src/splitting/SurvivalSplittingRule.cpp | 4 62 files changed, 652 insertions(+), 549 deletions(-)
Title: Statistical Hypothesis Testing Toolbox
Description: We provide a collection of statistical hypothesis testing procedures ranging from classical to modern methods for non-trivial settings such as high-dimensional scenario. For the general treatment of statistical hypothesis testing, see the book by Lehmann and Romano (2005) <doi:10.1007/0-387-27605-X>.
Author: Kyoungjae Lee [aut],
Lizhen Lin [aut],
Kisung You [aut, cre]
Maintainer: Kisung You <kisungyou@outlook.com>
Diff between SHT versions 0.1.5 dated 2021-07-04 and 0.1.6 dated 2022-03-17
DESCRIPTION | 8 ++++---- MD5 | 26 ++++++++++++++------------ NAMESPACE | 1 + NEWS.md | 13 ++++++++++--- R/cov2.2012LC.R | 8 ++++---- R/mean2.2014CLX.R | 28 +++++++++++++++++----------- R/mean2.mxPBF.R | 14 +++++++------- R/sim1.LRT.R |only R/zzz.R | 1 + build/partial.rdb |binary man/cov2.2012LC.Rd | 6 +++--- man/mean2.mxPBF.Rd | 10 +++++----- man/sim1.LRT.Rd |only src/RcppExports.cpp | 5 +++++ src/cpp_cov2_2012LC.cpp | 2 +- 15 files changed, 72 insertions(+), 50 deletions(-)
Title: Distance Sampling Detection Function and Abundance Estimation
Description: A simple way of fitting detection functions to distance sampling
data for both line and point transects. Adjustment term selection, left and
right truncation as well as monotonicity constraints and binning are
supported. Abundance and density estimates can also be calculated (via a
Horvitz-Thompson-like estimator) if survey area information is provided. See
Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on
methods and <https://examples.distancesampling.org/> for example analyses.
Author: David Lawrence Miller
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>
Diff between Distance versions 1.0.4 dated 2021-08-12 and 1.0.5 dated 2022-03-17
DESCRIPTION | 8 - MD5 | 79 +++++----- NAMESPACE | 1 NEWS | 22 ++ R/Distance-package.R | 11 + R/add_df_covar_line.R | 2 R/bootdht.R | 9 - R/bootdht_bootit.R | 68 +++----- R/bootdht_resample_data.R | 66 +++++--- R/create.bins.R | 57 ------- R/create_bins.R |only R/deprecated_args.R |only R/dht2.R | 3 R/ds.R | 268 ++++++++++++++++------------------ R/dsdata.R | 2 R/get_adj_orders.R |only R/logLik.dsmodel.R | 2 R/p_dist_table.R | 2 README.md | 2 build/partial.rdb |binary man/bootdht.Rd | 9 - man/create.bins.Rd | 11 - man/create_bins.Rd |only man/dht2.Rd | 3 man/ds.Rd | 149 +++++++++++------- man/flatfile.Rd | 10 - man/golftees.Rd | 2 man/logLik.dsmodel.Rd | 2 tests/testthat/test_adjustments.R |only tests/testthat/test_bootdht.R | 65 +++++++- tests/testthat/test_cluster.R | 2 tests/testthat/test_cuecounts.R | 2 tests/testthat/test_dht.R | 18 +- tests/testthat/test_dht2.R | 4 tests/testthat/test_ds.R | 109 +++---------- tests/testthat/test_minke.R | 9 - tests/testthat/test_ptexercise.R | 6 tests/testthat/test_samplefraction.R | 2 tests/testthat/test_satterthwaite.R | 4 tests/testthat/test_summarize.R | 38 ++-- tests/testthat/test_systematic_var2.R | 4 tests/testthat/test_variance.R | 4 tests/testthat/test_wrens.R | 6 43 files changed, 545 insertions(+), 516 deletions(-)
Title: Small Area Estimation Evaluation
Description: Allows users to produce diagnostic procedures and graphic tools for the evaluation of Small Area estimators.
Author: Andrea Fasulo [aut, cre]
Maintainer: Andrea Fasulo <fasulo@istat.it>
Diff between SAEval versions 0.1.1 dated 2022-02-18 and 0.1.2 dated 2022-03-17
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- R/bias.R | 21 +++++++++++++++------ R/coverage.R | 10 +--------- R/cv_table.R | 8 ++++++-- man/map_sae.Rd | 6 +++--- 6 files changed, 33 insertions(+), 28 deletions(-)
Title: Infrastructure for Ordering Objects Using Seriation
Description: Infrastructure for ordering objects with an implementation of several
seriation/sequencing/ordination techniques to reorder matrices, dissimilarity
matrices, and dendrograms. Also provides (optimally) reordered heatmaps,
color images and clustering visualizations like dissimilarity plots, and
visual assessment of cluster tendency plots (VAT and iVAT). Hahsler et al (2008) <doi:10.18637/jss.v025.i03>.
Author: Michael Hahsler [aut, cre, cph],
Christian Buchta [aut, cph],
Kurt Hornik [aut, cph],
Fionn Murtagh [ctb, cph],
Michael Brusco [ctb, cph],
Stephanie Stahl [ctb, cph],
Hans-Friedrich Koehn [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Diff between seriation versions 1.3.3 dated 2022-03-07 and 1.3.4 dated 2022-03-17
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NEWS.md | 7 ++++++- R/AAA_registry_criterion.R | 4 ++-- R/AAA_registry_seriate.R | 17 ++++++++++------- build/partial.rdb |binary inst/doc/seriation.pdf |binary man/registry_criterion.Rd | 4 ++-- man/registry_seriate.Rd | 17 ++++++++++------- src/optimal.c | 11 ++++------- tests/testthat/test-criterion.R | 4 ++-- 11 files changed, 50 insertions(+), 42 deletions(-)
Title: Spatial Regression Models for Large Datasets using Nearest
Neighbor Gaussian Processes
Description: Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2020) <arXiv:2001.09111>, and Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924> and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.
Author: Andrew Finley [aut, cre],
Abhirup Datta [aut],
Sudipto Banerjee [aut]
Maintainer: Andrew Finley <finleya@msu.edu>
Diff between spNNGP versions 0.1.6 dated 2021-09-20 and 0.1.7 dated 2022-03-17
DESCRIPTION | 9 +++++---- MD5 | 16 ++++++++-------- NAMESPACE | 1 + R/PGLogit.R | 2 +- R/spConjNNGP.R | 2 +- R/spNNGP.R | 2 +- build/partial.rdb |binary src/rNNGPPredict.cpp | 10 +++++++--- src/sNNGPPredict.cpp | 10 +++++++--- 9 files changed, 31 insertions(+), 21 deletions(-)
Title: (Robust) Mediation Analysis
Description: Perform mediation analysis via a (fast and robust) bootstrap test.
Author: Andreas Alfons [aut, cre] ,
Nufer Y. Ates [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Diff between robmed versions 0.10.0 dated 2022-02-21 and 0.10.1 dated 2022-03-17
robmed-0.10.0/robmed/README.md |only robmed-0.10.1/robmed/DESCRIPTION | 8 robmed-0.10.1/robmed/MD5 | 36 robmed-0.10.1/robmed/NEWS | 5 robmed-0.10.1/robmed/R/fit_mediation.R | 1246 ++++++++--------- robmed-0.10.1/robmed/R/summary.R | 2 robmed-0.10.1/robmed/R/test_mediation.R | 2 robmed-0.10.1/robmed/build/partial.rdb |binary robmed-0.10.1/robmed/build/vignette.rds |binary robmed-0.10.1/robmed/data/BSG2014.RData |binary robmed-0.10.1/robmed/inst/doc/robmed-intro.Rnw | 77 - robmed-0.10.1/robmed/inst/doc/robmed-intro.pdf |binary robmed-0.10.1/robmed/man/fit_mediation.Rd | 2 robmed-0.10.1/robmed/man/robmed-package.Rd | 52 robmed-0.10.1/robmed/man/summary.test_mediation.Rd | 2 robmed-0.10.1/robmed/man/test_mediation.Rd | 2 robmed-0.10.1/robmed/vignettes/robmed-intro.Rnw | 77 - robmed-0.10.1/robmed/vignettes/robmed.bib | 61 robmed-0.10.1/robmed/vignettes/static-figures/loss.R |only robmed-0.10.1/robmed/vignettes/static-figures/loss.pdf |binary 20 files changed, 804 insertions(+), 768 deletions(-)
Title: Property Based Testing
Description: Property based testing, inspired by
the original 'QuickCheck'. This package builds on
the property based testing framework provided by
'hedgehog' and is designed to seamlessly integrate with
'testthat'.
Author: Andrew McNeil [aut, cre]
Maintainer: Andrew McNeil <andrew.richard.mcneil@gmail.com>
Diff between quickcheck versions 0.1.1 dated 2022-03-10 and 0.1.2 dated 2022-03-17
DESCRIPTION | 6 +-- MD5 | 8 ++-- NEWS.md | 6 +++ R/date.R | 5 ++ README.md | 108 +++++++++++++++++++++++++++++++----------------------------- 5 files changed, 74 insertions(+), 59 deletions(-)
Title: Download 'nflverse' Data
Description: A minimal package for downloading data from 'GitHub'
repositories of the 'nflverse' project.
Author: Tan Ho [aut, cre, cph] ,
Sebastian Carl [aut],
John Edwards [ctb],
Ben Baldwin [ctb],
Thomas Mock [ctb],
Lee Sharpe [ctb]
Maintainer: Tan Ho <tan@tanho.ca>
Diff between nflreadr versions 1.1.3 dated 2022-01-27 and 1.2.0 dated 2022-03-17
DESCRIPTION | 8 - MD5 | 84 ++++++++--------- NAMESPACE | 1 NEWS.md | 7 + R/from_url.R | 5 - R/load_ffverse.R | 9 + R/load_nflverse.R | 154 ++++++++++++++++++-------------- R/utils.R | 16 +++ README.md | 18 ++- data/dictionary_combine.rda |binary data/dictionary_depth_charts.rda |binary data/dictionary_draft_picks.rda |binary data/dictionary_espn_qbr.rda |binary data/dictionary_ff_playerids.rda |binary data/dictionary_ff_rankings.rda |binary data/dictionary_injuries.rda |binary data/dictionary_nextgen_stats.rda |binary data/dictionary_pbp.rda |binary data/dictionary_pfr_passing.rda |binary data/dictionary_player_stats.rda |binary data/dictionary_rosters.rda |binary data/dictionary_schedules.rda |binary data/dictionary_trades.rda |binary inst/doc/dictionary_espn_qbr.html | 8 - inst/doc/dictionary_ff_opportunity.html | 8 - inst/doc/dictionary_ff_playerids.html | 5 + inst/doc/dictionary_pbp.html | 8 - inst/doc/dictionary_player_stats.html | 8 - inst/doc/dictionary_rosters.html | 8 - inst/doc/dictionary_schedules.html | 8 - man/dictionary_ff_playerids.Rd | 2 man/dictionary_player_stats.Rd | 2 man/dictionary_rosters.Rd | 2 man/load_combine.Rd | 4 man/load_depth_charts.Rd | 2 man/load_injuries.Rd | 9 - man/load_nextgen_stats.Rd | 2 man/load_pbp.Rd | 2 man/load_pfr_advstats.Rd | 2 man/load_pfr_passing.Rd | 1 man/load_rosters.Rd | 2 man/qs_from_url.Rd | 2 man/raw_from_url.Rd | 2 43 files changed, 222 insertions(+), 167 deletions(-)
Title: Mark-Recapture Distance Sampling
Description: Animal abundance estimation via conventional, multiple covariate
and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function
fitting is performed via maximum likelihood. Also included are diagnostics
and plotting for fitted detection functions. Abundance estimation is via a
Horvitz-Thompson-like estimator.
Author: Jeff Laake <jeff.laake@noaa.gov>, David Borchers
<dlb@st-and.ac.uk>, Len Thomas <len.thomas@st-and.ac.uk>, David
Miller <dave@ninepointeightone.net> and Jon Bishop
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>
Diff between mrds versions 2.2.5 dated 2021-07-01 and 2.2.6 dated 2022-03-17
mrds-2.2.5/mrds/R/add_df_covar_line.R |only mrds-2.2.5/mrds/R/p_dist_table.R |only mrds-2.2.5/mrds/man/add_df_covar_line.Rd |only mrds-2.2.5/mrds/man/p_dist_table.Rd |only mrds-2.2.6/mrds/DESCRIPTION | 10 mrds-2.2.6/mrds/MD5 | 108 ++--- mrds-2.2.6/mrds/NAMESPACE | 3 mrds-2.2.6/mrds/NEWS | 12 mrds-2.2.6/mrds/R/add.df.covar.line.R |only mrds-2.2.6/mrds/R/adj.check.order.R | 24 - mrds-2.2.6/mrds/R/apex.gamma.R | 4 mrds-2.2.6/mrds/R/check.mono.R | 8 mrds-2.2.6/mrds/R/create.bins.R | 46 -- mrds-2.2.6/mrds/R/create.ddfobj.R | 23 - mrds-2.2.6/mrds/R/ddf.R | 16 mrds-2.2.6/mrds/R/ddf.ds.R | 37 - mrds-2.2.6/mrds/R/ddf.gof.R | 6 mrds-2.2.6/mrds/R/ddf.io.fi.R | 644 ++++++++++++++---------------- mrds-2.2.6/mrds/R/ddf.rem.fi.R | 543 ++++++++++++------------- mrds-2.2.6/mrds/R/ddf.trial.fi.R | 411 +++++++++---------- mrds-2.2.6/mrds/R/detfct.R | 15 mrds-2.2.6/mrds/R/detfct.fit.R | 10 mrds-2.2.6/mrds/R/detfct.fit.opt.R | 14 mrds-2.2.6/mrds/R/dht.R | 78 +-- mrds-2.2.6/mrds/R/dht.deriv.R | 20 mrds-2.2.6/mrds/R/dht.se.R | 2 mrds-2.2.6/mrds/R/fixform.R |only mrds-2.2.6/mrds/R/flnl.R | 6 mrds-2.2.6/mrds/R/flt.var.R | 22 - mrds-2.2.6/mrds/R/gstdint.R | 29 + mrds-2.2.6/mrds/R/integratepdf.r | 42 + mrds-2.2.6/mrds/R/keyfct.tpn.R |only mrds-2.2.6/mrds/R/mcds.R | 155 +++---- mrds-2.2.6/mrds/R/model.description.R | 9 mrds-2.2.6/mrds/R/optimx.setup.R | 3 mrds-2.2.6/mrds/R/p.dist.table.R |only mrds-2.2.6/mrds/R/plot.ds.R | 30 - mrds-2.2.6/mrds/R/predict.ds.R | 2 mrds-2.2.6/mrds/R/print.ddf.gof.R | 13 mrds-2.2.6/mrds/R/print.dht.R | 2 mrds-2.2.6/mrds/R/print.summary.ds.R | 35 + mrds-2.2.6/mrds/R/setbounds.R | 12 mrds-2.2.6/mrds/R/setinitial.ds.R | 9 mrds-2.2.6/mrds/R/summary.ds.R | 23 - mrds-2.2.6/mrds/R/survey.region.dht.R | 33 - mrds-2.2.6/mrds/R/test.breaks.R | 30 - mrds-2.2.6/mrds/README.md | 4 mrds-2.2.6/mrds/build |only mrds-2.2.6/mrds/data/book.tee.data.rda |binary mrds-2.2.6/mrds/man/add.df.covar.line.Rd |only mrds-2.2.6/mrds/man/adj.check.order.Rd | 8 mrds-2.2.6/mrds/man/create.bins.Rd | 6 mrds-2.2.6/mrds/man/ddf.Rd | 2 mrds-2.2.6/mrds/man/ddf.gof.Rd | 7 mrds-2.2.6/mrds/man/dht.Rd | 10 mrds-2.2.6/mrds/man/keyfct.tpn.Rd |only mrds-2.2.6/mrds/man/p.dist.table.Rd |only mrds-2.2.6/mrds/man/print.ddf.gof.Rd | 4 mrds-2.2.6/mrds/man/print.p_dist_table.Rd | 2 mrds-2.2.6/mrds/man/setbounds.Rd | 6 mrds-2.2.6/mrds/man/survey.region.dht.Rd | 7 61 files changed, 1296 insertions(+), 1249 deletions(-)
Title: Distance Sampling Simulations
Description: Performs distance sampling simulations. 'dsims' repeatedly generates
instances of a user defined population within a given survey region. It then
generates realisations of a survey design and simulates the detection process.
The data are then analysed so that the results can be compared for accuracy
and precision across all replications. This process allows users to optimise
survey designs for their specific set of survey conditions. The effects of
uncertainty in population distribution or parameters can be investigated
under a number of simulations so that users can be confident that they have
achieved a robust survey design before deploying vessels into the field. The
distance sampling designs used in this package from 'dssd' are detailed in
Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13:
978-0199225873). General distance sampling methods are detailed in Introduction
to Distance Sampling: Estimating Abundance of Biological Populations, Buckland
et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating
animal/plant abundance with distance sampling at <http://distancesampling.org/>.
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>
Diff between dsims versions 0.2.0 dated 2021-09-01 and 0.2.1 dated 2022-03-17
dsims-0.2.0/dsims/tests/testthat/test-AnalysisOptions.R |only dsims-0.2.0/dsims/tests/testthat/test-BasicPoint.R |only dsims-0.2.0/dsims/tests/testthat/test-BasicSegmentedLine.R |only dsims-0.2.0/dsims/tests/testthat/test-Constructors.R |only dsims-0.2.0/dsims/tests/testthat/test-IndividualCovariates.R |only dsims-0.2.0/dsims/tests/testthat/test-StratifiedLine.R |only dsims-0.2.1/dsims/DESCRIPTION | 8 dsims-0.2.1/dsims/MD5 | 68 - dsims-0.2.1/dsims/NAMESPACE | 2 dsims-0.2.1/dsims/NEWS | 14 dsims-0.2.1/dsims/R/ClassConstructors.R | 25 dsims-0.2.1/dsims/R/DS.Analysis.R | 69 - dsims-0.2.1/dsims/R/Density.R | 4 dsims-0.2.1/dsims/R/Density.Summary.R | 4 dsims-0.2.1/dsims/R/Detectability.R | 14 dsims-0.2.1/dsims/R/Population.Description.R | 10 dsims-0.2.1/dsims/R/Population.R | 4 dsims-0.2.1/dsims/R/Simulation.R | 14 dsims-0.2.1/dsims/R/Simulation.Summary.R | 7 dsims-0.2.1/dsims/R/Survey.LT.R | 4 dsims-0.2.1/dsims/R/Survey.PT.R | 4 dsims-0.2.1/dsims/R/accumulate.warnings.R | 4 dsims-0.2.1/dsims/R/add.covariate.values.R | 5 dsims-0.2.1/dsims/R/calc.perp.dists.R | 5 dsims-0.2.1/dsims/R/calculate.scale.param.R | 3 dsims-0.2.1/dsims/R/check.covariates.R | 5 dsims-0.2.1/dsims/R/check.simulation.R | 18 dsims-0.2.1/dsims/R/run.simulation.R | 2 dsims-0.2.1/dsims/R/single.sim.loop.R | 8 dsims-0.2.1/dsims/R/store.dht.results.R | 2 dsims-0.2.1/dsims/README.md |only dsims-0.2.1/dsims/build/vignette.rds |binary dsims-0.2.1/dsims/inst/doc/GettingStarted.html | 529 ++++++++-- dsims-0.2.1/dsims/tests/test-that.R | 2 dsims-0.2.1/dsims/tests/testthat/test-BasicLine.R | 2 dsims-0.2.1/dsims/tests/testthat/test-check_AnalysisOptions.R |only dsims-0.2.1/dsims/tests/testthat/test-check_BasicLine.R |only dsims-0.2.1/dsims/tests/testthat/test-check_BasicPoint.R |only dsims-0.2.1/dsims/tests/testthat/test-check_BasicSegmentedLine.R |only dsims-0.2.1/dsims/tests/testthat/test-check_Constructors.R |only dsims-0.2.1/dsims/tests/testthat/test-check_IndividualCovariates.R |only dsims-0.2.1/dsims/tests/testthat/test-check_StratifiedLine.R |only 42 files changed, 644 insertions(+), 192 deletions(-)
Title: Tools for Analysing Forensic Genetic DNA Data
Description: Computationally efficient tools for comparing all pairs of profiles
in a DNA database. The expectation and covariance of the summary statistic
is implemented for fast computing. Routines for estimating proportions of
close related individuals are available. The use of wildcards (also called F-
designation) is implemented. Dedicated functions ease plotting the results.
See Tvedebrink et al. (2012) <doi:10.1016/j.fsigen.2011.08.001>.
Compute the distribution of the numbers of alleles in DNA mixtures.
See Tvedebrink (2013) <doi:10.1016/j.fsigss.2013.10.142>.
Author: Torben Tvedebrink [aut],
James Curran [aut],
Mikkel Meyer Andersen [aut, cre]
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>
Diff between DNAtools versions 0.2-3 dated 2020-07-07 and 0.2-4 dated 2022-03-17
DESCRIPTION | 10 MD5 | 30 +- NEWS | 3 build/vignette.rds |binary inst/doc/db_vignette.Rmd | 4 inst/doc/db_vignette.html | 457 ++++++++++++++++++++++++--------- inst/doc/dna_vignette.R | 6 inst/doc/dna_vignette.Rmd | 6 inst/doc/dna_vignette.html | 226 +++++++++++++--- inst/doc/noa_vignette.html | 609 +++++++++++++++++++++++++++++++-------------- src/RcppExports.cpp | 5 src/class_probsObj.h | 4 src/number_of_alleles.cpp | 2 src/profile.cpp | 3 vignettes/db_vignette.Rmd | 4 vignettes/dna_vignette.Rmd | 6 16 files changed, 1000 insertions(+), 375 deletions(-)
Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. To decrease spatial overfitting and to improve model performances, the package implements a forward feature selection that selects suitable predictor variables in view to their contribution to spatial or spatial-temporal model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>.
Author: Hanna Meyer [cre, aut],
Marvin Ludwig [aut],
Chris Reudenbach [ctb],
Thomas Nauss [ctb],
Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>
Diff between CAST versions 0.5.1 dated 2021-04-07 and 0.6.0 dated 2022-03-17
CAST-0.5.1/CAST/inst/doc/AOA-tutorial.R |only CAST-0.5.1/CAST/inst/doc/AOA-tutorial.Rmd |only CAST-0.5.1/CAST/inst/doc/AOA-tutorial.html |only CAST-0.5.1/CAST/inst/doc/CAST-intro.R |only CAST-0.5.1/CAST/inst/doc/CAST-intro.Rmd |only CAST-0.5.1/CAST/inst/doc/CAST-intro.html |only CAST-0.5.1/CAST/vignettes/AOA-tutorial.Rmd |only CAST-0.5.1/CAST/vignettes/CAST-intro.Rmd |only CAST-0.6.0/CAST/DESCRIPTION | 23 - CAST-0.6.0/CAST/MD5 | 68 +++- CAST-0.6.0/CAST/NAMESPACE | 12 CAST-0.6.0/CAST/NEWS.md | 12 CAST-0.6.0/CAST/R/CAST-package.R | 7 CAST-0.6.0/CAST/R/aoa.R | 307 ++++++++++------------ CAST-0.6.0/CAST/R/bss.R | 45 ++- CAST-0.6.0/CAST/R/calibrate_aoa.R | 104 ++++--- CAST-0.6.0/CAST/R/ffs.R | 115 ++++++-- CAST-0.6.0/CAST/R/global_validation.R |only CAST-0.6.0/CAST/R/plot.R |only CAST-0.6.0/CAST/R/plot_geodist.R |only CAST-0.6.0/CAST/R/print.R |only CAST-0.6.0/CAST/R/trainDI.R |only CAST-0.6.0/CAST/README.md | 13 CAST-0.6.0/CAST/build/partial.rdb |binary CAST-0.6.0/CAST/build/vignette.rds |binary CAST-0.6.0/CAST/inst/doc/cast01-CAST-intro.R |only CAST-0.6.0/CAST/inst/doc/cast01-CAST-intro.Rmd |only CAST-0.6.0/CAST/inst/doc/cast01-CAST-intro.html |only CAST-0.6.0/CAST/inst/doc/cast02-AOA-tutorial.R |only CAST-0.6.0/CAST/inst/doc/cast02-AOA-tutorial.Rmd |only CAST-0.6.0/CAST/inst/doc/cast02-AOA-tutorial.html |only CAST-0.6.0/CAST/inst/doc/cast03-AOA-parallel.R |only CAST-0.6.0/CAST/inst/doc/cast03-AOA-parallel.Rmd |only CAST-0.6.0/CAST/inst/doc/cast03-AOA-parallel.html |only CAST-0.6.0/CAST/inst/doc/cast04-plotgeodist.R |only CAST-0.6.0/CAST/inst/doc/cast04-plotgeodist.Rmd |only CAST-0.6.0/CAST/inst/doc/cast04-plotgeodist.html |only CAST-0.6.0/CAST/inst/extdata/bioclim_global.grd |only CAST-0.6.0/CAST/inst/extdata/bioclim_global.gri |only CAST-0.6.0/CAST/man/CAST.Rd | 5 CAST-0.6.0/CAST/man/aoa.Rd | 71 +++-- CAST-0.6.0/CAST/man/bss.Rd | 11 CAST-0.6.0/CAST/man/calibrate_aoa.Rd | 4 CAST-0.6.0/CAST/man/ffs.Rd | 9 CAST-0.6.0/CAST/man/global_validation.Rd |only CAST-0.6.0/CAST/man/plot.Rd |only CAST-0.6.0/CAST/man/plot_geodist.Rd |only CAST-0.6.0/CAST/man/print.Rd |only CAST-0.6.0/CAST/man/trainDI.Rd |only CAST-0.6.0/CAST/vignettes/cast01-CAST-intro.Rmd |only CAST-0.6.0/CAST/vignettes/cast02-AOA-tutorial.Rmd |only CAST-0.6.0/CAST/vignettes/cast03-AOA-parallel.Rmd |only CAST-0.6.0/CAST/vignettes/cast04-plotgeodist.Rmd |only 53 files changed, 500 insertions(+), 306 deletions(-)
Title: Statistical Process Control -- Calculation of ARL and Other
Control Chart Performance Measures
Description: Evaluation of control charts by means of
the zero-state, steady-state ARL (Average Run Length) and RL quantiles.
Setting up control charts for given in-control ARL. The control charts
under consideration are one- and two-sided EWMA, CUSUM, and
Shiryaev-Roberts schemes for monitoring the mean or variance of normally
distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added.
Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Author: Sven Knoth
Maintainer: Sven Knoth <Sven.Knoth@gmx.de>
Diff between spc versions 0.6.5 dated 2021-03-02 and 0.6.6 dated 2022-03-17
DESCRIPTION | 8 - MD5 | 6 - R/xewma.arl.f.R | 2 src/allspc.c | 247 ++++++++++++++++++++++++++++++++++++-------------------- 4 files changed, 167 insertions(+), 96 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 [cre] ,
Florian Ziel [aut]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>
Diff between profoc versions 0.9.1 dated 2022-02-25 and 0.9.2 dated 2022-03-17
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ NEWS.md | 7 +++++++ R/online.R | 5 +++-- R/online_plot.R | 14 +++++++------- build/partial.rdb |binary tests/testthat/test-knots.R | 6 +++--- 7 files changed, 31 insertions(+), 23 deletions(-)
Title: Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion
Polls in Catalonia
Description: Easy and convenient access to the datasets / microdata of the
"Centre d'Estudis d'Opinió", the Catalan institution for polling and public
opinion. The package uses the data stored in the servers of the CEO and returns
it in a tidy format (tibble).
Author: Xavier Fernández-i-Marín [aut, cre]
Maintainer: Xavier Fernández-i-Marín <xavier.fim@gmail.com>
Diff between CEOdata versions 0.2 dated 2022-02-28 and 1.0.2 dated 2022-03-17
DESCRIPTION | 13 MD5 | 41 - NAMESPACE | 2 R/CEOdata.R | 37 - R/CEOmeta.R | 34 - R/CEOsearch.R |only R/globals.R | 2 R/help.R | 2 R/zzz.R | 2 README.md |only build/vignette.rds |binary inst/doc/cheatsheet.pdf |only inst/doc/cheatsheet.pdf.asis |only inst/doc/using_CEOdata.R | 73 -- inst/doc/using_CEOdata.Rmd | 150 ++-- inst/doc/using_CEOdata.html | 324 +++++++--- inst/doc/working_with_survey_data_using_the_CEOdata_package.R |only inst/doc/working_with_survey_data_using_the_CEOdata_package.Rmd |only inst/doc/working_with_survey_data_using_the_CEOdata_package.html |only man/CEOdata.Rd | 25 man/CEOmeta.Rd | 14 man/CEOsearch.Rd |only man/figures |only tests/testthat/test_size_barometer.R | 2 vignettes/cheatsheet.pdf.asis |only vignettes/using_CEOdata.Rmd | 150 ++-- vignettes/working_with_survey_data_using_the_CEOdata_package.Rmd |only 27 files changed, 552 insertions(+), 319 deletions(-)
Title: R-Friendly Threading in C++
Description: Provides a C++11-style thread class and thread pool that can safely
be interrupted from R. See Nagler (2021) <doi:10.18637/jss.v097.c01>.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>
Diff between RcppThread versions 2.1.2 dated 2022-03-11 and 2.1.3 dated 2022-03-17
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 7 +++++++ build/partial.rdb |binary build/vignette.rds |binary inst/include/RcppThread/RMonitor.hpp | 2 +- inst/include/RcppThread/ThreadPool.hpp | 6 +++--- 7 files changed, 20 insertions(+), 13 deletions(-)
Title: Rcpp Integration for CGAL
Description: Creates a header only package to link to the CGAL
(Computational Geometry Algorithms Library)
header files in Rcpp. There are a variety of potential uses for
the software such as Hilbert sorting, KDtree nearest neighbors,
and convex hull algorithms. There is only one R function in this
package, which returns the current version of the CGAL library
included. For more information about how to use the header files,
see the CGAL documentation at <https://www.cgal.org>. Currently
includes the CGAL 5.4 stable release.
Author: Eric Dunipace [aut, cre]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>
Diff between RcppCGAL versions 5.3.1.1 dated 2022-01-08 and 5.4 dated 2022-03-17
DESCRIPTION | 17 +++++++++++------ MD5 | 20 ++++++++++---------- NAMESPACE | 1 + R/RcppCGAL-package.R | 3 ++- R/cgal_version.R | 2 +- R/downloader.R | 5 +++-- README.md | 4 ++-- inst/CITATION | 6 +++--- inst/NEWS.md | 3 +++ inst/VERSION | 2 +- man/RcppCGAL-package.Rd | 8 ++++++-- 11 files changed, 43 insertions(+), 28 deletions(-)
Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a
model without having to remember the different argument names across
different functions or computational engines (e.g. 'R', 'Spark',
'Stan', etc).
Author: Max Kuhn [aut, cre],
Davis Vaughan [aut],
Emil Hvitfeldt [ctb],
RStudio [cph, fnd]
Maintainer: Max Kuhn <max@rstudio.com>
Diff between parsnip versions 0.2.0 dated 2022-03-09 and 0.2.1 dated 2022-03-17
parsnip-0.2.0/parsnip/R/0_imports.R |only parsnip-0.2.1/parsnip/DESCRIPTION | 12 parsnip-0.2.1/parsnip/MD5 | 37 - parsnip-0.2.1/parsnip/NEWS.md | 22 - parsnip-0.2.1/parsnip/R/aaa.R | 21 parsnip-0.2.1/parsnip/R/fit_helpers.R | 4 parsnip-0.2.1/parsnip/R/parsnip-package.R |only parsnip-0.2.1/parsnip/R/tunable.R | 21 parsnip-0.2.1/parsnip/build/parsnip.pdf |binary parsnip-0.2.1/parsnip/build/vignette.rds |binary parsnip-0.2.1/parsnip/data/model_db.rda |binary parsnip-0.2.1/parsnip/inst/add-in/parsnip_model_db.R | 7 parsnip-0.2.1/parsnip/inst/doc/parsnip.Rmd | 12 parsnip-0.2.1/parsnip/inst/doc/parsnip.html | 361 +---------------- parsnip-0.2.1/parsnip/man/details_pls_mixOmics.Rd | 11 parsnip-0.2.1/parsnip/man/parsnip-package.Rd |only parsnip-0.2.1/parsnip/man/rmd/pls_mixOmics.Rmd | 14 parsnip-0.2.1/parsnip/man/rmd/pls_mixOmics.md | 15 parsnip-0.2.1/parsnip/vignettes/articles/Examples.Rmd | 11 parsnip-0.2.1/parsnip/vignettes/articles/Submodels.Rmd | 12 parsnip-0.2.1/parsnip/vignettes/parsnip.Rmd | 12 21 files changed, 161 insertions(+), 411 deletions(-)
Title: A Shiny Interface for Simple Data Management
Description: Launches a shiny application generating code to
view tables in several ways,
import/export tables,
modify tables,
make some basic graphics.
'IGoR' is a graphic user interface designed to help beginners
using simple functions around table management and exploration.
Inspired by 'Rcmdr', 'IGoR' is a code generator that, with simple inputs under a Shiny application,
provides R code mainly built around the 'tidyverse' or some packages in the direct line of the Mosaic project:
the 'rio' and 'ggformula' packages.
The generated code doesn't depend on IGoR and can be manually modified by the user or copied elsewhere.
Author: Jean-Luc Lipatz [aut, cre], Bernard Gestin [ctb]
Maintainer: Jean-Luc Lipatz <jllipatz@protonmail.com>
Diff between IGoRRR versions 0.3.1 dated 2022-03-08 and 0.3.2 dated 2022-03-17
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/utilities.R | 3 +-- inst/misc/news.txt | 2 ++ 4 files changed, 9 insertions(+), 8 deletions(-)
Title: Multiple Precision Arithmetic
Description: Multiple Precision Arithmetic (big integers and rationals,
prime number tests, matrix computation), "arithmetic without limitations"
using the C library GMP (GNU Multiple Precision Arithmetic).
Author: Antoine Lucas, Immanuel Scholz, Rainer Boehme <rb-gmp@reflex-studio.de>,
Sylvain Jasson <Sylvain.Jasson@inrae.fr>,
Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Antoine Lucas <antoinelucas@gmail.com>
Diff between gmp versions 0.6-4 dated 2022-02-24 and 0.6-5 dated 2022-03-17
DESCRIPTION | 8 - MD5 | 8 - src/bigrationalR.cc | 3 tests/gmp-test.R | 5 tests/gmp-test.Rout.save | 317 ++++++++++++++++++++++------------------------- 5 files changed, 164 insertions(+), 177 deletions(-)
Title: Store and Retrieve Data.frames in a Git Repository
Description: The git2rdata package is an R package for writing and reading
dataframes as plain text files. A metadata file stores important
information. 1) Storing metadata allows to maintain the classes of
variables. By default, git2rdata optimizes the data for file storage.
The optimization is most effective on data containing factors. The
optimization makes the data less human readable. The user can turn
this off when they prefer a human readable format over smaller files.
Details on the implementation are available in vignette("plain_text",
package = "git2rdata"). 2) Storing metadata also allows smaller row
based diffs between two consecutive commits. This is a useful feature
when storing data as plain text files under version control. Details
on this part of the implementation are available in
vignette("version_control", package = "git2rdata"). Although we
envisioned git2rdata with a git workflow in mind, you can use it in
combination with other version control systems like subversion or
mercurial. 3) git2rdata is a useful tool in a reproducible and
traceable workflow. vignette("workflow", package = "git2rdata") gives
a toy example. 4) vignette("efficiency", package = "git2rdata")
provides some insight into the efficiency of file storage, git
repository size and speed for writing and reading.
Author: Thierry Onkelinx [aut, cre] ,
Floris Vanderhaeghe [ctb] ,
Peter Desmet [ctb] ,
Els Lommelen [ctb] ,
Research Institute for Nature and Forest [cph, fnd]
Maintainer: Thierry Onkelinx <thierry.onkelinx@inbo.be>
Diff between git2rdata versions 0.3.1 dated 2021-01-21 and 0.4.0 dated 2022-03-17
DESCRIPTION | 53 +-- MD5 | 151 +++++----- NAMESPACE | 2 NEWS.md | 17 + R/clean_data_path.R | 6 R/is_git2rdata.R | 24 + R/is_git2rmeta.R | 117 ++++--- R/list_data.R | 25 + R/meta.R | 5 R/prune.R | 28 - R/read_vc.R | 10 R/recent_commit.R | 17 - R/relabel.R | 18 - R/rename_variable.R | 11 R/upgrade_data.R | 75 +++- R/utils.R | 14 R/verify_vc.R |only R/write_vc.R | 10 README.md | 5 build/vignette.rds |binary inst/CITATION |only inst/doc/efficiency.R | 188 +++++++----- inst/doc/efficiency.Rmd | 255 +++++++++------- inst/doc/efficiency.html | 365 +++++++++++++++++++++--- inst/doc/plain_text.R | 2 inst/doc/plain_text.Rmd | 12 inst/doc/plain_text.html | 387 ++++++++++++++++++++++--- inst/doc/split_by.R | 138 +++++---- inst/doc/split_by.Rmd | 138 +++++---- inst/doc/split_by.html | 333 +++++++++++++++++++--- inst/doc/version_control.R | 4 inst/doc/version_control.Rmd | 4 inst/doc/version_control.html | 387 ++++++++++++++++++++++--- inst/doc/workflow.R | 21 - inst/doc/workflow.Rmd | 29 + inst/doc/workflow.html | 452 +++++++++++++++++++++++++----- inst/efficiency/file_timings.rds |binary inst/efficiency/git_size.rds |binary inst/efficiency/read_timings.rds |binary inst/testthat |only man/figures/background-pattern.png |only man/figures/flanders.woff |only man/figures/flanders.woff2 |only man/git2rdata-package.Rd | 23 - man/is_git2rdata.Rd | 3 man/is_git2rmeta.Rd | 3 man/list_data.Rd | 9 man/meta.Rd | 2 man/prune_meta.Rd | 9 man/read_vc.Rd | 9 man/recent_commit.Rd | 6 man/relabel.Rd | 7 man/rename_variable.Rd | 7 man/rm_data.Rd | 9 man/upgrade_data.Rd | 3 man/verify_vc.Rd |only man/write_vc.Rd | 11 tests/testthat/test_a_basics.R | 419 ++++++++++++++------------- tests/testthat/test_b_is_git2rmeta.R | 5 tests/testthat/test_b_prune.R | 154 +++++----- tests/testthat/test_b_special.R | 157 +++++----- tests/testthat/test_b_verify_vc.R |only tests/testthat/test_c_git.R | 62 ++-- tests/testthat/test_d_recent_commit.R | 6 tests/testthat/test_e_empty_label.R | 2 tests/testthat/test_e_non_ascii.R | 3 tests/testthat/test_e_upgrade.R | 222 ++++++-------- tests/testthat/test_e_validate_metadata.R | 2 tests/testthat/test_f_split_by.R | 2 tests/testthat/test_g_rename_variable.R | 4 vignettes/efficiency.Rmd | 255 +++++++++------- vignettes/plain_text.Rmd | 12 vignettes/split_by.Rmd | 138 +++++---- vignettes/version_control.Rmd | 4 vignettes/workflow.Rmd | 29 + 75 files changed, 3273 insertions(+), 1607 deletions(-)
Title: Approximate and Exact Optimal Transport Methods
Description: R and C++ functions to perform exact and
approximate optimal transport. All C++ methods are linkable
to other R packages via their header files.
Author: Eric Dunipace [aut, cre]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>
Diff between approxOT versions 1.0.1 dated 2022-01-14 and 1.0.2 dated 2022-03-17
DESCRIPTION | 15 ++++++++++----- MD5 | 4 ++-- src/transport.cpp | 2 +- 3 files changed, 13 insertions(+), 8 deletions(-)
Title: Repeated Measurement Models for Discrete Times
Description: Companion R package for the course "Statistical analysis of correlated and repeated measurements for health science researchers"
taught by the section of Biostatistics of the University of Copenhagen.
It implements linear mixed models where the model for the variance-covariance of the residuals is specified via patterns (compound symmetry, unstructured, ...).
Statistical inference for mean, variance, and correlation parameters is performed based on the observed information and a Satterthwaite degrees of freedom.
Normalized residuals are provided to assess model misspecification.
Statistical inference can be performed for arbitrary linear or non-linear combination(s) of model coefficients.
Predictions can be computed conditional to covariates only or also to outcome values.
Author: Brice Ozenne [aut, cre] ,
Julie Forman [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>
Diff between LMMstar versions 0.5.2 dated 2022-03-06 and 0.5.4 dated 2022-03-17
LMMstar-0.5.2/LMMstar/inst/doc-software/overview.blg |only LMMstar-0.5.2/LMMstar/inst/doc-software/overview.fdb_latexmk |only LMMstar-0.5.2/LMMstar/inst/doc-software/overview.fls |only LMMstar-0.5.2/LMMstar/inst/doc-software/overview.out |only LMMstar-0.5.2/LMMstar/inst/doc-software/overview.soc |only LMMstar-0.5.4/LMMstar/DESCRIPTION | 18 LMMstar-0.5.4/LMMstar/MD5 | 71 LMMstar-0.5.4/LMMstar/NAMESPACE | 1 LMMstar-0.5.4/LMMstar/R/LMMstar-package.R | 36 LMMstar-0.5.4/LMMstar/R/LMMstar.options.R | 6 LMMstar-0.5.4/LMMstar/R/anova.R | 16 LMMstar-0.5.4/LMMstar/R/confint.anova_lmm.R | 57 LMMstar-0.5.4/LMMstar/R/doc-data.R | 14 LMMstar-0.5.4/LMMstar/R/mlmm.R |only LMMstar-0.5.4/LMMstar/R/plot.R | 6 LMMstar-0.5.4/LMMstar/R/rbind.anova_lmm.R | 44 LMMstar-0.5.4/LMMstar/R/residuals.R | 92 LMMstar-0.5.4/LMMstar/R/summary.anova_lmm.R | 36 LMMstar-0.5.4/LMMstar/data/gastricbypassL.rda |binary LMMstar-0.5.4/LMMstar/inst/doc-software/figures/fit-pres.pdf |binary LMMstar-0.5.4/LMMstar/inst/doc-software/overview-compress.pdf |binary LMMstar-0.5.4/LMMstar/inst/doc-software/overview.aux | 46 LMMstar-0.5.4/LMMstar/inst/doc-software/overview.log | 37 LMMstar-0.5.4/LMMstar/inst/doc-software/overview.org | 72 LMMstar-0.5.4/LMMstar/inst/doc-software/overview.pdf | 1946 +++++----- LMMstar-0.5.4/LMMstar/inst/doc-software/overview.tex | 111 LMMstar-0.5.4/LMMstar/inst/doc/overview.pdf |binary LMMstar-0.5.4/LMMstar/man/LMMstar-package.Rd | 34 LMMstar-0.5.4/LMMstar/man/LMMstar.options.Rd | 1 LMMstar-0.5.4/LMMstar/man/anova.Rd | 8 LMMstar-0.5.4/LMMstar/man/confint.anova_lmm.Rd | 17 LMMstar-0.5.4/LMMstar/man/gastricbypassL.Rd | 2 LMMstar-0.5.4/LMMstar/man/mlmm.Rd |only LMMstar-0.5.4/LMMstar/man/rbind.anova_lmm.Rd | 5 LMMstar-0.5.4/LMMstar/man/residuals.Rd | 49 LMMstar-0.5.4/LMMstar/man/summary.anova_lmm.Rd | 8 LMMstar-0.5.4/LMMstar/tests/testthat/test-auto-estimate.R | 16 LMMstar-0.5.4/LMMstar/tests/testthat/test-auto-partial-residuals.R | 28 LMMstar-0.5.4/LMMstar/tests/testthat/test-auto-previous-bug.R | 24 LMMstar-0.5.4/LMMstar/tests/testthat/test-manual-practical.R | 18 40 files changed, 1488 insertions(+), 1331 deletions(-)
Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which
offer a seamless integration of R and C++. Many R data types and objects can be
mapped back and forth to C++ equivalents which facilitates both writing of new
code as well as easier integration of third-party libraries. Documentation
about 'Rcpp' is provided by several vignettes included in this package, via the
'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and
Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013,
<doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018,
<doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou,
Nathan Russell, Inaki Ucar, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between Rcpp versions 1.0.8.2 dated 2022-03-11 and 1.0.8.3 dated 2022-03-17
ChangeLog | 8 ++++++++ DESCRIPTION | 8 ++++---- MD5 | 34 +++++++++++++++++----------------- build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.Rd | 4 +++- inst/doc/Rcpp-FAQ.pdf |binary inst/doc/Rcpp-attributes.pdf |binary inst/doc/Rcpp-extending.pdf |binary inst/doc/Rcpp-introduction.pdf |binary inst/doc/Rcpp-jss-2011.pdf |binary inst/doc/Rcpp-libraries.pdf |binary inst/doc/Rcpp-modules.pdf |binary inst/doc/Rcpp-package.pdf |binary inst/doc/Rcpp-quickref.pdf |binary inst/doc/Rcpp-sugar.pdf |binary inst/include/Rcpp/config.h | 4 ++-- tests/tinytest.R | 2 +- 18 files changed, 35 insertions(+), 25 deletions(-)
Title: Genomic Mediation Analysis with Adaptive Confounding Adjustment
Description: Performs genomic mediation
analysis with adaptive confounding adjustment (GMAC) proposed by Yang et al. (2017) <doi:10.1101/078683>. It implements large scale
mediation analysis and adaptively selects potential confounding variables to
adjust for each mediation test from a pool of candidate confounders. The package
is tailored for but not limited to genomic mediation analysis (e.g., cis-gene
mediating trans-gene regulation pattern where an eQTL, its cis-linking gene
transcript, and its trans-gene transcript play the roles as treatment, mediator
and the outcome, respectively), restricting to scenarios with the presence of
cis-association (i.e., treatment-mediator association) and random eQTL (i.e.,
treatment).
Author: Fan Yang, Jiebiao Wang and Lin Chen
Maintainer: Jiebiao Wang <randel.wang@gmail.com>
Diff between GMAC versions 3.0 dated 2017-12-15 and 3.1 dated 2022-03-17
DESCRIPTION | 12 ++++++------ MD5 | 8 ++++---- R/GMAC.R | 2 +- build/partial.rdb |binary man/gmac.Rd | 28 +++++++++++++++++++--------- 5 files changed, 30 insertions(+), 20 deletions(-)
Title: Density Surface Modelling of Distance Sampling Data
Description: Density surface modelling of line transect data. A Generalized
Additive Model-based approach is used to calculate spatially-explicit estimates
of animal abundance from distance sampling (also presence/absence and strip
transect) data. Several utility functions are provided for model checking,
plotting and variance estimation.
Author: David L. Miller, Eric Rexstad, Louise Burt, Mark V. Bravington,
Sharon Hedley, Megan Ferguson, Natalie Kelly.
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>
Diff between dsm versions 2.3.1 dated 2021-03-26 and 2.3.2 dated 2022-03-17
dsm-2.3.1/dsm/man/matrixnotposdef.handler.Rd |only dsm-2.3.2/dsm/DESCRIPTION | 10 dsm-2.3.2/dsm/MD5 | 157 ++++++------ dsm-2.3.2/dsm/NEWS | 317 ++++++++++++++----------- dsm-2.3.2/dsm/R/block.info.per.su.R | 18 - dsm-2.3.2/dsm/R/check.cols.R | 22 - dsm-2.3.2/dsm/R/dsm-package.R | 112 ++++++-- dsm-2.3.2/dsm/R/dsm.R | 148 ++++++++--- dsm-2.3.2/dsm/R/dsm.cor.R | 63 +++- dsm-2.3.2/dsm/R/dsm.var.gam.R | 43 +-- dsm-2.3.2/dsm/R/dsm.var.movblk.R | 28 +- dsm-2.3.2/dsm/R/dsm.var.prop.R | 83 ++++-- dsm-2.3.2/dsm/R/dsm_varprop.R | 118 +++++---- dsm-2.3.2/dsm/R/dummy_ddf.R | 16 - dsm-2.3.2/dsm/R/generate.ds.uncertainty.R | 16 - dsm-2.3.2/dsm/R/generate.mb.sample.R | 7 dsm-2.3.2/dsm/R/get_hessian.R | 2 dsm-2.3.2/dsm/R/latlong2km.R | 6 dsm-2.3.2/dsm/R/make.data.R | 3 dsm-2.3.2/dsm/R/make.soapgrid.R | 40 +-- dsm-2.3.2/dsm/R/matrixnotposdef.handler.R | 25 + dsm-2.3.2/dsm/R/obs_exp.R | 21 + dsm-2.3.2/dsm/R/plot.dsm.R | 12 dsm-2.3.2/dsm/R/plot.dsm.var.R | 54 ++-- dsm-2.3.2/dsm/R/plot_pred_by_term.R | 24 + dsm-2.3.2/dsm/R/predict.dsm.R | 36 +- dsm-2.3.2/dsm/R/print.dsm.R | 7 dsm-2.3.2/dsm/R/print.dsm.var.R | 9 dsm-2.3.2/dsm/R/print.dsm_varprop.R | 7 dsm-2.3.2/dsm/R/print.summary.dsm.var.R | 22 + dsm-2.3.2/dsm/R/print.summary.dsm_varprop.R | 10 dsm-2.3.2/dsm/R/rqgam.check.R | 51 +--- dsm-2.3.2/dsm/R/summary.dsm.R | 8 dsm-2.3.2/dsm/R/summary.dsm.var.R | 18 - dsm-2.3.2/dsm/R/summary.dsm_varprop.R | 12 dsm-2.3.2/dsm/R/trim.var.R | 14 - dsm-2.3.2/dsm/R/varprop_check.R | 2 dsm-2.3.2/dsm/R/vis.concurvity.R | 23 + dsm-2.3.2/dsm/R/zzz.R | 6 dsm-2.3.2/dsm/README.md | 2 dsm-2.3.2/dsm/man/block.info.per.su.Rd | 18 - dsm-2.3.2/dsm/man/check.cols.Rd | 5 dsm-2.3.2/dsm/man/dsm-data.Rd | 71 +++-- dsm-2.3.2/dsm/man/dsm-package.Rd | 23 + dsm-2.3.2/dsm/man/dsm.Rd | 153 ++++++++---- dsm-2.3.2/dsm/man/dsm.cor.Rd | 47 ++- dsm-2.3.2/dsm/man/dsm.var.gam.Rd | 46 ++- dsm-2.3.2/dsm/man/dsm.var.movblk.Rd | 36 +- dsm-2.3.2/dsm/man/dsm.var.prop.Rd | 101 +++++-- dsm-2.3.2/dsm/man/dsm_varprop.Rd | 95 +++++-- dsm-2.3.2/dsm/man/dummy_ddf.Rd | 6 dsm-2.3.2/dsm/man/generate.ds.uncertainty.Rd | 11 dsm-2.3.2/dsm/man/generate.mb.sample.Rd | 5 dsm-2.3.2/dsm/man/latlong2km.Rd | 6 dsm-2.3.2/dsm/man/make.soapgrid.Rd | 15 - dsm-2.3.2/dsm/man/mexdolphins.Rd | 18 + dsm-2.3.2/dsm/man/obs_exp.Rd | 19 + dsm-2.3.2/dsm/man/plot.dsm.Rd | 8 dsm-2.3.2/dsm/man/plot.dsm.var.Rd | 42 +-- dsm-2.3.2/dsm/man/plot_pred_by_term.Rd | 14 - dsm-2.3.2/dsm/man/predict.dsm.Rd | 35 +- dsm-2.3.2/dsm/man/predict.fake_ddf.Rd | 8 dsm-2.3.2/dsm/man/print.dsm.Rd | 8 dsm-2.3.2/dsm/man/print.dsm.var.Rd | 6 dsm-2.3.2/dsm/man/print.dsm_varprop.Rd | 3 dsm-2.3.2/dsm/man/print.summary.dsm.var.Rd | 3 dsm-2.3.2/dsm/man/print.summary.dsm_varprop.Rd | 3 dsm-2.3.2/dsm/man/rqgam.check.Rd | 22 + dsm-2.3.2/dsm/man/summary.dsm.Rd | 8 dsm-2.3.2/dsm/man/summary.dsm.var.Rd | 14 - dsm-2.3.2/dsm/man/summary.dsm_varprop.Rd | 10 dsm-2.3.2/dsm/man/trim.var.Rd | 12 dsm-2.3.2/dsm/man/vis.concurvity.Rd | 13 - dsm-2.3.2/dsm/tests/testthat.R | 8 dsm-2.3.2/dsm/tests/testthat/test_glm.R | 5 dsm-2.3.2/dsm/tests/testthat/test_input.R | 7 dsm-2.3.2/dsm/tests/testthat/test_mex.R | 6 dsm-2.3.2/dsm/tests/testthat/test_movblk.R | 5 dsm-2.3.2/dsm/tests/testthat/test_predict.R | 6 dsm-2.3.2/dsm/tests/testthat/test_vargam.R | 6 80 files changed, 1543 insertions(+), 956 deletions(-)
More information about coda4microbiome at CRAN
Permanent link
Title: Fit Multivariate Response Generalized Additive Models using
Hamiltonian Monte Carlo
Description: The 'bayesGAM' package is designed to provide a user friendly option to fit univariate and multivariate response Generalized Additive Models (GAM) using Hamiltonian Monte Carlo (HMC) with few technical burdens. The functions in this package use 'rstan' (Stan Development Team 2020) to call 'Stan' routines that run the HMC simulations. The 'Stan' code for these models is already pre-compiled for the user. The programming formulation for models in 'bayesGAM' is designed to be familiar to analysts who fit statistical models in 'R'.
Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., ... & Riddell, A. (2017). Stan: A probabilistic programming language. Journal of statistical software, 76(1).
Stan Development Team. 2018. RStan: the R interface to Stan. R package version 2.17.3. <https://mc-stan.org/>
Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418.
Betancourt, Michael, and Mark Girolami. "Hamiltonian Monte Carlo for hierarchical models." Current trends in Bayesian methodology with applications 79.30 (2015): 2-4.
Thomas, S., Tu, W. (2020) "Learning Hamiltonian Monte Carlo in R" <arXiv:2006.16194>,
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955,
Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034,
Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174.
Ruppert, D., Wand, M. P., & Carroll, R. J. (2003). Semiparametric regression (No. 12). Cambridge university press. ISBN: 978-0521785167.
Author: Samuel Thomas [cre, aut],
Wanzhu Tu [ctb],
Trustees of Columbia University [cph]
Maintainer: Samuel Thomas <samthoma@alumni.iu.edu>
Diff between bayesGAM versions 0.0.1 dated 2020-11-18 and 0.0.2 dated 2022-03-17
DESCRIPTION | 12 MD5 | 109 NAMESPACE | 205 - NEWS.md |only R/AllClasses.R | 392 +- R/AllMethods.R | 6428 ++++++++++++++++----------------- R/bayesGAM-package.R | 30 R/data.r | 94 R/imports.R | 20 R/plotting.R | 720 +-- R/rstanMethods.R | 139 R/semipar_formula.R | 754 +-- R/stanmodels.R | 56 R/tps.R | 338 - R/utils.R | 776 +-- README.md | 20 configure.win | 8 inst/stan/glmm_continuous.stan | 514 +- inst/stan/glmm_discrete.stan | 720 +-- inst/stan/include/license.stan | 28 inst/stan/multresponse_continuous.stan | 746 +-- inst/stan/multresponse_discrete.stan | 872 ++-- man/L.Rd | 72 man/bayesGAM-package.Rd | 24 man/bayesGAM.Rd | 188 man/bayesGAMfit.Rd | 66 man/bloodpressure.Rd | 74 man/coefficients.Rd | 92 man/create_bivariate_design.Rd | 70 man/extract_log_lik_bgam.Rd | 76 man/fitted.Rd | 52 man/getDesign.Rd | 66 man/getModelSlots.Rd | 110 man/getSamples.Rd | 88 man/getStanResults.Rd | 54 man/loo_bgam.Rd | 160 man/loo_compare_bgam.Rd | 82 man/mcmc_plots.Rd | 592 +-- man/mvcorrplot.Rd | 80 man/normal.Rd | 50 man/np.Rd | 92 man/plot.Rd | 84 man/posterior_predict.Rd | 78 man/ppc_plots.Rd | 228 - man/predict.Rd | 76 man/reef.Rd | 72 man/showPrior.Rd | 72 man/st.Rd | 50 man/summary.Rd | 54 man/waic_bgam.Rd | 108 src/Makevars | 4 src/Makevars.win | 4 src/RcppExports.cpp | 5 tests/testthat.R | 10 tests/testthat/test_allstan.R | 122 tests/testthat/test_hmc.R | 302 - 56 files changed, 8158 insertions(+), 8180 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-02-23 1.5
2021-09-12 1.4
2021-08-05 1.3
2021-07-07 1.2
2021-06-19 1.1
2021-06-09 1.0
2021-05-31 0.9
2021-05-21 0.8
2021-04-30 0.7
2021-04-03 0.6
2020-06-05 0.5
2020-05-09 0.4
2019-11-29 0.3
2019-06-28 0.2
2018-07-22 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-02-26 1.0.2
2019-09-02 1.0.1