Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with right-censoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better/worse/equivalently than a random observation drawn from the other group. Summary statistics such as the net treatment benefit, win ratio, or win odds are then deduced from these probabilities. Confidence intervals and p-values are obtained based on asymptotic results (Ozenne 2021 <doi:10.1177/09622802211037067>), non-parametric bootstrap, or permutations. The software enables the use of thresholds of minimal importance difference, stratification, non-prioritized endpoints (O Brien test), and can handle right-censoring and competing-risks.
Author: Brice Ozenne [aut, cre] ,
Eva Cantagallo [aut],
William Anderson [aut],
Julien Peron [ctb],
Johan Verbeeck [ctb]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>
Diff between BuyseTest versions 3.0.4 dated 2024-07-01 and 3.0.5 dated 2024-10-13
DESCRIPTION | 27 +- MD5 | 55 +++--- NAMESPACE | 1 NEWS | 6 R/BuyseTest-check.R | 11 - R/BuyseTest-package.R | 6 R/BuyseTest.R | 7 R/S4-BuyseTest-coef.R | 113 ++++++------ R/S4-BuyseTest-confint.R | 13 - R/S4-BuyseTest-get.R | 25 ++ R/S4-BuyseTest-summary.R | 44 ++-- R/discreteRoot.R | 6 R/iid.prodlim.R | 7 R/sim.simBuyseTest.R |only R/simBuyseTest.R | 65 +++++-- inst/CITATION | 19 +- inst/doc/overview.pdf |binary inst/doc/overview.pdf.asis | 253 ++++++++++++++-------------- inst/doc/wilcoxonTest.pdf |binary inst/doc/wilcoxonTest.pdf.asis | 2 man/BuyseTest-package.Rd | 9 man/BuyseTest.Rd | 7 man/simBuyseTest.Rd | 13 + src/FCT_calcStatistic.h | 159 ++++++++--------- tests/testthat/test-BuyseTTEM.R | 101 +++++++---- tests/testthat/test-BuyseTest-iid.R | 6 tests/testthat/test-BuyseTest-previousBug.R | 74 +++++++- vignettes/overview.pdf.asis | 253 ++++++++++++++-------------- vignettes/wilcoxonTest.pdf.asis | 2 29 files changed, 744 insertions(+), 540 deletions(-)
Title: Estimate Incidence and Prevalence using the OMOP Common Data
Model
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Author: Edward Burn [aut, cre] ,
Berta Raventos [aut] ,
Marti Catala [aut] ,
Mike Du [ctb] ,
Yuchen Guo [ctb] ,
Adam Black [ctb] ,
Ger Inberg [ctb] ,
Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>
Diff between IncidencePrevalence versions 0.7.4 dated 2024-07-01 and 0.8.0 dated 2024-10-13
IncidencePrevalence-0.7.4/IncidencePrevalence/R/utils.R |only IncidencePrevalence-0.7.4/IncidencePrevalence/man/figures/hexsticker.png |only IncidencePrevalence-0.7.4/IncidencePrevalence/man/participants.Rd |only IncidencePrevalence-0.8.0/IncidencePrevalence/DESCRIPTION | 16 IncidencePrevalence-0.8.0/IncidencePrevalence/MD5 | 110 IncidencePrevalence-0.8.0/IncidencePrevalence/NAMESPACE | 12 IncidencePrevalence-0.8.0/IncidencePrevalence/R/benchmarkIncidencePrevalence.R | 474 IncidencePrevalence-0.8.0/IncidencePrevalence/R/dateUtilities.R | 4 IncidencePrevalence-0.8.0/IncidencePrevalence/R/estimateIncidence.R | 1012 - IncidencePrevalence-0.8.0/IncidencePrevalence/R/estimatePrevalence.R | 1126 - IncidencePrevalence-0.8.0/IncidencePrevalence/R/generateDenominatorCohortSet.R | 329 IncidencePrevalence-0.8.0/IncidencePrevalence/R/getDenominatorCohorts.R | 45 IncidencePrevalence-0.8.0/IncidencePrevalence/R/getIncidence.R | 39 IncidencePrevalence-0.8.0/IncidencePrevalence/R/getPrevalence.R | 69 IncidencePrevalence-0.8.0/IncidencePrevalence/R/inputValidation.R | 42 IncidencePrevalence-0.8.0/IncidencePrevalence/R/mockIncidencePrevalenceRef.R | 922 - IncidencePrevalence-0.8.0/IncidencePrevalence/R/plotting.R | 616 IncidencePrevalence-0.8.0/IncidencePrevalence/R/recordAttrition.R | 19 IncidencePrevalence-0.8.0/IncidencePrevalence/R/reexport-omopgenerics.R | 28 IncidencePrevalence-0.8.0/IncidencePrevalence/R/tables.R | 786 - IncidencePrevalence-0.8.0/IncidencePrevalence/README.md | 50 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/WORDLIST | 1 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a01_Introduction_to_IncidencePrevalence.html | 112 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a02_Creating_denominator_populations.R | 1 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a02_Creating_denominator_populations.Rmd | 1 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a02_Creating_denominator_populations.html | 215 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a04_Calculating_prevalence.R | 25 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a04_Calculating_prevalence.Rmd | 35 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a04_Calculating_prevalence.html | 1120 + IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a05_Calculating_incidence.R | 17 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a05_Calculating_incidence.Rmd | 26 IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a05_Calculating_incidence.html | 1035 + IncidencePrevalence-0.8.0/IncidencePrevalence/inst/doc/a06_Plotting_options.html | 10 IncidencePrevalence-0.8.0/IncidencePrevalence/man/IncidencePrevalence-package.Rd | 2 IncidencePrevalence-0.8.0/IncidencePrevalence/man/benchmarkIncidencePrevalence.Rd | 8 IncidencePrevalence-0.8.0/IncidencePrevalence/man/estimateIncidence.Rd | 8 IncidencePrevalence-0.8.0/IncidencePrevalence/man/estimatePeriodPrevalence.Rd | 8 IncidencePrevalence-0.8.0/IncidencePrevalence/man/estimatePointPrevalence.Rd | 8 IncidencePrevalence-0.8.0/IncidencePrevalence/man/figures/README-unnamed-chunk-11-1.png |binary IncidencePrevalence-0.8.0/IncidencePrevalence/man/figures/README-unnamed-chunk-12-1.png |binary IncidencePrevalence-0.8.0/IncidencePrevalence/man/figures/README-unnamed-chunk-13-1.png |binary IncidencePrevalence-0.8.0/IncidencePrevalence/man/figures/logo.png |only IncidencePrevalence-0.8.0/IncidencePrevalence/man/generateTargetDenominatorCohortSet.Rd | 10 IncidencePrevalence-0.8.0/IncidencePrevalence/man/mockIncidencePrevalenceRef.Rd | 8 IncidencePrevalence-0.8.0/IncidencePrevalence/man/reexports.Rd | 3 IncidencePrevalence-0.8.0/IncidencePrevalence/man/tableIncidence.Rd |only IncidencePrevalence-0.8.0/IncidencePrevalence/man/tableIncidenceAttrition.Rd |only IncidencePrevalence-0.8.0/IncidencePrevalence/man/tablePrevalence.Rd |only IncidencePrevalence-0.8.0/IncidencePrevalence/man/tablePrevalenceAttrition.Rd |only IncidencePrevalence-0.8.0/IncidencePrevalence/tests/testthat/test-benchmarkIncidencePrevalence.R | 13 IncidencePrevalence-0.8.0/IncidencePrevalence/tests/testthat/test-dateUtilities.R | 234 IncidencePrevalence-0.8.0/IncidencePrevalence/tests/testthat/test-estimateIncidence.R | 6702 ++++------ IncidencePrevalence-0.8.0/IncidencePrevalence/tests/testthat/test-estimatePrevalence.R | 2840 +--- IncidencePrevalence-0.8.0/IncidencePrevalence/tests/testthat/test-generateDenominatorCohortSet.R | 576 IncidencePrevalence-0.8.0/IncidencePrevalence/tests/testthat/test-mockIncidencePrevalenceRef.R | 543 IncidencePrevalence-0.8.0/IncidencePrevalence/tests/testthat/test-plotting.R | 700 - IncidencePrevalence-0.8.0/IncidencePrevalence/tests/testthat/test-tables.R | 217 IncidencePrevalence-0.8.0/IncidencePrevalence/vignettes/a02_Creating_denominator_populations.Rmd | 1 IncidencePrevalence-0.8.0/IncidencePrevalence/vignettes/a04_Calculating_prevalence.Rmd | 35 IncidencePrevalence-0.8.0/IncidencePrevalence/vignettes/a05_Calculating_incidence.Rmd | 26 60 files changed, 10426 insertions(+), 9813 deletions(-)
More information about IncidencePrevalence at CRAN
Permanent link
Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with
support for SSH and HTTPS remotes. All functions in 'gert' use basic R data
types (such as vectors and data-frames) for their arguments and return values.
User credentials are shared with command line 'git' through the git-credential
store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] ,
Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between gert versions 2.1.2 dated 2024-09-20 and 2.1.3 dated 2024-10-13
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS | 4 ++++ R/branch.R | 6 ++++-- cleanup | 1 - inst/doc/gert.html | 21 +++++++++++---------- man/git_branch.Rd | 10 ++++++++-- src/branch.c | 4 ++-- src/init.c | 4 ++-- src/utils.h | 4 ++-- 10 files changed, 45 insertions(+), 33 deletions(-)
Title: Highest Quality GIF Encoder
Description: Multi-threaded GIF encoder written in Rust: <https://gif.ski/>.
Converts images to GIF animations using pngquant's efficient cross-frame
palettes and temporal dithering with thousands of colors per frame.
Author: Jeroen Ooms [aut, cre] ,
Kornel Lesinski [aut] ,
Authors of the dependency Rust crates [aut]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between gifski versions 1.32.0 dated 2024-10-04 and 1.32.0-1 dated 2024-10-13
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS | 3 +++ configure | 1 + inst/AUTHORS | 2 +- src/Makevars.ucrt | 5 +---- src/myrustlib/vendor-update.sh | 2 +- src/myrustlib/vendor.tar.xz |binary 8 files changed, 17 insertions(+), 16 deletions(-)
Title: Building and Estimating Structural Equation Models
Description: A powerful, easy to syntax for specifying and estimating complex
Structural Equation Models. Models can be estimated using Partial
Least Squares Path Modeling or Covariance-Based Structural Equation
Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).
Author: Soumya Ray [aut, ths],
Nicholas Patrick Danks [aut, cre],
Andre Calero Valdez [aut],
Juan Manuel Velasquez Estrada [ctb],
James Uanhoro [ctb],
Johannes Nakayama [ctb],
Lilian Koyan [ctb],
Laura Burbach [ctb],
Arturo Heynar Cano Bejar [ctb],
Susanne A [...truncated...]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>
Diff between seminr versions 2.3.3 dated 2024-06-17 and 2.3.4 dated 2024-10-13
DESCRIPTION | 8 MD5 | 36 R/evaluate_measurement_model.R | 3 R/evaluate_reliability.R | 370 +- R/evaluate_validity.R | 190 - R/library.R | 776 +++--- R/plot_dot.R | 3352 +++++++++++++------------- R/plot_results.R | 2 README.md | 152 - build/vignette.rds |binary inst/doc/SEMinR.R | 48 inst/doc/SEMinR.html | 50 man/figures/model.png |binary man/figures/model2.png |binary man/figures/model_pls.png |binary tests/testthat/test-plot-basics.R | 4 tests/testthat/test-plot-regression-minimal.R | 2 tests/testthat/test-plot-specifiedmodel.R | 2 tests/testthat/test-summary-cbsem.R | 8 19 files changed, 2505 insertions(+), 2498 deletions(-)
Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical
models and returns the result as tidy data frames. These data frames are
ready to use with the 'ggplot2'-package. Effects and predictions can be
calculated for many different models. Interaction terms, splines and
polynomial terms are also supported. The main functions are ggpredict(),
ggemmeans() and ggeffect(). There is a generic plot()-method to plot the
results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] ,
Frederik Aust [ctb] ,
Sam Crawley [ctb] ,
Mattan S. Ben-Shachar [ctb] ,
Sean C. Anderson [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>
Diff between ggeffects versions 1.7.1 dated 2024-09-01 and 1.7.2 dated 2024-10-13
DESCRIPTION | 6 - MD5 | 69 ++++++++------- NEWS.md | 20 ++++ R/emmeans_prediction_data.R | 144 +++++++++++++++++++++++++-------- R/get_predictions_MixMod.R | 8 + R/get_predictions_geeglm.R | 11 ++ R/get_predictions_glmmTMB.R | 67 +++++++++------ R/get_predictions_merMod.R | 7 + R/ggeffect.R | 23 +++-- R/ggemmeans.R | 54 ++++++++++-- R/ggpredict.R | 21 ++-- R/plot.R | 34 +------ R/pool_comparisons.R | 42 ++++++--- R/pool_predictions.R | 32 ++++++- R/post_processing_labels.R | 2 R/predict_response.R | 96 +++++++++++----------- R/predictions.R | 23 +++-- R/test_predictions.R | 38 +++----- R/test_predictions_emmeans.R | 2 R/test_predictions_ggeffects.R | 13 +- R/utils_ggpredict.R | 62 ++++++++++++++ R/utils_set_attr.R | 3 README.md | 28 +++--- man/figures/unnamed-chunk-4-1.png |binary man/figures/unnamed-chunk-5-1.png |binary man/figures/unnamed-chunk-6-1.png |binary man/figures/unnamed-chunk-7-1.png |binary man/figures/unnamed-chunk-8-1.png |binary man/ggpredict.Rd | 50 +++++++---- man/plot.Rd | 13 -- man/predict_response.Rd | 83 ++++++++++--------- man/test_predictions.Rd | 4 tests/testthat/test-bias_correction.R |only tests/testthat/test-pool_comparisons.R | 2 tests/testthat/test-pool_predictions.R | 2 tests/testthat/test-test_predictions.R | 5 + 36 files changed, 630 insertions(+), 334 deletions(-)
Title: A Set of Common Tools for Seasonal to Decadal Verification
Description: The advanced version of package 's2dverification'. It is
intended for 'seasonal to decadal' (s2d) climate forecast verification, but
it can also be used in other kinds of forecasts or general climate analysis.
This package is specially designed for the comparison between the experimental
and observational datasets. The functionality of the included functions covers
from data retrieval, data post-processing, skill scores against observation,
to visualization. Compared to 's2dverification', 's2dv' is more compatible
with the package 'startR', able to use multiple cores for computation and
handle multi-dimensional arrays with a higher flexibility. The CDO version used
in development is 1.9.8.
Author: BSC-CNS [aut, cph],
An-Chi Ho [aut],
Nuria Perez-Zanon [aut],
Roberto Bilbao [ctb],
Josep Cos [ctb],
Carlos Delgado [ctb],
Llorenc Lledo [ctb],
Andrea Manrique [ctb],
Deborah Verfaillie [ctb],
Eva Rifa [ctb],
Victoria Agudetse [ctb],
Nadia Milders [c [...truncated...]
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>
Diff between s2dv versions 2.0.0 dated 2023-10-11 and 2.1.0 dated 2024-10-13
DESCRIPTION | 24 +- MD5 | 169 ++++++++--------- NAMESPACE | 1 NEWS.md | 23 ++ R/ACC.R | 119 ++++++------ R/AMV.R | 50 ++--- R/AbsBiasSS.R | 37 +-- R/Ano.R | 8 R/Ano_CrossValid.R | 57 ++--- R/Bias.R | 76 ++++++- R/BrierScore.R | 38 +-- R/CDORemap.R | 218 +++++++++++++--------- R/CRPS.R | 52 +++-- R/CRPSS.R | 155 +++++++++++---- R/Clim.R | 63 +++--- R/Cluster.R | 15 - R/Composite.R | 14 - R/Consist_Trend.R | 22 +- R/Corr.R | 102 ++++++---- R/DiffCorr.R | 38 ++- R/EOF.R | 20 +- R/Eno.R | 14 - R/EuroAtlanticTC.R | 14 - R/Filter.R | 17 - R/GMST.R | 45 ++-- R/GSAT.R | 48 ++-- R/GetProbs.R | 229 ++++++++++++++++------- R/Histo2Hindcast.R | 43 ++-- R/MSE.R | 27 +- R/MSSS.R | 103 +++++++--- R/MeanDims.R | 8 R/NAO.R | 403 +++++++++++++++++++++++++++-------------- R/Persistence.R | 84 ++++---- R/PlotBoxWhisker.R | 2 R/PlotEquiMap.R | 3 R/PlotLayout.R | 4 R/PlotStereoMap.R | 2 R/ProbBins.R | 25 +- R/ProjectField.R | 39 +-- R/REOF.R | 30 +-- R/RMS.R | 27 +- R/RMSSS.R | 102 +++++++--- R/ROCSS.R | 41 ++-- R/RPS.R | 109 ++++++----- R/RPSS.R | 220 ++++++++++++++++------ R/RandomWalkTest.R | 71 +++++-- R/RatioPredictableComponents.R | 10 - R/RatioRMS.R | 29 +- R/RatioSDRMS.R | 16 - R/Regression.R | 42 ++-- R/Reorder.R | 16 - R/ResidualCorr.R | 23 +- R/SPOD.R | 50 ++--- R/Season.R | 26 +- R/SignalNoiseRatio.R | 9 R/Smoothing.R | 10 - R/Spectrum.R | 6 R/SprErr.R |only R/Spread.R | 4 R/StatSeasAtlHurr.R | 12 - R/TPI.R | 47 ++-- R/Trend.R | 10 - R/UltimateBrier.R | 50 ++--- R/Utils.R | 388 +++++++++++++++++++++++++-------------- inst/CITATION |only man/ACC.Rd | 3 man/Bias.Rd | 11 + man/CDORemap.Rd | 4 man/CRPS.Rd | 5 man/CRPSS.Rd | 8 man/Clim.Rd | 3 man/Corr.Rd | 3 man/GetProbs.Rd | 35 +++ man/MSE.Rd | 3 man/MSSS.Rd | 8 man/NAO.Rd | 38 ++- man/Persistence.Rd | 8 man/PlotBoxWhisker.Rd | 2 man/PlotStereoMap.Rd | 2 man/RMSSS.Rd | 8 man/RPS.Rd | 5 man/RPSS.Rd | 10 - man/RandomWalkTest.Rd | 7 man/RatioRMS.Rd | 6 man/Season.Rd | 10 - man/SprErr.Rd |only man/s2dv-package.Rd | 5 87 files changed, 2456 insertions(+), 1487 deletions(-)
Title: Using R to Run 'JAGS'
Description: Providing wrapper functions to implement Bayesian analysis in JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics, automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC model for multiple chains.
Author: Yu-Sung Su [aut, cre] ,
Masanao Yajima [aut],
Gianluca Baio [ctb]
Maintainer: Yu-Sung Su <suyusung@tsinghua.edu.cn>
Diff between R2jags versions 0.8-5 dated 2024-05-04 and 0.8-9 dated 2024-10-13
CHANGELOG | 23 ++++++++++++++++ DESCRIPTION | 18 +++++++----- MD5 | 14 +++++----- R/as.bugs.array2.R | 15 +++++++--- R/jags.R | 74 ++++++++++++++++++++++++++++++++++++++--------------- R/jags.sims.R | 9 +++--- R/print.R | 15 +++++++--- man/jags.Rd | 25 ++++++++++++++--- 8 files changed, 141 insertions(+), 52 deletions(-)
Title: Dive Analysis and Calibration
Description: Utilities to represent, visualize, filter, analyse, and summarize
time-depth recorder (TDR) data. Miscellaneous functions for
handling location data are also provided.
Author: Sebastian P. Luque [aut, cre]
Maintainer: Sebastian P. Luque <spluque@gmail.com>
Diff between diveMove versions 1.6.2 dated 2024-01-23 and 1.6.4 dated 2024-10-13
DESCRIPTION | 15 ++++++++++----- MD5 | 16 ++++++++-------- NEWS | 4 ++++ R/calibrate.R | 11 +++++------ build/vignette.rds |binary inst/doc/diveMove.html | 12 ++++++------ man/calibrateDepth.Rd | 11 +++++------ man/labDive-internal.Rd | 5 +++-- src/run_quantile.c | 26 ++++++++++++-------------- 9 files changed, 53 insertions(+), 47 deletions(-)
Title: 'CDsampling': Constraint Sampling in Paid Research Studies
Description: In the context of paid research studies and clinical trials, budget considerations and patient sampling from available populations are subject to inherent constraints. We introduce the 'CDsampling' package, which integrates optimal design theories within the framework of constrained sampling. This package offers the possibility to find both D-optimal approximate and exact allocations for samplings with or without constraints. Additionally, it provides functions to find constrained uniform sampling as a robust sampling strategy with limited model information. Our package offers functions for the computation of the Fisher information matrix under generalized linear models (including regular linear regression model) and multinomial logistic models.To demonstrate the applications, we also provide a simulated dataset and a real dataset embedded in the package. Yifei Huang, Liping Tong, and Jie Yang (2025)<doi:10.5705/ss.202022.0414>.
Author: Yifei Huang [aut, cre],
Liping Tong [aut],
Jie Yang [aut]
Maintainer: Yifei Huang <yhuan39@uic.edu>
Diff between CDsampling versions 0.1.0 dated 2024-10-07 and 0.1.1 dated 2024-10-13
DESCRIPTION | 9 ++-- MD5 | 14 +++---- R/liftone_constrained_MLM.R | 2 - inst/doc/Intro_to_CDsampling.R | 5 +- inst/doc/Intro_to_CDsampling.Rmd | 5 +- inst/doc/Intro_to_CDsampling.html | 74 +++++++++++++++++++------------------- man/liftone_constrained_MLM.Rd | 2 - vignettes/Intro_to_CDsampling.Rmd | 5 +- 8 files changed, 61 insertions(+), 55 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-04-04 0.1.5-1.1
2012-05-02 0.1.5-1
2011-10-04 0.1.4-4
2011-04-26 0.1.4-2
2011-04-24 0.1.3-7
2011-04-24 0.1.4-1
2011-04-08 0.1.3-4
2011-04-05 0.1.3-3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-06-27 1.1
2016-09-26 1.0.1
2016-08-01 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-08-26 0.2.6-1.1
2018-11-29 0.2.6-1
2013-08-26 0.2.5-1
2012-10-05 0.2.4-14
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-10-31 1.1
2016-10-09 1.0
Title: Causal Inference with Tree-Based Machine Learning Algorithms
Description: Estimating heterogeneous treatment effects with tree-based machine
learning algorithms and visualizing estimated results in flexible and
presentation-ready ways. For more information, see Brand, Xu, Koch,
and Geraldo (2021) <doi:10.1177/0081175021993503>. Our current package
first started as a fork of the 'causalTree' package on 'GitHub' and we
greatly appreciate the authors for their extremely useful and free package.
Author: Jiahui Xu [cre, aut],
Tanvi Shinkre [aut],
Jennie Brand [aut]
Maintainer: Jiahui Xu <jiahuixu@ucla.edu>
Diff between htetree versions 0.1.18 dated 2023-11-29 and 0.1.19 dated 2024-10-13
DESCRIPTION | 8 ++++---- MD5 | 34 +++++++++++++++++----------------- NAMESPACE | 2 +- R/causalForest.R | 10 +++++----- R/causalTree.R | 10 +++++----- R/honest.causalTree.R | 6 +++--- R/honest.est.causalTree.R | 2 +- R/model.frame.causalTree.R | 2 +- man/causalForest.Rd | 10 +++++----- man/causalTree.Rd | 10 +++++----- man/causalTree.control.Rd | 2 +- man/honest.causalTree.Rd | 10 +++++----- man/honest.est.causalTree.Rd | 2 +- man/honest.rparttree.Rd | 4 ++-- man/model.frame.causalTree.Rd | 4 ++-- src/free_tree.c | 18 +++++++++++++----- src/insert_split.c | 8 +++++--- src/myxval.c | 4 ++-- 18 files changed, 78 insertions(+), 68 deletions(-)
Title: Interface to the 'nanoarrow' 'C' Library
Description: Provides an 'R' interface to the 'nanoarrow' 'C' library and the
'Apache Arrow' application binary interface. Functions to import and
export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures
to and from 'R' objects are provided alongside helpers to facilitate zero-copy
data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C'
data interface.
Author: Dewey Dunnington [aut, cre] ,
Apache Arrow [aut, cph],
Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>
Diff between nanoarrow versions 0.5.0.1 dated 2024-05-31 and 0.6.0 dated 2024-10-13
DESCRIPTION | 10 MD5 | 98 NAMESPACE | 5 NEWS.md | 9 R/buffer.R | 27 R/convert-array.R | 4 R/extension-vctrs.R | 112 R/extension.R | 33 R/infer-ptype.R | 3 R/ipc.R | 72 R/type.R | 17 man/convert_array.Rd | 4 man/na_type.Rd | 6 man/read_nanoarrow.Rd | 18 src/Makevars | 6 src/array.c | 12 src/as_array.c | 194 src/buffer.c | 6 src/flatcc.c | 144 src/flatcc/flatcc_accessors.h | 23 src/flatcc/flatcc_alloc.h | 1 src/flatcc/flatcc_builder.h | 17 src/flatcc/flatcc_flatbuffers.h | 2 src/flatcc/flatcc_portable.h |only src/flatcc/flatcc_rtconfig.h | 9 src/flatcc/flatcc_verifier.h | 28 src/flatcc/portable/paligned_alloc.h | 3 src/flatcc/portable/pattributes.h | 4 src/flatcc/portable/pmemaccess.h |only src/flatcc/portable/portable_basic.h | 2 src/flatcc/portable/prestrict.h |only src/flatcc/portable/punaligned.h | 2 src/infer_ptype.c | 2 src/init.c | 5 src/ipc.c | 149 src/materialize_blob.h | 2 src/materialize_chr.h | 1 src/materialize_dbl.h | 1 src/nanoarrow.c | 701 ++- src/nanoarrow.h | 602 ++ src/nanoarrow_ipc.c | 7113 +++++++++++++++++++++++++++++++++- src/nanoarrow_ipc.h | 312 + src/util.c | 7 src/util.h | 1 tests/testthat/_snaps/array.md |only tests/testthat/test-array.R | 11 tests/testthat/test-as-array.R | 137 tests/testthat/test-buffer.R | 5 tests/testthat/test-convert-array.R | 31 tests/testthat/test-extension-vctrs.R | 67 tests/testthat/test-extension.R | 57 tests/testthat/test-ipc.R | 95 52 files changed, 9497 insertions(+), 673 deletions(-)
Title: Tools for Customer Lifetime Value Estimation
Description: A set of state-of-the-art probabilistic modeling approaches to derive estimates of individual customer lifetime values (CLV).
Commonly, probabilistic approaches focus on modelling 3 processes, i.e. individuals' attrition, transaction, and spending process.
Latent customer attrition models, which are also known as "buy-'til-you-die models", model the attrition as well as the transaction process.
They are used to make inferences and predictions about transactional patterns of individual customers such as their future purchase behavior.
Moreover, these models have also been used to predict individuals’ long-term engagement in activities such as playing an online game or
posting to a social media platform. The spending process is usually modelled by a separate probabilistic model. Combining these results yields in
lifetime values estimates for individual customers.
This package includes fast and accurate implementations of various probabilistic models for non-contractual settings
(e.g., gr [...truncated...]
Author: Patrick Bachmann [cre, aut],
Niels Kuebler [aut],
Markus Meierer [aut],
Jeffrey Naef [aut],
E. Shin Oblander [aut],
Patrik Schilter [aut]
Maintainer: Patrick Bachmann <pbachma@ethz.ch>
Diff between CLVTools versions 0.11.0 dated 2024-08-17 and 0.11.1 dated 2024-10-13
DESCRIPTION | 10 MD5 | 202 +-- NEWS.md | 12 R/clv_template_controlflow_predict.R | 35 R/data.R | 39 R/f_generics_clvfitted.R | 4 R/f_generics_clvfittedspending.R | 7 R/f_generics_clvfittedtransactions.R | 19 R/f_interface_lrtest.R | 9 R/f_interface_newcustomer.R | 16 R/f_interface_pnbd.R | 6 R/f_interface_predict_clvfittedspending.R | 2 R/f_interface_predict_clvfittedtransactions.R | 17 data/apparelDynCov.rda |binary data/apparelDynCovFuture.rda |only data/apparelStaticCov.rda |binary data/apparelTrans.rda |binary inst/doc/CLVTools.R | 12 inst/doc/CLVTools.Rmd | 16 inst/doc/CLVTools.pdf |binary man/SetDynamicCovariates.Rd | 4 man/apparelDynCov.Rd | 6 man/apparelDynCovFuture.Rd |only man/apparelStaticCov.Rd | 4 man/apparelTrans.Rd | 6 man/bgnbd.Rd | 2 man/gg.Rd | 2 man/ggomnbd.Rd | 2 man/lrtest.Rd | 9 man/newcustomer.Rd | 16 man/pnbd.Rd | 8 man/predict.clv.fitted.spending.Rd | 2 man/predict.clv.fitted.transactions.Rd | 15 man/summary.clv.data.Rd | 2 man/summary.clv.fitted.Rd | 2 src/ggomnbd.cpp | 2 tests/testthat/fitted_dyncov.rds |binary tests/testthat/helper_arrange.R | 82 - tests/testthat/helper_testthat_consistency.R | 38 tests/testthat/helper_testthat_correctness_clvfitted.R | 8 tests/testthat/helper_testthat_correctness_spending.R | 15 tests/testthat/helper_testthat_correctness_transactions.R | 58 - tests/testthat/helper_testthat_dyncov.R | 3 tests/testthat/helper_testthat_inputchecks_nocov.R | 38 tests/testthat/helper_testthat_inputchecks_predict_plot.R | 14 tests/testthat/helper_testthat_inputchecks_staticcov.R | 8 tests/testthat/helper_testthat_runability_clvfitted.R | 6 tests/testthat/helper_testthat_runability_dynamiccov.R | 44 tests/testthat/helper_testthat_runability_nocov.R | 38 tests/testthat/helper_testthat_runability_spending.R | 25 tests/testthat/helper_testthat_runability_staticcov.R | 34 tests/testthat/test_consistency_bgnbd.R | 9 tests/testthat/test_consistency_ggomnbd.R | 9 tests/testthat/test_consistency_pnbd.R | 11 tests/testthat/test_correctness_bgnbd.R | 23 tests/testthat/test_correctness_bootstrapping.R | 22 tests/testthat/test_correctness_clvdata_clvdata.R | 4 tests/testthat/test_correctness_clvdata_s3.R | 42 tests/testthat/test_correctness_clvdata_setdynamiccov.R | 24 tests/testthat/test_correctness_clvdata_setstaticcov.R | 9 tests/testthat/test_correctness_dynamiccov_walkcreation.R | 87 - tests/testthat/test_correctness_gg.R | 14 tests/testthat/test_correctness_ggomnbd.R | 32 tests/testthat/test_correctness_latentattrition.R | 20 tests/testthat/test_correctness_pnbd_dyncov.R | 133 +- tests/testthat/test_correctness_pnbd_nocovstaticcov.R | 26 tests/testthat/test_correctness_spending.R | 2 tests/testthat/test_inputchecks_bgnbd_nocov.R | 12 tests/testthat/test_inputchecks_bgnbd_staticcov.R | 13 tests/testthat/test_inputchecks_bootstrapping.R | 4 tests/testthat/test_inputchecks_clvdata_clvdata.R | 3 tests/testthat/test_inputchecks_clvdata_plot.R | 5 tests/testthat/test_inputchecks_clvdata_setdynamiccov.R | 728 +++----------- tests/testthat/test_inputchecks_gg.R | 10 tests/testthat/test_inputchecks_ggomnbd_nocov.R | 11 tests/testthat/test_inputchecks_ggomnbd_staticcov.R | 13 tests/testthat/test_inputchecks_latentattrition.R | 13 tests/testthat/test_inputchecks_newcustomer.R | 4 tests/testthat/test_inputchecks_plot_spending.R | 37 tests/testthat/test_inputchecks_plot_transactions.R | 36 tests/testthat/test_inputchecks_pmf.R | 4 tests/testthat/test_inputchecks_pnbd_nocov.R | 12 tests/testthat/test_inputchecks_pnbd_staticcov.R | 13 tests/testthat/test_inputchecks_predict_spending.R | 18 tests/testthat/test_inputchecks_predict_transactions.R | 36 tests/testthat/test_inputchecks_spending.R | 2 tests/testthat/test_runability_bgnbd_nocov.R | 13 tests/testthat/test_runability_bgnbd_staticcov.R | 15 tests/testthat/test_runability_bootstrapping.R | 50 tests/testthat/test_runability_clvdata_s3.R | 44 tests/testthat/test_runability_clvdata_setdynamiccov.R | 12 tests/testthat/test_runability_clvdata_setstaticcov.R | 6 tests/testthat/test_runability_gg.R | 16 tests/testthat/test_runability_ggomnbd_nocov.R | 13 tests/testthat/test_runability_ggomnbd_staticcov.R | 15 tests/testthat/test_runability_latentattrition.R | 10 tests/testthat/test_runability_lrtest.R | 26 tests/testthat/test_runability_newcustomer.R | 8 tests/testthat/test_runability_pnbd_dynamiccov.R | 19 tests/testthat/test_runability_pnbd_nocov.R | 16 tests/testthat/test_runability_pnbd_staticcov.R | 16 tests/testthat/test_runability_spending.R | 10 vignettes/CLVTools.Rmd | 16 103 files changed, 1115 insertions(+), 1530 deletions(-)
Title: Access Data from the Atlas do Estado Brasileiro
Description: Facilitates access to the data from the Atlas do Estado Brasileiro
(<https://www.ipea.gov.br/atlasestado/>), maintained by the Instituto de
Pesquisa Econômica Aplicada (Ipea). It allows users to search for specific
series, list series or themes, and download data when available.
Author: Hugo Macedo [aut, cre, cph]
Maintainer: Hugo Macedo <aebdata@hhmace.do>
Diff between aebdata versions 0.1.0 dated 2024-08-19 and 0.1.1 dated 2024-10-13
DESCRIPTION | 10 ++--- MD5 | 12 +++--- NEWS.md | 4 ++ README.md | 76 ++++++++++++++++++++-------------------- inst/doc/exploring-data.html | 17 ++++++++ tests/testthat/_data/list.rds |binary tests/testthat/_data/search.rds |binary 7 files changed, 69 insertions(+), 50 deletions(-)