Sat, 13 Dec 2025

Package rACMEMEEV updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-12

Title: Multi-Variate Measurement Error Adjustment
Description: A methodology to perform multivariate measurement error adjustment using external validation data. Allows users to remove the attenuating effect of measurement error by incorporating a distribution of external validation data, and allows for plotting of all resultant adjustments. Sensitivity analyses can also be run through this package to test how different ranges of validity coefficients can impact the effect of the measurement error adjustment. The methods implemented in this package are based on the work by Muoka, A., Agogo, G., Ngesa, O., Mwambi, H. (2020): <doi:10.12688/f1000research.27892.1>.
Author: Alexander Lee [aut, cre, cph]
Maintainer: Alexander Lee <westford14@gmail.com>

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Package ring updated to version 1.0.8 with previous version 1.0.6 dated 2024-09-06

Title: Circular / Ring Buffers
Description: Circular / ring buffers in R and C. There are a couple of different buffers here with different implementations that represent different trade-offs.
Author: Rich FitzJohn [aut, cre], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package ggfittext updated to version 0.10.3 with previous version 0.10.2 dated 2024-01-31

Title: Fit Text Inside a Box in 'ggplot2'
Description: A 'ggplot2' extension to fit text into a box by growing, shrinking or wrapping the text.
Author: David Wilkins [aut, cre], Brady Johnston [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package cifmodeling updated to version 0.9.6 with previous version 0.9.4 dated 2025-12-04

Title: Visualization and Polytomous Modeling of Survival and Competing Risks
Description: A publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions 'cifcurve()', 'cifplot()', and 'cifpanel()' estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-risk marks, and multi-panel or inset layouts built on 'ggplot2' and 'ggsurvfit'. The modeling function 'polyreg()' performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with 'modelsummary', 'broom', and the broader 'tidyverse' ecosystem. Key numerical routines are implemented in C++ via 'Rcpp'.
Author: Shiro Tanaka [aut, cre, cph] , Shigetaka Kobari [ctb], Chisato Honda [ctb]
Maintainer: Shiro Tanaka <gestimation@gmail.com>

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Package automatedRecLin updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-18

Title: Record Linkage Based on an Entropy-Maximizing Classifier
Description: The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm>, Vo et al. (2023) <https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html>, Sugiyama et al. (2008) <doi:10.1007/s10463-008-0197-x>.
Author: Adam Struzik [aut, cre], Maciej Beresewicz [aut, ctb]
Maintainer: Adam Struzik <adastr5@st.amu.edu.pl>

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Package vetiver updated to version 0.2.7 with previous version 0.2.6 dated 2025-10-28

Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package tidypredict updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-29

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package rde updated to version 0.1.1 with previous version 0.1.0 dated 2018-07-02

Title: Reproducible Data Embedding
Description: Allows caching of raw data directly in R code. This allows R scripts and R Notebooks to be shared and re-run on a machine without access to the original data. Cached data is encoded into an ASCII string that can be pasted into R code. When the code is run, the data is automatically loaded from the cached version if the original data file is unavailable. Works best for small datasets (a few hundred observations).
Author: Stefan Kloppenborg [aut, cre]
Maintainer: Stefan Kloppenborg <stefan@kloppenborg.ca>

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Package plumber updated to version 1.3.1 with previous version 1.3.0 dated 2025-02-19

Title: An API Generator for R
Description: Gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.
Author: Barret Schloerke [cre, aut] , Jeff Allen [aut, ccp], Bruno Tremblay [ctb], Frans van Dunne [ctb], Sebastiaan Vandewoude [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>

Diff between plumber versions 1.3.0 dated 2025-02-19 and 1.3.1 dated 2025-12-13

 DESCRIPTION                                  |   62 ++--
 MD5                                          |   51 ++-
 NAMESPACE                                    |    2 
 NEWS.md                                      |   16 +
 R/parse-body.R                               |   12 
 R/plumb.R                                    |   15 -
 R/plumber.R                                  |    3 
 R/serializer.R                               |   16 +
 R/ui.R                                       |   25 +
 README.md                                    |    2 
 inst/WORDLIST                                |    1 
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 tests/testthat/test-options.R                |    2 
 tests/testthat/test-parse-body.R             |   20 +
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 tests/testthat/test-serializer-htmlwidgets.R |   19 -
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 tests/testthat/test-tidy-plumber.R           |   18 -
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 tests/testthat/test-zzz-openapi.R            |  353 ++++++++++++++++-----------
 tests/testthat/test-zzzz-include.R           |    8 
 28 files changed, 541 insertions(+), 312 deletions(-)

More information about plumber at CRAN
Permanent link

Package nimble updated to version 1.4.0 with previous version 1.3.0 dated 2024-12-17

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, deterministic nested approximations, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic al [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 1.3.0 dated 2024-12-17 and 1.4.0 dated 2025-12-13

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 nimble-1.4.0/nimble/LICENSE                                                 |    2 
 nimble-1.4.0/nimble/MD5                                                     |  295 +--
 nimble-1.4.0/nimble/NAMESPACE                                               |   20 
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 160 files changed, 6440 insertions(+), 3049 deletions(-)

More information about nimble at CRAN
Permanent link

Package did updated to version 2.3.0 with previous version 2.1.2 dated 2022-07-20

Title: Treatment Effects with Multiple Periods and Groups
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumpti [...truncated...]
Author: Brantly Callaway [aut, cre], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

Diff between did versions 2.1.2 dated 2022-07-20 and 2.3.0 dated 2025-12-13

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 did-2.3.0/did/MD5                                                                            |  174 
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 did-2.3.0/did/vignettes/did-basics.Rmd                                                       |   30 
 did-2.3.0/did/vignettes/pre-testing.Rmd                                                      |   64 
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