Title: Regression Models with Break-Points / Change-Points Estimation
(with Possibly Random Effects)
Description: Fitting regression models where, in addition to possible linear terms, one or more covariates have segmented (i.e., broken-line or piece-wise linear) or stepmented (i.e. piece-wise constant) effects. Multiple breakpoints for the same variable are allowed.
The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and
illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented
in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>).
Segmented mixed models, i.e. random effects in the change point, are discussed in Muggeo (2014, <doi:10.1177/1471082X13504721>).
Estimation of piecewise-constant relationships and changepoints (mean-shift models) is
discussed in Fasola et al. (2018, <doi:10.1007/s00180-017-0740-4>).
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>
Diff between segmented versions 2.1-4 dated 2025-02-28 and 2.2-0 dated 2026-01-15
DESCRIPTION | 11 +-- MD5 | 29 ++++--- NAMESPACE | 4 - NEWS | 8 ++ R/plot.segmented.lme.r | 39 +++++----- R/seg.r | 1 R/segmented.lme.r | 25 +++++- R/segreg.r | 35 ++++++--- R/selgmented.R | 4 - R/stelpmented.R |only R/stepreg.r | 167 +++++++++++++++++++++++++++++++++------------- man/plot.segmented.lme.Rd | 5 + man/segmented-package.Rd | 4 - man/segmented.lme.Rd | 17 ++-- man/segreg.Rd | 14 ++- man/selgmented.Rd | 52 +++++++++++--- 16 files changed, 286 insertions(+), 129 deletions(-)
Title: Build Common Tables of Summary Statistics for Reports
Description: Mainly used to build tables that are commonly presented for
bio-medical/health research, such as basic characteristic tables or
descriptive statistics.
Author: Luke Johnston [aut, cre]
Maintainer: Luke Johnston <lwjohnst@gmail.com>
Diff between carpenter versions 0.2.2 dated 2019-02-05 and 0.2.3 dated 2026-01-15
DESCRIPTION | 20 +- MD5 | 45 ++-- NAMESPACE | 1 NEWS.md | 35 ++- R/add_rows.R | 70 ++++--- R/build_table.R | 258 +++++++++++++------------ R/carpenter-package.R | 4 R/outline_table.R | 32 +-- R/renaming.R | 41 ++-- R/stats.R | 58 ++--- R/stock_table.R | 8 R/utils.R | 66 +++--- README.md | 51 ++--- build/vignette.rds |binary inst/WORDLIST |only inst/doc/carpenter.R | 32 +-- inst/doc/carpenter.Rmd | 10 - inst/doc/carpenter.html | 370 +++++++++++++++++++++++-------------- man/build_table.Rd | 11 - man/renaming.Rd | 2 tests/testthat/test-build_tables.R | 137 +++++++++---- tests/testthat/test-outline.R | 42 ++-- tests/testthat/test-stats.R | 14 - vignettes/carpenter.Rmd | 10 - 24 files changed, 759 insertions(+), 558 deletions(-)
Title: Geocoding with the 'ArcGIS' REST API Service
Description: Lite interface for finding locations of addresses or
businesses around the world using the 'ArcGIS' REST API service
<https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>.
Address text can be converted to location candidates and a location
can be converted into an address. No API key required.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>
Diff between arcgeocoder versions 0.2.1 dated 2024-12-17 and 0.3.0 dated 2026-01-15
arcgeocoder-0.2.1/arcgeocoder/inst/doc/featuretypes.Rmd |only arcgeocoder-0.2.1/arcgeocoder/inst/doc/featuretypes.html |only arcgeocoder-0.2.1/arcgeocoder/man/arc_api_call.Rd |only arcgeocoder-0.2.1/arcgeocoder/vignettes/featuretypes.Rmd |only arcgeocoder-0.3.0/arcgeocoder/DESCRIPTION | 14 arcgeocoder-0.3.0/arcgeocoder/MD5 | 77 - arcgeocoder-0.3.0/arcgeocoder/NEWS.md | 16 arcgeocoder-0.3.0/arcgeocoder/R/arc_geo.R | 75 - arcgeocoder-0.3.0/arcgeocoder/R/arc_geo_categories.R | 85 - arcgeocoder-0.3.0/arcgeocoder/R/arc_geo_multi.R | 107 + arcgeocoder-0.3.0/arcgeocoder/R/arc_reverse_geo.R | 556 +++++----- arcgeocoder-0.3.0/arcgeocoder/R/arcgeocoder_check_access.R | 12 arcgeocoder-0.3.0/arcgeocoder/R/data.R | 347 +++--- arcgeocoder-0.3.0/arcgeocoder/R/utils.R | 324 +++-- arcgeocoder-0.3.0/arcgeocoder/README.md | 52 arcgeocoder-0.3.0/arcgeocoder/build/vignette.rds |binary arcgeocoder-0.3.0/arcgeocoder/data/arc_categories.rda |binary arcgeocoder-0.3.0/arcgeocoder/data/arc_spatial_references.rda |binary arcgeocoder-0.3.0/arcgeocoder/inst/WORDLIST | 14 arcgeocoder-0.3.0/arcgeocoder/inst/doc/arcgeocoder.Rmd | 42 arcgeocoder-0.3.0/arcgeocoder/inst/doc/arcgeocoder.html | 92 - arcgeocoder-0.3.0/arcgeocoder/inst/doc/feature-types.Rmd |only arcgeocoder-0.3.0/arcgeocoder/inst/doc/feature-types.html |only arcgeocoder-0.3.0/arcgeocoder/inst/schemaorg.json | 4 arcgeocoder-0.3.0/arcgeocoder/man/arc_categories.Rd | 14 arcgeocoder-0.3.0/arcgeocoder/man/arc_geo.Rd | 24 arcgeocoder-0.3.0/arcgeocoder/man/arc_geo_categories.Rd | 405 +++---- arcgeocoder-0.3.0/arcgeocoder/man/arc_geo_multi.Rd | 40 arcgeocoder-0.3.0/arcgeocoder/man/arc_reverse_geo.Rd | 34 arcgeocoder-0.3.0/arcgeocoder/man/arc_spatial_references.Rd | 23 arcgeocoder-0.3.0/arcgeocoder/man/arcgeocoder_check_access.Rd | 4 arcgeocoder-0.3.0/arcgeocoder/man/chunks/out1.Rmd | 16 arcgeocoder-0.3.0/arcgeocoder/man/figures/README-eiffel-1.png |binary arcgeocoder-0.3.0/arcgeocoder/man/figures/README-eiffel_sf-1.png |binary arcgeocoder-0.3.0/arcgeocoder/man/figures/logo.png |binary arcgeocoder-0.3.0/arcgeocoder/tests/testthat/_snaps/arc_geo_categories.md | 6 arcgeocoder-0.3.0/arcgeocoder/tests/testthat/test-arc_geo.R | 65 - arcgeocoder-0.3.0/arcgeocoder/tests/testthat/test-arc_geo_categories.R | 368 +++--- arcgeocoder-0.3.0/arcgeocoder/tests/testthat/test-arc_geo_multi.R | 131 +- arcgeocoder-0.3.0/arcgeocoder/tests/testthat/test-arc_reverse_geo.R | 39 arcgeocoder-0.3.0/arcgeocoder/vignettes/arcgeocoder.Rmd | 42 arcgeocoder-0.3.0/arcgeocoder/vignettes/eiffel-1.png |binary arcgeocoder-0.3.0/arcgeocoder/vignettes/feature-types.Rmd |only 43 files changed, 1586 insertions(+), 1442 deletions(-)
Title: Tools to Read and Convert Wearables Data
Description: Package to read Empatica E4, Embrace Plus, and Nowatch data, perform several
transformations, perform signal processing and analyses, including
batch analyses.
Author: Peter de Looff [aut, cre],
Remko Duursma [aut],
Saskia Koldijk [aut],
Kees de Schepper [aut],
Matthijs Noordzij [ctb],
Natasha Jaques [ctb],
Sara Taylor [ctb],
Veerle van Leemput [ctb]
Maintainer: Peter de Looff <peterdelooff@gmail.com>
Diff between wearables versions 0.8.1 dated 2021-12-20 and 0.11.3 dated 2026-01-15
wearables-0.11.3/wearables/DESCRIPTION | 48 wearables-0.11.3/wearables/MD5 | 90 + wearables-0.11.3/wearables/NAMESPACE | 22 wearables-0.11.3/wearables/NEWS.md | 56 + wearables-0.11.3/wearables/R/aggregate_data.R |only wearables-0.11.3/wearables/R/artifact_detection.R | 485 +++++----- wearables-0.11.3/wearables/R/as_timeseries.R | 3 wearables-0.11.3/wearables/R/batch_analysis.R | 28 wearables-0.11.3/wearables/R/cut_e4_data_intervals.R | 205 ++-- wearables-0.11.3/wearables/R/e4_data.R |only wearables-0.11.3/wearables/R/e4_methods.R | 11 wearables-0.11.3/wearables/R/embrace_peak_detection.R |only wearables-0.11.3/wearables/R/filter_e4data_datetime.R | 92 + wearables-0.11.3/wearables/R/globals.R |only wearables-0.11.3/wearables/R/ibi_analysis.R | 106 +- wearables-0.11.3/wearables/R/ibi_analysis_old.R |only wearables-0.11.3/wearables/R/ibi_analysis_rmssd_time_period.R | 32 wearables-0.11.3/wearables/R/load_files.R | 30 wearables-0.11.3/wearables/R/peak_detection.R | 262 ++--- wearables-0.11.3/wearables/R/rbind_data.R |only wearables-0.11.3/wearables/R/read_and_process_e4.R |only wearables-0.11.3/wearables/R/read_and_process_embrace_plus.R |only wearables-0.11.3/wearables/R/read_e4.R | 106 +- wearables-0.11.3/wearables/R/read_embrace_plus.R |only wearables-0.11.3/wearables/R/read_nowatch.R |only wearables-0.11.3/wearables/R/utils-logging.R |only wearables-0.11.3/wearables/R/utils.R | 111 +- wearables-0.11.3/wearables/README.md | 65 + wearables-0.11.3/wearables/data/e4_data.rda |only wearables-0.11.3/wearables/inst |only wearables-0.11.3/wearables/man/aggregate_data.Rd |only wearables-0.11.3/wearables/man/binary_classifier_config.Rd | 5 wearables-0.11.3/wearables/man/compute_features2.Rd | 30 wearables-0.11.3/wearables/man/create_e4_output_folder.Rd | 2 wearables-0.11.3/wearables/man/create_empty_freq_list.Rd |only wearables-0.11.3/wearables/man/create_empty_time_list.Rd |only wearables-0.11.3/wearables/man/e4_data.Rd |only wearables-0.11.3/wearables/man/e4_filecut_intervals.Rd | 10 wearables-0.11.3/wearables/man/filter_createdir_zip.Rd | 8 wearables-0.11.3/wearables/man/filter_datetime.Rd |only wearables-0.11.3/wearables/man/find_peaks.Rd | 4 wearables-0.11.3/wearables/man/get_apex.Rd | 2 wearables-0.11.3/wearables/man/ibi_analysis.Rd | 43 wearables-0.11.3/wearables/man/ibi_analysis_old.Rd |only wearables-0.11.3/wearables/man/join_eda_bin.Rd |only wearables-0.11.3/wearables/man/multiclass_classifier_config.Rd | 5 wearables-0.11.3/wearables/man/rbind_data.Rd |only wearables-0.11.3/wearables/man/rbind_e4.Rd | 7 wearables-0.11.3/wearables/man/rbind_embrace_plus.Rd |only wearables-0.11.3/wearables/man/rbind_nowatch.Rd |only wearables-0.11.3/wearables/man/read_and_process_e4.Rd | 8 wearables-0.11.3/wearables/man/read_and_process_embrace_plus.Rd |only wearables-0.11.3/wearables/man/read_e4.Rd | 10 wearables-0.11.3/wearables/man/read_embrace_plus.Rd |only wearables-0.11.3/wearables/man/read_nowatch.Rd |only wearables-0.11.3/wearables/man/write_processed_e4.Rd | 2 wearables-0.8.1/wearables/R/aggregate_e4_data.R |only wearables-0.8.1/wearables/R/rbind_e4.R |only wearables-0.8.1/wearables/R/read_and_proces_e4.R |only wearables-0.8.1/wearables/man/aggregate_e4_data.Rd |only wearables-0.8.1/wearables/man/filter_e4data_datetime.Rd |only 61 files changed, 1169 insertions(+), 719 deletions(-)
Title: Cryptographic Hash, Extendable-Output and Binary Encoding
Functions
Description: Fast and memory-efficient streaming hash functions, binary
encoding and serialization. Hashes strings and raw vectors directly.
Stream hashes files which can be larger than memory, as well as
in-memory objects through R's serialization mechanism. Implements the
SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256
extendable-output function (XOF), 'SipHash' pseudo-random function,
base64 and base58 encoding, and 'CBOR' serialization.
Author: Charlie Gao [aut, cre] ,
Posit Software, PBC [cph, fnd] ,
Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>
Diff between secretbase versions 1.1.0 dated 2026-01-08 and 1.1.1 dated 2026-01-15
DESCRIPTION | 6 - MD5 | 20 +-- NEWS.md | 4 R/base.R | 12 +- README.md | 3 man/cbordec.Rd | 3 man/cborenc.Rd | 9 + src/base.c | 6 - src/base2.c | 12 -- src/base3.c | 289 +++++++++++++++++++++++++-------------------------------- tests/tests.R | 4 11 files changed, 175 insertions(+), 193 deletions(-)
Title: Exact Variable-Subset Selection in Linear Regression
Description: Exact and approximation algorithms for variable-subset
selection in ordinary linear regression models. Either compute all
submodels with the lowest residual sum of squares, or determine the
single-best submodel according to a pre-determined statistical
criterion. Hofmann et al. (2020) <doi:10.18637/jss.v093.i03>.
Author: Marc Hofmann [aut, cre],
Cristian Gatu [aut],
Erricos J. Kontoghiorghes [aut],
Ana Colubi [aut],
Achim Zeileis [aut] ,
Martin Moene [cph] ,
Microsoft Corporation [cph]
Maintainer: Marc Hofmann <marc.hofmann@gmail.com>
Diff between lmSubsets versions 0.5-3 dated 2026-01-12 and 0.5-4 dated 2026-01-15
DESCRIPTION | 6 ++--- MD5 | 28 ++++++++++++------------- inst/doc/lmSubsets.Rnw | 52 ++++++++++++++++++++++-------------------------- inst/doc/lmSubsets.pdf |binary vignettes/bm-01.R | 22 ++++++++++---------- vignettes/bm-01.RData |binary vignettes/bm-02.R | 20 +++++++++--------- vignettes/bm-02.RData |binary vignettes/bm-03.R | 20 +++++++++--------- vignettes/bm-03.RData |binary vignettes/bm-04.R | 20 +++++++++--------- vignettes/bm-04.RData |binary vignettes/bm-05.R | 20 +++++++++--------- vignettes/bm-05.RData |binary vignettes/lmSubsets.Rnw | 52 ++++++++++++++++++++++-------------------------- 15 files changed, 116 insertions(+), 124 deletions(-)
Title: Parameter Space Partitioning MCMC for Global Model Evaluation
Description: Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006) <doi:10.1037/0033-295X.113.1.57>.
Author: Lenard Dome [aut, cre],
Andy Wills [aut]
Maintainer: Lenard Dome <lenarddome@gmail.com>
Diff between psp versions 1.0.2 dated 2024-07-24 and 1.0.5 dated 2026-01-15
DESCRIPTION | 10 - MD5 | 17 +-- build/partial.rdb |binary man/psp.Rd | 2 man/pspGlobal.Rd | 2 man/psp_global.Rd | 2 src/Makevars |only src/pspGlobal.cpp | 224 ++++++++++++++++++++++++++---------------- tests/testthat/test_psp_R.R | 35 +++--- tests/testthat/test_psp_cpp.R | 89 ++++++++-------- 10 files changed, 218 insertions(+), 163 deletions(-)
Title: Create Muller Plots of Evolutionary Dynamics
Description: Create plots that combine a phylogeny and frequency dynamics.
Phylogenetic input can be a generic adjacency matrix or a tree of class "phylo".
Inspired by similar plots in publications of the labs of RE Lenski and JE
Barrick. Named for HJ Muller (who popularised such plots) and H Wickham (whose
code this package exploits).
Author: Robert Noble [aut, cre]
Maintainer: Robert Noble <robjohnnoble@gmail.com>
Diff between ggmuller versions 0.5.6 dated 2023-02-12 and 0.7.0 dated 2026-01-15
DESCRIPTION | 14 +- MD5 | 23 ++- NAMESPACE | 4 R/MullerPlot.R | 255 +++++++++++++++++++++++++++++---------- R/SupplementaryFunctions.R | 17 +- README.md | 12 + build/vignette.rds |binary inst/doc/ggmuller.Rmd | 2 inst/doc/ggmuller.html | 287 +++++++++++++++++++++------------------------ man/add_root_row.Rd |only man/get_Adj.Rd |only man/path_vector_new.Rd |only man/reorder_by_vector.Rd | 4 vignettes/ggmuller.Rmd | 2 14 files changed, 371 insertions(+), 249 deletions(-)
Title: Chat and FIM with 'Codestral'
Description: Create an addin in 'Rstudio' to do fill-in-the-middle (FIM) and chat with latest Mistral AI models for coding, 'Codestral' and 'Codestral Mamba'. For more details about 'Mistral AI API': <https://docs.mistral.ai/getting-started/quickstart/> and <https://docs.mistral.ai/api/>. For more details about 'Codestral' model: <https://mistral.ai/news/codestral>; about 'Codestral Mamba': <https://mistral.ai/news/codestral-mamba>.
Author: Marc Grossouvre [aut, cre],
URBS company [cph, fnd]
Maintainer: Marc Grossouvre <marcgrossouvre@urbs.fr>
Diff between codestral versions 0.0.1 dated 2025-05-09 and 0.0.2 dated 2026-01-15
codestral-0.0.1/codestral/README.md |only codestral-0.0.2/codestral/DESCRIPTION | 15 - codestral-0.0.2/codestral/LICENSE | 2 codestral-0.0.2/codestral/MD5 | 40 +++- codestral-0.0.2/codestral/NAMESPACE | 4 codestral-0.0.2/codestral/R/ALLMARKERS.R |only codestral-0.0.2/codestral/R/allow_detect_package.R |only codestral-0.0.2/codestral/R/codestral.R | 45 +++-- codestral-0.0.2/codestral/R/codestral_init.R | 20 ++ codestral-0.0.2/codestral/R/compile_dialog.R | 82 +++++----- codestral-0.0.2/codestral/R/complete_current_script.R | 24 +- codestral-0.0.2/codestral/R/debug_mode.R |only codestral-0.0.2/codestral/R/detect_package.R |only codestral-0.0.2/codestral/R/include_package_files.R |only codestral-0.0.2/codestral/R/inventory_Rfiles.R |only codestral-0.0.2/codestral/build |only codestral-0.0.2/codestral/data/ALLMARKERS.rda |only codestral-0.0.2/codestral/data/ENDPOINTS.rda |binary codestral-0.0.2/codestral/inst/doc |only codestral-0.0.2/codestral/man/ALLMARKERS.Rd |only codestral-0.0.2/codestral/man/allow_detect_package.Rd |only codestral-0.0.2/codestral/man/codestral.Rd | 13 - codestral-0.0.2/codestral/man/codestral_init.Rd | 18 ++ codestral-0.0.2/codestral/man/debug_mode.Rd |only codestral-0.0.2/codestral/man/detect_package.Rd |only codestral-0.0.2/codestral/man/include_package_files.Rd |only codestral-0.0.2/codestral/man/inventory_Rfiles.Rd |only codestral-0.0.2/codestral/tests/testthat/test-allow_detect_package.R |only codestral-0.0.2/codestral/vignettes |only 29 files changed, 172 insertions(+), 91 deletions(-)
Title: Adherence to Medications
Description: Interactive graphical user interface (GUI) for the package
'AdhereR', allowing the user to access different data sources, to explore
the patterns of medication use therein, and the computation of various
measures of adherence. It is implemented using Shiny and HTML/CSS/JavaScript.
Author: Dan Dediu [aut, cre],
Alexandra L. Dima [aut],
Samuel Allemann [aut]
Maintainer: Dan Dediu <ddediu@gmail.com>
Diff between AdhereRViz versions 0.2.1 dated 2022-06-24 and 0.2.2 dated 2026-01-15
AdhereRViz-0.2.1/AdhereRViz/inst/interactivePlotShiny/rsconnect |only AdhereRViz-0.2.2/AdhereRViz/DESCRIPTION | 12 AdhereRViz-0.2.2/AdhereRViz/MD5 | 23 AdhereRViz-0.2.2/AdhereRViz/R/adhererviz.R | 20 AdhereRViz-0.2.2/AdhereRViz/build/vignette.rds |binary AdhereRViz-0.2.2/AdhereRViz/inst/CITATION | 10 AdhereRViz-0.2.2/AdhereRViz/inst/doc/adherer_interctive_plots.R | 252 +-- AdhereRViz-0.2.2/AdhereRViz/inst/doc/adherer_interctive_plots.Rmd | 6 AdhereRViz-0.2.2/AdhereRViz/inst/doc/adherer_interctive_plots.html | 734 +++++----- AdhereRViz-0.2.2/AdhereRViz/inst/interactivePlotShiny/app.R | 3 AdhereRViz-0.2.2/AdhereRViz/man/plot_interactive_cma.Rd | 17 AdhereRViz-0.2.2/AdhereRViz/vignettes/adherer_interctive_plots.Rmd | 6 12 files changed, 547 insertions(+), 536 deletions(-)
Title: Visualize Simple 2-D Decision Tree Partitions
Description: Visualize the partitions of simple decision trees, involving one or
two predictors, on the scale of the original data. Provides an intuitive
alternative to traditional tree diagrams, by visualizing how a decision tree
divides the predictor space in a simple 2D plot alongside the original data.
The 'parttree' package supports both classification and regression trees
from 'rpart' and 'partykit', as well as trees produced by popular frontend
systems like 'tidymodels' and 'mlr3'. Visualization methods are provided for
both base R graphics and 'ggplot2'.
Author: Grant McDermott [aut, cre] ,
Achim Zeileis [ctb] ,
Brian Heseung Kim [ctb] ,
Julia Silge [ctb]
Maintainer: Grant McDermott <gmcd@amazon.com>
Diff between parttree versions 0.1.1 dated 2025-05-10 and 0.1.2 dated 2026-01-15
DESCRIPTION | 10 ++-- MD5 | 20 +++++---- NEWS.md | 9 +++- build/vignette.rds |binary inst/doc/parttree-art.R | 11 ++--- inst/doc/parttree-art.Rmd | 33 ++++++---------- inst/doc/parttree-art.html | 87 +++++++++++++++++++------------------------ inst/doc/parttree-intro.html | 25 ++++++------ inst/extdata |only man/geom_parttree.Rd | 8 ++- vignettes/parttree-art.Rmd | 33 ++++++---------- 11 files changed, 115 insertions(+), 121 deletions(-)
Title: Create Common Tables and Listings Used in Clinical Trials
Description: Structure and formatting requirements for clinical trial table and listing outputs
vary between pharmaceutical companies. 'junco' provides additional tooling for use alongside
the 'rtables', 'rlistings' and 'tern' packages when creating table and listing outputs. While
motivated by the specifics of Johnson and Johnson Clinical and Statistical Programming's
table and listing shells, 'junco' provides functionality that is general and reusable.
Major features include a) alternative and extended statistical analyses beyond what 'tern'
supports for use in standard safety and efficacy tables, b) a robust production-grade
Rich Text Format (RTF) exporter for both tables and listings, c) structural support
for spanning column headers and risk difference columns in tables, and d) robust
font-aware automatic column width algorithms for both listings and tables.
Author: Gabriel Becker [cre, aut] ,
Ilse Augustyns [aut],
Paul Jenkins [aut],
Daniel Hofstaedter [aut],
Joseph Kovach [aut],
David Munoz Tord [aut],
Daniel Sabanes Bove [aut],
Ezequiel Anokian [ctb],
Renfei Mao [ctb],
Mrinal Das [ctb],
Wojciech Wojciak [ctb] [...truncated...]
Maintainer: Gabriel Becker <gabembecker@gmail.com>
Diff between junco versions 0.1.2 dated 2025-12-20 and 0.1.3 dated 2026-01-15
DESCRIPTION | 8 - MD5 | 23 +-- NEWS.md | 37 ----- R/a_summarize_aval_chg_diff.R | 2 R/split_functions.R | 21 +- README.md | 27 +++ inst/WORDLIST | 4 inst/doc/junco.Rmd | 3 inst/doc/junco.html | 3 inst/doc/table_and_listing_customizations.html | 46 +++--- tests/testthat/_snaps/a_summarize_aval_chg_diff.md |only tests/testthat/test-a_summarize_aval_chg_diff.R | 152 +++++++++++++++++++++ vignettes/junco.Rmd | 3 13 files changed, 239 insertions(+), 90 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-09-30 0.1-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-05-14 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-04-28 1.0.1
2023-08-17 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-10-29 1.0.2
2025-04-12 1.0.1
2024-09-13 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-10-22 0.1.1
2025-07-07 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-03-22 0.2.1
2025-01-31 0.2.0
2025-01-30 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-11-19 1.0.1
2016-07-23 1.0.0
2012-10-04 0.9
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-10-17 1.0.10
2015-10-10 1.0.9
2015-01-22 1.0.8
2014-12-03 1.0.7
2014-12-02 1.0.6
2014-10-17 1.0.5
2014-08-07 1.0.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-03-12 0.1.1
2023-02-12 0.1.0.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-27 1.1.0
2021-10-04 1.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-12-18 2.3.1
2020-10-20 2.2.0
2020-02-21 2.1.1
2020-02-14 2.1.0
2017-07-08 2.0
2016-04-19 1.0
Title: Swash-Backwash Model for the Single Epidemic Wave
Description: The Swash-Backwash Model for the Single Epidemic Wave was developed by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> to model the velocity of spread of infectious diseases across space. This package enables the calculation of the Swash-Backwash Model for user-supplied panel data on regional infections. The package provides additional functions for bootstrap confidence intervals, country comparison, visualization of results, and data management. Furthermore, it contains several functions for analysis and visualization of (spatial) infection data.
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>
Diff between swash versions 1.3.0 dated 2026-01-07 and 1.3.1 dated 2026-01-15
DESCRIPTION | 8 ++++---- MD5 | 22 +++++++++++----------- R/swash.R | 24 +++++++++++++++++++++--- build/partial.rdb |binary data/C19dNUTSdata.rda |binary data/COVID19Cases_geoRegion.rda |binary data/Infections.rda |binary data/Oesterreich_Faelle.rda |binary data/RKI_Corona_counties.rda |binary data/did_fatalities_splm_coef.rda |binary man/R_t.Rd | 2 +- man/swash-package.Rd | 4 ++-- 12 files changed, 39 insertions(+), 21 deletions(-)
Title: Models for Correlation Matrices Based on Graphs
Description: Implement some models for
correlation/covariance matrices including two approaches
to model correlation matrices from a graphical structure.
One use latent parent variables as proposed in
Sterrantino et. al. (2024) <doi:10.1007/s10260-025-00788-y>.
The other uses a graph to specify conditional
relations between the variables.
The graphical structure makes correlation matrices
interpretable and avoids the quadratic increase of
parameters as a function of the dimension.
In the first approach a natural sequence of simpler
models along with a complexity penalization is used.
The second penalizes deviations from a base model.
These can be used as prior for model parameters,
considering C code through the 'cgeneric' interface
for the 'INLA' package (<https://www.r-inla.org>).
This allows one to use these models as building
blocks combined and to other latent Gaussian models
in order to build complex data models.
Author: Elias Teixeira Krainski [cre, aut, cph] ,
Denis Rustand [aut, cph] ,
Anna Freni-Sterrantino [aut, cph] ,
Janet van Niekerk [aut, cph] ,
Haavard Rue’ [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>
Diff between graphpcor versions 0.1.12 dated 2025-04-27 and 0.1.15 dated 2026-01-15
graphpcor-0.1.12/graphpcor/R/cgeneric.R |only graphpcor-0.1.12/graphpcor/R/cgeneric_generic0.R |only graphpcor-0.1.12/graphpcor/R/cgeneric_utils.R |only graphpcor-0.1.12/graphpcor/R/kronecker.R |only graphpcor-0.1.12/graphpcor/R/param_correl.R |only graphpcor-0.1.12/graphpcor/R/param_prec.R |only graphpcor-0.1.12/graphpcor/R/rgeneric_utils.R |only graphpcor-0.1.12/graphpcor/man/cgeneric.Rd |only graphpcor-0.1.12/graphpcor/man/cgeneric_generic0.Rd |only graphpcor-0.1.12/graphpcor/man/correl.Rd |only graphpcor-0.1.12/graphpcor/man/graphpcor.Rd |only graphpcor-0.1.12/graphpcor/man/is.zero.Rd |only graphpcor-0.1.12/graphpcor/man/prec-methods.Rd |only graphpcor-0.1.12/graphpcor/man/prec.Rd |only graphpcor-0.1.12/graphpcor/man/rgeneric.Rd |only graphpcor-0.1.12/graphpcor/man/treepcor.Rd |only graphpcor-0.1.12/graphpcor/src/cgeneric_generic0.c |only graphpcor-0.1.15/graphpcor/DESCRIPTION | 35 - graphpcor-0.1.15/graphpcor/MD5 | 110 ++-- graphpcor-0.1.15/graphpcor/NAMESPACE | 50 -- graphpcor-0.1.15/graphpcor/R/Germany4.R | 6 graphpcor-0.1.15/graphpcor/R/aaa_classes.R | 43 - graphpcor-0.1.15/graphpcor/R/aaa_methods.R | 101 ---- graphpcor-0.1.15/graphpcor/R/basecor.R |only graphpcor-0.1.15/graphpcor/R/basecor_utils.R |only graphpcor-0.1.15/graphpcor/R/basepcor.R |only graphpcor-0.1.15/graphpcor/R/basepcor_utils.R |only graphpcor-0.1.15/graphpcor/R/cgeneric_LKJ.R | 149 ++---- graphpcor-0.1.15/graphpcor/R/cgeneric_Wishart.R | 32 - graphpcor-0.1.15/graphpcor/R/cgeneric_graphpcor.R | 183 +++---- graphpcor-0.1.15/graphpcor/R/cgeneric_pc_correl.R | 230 ++++++--- graphpcor-0.1.15/graphpcor/R/cgeneric_pc_prec_correl.R | 133 ++--- graphpcor-0.1.15/graphpcor/R/cgeneric_treepcor.R | 110 ++-- graphpcor-0.1.15/graphpcor/R/graphpcor.R | 336 ++++++-------- graphpcor-0.1.15/graphpcor/R/param_utils.R | 82 +-- graphpcor-0.1.15/graphpcor/R/treepcor.R | 51 -- graphpcor-0.1.15/graphpcor/build |only graphpcor-0.1.15/graphpcor/demo |only graphpcor-0.1.15/graphpcor/inst |only graphpcor-0.1.15/graphpcor/man/KLD10.Rd |only graphpcor-0.1.15/graphpcor/man/Laplacian.Rd | 8 graphpcor-0.1.15/graphpcor/man/Lprec0.Rd |only graphpcor-0.1.15/graphpcor/man/basecor-class.Rd |only graphpcor-0.1.15/graphpcor/man/basecor-utils.Rd |only graphpcor-0.1.15/graphpcor/man/basepcor-class.Rd |only graphpcor-0.1.15/graphpcor/man/cgeneric_LKJ.Rd | 89 ++- graphpcor-0.1.15/graphpcor/man/cgeneric_Wishart.Rd | 19 graphpcor-0.1.15/graphpcor/man/cgeneric_graphpcor.Rd | 39 - graphpcor-0.1.15/graphpcor/man/cgeneric_pc_correl.Rd | 96 ++-- graphpcor-0.1.15/graphpcor/man/cgeneric_pc_prec_correl.Rd | 90 +-- graphpcor-0.1.15/graphpcor/man/cgeneric_treepcor.Rd | 29 - graphpcor-0.1.15/graphpcor/man/fillLprec.Rd |only graphpcor-0.1.15/graphpcor/man/graphpcor-class.Rd | 130 ++++- graphpcor-0.1.15/graphpcor/man/hessian.graphpcor.Rd | 8 graphpcor-0.1.15/graphpcor/man/param-utils.Rd | 37 - graphpcor-0.1.15/graphpcor/man/treepcor-class.Rd | 169 ++++++- graphpcor-0.1.15/graphpcor/src/Makevars | 2 graphpcor-0.1.15/graphpcor/src/cgeneric_LKJ.c | 187 +++---- graphpcor-0.1.15/graphpcor/src/cgeneric_Wishart.c | 2 graphpcor-0.1.15/graphpcor/src/cgeneric_graphpcor.c | 164 ++---- graphpcor-0.1.15/graphpcor/src/cgeneric_pc_correl.c | 138 ++++- graphpcor-0.1.15/graphpcor/src/cgeneric_pc_prec_correl.c | 93 ++- graphpcor-0.1.15/graphpcor/src/graphpcor_init.c |only graphpcor-0.1.15/graphpcor/src/graphpcor_utils.c | 99 +++- graphpcor-0.1.15/graphpcor/src/graphpcor_utils.h | 4 graphpcor-0.1.15/graphpcor/vignettes |only 66 files changed, 1645 insertions(+), 1409 deletions(-)
Title: Conformal Prediction Methods for Multistep-Ahead Time Series
Forecasting
Description: Methods and tools for performing multistep-ahead time series
forecasting using conformal prediction methods including classical
conformal prediction, adaptive conformal prediction, conformal PID
(Proportional-Integral-Derivative) control, and autocorrelated
multistep-ahead conformal prediction.
The methods were described by Wang and Hyndman (2024) <doi:10.48550/arXiv.2410.13115>.
Author: Xiaoqian Wang [aut, cre, cph] ,
Rob Hyndman [aut]
Maintainer: Xiaoqian Wang <Xiaoqian.Wang@amss.ac.cn>
Diff between conformalForecast versions 0.1.0 dated 2025-10-06 and 0.1.1 dated 2026-01-15
conformalForecast-0.1.0/conformalForecast/man/accuracy.default.Rd |only conformalForecast-0.1.1/conformalForecast/DESCRIPTION | 8 ++--- conformalForecast-0.1.1/conformalForecast/MD5 | 14 +++++----- conformalForecast-0.1.1/conformalForecast/NAMESPACE | 3 +- conformalForecast-0.1.1/conformalForecast/NEWS.md | 4 ++ conformalForecast-0.1.1/conformalForecast/R/cvforecast.R | 2 - conformalForecast-0.1.1/conformalForecast/R/errors.R | 11 +++++-- conformalForecast-0.1.1/conformalForecast/R/scp.R | 2 - conformalForecast-0.1.1/conformalForecast/man/accuracy.cvforecast.Rd |only 9 files changed, 27 insertions(+), 17 deletions(-)
More information about conformalForecast at CRAN
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2020-11-25 1.0.0
Title: Extracting Order Position Tables from PDF-Based Order Documents
Description: Functions for extracting text and tables from
PDF-based order documents. It provides an n-gram-based approach for identifying
the language of an order document. It furthermore uses R-package 'pdftools' to
extract the text from an order document. In the case that the PDF document is
only including an image (because it is scanned document), R package 'tesseract'
is used for OCR. Furthermore, the package provides functionality for identifying
and extracting order position tables in order documents based on a clustering approach.
Author: Michael Scholz [cre, aut],
Joerg Bauer [aut]
Maintainer: Michael Scholz <michael.scholz@th-deg.de>
Diff between orderanalyzer versions 1.0.0 dated 2024-12-12 and 1.0.1 dated 2026-01-15
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- R/global.R | 3 ++- R/orderanalyzer-package.R | 2 +- man/orderanalyzer-package.Rd | 2 +- 5 files changed, 13 insertions(+), 12 deletions(-)
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2022-10-11 0.2.0
2022-10-11 0.2.1
2022-03-21 0.1.0
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2021-07-25 0.2.9
2021-03-21 0.2.8
2020-06-16 0.2.6
2019-12-06 0.2.5
2019-12-04 0.2.4
2019-09-25 0.2.3
2019-07-23 0.2.2
2019-05-18 0.1.2
2019-03-29 0.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
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2022-04-06 1.1.0
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2024-05-25 1.1.1
Title: Authentication Helpers for 'Snowflake'
Description: Authentication helpers for 'Snowflake'.
It provides compatibility with authentication approaches supported
by the 'Snowflake Connector for Python' <https://pypi.org/project/snowflake-connector-python>
and the 'Snowflake CLI' <https://pypi.org/project/snowflake-cli>.
Author: Aaron Jacobs [aut],
E. David Aja [aut, cre],
Posit Software, PBC [cph, fnd]
Maintainer: E. David Aja <david@posit.co>
Diff between snowflakeauth versions 0.2.0 dated 2025-09-02 and 0.2.1 dated 2026-01-15
DESCRIPTION | 8 +- MD5 | 19 ++--- NEWS.md | 10 ++ R/config.R | 48 ++++++++++++- R/credentials.R | 141 +++++++++++++++++++++++++++++++++++++++- R/externalbrowser.R |only R/snowflakeauth-package.R | 3 README.md | 40 ++++++----- man/snowflake_credentials.Rd | 4 - tests/testthat/_snaps/config.md | 33 +++++++-- tests/testthat/test-config.R | 51 ++++++++++++++ 11 files changed, 310 insertions(+), 47 deletions(-)
Title: Easily Improve the User Experience of Your Shiny Apps in Seconds
Description: Perform common useful JavaScript operations in Shiny apps that will
greatly improve your apps without having to know any JavaScript. Examples
include: hiding an element, disabling an input, resetting an input back to
its original value, delaying code execution by a few seconds, and many more
useful functions for both the end user and the developer. 'shinyjs' can also
be used to easily call your own custom JavaScript functions from R.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>
Diff between shinyjs versions 2.1.0 dated 2021-12-23 and 2.1.1 dated 2026-01-15
shinyjs-2.1.0/shinyjs/R/shinyjs.R |only shinyjs-2.1.0/shinyjs/inst/doc/shinyjs.R |only shinyjs-2.1.0/shinyjs/inst/doc/shinyjs.Rmd |only shinyjs-2.1.0/shinyjs/inst/doc/shinyjs.html |only shinyjs-2.1.0/shinyjs/man/shinyjs.Rd |only shinyjs-2.1.0/shinyjs/vignettes/shinyjs.Rmd |only shinyjs-2.1.1/shinyjs/DESCRIPTION | 10 shinyjs-2.1.1/shinyjs/MD5 | 24 shinyjs-2.1.1/shinyjs/R/shinyjs-package.R |only shinyjs-2.1.1/shinyjs/README.md | 151 +---- shinyjs-2.1.1/shinyjs/build/vignette.rds |binary shinyjs-2.1.1/shinyjs/inst/doc/shinyjs-example.html | 580 ++++++++++---------- shinyjs-2.1.1/shinyjs/inst/doc/shinyjs-extend.html | 488 ++++++++++------ shinyjs-2.1.1/shinyjs/inst/doc/shinyjs-usage.html | 538 +++++++++++------- shinyjs-2.1.1/shinyjs/man/removeEvent.Rd | 140 ++-- shinyjs-2.1.1/shinyjs/man/shinyjs-defunct.Rd | 9 shinyjs-2.1.1/shinyjs/man/shinyjs-package.Rd |only 17 files changed, 1102 insertions(+), 838 deletions(-)
Title: Stock Assessment Methods Toolkit
Description: Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries.
'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting,
model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Author: Quang Huynh [aut, cre],
Tom Carruthers [aut],
Adrian Hordyk [aut]
Maintainer: Quang Huynh <quang@bluematterscience.com>
Diff between SAMtool versions 1.9.0 dated 2025-10-21 and 1.9.1 dated 2026-01-15
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 3 +++ build/partial.rdb |binary inst/include/RCM.hpp | 2 +- 5 files changed, 12 insertions(+), 9 deletions(-)
Title: Processing METAR Weather Reports
Description: Allows to download current and historical METAR weather reports
extract and parse basic parameters and present main weather information.
Current reports are downloaded from Aviation Weather Center
<https://aviationweather.gov/data/metar/> and historical reports from
Iowa Environmental Mesonet web page of Iowa State University
ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.
Author: Pawel Cwiek [aut, cre],
David Megginson [ctb] ,
Greg Thompson [ctb]
Maintainer: Pawel Cwiek <prc.altodato@gmail.com>
Diff between pmetar versions 0.6.0 dated 2025-09-14 and 0.7.0 dated 2026-01-15
DESCRIPTION | 8 ++--- MD5 | 30 ++++++++++---------- R/globals.R | 4 ++ R/metar_decode.R | 7 ++-- R/metar_get.R | 35 +++++++++++++++++++++--- R/metar_get_historical.R | 49 ++++++++++----------------------- build/vignette.rds |binary data/ourairports.rda |binary inst/doc/pmetar.R | 3 ++ inst/doc/pmetar.Rmd | 17 ++++++++--- inst/doc/pmetar.html | 51 +++++++++++++++++++---------------- man/metar_decode.Rd | 1 man/metar_get.Rd | 7 +++- man/metar_get_historical.Rd | 5 +-- tests/testthat/test_metar_location.R | 2 - vignettes/pmetar.Rmd | 17 ++++++++--- 16 files changed, 137 insertions(+), 99 deletions(-)
Title: Routines for L1 Estimation
Description: L1 estimation for linear regression using Barrodale and Roberts' method
<doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>.
Estimation of mean and covariance matrix using the multivariate Laplace distribution,
density, distribution function, quantile function and random number generation
for univariate and multivariate Laplace distribution <doi:10.1080/03610929808832115>.
Implementation of Naik and Plungpongpun <doi:10.1007/0-8176-4487-3_7> for the
Generalized spatial median estimator is included.
Author: Felipe Osorio [aut, cre] ,
Tymoteusz Wolodzko [aut]
Maintainer: Felipe Osorio <faosorios.stat@gmail.com>
Diff between L1pack versions 0.60 dated 2025-07-08 and 0.62 dated 2026-01-15
ChangeLog | 4 ++++ DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- R/LaplaceFit.R | 2 +- R/ccc.R | 2 +- R/plot.R | 8 ++++++-- R/wilson_hilferty.R | 2 +- inst/CITATION | 8 ++++---- man/l1ccc.Rd | 4 ++-- 9 files changed, 31 insertions(+), 23 deletions(-)
Title: Generalized Linear Mixed Models using Template Model Builder
Description: Fit linear and generalized linear mixed models with various
extensions, including zero-inflation. The models are fitted using maximum
likelihood estimation via 'TMB' (Template Model Builder). Random effects are
assumed to be Gaussian on the scale of the linear predictor and are integrated
out using the Laplace approximation. Gradients are calculated using automatic
differentiation.
Author: Mollie Brooks [aut, cre] ,
Ben Bolker [aut] ,
Kasper Kristensen [aut],
Martin Maechler [aut] ,
Arni Magnusson [aut] ,
Maeve McGillycuddy [ctb],
Hans Skaug [aut] ,
Anders Nielsen [aut] ,
Casper Berg [aut] ,
Koen van Bentham [aut],
Nafis Sadat [ctb] ,
[...truncated...]
Maintainer: Mollie Brooks <mollieebrooks@gmail.com>
Diff between glmmTMB versions 1.1.13 dated 2025-10-09 and 1.1.14 dated 2026-01-15
glmmTMB-1.1.13/glmmTMB/man/formatVC.Rd |only glmmTMB-1.1.13/glmmTMB/man/format_sdvar.Rd |only glmmTMB-1.1.14/glmmTMB/DESCRIPTION | 17 glmmTMB-1.1.14/glmmTMB/MD5 | 97 +-- glmmTMB-1.1.14/glmmTMB/NAMESPACE | 11 glmmTMB-1.1.14/glmmTMB/R/VarCorr.R | 252 --------- glmmTMB-1.1.14/glmmTMB/R/denom_df.R | 4 glmmTMB-1.1.14/glmmTMB/R/enum.R | 3 glmmTMB-1.1.14/glmmTMB/R/family.R | 2 glmmTMB-1.1.14/glmmTMB/R/glmmTMB.R | 74 ++ glmmTMB-1.1.14/glmmTMB/R/utils.R | 4 glmmTMB-1.1.14/glmmTMB/build/partial.rdb |binary glmmTMB-1.1.14/glmmTMB/build/vignette.rds |binary glmmTMB-1.1.14/glmmTMB/inst/NEWS.Rd | 29 + glmmTMB-1.1.14/glmmTMB/inst/doc/covstruct.R | 180 ++++-- glmmTMB-1.1.14/glmmTMB/inst/doc/covstruct.html | 199 ++++--- glmmTMB-1.1.14/glmmTMB/inst/doc/covstruct.rmd | 264 ++++++---- glmmTMB-1.1.14/glmmTMB/inst/doc/glmmTMB.Rnw | 4 glmmTMB-1.1.14/glmmTMB/inst/doc/glmmTMB.pdf |binary glmmTMB-1.1.14/glmmTMB/inst/doc/hacking.html | 4 glmmTMB-1.1.14/glmmTMB/inst/doc/mcmc.html | 4 glmmTMB-1.1.14/glmmTMB/inst/doc/miscEx.html | 4 glmmTMB-1.1.14/glmmTMB/inst/doc/model_evaluation.pdf |binary glmmTMB-1.1.14/glmmTMB/inst/doc/parallel.html | 4 glmmTMB-1.1.14/glmmTMB/inst/doc/priors.html | 6 glmmTMB-1.1.14/glmmTMB/inst/doc/sim.html | 18 glmmTMB-1.1.14/glmmTMB/inst/doc/troubleshooting.html | 4 glmmTMB-1.1.14/glmmTMB/inst/test_data/make_ex.R | 5 glmmTMB-1.1.14/glmmTMB/inst/vignette_data/cs_profile_plot.png |binary glmmTMB-1.1.14/glmmTMB/inst/vignette_data/model_evaluation.rda |binary glmmTMB-1.1.14/glmmTMB/inst/vignette_data/us_profile_plot.png |binary glmmTMB-1.1.14/glmmTMB/inst/vignette_data/volcano_data.png |binary glmmTMB-1.1.14/glmmTMB/man/dof_KR.Rd | 4 glmmTMB-1.1.14/glmmTMB/man/glmmTMB.Rd | 1 glmmTMB-1.1.14/glmmTMB/man/map.theta.propto.Rd | 4 glmmTMB-1.1.14/glmmTMB/man/print.VarCorr.glmmTMB.Rd | 5 glmmTMB-1.1.14/glmmTMB/man/simulate_new.Rd | 2 glmmTMB-1.1.14/glmmTMB/src/glmmTMB.cpp | 20 glmmTMB-1.1.14/glmmTMB/tests/testthat/test-VarCorr.R | 13 glmmTMB-1.1.14/glmmTMB/tests/testthat/test-equalto.R |only glmmTMB-1.1.14/glmmTMB/tests/testthat/test-families.R | 11 glmmTMB-1.1.14/glmmTMB/tests/testthat/test-predict.R | 3 glmmTMB-1.1.14/glmmTMB/tests/testthat/test-propto.R | 49 + glmmTMB-1.1.14/glmmTMB/tests/testthat/test-simulate_new.R | 12 glmmTMB-1.1.14/glmmTMB/tests/testthat/test-varstruc.R | 4 glmmTMB-1.1.14/glmmTMB/tests/testthat/test-weight.R | 4 glmmTMB-1.1.14/glmmTMB/tests/testthat/test-zi.R | 2 glmmTMB-1.1.14/glmmTMB/vignettes/covstruct.rmd | 264 ++++++---- glmmTMB-1.1.14/glmmTMB/vignettes/covstruct_files |only glmmTMB-1.1.14/glmmTMB/vignettes/glmmTMB.Rnw | 4 glmmTMB-1.1.14/glmmTMB/vignettes/glmmTMB.bib | 21 51 files changed, 926 insertions(+), 686 deletions(-)
Title: Convenient Functions for Ensemble Time Series Forecasts
Description: Convenient functions for ensemble forecasts in R combining
approaches from the 'forecast' package. Forecasts generated from auto.arima(), ets(),
thetaf(), nnetar(), stlm(), tbats(), snaive() and arfima() can be combined with equal weights, weights
based on in-sample errors (introduced by Bates & Granger (1969) <doi:10.1057/jors.1969.103>),
or cross-validated weights. Cross validation for time series data with user-supplied models
and forecasting functions is also supported to evaluate model accuracy.
Author: David Shaub [aut, cre],
Peter Ellis [aut]
Maintainer: David Shaub <davidshaub@alumni.harvard.edu>
Diff between forecastHybrid versions 5.1.20 dated 2025-07-06 and 5.1.21 dated 2026-01-15
DESCRIPTION | 10 ++-- MD5 | 18 ++++---- R/cvts.R | 6 +- R/generics.R | 8 +-- R/hybridModel.R | 2 R/theta.R | 2 R/thiefModel.R | 2 inst/NEWS.md | 5 ++ inst/doc/forecastHybrid.html | 94 +++++++++++++++++++++---------------------- tests/testthat/test-cvts.R | 2 10 files changed, 77 insertions(+), 72 deletions(-)
More information about forecastHybrid at CRAN
Permanent link
Title: Use Foreach to Parallelize via the Future Framework
Description: The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends <doi:10.32614/RJ-2021-048>. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are two alternative ways to use this package. The recommended approach is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'. The alternative is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between doFuture versions 1.1.3 dated 2025-12-09 and 1.2.0 dated 2026-01-15
DESCRIPTION | 6 MD5 | 16 - NEWS.md | 8 R/with.DoPar.R | 5 inst/doc/doFuture-1-overview.html | 8 inst/doc/doFuture-2-dopar.html | 8 inst/doc/doFuture-3-dofuture.html | 8 inst/testme/run.R | 562 ++++++++++++++++++++++---------------- man/with.DoPar.Rd | 2 9 files changed, 370 insertions(+), 253 deletions(-)
Title: Constrained Nonlinear Optimization
Description: Augmented Lagrangian Adaptive Barrier Minimization
Algorithm for optimizing smooth nonlinear objective functions
with constraints. Linear or nonlinear equality and inequality
constraints are allowed.
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Diff between alabama versions 2023.1.0 dated 2023-08-22 and 2025.1.0 dated 2026-01-15
DESCRIPTION | 17 +++++++++++------ MD5 | 6 +++--- NEWS | 9 +++++++-- R/constrOptim.nl.R | 2 ++ 4 files changed, 23 insertions(+), 11 deletions(-)
Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards
Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R.
ADaM datasets are a mandatory part of any New Drug or Biologics
License Application submitted to the United States Food and Drug
Administration (FDA). Analysis derivations are implemented in
accordance with the "Analysis Data Model Implementation Guide" (CDISC
Analysis Data Model Team, 2021,
<https://www.cdisc.org/standards/foundational/adam>).
Author: Ben Straub [aut, cre],
Stefan Bundfuss [aut] ,
Matt Bearham [aut],
Arianna Cascone [aut] ,
Kristin Dahnert [aut],
Jeffrey Dickinson [aut],
Ross Farrugia [aut],
Fanny Gautier [aut],
Edoardo Mancini [aut] ,
Gordon Miller [aut],
Lina Patil [aut],
Jim Ro [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>
Diff between admiral versions 1.3.1 dated 2025-07-29 and 1.4.0 dated 2026-01-15
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admiral-1.4.0/admiral/man/get_duplicates_dataset.Rd | 2 admiral-1.4.0/admiral/man/get_flagged_records.Rd | 2 admiral-1.4.0/admiral/man/get_imputation_target_date.Rd | 4 admiral-1.4.0/admiral/man/get_imputation_target_time.Rd | 2 admiral-1.4.0/admiral/man/get_many_to_one_dataset.Rd | 2 admiral-1.4.0/admiral/man/get_not_mapped.Rd | 2 admiral-1.4.0/admiral/man/get_one_to_many_dataset.Rd | 2 admiral-1.4.0/admiral/man/get_partialdatetime.Rd | 6 admiral-1.4.0/admiral/man/get_summary_records.Rd | 3 admiral-1.4.0/admiral/man/get_vars_query.Rd | 2 admiral-1.4.0/admiral/man/impute_dtc_dt.Rd | 11 admiral-1.4.0/admiral/man/impute_dtc_dtm.Rd | 19 admiral-1.4.0/admiral/man/list_all_templates.Rd | 2 admiral-1.4.0/admiral/man/list_tte_source_objects.Rd | 2 admiral-1.4.0/admiral/man/max_cond.Rd | 2 admiral-1.4.0/admiral/man/min_cond.Rd | 2 admiral-1.4.0/admiral/man/negate_vars.Rd | 2 admiral-1.4.0/admiral/man/params.Rd | 2 admiral-1.4.0/admiral/man/print.adam_templates.Rd | 2 admiral-1.4.0/admiral/man/print.duplicates.Rd | 2 admiral-1.4.0/admiral/man/print.source.Rd | 2 admiral-1.4.0/admiral/man/print_named_list.Rd | 2 admiral-1.4.0/admiral/man/query.Rd | 2 admiral-1.4.0/admiral/man/records_source.Rd | 2 admiral-1.4.0/admiral/man/restrict_derivation.Rd | 2 admiral-1.4.0/admiral/man/restrict_imputed_dtc_dt.Rd | 14 admiral-1.4.0/admiral/man/restrict_imputed_dtc_dtm.Rd | 18 admiral-1.4.0/admiral/man/roxygen/rdx_meta.R | 2 admiral-1.4.0/admiral/man/slice_derivation.Rd | 20 admiral-1.4.0/admiral/man/transform_range.Rd | 2 admiral-1.4.0/admiral/man/tte_source.Rd | 2 admiral-1.4.0/admiral/man/tte_source_objects.Rd | 2 admiral-1.4.0/admiral/man/use_ad_template.Rd | 4 admiral-1.4.0/admiral/man/yn_to_numeric.Rd | 2 admiral-1.4.0/admiral/tests/testthat/_snaps/call_user_fun.md | 4 admiral-1.4.0/admiral/tests/testthat/_snaps/create_query_data.md | 40 admiral-1.4.0/admiral/tests/testthat/_snaps/derive_merged.md | 87 admiral-1.4.0/admiral/tests/testthat/_snaps/derive_param_extreme_record.md | 5 admiral-1.4.0/admiral/tests/testthat/_snaps/derive_summary_records.md |only admiral-1.4.0/admiral/tests/testthat/_snaps/derive_var_atoxgr.md |only admiral-1.4.0/admiral/tests/testthat/_snaps/derive_var_dthcaus.md | 19 admiral-1.4.0/admiral/tests/testthat/_snaps/derive_var_extreme_date.md | 53 admiral-1.4.0/admiral/tests/testthat/_snaps/derive_vars_dt_dtm_utils.md | 2 admiral-1.4.0/admiral/tests/testthat/_snaps/derive_vars_dtm.md | 4 admiral-1.4.0/admiral/tests/testthat/_snaps/derive_vars_query.md | 17 admiral-1.4.0/admiral/tests/testthat/_snaps/derive_vars_transposed.md | 4 admiral-1.4.0/admiral/tests/testthat/_snaps/get_summary_records.md | 5 admiral-1.4.0/admiral/tests/testthat/test-compute_duration.R | 1 admiral-1.4.0/admiral/tests/testthat/test-compute_qual_imputation.R | 4 admiral-1.4.0/admiral/tests/testthat/test-compute_scale.R | 2 admiral-1.4.0/admiral/tests/testthat/test-convert_xxtpt_to_hours.R |only admiral-1.4.0/admiral/tests/testthat/test-create_query_data.R | 98 admiral-1.4.0/admiral/tests/testthat/test-create_single_dose_dataset.R | 1 admiral-1.4.0/admiral/tests/testthat/test-derive_locf_records.R | 2 admiral-1.4.0/admiral/tests/testthat/test-derive_merged.R | 274 admiral-1.4.0/admiral/tests/testthat/test-derive_param_exist_flag.R | 1 admiral-1.4.0/admiral/tests/testthat/test-derive_summary_records.R | 123 admiral-1.4.0/admiral/tests/testthat/test-derive_var_atoxgr.R | 2818 ++++++++-- admiral-1.4.0/admiral/tests/testthat/test-derive_var_dthcaus.R | 18 admiral-1.4.0/admiral/tests/testthat/test-derive_var_extreme_date.R | 1 admiral-1.4.0/admiral/tests/testthat/test-derive_var_nfrlt.R |only admiral-1.4.0/admiral/tests/testthat/test-derive_vars_cat.R | 1 admiral-1.4.0/admiral/tests/testthat/test-derive_vars_dt.R | 72 admiral-1.4.0/admiral/tests/testthat/test-derive_vars_dt_dtm_utils.R | 27 admiral-1.4.0/admiral/tests/testthat/test-derive_vars_dtm.R | 32 admiral-1.4.0/admiral/tests/testthat/test-derive_vars_query.R | 30 admiral-1.4.0/admiral/tests/testthat/test-restrict_derivation.R | 2 admiral-1.4.0/admiral/tests/testthat/test-slice_derivation.R | 34 admiral-1.4.0/admiral/tests/testthat/test-user_helpers.R | 2 admiral-1.4.0/admiral/vignettes/adab.Rmd |only admiral-1.4.0/admiral/vignettes/adsl.Rmd | 113 admiral-1.4.0/admiral/vignettes/bds_exposure.Rmd | 40 admiral-1.4.0/admiral/vignettes/bds_finding.Rmd | 124 admiral-1.4.0/admiral/vignettes/generic.Rmd | 40 admiral-1.4.0/admiral/vignettes/imputation.Rmd | 336 - admiral-1.4.0/admiral/vignettes/lab_grading.Rmd | 258 admiral-1.4.0/admiral/vignettes/occds.Rmd | 36 admiral-1.4.0/admiral/vignettes/pk_adnca.Rmd | 66 287 files changed, 8379 insertions(+), 3650 deletions(-)
Title: Adherence to Medications
Description: Computation of adherence to medications from Electronic Health care
Data and visualization of individual medication histories and adherence
patterns. The package implements a set of S3 classes and
functions consistent with current adherence guidelines and definitions.
It allows the computation of different measures of
adherence (as defined in the literature, but also several original ones),
their publication-quality plotting,
the estimation of event duration and time to initiation,
the interactive exploration of patient medication history and
the real-time estimation of adherence given various parameter settings.
It scales from very small datasets stored in flat CSV files to very large
databases and from single-thread processing on mid-range consumer
laptops to parallel processing on large heterogeneous computing clusters.
It exposes a standardized interface allowing it to be used from other
programming languages and platforms, such as Python.
Author: Dan Dediu [aut, cre],
Alexandra L. Dima [aut],
Samuel Allemann [aut]
Maintainer: Dan Dediu <ddediu@gmail.com>
Diff between AdhereR versions 0.8.1 dated 2022-07-05 and 0.8.2 dated 2026-01-15
DESCRIPTION | 16 MD5 | 47 NAMESPACE | 1 NEWS.md |only R/adherer.R | 54 R/call-adherer-external.R | 2 R/plotting.R | 5 R/polypharmacy.R | 1 build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 16 inst/doc/AdhereR-overview.R | 282 ++-- inst/doc/AdhereR-overview.Rmd | 14 inst/doc/AdhereR-overview.html | 1203 +++++++++++--------- inst/doc/adherer_with_databases.pdf |binary inst/doc/calling-AdhereR-from-python3.R | 2 inst/doc/calling-AdhereR-from-python3.Rmd | 8 inst/doc/calling-AdhereR-from-python3.html | 1329 +++++++++++------------ inst/specialVignettes/adherer_with_databases.Rmd | 10 inst/wrappers/julia/ReadMe.md | 4 inst/wrappers/python3/ReadMe.md | 5 inst/wrappers/python3/adherer.py | 2 man/med.groups.Rd | 4 vignettes/AdhereR-overview.Rmd | 14 vignettes/calling-AdhereR-from-python3.Rmd | 8 25 files changed, 1563 insertions(+), 1464 deletions(-)