Title: Modern Reactive Terminal Applications with Data Workflows
Description: Build modern reactive terminal applications for data workflows
in R using reusable widgets, layouts, events, focus management and
themes. A virtual screen buffer and incremental rendering update changed
cells, while a headless driver supports deterministic application tests.
Includes data tables that render visible rows on demand, lazy table
sources, data inspection, SQL editing and background R workers with
progress and streamed output.
Optional database support and static text, Markdown, HTML, SVG and
JSON exports support analytical tools and reports without requiring an
interactive terminal for static output.
Author: Akims Mensikovs [aut, cre, cph]
Maintainer: Akims Mensikovs <akimm7926@gmail.com>
Diff between termr versions 1.0.1 dated 2026-10-21 and 1.0.2 dated 2026-11-08
DESCRIPTION | 12 MD5 | 14 NEWS.md | 700 +++++++++++++++++++-------------------- README.md | 34 - man/termr-package.Rd | 4 tests/testthat/test-datatable2.R | 641 +++++++++++++++++------------------ tests/testthat/test-paste.R | 167 ++++----- tests/testthat/test-signals.R | 566 +++++++++++++++---------------- 8 files changed, 1078 insertions(+), 1060 deletions(-)
Title: 'airGR' Integrated Water Resource Management
Description: Semi-distributed Precipitation-Runoff Modeling based on
'airGR' package models integrating human infrastructures and their
managements.
Author: David Dorchies [aut, cre] ,
Olivier Delaigue [ctb] ,
Guillaume Thirel [ctb]
Maintainer: David Dorchies <david.dorchies@inrae.fr>
Diff between airGRiwrm versions 0.7.0 dated 2024-09-22 and 0.8.1 dated 2026-11-08
airGRiwrm-0.7.0/airGRiwrm/man/getNoSD_Ids.Rd |only airGRiwrm-0.8.1/airGRiwrm/DESCRIPTION | 21 airGRiwrm-0.8.1/airGRiwrm/MD5 | 271 +- airGRiwrm-0.8.1/airGRiwrm/NAMESPACE | 158 - airGRiwrm-0.8.1/airGRiwrm/NEWS.md | 662 +++-- airGRiwrm-0.8.1/airGRiwrm/R/Calibration.GRiwrmInputsModel.R | 327 +- airGRiwrm-0.8.1/airGRiwrm/R/Calibration.InputsModel.R | 71 airGRiwrm-0.8.1/airGRiwrm/R/Calibration.R | 158 - airGRiwrm-0.8.1/airGRiwrm/R/ConvertMeteoSD.R | 216 - airGRiwrm-0.8.1/airGRiwrm/R/CreateCalibOptions.GRiwrmInputsModel.R | 140 - airGRiwrm-0.8.1/airGRiwrm/R/CreateCalibOptions.R | 444 ++- airGRiwrm-0.8.1/airGRiwrm/R/CreateController.R | 302 +- airGRiwrm-0.8.1/airGRiwrm/R/CreateGRiwrm.R | 844 +++---- airGRiwrm-0.8.1/airGRiwrm/R/CreateInputsCrit.GRiwrmInputsModel.R | 458 ++- airGRiwrm-0.8.1/airGRiwrm/R/CreateInputsCrit.InputsModel.R | 14 airGRiwrm-0.8.1/airGRiwrm/R/CreateInputsCrit.R | 182 + airGRiwrm-0.8.1/airGRiwrm/R/CreateInputsModel.GRiwrm.R | 1190 +++++----- airGRiwrm-0.8.1/airGRiwrm/R/CreateInputsModel.R | 43 airGRiwrm-0.8.1/airGRiwrm/R/CreateRunOptions.GRiwrmInputsModel.R | 169 + airGRiwrm-0.8.1/airGRiwrm/R/CreateRunOptions.R | 350 ++ airGRiwrm-0.8.1/airGRiwrm/R/CreateSupervisor.R | 166 - airGRiwrm-0.8.1/airGRiwrm/R/RunModel.GR.R | 71 airGRiwrm-0.8.1/airGRiwrm/R/RunModel.GRiwrmInputsModel.R | 125 - airGRiwrm-0.8.1/airGRiwrm/R/RunModel.GRiwrmOutputsModel.R |only airGRiwrm-0.8.1/airGRiwrm/R/RunModel.InputsModel.R | 287 +- airGRiwrm-0.8.1/airGRiwrm/R/RunModel.R | 20 airGRiwrm-0.8.1/airGRiwrm/R/RunModel.Supervisor.R | 450 ++- airGRiwrm-0.8.1/airGRiwrm/R/RunModel_Reservoir.R | 365 +-- airGRiwrm-0.8.1/airGRiwrm/R/RunModel_Routing.R | 477 ++-- airGRiwrm-0.8.1/airGRiwrm/R/Severn.R | 22 airGRiwrm-0.8.1/airGRiwrm/R/UpdateQsimUpstream.R | 60 airGRiwrm-0.8.1/airGRiwrm/R/airGRiwrm-package.R | 150 - airGRiwrm-0.8.1/airGRiwrm/R/getNodeProperties.R | 218 - airGRiwrm-0.8.1/airGRiwrm/R/getNodeRanking.R | 262 +- airGRiwrm-0.8.1/airGRiwrm/R/plot.GRiwrm.R | 731 +++--- airGRiwrm-0.8.1/airGRiwrm/R/plot.GRiwrmOutputsModel.R | 528 +++- airGRiwrm-0.8.1/airGRiwrm/R/plot.OutputsModelReservoir.R | 88 airGRiwrm-0.8.1/airGRiwrm/R/plot.Qm3s.R | 186 - airGRiwrm-0.8.1/airGRiwrm/R/utils.Calibration.R | 750 +++--- airGRiwrm-0.8.1/airGRiwrm/R/utils.CreateInputsModel.R | 230 + airGRiwrm-0.8.1/airGRiwrm/R/utils.GRiwrm.R | 361 +-- airGRiwrm-0.8.1/airGRiwrm/R/utils.R |only airGRiwrm-0.8.1/airGRiwrm/R/utils.RunModel.R | 352 ++ airGRiwrm-0.8.1/airGRiwrm/R/utils.Supervisor.R | 312 +- airGRiwrm-0.8.1/airGRiwrm/README.md | 172 - airGRiwrm-0.8.1/airGRiwrm/build/partial.rdb |binary airGRiwrm-0.8.1/airGRiwrm/build/vignette.rds |binary airGRiwrm-0.8.1/airGRiwrm/inst/CITATION | 50 airGRiwrm-0.8.1/airGRiwrm/inst/WORDLIST | 445 ++- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V01_Structure_SD_model.Rmd | 242 +- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V01_Structure_SD_model.html | 15 airGRiwrm-0.8.1/airGRiwrm/inst/doc/V02_Calibration_SD_model.Rmd | 320 +- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V02_Calibration_SD_model.html | 151 - airGRiwrm-0.8.1/airGRiwrm/inst/doc/V03_Open-loop_influenced_flow.Rmd | 326 +- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V03_Open-loop_influenced_flow.html | 40 airGRiwrm-0.8.1/airGRiwrm/inst/doc/V04_Closed-loop_regulated_withdrawal.R | 405 ++- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V04_Closed-loop_regulated_withdrawal.Rmd | 1150 ++++++--- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V04_Closed-loop_regulated_withdrawal.html | 980 ++++++-- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V05_Modelling_ungauged_nodes.Rmd | 408 +-- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V05_Modelling_ungauged_nodes.html | 42 airGRiwrm-0.8.1/airGRiwrm/inst/doc/V06_Modelling_regulated_diversion.R | 2 airGRiwrm-0.8.1/airGRiwrm/inst/doc/V06_Modelling_regulated_diversion.Rmd | 428 +-- airGRiwrm-0.8.1/airGRiwrm/inst/doc/V06_Modelling_regulated_diversion.html | 9 airGRiwrm-0.8.1/airGRiwrm/inst/doc/V07_Combine_tactical_operational_management.R |only airGRiwrm-0.8.1/airGRiwrm/inst/doc/V07_Combine_tactical_operational_management.Rmd |only airGRiwrm-0.8.1/airGRiwrm/inst/doc/V07_Combine_tactical_operational_management.html |only airGRiwrm-0.8.1/airGRiwrm/inst/doc/airGRiwrm.Rmd | 42 airGRiwrm-0.8.1/airGRiwrm/inst/doc/airGRiwrm.html | 2 airGRiwrm-0.8.1/airGRiwrm/man/Calibration.Rd | 216 + airGRiwrm-0.8.1/airGRiwrm/man/ConvertMeteoSD.Rd | 78 airGRiwrm-0.8.1/airGRiwrm/man/CreateCalibOptions.Rd | 360 ++- airGRiwrm-0.8.1/airGRiwrm/man/CreateController.Rd | 98 airGRiwrm-0.8.1/airGRiwrm/man/CreateGRiwrm.Rd | 348 +- airGRiwrm-0.8.1/airGRiwrm/man/CreateInputsCrit.Rd | 248 +- airGRiwrm-0.8.1/airGRiwrm/man/CreateInputsModel.GRiwrm.Rd | 297 +- airGRiwrm-0.8.1/airGRiwrm/man/CreateInputsModel.Rd | 50 airGRiwrm-0.8.1/airGRiwrm/man/CreateRunOptions.Rd | 182 + airGRiwrm-0.8.1/airGRiwrm/man/CreateSupervisor.Rd | 68 airGRiwrm-0.8.1/airGRiwrm/man/RunModel.GR.Rd | 59 airGRiwrm-0.8.1/airGRiwrm/man/RunModel.GRiwrmInputsModel.Rd | 564 ++-- airGRiwrm-0.8.1/airGRiwrm/man/RunModel.GRiwrmOutputsModel.Rd |only airGRiwrm-0.8.1/airGRiwrm/man/RunModel.InputsModel.Rd | 78 airGRiwrm-0.8.1/airGRiwrm/man/RunModel.Rd | 38 airGRiwrm-0.8.1/airGRiwrm/man/RunModel.Supervisor.Rd | 326 +- airGRiwrm-0.8.1/airGRiwrm/man/RunModel_Reservoir.Rd | 555 +++- airGRiwrm-0.8.1/airGRiwrm/man/Severn.Rd | 50 airGRiwrm-0.8.1/airGRiwrm/man/adjustMeteoToCatchment.Rd |only airGRiwrm-0.8.1/airGRiwrm/man/airGRiwrm-package.Rd | 205 - airGRiwrm-0.8.1/airGRiwrm/man/as.Qm3s.Rd | 38 airGRiwrm-0.8.1/airGRiwrm/man/extractParam.Rd | 58 airGRiwrm-0.8.1/airGRiwrm/man/getDefaultAprioriIds.Rd |only airGRiwrm-0.8.1/airGRiwrm/man/getNextTimeSteps.Rd |only airGRiwrm-0.8.1/airGRiwrm/man/getNodeProperties.Rd | 170 - airGRiwrm-0.8.1/airGRiwrm/man/getNodeRanking.Rd | 54 airGRiwrm-0.8.1/airGRiwrm/man/getSD_Ids.Rd | 43 airGRiwrm-0.8.1/airGRiwrm/man/isNodeDownstream.Rd | 78 airGRiwrm-0.8.1/airGRiwrm/man/merge.OutputsModel.Rd |only airGRiwrm-0.8.1/airGRiwrm/man/mermaid.Rd | 185 - airGRiwrm-0.8.1/airGRiwrm/man/plot.GRiwrm.Rd | 296 +- airGRiwrm-0.8.1/airGRiwrm/man/plot.GRiwrmOutputsModel.Rd | 92 airGRiwrm-0.8.1/airGRiwrm/man/plot.OutputsModelReservoir.Rd | 465 ++- airGRiwrm-0.8.1/airGRiwrm/man/plot.Qm3s.Rd | 122 - airGRiwrm-0.8.1/airGRiwrm/man/reduceGRiwrm.Rd | 74 airGRiwrm-0.8.1/airGRiwrm/man/sort.GRiwrm.Rd | 48 airGRiwrm-0.8.1/airGRiwrm/man/transferGRparams.Rd | 104 airGRiwrm-0.8.1/airGRiwrm/tests/spelling.R | 10 airGRiwrm-0.8.1/airGRiwrm/tests/testthat.R | 8 airGRiwrm-0.8.1/airGRiwrm/tests/testthat/Rplots.pdf |only airGRiwrm-0.8.1/airGRiwrm/tests/testthat/helper_0_loadSevernNodes.R | 53 airGRiwrm-0.8.1/airGRiwrm/tests/testthat/helper_1_RunModel.R | 280 +- airGRiwrm-0.8.1/airGRiwrm/tests/testthat/helper_Calibration.R | 107 airGRiwrm-0.8.1/airGRiwrm/tests/testthat/helper_RunModel_Reservoir.R | 184 - 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Title: Flexible Record Linkage and Linked Data Quality Assessment
Description: Probabilistically link records that refer to the same entities across two data sources without a unique identifier, using partially identifying variables such as product code, brand, category, birth year, sex or postal code. 'FlexRL' implements a Stochastic Expectation Maximisation (StEM) approach to Record Linkage (Robach et al., 2025, <doi:10.1093/jrsssc/qlaf016>). The model accounts for registration errors (missing values and mistakes) and for variables that change over time, enforces one-to-one assignment, and has a low memory footprint. The package also provides tools for inference on linked data: two estimators of the false discovery proportion of a linkage (Robach et al., 2025, <doi:10.1002/sim.70292>), based on linkage scores and on synthetic data, and diagnostics comparing the linked sample with the source data. These tools also apply on the linkage output of other record linkage packages.
Author: Kayane ROBACH [aut, cre, cph] ,
Michel H. HOF [aut, cph]
Maintainer: Kayane ROBACH <k.c.robach@amsterdamumc.nl>
Diff between FlexRL versions 1.0.0 dated 2026-10-07 and 2.0.0 dated 2026-11-08
FlexRL-1.0.0/FlexRL/man/figures |only FlexRL-1.0.0/FlexRL/vignettes/FlexRL-RL-block-vignette.Rmd.orig |only FlexRL-1.0.0/FlexRL/vignettes/FlexRL-RL-vignette.Rmd.orig |only FlexRL-1.0.0/FlexRL/vignettes/SHIW-full-results.csv |only FlexRL-1.0.0/FlexRL/vignettes/SHIW2016.csv |only FlexRL-1.0.0/FlexRL/vignettes/SHIW2020.csv |only FlexRL-1.0.0/FlexRL/vignettes/ex-reg-SHIW-16.csv |only FlexRL-1.0.0/FlexRL/vignettes/ex-reg-SHIW-20.csv |only FlexRL-2.0.0/FlexRL/DESCRIPTION | 13 FlexRL-2.0.0/FlexRL/MD5 | 105 FlexRL-2.0.0/FlexRL/NEWS.md | 54 FlexRL-2.0.0/FlexRL/R/FlexRecordLinkage.r | 478 ++- FlexRL-2.0.0/FlexRL/R/RcppExports.R | 28 FlexRL-2.0.0/FlexRL/R/zzz.R | 34 FlexRL-2.0.0/FlexRL/README.md |only FlexRL-2.0.0/FlexRL/build/vignette.rds |binary FlexRL-2.0.0/FlexRL/inst/CITATION | 11 FlexRL-2.0.0/FlexRL/inst/doc/FlexRL-RL-block-vignette.Rmd |only FlexRL-2.0.0/FlexRL/inst/doc/FlexRL-RL-block-vignette.html |only FlexRL-2.0.0/FlexRL/inst/doc/FlexRL-RL-vignette.Rmd | 671 +++-- FlexRL-2.0.0/FlexRL/inst/doc/FlexRL-RL-vignette.html | 1237 ++++++---- FlexRL-2.0.0/FlexRL/man/FlexRL.Rd | 16 FlexRL-2.0.0/FlexRL/man/RL_diagnostics.Rd | 29 FlexRL-2.0.0/FlexRL/man/StEM.Rd | 8 FlexRL-2.0.0/FlexRL/man/compute_RL_FDP_score.Rd | 5 FlexRL-2.0.0/FlexRL/man/compute_augmRL_FDP_synth.Rd | 5 FlexRL-2.0.0/FlexRL/man/simulateD.Rd | 20 FlexRL-2.0.0/FlexRL/man/simulateH.Rd | 1 FlexRL-2.0.0/FlexRL/man/survival_S.Rd |only FlexRL-2.0.0/FlexRL/src/FlexRLfunctions.cpp | 870 +++++-- FlexRL-2.0.0/FlexRL/src/Makevars |only FlexRL-2.0.0/FlexRL/src/Makevars.win |only FlexRL-2.0.0/FlexRL/src/RcppExports.cpp | 100 FlexRL-2.0.0/FlexRL/tests |only FlexRL-2.0.0/FlexRL/vignettes/FlexRL-RL-block-vignette.Rmd |only FlexRL-2.0.0/FlexRL/vignettes/FlexRL-RL-vignette.Rmd | 671 +++-- 36 files changed, 2916 insertions(+), 1440 deletions(-)
Title: Inference in Regressions with Shift-Share Structure
Description: Provides confidence intervals in least-squares regressions when the
variable of interest has a shift-share structure, and in instrumental
variables regressions when the instrument has a shift-share structure. The
confidence intervals implement the AKM and AKM0 methods developed in Adão,
Kolesár, and Morales (2019) <doi:10.1093/qje/qjz025>.
Author: Michal Kolesar [aut, cre] ,
Eduardo Morales [ctb],
Rodrigo Adao [ctb]
Maintainer: Michal Kolesar <kolesarmi@googlemail.com>
Diff between ShiftShareSE versions 1.1.0 dated 2022-04-23 and 1.1.1 dated 2026-11-08
DESCRIPTION | 11 +++-- MD5 | 32 ++++++++-------- NEWS.md | 13 ++++++ R/iv.R | 35 ++++++++++------- R/ols.R | 49 ++++++++++++++---------- build/partial.rdb |binary build/vignette.rds |binary inst/WORDLIST | 8 +++- inst/doc/ShiftShareSE.R | 18 +++++---- inst/doc/ShiftShareSE.Rmd | 18 +++++---- inst/doc/ShiftShareSE.pdf |binary man/ivreg_ss.fit.Rd | 7 +++ man/reg_ss.fit.Rd | 7 +++ tests/spelling.R | 6 +-- tests/testthat/test_adh.R | 26 ++++++------- tests/testthat/test_se.R | 90 ++++++++++++++++++++++++--------------------- vignettes/ShiftShareSE.Rmd | 18 +++++---- 17 files changed, 199 insertions(+), 139 deletions(-)
Title: Multiblock Sparse Multivariable Analysis
Description: Several functions can be used to analyze multiblock multivariable data. If the input is a single matrix, then principal components analysis (PCA) is implemented. If the input is a list of matrices, then multiblock PCA is implemented. If the input is two matrices, for exploratory and objective variables, then partial least squares (PLS) analysis is implemented. If the input is two lists of matrices, for exploratory and objective variables, then multiblock PLS analysis is implemented. Additionally, if an extra outcome variable is specified, then a supervised version of the methods above is implemented. For each method, sparse modeling is also incorporated. Functions for selecting the number of components and regularized parameters are also provided. Version 4.0 adds opt-in supervised sparse soft-structured principal component analysis, reconstruction, and repeated split reconstruction-based parameter selection while preserving the default Version 3.2 computational paths.
Author: Atsushi Kawaguchi [aut, cre]
Maintainer: Atsushi Kawaguchi <kawa_a24@yahoo.co.jp>
Diff between msma versions 5.0 dated 2026-11-06 and 5.1 dated 2026-11-08
DESCRIPTION | 6 +- MD5 | 18 +++---- NEWS | 12 +++++ inst/doc/msma-ecmsma.html | 6 +- inst/doc/msma-introduction.html | 6 +- inst/doc/msma-model-selection.html | 6 +- inst/doc/msma-multiblock.html | 6 +- inst/doc/msma-soft-structured.html | 2 tests/testthat/test-v5-prediction-baseline.R | 61 ++++++++++++++++++++------- tests/testthat/test-v5-prediction-fitted.R | 13 +++-- 10 files changed, 93 insertions(+), 43 deletions(-)
Title: Linear Predictive Models Based on the LIBLINEAR C/C++ Library
Description: A wrapper around the LIBLINEAR C/C++ library for machine
learning (available at
<https://www.csie.ntu.edu.tw/~cjlin/liblinear/>). LIBLINEAR is
a simple library for solving large-scale regularized linear
classification and regression. It currently supports
L2-regularized classification (such as logistic regression,
L2-loss linear SVM and L1-loss linear SVM) as well as
L1-regularized classification (such as L2-loss linear SVM and
logistic regression), L2-regularized support vector
regression (with L1- or L2-loss), and one-class support vector
machines for outlier/novelty detection. The main features of
LiblineaR include multi-class classification (one-vs-the rest,
and Crammer & Singer method), cross validation for model
selection, probability estimates (logistic regression only) or
weights for unbalanced data. The estimation of the models is
particularly fast as compared to other libraries.
Author: Thibault Helleputte [cre, aut, cph],
Jerome Paul [aut] ,
Pierre Gramme [aut] ,
Chih-Jen Lin [cph] ; see LICENSE.note)
Maintainer: Thibault Helleputte <thibault.helleputte@dnalytics.com>
Diff between LiblineaR versions 2.10-26 dated 2026-09-24 and 2.50-1 dated 2026-11-08
LiblineaR-2.10-26/LiblineaR/src/tron.cpp |only LiblineaR-2.10-26/LiblineaR/src/tron.h |only LiblineaR-2.50-1/LiblineaR/DESCRIPTION | 27 LiblineaR-2.50-1/LiblineaR/LICENSE.note | 2 LiblineaR-2.50-1/LiblineaR/MD5 | 82 LiblineaR-2.50-1/LiblineaR/NEWS | 8 LiblineaR-2.50-1/LiblineaR/R/LiblineaR.R | 132 LiblineaR-2.50-1/LiblineaR/R/predict.R | 55 LiblineaR-2.50-1/LiblineaR/README | 17 LiblineaR-2.50-1/LiblineaR/build/vignette.rds |binary LiblineaR-2.50-1/LiblineaR/inst/doc/LiblineaR-intro.R | 5 LiblineaR-2.50-1/LiblineaR/inst/doc/LiblineaR-intro.Rmd | 27 LiblineaR-2.50-1/LiblineaR/inst/doc/LiblineaR-intro.html | 119 LiblineaR-2.50-1/LiblineaR/inst/doc/LiblineaR-validation-benchmark.R |only LiblineaR-2.50-1/LiblineaR/inst/doc/LiblineaR-validation-benchmark.Rmd |only LiblineaR-2.50-1/LiblineaR/inst/doc/LiblineaR-validation-benchmark.html |only LiblineaR-2.50-1/LiblineaR/man/LiblineaR.Rd | 50 LiblineaR-2.50-1/LiblineaR/man/predict.LiblineaR.Rd | 17 LiblineaR-2.50-1/LiblineaR/src/init.c | 8 LiblineaR-2.50-1/LiblineaR/src/linear.cpp | 1656 +++++++--- LiblineaR-2.50-1/LiblineaR/src/linear.h | 23 LiblineaR-2.50-1/LiblineaR/src/newton.cpp |only LiblineaR-2.50-1/LiblineaR/src/newton.h |only LiblineaR-2.50-1/LiblineaR/src/trainLinear.c | 102 LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-reference-coefficients.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-classification.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-classweight-epsilon-bias.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-cv-findc.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-degenerate.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-dual-cap-stress.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-newton-stress.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-predict.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-sparse-formats.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-svr-paramgrid.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/generate-vendor-golden-type11-epsilon.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/reference-coefficients.rds |binary LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-classification.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-classweight-epsilon-bias.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-cv-findc.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-degenerate.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-dual-cap-stress.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-newton-stress.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-predict.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-sparse-formats.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-svr-paramgrid.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/fixtures/vendor-golden-type11-epsilon.rds |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-p0-fixes.R | 6 LiblineaR-2.50-1/LiblineaR/tests/testthat/test-train-types-classification.R | 18 LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-classification.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-classweight-epsilon-bias.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-cv-findc.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-degenerate.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-dual-cap-stress.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-findc-svr.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-newton-stress.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-oneclass-svm.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-predict.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-regularize-bias.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-sparse-formats.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-svr-paramgrid.R |only LiblineaR-2.50-1/LiblineaR/tests/testthat/test-vendor-golden-type11-epsilon.R |only LiblineaR-2.50-1/LiblineaR/vignettes/LiblineaR-intro.Rmd | 27 LiblineaR-2.50-1/LiblineaR/vignettes/LiblineaR-validation-benchmark.Rmd |only 63 files changed, 1746 insertions(+), 635 deletions(-)
Title: Grammar of Graphics and Plot Helpers for Time Series
Visualization
Description: Extends the capabilities of 'ggplot2' by providing grammatical
elements and plot helpers designed for visualizing temporal patterns. The
package implements a grammar of temporal graphics, which leverages calendar
structures to highlight changes over time. The package also provides plot
helper functions to quickly produce commonly used time series graphics,
including time plots, season plots, and seasonal sub-series plots.
Author: Mitchell O'Hara-Wild [aut, cre] ,
Cynthia A. Huang [aut] ,
Matthew Kay [aut] ,
Rob Hyndman [aut] ,
Earo Wang [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Diff between ggtime versions 1.1.0 dated 2026-10-12 and 1.1.1 dated 2026-11-08
ggtime-1.1.0/ggtime/tests/testthat/helper-mixtime.R |only ggtime-1.1.1/ggtime/DESCRIPTION | 8 ggtime-1.1.1/ggtime/MD5 | 59 +-- ggtime-1.1.1/ggtime/NEWS.md | 29 + ggtime-1.1.1/ggtime/R/coord-calendar.R | 2 ggtime-1.1.1/ggtime/R/coord-loop.R | 119 +++++++ ggtime-1.1.1/ggtime/R/geom-candlestick.R | 2 ggtime-1.1.1/ggtime/R/plot-helpers.R | 112 +++++- ggtime-1.1.1/ggtime/R/plot-mixtime.R | 22 - ggtime-1.1.1/ggtime/R/scale-time.R | 213 +++++++++++-- ggtime-1.1.1/ggtime/R/transform.R | 23 - ggtime-1.1.1/ggtime/README.md | 2 ggtime-1.1.1/ggtime/man/coord_calendar.Rd | 3 ggtime-1.1.1/ggtime/man/coord_loop.Rd | 3 ggtime-1.1.1/ggtime/man/geom_candlestick.Rd | 3 ggtime-1.1.1/ggtime/man/gg_lag.Rd | 2 ggtime-1.1.1/ggtime/man/gg_season.Rd | 2 ggtime-1.1.1/ggtime/man/gg_subseries.Rd | 2 ggtime-1.1.1/ggtime/man/gg_tsdisplay.Rd | 2 ggtime-1.1.1/ggtime/man/gg_tsresiduals.Rd | 2 ggtime-1.1.1/ggtime/man/scale_mixtime.Rd | 7 ggtime-1.1.1/ggtime/man/transform_warp.Rd | 3 ggtime-1.1.1/ggtime/tests/testthat/Rplots.pdf |binary ggtime-1.1.1/ggtime/tests/testthat/test-coord-calendar.R | 17 - ggtime-1.1.1/ggtime/tests/testthat/test-coord-loop.R | 11 ggtime-1.1.1/ggtime/tests/testthat/test-geom-candlestick.R | 17 - ggtime-1.1.1/ggtime/tests/testthat/test-geom-time-line.R | 1 ggtime-1.1.1/ggtime/tests/testthat/test-gg-lag.R | 4 ggtime-1.1.1/ggtime/tests/testthat/test-gg-subseries.R | 19 - ggtime-1.1.1/ggtime/tests/testthat/test-plot-helpers.R | 23 - ggtime-1.1.1/ggtime/tests/testthat/test-scale-time.R | 79 +++- 31 files changed, 600 insertions(+), 191 deletions(-)
Title: Honest Inference in Regression Discontinuity Designs
Description: Honest and nearly-optimal confidence intervals in fuzzy and sharp
regression discontinuity designs and for inference at a point based on local
linear regression. The implementation is based on Armstrong and Kolesár (2018)
<doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018)
<doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.
Author: Michal Kolesar [aut, cre, cph] ,
Tim Armstrong [ctb]
Maintainer: Michal Kolesar <kolesarmi@googlemail.com>
Diff between RDHonest versions 1.0.2 dated 2026-09-15 and 1.0.3 dated 2026-11-08
DESCRIPTION | 6 +- MD5 | 15 +++--- NEWS.md | 11 ++++- inst/WORDLIST | 1 inst/doc/RDHonest.pdf |binary tests/testthat/helper-tolerance.R |only tests/testthat/test_clustering.R | 48 ++++++++++++++------- tests/testthat/test_covariates.R | 83 ++++++++++++++++++++++++++------------ tests/testthat/test_lpp.R | 9 ++-- 9 files changed, 116 insertions(+), 57 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2026-08-25 0.9.0
2026-02-19 0.8.0
2025-12-21 0.6.0
2025-10-19 0.2.2
2025-10-17 0.2.1
2025-10-16 0.2.0