Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] ,
Marcia Barbosa [ctb] ,
Roger Bivand [ctb] ,
Andrew Brown [ctb] ,
Michael Chirico [ctb] ,
Emanuele Cordano [ctb] ,
Krzysztof Dyba [ctb] ,
Edzer Pebesma [ctb] ,
Barry Rowlingson [ctb] ,
Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Diff between terra versions 1.8-60 dated 2025-07-21 and 1.8-70 dated 2025-09-26
DESCRIPTION | 8 +-- MD5 | 106 ++++++++++++++++++++--------------------- NEWS.md | 32 +++++++++++- R/SpatVectorCollection.R | 4 + R/aggregate.R | 3 + R/colors.R | 10 +++ R/generics.R | 53 +++++++++++++++++--- R/plot_2rasters.R | 6 +- R/plot_add.R | 1 R/plot_axes.R | 8 +-- R/plot_legend_classes.R | 7 +- R/plot_legend_continuous.R | 20 ++++--- R/plot_vector.R | 13 +++-- R/rast.R | 16 ++++-- R/tapp.R | 11 ++-- R/tiles.R | 13 ++++- R/time.R | 24 +++++---- R/values.R | 49 ++++++++++++++++++ R/vect.R | 19 ++++--- inst/tinytest/test_vect-geom.R | 4 + man/aggregate.Rd | 10 +++ man/all.equal.Rd | 19 +++++-- man/app.Rd | 2 man/colors.Rd | 5 + man/distance.Rd | 4 - man/divide.Rd | 2 man/global.Rd | 2 man/identical.Rd | 16 +++--- man/makeTiles.Rd | 8 +-- man/north.Rd | 2 man/plet.Rd | 2 man/plot.Rd | 7 +- man/resample.Rd | 7 +- man/scatter.Rd | 2 man/terra-package.Rd | 2 man/vect.Rd | 4 - src/RcppModule.cpp | 18 ++++++ src/distValueRaster.cpp | 3 - src/distVector.cpp | 2 src/gdal_algs.cpp | 10 +++ src/gdal_multidimensional.cpp | 32 +++++++++++- src/geos_methods.cpp | 1 src/geos_spat.h | 7 ++ src/geosphere.cpp | 2 src/ncdf.cpp | 1 src/raster_methods.cpp | 25 +++++++++ src/read_ogr.cpp | 91 ++++++++++++++++++++++++++++++++--- src/spatRaster.h | 2 src/spatRasterMultiple.cpp | 2 src/spatVector.cpp | 13 +++-- src/spatVector.h | 2 src/vector_methods.cpp | 2 src/write_gdal.cpp | 2 src/write_ogr.cpp | 9 ++- 54 files changed, 542 insertions(+), 183 deletions(-)
Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut] ,
Jay Skovlin [aut],
Stephen Roecker [aut],
Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>
Diff between soilDB versions 2.8.12 dated 2025-08-29 and 2.8.13 dated 2025-09-26
DESCRIPTION | 10 - MD5 | 38 ++-- NAMESPACE | 1 NEWS.md | 7 R/SDA-spatial.R | 88 ++++++++--- R/SDA_query.R | 21 +- R/fetchEDIT_tools.R | 6 R/get_OSD.R | 6 R/get_SDA_NASIS_keys.R |only R/get_SDA_property.R | 50 +++--- inst/doc/local-ssurgo.R | 97 +++++------- inst/doc/local-ssurgo.Rmd | 202 +++++++++++++++----------- inst/doc/local-ssurgo.html | 302 +++++++++++++++++++++++---------------- man/SDA_spatialQuery.Rd | 81 +++++++--- man/get_OSD.Rd | 2 man/get_SDA_NASIS_key.Rd |only man/make_EDIT_service_URL.Rd | 6 tests/testthat/test-SDA_query.R | 97 +++++++++++- tests/testthat/test-fetchLDM.R | 2 tests/testthat/test-fetchNASIS.R | 20 +- vignettes/local-ssurgo.Rmd | 202 +++++++++++++++----------- 21 files changed, 764 insertions(+), 474 deletions(-)
Title: Multi-Reader Multi-Case Analysis of Variance
Description: Estimation and comparison of the performances of diagnostic tests
in multi-reader multi-case studies where true case statuses (or ground
truths) are known and one or more readers provide test ratings for multiple
cases. Reader performance metrics are provided for area under and expected
utility of ROC curves, likelihood ratio of positive or negative tests, and
sensitivity and specificity. ROC curves can be estimated empirically or
with binormal or binormal likelihood-ratio models. Statistical comparisons
of diagnostic tests are based on the ANOVA model of Obuchowski-Rockette and
the unified framework of Hillis (2005) <doi:10.1002/sim.2024>. The ANOVA
can be conducted with data from a full factorial, nested, or partially
paired study design; with random or fixed readers or cases; and covariances
estimated with the DeLong method, jackknifing, or an unbiased method. Smith
and Hillis (2020) <doi:10.1117/12.2549075>.
Author: Brian J Smith [aut, cre],
Stephen L Hillis [aut],
Lorenzo L Pesce [ctb]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Diff between MRMCaov versions 0.3.0 dated 2023-01-10 and 0.3.1 dated 2025-09-26
DESCRIPTION | 12 MD5 | 34 - NAMESPACE | 2 NEWS.md | 6 R/data.R | 26 R/jackknife.R | 2 R/print.R | 14 R/roc.R | 2 R/summary.R | 19 R/utils.R | 4 README.md | 15 build/partial.rdb |binary build/vignette.rds |binary data/Kundel.RData |binary data/Soh.RData |only inst/CITATION | 2 inst/doc/UserGuide.R | 4 inst/doc/UserGuide.html | 1448 +++++++++++++++++++++++++++++++----------------- man/Soh.Rd |only 19 files changed, 1023 insertions(+), 567 deletions(-)
Title: Foundations Toolkit and Datasets for Data Science
Description: Provides a collection of helper functions and illustrative datasets to support learning and teaching of data science with R. The package is designed as a companion to the book <https://book-data-science-r.netlify.app>, making key data science techniques accessible to individuals with minimal coding experience. Functions include tools for data partitioning, performance evaluation, and data transformations (e.g., z-score and min-max scaling). The included datasets are curated to highlight practical applications in data exploration, modeling, and multivariate analysis. An early inspiration for the package came from an ancient Persian idiom about "eating the liver," symbolizing deep and immersive engagement with knowledge.
Author: Reza Mohammadi [aut, cre] ,
Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>
Diff between liver versions 1.21 dated 2025-09-07 and 1.22 dated 2025-09-26
DESCRIPTION | 6 +++--- MD5 | 48 +++++++++++++++++++++++++----------------------- NEWS.md | 4 ++++ data/datalist | 1 + data/drug.RData |only man/adult.Rd | 9 +++------ man/advertising.Rd | 6 ++---- man/bank.Rd | 6 ++---- man/caravan.Rd | 15 +++++++++------ man/cereal.Rd | 17 +++-------------- man/churn.Rd | 16 ++++++++-------- man/churnCredit.Rd | 6 ++---- man/churnTel.Rd | 6 ++---- man/corona.Rd | 6 ++---- man/drug.Rd |only man/fertilizer.Rd | 1 - man/figures/logo.png |binary man/house.Rd | 6 ++---- man/housePrice.Rd | 6 ++---- man/insurance.Rd | 6 ++---- man/kNN.Rd | 3 +-- man/kNN.plot.Rd | 7 ++----- man/marketing.Rd | 6 ++---- man/redWines.Rd | 6 ++---- man/risk.Rd | 1 - man/whiteWines.Rd | 6 ++---- 26 files changed, 81 insertions(+), 113 deletions(-)
Title: Spatial Analysis in Archaeology from Refitting Fragments
Description: Methods to analyse spatial units in archaeology from the relationships between refitting fragmented objects scattered in these units (e.g. stratigraphic layers). Graphs are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions can: 1) create, manipulate, visualise, and simulate fragmentation graphs, 2) measure the cohesion and admixture of archaeological spatial units, and 3) characterise the topology of a specific set of refitting relationships. A series of published empirical datasets is included. Documentation about 'archeofrag' is provided by a vignette and by the accompanying scientific papers: Plutniak (2021, Journal of Archaeological Science, <doi:10.1016/j.jas.2021.105501>) and Plutniak (2022, Journal of Open Source Software, <doi:10.21105/joss.04335>). This package is complemented by the 'archeofrag.gui' R package, a companion GUI application available at <https://analytics.huma-num.fr/Sebast [...truncated...]
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Diff between archeofrag versions 1.2.0 dated 2025-03-27 and 1.2.3 dated 2025-09-26
archeofrag-1.2.0/archeofrag/data/GrandeRivoire.RData |only archeofrag-1.2.0/archeofrag/man/GrandeRivoire.Rd |only archeofrag-1.2.3/archeofrag/DESCRIPTION | 13 archeofrag-1.2.3/archeofrag/MD5 | 54 archeofrag-1.2.3/archeofrag/NEWS.md | 16 archeofrag-1.2.3/archeofrag/R/frag.edges.weighting.R | 2 archeofrag-1.2.3/archeofrag/R/frag.get.parameters.R | 13 archeofrag-1.2.3/archeofrag/R/frag.graph.reduce.R | 16 archeofrag-1.2.3/archeofrag/R/frag.simul.process.R | 1 archeofrag-1.2.3/archeofrag/R/make_frag_object.R | 4 archeofrag-1.2.3/archeofrag/R/utils.R | 24 archeofrag-1.2.3/archeofrag/TODO | 10 archeofrag-1.2.3/archeofrag/build/vignette.rds |binary archeofrag-1.2.3/archeofrag/data/BoutDesVergnes.RData |binary archeofrag-1.2.3/archeofrag/data/Chauzeys.RData |binary archeofrag-1.2.3/archeofrag/data/Fumane.RData |binary archeofrag-1.2.3/archeofrag/data/Geelbek.RData |only archeofrag-1.2.3/archeofrag/data/GrandeRivoire1stMeso.RData |only archeofrag-1.2.3/archeofrag/data/GrandeRivoire2ndMeso.RData |only archeofrag-1.2.3/archeofrag/data/Grotte16.RData |only archeofrag-1.2.3/archeofrag/data/StCesaire1987.RData |only archeofrag-1.2.3/archeofrag/data/StCesaire2024.RData |only archeofrag-1.2.3/archeofrag/inst/doc/archeofrag-vignette.html | 902 ++++------ archeofrag-1.2.3/archeofrag/man/BoutDesVergnes.Rd | 4 archeofrag-1.2.3/archeofrag/man/Chauzeys.Rd | 4 archeofrag-1.2.3/archeofrag/man/Fumane.Rd | 2 archeofrag-1.2.3/archeofrag/man/Geelbek.Rd |only archeofrag-1.2.3/archeofrag/man/GrandeRivoire1stMeso.Rd |only archeofrag-1.2.3/archeofrag/man/GrandeRivoire2ndMeso.Rd |only archeofrag-1.2.3/archeofrag/man/Grotte16.Rd |only archeofrag-1.2.3/archeofrag/man/StCesaire1987.Rd |only archeofrag-1.2.3/archeofrag/man/StCesaire2024.Rd |only archeofrag-1.2.3/archeofrag/man/frag.graph.reduce.Rd | 8 archeofrag-1.2.3/archeofrag/man/frag.simul.process.Rd | 7 archeofrag-1.2.3/archeofrag/tests/testthat/test-frag.simul.compare.R | 1 35 files changed, 475 insertions(+), 606 deletions(-)
Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript
and WebAssembly engine. This package can be compiled either with V8 version 6
and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] ,
George Stagg [ctb] ,
Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between V8 versions 7.0.0 dated 2025-09-01 and 8.0.0 dated 2025-09-26
DESCRIPTION | 8 +++++--- MD5 | 24 +++++++++++++----------- NEWS | 4 ++++ R/wasm.R | 4 ++-- build/partial.rdb |binary configure | 6 ++++++ inst/doc/npm.html | 4 ++-- inst/doc/v8_intro.html | 6 +++--- src/Makevars.win | 2 +- src/V8_types.h | 8 +++++++- src/bindings.cpp | 8 ++++++++ src/emscripten |only tools/winlibs.R | 6 +++--- 13 files changed, 54 insertions(+), 26 deletions(-)
Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into
different SQL dialects. These dialects include 'Microsoft SQL Server', 'Oracle',
'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', 'Snowflake',
'Azure Synapse Analytics Dedicated', 'Apache Spark', 'SQLite', and 'InterSystems IRIS'.
Author: Martijn Schuemie [aut, cre],
Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Diff between SqlRender versions 1.19.3 dated 2025-08-19 and 1.19.4 dated 2025-09-26
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- NEWS.md | 7 +++++++ inst/csv/replacementPatterns.csv | 5 +++-- inst/doc/UsingSqlRender.pdf |binary tests/testthat/test-translate-spark.R | 9 +++++++-- 6 files changed, 27 insertions(+), 14 deletions(-)
Title: OLS, Moderated, Logistic, and Count Regressions Made Simple
Description: Provides SPSS- and SAS-like output for least squares multiple regression,
logistic regression, and count variable regressions. Detailed output is also provided for
OLS moderated regression, interaction plots, and Johnson-Neyman
regions of significance. The output includes standardized
coefficients, partial and semi-partial correlations, collinearity diagnostics,
plots of residuals, and detailed information about simple slopes for interactions.
The output for some functions includes Bayes Factors and, if requested,
regression coefficients from Bayesian Markov Chain Monte Carlo analyses.
There are numerous options for model plots.
The REGIONS_OF_SIGNIFICANCE function also provides
Johnson-Neyman regions of significance and plots of interactions for both lm
and lme models. There is also a function for partial and semipartial
correlations and a function for conducting Cohen's
set correlation analyses.
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>
Diff between SIMPLE.REGRESSION versions 0.2.6 dated 2025-06-20 and 0.2.7 dated 2025-09-26
DESCRIPTION | 11 +++--- MD5 | 18 +++++------ NAMESPACE | 2 - R/COUNT_REGRESSION.R | 71 ++++++++++++++++++++++--------------------- R/LOGISTIC_REGRESSION.R | 72 ++++++++++++++++++++++---------------------- R/utilities_boc.R | 4 +- man/COUNT_REGRESSION.Rd | 22 ------------- man/LOGISTIC_REGRESSION.Rd | 21 ------------ man/MODERATED_REGRESSION.Rd | 6 --- man/OLS_REGRESSION.Rd | 6 --- 10 files changed, 89 insertions(+), 144 deletions(-)
More information about SIMPLE.REGRESSION at CRAN
Permanent link
Title: 'ttf2pt1' Program
Description: Contains the program 'ttf2pt1', for use with the
'extrafont' package. This product includes software developed by the 'TTF2PT1'
Project and its contributors.
Author: Winston Chang [aut],
Andrew Weeks [aut],
Frank M. Siegert [aut],
Mark Heath [aut],
Thomas Henlick [aut],
Sergey Babkin [aut],
Turgut Uyar [aut],
Rihardas Hepas [aut],
Szalay Tamas [aut],
Johan Vromans [aut],
Petr Titera [aut],
Lei Wang [aut],
Chen Xi [...truncated...]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Diff between Rttf2pt1 versions 1.3.13 dated 2025-09-24 and 1.3.14 dated 2025-09-26
DESCRIPTION | 15 +++++++++------ MD5 | 9 +++++---- NEWS.md | 5 +++++ README.md | 18 ++++++++++++++---- inst |only src/ttf2pt1/t1asm.c | 27 ++++++++++++++++++++++----- 6 files changed, 55 insertions(+), 19 deletions(-)
Title: Response Surface Analysis
Description: Advanced response surface analysis. The main function RSA computes
and compares several nested polynomial regression models (full second- or
third-order polynomial, shifted and rotated squared difference model,
rising ridge surfaces, basic squared difference model, asymmetric or
level-dependent congruence effect models). The package provides plotting
functions for 3d wireframe surfaces, interactive 3d plots, and contour plots.
Calculates many surface parameters (a1 to a5, principal axes, stationary point,
eigenvalues) and provides standard, robust, or bootstrapped standard errors
and confidence intervals for them.
Author: Felix Schoenbrodt [cre, aut],
Sarah Humberg [aut]
Maintainer: Felix Schoenbrodt <felix@nicebread.de>
Diff between RSA versions 0.10.6 dated 2023-01-12 and 0.10.8 dated 2025-09-26
DESCRIPTION | 12 MD5 | 21 R/RSA.R | 2076 ++++++++++++++++++++++++++++----------------------------- R/RSA.ST.R | 8 R/aictab.R | 2 R/globals.R |only R/plot.RSA.R | 94 +- inst/CITATION | 8 inst/News.Rd | 24 man/RSA.Rd | 6 man/RSA.ST.Rd | 6 man/plotRSA.Rd | 8 12 files changed, 1168 insertions(+), 1097 deletions(-)
Title: Processing and Transforming Relational Event History Data
Description: Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>).
Author: Giuseppe Arena [aut, cre] ,
Rumana Lakdawala [ctb],
Marlyne Meijerink-Bosman [ctb],
Diana Karimova [ctb],
Fabio Generoso Vieira [ctb],
Mahdi Shafiee Kamalabad [ctb],
Roger Leenders [ctb],
Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>
Diff between remify versions 3.2.8 dated 2025-01-29 and 3.2.9 dated 2025-09-26
DESCRIPTION | 11 ++++++----- MD5 | 34 +++++++++++++++++----------------- R/rehshape.R | 6 +++--- R/remify.R | 4 ++-- build/partial.rdb |binary build/vignette.rds |binary inst/doc/rehshape.Rmd | 1 - inst/doc/rehshape.html | 1 - inst/doc/remify.R | 2 +- inst/doc/remify.Rmd | 3 +-- inst/doc/remify.html | 11 +++++------ inst/doc/riskset.R | 17 ++++++++--------- inst/doc/riskset.Rmd | 18 ++++++++---------- inst/doc/riskset.html | 17 ++++++++--------- src/remify.cpp | 16 +++++++++------- vignettes/rehshape.Rmd | 1 - vignettes/remify.Rmd | 3 +-- vignettes/riskset.Rmd | 18 ++++++++---------- 18 files changed, 77 insertions(+), 86 deletions(-)
Title: Prepare American Psychological Association Journal Articles with
R Markdown
Description: Tools to create dynamic, submission-ready manuscripts, which
conform to American Psychological Association manuscript guidelines. We
provide R Markdown document formats for manuscripts (PDF and Word) and
revision letters (PDF). Helper functions facilitate reporting statistical
analyses or create publication-ready tables and plots.
Author: Frederik Aust [aut, cre] ,
Marius Barth [aut] ,
Birk Diedenhofen [ctb],
Christoph Stahl [ctb],
Joseph V. Casillas [ctb],
Rudolf Siegel [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>
Diff between papaja versions 0.1.3 dated 2024-10-24 and 0.1.4 dated 2025-09-26
papaja-0.1.3/papaja/inst/rmarkdown/templates/apa6/resources/apa6_man__.docx |only papaja-0.1.4/papaja/DESCRIPTION | 19 +++--- papaja-0.1.4/papaja/MD5 | 31 +++++----- papaja-0.1.4/papaja/R/apa_print_emm_lsm.R | 15 +--- papaja-0.1.4/papaja/R/apa_print_glm.R | 10 +-- papaja-0.1.4/papaja/R/cite_r.R | 10 +-- papaja-0.1.4/papaja/R/lookup_tables.R | 2 papaja-0.1.4/papaja/R/mbess-ci-r2.R |only papaja-0.1.4/papaja/R/utils.R | 6 + papaja-0.1.4/papaja/README.md | 12 ++- papaja-0.1.4/papaja/build/partial.rdb |binary papaja-0.1.4/papaja/build/vignette.rds |binary papaja-0.1.4/papaja/inst/NEWS.md | 9 ++ papaja-0.1.4/papaja/inst/WORDLIST | 1 papaja-0.1.4/papaja/inst/doc/extending_apa_print.html | 19 +++--- papaja-0.1.4/papaja/tests/testthat/test_apa_print_emm_lsm.R | 2 papaja-0.1.4/papaja/tests/testthat/test_apa_print_htest.R | 23 ++++++- papaja-0.1.4/papaja/tests/testthat/test_apa_table.log |only 18 files changed, 99 insertions(+), 60 deletions(-)
Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially desc [...truncated...]
Author: A. Marcia Barbosa [aut],
Alba Estrada [ctb],
Paul Melloy [ctb],
Jose Carlos Guerrero [fnd],
A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>
Diff between fuzzySim versions 4.34 dated 2025-09-08 and 4.36 dated 2025-09-26
DESCRIPTION | 8 - MD5 | 14 +-- NEWS.md | 219 +++++++++++++++++++++++++++--------------------- R/fuzzyRangeChange.R | 4 R/getRegion.R | 20 ++-- R/gridRecords.R | 4 man/fuzzySim-package.Rd | 4 man/getRegion.Rd | 25 +++-- 8 files changed, 171 insertions(+), 127 deletions(-)
Title: Inferring Causal Effects using Bayesian Structural Time-Series
Models
Description: Implements a Bayesian approach to causal impact estimation in time
series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>.
See the package documentation on GitHub
<https://google.github.io/CausalImpact/> to get started.
Author: Kay H. Brodersen [aut],
Alain Hauser [aut, cre]
Maintainer: Alain Hauser <alhauser@google.com>
Diff between CausalImpact versions 1.3.0 dated 2022-11-09 and 1.4.1 dated 2025-09-26
DESCRIPTION | 25 + MD5 | 32 +- R/impact_analysis.R | 2 R/impact_inference.R | 16 + R/impact_plot.R | 8 README.md | 14 - build/vignette.rds |binary inst/CITATION | 4 inst/doc/CausalImpact.R | 82 +++--- inst/doc/CausalImpact.Rmd | 4 inst/doc/CausalImpact.html | 426 +++++++++++++++++++++++---------- tests/testthat/test-impact-analysis.R | 6 tests/testthat/test-impact-inference.R | 4 tests/testthat/test-impact-misc.R | 10 tests/testthat/test-impact-model.R | 11 tests/testthat/test-impact-plot.R | 57 ++-- vignettes/CausalImpact.Rmd | 4 17 files changed, 462 insertions(+), 243 deletions(-)
Title: Compress and Decompress Data Using the 'BLOSC' Library
Description: Arrays of structured data types can require large volumes of disk
space to store. 'Blosc' is a library that provides a fast and efficient way
to compress such data. It is often applied in storage of n-dimensional
arrays, such as in the case of the geo-spatial 'zarr' file format. This
package can be used to compress and decompress data using 'Blosc'.
Author: Pepijn de Vries [aut, cre] ,
Chris Maiwald [cph],
Alexander Gessler [cph]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Diff between blosc versions 0.1.1 dated 2025-09-11 and 0.1.2 dated 2025-09-26
DESCRIPTION | 6 MD5 | 34 - NAMESPACE | 16 NEWS.md | 4 R/blosc-package.R | 20 R/r2dtype.R | 174 +++--- README.md | 174 +++--- configure | 911 +++++++++++++++++++++++++++++++++- configure.ac | 71 +- inst/doc/dtypes.Rmd | 342 ++++++------ man/blosc-package.Rd | 64 +- man/blosc.Rd | 122 ++-- man/dtype.Rd | 186 +++--- man/figures/logo.svg | 200 +++---- src/umHalf.inl | 1228 +++++++++++++++++++++++----------------------- tests/testthat.R | 24 tests/testthat/test_dev.R | 50 - vignettes/dtypes.Rmd | 342 ++++++------ 18 files changed, 2432 insertions(+), 1536 deletions(-)
Title: Exploratory Data Analysis, Group Comparison Tools, and Other
Procedures
Description: Provides a comprehensive set of tools for descriptive statistics,
graphical data exploration, outlier detection, homoscedasticity testing, and
multiple comparison procedures. Includes manual implementations of Levene's test,
Bartlett's test, and the Fligner-Killeen test, as well as post hoc comparison
methods such as Tukey, Scheffé, Games-Howell, Brunner-Munzel, and others.
This version introduces two new procedures: the Jonckheere-Terpstra trend test
and the Jarque-Bera test with Glinskiy's (2024) correction. Designed for use in
teaching, applied statistical analysis, and reproducible research.
Author: Carlos Jimenez-Gallardo [aut, cre]
Maintainer: Carlos Jimenez-Gallardo <carlos.jimenez@ufrontera.cl>
Diff between Analitica versions 1.8.5 dated 2025-06-27 and 2.0.0 dated 2025-09-26
DESCRIPTION | 8 - MD5 | 50 +++++----- NAMESPACE | 5 + R/BonferroniTest.R | 173 ++++++++++++++++++++++++++----------- R/DuncanTest.R | 183 +++++++++++++++++++++++++-------------- R/GabrielTest.R | 177 +++++++++++++++++++++++++------------- R/HolmTest.R | 168 ++++++++++++++++++++++++------------ R/LSDTest.R | 163 +++++++++++++++++++++++++---------- R/SNKTest.R | 194 +++++++++++++++++++++++++++--------------- R/ScheffeTest.R | 180 +++++++++++++++++++++++++------------- R/SidakTest.R |only R/TukeyTest.R | 153 ++++++++++++++++++++++++--------- R/plot_comparations.R | 153 ++++++++++++++++++++++----------- R/posthoc_planner.R |only build/partial.rdb |binary build/vignette.rds |binary inst/doc/Analitica-intro.html | 10 +- man/BonferroniTest.Rd | 42 ++++++--- man/DuncanTest.Rd | 44 ++++++--- man/GabrielTest.Rd | 41 ++++++-- man/HolmTest.Rd | 38 +++++--- man/LSDTest.Rd | 34 ++++++- man/Posthoc_planner.Rd |only man/SNKTest.Rd | 40 ++++++-- man/ScheffeTest.Rd | 41 ++++++-- man/SidakTest.Rd |only man/TukeyTest.Rd | 54 +++++++++-- man/plot.comparaciones.Rd | 46 ++++++--- 28 files changed, 1372 insertions(+), 625 deletions(-)
Title: Models for Data from Unmarked Animals
Description: Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. References: Kellner et al. (2023) <doi:10.1111/2041-210X.14123>, Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Author: Richard Chandler [aut],
Ken Kellner [cre, aut],
Ian Fiske [aut],
David Miller [aut],
Andy Royle [aut],
Jeff Hostetler [aut],
Rebecca Hutchinson [aut],
Adam Smith [aut],
Lea Pautrel [aut],
Marc Kery [ctb],
Mike Meredith [ctb],
Auriel Fournier [ctb],
A [...truncated...]
Maintainer: Ken Kellner <contact@kenkellner.com>
Diff between unmarked versions 1.5.0 dated 2025-02-10 and 1.5.1 dated 2025-09-26
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Title: User-Friendly Tables with Color Helpers for Data Exploration
Description: Make it easy to deal with multiple cross-tables in data exploration, by
creating them, manipulating them, and adding color helpers to highlight
important informations (differences from totals, comparisons between lines or
columns, contributions to variance, confidence intervals, odds ratios, etc.).
All functions are pipe-friendly and render data frames which can be easily
manipulated. In the same time, time-taking operations are done with 'data.table'
to go faster with big dataframes. Tables can be exported with formats and colors
to 'Excel', plot and html.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@gmail.com>
Diff between tabxplor versions 1.3.0 dated 2025-03-09 and 1.3.1 dated 2025-09-26
DESCRIPTION | 8 MD5 | 24 NEWS.md | 7 R/jmvtab.b.R | 428 ++-- R/jmvtab.h.R | 67 R/tab.R | 8 R/tab_classes.R | 12 R/utils.R | 90 README.md | 12 build/vignette.rds |binary inst/doc/tabxplor.html | 5144 ++++++++++++++++++------------------------------- inst/i18n/fr.json | 107 - man/jmvtab.Rd | 23 13 files changed, 2392 insertions(+), 3538 deletions(-)
Title: Estimators of Prediction Accuracy for Time-to-Event Data
Description: Provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data.
Author: Sergej Potapov [aut],
Werner Adler [aut],
Matthias Schmid [aut],
Frederic Bertrand [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Diff between survAUC versions 1.3-0 dated 2024-09-09 and 1.4-0 dated 2025-09-26
survAUC-1.3-0/survAUC/R/BaggC.R |only survAUC-1.3-0/survAUC/R/survAUC_Song_Zhou.R |only survAUC-1.3-0/survAUC/man/AUC.ChamDiao.Rd |only survAUC-1.3-0/survAUC/man/AUC.HungChiang.Rd |only survAUC-1.3-0/survAUC/man/AUC.Song_Zhou.Rd |only survAUC-1.3-0/survAUC/man/AUC.uno.Rd |only survAUC-1.3-0/survAUC/man/IntegratedAUC.Rd |only survAUC-1.3-0/survAUC/man/OXS.Rd |only survAUC-1.3-0/survAUC/man/plot.survAUC.Rd |only survAUC-1.3-0/survAUC/man/schemper.Err.Rd |only survAUC-1.4-0/survAUC/DESCRIPTION | 32 ++- survAUC-1.4-0/survAUC/MD5 | 88 +++++---- survAUC-1.4-0/survAUC/NAMESPACE | 39 ++-- survAUC-1.4-0/survAUC/NEWS.md | 10 + survAUC-1.4-0/survAUC/R/BeggC.R |only survAUC-1.4-0/survAUC/R/IntegratedAUC.R | 66 +++++++ survAUC-1.4-0/survAUC/R/UnoC.R | 63 ++++++ survAUC-1.4-0/survAUC/R/plot.survAUC.R | 61 ++++++ survAUC-1.4-0/survAUC/R/schemper.R | 62 ++++++ survAUC-1.4-0/survAUC/R/survAUC-package.R |only survAUC-1.4-0/survAUC/R/survAUC_ChamDiao.R | 61 ++++++ survAUC-1.4-0/survAUC/R/survAUC_HungChiang.R | 61 ++++++ survAUC-1.4-0/survAUC/R/survAUC_SongZhou.R |only survAUC-1.4-0/survAUC/R/survAUC_Uno.R | 79 ++++++++ survAUC-1.4-0/survAUC/R/surv_measures.R | 199 +++++++++++++++++++++- survAUC-1.4-0/survAUC/R/zzz.R | 15 - survAUC-1.4-0/survAUC/README.md |only survAUC-1.4-0/survAUC/inst |only survAUC-1.4-0/survAUC/man/BeggC.Rd | 62 +++--- survAUC-1.4-0/survAUC/man/GHCI.Rd | 79 ++++---- survAUC-1.4-0/survAUC/man/IntAUC.Rd |only survAUC-1.4-0/survAUC/man/R2_type_Coef.Rd |only survAUC-1.4-0/survAUC/man/UnoC.Rd | 88 +++++---- survAUC-1.4-0/survAUC/man/figures |only survAUC-1.4-0/survAUC/man/plot_survAUC_survErr.Rd |only survAUC-1.4-0/survAUC/man/predErr.Rd | 121 +++++++------ survAUC-1.4-0/survAUC/man/schemper.Rd |only survAUC-1.4-0/survAUC/man/survAUC-package.Rd |only survAUC-1.4-0/survAUC/man/survAUC_ChamDiao.Rd |only survAUC-1.4-0/survAUC/man/survAUC_HungChiang.Rd |only survAUC-1.4-0/survAUC/man/survAUC_SongZhou.Rd |only survAUC-1.4-0/survAUC/man/survAUC_Uno.Rd |only survAUC-1.4-0/survAUC/src/R_init_survAUC.c | 2 survAUC-1.4-0/survAUC/src/survAUC_Cham_Diao.c | 2 survAUC-1.4-0/survAUC/src/survAUC_HZ.c | 2 survAUC-1.4-0/survAUC/src/survAUC_Hung_Chiang.c | 2 survAUC-1.4-0/survAUC/src/survAUC_SongZhou.c | 2 survAUC-1.4-0/survAUC/src/survAUC_UNO.c | 2 survAUC-1.4-0/survAUC/src/surv_measures.c | 2 survAUC-1.4-0/survAUC/src/utils.c | 2 survAUC-1.4-0/survAUC/tests |only 51 files changed, 952 insertions(+), 250 deletions(-)
Title: Testing, Monitoring, and Dating Structural Changes: C++ Version
Description: A fast implementation with additional experimental features for
testing, monitoring and dating structural changes in (linear)
regression models. 'strucchangeRcpp' features tests/methods from
the generalized fluctuation test framework as well as from
the F test (Chow test) framework. This includes methods to
fit, plot and test fluctuation processes (e.g. cumulative/moving
sum, recursive/moving estimates) and F statistics, respectively.
These methods are described in Zeileis et al. (2002)
<doi:10.18637/jss.v007.i02>.
Finally, the breakpoints in regression models with structural
changes can be estimated together with confidence intervals,
and their magnitude as well as the model fit can be evaluated
using a variety of statistical measures.
Author: Dainius Masiliunas [aut, cre] ,
Achim Zeileis [aut] ,
Marius Appel [aut],
Friedrich Leisch [aut],
Kurt Hornik [aut],
Christian Kleiber [aut],
Andrei Mirt [ctb] ,
Bruce Hansen [ctb],
Edgar C. Merkle [ctb],
Nikolaus Umlauf [ctb]
Maintainer: Dainius Masiliunas <pastas4@gmail.com>
Diff between strucchangeRcpp versions 1.5-4-1.0.0 dated 2024-10-17 and 1.5-4-1.0.1 dated 2025-09-26
DESCRIPTION | 13 +++++++------ MD5 | 12 ++++++------ NEWS | 5 +++++ build/partial.rdb |binary build/vignette.rds |binary inst/doc/strucchange-intro.pdf |binary src/recresid.cpp | 4 ++-- 7 files changed, 20 insertions(+), 14 deletions(-)
More information about strucchangeRcpp at CRAN
Permanent link
Title: Simulate Data from State Space Models
Description: Provides a streamlined and user-friendly framework
for simulating data in state space models,
particularly when the number of subjects/units (n) exceeds one,
a scenario commonly encountered in social and behavioral sciences.
For an introduction to state space models in social and behavioral sciences,
refer to Chow, Ho, Hamaker, and Dolan (2010) <doi:10.1080/10705511003661553>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>
Diff between simStateSpace versions 1.2.10 dated 2025-03-29 and 1.2.11 dated 2025-09-26
simStateSpace-1.2.10/simStateSpace/R/simStateSpace-lin-sde-cov.R |only simStateSpace-1.2.10/simStateSpace/R/simStateSpace-lin-sde-mean.R |only simStateSpace-1.2.10/simStateSpace/man/LinSDECov.Rd |only simStateSpace-1.2.10/simStateSpace/man/LinSDEMean.Rd |only simStateSpace-1.2.10/simStateSpace/tests/testthat/Rplots.pdf |only simStateSpace-1.2.10/simStateSpace/tests/testthat/test-simStateSpace-lin-sde-cov.R |only simStateSpace-1.2.10/simStateSpace/tests/testthat/test-simStateSpace-lin-sde-mean.R |only simStateSpace-1.2.11/simStateSpace/DESCRIPTION | 12 simStateSpace-1.2.11/simStateSpace/MD5 | 142 - simStateSpace-1.2.11/simStateSpace/NAMESPACE | 22 simStateSpace-1.2.11/simStateSpace/NEWS.md | 12 simStateSpace-1.2.11/simStateSpace/R/RcppExports.R | 582 +++++ simStateSpace-1.2.11/simStateSpace/R/simStateSpace-lin-sde-cov-eta.R |only simStateSpace-1.2.11/simStateSpace/R/simStateSpace-lin-sde-cov-y.R |only simStateSpace-1.2.11/simStateSpace/R/simStateSpace-lin-sde-mean-eta.R |only 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simStateSpace-1.2.11/simStateSpace/man/SimSSMLinGrowthIVary.Rd | 42 simStateSpace-1.2.11/simStateSpace/man/SimSSMLinSDEFixed.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/SimSSMLinSDEIVary.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/SimSSMOUFixed.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/SimSSMOUIVary.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/SimSSMVARFixed.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/SimSSMVARIVary.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/SpectralAbscissa.Rd |only simStateSpace-1.2.11/simStateSpace/man/SpectralRadius.Rd |only simStateSpace-1.2.11/simStateSpace/man/TestPhi.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/TestPhiHurwitz.Rd |only simStateSpace-1.2.11/simStateSpace/man/TestStability.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/TestStationarity.Rd | 21 simStateSpace-1.2.11/simStateSpace/man/as.data.frame.simstatespace.Rd | 9 simStateSpace-1.2.11/simStateSpace/man/as.matrix.simstatespace.Rd | 9 simStateSpace-1.2.11/simStateSpace/man/plot.simstatespace.Rd | 18 simStateSpace-1.2.11/simStateSpace/src/Makevars | 2 simStateSpace-1.2.11/simStateSpace/src/Makevars.win | 2 simStateSpace-1.2.11/simStateSpace/src/RcppExports.cpp | 311 ++ simStateSpace-1.2.11/simStateSpace/src/source.cpp | 1122 +++++++++- simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-lin-sde-cov-eta.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-lin-sde-cov-y.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-lin-sde-mean-eta.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-lin-sde-mean-y.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-project-to-hurwitz.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-project-to-stability.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-alpha-n.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-beta-n-2.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-beta-n.R | 79 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-cov-diag-n.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-cov-n.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-iota-n.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-nu-n.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-phi-n-2.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-phi-n.R | 62 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-fixed.R | 22 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-i-vary.R | 22 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-lin-growth-i-vary.R | 27 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-lin-growth.R | 24 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-lin-sde-fixed.R | 29 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-lin-sde-i-vary.R | 28 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-ou-fixed.R | 22 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-ou-i-vary.R | 22 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-var-fixed.R | 17 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-sim-ssm-var-i-vary.R | 17 simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-spectral-abscissa.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-spectral-radius.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-ssm-cov-eta.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-ssm-cov-y.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-ssm-mean-eta.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-ssm-mean-y.R |only simStateSpace-1.2.11/simStateSpace/tests/testthat/test-simStateSpace-tests.R | 29 99 files changed, 2926 insertions(+), 205 deletions(-)
Title: A Swiss-Army Knife for Data I/O
Description: Streamlined data import and export by making assumptions that
the user is probably willing to make: 'import()' and 'export()' determine
the data format from the file extension, reasonable defaults are used for
data import and export, web-based import is natively supported (including
from SSL/HTTPS), compressed files can be read directly, and fast import
packages are used where appropriate. An additional convenience function,
'convert()', provides a simple method for converting between file types.
Author: Jason Becker [aut],
Chung-hong Chan [aut, cre] ,
David Schoch [aut] ,
Geoffrey CH Chan [ctb],
Thomas J. Leeper [aut] ,
Christopher Gandrud [ctb],
Andrew MacDonald [ctb],
Ista Zahn [ctb],
Stanislaus Stadlmann [ctb],
Ruaridh Williamson [ctb],
Patrick K [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>
Diff between rio versions 1.2.3 dated 2024-09-25 and 1.2.4 dated 2025-09-26
DESCRIPTION | 28 +++---- MD5 | 44 ++++++----- NAMESPACE | 3 NEWS.md | 10 ++ R/export.R | 5 - R/export_methods.R | 6 + R/extensions.R | 6 - R/import.R | 3 R/import_list.R | 21 ++++- R/import_methods.R | 9 ++ R/sysdata.rda |binary R/utils.R | 8 -- README.md | 143 +++++++++++++++++++------------------- build/vignette.rds |binary inst/doc/labelled.html | 22 ++--- inst/doc/rio.html | 94 ++++++++++++++---------- man/export.Rd | 1 man/import.Rd | 1 man/rio.Rd | 1 tests/testdata/example.xlsm |only tests/testthat/test_extensions.R | 21 +++-- tests/testthat/test_format_qs2.R |only tests/testthat/test_format_xls.R | 27 +++++++ tests/testthat/test_import_list.R | 33 ++++++++ 24 files changed, 305 insertions(+), 181 deletions(-)
Title: Partial Least Squares Path Modeling (PLS-PM)
Description: Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi, Chatelin, Lauro (2005) <doi:10.1016/j.csda.2004.03.005>,
analysis for both metric and non-metric data, as well as REBUS analysis, Esposito Vinzi, Trinchera, Squillacciotti, and Tenenhaus (2008) <doi:10.1002/asmb.728>.
Author: Gaston Sanchez [aut],
Laura Trinchera [aut],
Giorgio Russolillo [aut],
Frederic Bertrand [cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Diff between plspm versions 0.5.2 dated 2025-08-18 and 0.6.0 dated 2025-09-26
DESCRIPTION | 38 +++++++------ MD5 | 53 ++++++++++-------- NAMESPACE | 36 ++++++++---- NEWS | 29 +++++++++- R/check_arguments.R | 6 +- R/check_specifications.R | 4 - R/plot.plspm.R | 3 - R/plspm-package.R | 41 +++++++++----- R/plspm.R | 2 R/plspm.groups.R | 2 R/print.rebus.R | 2 R/rebus.test.R | 2 R/summary_plspm.R | 4 - README.md |only build/partial.rdb |only inst/CITATION |only inst/_pkgdown.yml |only inst/doc/plspm_introduction.R | 50 ++++++++++++++++- inst/doc/plspm_introduction.Rnw | 94 +++++++++++++++++++++++++++++++-- inst/doc/plspm_introduction.pdf |binary man/plspm-package.Rd |only man/plspm.Rd | 1 tests/testthat/test-check-blocks.r | 20 +++---- tests/testthat/test-check-data.r | 20 +++---- tests/testthat/test-check-modes.r | 24 +++----- tests/testthat/test-check-path.r | 8 +- tests/testthat/test-check-scheme.r | 38 ++++++------- tests/testthat/test-get-metric.r | 8 +- tests/testthat/test-manifest-scaling.r | 13 ++-- vignettes/plspm_introduction.Rnw | 94 +++++++++++++++++++++++++++++++-- 30 files changed, 426 insertions(+), 166 deletions(-)
Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use
in photobiology and radiation meteorology and climatology. Calculation of
effective (weighted) and not-weighted irradiances/doses, fluence rates,
transmittance, reflectance, absorptance, absorbance and diverse ratios and
other derived quantities from spectral data. Local maxima and minima: peaks,
valleys and spikes. Conversion between energy-and photon-based units.
Wavelength interpolation. Colours and vision. This package is part of the
'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] ,
Titta K. Kotilainen [ctb] ,
Glenn Davis [ctb],
Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>
Diff between photobiology versions 0.13.2 dated 2025-07-31 and 0.14.0 dated 2025-09-26
DESCRIPTION | 14 MD5 | 138 ++++----- NAMESPACE | 1 NEWS.md | 39 ++ R/insert.hinges.r | 52 +++ R/interpolate.spectrum.r | 64 ++-- R/make-var-labels.R | 11 R/mspct.quantile.r | 23 + R/mspct.row.funs.r | 2 R/rbindspct.r | 46 +-- R/spct-conversion-qty-unit.R | 434 +++++++++++++--------------- R/spct.classes.r | 11 R/spct.clean.r | 13 R/spct.integrate.r | 46 +-- R/spct.irrad.r | 4 R/spct.metadata.r | 440 +++++++++++++++++++---------- R/spct.new.r | 83 +++++ R/spct.normalize.r | 104 +++++- R/spct.peaks.r | 37 +- R/spct.spikes.R | 32 +- R/spct.summaries.r | 57 ++- R/spct.trim.r | 16 - R/spct.utils.r | 42 +- R/trim.waveband.r | 34 +- R/zmspct.classes.R | 57 +++ README.md | 32 +- data/A.illuminant.spct.rda |binary data/D2-FEL-constants.rda |binary data/D50.illuminant.spct.rda |binary data/D65.illuminant.spct.rda |binary data/Ler-leaf-spct.rda |binary data/beesxyz.spct.rda |binary data/black_body.spct.rda |binary data/ciev10.spct.rda |binary data/ciev2.spct.rda |binary data/ciexyzCC10.spct.rda |binary data/ciexyzCC2.spct.rda |binary data/ciexyzCMF10.spct.rda |binary data/ciexyzCMF2.spct.rda |binary data/clear_body.spct.rda |binary data/cone_fundamentals10.spct.rda |binary data/filter-cps-mspct.rda |binary data/filter-data.rda |binary data/green_leaf.spct.rda |binary data/r4p-pkgs.rda |binary data/response-data.rda |binary data/solutes.rda |binary data/sun.data.rda |binary data/white-led-spct.rda |binary data/white_body.spct.rda |binary inst/doc/userguide-0-r4p-introduction.html | 7 inst/doc/userguide-1-radiation.Rmd | 7 inst/doc/userguide-1-radiation.html | 66 +++- man/add_attr2tb.Rd | 23 + man/as.generic_spct.Rd | 10 man/as.response_spct.Rd | 29 + man/check_wl_stepsize.Rd | 8 man/getWhereMeasured.Rd | 41 +- man/interpolate_spct.Rd | 39 +- man/interpolate_spectrum.Rd | 33 +- man/interpolate_wl.Rd | 46 ++- man/normalize.Rd | 47 +-- man/print.generic_spct.Rd | 19 + man/s_quantile.Rd | 11 man/setWhereMeasured.Rd | 77 ++++- man/spct_metadata.Rd | 9 man/thin_wl.Rd | 60 +-- man/trim_waveband.Rd | 10 man/v_replace_hinges.Rd | 38 ++ vignettes/userguide-1-radiation.Rmd | 7 70 files changed, 1590 insertions(+), 829 deletions(-)
Title: Nonlinear Nonparametric Statistics
Description: NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental elements of variance that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. NNS delivers a comprehensive suite of advanced statistical techniques, including: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre],
Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>
Diff between NNS versions 11.5 dated 2025-08-20 and 11.6 dated 2025-09-26
NNS-11.5/NNS/R/Internal_Functions.R |only NNS-11.6/NNS/DESCRIPTION | 8 NNS-11.6/NNS/MD5 | 147 +- NNS-11.6/NNS/R/ANOVA.R | 208 ++-- NNS-11.6/NNS/R/ARMA.R | 7 NNS-11.6/NNS/R/ARMA_optim.R | 15 NNS-11.6/NNS/R/Boost.R | 392 +++---- NNS-11.6/NNS/R/Central_tendencies.R | 7 NNS-11.6/NNS/R/Copula.R | 38 NNS-11.6/NNS/R/Dependence.R | 28 NNS-11.6/NNS/R/FSD.R | 2 NNS-11.6/NNS/R/NNS_Distance.R | 104 -- NNS-11.6/NNS/R/NNS_Distance_bulk.R |only NNS-11.6/NNS/R/NNS_VAR.R | 239 +++- NNS-11.6/NNS/R/NNS_meboot.R | 300 ++--- NNS-11.6/NNS/R/Normalization.R | 4 NNS-11.6/NNS/R/Partition_Map.R | 129 -- NNS-11.6/NNS/R/RcppExports.R | 68 + NNS-11.6/NNS/R/Regression.R | 134 +- NNS-11.6/NNS/R/SSD.R | 2 NNS-11.6/NNS/R/Seasonality_Test.R | 2 NNS-11.6/NNS/R/Stack.R | 506 ++++++---- NNS-11.6/NNS/R/TSD.R | 2 NNS-11.6/NNS/R/Uni_Causation.R | 10 NNS-11.6/NNS/R/Uni_SD_Routines.R | 6 NNS-11.6/NNS/R/dy_d_wrt.R | 2 NNS-11.6/NNS/R/dy_dx.R | 2 NNS-11.6/NNS/R/gvload.R | 3 NNS-11.6/NNS/README.md | 4 NNS-11.6/NNS/inst/doc/NNSvignette_Classification.R | 139 +- NNS-11.6/NNS/inst/doc/NNSvignette_Classification.Rmd | 21 NNS-11.6/NNS/inst/doc/NNSvignette_Classification.html | 87 - NNS-11.6/NNS/inst/doc/NNSvignette_Clustering_and_Regression.R | 212 +++- NNS-11.6/NNS/inst/doc/NNSvignette_Clustering_and_Regression.Rmd | 153 ++- NNS-11.6/NNS/inst/doc/NNSvignette_Clustering_and_Regression.html | 318 ++++-- NNS-11.6/NNS/inst/doc/NNSvignette_Comparing_Distributions.R | 3 NNS-11.6/NNS/inst/doc/NNSvignette_Comparing_Distributions.Rmd | 3 NNS-11.6/NNS/inst/doc/NNSvignette_Comparing_Distributions.html | 31 NNS-11.6/NNS/inst/doc/NNSvignette_Correlation_and_Dependence.R | 5 NNS-11.6/NNS/inst/doc/NNSvignette_Correlation_and_Dependence.Rmd | 5 NNS-11.6/NNS/inst/doc/NNSvignette_Correlation_and_Dependence.html | 15 NNS-11.6/NNS/inst/doc/NNSvignette_Forecasting.R | 174 +-- NNS-11.6/NNS/inst/doc/NNSvignette_Forecasting.Rmd | 48 NNS-11.6/NNS/inst/doc/NNSvignette_Forecasting.html | 109 +- NNS-11.6/NNS/inst/doc/NNSvignette_Overview.R | 77 - NNS-11.6/NNS/inst/doc/NNSvignette_Overview.Rmd | 68 + NNS-11.6/NNS/inst/doc/NNSvignette_Overview.html | 136 +- NNS-11.6/NNS/inst/doc/NNSvignette_Partial_Moments.R | 5 NNS-11.6/NNS/inst/doc/NNSvignette_Partial_Moments.Rmd | 5 NNS-11.6/NNS/inst/doc/NNSvignette_Partial_Moments.html | 9 NNS-11.6/NNS/inst/doc/NNSvignette_Sampling.R | 411 ++++---- NNS-11.6/NNS/inst/doc/NNSvignette_Sampling.Rmd | 15 NNS-11.6/NNS/inst/doc/NNSvignette_Sampling.html | 23 NNS-11.6/NNS/man/NNS.boost.Rd | 2 NNS-11.6/NNS/man/NNS.distance.Rd | 2 NNS-11.6/NNS/man/NNS.meboot.Rd | 2 NNS-11.6/NNS/man/NNS.reg.Rd | 372 +++---- NNS-11.6/NNS/man/NNS.stack.Rd | 9 NNS-11.6/NNS/src/NNS_distance.cpp |only NNS-11.6/NNS/src/NNS_part.cpp |only NNS-11.6/NNS/src/RcppExports.cpp | 246 ++++ NNS-11.6/NNS/src/SD.cpp | 43 NNS-11.6/NNS/src/central_tendencies.cpp | 57 - NNS-11.6/NNS/src/fast_lm.cpp | 5 NNS-11.6/NNS/src/internal_functions.cpp |only NNS-11.6/NNS/tests/testthat/Rplots.pdf |binary NNS-11.6/NNS/vignettes/NNSvignette_Classification.Rmd | 21 NNS-11.6/NNS/vignettes/NNSvignette_Clustering_and_Regression.Rmd | 153 ++- NNS-11.6/NNS/vignettes/NNSvignette_Comparing_Distributions.Rmd | 3 NNS-11.6/NNS/vignettes/NNSvignette_Correlation_and_Dependence.Rmd | 5 NNS-11.6/NNS/vignettes/NNSvignette_Forecasting.Rmd | 48 NNS-11.6/NNS/vignettes/NNSvignette_Overview.Rmd | 68 + NNS-11.6/NNS/vignettes/NNSvignette_Partial_Moments.Rmd | 5 NNS-11.6/NNS/vignettes/NNSvignette_Sampling.Rmd | 15 NNS-11.6/NNS/vignettes/images/NNSmc_1_tgt_drift.png |binary NNS-11.6/NNS/vignettes/images/multi_impute.png |only NNS-11.6/NNS/vignettes/images/overview_arma.png |only NNS-11.6/NNS/vignettes/images/overview_reg.png |only NNS-11.6/NNS/vignettes/images/uni_impute.png |only 79 files changed, 3312 insertions(+), 2185 deletions(-)
Title: Utilities for Working with NEON Data
Description: NEON data packages can be accessed through the NEON Data Portal <https://www.neonscience.org>
or through the NEON Data API (see <https://data.neonscience.org/data-api> for documentation). Data delivered from
the Data Portal are provided as monthly zip files packaged within a parent zip file, while individual files
can be accessed from the API. This package provides tools that aid in discovering, downloading, and reformatting
data prior to use in analyses. This includes downloading data via the API, merging data tables by type, and
converting formats. For more information, see the readme file at <https://github.com/NEONScience/NEON-utilities>.
Author: Claire Lunch [aut, cre, ctb],
Christine Laney [aut, ctb],
Nathan Mietkiewicz [aut, ctb],
Eric Sokol [aut, ctb],
Kaelin Cawley [aut, ctb],
NEON [aut]
Maintainer: Claire Lunch <clunch@battelleecology.org>
Diff between neonUtilities versions 3.0.1 dated 2025-08-28 and 3.0.2 dated 2025-09-26
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS.md | 12 ++++++++++++ R/datasetQuery.R | 9 ++++++++- R/stackDataFilesArrow.R | 10 +++++----- README.md | 8 ++++++++ 6 files changed, 42 insertions(+), 15 deletions(-)
Title: A Collection of Graphon Estimation Methods
Description: Provides a not-so-comprehensive list of methods for estimating graphon,
a symmetric measurable function, from a single or multiple of observed networks.
For a detailed introduction on graphon and popular estimation techniques,
see the paper by Orbanz, P. and Roy, D.M.(2014) <doi:10.1109/TPAMI.2014.2334607>.
It also contains several auxiliary functions for generating sample networks
using various network models and graphons.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>
Diff between graphon versions 0.3.5 dated 2021-08-13 and 0.3.6 dated 2025-09-26
graphon-0.3.5/graphon/man/graphon-package.Rd |only graphon-0.3.6/graphon/DESCRIPTION | 14 +++++++------- graphon-0.3.6/graphon/MD5 | 11 +++++------ graphon-0.3.6/graphon/R/graphon-package.R | 3 +-- graphon-0.3.6/graphon/R/init.R | 2 +- graphon-0.3.6/graphon/README.md | 4 +--- graphon-0.3.6/graphon/build/partial.rdb |binary 7 files changed, 15 insertions(+), 19 deletions(-)
Title: Causal Effect Identification from Multiple Incomplete Data
Sources
Description: Identification of causal effects from arbitrary observational and
experimental probability distributions via do-calculus and standard
probability manipulations using a search-based algorithm by
Tikka, Hyttinen and Karvanen (2021) <doi:10.18637/jss.v099.i05>.
Allows for the presence of mechanisms related to selection bias
(Bareinboim and Tian, 2015) <doi:10.1609/aaai.v29i1.9679>,
transportability (Bareinboim and Pearl, 2014)
<http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>,
missing data (Mohan, Pearl, and Tian, 2013)
<http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations
of these. Also supports identification in the presence of context-specific
independence (CSI) relations through labeled directed acyclic graphs
(LDAG). For details on CSIs see (Corander et al., 2019)
<doi:10.1016/j.apal.2019.04.004>.
Author: Santtu Tikka [aut, cre] ,
Antti Hyttinen [ctb] ,
Juha Karvanen [ctb]
Maintainer: Santtu Tikka <santtuth@gmail.com>
Diff between dosearch versions 1.0.11 dated 2024-07-16 and 1.0.12 dated 2025-09-26
dosearch-1.0.11/dosearch/R/srr-stats-standards.R |only dosearch-1.0.12/dosearch/DESCRIPTION | 15 +++-- dosearch-1.0.12/dosearch/MD5 | 35 ++++++------- dosearch-1.0.12/dosearch/NEWS.md | 4 + dosearch-1.0.12/dosearch/R/dosearch-package.R | 38 --------------- dosearch-1.0.12/dosearch/R/dosearch.R | 33 ------------- dosearch-1.0.12/dosearch/R/internal.R | 13 ++--- dosearch-1.0.12/dosearch/R/internal_dag.R | 6 -- dosearch-1.0.12/dosearch/R/internal_ldag.R | 6 -- dosearch-1.0.12/dosearch/build/vignette.rds |binary dosearch-1.0.12/dosearch/inst/CITATION | 29 +++++++---- dosearch-1.0.12/dosearch/inst/doc/dosearch.R | 12 ++-- dosearch-1.0.12/dosearch/inst/doc/dosearch.Rmd | 2 dosearch-1.0.12/dosearch/inst/doc/dosearch.html | 2 dosearch-1.0.12/dosearch/man/dosearch.Rd | 3 - dosearch-1.0.12/dosearch/tests/testthat.R | 20 ------- dosearch-1.0.12/dosearch/tests/testthat/test-errors.R | 2 dosearch-1.0.12/dosearch/tests/testthat/test-interface.R | 4 - dosearch-1.0.12/dosearch/vignettes/dosearch.Rmd | 2 19 files changed, 69 insertions(+), 157 deletions(-)
Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris [aut],
Timo Bechger [aut],
Jesse Koops [aut, cre],
Ivailo Partchev [aut]
Maintainer: Jesse Koops <jesse.koops@cito.nl>
Diff between dexter versions 1.6.2 dated 2025-06-10 and 1.7.0 dated 2025-09-26
DESCRIPTION | 10 - MD5 | 75 ++++---- NAMESPACE | 4 NEWS.md | 10 + R/RcppExports.R | 4 R/ability.R | 4 R/database.R | 12 + R/dexter.R | 2 R/dif.R | 19 ++ R/equating.R | 8 R/fit_enorm.R | 19 +- R/individual_differences.R | 25 -- R/interaction_model.R | 10 - R/latent_cor.R | 260 ++++++++++++++++++++++-------- R/misc.R | 34 +++ R/misc_anon.R | 2 R/oplike.R | 74 ++++---- R/plausible_values.R | 7 R/plots.R | 8 R/suf_stats.R | 19 +- R/theta_functions.R | 2 R/tia.R | 33 ++- build/vignette.rds |binary inst/doc/DIF_vignette.html | 15 - inst/doc/Equating.html | 25 +- inst/doc/Plausible_Values.html | 21 +- inst/doc/Test_Individual_differences.html | 19 +- inst/doc/dexter.html | 85 +++++---- inst/doc/profile-plots.html | 20 +- man/coef.latent_cor.Rd |only man/latent_cor.Rd | 21 +- man/start_new_project_from_oplm.Rd | 12 - man/tia_tables.Rd | 7 src/RcppExports.cpp | 13 - src/ability.cpp | 16 + src/data.cpp | 28 ++- src/pv.cpp | 39 +++- tests/testthat/test_database.R | 1 tests/testthat/test_tia.R | 2 39 files changed, 626 insertions(+), 339 deletions(-)
Title: Spatiotemporal Boundary Detection Model for Areal Unit Data
Description: Implements a spatiotemporal boundary detection model with a dissimilarity
metric for areal data with inference in a Bayesian setting using Markov chain
Monte Carlo (MCMC). The response variable can be modeled as Gaussian (no nugget),
probit or Tobit link and spatial correlation is introduced at each time point
through a conditional autoregressive (CAR) prior. Temporal correlation is introduced
through a hierarchical structure and can be specified as exponential or first-order
autoregressive. Full details of the package can be found in the accompanying vignette.
Furthermore, the details of the package can be found in "Diagnosing Glaucoma
Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method",
by Berchuck et al (2019) <doi:10.1080/01621459.2018.1537911>.
Author: Samuel I. Berchuck [aut, cre]
Maintainer: Samuel I. Berchuck <sib2@duke.edu>
Diff between womblR versions 1.0.5 dated 2022-09-05 and 1.0.6 dated 2025-09-26
DESCRIPTION | 16 +- MD5 | 14 - R/womblR-package.R | 3 build/vignette.rds |binary inst/doc/womblR-example.R | 28 +-- inst/doc/womblR-example.html | 313 +++++++++++++++++++++---------------------- man/womblR.Rd | 1 src/MCMC_Samplers.cpp | 19 +- 8 files changed, 203 insertions(+), 191 deletions(-)
Title: Tools to Create Formal Language Parser
Description: R implementation of the common parsing tools 'lex' and 'yacc'.
Author: Marek Jagielski [aut, cre, cph],
David M. Beazley [aut, cph],
Yasutaka Tanaka [ctb],
Henrico Witvliet [ctb]
Maintainer: Marek Jagielski <marek.jagielski@gmail.com>
Diff between rly versions 1.7.4 dated 2022-05-08 and 1.7.7 dated 2025-09-26
DESCRIPTION | 8 MD5 | 26 - R/lex.R | 6 R/logger.R | 4 R/yacc.R | 16 build/vignette.rds |binary inst/doc/intro-to-rly.R | 2 inst/doc/intro-to-rly.html | 938 +++++++++++++++++++++++---------------------- man/LRParser.Rd | 2 man/LexToken.Rd | 2 man/Lexer.Rd | 2 man/NullLogger.Rd | 2 man/RlyLogger.Rd | 2 man/YaccProduction.Rd | 2 14 files changed, 522 insertions(+), 490 deletions(-)
Title: Creates Co-Occurrence Matrices of Spatial Data
Description: Builds co-occurrence matrices based on spatial raster data.
It includes creation of weighted co-occurrence matrices (wecoma) and
integrated co-occurrence matrices
(incoma; Vadivel et al. (2007) <doi:10.1016/j.patrec.2007.01.004>).
Author: Jakub Nowosad [aut, cre] ,
Maximillian H.K. Hesselbarth [ctb] , get_unique_values, and rcpp_get_coma
functions),
Marco Sciaini [ctb] , get_unique_values, and rcpp_get_coma
functions),
Sebastian Hanss [ctb] , get_unique_values, and rcpp_get_coma
funct [...truncated...]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Diff between comat versions 0.9.5 dated 2023-11-28 and 0.9.6 dated 2025-09-26
DESCRIPTION | 11 ++++++----- MD5 | 18 +++++++++--------- NEWS.md | 6 +++++- build/partial.rdb |binary build/vignette.rds |binary inst/doc/coma.html | 7 ++++--- inst/doc/incoma.html | 9 +++++---- inst/doc/wecoma.html | 9 +++++---- src/create_neighborhood.cpp | 5 +++++ src/rcpp_get_wecoma.cpp | 4 ++-- 10 files changed, 41 insertions(+), 28 deletions(-)
Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Algorithms for automatically finding appropriate thresholds
for numerical data, with special functions for thresholding images.
Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R
users. See <https://imagej.net/plugins/auto-threshold> and Landini et
al. (2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl] ,
Luis Alvarez [ctb] ,
Sergi Padilla-Parra [ctb, ths] ,
Gabriel Landini [ctb, cph]
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between autothresholdr versions 1.4.2 dated 2023-12-13 and 1.4.3 dated 2025-09-26
DESCRIPTION | 24 ++++++----- MD5 | 18 ++++---- NEWS.md | 6 ++ build/vignette.rds |binary inst/doc/finding-thresholds.R | 2 inst/doc/finding-thresholds.Rmd | 2 inst/doc/finding-thresholds.html | 65 +++++++++++++++----------------- inst/doc/thresholding-image-stacks.html | 36 +++++++---------- inst/doc/thresholding-images.html | 24 +++++------ vignettes/finding-thresholds.Rmd | 2 10 files changed, 90 insertions(+), 89 deletions(-)
More information about autothresholdr at CRAN
Permanent link
Title: Post-Processing of Markov Chain Monte Carlo Simulations for
Chronological Modelling
Description: Statistical analysis of archaeological dates and groups of
dates. This package allows to post-process Markov Chain Monte Carlo
(MCMC) simulations from 'ChronoModel' <https://chronomodel.com/>,
'Oxcal' <https://c14.arch.ox.ac.uk/oxcal.html> or 'BCal'
<https://bcal.shef.ac.uk/>. It provides functions for the study of
rhythms of the long term from the posterior distribution of a series
of dates (tempo and activity plot). It also allows the estimation and
visualization of time ranges from the posterior distribution of groups
of dates (e.g. duration, transition and hiatus between successive
phases) as described in Philippe and Vibet (2020)
<doi:10.18637/jss.v093.c01>.
Author: Anne Philippe [aut, cre] ,
Marie-Anne Vibet [aut] ,
Nicolas Frerebeau [aut] ,
Thomas S. Dye [ctb] ,
Nantes Universite [fnd] ,
Universite Bordeaux Montaigne [fnd] ,
CNRS [fnd]
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>
Diff between ArchaeoPhases versions 2.0 dated 2024-06-16 and 2.1.0 dated 2025-09-26
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ArchaeoPhases-2.1.0/ArchaeoPhases/R/depth.R | 4 ArchaeoPhases-2.1.0/ArchaeoPhases/R/hiatus.R | 31 - ArchaeoPhases-2.1.0/ArchaeoPhases/R/interval.R | 4 ArchaeoPhases-2.1.0/ArchaeoPhases/R/occurrence.R | 5 ArchaeoPhases-2.1.0/ArchaeoPhases/R/phases.R | 27 ArchaeoPhases-2.1.0/ArchaeoPhases/R/plot.R | 95 --- ArchaeoPhases-2.1.0/ArchaeoPhases/R/read.R | 8 ArchaeoPhases-2.1.0/ArchaeoPhases/R/show.R | 8 ArchaeoPhases-2.1.0/ArchaeoPhases/R/summary.R | 6 ArchaeoPhases-2.1.0/ArchaeoPhases/R/transition.R | 18 ArchaeoPhases-2.1.0/ArchaeoPhases/R/validate.R | 25 ArchaeoPhases-2.1.0/ArchaeoPhases/R/zzz.R | 7 ArchaeoPhases-2.1.0/ArchaeoPhases/README.md | 174 +++++ ArchaeoPhases-2.1.0/ArchaeoPhases/build/partial.rdb |binary ArchaeoPhases-2.1.0/ArchaeoPhases/build/vignette.rds |binary ArchaeoPhases-2.1.0/ArchaeoPhases/inst/CITATION | 4 ArchaeoPhases-2.1.0/ArchaeoPhases/inst/doc/ArchaeoPhases.Rmd | 76 +- ArchaeoPhases-2.1.0/ArchaeoPhases/inst/doc/ArchaeoPhases.html | 77 +- ArchaeoPhases-2.1.0/ArchaeoPhases/inst/doc/allen.Rmd | 85 +- ArchaeoPhases-2.1.0/ArchaeoPhases/inst/doc/allen.html | 101 +-- ArchaeoPhases-2.1.0/ArchaeoPhases/inst/doc/import.Rmd | 59 + ArchaeoPhases-2.1.0/ArchaeoPhases/inst/doc/import.html | 104 +-- ArchaeoPhases-2.1.0/ArchaeoPhases/inst/examples/ex-phases.R | 10 ArchaeoPhases-2.1.0/ArchaeoPhases/inst/examples/ex-read_bcal.R | 4 ArchaeoPhases-2.1.0/ArchaeoPhases/inst/examples/ex-read_chronomodel.R | 12 ArchaeoPhases-2.1.0/ArchaeoPhases/inst/examples/ex-read_oxcal.R | 7 ArchaeoPhases-2.1.0/ArchaeoPhases/inst/examples/ex-tempo.R | 1 ArchaeoPhases-2.1.0/ArchaeoPhases/inst/po |only ArchaeoPhases-2.1.0/ArchaeoPhases/inst/tinytest/_snaps/events_hiatus.rds |binary ArchaeoPhases-2.1.0/ArchaeoPhases/inst/tinytest/_snaps/occurrence.rds |binary ArchaeoPhases-2.1.0/ArchaeoPhases/inst/tinytest/_snaps/phases_boundaries.rds |binary ArchaeoPhases-2.1.0/ArchaeoPhases/inst/tinytest/_snaps/phases_hiatus.rds |binary ArchaeoPhases-2.1.0/ArchaeoPhases/inst/tinytest/_snaps/phases_transition.rds |binary ArchaeoPhases-2.1.0/ArchaeoPhases/inst/tinytest/_tinysnapshot/plot_activity.svg | 28 ArchaeoPhases-2.1.0/ArchaeoPhases/inst/tinytest/_tinysnapshot/plot_event.svg | 36 - 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ArchaeoPhases-2.1.0/ArchaeoPhases/man/CumulativeEvents-class.Rd | 8 ArchaeoPhases-2.1.0/ArchaeoPhases/man/EventsMCMC-class.Rd | 2 ArchaeoPhases-2.1.0/ArchaeoPhases/man/MCMC-class.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/OccurrenceEvents-class.Rd | 20 ArchaeoPhases-2.1.0/ArchaeoPhases/man/PhasesMCMC-class.Rd | 4 ArchaeoPhases-2.1.0/ArchaeoPhases/man/TimeRange-class.Rd | 21 ArchaeoPhases-2.1.0/ArchaeoPhases/man/activity.Rd | 11 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_analyze.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_analyze_relations.Rd |only ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_complement.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_composition.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_converse.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_count.Rd |only ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_illustrate.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_illustrate_relations.Rd |only ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_intersect.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_joint_concurrency.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_observe.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_observe_frequency.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_plot.Rd |only ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_relate_intervals.Rd |only ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_relation.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_relation_code.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_table.Rd |only ArchaeoPhases-2.1.0/ArchaeoPhases/man/allen_union.Rd | 3 ArchaeoPhases-2.1.0/ArchaeoPhases/man/as_events.Rd | 4 ArchaeoPhases-2.1.0/ArchaeoPhases/man/as_phases.Rd | 18 ArchaeoPhases-2.1.0/ArchaeoPhases/man/bury.Rd | 14 ArchaeoPhases-2.1.0/ArchaeoPhases/man/data.frame.Rd | 12 ArchaeoPhases-2.1.0/ArchaeoPhases/man/figures/README-events-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/man/figures/README-events-plot-2.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/man/figures/README-phases-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/man/figures/README-succession-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/man/figures/README-succession-plot-2.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/man/figures/README-tempo-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/man/figures/README-tempo-plot-2.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/man/interval_credible.Rd | 10 ArchaeoPhases-2.1.0/ArchaeoPhases/man/interval_hdr.Rd | 11 ArchaeoPhases-2.1.0/ArchaeoPhases/man/occurrence.Rd | 50 - ArchaeoPhases-2.1.0/ArchaeoPhases/man/phases.Rd | 10 ArchaeoPhases-2.1.0/ArchaeoPhases/man/plot_events.Rd | 6 ArchaeoPhases-2.1.0/ArchaeoPhases/man/plot_phases.Rd | 6 ArchaeoPhases-2.1.0/ArchaeoPhases/man/read_bcal.Rd | 32 - ArchaeoPhases-2.1.0/ArchaeoPhases/man/read_chronomodel.Rd | 49 - ArchaeoPhases-2.1.0/ArchaeoPhases/man/read_oxcal.Rd | 35 - ArchaeoPhases-2.1.0/ArchaeoPhases/man/summary.Rd | 8 ArchaeoPhases-2.1.0/ArchaeoPhases/man/tempo.Rd | 11 ArchaeoPhases-2.1.0/ArchaeoPhases/po |only ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/ArchaeoPhases.Rmd | 76 +- ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/ArchaeoPhases.Rmd.orig | 6 ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/allen.Rmd | 85 +- ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/allen.Rmd.orig | 54 - ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/activity-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/analyze_stratigraphy-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/basic_relations-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/bcal-phases-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/coda-autocor-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/coda-autocor-2.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/coda-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/event-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/identity_relation-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/illustrate_stratigraphy-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/occurrence-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/oxcal-phases-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/phases-1.png |only ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/phases-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/read-chronomodel-events-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/read-chronomodel-phases-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/read-oxcal-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/relation_and_converse-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/relation_and_converse-2.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/succession-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/figures/tempo-plot-1.png |binary ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/import.Rmd | 59 + ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/import.Rmd.orig | 43 - ArchaeoPhases-2.1.0/ArchaeoPhases/vignettes/precompile.R | 4 160 files changed, 1642 insertions(+), 1515 deletions(-)
Title: Projected Spatial Gaussian Process Methods
Description: Implements projected sparse Gaussian process Kriging ('Ingram et. al.', 2008, <doi:10.1007/s00477-007-0163-9>) as an additional method for the 'intamap' package. More details on implementation ('Barillec et. al.', 2010, <doi:10.1016/j.cageo.2010.05.008>).
Author: Ben Ingram [aut, cre] ,
Remi Barillec [aut],
Jon Olav Skoien [aut]
Maintainer: Ben Ingram <ingrambr.work@gmail.com>
Diff between psgp versions 0.3-23 dated 2025-07-17 and 0.3-24 dated 2025-09-26
ChangeLog | 3 +++ DESCRIPTION | 8 ++++---- MD5 | 6 +++--- src/PSGP.cpp | 12 ++++-------- 4 files changed, 14 insertions(+), 15 deletions(-)
Title: A Soil Survey Toolkit
Description: A collection of data processing, visualization, and export functions to support soil survey operations. Many of the functions build on the `SoilProfileCollection` S4 class provided by the aqp package, extending baseline visualization to more elaborate depictions in the context of spatial and taxonomic data. While this package is primarily developed by and for the USDA-NRCS, in support of the National Cooperative Soil Survey, the authors strive for generalization sufficient to support any soil survey operation. Many of the included functions are used by the SoilWeb suite of websites and movile applications. These functions are provided here, with additional documentation, to enable others to replicate high quality versions of these figures for their own purposes.
Author: Dylan Beaudette [cre, aut],
Jay Skovlin [aut],
Stephen Roecker [aut],
Andrew Brown [aut],
USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>
Diff between sharpshootR versions 2.3.3 dated 2025-04-17 and 2.4 dated 2025-09-26
DESCRIPTION | 6 - MD5 | 34 +++--- NAMESPACE | 2 NEWS.md | 12 ++ R/PLSS2LL.R | 176 +++++++++++++++++++++------------ R/huePositionPlot.R | 20 +-- R/samplingStability.R | 4 R/vizAnnualClimate.R | 4 build/vignette.rds |binary data/OSDexamples.rda |binary data/table5.2.rda |binary man/PLSS2LL.Rd | 10 - man/formatPLSS.Rd | 42 ++++--- man/huePositionPlot.Rd | 20 +-- man/vizAnnualClimate.Rd | 4 tests/testthat/Rplots.pdf |binary tests/testthat/test-PLSS2LL.R | 66 ++++++++++++ tests/testthat/test-vizAnnualClimate.R | 5 18 files changed, 274 insertions(+), 131 deletions(-)
Title: Analysis of Eye Data
Description: There is no ophthalmic researcher who has not had headaches from
the handling of visual acuity entries. Different notations, untidy entries.
This shall now be a matter of the past. Eye makes it as easy as pie to work
with VA data - easy cleaning, easy conversion between
Snellen, logMAR, ETDRS letters, and qualitative visual acuity
shall never pester you again. The eye
package automates the pesky task to count number of patients and eyes,
and can help to clean data with easy re-coding for right and left eyes.
It also contains functions to help reshaping eye side specific variables
between wide and long format. Visual acuity conversion is based on
Schulze-Bonsel et al. (2006) <doi:10.1167/iovs.05-0981>,
Gregori et al. (2010) <doi:10.1097/iae.0b013e3181d87e04>,
Beck et al. (2003) <doi:10.1016/s0002-9394(02)01825-1> and
Bach (2007) <https://michaelbach.de/sci/acuity.html>.
Author: Tjebo Heeren [aut, cre] ,
Antoine Fabri [ctb]
Maintainer: Tjebo Heeren <tjebo@gmx.de>
Diff between eye versions 1.2.1 dated 2021-09-04 and 1.3.0 dated 2025-09-26
eye-1.2.1/eye/build/partial.rdb |only eye-1.3.0/eye/DESCRIPTION | 27 eye-1.3.0/eye/MD5 | 68 - eye-1.3.0/eye/NAMESPACE | 6 eye-1.3.0/eye/NEWS.md | 33 eye-1.3.0/eye/R/eye.R | 2 eye-1.3.0/eye/R/reveal.R | 6 eye-1.3.0/eye/R/str_helper.R | 26 eye-1.3.0/eye/R/va.R | 145 +- eye-1.3.0/eye/R/va_cleaner.R | 64 - eye-1.3.0/eye/R/va_methods.R | 15 eye-1.3.0/eye/README.md | 215 ++- eye-1.3.0/eye/build/vignette.rds |binary eye-1.3.0/eye/inst/CITATION | 6 eye-1.3.0/eye/inst/doc/eye.R | 20 eye-1.3.0/eye/inst/doc/eye.Rmd | 27 eye-1.3.0/eye/inst/doc/eye.html | 1573 ++++++++++++++++++---------- eye-1.3.0/eye/man/VAwrapper.Rd | 2 eye-1.3.0/eye/man/clean_va.Rd | 7 eye-1.3.0/eye/man/convertQuali.Rd | 18 eye-1.3.0/eye/man/eye.Rd | 6 eye-1.3.0/eye/man/eye_codes.Rd | 2 eye-1.3.0/eye/man/plausibility_methods.Rd | 2 eye-1.3.0/eye/man/reveal_methods.Rd | 5 eye-1.3.0/eye/man/reveal_split.Rd | 4 eye-1.3.0/eye/man/set_eye_strings.Rd | 23 eye-1.3.0/eye/man/snellen_steps.Rd | 2 eye-1.3.0/eye/man/va.Rd | 80 - eye-1.3.0/eye/man/va_methods.Rd | 2 eye-1.3.0/eye/man/va_mixed.Rd | 25 eye-1.3.0/eye/man/which_va.Rd | 4 eye-1.3.0/eye/tests/testthat/test-eyes.R | 1 eye-1.3.0/eye/tests/testthat/test-reveal.R | 2 eye-1.3.0/eye/tests/testthat/test-va.R | 54 eye-1.3.0/eye/tests/testthat/test_cleanVA.r |only eye-1.3.0/eye/vignettes/eye.Rmd | 27 36 files changed, 1671 insertions(+), 828 deletions(-)
Title: 'rbi' Helper Functions
Description: Contains a collection of helper functions to use with 'rbi', the R
interface to 'LibBi', described in
Murray et al. (2015) <doi:10.18637/jss.v067.i10>. It contains functions to
adapt the proposal distribution and number of particles in
particle Markov-Chain Monte Carlo, as well as calculating the
Deviance Information Criterion (DIC) and converting between times in 'LibBi'
results and R time/dates.
Author: Sebastian Funk [aut, cre]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>
Diff between rbi.helpers versions 0.4.0 dated 2023-08-24 and 0.4.1 dated 2025-09-26
DESCRIPTION | 20 +++++++--- MD5 | 38 ++++++++++---------- NEWS.md | 4 ++ R/acceptance_rate.R | 6 +-- R/adapt_particles.R | 6 +-- R/adapt_proposal.R | 11 +++-- R/get_mvn_params.r | 4 +- R/times.r | 10 ++--- R/update_proposal.r | 6 +-- build/vignette.rds |binary inst/doc/rbi.helpers.R | 76 ++++++++++++++++++++--------------------- inst/doc/rbi.helpers.html | 1 man/acceptance_rate.Rd | 4 +- man/adapt_particles.Rd | 6 +-- man/adapt_proposal.Rd | 6 +-- man/get_mvn_params.Rd | 4 +- man/numeric_to_time.Rd | 2 - man/update_proposal.Rd | 4 +- tests/testthat/test-adapt.r | 4 -- tests/testthat/test-proposal.r | 2 - 20 files changed, 111 insertions(+), 103 deletions(-)
Title: Geographically Weighted Lasso
Description: Performs geographically weighted Lasso regressions. Find optimal bandwidth, fit a geographically weighted lasso or ridge regression, and make predictions.
These methods are specially well suited for ecological inferences. Bandwidth selection algorithm is from A. Comber and P. Harris (2018) <doi:10.1007/s10109-018-0280-7>.
Author: Matthieu Mulot [aut, cre, cph] ,
Sophie Erb [aut]
Maintainer: Matthieu Mulot <matthieu.mulot@gmail.com>
Diff between GWlasso versions 1.0.1 dated 2024-11-22 and 1.0.2 dated 2025-09-26
DESCRIPTION | 14 ++++---- MD5 | 11 +++--- NEWS.md | 6 +++ README.md | 11 +++++- inst/CITATION |only inst/doc/example_analysis.R | 68 ++++++++++++++++++++--------------------- inst/doc/example_analysis.html | 1 7 files changed, 63 insertions(+), 48 deletions(-)
Title: Fast Algorithm for Support Vector Machine
Description: Implements an efficient algorithm for fitting the entire regularization path of support vector machine models with elastic-net penalties using a generalized coordinate descent scheme. The framework also supports SCAD and MCP penalties. It is designed for high-dimensional datasets and emphasizes numerical accuracy and computational efficiency. This package implements the algorithms proposed in Tang, Q., Zhang, Y., & Wang, B. (2022) <https://openreview.net/pdf?id=RvwMTDYTOb>.
Author: Yikai Zhang [aut, cre],
Qian Tang [aut],
Boxiang Wang [aut]
Maintainer: Yikai Zhang <yikai-zhang@uiowa.edu>
Diff between hdsvm versions 1.0.1 dated 2025-02-11 and 1.0.2 dated 2025-09-26
DESCRIPTION | 10 +++++----- MD5 | 15 ++++++++------- R/cv.nc.hdsvm.R | 2 +- inst/CITATION |only inst/doc/hdsvm-vignette.Rmd | 7 ++++++- inst/doc/hdsvm-vignette.html | 9 +++++++-- man/cv.nc.hdsvm.Rd | 2 +- src/hdsvm_cd.f90 | 4 ++-- vignettes/hdsvm-vignette.Rmd | 7 ++++++- 9 files changed, 36 insertions(+), 20 deletions(-)
Title: A Flexible Model for Record Linkage
Description: Implementation of the Stochastic Expectation Maximisation (StEM) approach to Record Linkage described in the paper by K. Robach, S. L. van der Pas, M. A. van de Wiel and M. H. Hof (2024, <doi:10.1093/jrsssc/qlaf016>); see citation("FlexRL") for details. This is a record linkage method, for finding the common set of records among 2 data sources based on Partially Identifying Variables (PIVs) available in both sources. It includes modelling of dynamic Partially Identifying Variables (e.g. postal code) that may evolve over time and registration errors (missing values and mistakes in the registration). Low memory footprint.
Author: Kayane ROBACH [aut, cre, cph] ,
Michel H. HOF [aut, cph]
Maintainer: Kayane ROBACH <k.c.robach@amsterdamumc.nl>
Diff between FlexRL versions 0.1.0 dated 2024-12-09 and 0.1.1 dated 2025-09-26
DESCRIPTION | 20 + MD5 | 18 - NEWS.md | 2 R/FlexRecordLinkage.r | 75 ++++--- README.md | 14 + build/vignette.rds |binary inst/CITATION | 7 inst/doc/FlexRL-vignette.html | 422 ++++++++++++++++++++++++++++++++++++++---- man/loglikSurvival.Rd | 2 man/stEM.Rd | 4 10 files changed, 470 insertions(+), 94 deletions(-)
Title: Taxa Waterbeheer Nederland voor R
Description: The TWN-list (Taxa Waterbeheer Nederland) is the Dutch standard for naming
taxons in Dutch Watermanagement. This package makes it easier to use the
TWN-list for ecological analyses. It consists of two parts. First it makes the
TWN-list itself available in R. Second, it has a few functions that make it
easy to perform some basic and often recurring tasks for checking and consulting
taxonomic data from the TWN-list.
Author: Johan van Tent [aut, cre]
Maintainer: Johan van Tent <tentvanjohan@hotmail.com>
Diff between twn versions 0.2.5 dated 2024-11-11 and 0.2.6 dated 2025-09-26
DESCRIPTION | 10 MD5 | 42 +-- NAMESPACE | 6 NEWS.md | 174 ++++++++------- R/ZZ_package_description.R | 3 R/sysdata.rda |binary R/twn_info.R | 49 +++- R/twn_lijst_doc.R | 8 README.md | 24 +- build/vignette.rds |binary data/twn_lijst.rda |binary data/twn_literatuur.rda |binary data/twn_statuscodes.rda |binary data/twn_taxonlevels.rda |binary inst/doc/krw_beoordeling.R | 450 ++++++++++++++++++++--------------------- inst/doc/krw_beoordeling.html | 62 ++--- man/twn.Rd | 13 + man/twn_info.Rd | 39 ++- man/twn_lijst.Rd | 4 man/twn_literatuur.Rd | 2 man/twn_statuscodes.Rd | 3 tests/testthat/test-twn_info.R | 10 22 files changed, 493 insertions(+), 406 deletions(-)
Title: Root Mean Square Curvature Calculation
Description: Calculates the RMS intrinsic and parameter-effects curvatures of a nonlinear regression model. The curvatures are global measures of assessing whether a model/data set combination is close-to-linear or not. See Bates and Watts (1980) <doi:10.1002/9780470316757> and Ratkowsky and Reddy (2017) <doi:10.1093/aesa/saw098> for details.
Author: Peijian Shi [aut, cre],
Peter M. Ridland [aut],
David A. Ratkowsky [aut],
Yang Li [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>
Diff between IPEC versions 1.1.1 dated 2025-07-23 and 1.1.2 dated 2025-09-26
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- R/biasIPEC.R | 2 +- R/curvIPEC.R | 2 +- R/parinfo.R | 4 ++-- R/skewIPEC.R | 2 +- build/partial.rdb |binary man/biasIPEC.Rd | 2 +- man/curvIPEC.Rd | 2 +- man/parinfo.Rd | 4 +++- man/skewIPEC.Rd | 2 +- 11 files changed, 25 insertions(+), 23 deletions(-)
Title: Models of Decision Confidence and Measures of Metacognition
Description: Provides fitting functions and other tools for decision confidence
and metacognition researchers, including meta-d'/d', often considered to be
the gold standard to measure metacognitive efficiency, and information-theoretic measures of metacognition.
Also allows to fit and compare several static models of decision making and confidence.
Author: Manuel Rausch [aut, cre] ,
Sascha Meyen [aut] ,
Sebastian Hellmann [aut]
Maintainer: Manuel Rausch <manuel.rausch@ku.de>
Diff between statConfR versions 0.2.0 dated 2025-02-13 and 0.2.1 dated 2025-09-26
DESCRIPTION | 22 ++++--- MD5 | 23 ++++--- R/fitConf.R | 43 ++++++++++++-- R/fitConfModels.R | 40 +++++++++++-- R/int_fitCAS.R |only R/int_fitCEV.R | 5 + R/int_fitRCE.R |only R/int_llCASANDRE.R |only R/plotConfModelFit.R | 140 ++++++++++++++++++++++++++++++++++++++++++++++-- README.md | 25 ++++++-- inst/CITATION | 22 +++---- man/fitConf.Rd | 40 ++++++++++++- man/fitConfModels.Rd | 42 ++++++++++++-- man/plotConfModelFit.Rd | 2 14 files changed, 337 insertions(+), 67 deletions(-)
Title: Learning with Data on Riemannian Manifolds
Description: We provide a variety of algorithms for manifold-valued data, including Fréchet summaries, hypothesis testing, clustering, visualization, and other learning tasks. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> for general exposition to statistics on manifolds.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>
Diff between Riemann versions 0.1.4 dated 2022-02-28 and 0.1.6 dated 2025-09-26
Riemann-0.1.4/Riemann/build/vignette.rds |only Riemann-0.1.4/Riemann/inst/doc |only Riemann-0.1.4/Riemann/src/functions_07_learning.cpp |only Riemann-0.1.4/Riemann/vignettes |only Riemann-0.1.6/Riemann/DESCRIPTION | 20 +-- Riemann-0.1.6/Riemann/MD5 | 66 +++++----- Riemann-0.1.6/Riemann/NEWS.md | 6 Riemann-0.1.6/Riemann/R/RcppExports.R | 16 ++ Riemann-0.1.6/Riemann/R/auxiliary_checkers.R | 4 Riemann-0.1.6/Riemann/R/dist_splaplace.R | 51 ++++++- Riemann-0.1.6/Riemann/R/future_spd_selection_unsupervised.R |only Riemann-0.1.6/Riemann/R/package-Riemann.R | 5 Riemann-0.1.6/Riemann/R/spatial_GlobalGeary.R |only Riemann-0.1.6/Riemann/R/spatial_GlobalMoran.R |only Riemann-0.1.6/Riemann/R/zzz.R | 2 Riemann-0.1.6/Riemann/README.md | 14 +- Riemann-0.1.6/Riemann/build/partial.rdb |binary Riemann-0.1.6/Riemann/inst/REFERENCES.bib | 6 Riemann-0.1.6/Riemann/src/Makevars | 1 Riemann-0.1.6/Riemann/src/Makevars.win | 1 Riemann-0.1.6/Riemann/src/RcppExports.cpp | 61 +++++++++ Riemann-0.1.6/Riemann/src/auxiliary.cpp | 1 Riemann-0.1.6/Riemann/src/distribution_sphere.cpp | 1 Riemann-0.1.6/Riemann/src/functions_01_basic.cpp | 1 Riemann-0.1.6/Riemann/src/functions_02_inference.cpp | 1 Riemann-0.1.6/Riemann/src/functions_03_clustering.cpp | 1 Riemann-0.1.6/Riemann/src/functions_03_clustering_criteria.cpp | 1 Riemann-0.1.6/Riemann/src/functions_06_curve.cpp | 1 Riemann-0.1.6/Riemann/src/functions_07_spatial.cpp |only Riemann-0.1.6/Riemann/src/functions_08_learning.cpp |only Riemann-0.1.6/Riemann/src/functions_special_others.cpp | 1 Riemann-0.1.6/Riemann/src/functions_special_spd.cpp | 31 ++++ Riemann-0.1.6/Riemann/src/riemann_general.cpp | 1 Riemann-0.1.6/Riemann/src/riemann_general.h | 1 Riemann-0.1.6/Riemann/src/riemann_manifolds.h | 11 - Riemann-0.1.6/Riemann/src/riemann_src.cpp | 2 Riemann-0.1.6/Riemann/src/riemann_src.h | 1 Riemann-0.1.6/Riemann/tests |only 38 files changed, 228 insertions(+), 80 deletions(-)
Title: Discrete Event Simulation in R and C++, with Tools for
Cost-Effectiveness Analysis
Description: Discrete event simulation using both R and C++ (Karlsson et al 2016; <doi:10.1109/eScience.2016.7870915>). The C++ code is adapted from the SSIM library <https://www.inf.usi.ch/carzaniga/ssim/>, allowing for event-oriented simulation. The code includes a SummaryReport class for reporting events and costs by age and other covariates. The C++ code is available as a static library for linking to other packages. A priority queue implementation is given in C++ together with an S3 closure and a reference class implementation. Finally, some tools are provided for cost-effectiveness analysis.
Author: Mark Clements [aut, cre, cph],
Alexandra Jauhiainen [aut],
Andreas Karlsson [aut],
Antonio Carzaniga [cph],
University of Colorado [cph],
Pierre L'Ecuyer [cph]
Maintainer: Mark Clements <mark.clements@ki.se>
Diff between microsimulation versions 1.4.4 dated 2024-08-19 and 1.4.5 dated 2025-09-26
DESCRIPTION | 7 +- MD5 | 6 +- inst/include/microsimulation.h | 116 ++++++++++++++++++++++++++++++++++++++--- src/pqueue.cpp | 2 4 files changed, 117 insertions(+), 14 deletions(-)
More information about microsimulation at CRAN
Permanent link
Title: D-Score for Child Development
Description: The D-score summarizes the child's performance on a set of
milestones into a single number. The package implements four Rasch model
keys to convert milestone scores into a D-score. It provides tools to
calculate the D-score and its precision from the child's milestone scores,
to convert the D-score into the Development-for-Age Z-score (DAZ)
using age-conditional references, and to map milestone names into a
generic 9-position item naming convention.
Author: Stef van Buuren [cre, aut],
Iris Eekhout [aut],
Arjan Huizing [aut],
Jonathan Seiden [aut]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Diff between dscore versions 1.10.0 dated 2025-06-05 and 1.11.0 dated 2025-09-26
DESCRIPTION | 11 MD5 | 91 +++--- NAMESPACE | 2 NEWS.md | 42 ++ R/builtin_itemtable.R | 2 R/builtin_keys.R | 2 R/builtin_translate.R |only R/daz.R | 24 + R/decompose_itemnames.R | 4 R/dscore.R | 264 ++++++++++-------- R/get_age_equivalent.R | 26 + R/get_itemnames.R | 42 ++ R/get_itemtable.R | 7 R/get_labels.R | 8 R/get_mu.R | 25 + R/get_reference.R | 36 +- R/get_tau.R | 10 R/gsample.R | 12 R/import.R | 2 R/initialize.R | 4 R/internal.R | 67 +++- R/rename_gcdg_gsed.R | 93 +++++- R/rename_vector.R |only R/set_default.R | 15 - README.md | 9 data/builtin_itembank.rda |binary data/builtin_itemtable.rda |binary data/builtin_keys.rda |binary data/builtin_references.rda |binary data/builtin_translate.rda |only data/gsample.rda |binary data/sample_hf.rda |binary data/sample_lf.rda |binary data/sample_sf.rda |binary inst/doc/custom_priors.html | 5 inst/doc/getting_started.R | 94 ++++-- inst/doc/getting_started.Rmd | 246 +++++++++------- inst/doc/getting_started.html | 613 +++++++++++++++++++++++++++++++++--------- inst/doc/scoring_GSED.html | 317 ++++++++++----------- inst/doc/using_DAZ.html | 5 man/builtin_itemtable.Rd | 2 man/builtin_translate.Rd |only man/gsample.Rd | 5 man/rename_vector.Rd |only man/sample_sf.Rd | 5 src/dscore.cpp | 2 tests/testthat/test-dscore.R | 218 +++++++++++--- tests/testthat/test-prior.R | 2 vignettes/getting_started.Rmd | 246 +++++++++------- 49 files changed, 1719 insertions(+), 839 deletions(-)
Title: Spatial Extreme Value Analysis with the Hierarchical Model of
Reich and Shaby (2012)
Description: Several procedures for the hierarchical kernel extreme value process of Reich and Shaby (2012) <DOI:10.1214/12-AOAS591>, including simulation, estimation and spatial extrapolation. The spatial latent variable model <DOI:10.1214/11-STS376> is also included.
Author: Quentin Sebille [aut],
Leo Belzile [cre]
Maintainer: Leo Belzile <belzilel@gmail.com>
Diff between hkevp versions 1.1.5 dated 2023-04-18 and 1.1.6 dated 2025-09-26
DESCRIPTION | 21 ++++++++++---- MD5 | 8 ++--- R/hkevp.R | 85 +++++++++++++++++++++------------------------------------- man/hkevp.Rd | 8 +++++ src/hkevp.cpp | 46 +++++++++++++++---------------- 5 files changed, 81 insertions(+), 87 deletions(-)
Title: Inference and Prediction of Toxicokinetic Models
Description: Provides bioaccumulation factors from a toxicokinetic model
fitted to accumulation-depuration data. It is designed to fulfil the requirements
of regulators when examining applications for market authorization of active
substances.
Author: Virgile Baudrot [aut, cre],
Sandrine Charles [aut],
Ophelia Gestin [ctb],
Milena Kaag [aut],
Christelle Lopes [ctb],
Gauthier Multari [ctb],
Alain Pave [ctb],
Aude Ratier [aut],
Aurelie Siberchicot [aut]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>
This is a re-admission after prior archival of version 1.2.1 dated 2024-02-26
Diff between rbioacc versions 1.2.1 dated 2024-02-26 and 1.3.1 dated 2025-09-26
rbioacc-1.2.1/rbioacc/README.md |only rbioacc-1.3.1/rbioacc/DESCRIPTION | 17 rbioacc-1.3.1/rbioacc/MD5 | 59 - rbioacc-1.3.1/rbioacc/NAMESPACE | 1 rbioacc-1.3.1/rbioacc/R/bioacc_metric.R | 4 rbioacc-1.3.1/rbioacc/R/plot_PP.R | 8 rbioacc-1.3.1/rbioacc/R/plot_exposure.R | 2 rbioacc-1.3.1/rbioacc/R/plot_fit.R | 6 rbioacc-1.3.1/rbioacc/R/plot_predict.R | 10 rbioacc-1.3.1/rbioacc/R/ppc_fit.R | 16 rbioacc-1.3.1/rbioacc/R/zzz_internals.R | 15 rbioacc-1.3.1/rbioacc/build/vignette.rds |binary rbioacc-1.3.1/rbioacc/inst/WORDLIST |only rbioacc-1.3.1/rbioacc/inst/doc/MWE.R | 20 rbioacc-1.3.1/rbioacc/inst/doc/MWE.html | 1 rbioacc-1.3.1/rbioacc/inst/doc/Tutorial.R | 144 +-- rbioacc-1.3.1/rbioacc/inst/doc/Tutorial.html | 11 rbioacc-1.3.1/rbioacc/man/rmMessWarn.Rd |only rbioacc-1.3.1/rbioacc/src/stanExports_TK.h | 480 +++++----- rbioacc-1.3.1/rbioacc/src/stanExports_odeTK.h | 442 ++++----- rbioacc-1.3.1/rbioacc/tests/testthat/test-PP.R | 22 rbioacc-1.3.1/rbioacc/tests/testthat/test-correlation.R | 49 - rbioacc-1.3.1/rbioacc/tests/testthat/test-elim.R | 52 - rbioacc-1.3.1/rbioacc/tests/testthat/test-mcmcTraces.R | 12 rbioacc-1.3.1/rbioacc/tests/testthat/test-metric.R | 12 rbioacc-1.3.1/rbioacc/tests/testthat/test-ppc.R | 12 rbioacc-1.3.1/rbioacc/tests/testthat/test-predict.R | 159 ++- rbioacc-1.3.1/rbioacc/tests/testthat/test-predict_manual.R | 48 - rbioacc-1.3.1/rbioacc/tests/testthat/test-psrf.R | 8 rbioacc-1.3.1/rbioacc/tests/testthat/test-waic.R | 12 rbioacc-1.3.1/rbioacc/vignettes/Tutorial_files/figure-html/plotMGS-1.png |binary rbioacc-1.3.1/rbioacc/vignettes/Tutorial_files/figure-html/ppcMGS-1.png |binary 32 files changed, 858 insertions(+), 764 deletions(-)
Title: Optimization Frameworks for Tie-Oriented and Actor-Oriented
Relational Event Models
Description: A comprehensive set of tools designed for optimizing likelihood within a tie-oriented (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) or an actor-oriented modelling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>) in relational event networks. The package accommodates both frequentist and Bayesian approaches. The frequentist approaches that the package incorporates are the Maximum Likelihood Optimization (MLE) and the Gradient-based Optimization (GDADAMAX). The Bayesian methodologies included in the package are the Bayesian Sampling Importance Resampling (BSIR) and the Hamiltonian Monte Carlo (HMC). The flexibility of choosing between frequentist and Bayesian optimization approaches allows researchers to select the estimation approach which aligns the most with their analytical preferences.
Author: Giuseppe Arena [aut, cre] ,
Rumana Lakdawala [aut],
Fabio Generoso Vieira [aut],
Marlyne Meijerink-Bosman [ctb],
Diana Karimova [ctb],
Mahdi Shafiee Kamalabad [ctb],
Roger Leenders [ctb],
Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>
Diff between remstimate versions 2.3.13 dated 2025-01-29 and 2.3.14 dated 2025-09-26
DESCRIPTION | 11 +++++---- MD5 | 16 +++++++------- build/partial.rdb |binary build/vignette.rds |binary inst/doc/remstimate.R | 8 +++---- inst/doc/remstimate.Rmd | 10 ++++---- inst/doc/remstimate.html | 53 +++++++++++++++++++++-------------------------- src/remstimate.cpp | 4 +-- vignettes/remstimate.Rmd | 10 ++++---- 9 files changed, 54 insertions(+), 58 deletions(-)
Title: Monte Carlo for Classical Ising Model
Description: Classical Ising Model is a land mark system in statistical physics.The model explains the physics of spin glasses and magnetic materials, and cooperative phenomenon in general, for example phase transitions and neural networks.This package provides utilities to simulate one dimensional Ising Model with Metropolis and Glauber Monte Carlo with single flip dynamics in periodic boundary conditions. Utility functions for exact solutions are provided. Such as transfer matrix for 1D. Utility functions for exact solutions are provided. Example use cases are as follows: Measuring effective ergodicity and power-laws in so called functional-diffusion.
Author: Mehmet Suzen [aut, cre]
Maintainer: Mehmet Suzen <mehmet.suzen@physics.org>
Diff between isingLenzMC versions 0.2.7 dated 2025-09-18 and 0.2.8 dated 2025-09-26
isingLenzMC-0.2.7/isingLenzMC/inst/examples/effectiveErgodicity/README |only isingLenzMC-0.2.8/isingLenzMC/DESCRIPTION | 10 +++--- isingLenzMC-0.2.8/isingLenzMC/MD5 | 16 +++++----- isingLenzMC-0.2.8/isingLenzMC/NEWS | 15 ++++++++- isingLenzMC-0.2.8/isingLenzMC/README.md | 15 +++++++-- isingLenzMC-0.2.8/isingLenzMC/inst/doc/isingLenzMC.Rnw | 6 +-- isingLenzMC-0.2.8/isingLenzMC/inst/doc/isingLenzMC.pdf |binary isingLenzMC-0.2.8/isingLenzMC/inst/examples/effectiveErgodicity/README.md |only isingLenzMC-0.2.8/isingLenzMC/inst/examples/powerLawErgodicity/README.md | 2 - isingLenzMC-0.2.8/isingLenzMC/vignettes/isingLenzMC.Rnw | 6 +-- 10 files changed, 46 insertions(+), 24 deletions(-)
Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic
Net Regression
Description: Implements Self-Validated Ensemble Models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Also implements the randomized permutation whole-model test for SVEM (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>).
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>
Diff between SVEMnet versions 2.1.3 dated 2025-09-09 and 2.2.4 dated 2025-09-26
SVEMnet-2.1.3/SVEMnet/R/svem_random_table.R |only SVEMnet-2.1.3/SVEMnet/man/plot_svem_significance_tests.Rd |only SVEMnet-2.1.3/SVEMnet/man/svem_random_table_from_model.Rd |only SVEMnet-2.2.4/SVEMnet/DESCRIPTION | 24 SVEMnet-2.2.4/SVEMnet/MD5 | 79 ++- SVEMnet-2.2.4/SVEMnet/NAMESPACE | 18 SVEMnet-2.2.4/SVEMnet/NEWS | 3 SVEMnet-2.2.4/SVEMnet/R/SVEMnet-package.R | 42 - SVEMnet-2.2.4/SVEMnet/R/SVEMnet.R | 268 ++++++---- SVEMnet-2.2.4/SVEMnet/R/bigexp.R |only SVEMnet-2.2.4/SVEMnet/R/coef.R | 107 ++-- SVEMnet-2.2.4/SVEMnet/R/glmnet_with_cv.R | 4 SVEMnet-2.2.4/SVEMnet/R/globals.R | 1 SVEMnet-2.2.4/SVEMnet/R/lipid_screen.R |only SVEMnet-2.2.4/SVEMnet/R/plot.svemtest.R | 2 SVEMnet-2.2.4/SVEMnet/R/predict.svem_lasso.R | 171 ++++-- SVEMnet-2.2.4/SVEMnet/R/predict_with_ci.R |only SVEMnet-2.2.4/SVEMnet/R/svem_optimize_random.R |only SVEMnet-2.2.4/SVEMnet/R/svem_random_table_multi.R |only SVEMnet-2.2.4/SVEMnet/R/svem_significance_test.R | 225 ++++++--- SVEMnet-2.2.4/SVEMnet/R/svem_significance_test_parallel.R | 235 ++++++--- SVEMnet-2.2.4/SVEMnet/build/partial.rdb |binary SVEMnet-2.2.4/SVEMnet/build/vignette.rds |binary SVEMnet-2.2.4/SVEMnet/data |only SVEMnet-2.2.4/SVEMnet/inst/doc/SVEMnet_vignette.R | 140 +++++ SVEMnet-2.2.4/SVEMnet/inst/doc/SVEMnet_vignette.Rmd | 206 ++++++++ SVEMnet-2.2.4/SVEMnet/inst/doc/SVEMnet_vignette.html | 275 +++++++++-- SVEMnet-2.2.4/SVEMnet/man/SVEMnet-package.Rd | 33 + SVEMnet-2.2.4/SVEMnet/man/SVEMnet.Rd | 217 +++++--- SVEMnet-2.2.4/SVEMnet/man/bigexp_formula.Rd |only SVEMnet-2.2.4/SVEMnet/man/bigexp_model_matrix.Rd |only SVEMnet-2.2.4/SVEMnet/man/bigexp_prepare.Rd |only SVEMnet-2.2.4/SVEMnet/man/bigexp_terms.Rd |only SVEMnet-2.2.4/SVEMnet/man/bigexp_train.Rd |only SVEMnet-2.2.4/SVEMnet/man/coef.svem_model.Rd | 9 SVEMnet-2.2.4/SVEMnet/man/lipid_screen.Rd |only SVEMnet-2.2.4/SVEMnet/man/plot.svem_significance_test.Rd |only SVEMnet-2.2.4/SVEMnet/man/predict.svem_model.Rd | 54 +- SVEMnet-2.2.4/SVEMnet/man/predict_with_ci.Rd |only SVEMnet-2.2.4/SVEMnet/man/svem_optimize_random.Rd |only SVEMnet-2.2.4/SVEMnet/man/svem_random_table_multi.Rd |only SVEMnet-2.2.4/SVEMnet/man/svem_significance_test.Rd | 69 ++ SVEMnet-2.2.4/SVEMnet/man/svem_significance_test_parallel.Rd | 56 +- SVEMnet-2.2.4/SVEMnet/man/with_bigexp_contrasts.Rd |only SVEMnet-2.2.4/SVEMnet/tests |only SVEMnet-2.2.4/SVEMnet/vignettes/SVEMnet_vignette.Rmd | 206 ++++++++ 46 files changed, 1862 insertions(+), 582 deletions(-)
Title: Partial Least Squares (PLS) Data Analysis Methods
Description: Different methods for PLS analysis of one or two data tables such as Tucker's Inter-Battery, NIPALS, SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis. The main reference for this software is the awesome book (in French) 'La Regression PLS: Theorie et Pratique' by Michel Tenenhaus.
Author: Frederic Bertrand [cre] ,
Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Diff between plsdepot versions 0.2.0 dated 2023-03-13 and 0.3.0 dated 2025-09-26
plsdepot-0.2.0/plsdepot/NEWS |only plsdepot-0.3.0/plsdepot/DESCRIPTION | 36 ++++++++-------- plsdepot-0.3.0/plsdepot/MD5 | 43 +++++++++++-------- plsdepot-0.3.0/plsdepot/NAMESPACE | 54 +++++++++++++++--------- plsdepot-0.3.0/plsdepot/R/plot.interbat.R | 3 - plsdepot-0.3.0/plsdepot/R/plot.nipals.R | 3 - plsdepot-0.3.0/plsdepot/R/plot.plsca.R | 3 - plsdepot-0.3.0/plsdepot/R/plot.plsreg1.R | 3 - plsdepot-0.3.0/plsdepot/R/plot.plsreg2.R | 3 - plsdepot-0.3.0/plsdepot/R/plot.simpls.R | 3 - plsdepot-0.3.0/plsdepot/R/plot.simplsca.R | 3 - plsdepot-0.3.0/plsdepot/R/plsdepot-package.R |only plsdepot-0.3.0/plsdepot/R/print.interbat.R | 3 - plsdepot-0.3.0/plsdepot/R/print.nipals.R | 3 - plsdepot-0.3.0/plsdepot/R/print.plsca.R | 3 - plsdepot-0.3.0/plsdepot/R/print.plsreg1.R | 3 - plsdepot-0.3.0/plsdepot/R/print.plsreg2.R | 3 - plsdepot-0.3.0/plsdepot/R/print.simpls.R | 3 - plsdepot-0.3.0/plsdepot/R/print.simplsca.R | 3 - plsdepot-0.3.0/plsdepot/inst |only plsdepot-0.3.0/plsdepot/man/plsdepot-package.Rd |only plsdepot-0.3.0/plsdepot/tests |only 22 files changed, 92 insertions(+), 83 deletions(-)
Title: Inferring Causal Network from Mixed Observational Data Using a
Directed Acyclic Graph
Description: Learning a mixed directed acyclic graph based on both continuous and categorical data.
Author: Wujuan Zhong [aut, cre],
Li Dong [aut],
Quefeng Li [aut],
Xiaojing Zheng [aut]
Maintainer: Wujuan Zhong <zhongwujuan@gmail.com>
Diff between mDAG versions 1.2.2 dated 2019-08-20 and 1.2.3 dated 2025-09-26
DESCRIPTION | 28 ++++++++++++++++++++++------ MD5 | 10 +++++----- man/mDAG.Rd | 15 ++++++++++++--- src/Makevars | 1 - src/Makevars.win | 1 - src/RcppExports.cpp | 5 +++++ 6 files changed, 44 insertions(+), 16 deletions(-)
Title: Fast Algorithm for Penalized Quantile Regression
Description: Implements an efficient algorithm for fitting the entire regularization path of quantile regression models with elastic-net penalties using a generalized coordinate descent scheme. The framework also supports SCAD and MCP penalties. It is designed for high-dimensional datasets and emphasizes numerical accuracy and computational efficiency. This package implements the algorithms proposed in Tang, Q., Zhang, Y., & Wang, B. (2022) <https://openreview.net/pdf?id=RvwMTDYTOb>.
Author: Qian Tang [aut, cre],
Yikai Zhang [aut],
Boxiang Wang [aut]
Maintainer: Qian Tang <qian-tang@uiowa.edu>
Diff between hdqr versions 1.0.1 dated 2025-02-12 and 1.0.2 dated 2025-09-26
DESCRIPTION | 10 +++++----- MD5 | 41 +++++++++++++++++++++-------------------- R/cv.nc.hdqr-methods.R | 36 ++++++++++++++++++------------------ R/cv.nc.hdqr.R | 2 +- R/nc.hdqr-methods.R | 36 ++++++++++++++++++------------------ R/nc.hdqr.R | 2 +- R/qr-methods.R | 36 ++++++++++++++++++------------------ R/qr.R | 12 ++++++------ inst/CITATION |only inst/doc/hdqr-vignette.Rmd | 8 ++++++-- inst/doc/hdqr-vignette.html | 10 +++++++--- man/coef.cv.nc.hdqr.Rd | 18 +++++++++--------- man/coef.hdqr.Rd | 22 +++++++++++----------- man/coef.nc.hdqr.Rd | 22 +++++++++++----------- man/cv.nc.hdqr.Rd | 2 +- man/hdqr.Rd | 14 +++++++------- man/nc.hdqr.Rd | 2 +- man/predict.cv.nc.hdqr.Rd | 18 +++++++++--------- man/predict.hdqr.Rd | 14 +++++++------- man/predict.nc.hdqr.Rd | 14 +++++++------- src/lqr_hd.f90 | 7 +++---- vignettes/hdqr-vignette.Rmd | 8 ++++++-- 22 files changed, 173 insertions(+), 161 deletions(-)
Title: Generalized Promotion Time Cure Model with Bayesian Shrinkage
Priors
Description: Generalized promotion time cure model (GPTCM) via Bayesian hierarchical modeling for multiscale data integration (Zhao et al. (2025) <doi:10.48550/arXiv.2509.01001>). The Bayesian GPTCMs are applicable for both low- and high-dimensional data.
Author: Zhi Zhao [aut, cre]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Diff between GPTCM versions 1.1.1 dated 2025-09-16 and 1.1.2 dated 2025-09-26
GPTCM-1.1.1/GPTCM/man/mcmc.Rd |only GPTCM-1.1.2/GPTCM/DESCRIPTION | 6 - GPTCM-1.1.2/GPTCM/MD5 | 60 ++++++------- GPTCM-1.1.2/GPTCM/NEWS.md | 24 ++++- GPTCM-1.1.2/GPTCM/R/GPTCM.R | 5 - GPTCM-1.1.2/GPTCM/R/RcppExports.R | 54 ++++++------ GPTCM-1.1.2/GPTCM/R/plotBrier.R | 25 +++-- GPTCM-1.1.2/GPTCM/R/plotCoeff.R | 5 - GPTCM-1.1.2/GPTCM/R/plotMCMC.R | 3 GPTCM-1.1.2/GPTCM/R/predict.GPTCM.R | 2 GPTCM-1.1.2/GPTCM/R/simData.R | 61 ++++++++----- GPTCM-1.1.2/GPTCM/README.md | 17 +-- GPTCM-1.1.2/GPTCM/configure | 18 ++-- GPTCM-1.1.2/GPTCM/configure.ac | 12 +- GPTCM-1.1.2/GPTCM/inst/CITATION | 5 - GPTCM-1.1.2/GPTCM/inst/doc/GPTCM.R | 31 +++++++ GPTCM-1.1.2/GPTCM/inst/doc/GPTCM.Rmd | 33 +++++++ GPTCM-1.1.2/GPTCM/inst/doc/GPTCM.html | 18 ++-- GPTCM-1.1.2/GPTCM/man/GPTCM.Rd | 6 + GPTCM-1.1.2/GPTCM/man/figures/cran_betas.png |binary GPTCM-1.1.2/GPTCM/man/figures/cran_brier.png |binary GPTCM-1.1.2/GPTCM/man/figures/cran_etas.png |binary GPTCM-1.1.2/GPTCM/man/figures/cran_gammas.png |binary GPTCM-1.1.2/GPTCM/man/figures/cran_km.png |binary GPTCM-1.1.2/GPTCM/man/figures/cran_zetas.png |binary GPTCM-1.1.2/GPTCM/man/run_mcmc.Rd |only GPTCM-1.1.2/GPTCM/src/BVS.cpp | 114 ++++++++++++++------------ GPTCM-1.1.2/GPTCM/src/BVS.h | 13 ++ GPTCM-1.1.2/GPTCM/src/drive.cpp | 62 +++++++------- GPTCM-1.1.2/GPTCM/src/eval_func.cpp | 4 GPTCM-1.1.2/GPTCM/src/eval_func.h | 4 GPTCM-1.1.2/GPTCM/vignettes/GPTCM.Rmd | 33 +++++++ 32 files changed, 382 insertions(+), 233 deletions(-)
Title: Shrinkage for Effect Estimation
Description: Computes shrinkage estimators for regression problems. Selects penalty parameter by minimizing bias and variance in the effect estimate, where bias and variance are estimated from the posterior predictive distribution. See Keller and Rice (2017) <doi:10.1093/aje/kwx225> for more details.
Author: Kayleigh Keller [aut, cre]
Maintainer: Kayleigh Keller <kayleigh.keller@colostate.edu>
Diff between eshrink versions 0.1.2 dated 2020-09-09 and 0.2.0 dated 2025-09-26
DESCRIPTION | 18 +++++++++--------- MD5 | 28 ++++++++++++++-------------- R/eshrink.R | 1 - R/functions_bayes.R | 2 +- R/functions_ci.R | 4 ++-- R/functions_lasso.R | 2 +- R/functions_ridge.R | 12 ++++++------ man/check_CIbound.Rd | 2 +- man/eshrink-package.Rd | 1 - man/estRidge.Rd | 2 +- man/festRidge.Rd | 2 +- man/mseRidge.Rd | 2 +- man/samplePosterior.Rd | 2 +- man/simLASSO.Rd | 2 +- man/vcovfestRidge.Rd | 2 +- 15 files changed, 40 insertions(+), 42 deletions(-)
Title: Spatial and Network Based Individual Level Models for Epidemics
Description: Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
Author: Vineetha Warriyar K. V. [aut],
Waleed Almutiry [aut, cre],
Rob Deardon [aut, ths]
Maintainer: Waleed Almutiry <wkmtierie@qu.edu.sa>
This is a re-admission after prior archival of version 1.5.2 dated 2020-09-30
Diff between EpiILM versions 1.5.2 dated 2020-09-30 and 1.5.3 dated 2025-09-26
EpiILM-1.5.2/EpiILM/tests/EpiILM.network.Rout.save |only EpiILM-1.5.2/EpiILM/tests/EpiILM.spatial.Rout.save |only EpiILM-1.5.3/EpiILM/DESCRIPTION | 24 - EpiILM-1.5.3/EpiILM/MD5 | 38 - EpiILM-1.5.3/EpiILM/build/partial.rdb |binary EpiILM-1.5.3/EpiILM/build/vignette.rds |binary EpiILM-1.5.3/EpiILM/inst/doc/Predict.R | 320 +++++++------- EpiILM-1.5.3/EpiILM/inst/doc/Predict.Rnw | 460 ++++++++++----------- EpiILM-1.5.3/EpiILM/inst/doc/Predict.pdf |binary EpiILM-1.5.3/EpiILM/man/EpiILM-package.Rd | 95 ++-- EpiILM-1.5.3/EpiILM/man/as.epidata.Rd | 38 - EpiILM-1.5.3/EpiILM/man/epiBR0.Rd | 201 ++++----- EpiILM-1.5.3/EpiILM/man/epidata.Rd | 366 ++++++++-------- EpiILM-1.5.3/EpiILM/man/epidic.Rd | 138 +++--- EpiILM-1.5.3/EpiILM/man/epilike.Rd | 188 ++++---- EpiILM-1.5.3/EpiILM/man/epimcmc.Rd | 370 ++++++++-------- EpiILM-1.5.3/EpiILM/man/plot.epimcmc.Rd | 100 ++-- EpiILM-1.5.3/EpiILM/man/pred.epi.Rd | 248 +++++------ EpiILM-1.5.3/EpiILM/tests/EpiILM.network.R | 115 ++--- EpiILM-1.5.3/EpiILM/tests/EpiILM.spatial.R | 101 ++-- EpiILM-1.5.3/EpiILM/vignettes/Predict.Rnw | 460 ++++++++++----------- 21 files changed, 1679 insertions(+), 1583 deletions(-)
Title: Parallel and Memory-Efficient Ecological Diversity Metrics
Description: Computes alpha and beta diversity metrics using concurrent 'C' threads.
Metrics include 'UniFrac', Faith's phylogenetic diversity, Bray-Curtis
dissimilarity, Shannon diversity index, and many others.
Also parses newick trees into 'phylo' objects and rarefies feature tables.
Author: Daniel P. Smith [aut, cre] ,
Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Diff between ecodive versions 2.0.0 dated 2025-09-21 and 2.1.0 dated 2025-09-26
DESCRIPTION | 8 ++-- MD5 | 48 ++++++++++++++-------------- NEWS.md | 16 +++++++++ R/alpha_div.r | 55 ++++++++++++++++++++++----------- R/beta_div.r | 68 +++++++++++++++++++++++------------------ R/documentation.r | 10 ++++-- R/utils.r | 3 + R/validate.r | 23 ++++++------- README.md | 13 ++++++- inst/doc/bdiv.Rmd | 4 +- inst/doc/bdiv.html | 6 +-- inst/doc/benchmark.Rmd | 14 ++++---- inst/doc/benchmark.html | 14 ++++---- man/adiv_functions.Rd | 18 +++++++--- man/alpha_div.Rd | 66 ++++++++++++++++++++++++++++++++------- man/bdiv_functions.Rd | 58 +++++++++++++++++++--------------- man/beta_div.Rd | 46 +++++++++++++++++++++++++-- man/documentation.Rd | 10 ++++-- src/beta_div.c | 7 ++++ src/unifrac.c | 45 +++++++++++++++------------ tests/testthat/test-beta_div.r | 24 ++++++++++++++ tests/testthat/test-methods.r | 2 - tests/testthat/test-validate.r | 25 ++++++++++++--- vignettes/bdiv.Rmd | 4 +- vignettes/benchmark.Rmd | 14 ++++---- 25 files changed, 405 insertions(+), 196 deletions(-)
Title: Causal Effect Random Forest of Interaction Trees
Description: Fits a Causal Effect Random Forest of Interaction Tress (CERFIT) which is a modification of the Random Forest algorithm where each split is chosen to maximize subgroup treatment heterogeneity. Doing this allows it to estimate the individualized treatment effect for each observation in either randomized controlled trial (RCT) or observational data. For more information see L. Li, R. A. Levine, and J. Fan (2022) <doi:10.1002/sta4.457>.
Author: Justin Thorp [aut, cre],
Luo Li [aut],
Juanjuan Fan [aut]
Maintainer: Justin Thorp <jjtthorp@gmail.com>
Diff between CERFIT versions 0.1.0 dated 2022-06-01 and 0.1.1 dated 2025-09-26
DESCRIPTION | 12 ++--- MD5 | 20 ++++---- NAMESPACE | 42 +++++++++--------- R/CERFIT.R | 8 ++- R/RcppExports.R | 14 +++--- R/growTree.R | 20 ++++---- R/ordinalize.R | 50 ++++++++++----------- README.md | 128 +++++++++++++++++++++++++++---------------------------- man/CERFIT.Rd | 3 + src/Makevars | 1 src/Makevars.win | 1 11 files changed, 152 insertions(+), 147 deletions(-)
Title: Bayesian Marginal Effects for 'brms' Models
Description: Calculate Bayesian marginal effects, average marginal effects, and marginal coefficients (also called population averaged coefficients) for models fit using the 'brms' package including fixed effects, mixed effects, and location scale models. These are based on marginal predictions that integrate out random effects if necessary (see for example <doi:10.1186/s12874-015-0046-6> and <doi:10.1111/biom.12707>).
Author: Joshua F. Wiley [aut, cre] ,
Donald Hedeker [aut]
Maintainer: Joshua F. Wiley <jwiley.psych@gmail.com>
Diff between brmsmargins versions 0.2.0 dated 2022-05-18 and 0.2.1 dated 2025-09-26
DESCRIPTION | 13 MD5 | 124 NEWS.md | 67 R/RcppExports.R | 236 R/assert.R | 314 R/averageposterior.R | 74 R/builders.R | 209 R/imp-brms.R | 60 R/marginalcoef.R | 195 R/margins.R | 145 R/prediction.R | 430 - R/rimplementation.R | 110 R/utils.R | 703 - README.md | 364 - build/partial.rdb |binary build/vignette.rds |binary inst/doc/fixed-effects-marginaleffects.Rmd | 1122 +-- inst/doc/fixed-effects-marginaleffects.html | 4874 ++++++------- inst/doc/location-scale-marginaleffects.Rmd | 854 +- inst/doc/location-scale-marginaleffects.html | 4439 ++++++------ inst/doc/mixed-effects-marginaleffects.Rmd | 306 inst/doc/mixed-effects-marginaleffects.html | 6745 +++++++++---------- man/assertall.Rd | 18 man/brmsmargins.Rd | 31 man/bsummary.Rd | 30 man/builders.Rd | 23 man/dot-averagePosterior.Rd | 2 man/dot-extractlink.Rd | 6 man/dot-links.Rd | 15 man/dot-percent.Rd | 2 man/integratemvn.Rd | 4 man/integratere.Rd | 4 man/is.random.Rd | 4 man/marginalcoef.Rd | 24 man/prediction.Rd | 29 man/tab2mat.Rd | 4 src/Makevars | 2 src/Makevars.win | 2 src/RcppExports.cpp | 6 src/integratemvn.cpp | 17 src/integratemvn.h | 2 src/integratere.cpp | 30 src/lmcpp.cpp | 15 tests/testthat.R | 12 tests/testthat/test-bsummary.R | 118 tests/testthat/test-builders.R | 32 tests/testthat/test-dot-checktab.R | 22 tests/testthat/test-dot-links.R | 144 tests/testthat/test-dot-percent.R | 98 tests/testthat/test-fixedeffects-bernoulli-margins.R | 120 tests/testthat/test-fixedeffects-beta-margins.R | 140 tests/testthat/test-fixedeffects-gamma-margins.R | 154 tests/testthat/test-integratemvn.R | 90 tests/testthat/test-marginalcoef-mixedlogit.R | 130 tests/testthat/test-marginalcoef-mixedpoisson.R | 126 tests/testthat/test-predict-mixedlogit.R | 342 tests/testthat/test-predict-mixedlogtrans.R | 230 tests/testthat/test-predict-mixedpoisson.R | 222 tests/testthat/test-rowbootmeans.R | 16 tests/testthat/test-tab2mat.R | 10 vignettes/fixed-effects-marginaleffects.Rmd | 1122 +-- vignettes/location-scale-marginaleffects.Rmd | 854 +- vignettes/mixed-effects-marginaleffects.Rmd | 306 63 files changed, 13045 insertions(+), 12897 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-04-03 3.0.3
2018-01-25 3.0.2
2016-01-09 3.0.1
2015-07-27 3.0.0
Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>
Diff between TrialSimulator versions 1.0.0 dated 2025-09-03 and 1.3.0 dated 2025-09-26
TrialSimulator-1.0.0/TrialSimulator/R/Arm.R |only TrialSimulator-1.0.0/TrialSimulator/R/Controller.R |only TrialSimulator-1.0.0/TrialSimulator/R/Endpoint.R |only TrialSimulator-1.0.0/TrialSimulator/R/Listener.R |only TrialSimulator-1.0.0/TrialSimulator/R/Trial.R |only TrialSimulator-1.0.0/TrialSimulator/man/default_action.Rd |only TrialSimulator-1.3.0/TrialSimulator/DESCRIPTION | 6 TrialSimulator-1.3.0/TrialSimulator/MD5 | 209 ++++------ TrialSimulator-1.3.0/TrialSimulator/NEWS.md | 26 + TrialSimulator-1.3.0/TrialSimulator/R/Arms.R | 55 +- TrialSimulator-1.3.0/TrialSimulator/R/Controllers.R | 54 +- TrialSimulator-1.3.0/TrialSimulator/R/CorrelatedPfsAndOs3.R | 34 + TrialSimulator-1.3.0/TrialSimulator/R/CorrelatedPfsAndOs4.R | 43 +- TrialSimulator-1.3.0/TrialSimulator/R/DynamicRNGFunction.R | 41 + TrialSimulator-1.3.0/TrialSimulator/R/Endpoints.R | 115 ++++- TrialSimulator-1.3.0/TrialSimulator/R/EnrollmentCountCondition.R | 15 TrialSimulator-1.3.0/TrialSimulator/R/Listeners.R | 28 + TrialSimulator-1.3.0/TrialSimulator/R/Milestones.R | 69 ++- TrialSimulator-1.3.0/TrialSimulator/R/PiecewiseConstantExponentialRNG.R | 34 + TrialSimulator-1.3.0/TrialSimulator/R/StaggeredRecruiter.R | 25 - TrialSimulator-1.3.0/TrialSimulator/R/Trials.R | 206 +++++++-- TrialSimulator-1.3.0/TrialSimulator/R/arm.R |only TrialSimulator-1.3.0/TrialSimulator/R/calendarTime.R | 17 TrialSimulator-1.3.0/TrialSimulator/R/controller.R |only TrialSimulator-1.3.0/TrialSimulator/R/default_action.R | 12 TrialSimulator-1.3.0/TrialSimulator/R/doNothing.R | 31 + TrialSimulator-1.3.0/TrialSimulator/R/endpoint.R |only TrialSimulator-1.3.0/TrialSimulator/R/enrollment.R | 43 +- TrialSimulator-1.3.0/TrialSimulator/R/eventNumber.R | 24 - TrialSimulator-1.3.0/TrialSimulator/R/fitCoxph.R | 24 - TrialSimulator-1.3.0/TrialSimulator/R/fitFarringtonManning.R | 8 TrialSimulator-1.3.0/TrialSimulator/R/fitLinear.R | 8 TrialSimulator-1.3.0/TrialSimulator/R/fitLogistic.R | 6 TrialSimulator-1.3.0/TrialSimulator/R/fitLogrank.R | 14 TrialSimulator-1.3.0/TrialSimulator/R/listener.R |only TrialSimulator-1.3.0/TrialSimulator/R/milestone.R | 33 + TrialSimulator-1.3.0/TrialSimulator/R/rconst.R | 12 TrialSimulator-1.3.0/TrialSimulator/R/solveMixtureExponentialDistribution.R | 13 TrialSimulator-1.3.0/TrialSimulator/R/solveThreeStateModel.R | 13 TrialSimulator-1.3.0/TrialSimulator/R/summarizeMilestoneTime.R | 16 TrialSimulator-1.3.0/TrialSimulator/R/summarizeTable.R | 9 TrialSimulator-1.3.0/TrialSimulator/R/trial.R |only TrialSimulator-1.3.0/TrialSimulator/R/weibullDropout.R | 11 TrialSimulator-1.3.0/TrialSimulator/README.md | 15 TrialSimulator-1.3.0/TrialSimulator/build/vignette.rds |binary TrialSimulator-1.3.0/TrialSimulator/inst/doc/actionFunctions.Rmd | 60 +- TrialSimulator-1.3.0/TrialSimulator/inst/doc/actionFunctions.html | 113 ++--- TrialSimulator-1.3.0/TrialSimulator/inst/doc/adaptiveDesign.R | 18 TrialSimulator-1.3.0/TrialSimulator/inst/doc/adaptiveDesign.Rmd | 22 - 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More information about TrialSimulator at CRAN
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Title: Precision Agriculture Computational Utilities
Description: Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.
Author: dos Santos Caio [aut, cre],
Miguez Fernando [aut]
Maintainer: dos Santos Caio <clsantos@iastate.edu>
Diff between pacu versions 0.1.63 dated 2025-05-29 and 0.1.72 dated 2025-09-26
DESCRIPTION | 6 MD5 | 45 - NAMESPACE | 4 R/get_rgb.R | 35 R/merge.R |only R/pacu_internal.R | 18 R/plot.R | 82 +- R/print.R | 39 R/trial.R | 279 ++++--- R/yield.R | 16 build/vignette.rds |binary inst/doc/pacu.html | 730 +++++++++--------- inst/doc/pacu_faq.R | 44 - inst/doc/pacu_faq.html | 816 ++++++++++---------- inst/doc/pacu_sat.R | 226 ++--- inst/doc/pacu_sat.html | 1204 +++++++++++++++--------------- inst/doc/pacu_weather.R | 68 - inst/doc/pacu_weather.html | 898 +++++++++++----------- inst/doc/pacu_ym.R | 314 +++---- inst/doc/pacu_ym.html | 1784 ++++++++++++++++++++++----------------------- man/pa_get_rgb.Rd | 12 man/pa_merge.Rd |only man/pa_print.Rd | 3 man/pa_trial.Rd |only man/pa_yield.Rd | 2 25 files changed, 3398 insertions(+), 3227 deletions(-)
Title: Meta-Analytic Effect Size Calculation for Pre-Post Designs with
Correlation Imputation
Description: Tools for the calculation of effect sizes (standardised mean difference) and mean difference in pre-post controlled studies, including robust imputation of missing variances (standard deviation of changes) and correlations (Pearson correlation coefficient). The main function 'metacor_dual()' implements several methods for imputing missing standard deviation of changes or Pearson correlation coefficient, and generates transparent imputation reports. Designed for meta-analyses with incomplete summary statistics. For details on the methods, see Higgins et al. (2023) and Fu et al. (2013).
Author: Iker J. Bautista [aut, cre],
Saul M. Rodriguez [ctb]
Maintainer: Iker J. Bautista <ikerugr@gmail.com>
Diff between metacor versions 1.1.2 dated 2025-07-28 and 1.2.0 dated 2025-09-26
DESCRIPTION | 24 - MD5 | 6 R/metacor_dual.R | 1025 ++++++++++++++++++++++----------------------- inst/doc/introduccion.html | 40 + 4 files changed, 549 insertions(+), 546 deletions(-)
Title: Irish Grid Reference Utilities
Description: Convert between Irish grid references and Irish Grid coordinates. Irish grid
references can also be converted to or from an 'sf' object in any coordinate reference
system. Precisions from 1 m to 100 km including 2 km (tetrads) are supported, as are
datasets with mixed precision. Conversion to 'sf' polygons is precision-aware.
Author: John Kennedy [aut, cre, cph] ,
Digital Nature [fnd]
Maintainer: John Kennedy <john@digitalnature.ie>
Diff between igr versions 1.0.0 dated 2025-01-07 and 1.0.1 dated 2025-09-26
DESCRIPTION | 15 +++-- MD5 | 28 +++++------ NEWS.md | 5 + R/st_irishgridrefs.R | 7 +- R/utils.R | 6 +- README.md | 4 + build/vignette.rds |binary inst/doc/igr.R | 55 ++++++--------------- inst/doc/igr.Rmd | 57 +++++++--------------- inst/doc/igr.html | 66 +++++++++----------------- man/figures/README-example-igr-points-1.png |binary man/figures/README-example-igr-polygons-1.png |binary man/st_irishgridrefs.Rd | 2 tests/testthat/test-st_irishgridrefs.R | 8 +++ vignettes/igr.Rmd | 57 +++++++--------------- 15 files changed, 124 insertions(+), 186 deletions(-)