Fri, 02 Oct 2026

Package educabR updated to version 1.2.0 with previous version 1.1.0 dated 2026-08-23

Title: Download and Process Brazilian Education Data from INEP
Description: Download and process public education data from INEP (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira). Provides functions to access microdata from the School Census (Censo Escolar), ENEM (Exame Nacional do Ensino Médio), SAEB (Sistema de Avaliação da Educação Básica), Higher Education Census (Censo da Educação Superior), ENADE (Exame Nacional de Desempenho dos Estudantes), ENCCEJA (Exame Nacional para Certificação de Competências de Jovens e Adultos), IDD (Indicador de Diferença entre os Desempenhos Observado e Esperado), CPC (Conceito Preliminar de Curso), IGC (Índice Geral de Cursos), CAPES graduate education data, FUNDEB (Fundo de Manutencao e Desenvolvimento da Educacao Basica), IDEB (Índice de Desenvolvimento da Educação Básica), and other educational datasets. Returns data in tidy format ready for analysis. Data source: INEP Open Data Portal <https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos>.
Author: Sidney da Silva Pereira Bissoli [aut, cre]
Maintainer: Sidney da Silva Pereira Bissoli <sbissoli76@gmail.com>

Diff between educabR versions 1.1.0 dated 2026-08-23 and 1.2.0 dated 2026-10-02

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Package tern.mmrm updated to version 0.3.4 with previous version 0.3.3 dated 2025-07-04

Title: Tables and Graphs for Mixed Models for Repeated Measures (MMRM)
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see for example Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>. This package provides an interface for fitting MMRM within the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023). It builds on 'mmrm' <https://cran.r-project.org/package=mmrm> by Sabanés Bové et al. (2023) for the actual MMRM computations.
Author: Daniel Sabanes Bove [aut], Joe Zhu [aut, cre] , Godwin Yung [aut], Francois Collin [aut], Julia Dedic [aut], Jana Stoilova [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package tern.gee updated to version 0.1.6 with previous version 0.1.5 dated 2024-08-23

Title: Tables and Graphs for Generalized Estimating Equations (GEE) Model Fits
Description: Generalized estimating equations (GEE) are a popular choice for analyzing longitudinal binary outcomes. This package provides an interface for fitting GEE, currently for logistic regression, within the 'tern' <https://cran.r-project.org/package=tern> framework (Zhu, Sabanés Bové et al., 2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> (Becker, Waddell et al., 2023). It builds on 'geepack' <doi:10.18637/jss.v015.i02> (Højsgaard, Halekoh and Yan, 2006) for the actual GEE model fitting.
Author: Daniel Sabanes Bove [aut], Joe Zhu [aut, cre] , Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package piqp updated to version 0.6.4 with previous version 0.6.2 dated 2026-02-18

Title: R Interface to Proximal Interior Point Quadratic Programming Solver
Description: An embedded proximal interior point quadratic programming solver, which can solve dense and sparse quadratic programs, described in Schwan, Jiang, Kuhn, and Jones (2023) <doi:10.48550/arXiv.2304.00290>. Combining an infeasible interior point method with the proximal method of multipliers, the algorithm can handle ill-conditioned convex quadratic programming problems without the need for linear independence of the constraints. The solver is written in header only 'C++ 14' leveraging the 'Eigen' library for vectorized linear algebra. For small dense problems, vectorized instructions and cache locality can be exploited more efficiently. Allocation free problem updates and re-solves are also provided.
Author: Balasubramanian Narasimhan [aut, cre], Roland Schwan [aut, cph], Yuning Jiang [aut], Daniel Kuhn [aut], Colin N. Jones [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package msma updated to version 4.0 with previous version 3.2 dated 2026-08-26

Title: Multiblock Sparse Multivariable Analysis
Description: Several functions can be used to analyze multiblock multivariable data. If the input is a single matrix, then principal components analysis (PCA) is implemented. If the input is a list of matrices, then multiblock PCA is implemented. If the input is two matrices, for exploratory and objective variables, then partial least squares (PLS) analysis is implemented. If the input is two lists of matrices, for exploratory and objective variables, then multiblock PLS analysis is implemented. Additionally, if an extra outcome variable is specified, then a supervised version of the methods above is implemented. For each method, sparse modeling is also incorporated. Functions for selecting the number of components and regularized parameters are also provided. Version 4.0 adds opt-in supervised sparse soft-structured principal component analysis, reconstruction, and repeated split reconstruction-based parameter selection while preserving the default Version 3.2 computational paths.
Author: Atsushi Kawaguchi [aut, cre]
Maintainer: Atsushi Kawaguchi <kawa_a24@yahoo.co.jp>

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Package FRCI updated to version 0.1.1 with previous version 0.1.0 dated 2025-12-11

Title: Fuzzy & Randomized Confidence Intervals
Description: Contains the methods proposed by Geyer and Meeden (2005) <doi:10.1214/088342305000000340> and Trigo et al. (2025) <doi:10.47749/T/UNICAMP.2025.1500297> to construct fuzzy confidence intervals. Compute and plot the fuzzy membership functions of the methods, and the expected length compared with the infimum.
Author: Carlos Henrique Trigo Nasser Felix [aut, cre], Nancy Lopes Garcia [aut], Alex Rodrigo dos Santos Sousa [aut]
Maintainer: Carlos Henrique Trigo Nasser Felix <c214344@dac.unicamp.br>

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Package fable.prophet updated to version 0.1.1 with previous version 0.1.0 dated 2020-08-20

Title: Prophet Modelling Interface for 'fable'
Description: Allows prophet models from the 'prophet' package to be used in a tidy workflow with the modelling interface of 'fabletools'. This extends 'prophet' to provide enhanced model specification and management, performance evaluation methods, and model combination tools.
Author: Mitchell O'Hara-Wild [aut, cre], Sean Taylor [ctb] , Ben Letham [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package bage updated to version 0.10.11 with previous version 0.10.10 dated 2026-08-21

Title: Bayesian Estimation and Forecasting of Age-Specific Rates
Description: Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
Author: John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package tidier updated to version 0.3.0 with previous version 0.2.0 dated 2023-09-11

Title: Enhanced 'mutate' with 'Apache Spark' Style Window Operations
Description: Window operations for R dataframes with 'by', 'order_by' and 'frame' defined by 'rows_between' or 'range_between', inspired by 'Apache Spark' via 'mutate' in 'dplyr' flavor.
Author: Srikanth Komala Sheshachala [aut, cre]
Maintainer: Srikanth Komala Sheshachala <sri.teach@gmail.com>

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Package PScr updated to version 1.2 with previous version 1.1 dated 2023-04-03

Title: Estimation for the Power Series Cure Rate Model
Description: Provides estimation and simulation tools for particular cases of the power series cure rate model <doi:10.1080/03610918.2011.639971>. For the distribution of the concurrent causes the alternative models are the Poisson, logarithmic, negative binomial and Bernoulli (which are includes in the original work), the polylogarithm model <doi:10.1080/00949655.2018.1451850> and the Flory-Schulz <doi:10.3390/math10244643>. The estimation procedure is based on the EM algorithm discussed in <doi:10.1080/03610918.2016.1202276>. For the distribution of the time-to-event the alternative models are slash half-normal, Weibull, gamma and Birnbaum-Saunders distributions.
Author: Diego Gallardo [aut, cre], Reza Azimi [ctb], Daniel Jana [ctb], Yolanda Gomez [ctb]
Maintainer: Diego Gallardo <diego.gallardo.mateluna@gmail.com>

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Package PAMscapes updated to version 0.17.2 with previous version 0.15.0 dated 2026-02-04

Title: Tools for Summarising and Analysing Soundscape Data
Description: A variety of tools relevant to the analysis of marine soundscape data. There are tools for downloading AIS (automatic identification system) data from Marine Cadastre <https://hub.marinecadastre.gov>, connecting AIS data to GPS coordinates, plotting summaries of various soundscape measurements, and downloading relevant environmental variables (wind, swell height) from the National Center for Atmospheric Research data server <https://gdex.ucar.edu/datasets/d084001/>. Most tools were developed to work well with output from 'Triton' software, but can be adapted to work with any similar measurements.
Author: Taiki Sakai [aut, cre], Anne Simonis [ctb], Shannon Rankin [ctb], Megan McKenna [ctb], Kaitlin Palmer [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

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Package BSTFA updated to version 0.1.2 with previous version 0.1.0 dated 2025-08-28

Title: Bayesian Spatio-Temporal Factor Analysis Model
Description: Implements Bayesian spatio-temporal factor analysis models for multivariate data observed across space and time. The package provides tools for model fitting via Markov chain Monte Carlo (MCMC), spatial and temporal interpolation, and visualization of latent factors and loadings to support inference and exploration of underlying spatio-temporal patterns. Designed for use in environmental, ecological, or public health applications, with support for posterior prediction and uncertainty quantification. Includes functions such as BSTFA() for model fitting and plot_factor() to visualize the latent processes. Functions are based on and extended from methods described in Berrett, et al. (2020) <doi:10.1002/env.2609>.
Author: Adam Simpson [aut], Candace Berrett [aut, cre]
Maintainer: Candace Berrett <cberrett@stat.byu.edu>

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Package tseffects updated to version 0.4.1 with previous version 0.3.1 dated 2026-07-15

Title: Dynamic Effects from Single-Equation Time Series Models (with Interactions)
Description: Autoregressive distributed lag (A[R]DL) models (and their reparameterized equivalent, the Generalized Error-Correction Model [GECM]) are the workhorse dynamic linear models in uncovering dynamic inferences. ADL models are simple to estimate; this is what makes them attractive. Once these models are estimated, what is less clear is how to uncover a rich set of dynamic inferences from these models. We provide tools for recovering those inferences. These tools apply to traditional time-series quantities of interest and are built from the Impulse Response Function and Step Response Function (sometimes described as a pulse effect or a cumulative effect). They also allow for a variety of shock histories to be applied to the independent variable (beyond just a one-time, one-unit increase) as well as the recovery of inferences in levels for shocks applied to (in)dependent variables in differences through the Generalized Dynamic Response Function. These tools are also available for the general [...truncated...]
Author: Soren Jordan [aut, cre, cph] , Garrett N. Vande Kamp [aut], Reshi Rajan [aut]
Maintainer: Soren Jordan <sorenjordanpols@gmail.com>

Diff between tseffects versions 0.3.1 dated 2026-07-15 and 0.4.1 dated 2026-10-02

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Package StreamCatTools updated to version 0.12.0 with previous version 0.11.0 dated 2026-05-14

Title: Tools for Working with 'StreamCat' and 'LakeCat' Data
Description: Tools for using the 'StreamCat' and 'LakeCat' API and interacting with the 'StreamCat' and 'LakeCat' database. Convenience functions in the package wrap the API for 'StreamCat' on <https://api.epa.gov/StreamCat/streams/metrics>.
Author: Marc Weber [aut, cre], Ryan Hill [aut], Selia Markley [aut], Travis Hudson [aut], Allen Brookes [aut], David Rebhuhn [ctb], Michael Dumelle [ctb], Justin Bousquin [ctb], Zachary Smith [ctb]
Maintainer: Marc Weber <weber.marc@epa.gov>

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Package rlmstudio updated to version 0.3.0 with previous version 0.2.2 dated 2026-05-05

Title: Access and Control LM Studio
Description: Run local Large Language Models (LLMs) over many texts from 'R' without sending data to a third party. A community-maintained wrapper for the 'LM Studio' command line interface and API that provides functions to manage the local daemon and server, download and load models, and score, label, or generate text at scale.
Author: Jeffrey Girard [aut, cph, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>

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Package rgrpc updated to version 0.1.2 with previous version 0.1.1 dated 2026-09-17

Title: Asynchronous 'gRPC' Client and Server Runtime
Description: A first-class asynchronous 'gRPC' <https://grpc.io/> runtime built on the generic asynchronous 'C++' API ('GenericStub', 'AsyncGenericService') <https://grpc.github.io/grpc/cpp/>. Requests and responses cross the native boundary as method names plus opaque byte buffers; 'RProtoBuf' supplies and consumes the bytes, so schemas are loaded at runtime and no generated service stubs are required. Native completion threads never call the R API: completions are queued natively and delivered in batches on the R main thread. Complements 'RProtoBuf' rather than replacing it. Links against the system 'gRPC' library for 'C++'.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package waou updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-15

Title: Weighting All of Us
Description: Utilities for using a probability sample to reweight prevalence estimates calculated from the All of Us research program. Weighted estimates will still not be representative of the general U.S. population. However, they will provide an early indication for how unweighted estimates may be biased by the sampling bias in the All of Us sample.
Author: Daniel Brannock [aut, cre] , Mahmoud Elkasabi [aut] , Barrett Montgomery [aut]
Maintainer: Daniel Brannock <mbrannock@rti.org>

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Package swash updated to version 3.0.0 with previous version 2.0.2 dated 2026-08-30

Title: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data
Description: Within epidemic outbreaks, infections grow and decline differently between regions, and the velocity of spatial spread differs between countries. The swash library offers a set of model-based analyses for these topics. Spread velocity may be analysed with the Swash-Backwash Model for the Single Epidemic Wave and corresponding functions for bootstrap confidence intervals, country comparison, and visualization of results. Differences in epidemic growth between regions may be analysed using logistic growth models, exponential growth models, Hawkes processes and breakpoint analyses. Cluster and hotspot analyses can be conducted using neighborhood matrices. All functionalities are accessed by the class "infpan" for infections panel data defined in this package, which is built from a data.frame provided by the user.
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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Package RZooRoH updated to version 0.4.2 with previous version 0.4.1 dated 2025-06-08

Title: Partitioning of Individual Autozygosity into Multiple Homozygous-by-Descent Classes
Description: Functions to identify Homozygous-by-Descent (HBD) segments associated with runs of homozygosity (ROH) and to estimate individual autozygosity (or inbreeding coefficient). HBD segments and autozygosity are assigned to multiple HBD classes with a model-based approach relying on a mixture of exponential distributions. The rate of the exponential distribution is distinct for each HBD class and defines the expected length of the HBD segments. This rate is called the "rate of coancestry change". The HBD classes are therefore related to the age of the segments (longer segments and smaller rates for recent autozygosity / recent common ancestor). The functions allow to estimate the parameters of the model (rates of the exponential distributions called also rates of coancestry change; mixing proportions related to the inbreeding rate per layer or generation), to estimate global and local autozygosity probabilities and to identify HBD segments with the Viterbi decoding. Functions also allow to co [...truncated...]
Author: Tom Druet [aut, cre], Naveen Kumar Kadri [aut], Natalia Forneris [ctb], Pierre Faux [ctb], Amandine Bertrand [ctb], Mathieu Gautier [aut]
Maintainer: Tom Druet <tom.druet@uliege.be>

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Package pkgcheck updated to version 0.3.2 with previous version 0.3.1 dated 2026-09-28

Title: Package Checks for 'rOpenSci'
Description: Check whether a package is ready for submission to the 'rOpenSci' peer review system ('rOpenSci' authors (2026) <doi:10.5281/zenodo.2553043> "'rOpenSci' Packages: Development, Maintenance, and Peer Review"). Incorporates the 'goodpractice' package and many additional checks, including aspects related to maintenance of online public code repositories.
Author: Mark Padgham [aut, cre] , Maelle Salmon [aut], Jacob Wujciak-Jens [aut] , Kelli F. Johnson [ctb] , Eunseop Kim [aut] , Katrina Brock [ctb] , Andy Teucher [aut] , Eric R. Scott [aut]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package CopulaREMADA updated to version 1.8.1 with previous version 1.7.5 dated 2025-05-27

Title: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
Description: The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595> and Nikoloulopoulos (2018) <doi:10.1007/s10182-017-0299-y>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913 [...truncated...]
Author: Aristidis K. Nikoloulopoulos [aut, cre]
Maintainer: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>

Diff between CopulaREMADA versions 1.7.5 dated 2025-05-27 and 1.8.1 dated 2026-10-02

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Package warbleR updated to version 1.1.38 with previous version 1.1.37 dated 2025-10-22

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for exploring and quantifying acoustic signal structure. The package allows users to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals (Araya-Salas and Smith-Vidaurre 2017 <doi:10.1111/2041-210X.12624>).
Author: Marcelo Araya-Salas [aut, cre] , Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package treeSS updated to version 0.2.9 with previous version 0.2.6 dated 2026-07-28

Title: Tree-Spatial Scan Statistic for Cluster Detection
Description: Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
Author: Allan Quadros [aut, cre] , Andre L. F. Cancado [aut]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package odbc updated to version 1.7.2 with previous version 1.7.1 dated 2026-09-16

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut], Hadley Wickham [aut, cre], Oliver Gjoneski [aut], Simon Couch [aut], lexicalunit [cph] , Google Inc. [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package shinylight updated to version 1.3 with previous version 1.2 dated 2024-04-22

Title: Web Interface to 'R' Functions
Description: Web front end for your 'R' functions producing plots or tables. If you have a function or set of related functions, you can make them available over the internet through a web browser. This is the same motivation as the 'shiny' package, but note that the development of 'shinylight' is not in any way linked to that of 'shiny' (beyond the use of the 'httpuv' package). You might prefer 'shinylight' to 'shiny' if you want a lighter weight deployment with easier horizontal scaling, or if you want to develop your front end yourself in JavaScript and HTML just using a lightweight remote procedure call interface to your R code on the server.
Author: Pieter Vermeesch [aut], Tim Band [aut, cre]
Maintainer: Tim Band <t.band@ucl.ac.uk>

Diff between shinylight versions 1.2 dated 2024-04-22 and 1.3 dated 2026-10-02

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Package rolog readmission to version 0.9.29 with previous version 0.9.28 dated 2026-06-25

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
Author: Matthias Gondan [aut, com, cre] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

This is a re-admission after prior archival of version 0.9.28 dated 2026-06-25

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Package mdsOpt updated to version 0.8-1 with previous version 0.7-7 dated 2025-06-27

Title: Searching for Optimal MDS Procedure for Metric, Nonmetric and Interval-Valued Data
Description: Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Dehnel, G., Walesiak, M. (2019) <doi:10.21307/stattrans-2019-014>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>), Walesiak, M., Dehnel, G. (2020) <doi:10.3390/su12187664>, Walesiak, M., Dehnel, G., Dudek, A. (2025) <doi:10.15611/aoe.2025.1.12>, Walesiak, M., Deh [...truncated...]
Author: Marek Walesiak [aut] , Andrzej Dudek [aut, cre]
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>

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Package freestiler updated to version 0.3.0 with previous version 0.2.0 dated 2026-06-24

Title: Create Vector Tiles from Spatial Data
Description: Create vector tile archives in 'PMTiles' format from 'sf' spatial data frames. Supports 'Mapbox Vector Tile' ('MVT') and 'MapLibre Tile' ('MLT') output formats. Uses a 'Rust' backend via 'extendr' for fast, in-memory tiling with zero external system dependencies.
Author: Kyle Walker [aut, cre], Mapbox [cph] ), Vladimir Agafonkin [cph] )
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package CspStandSegmentation readmission to version 0.2.1 with previous version 0.2.0 dated 2026-02-17

Title: Comparative Shortest Path Forest Stand Segmentation from LiDAR Data
Description: Functionality for segmenting individual trees from a forest stand scanned with a close-range (e.g., terrestrial or mobile) laser scanner. The complete workflow from a raw point cloud to a complete tabular forest inventory is provided. The package contains several algorithms for detecting tree bases and a graph-based algorithm to attach all remaining points to these tree bases. It builds heavily on the 'lidR' package. A description of the segmentation algorithm can be found in Larysch et al. (2025) <doi:10.1007/s10342-025-01796-z>.
Author: Julian Frey [aut, cre] , Zoe Schindler [ctb] , Katja Kroener [ctb]
Maintainer: Julian Frey <julian.frey@wwd.uni-freiburg.de>

This is a re-admission after prior archival of version 0.2.0 dated 2026-02-17

Diff between CspStandSegmentation versions 0.2.0 dated 2026-02-17 and 0.2.1 dated 2026-10-02

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Package ciecl updated to version 1.0.0 with previous version 0.9.6 dated 2026-04-19

Title: International Classification of Diseases 'ICD-10'/'ICD-11' for Chile
Description: Tools for working with the International Classification of Diseases ('ICD-10' Chile official 'MINSAL'/'DEIS' v2018). Includes optimized 'SQL' search with 'SQLite', fuzzy matching of medical terms ('Jaro-Winkler'), Charlson and Elixhauser comorbidity calculation, 'WHO' 'ICD-11' 'API' integration, and hierarchical code validation. Data from Centro FIC Chile 'DEIS' <https://deis.minsal.cl/centrofic/>.
Author: Rodolfo Tasso Suazo [aut, cre] , Francisca Jofre [ctb] , Maelle Salmon [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/765>), Yanina Bellini [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/765 [...truncated...]
Maintainer: Rodolfo Tasso Suazo <rtasso@uchile.cl>

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Package pvaluefunctions updated to version 1.7.0 with previous version 1.6.3 dated 2025-09-15

Title: Creates and Plots P-Value Functions, S-Value Functions, Confidence Distributions and Confidence Densities
Description: Contains functions to compute and plot confidence distributions, confidence densities, p-value functions and s-value (surprisal) functions for several commonly used estimates. Instead of just calculating one p-value and one confidence interval, p-value functions display p-values and confidence intervals for many levels thereby allowing to gauge the compatibility of several parameter values with the data. These methods are discussed by Infanger D, Schmidt-Trucksäss A. (2019) <doi:10.1002/sim.8293>; Poole C. (1987) <doi:10.2105/AJPH.77.2.195>; Schweder T, Hjort NL. (2002) <doi:10.1111/1467-9469.00285>; Bender R, Berg G, Zeeb H. (2005) <doi:10.1002/bimj.200410104> ; Singh K, Xie M, Strawderman WE. (2007) <doi:10.1214/074921707000000102>; Rothman KJ, Greenland S, Lash TL. (2008, ISBN:9781451190052); Amrhein V, Trafimow D, Greenland S. (2019) <doi:10.1080/00031305.2018.1543137>; Greenland S. (2019) <doi:10.1080/00031305.2018.1529625> and Rafi Z, Gre [...truncated...]
Author: Denis Infanger [aut, cre]
Maintainer: Denis Infanger <denis.infanger@unibas.ch>

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Package mapgl updated to version 0.5.2 with previous version 0.5.0 dated 2026-06-20

Title: Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS'
Description: Provides an interface to the 'Mapbox GL JS' (<https://docs.mapbox.com/mapbox-gl-js/guides>) and the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) interactive mapping libraries to help users create custom interactive maps in R. Users can create interactive globe visualizations; layer 'sf' objects to create filled maps, circle maps, 'heatmaps', and three-dimensional graphics; and customize map styles and views. The package also includes utilities to use 'Mapbox' and 'MapLibre' maps in 'Shiny' web applications.
Author: Kyle Walker [aut, cre], Egor Kotov [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package uqsa updated to version 0.8.1 with previous version 0.8.0 dated 2026-09-24

Title: Uncertainty Quantification and Global Sensitivity Analysis
Description: In the field of systems biology, chemical reaction networks are modeled in various ways, two of those are: (i) stochastic simulations (e.g. Gillespie algorithm) and (ii) ordinary differential equations. In this package we use a simple tabular model description of reaction systems and automatically generate C code for either solver type. We use the ordinary differential equation solvers from the GNU Scientific Library and provide an interface that deals with lists of simulation experiments. Each simulation experiment contains both the data, and instructions for the model to replicate the data. We use approximate Bayesian computation methods (combined with Markov chain Monte Carlo and sequential Monte Carlo, particle filters) as well as classic methods such as Random Walk Metropolis (Gaussian transition kernel) and Simplified Manifold Metropolis adjusted Langevin algorithm for a Bayesian investigation of the model´s parameter space. Experiments can be evaluated in a sequence; intermediat [...truncated...]
Author: Alexandra Jauhiainen [aut], Olivia Eriksson [aut, ctb, cph], Federica Milinanni [aut], Andrei Kramer [cre]
Maintainer: Andrei Kramer <andreikr@kth.se>

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Package SuperSurv updated to version 0.1.9 with previous version 0.1.7 dated 2026-06-11

Title: A Unified Framework for Machine Learning Ensembles in Survival Analysis
Description: Implements a Super Learner framework for right-censored survival data. The package fits convex combinations of parametric, semiparametric, and machine learning survival learners by minimizing cross-validated risk using inverse probability of censoring weighting (IPCW). It provides tools for automated hyperparameter grid search, high-dimensional variable screening, and evaluation of prediction performance using metrics such as the Brier score, Uno's C-index, and time-dependent area under the curve (AUC). Additional utilities support model interpretation for survival ensembles, including Shapley additive explanations (SHAP), and estimation of covariate-adjusted restricted mean survival time (RMST) contrasts. The methodology is related to treatment-specific survival curve estimation using machine learning described by Westling et al. (2024) <doi:10.1080/01621459.2023.2205060>, and the unified ensemble framework described in Lyu et al. (2026) <doi:10.64898/2026.03.11.711010>.
Author: Yue Lyu [aut, cre]
Maintainer: Yue Lyu <yuelyu0521@gmail.com>

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New package TEMPO with initial version 0.1.0
Package: TEMPO
Title: Tools for Romania's National Institute of Statistics Tempo Data
Version: 0.1.0
Maintainer: Marian Necula <marian.necula00@gmail.com>
Description: Download table metadata and data from the Romanian National Institute of Statistics' TEMPO Online database. Tables can be listed in Romanian or English and downloaded as CSV files.
License: GPL-3 | EUPL-1.1
URL: https://github.com/RProjectRomania/TEMPO
BugReports: https://github.com/RProjectRomania/TEMPO/issues
Depends: R (>= 3.6)
Imports: curl (>= 5.0.0), jsonlite (>= 1.7.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-23 07:22:27 UTC; Marian
Author: Marian Necula [aut, cre], Bogdan Oancea [aut], Ana Maria Tiru [aut]
Repository: CRAN
Date/Publication: 2026-10-02 12:20:02 UTC

More information about TEMPO at CRAN
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Package spant updated to version 4.5.0 with previous version 4.4.0 dated 2026-08-24

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin.wilson111@gmail.com>

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Package PathwaySpace updated to version 1.5.2 with previous version 1.5.1 dated 2026-08-24

Title: Spatial Projection of Network Signals along Geodesic Paths
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' has various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. By combining graph theory, signal processing, and visualization, 'PathwaySpace' provides a way of representing graph data on a continuous projection space. Based on methods introduced in Tercan et al. (2025) <doi:10.1016/j.xpro.2025.103681> and Ellrott et al. (2025) <doi:10.1016/j.ccell.2024.12.002>.
Author: Sysbiolab Team [aut], Victor Apolonio [ctb], Jonathan Back [ctb], Lana Querne [ctb], Vinicius Chagas [ctb], Bahar Tercan [ctb], Mauro Castro [cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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New package PBGoF with initial version 0.1.0
Package: PBGoF
Title: Parametric Bootstrap Tests for the Skew-Normal Distribution
Version: 0.1.0
Date: 2026-09-23
Maintainer: Hongxiang Li <hxli@ynnu.edu.cn>
Depends: R (>= 4.1)
Description: Provides goodness-of-fit tests for the skew-normal distribution with estimated parameters. Implements Kolmogorov-Smirnov and Cramér-von Mises tests using parametric bootstrap or precomputed simulation quantiles, together with robust parameter estimation procedures. Package methods and documentation are described by Li and Khang (2026) <https://github.com/Divo-Lee/PBGoF>.
Imports: methods, sn
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-23 06:56:25 UTC; chels
Author: Hongxiang Li [aut, cre], Tsung Fei Khang [aut]
Repository: CRAN
Date/Publication: 2026-10-02 12:10:09 UTC

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Package BrazilMet updated to version 0.5.0 with previous version 0.4.0 dated 2025-05-23

Title: Download and Processing of Automatic Weather Stations (AWS) Data of INMET-Brazil
Description: A collection of functions for downloading and processing automatic weather station (AWS) data from INMET (Brazil’s National Institute of Meteorology), designed to support the estimation of reference evapotranspiration (ETo). The package facilitates streamlined access to meteorological data and aims to simplify analyses in agricultural and environmental contexts.
Author: Roberto Filgueiras [aut, cre] , Luan P. Venancio [aut] , Catariny C. Aleman [aut] , Fernando F. da Cunha [aut] , Arthur T. Calegario [ctb]
Maintainer: Roberto Filgueiras <betofilgueiras@gmail.com>

Diff between BrazilMet versions 0.4.0 dated 2025-05-23 and 0.5.0 dated 2026-10-02

 DESCRIPTION                           |   12 +
 MD5                                   |   72 +++++++---
 NAMESPACE                             |    6 
 NEWS.md                               |   18 ++
 R/climatological_normal_CWS.R         |    9 -
 R/daily_download_AWS_INMET.R          |  226 ++++++++++++++++++++--------------
 R/eto_hs.R                            |   14 +-
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 R/hourly_download_AWS_INMET.R         |   17 +-
 R/max_eto_grid_download.R             |  101 ++++++---------
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 R/variables_air_humidity.R            |    2 
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 README.md                             |   42 +-----
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 man/design_eto.Rd                     |   58 ++++----
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 36 files changed, 660 insertions(+), 584 deletions(-)

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New package UlavalSSD with initial version 0.3.1
Package: UlavalSSD
Title: Quebec Data and Tools for Introductory Data Science
Version: 0.3.1
Description: Historical weather observations and food-establishment conviction records from Quebec for teaching data import, missing values, exploratory analysis and reproducible reporting. Includes bilingual prompts and feedback for a penguin data-cleaning exercise, and an optional static R code-style diagnostic based on 'lintr', as described by Hester and others (2025) <doi:10.21105/joss.07240>. Data are distributed as fixed teaching snapshots and require no network access during use.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: knitr, lintr (>= 3.4.0), rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/AurelienNicosiaULaval/UlavalSSD
BugReports: https://github.com/AurelienNicosiaULaval/UlavalSSD/issues
NeedsCompilation: no
Packaged: 2026-09-22 21:32:52 UTC; runner
Author: Aurelien Nicosia [aut, cre]
Maintainer: Aurelien Nicosia <nicosia.aurelien@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 11:10:02 UTC

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New package PDRobust with initial version 0.3.8
Package: PDRobust
Title: Robust Longitudinal Effects Under Truncation by Death
Version: 0.3.8
Description: Implements principal-stratification methods for estimating time-specific and pooled heterogeneous treatment effects in longitudinal studies where outcomes may be truncated by death. Supports continuous and binary outcomes, explicit data validation and standardization, and covariate-dependent treatment effects. Fits propensity-score, principal-score, and outcome models and provides subject-level bootstrap inference, covariate-balance diagnostics, principal-stratum summaries, treatment-group-specific survival odds ratios, and outcome-noise sensitivity analysis. Methodological background is provided in <doi:10.48550/arXiv.2608.06654>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: ggplot2, quantreg, rootSolve, stats, utils
Suggests: knitr, ragg, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: xz
URL: https://github.com/whhuan/PD_Robust, https://whhuan.github.io/PD_Robust/
BugReports: https://github.com/whhuan/PD_Robust/issues
NeedsCompilation: no
Packaged: 2026-09-23 01:10:00 UTC; sunday
Author: Huan Wang [aut, cre], Yilin Zhang [aut]
Maintainer: Huan Wang <whhuan42@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 11:20:02 UTC

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New package mudnester with initial version 0.7.8
Package: mudnester
Title: Surveillance Data Cleaning and Preparation for Public Health
Version: 0.7.8
Description: Clean, prepare, and aggregate surveillance data for public health analysis. Provides structural data cleaning and standardisation (clean_the_nest()), age categorisation against ~50 published schemes with publication-ready labelling (preening()), time-unit aggregation with zero-filling and seasonal awareness (roost()), joint aggregation of several linked event dates (e.g. onset, admission, ICU, complication, fatality) into one table of comparable rate columns (flyway()), under-ascertainment correction via a stratified, time-varying multiplier factor supplied directly, derived by the ratio (multiplier) method, or derived by inverting an externally sourced severity rate (e.g. an infection-fatality-rate anchor) against an observed severity ratio (corncrake()), comorbidity detection from ICD-10-AM clinical coding (plumage()), vaccine coverage data construction (brood()), hash-based de-identification (molting()), and relinking of previously de-identified data (homing()). brood() produces a b [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: dplyr (>= 1.1.0), tidyr (>= 1.3.0), lubridate (>= 1.9.0), stringr (>= 1.5.0), rlang (>= 1.1.0), tibble (>= 3.2.0), digest (>= 0.6.30), janitor (>= 2.2.0), utils, stats
Suggests: testthat (>= 3.0.0), knitr (>= 1.42), rmarkdown (>= 2.20), usethis (>= 2.1.0), gtsummary, ggplot2
Encoding: UTF-8
Language: en-GB
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/nrsmoll/mudnester
BugReports: https://github.com/nrsmoll/mudnester/issues
NeedsCompilation: no
Author: Nicolas Smoll [aut, cre] , Moderna [fnd]
Maintainer: Nicolas Smoll <nicolas.smoll@health.qld.gov.au>
Packaged: 2026-09-23 03:20:56 UTC; SmollN
Repository: CRAN
Date/Publication: 2026-10-02 11:50:02 UTC

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New package eduResearchR with initial version 0.1.0
Package: eduResearchR
Title: A Collection of Educational Datasets for Research and Statistical Analysis
Version: 0.1.0
Maintainer: Jorge Luis Marmanillo Santana <jlmarmanillo@gmail.com>
Description: Curates a comprehensive and robust collection of 15 classic educational, economic, and social science datasets meticulously tailored for empirical research, project-based learning, and academic instruction in higher education. It streamlines exploratory data analysis, business intelligence modeling, regression techniques, and hypothesis testing by providing ready-to-use data structures sourced from prominent community packages (Kleiber and Zeileis (2008) <https://CRAN.R-project.org/package=AER>; Fox and Weisberg (2019) <https://CRAN.R-project.org/package=carData>).
License: GPL-3
Language: en
URL: https://github.com/jlmarmanillo-jlms/eduResearchR
BugReports: https://github.com/jlmarmanillo-jlms/eduResearchR/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports:
Suggests: ggplot2, testthat (>= 3.0.0), dplyr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-23 05:03:39 UTC; jlmar
Author: Jorge Luis Marmanillo Santana [aut, cre] , Christian Kleiber [ctb] , John Fox [ctb] , Douglas Bates [ctb] , Thomas Lumley [ctb] , Jeremy Finn [ctb] .), Andrew Raudenbush [ctb]
Repository: CRAN
Date/Publication: 2026-10-02 11:50:09 UTC

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Package worldbank updated to version 0.11.0 with previous version 0.10.0 dated 2026-08-21

Title: Client for the 'World Bank' APIs
Description: Download and search data from the 'World Bank' APIs, including the 'Indicators' API, the 'Poverty and Inequality Platform (PIP)' API, the 'Finances One' API, the 'Projects' API, and the 'Documents & Reports' API. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889386-developer-information-overview> for further details.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between worldbank versions 0.10.0 dated 2026-08-21 and 0.11.0 dated 2026-10-02

 DESCRIPTION                             |   13 -
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 NAMESPACE                               |    4 
 NEWS.md                                 |   29 +++
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 R/fone.R                                |    3 
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 43 files changed, 1158 insertions(+), 252 deletions(-)

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New package timesift with initial version 0.3.1
Package: timesift
Title: Learn Predictive Representations of Time-Varying Data
Version: 0.3.1
Description: Fits and compares representations of time-varying data against a prediction target. Given a table of targets and a table of time-stamped series belonging to them, it builds each candidate representation, from the record unreduced through a calendar grain such as a week or a month to a lookback anchored on each target, fits the requested learners on each, scores every candidate on one set of held-out folds, and stacks the out-of-fold predictions into an ensemble. Calendar-aware binning keeps a bin a real week or month rather than a fixed block of hours. Learners, response heads and metrics are registered rather than hard-coded, so adding one is a registration and not a fork of the fitting code. The penalised baseline is an elastic net fitted by cyclic coordinate descent along a warm-started path, following Friedman, Hastie and Tibshirani (2010) <doi:10.18637/jss.v033.i01>. The shipped default is presence-absence with a joint multi-label head scored by the true skill statistic of A [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://gillescolling.com/timesift/, https://github.com/gcol33/timesift
BugReports: https://github.com/gcol33/timesift/issues
Depends: R (>= 4.1)
LinkingTo: cpp11
Imports: grDevices, graphics, rlang, stats, tidyselect (>= 1.2.0), tools, utils
Suggests: testthat (>= 3.0.0), torch, glmnet, ranger, lme4, lmerTest, emmeans, knitr, rmarkdown, spelling, withr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-22 20:07:12 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 10:40:02 UTC

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New package shinyHierarchy with initial version 0.1.0
Package: shinyHierarchy
Title: Hierarchical Input Component for Shiny
Version: 0.1.0
Description: Hierarchical slicer-style input for Shiny applications with multi-selection, tri-state checkboxes, search, cascading selection, and a structured selection value for analytics workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: shiny, htmltools, jsonlite
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-22 19:07:52 UTC; luis.rodriguez
Author: Luis Rodriguez [aut, cre]
Maintainer: Luis Rodriguez <devmazter92@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 10:10:09 UTC

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New package pubformat with initial version 0.1.0
Package: pubformat
Title: Publication-Ready Formatting for Statistical Results
Version: 0.1.0
Description: Provides tools for converting statistical results into consistent, publication-ready character output. Current functionality includes formatting p-values, confidence intervals, and correlation coefficients using publication-friendly conventions. The package emphasizes consistent reporting while preserving the underlying statistical results and statistical decision-making.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/Reynolds826/pubformat
BugReports: https://github.com/Reynolds826/pubformat/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-22 19:54:56 UTC; rballotti
Author: RJ Ballotti [aut, cre]
Maintainer: RJ Ballotti <rballotti@coastal.edu>
Repository: CRAN
Date/Publication: 2026-10-02 10:50:02 UTC

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New package likingInitiative with initial version 0.2.2
Package: likingInitiative
Title: Access the Liking Rating Database
Version: 0.2.2
Description: Download and work with the Liking Rating Database, a curated collection of subjective liking ratings from published decision-making studies, described in Fernandez, Goyal and Krajbich (2026) <doi:10.5281/zenodo.22216442>. Data is read from versioned release files and cached for the session, so a pinned version returns the same rows regardless of when it is run. Provides access by dataset, by item across studies, or as the whole corpus, together with the metadata and citations needed to report it.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, fs, httr2, jsonlite, readr, tibble, tools
Suggests: testthat (>= 3.0.0)
URL: https://liking-rating-frontend.onrender.com, https://github.com/liking-initiative/likingInitiative-r
BugReports: https://github.com/liking-initiative/likingInitiative-r/issues
NeedsCompilation: no
Packaged: 2026-09-22 19:57:00 UTC; kiante
Author: Kiante Fernandez [aut, cre, cph]
Maintainer: Kiante Fernandez <kiantefernan@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 10:50:07 UTC

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Package greybox updated to version 2.0.9 with previous version 2.0.8 dated 2026-02-22

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] , Yves R. Sagaert [ctb]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

Diff between greybox versions 2.0.8 dated 2026-02-22 and 2.0.9 dated 2026-10-02

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Package float updated to version 0.3-4 with previous version 0.3-3 dated 2025-03-12

Title: 32-Bit Floats
Description: R comes with a suite of utilities for linear algebra with "numeric" (double precision) vectors/matrices. However, sometimes single precision (or less!) is more than enough for a particular task. This package extends R's linear algebra facilities to include 32-bit float (single precision) data. Float vectors/matrices have half the precision of their "numeric"-type counterparts but are generally faster to numerically operate on, for a performance vs accuracy trade-off. The internal representation is an S4 class, which allows us to keep the syntax identical to that of base R's. Interaction between floats and base types for binary operators is generally possible; in these cases, type promotion always defaults to the higher precision. The package ships with copies of the single precision 'BLAS' and 'LAPACK', which are automatically built in the event they are not available on the system.
Author: Drew Schmidt [aut, cph], Stefano Cacciatore [aut, cre], Wei-Chen Chen [aut], Dmitriy Selivanov [ctb] , ORNL [cph]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

Diff between float versions 0.3-3 dated 2025-03-12 and 0.3-4 dated 2026-10-02

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 16 files changed, 156 insertions(+), 51 deletions(-)

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Package ClickHouseHTTP updated to version 1.1.2 with previous version 1.0.0 dated 2026-05-18

Title: A Simple HTTP Database Interface to 'ClickHouse'
Description: 'ClickHouse' (<https://clickhouse.com/>) is an open-source, high performance columnar OLAP (online analytical processing of queries) database management system for real-time analytics using SQL. This 'DBI' backend relies on the 'ClickHouse' HTTP interface and support HTTPS protocol.
Author: Patrice Godard [aut, cre, cph] , Eusebiu Marcu [ctb]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between ClickHouseHTTP versions 1.0.0 dated 2026-05-18 and 1.1.2 dated 2026-10-02

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 13 files changed, 465 insertions(+), 318 deletions(-)

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Package censReg updated to version 0.5-40 with previous version 0.5-38 dated 2024-05-20

Title: Censored Regression (Tobit) Models
Description: Maximum Likelihood estimation of censored regression (Tobit) models with cross-sectional and panel data.
Author: Arne Henningsen [aut, cre]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

Diff between censReg versions 0.5-38 dated 2024-05-20 and 0.5-40 dated 2026-10-02

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 19 files changed, 120 insertions(+), 162 deletions(-)

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Package bigbang updated to version 0.5.0 with previous version 0.4.0 dated 2026-08-19

Title: Build 'Tidyverse'-Style Meta-Packages from Local Package Files
Description: Turns a curated set of package archives (.tar.gz, .zip) into one meta-package in the style of the 'tidyverse', so that a group of interdependent packages can be distributed and installed as a single unit. The generated meta-package records the exact archive versions it was built from and installs its components in dependency order, so that whoever receives it does not have to work out which package to install first. The component archives are copied into the generated meta-package, so it is the only artifact that has to be distributed and no directory has to be agreed on between machines. Resolves dependencies by building a graph with topological ordering and cycle detection, classifies them as local or external, and detects implicit dependencies by scanning source code. Installation needs no repository access unless a component depends on a package that only exists in one, which suits teams working behind institutional firewalls. Generates the complete meta-package scaffold, including [...truncated...]
Author: Sebastian Lucas [aut, cre] , Richard Detomasi [ctb]
Maintainer: Sebastian Lucas <sebalucas@gmail.com>

Diff between bigbang versions 0.4.0 dated 2026-08-19 and 0.5.0 dated 2026-10-02

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New package zujson with initial version 0.1.0
Package: zujson
Title: Lightweight JSON Parsing and Serialization
Version: 0.1.0
Description: Converts between JSON text and ordinary R vectors and lists through a small, predictable set of functions, backed by vendored 'yyjson' <https://github.com/ibireme/yyjson> and requiring no system JSON library. Parsing accepts character, raw and file input and reports failures through structured conditions; serialization writes UTF-8 bytes suitable for use directly as an HTTP request body. The type mapping is deliberately narrow and fully documented, so what goes in and what comes out are both predictable.
License: MIT + file LICENSE
URL: https://github.com/pedrobtz/zujson, https://pedrobtz.github.io/zujson/
BugReports: https://github.com/pedrobtz/zujson/issues
Encoding: UTF-8
Language: en-GB
Imports: utils
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.2.0), withr
NeedsCompilation: yes
Packaged: 2026-09-18 13:05:38 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], YaoYuan [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 09:10:01 UTC

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New package yaleBraille with initial version 0.2.2
Package: yaleBraille
Title: Generate Braille-Enabled Graphics
Version: 0.2.2
Description: Provides tools for rendering and visualizing Braille patterns in R, using the liblouis translation library. For more information see <https://github.com/wininger/yaleBraille>.
License: LGPL (>= 2.1)
Imports: grDevices, graphics, stats, sysfonts, showtext
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
URL: https://github.com/wininger/yaleBraille
BugReports: https://github.com/wininger/yaleBraille/issues
LazyData: true
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Packaged: 2026-09-22 16:08:43 UTC; wininger
Author: Mike Wininger [aut, cre] , liblouis contributors [ctb, cph] )
Maintainer: Mike Wininger <michael.wininger@yale.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-10-02 09:50:02 UTC

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New package rumenGP with initial version 0.1.1
Package: rumenGP
Title: Rumen Gas Production Modeling, Comparison, and Visualization
Version: 0.1.1
Description: Provides tools for importing, processing, visualizing, fitting, comparing, and interpreting in vitro rumen gas production data. Supports ANKOM RF workflows, generic gas production datasets, and pressure-based measurements. Includes multiple kinetic models, custom nonlinear models, model comparison workflows, treatment-level ranking, diagnostic tools, and visualization functions for rumen fermentation studies.
License: MIT + file LICENSE
URL: https://araujorodrig-lab.github.io/rumenGP/, https://github.com/araujorodrig-lab/rumenGP
BugReports: https://github.com/araujorodrig-lab/rumenGP/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, lubridate, minpack.lm, purrr, readxl, tidyr
Suggests: knitr, rmarkdown, pkgdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-22 18:30:18 UTC; Arlan
Author: Arlan Araujo Rodrigues [aut, cre], Hilario Cuquetto Mantovani [aut]
Maintainer: Arlan Araujo Rodrigues <araujorodrig@wisc.edu>
Repository: CRAN
Date/Publication: 2026-10-02 10:00:02 UTC

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New package rMDSPTT with initial version 0.1.0
Package: rMDSPTT
Title: Multiple Dependent State Sampling Inspection Plan for Time Truncated Life Test
Version: 0.1.0
Description: Provides functions for designing multiple dependent state sampling inspection plans for time-truncated life tests. The package determines the minimum sample size required to satisfy a specified consumer's risk constraint and evaluates the probability of acceptance under different quality and termination ratios. Users can directly provide failure probabilities, allowing the sampling plan to be applied to different lifetime distributions without requiring distribution-specific functions. Provide operating characteristic analysis, sample size analysis, and graphical comparison with single sampling inspection plans. Aslam et al. (2016) <doi:10.1080/08982112.2015.1068331>; Rao et al. (2020) <doi:10.1080/25742558.2020.1857915>; Balamurali et al. (2017) <doi:10.1080/07474946.2016.1275459>; Saha et al. (2021) <doi:10.1080/21681015.2021.1893843>; Tripathi et al. (2020) <doi:10.1007/s40745-020-00267-z>; Tripathi et al. (2023) <doi:10.1007/s41872-023-00221-x>.
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-22 17:04:49 UTC; Admin
Author: Harsh Tripathi [aut, cre]
Maintainer: Harsh Tripathi <rsearchstat21@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-02 10:00:13 UTC

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Package manydata updated to version 1.1.4 with previous version 1.1.3 dated 2025-09-30

Title: Many Global Governance Datacubes
Description: This is the core package offering a portal to the many packages universe. It includes functions to help researchers access, work across, and maintain ensembles of datasets on global governance called datacubes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [aut, ctb] , Bernhard Bieri [ctb] , Esther Peev [ctb] , Jael Tan [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between manydata versions 1.1.3 dated 2025-09-30 and 1.1.4 dated 2026-10-02

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Package koma readmission to version 0.4.0 with previous version 0.3.1 dated 2026-07-29

Title: Bayesian Simultaneous Equation Models for Forecasting
Description: Estimate and forecast Bayesian simultaneous equation models for macroeconomic time series. Provides tools to specify systems of behavioral equations and accounting identities, transform and manage time series, simulate from the posterior using a Metropolis-within-Gibbs sampler, and generate unconditional and conditional forecasts with user-defined priors and restrictions. Methods are described in Rathke A. and Sarferaz S. (forthcoming) "Bayesian Estimation of Simultaneous Equations Model".
Author: Samad Sarferaz [aut, cph] , Merlin Scherer [aut, cre, cph] , Laurent Florin [ctb], Andrew D. Martin [ctb, cph] , Kevin M. Quinn [ctb, cph] , Jong Hee Park [ctb, cph] , Bill Venables [ctb, cph] , Brian D. Ripley [ctb, cph]
Maintainer: Merlin Scherer <scherer@kof.ethz.ch>

This is a re-admission after prior archival of version 0.3.1 dated 2026-07-29

Diff between koma versions 0.3.1 dated 2026-07-29 and 0.4.0 dated 2026-10-02

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New package famnesia with initial version 0.1.1
Package: famnesia
Title: Anonymising Familias Files
Version: 0.1.1
Description: A 'shiny' application for anonymising files exported from the 'Familias' software for forensic kinship analysis (Egeland et al. (2000) <doi:10.1016/s0379-0738(00)00147-x>). Pedigrees, marker data, allele frequencies and mutation models can be masked or modified, with options for preserving likelihood ratios exactly. The application is built on the 'pedsuite' packages for pedigree analysis.
License: GPL (>= 3)
URL: https://magnusdv.shinyapps.io/famnesia/, https://github.com/magnusdv/famnesia
BugReports: https://github.com/magnusdv/famnesia/issues
Depends: R (>= 4.4)
Imports: DT, bslib (>= 0.11.0), htmltools, pedFamilias (>= 0.2.6), pedmut, pedprobr (>= 1.1.1), pedtools, shiny (>= 1.9.0), shinyjs
Encoding: UTF-8
Language: en-GB
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-20 12:40:02 UTC; magnu
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Repository: CRAN
Date/Publication: 2026-10-02 09:20:08 UTC

More information about famnesia at CRAN
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Package BayesBrainMap updated to version 0.3.1 with previous version 0.2.0 dated 2026-02-03

Title: Estimate Brain Networks and Connectivity with Population-Derived Priors
Description: Implements Bayesian brain mapping with population-derived priors, including the original model described in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638>, the model with spatial priors described in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>, and the model with population-derived priors on functional connectivity described in Mejia et al. (2025) <doi:10.1093/biostatistics/kxaf022>. Population-derived priors are based on templates representing established brain network maps, for example derived from independent component analysis (ICA), parcellations, or other methods.  Model estimation is based on expectation-maximization or variational Bayes algorithms. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Author: Amanda Mejia [aut, cre] , Damon Pham [aut] , Nohelia Da Silva [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

Diff between BayesBrainMap versions 0.2.0 dated 2026-02-03 and 0.3.1 dated 2026-10-02

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More information about BayesBrainMap at CRAN
Permanent link

Package dawaR (with last version 0.3.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-09-16 0.3.4
2026-08-27 0.3.3
2025-12-16 0.3.2
2025-11-18 0.3.1
2025-02-13 0.3.0
2024-12-07 0.2.7
2024-11-24 0.2.6
2024-11-17 0.2.4
2024-10-31 0.2.3

Permanent link
Package osrm updated to version 6.0.0 with previous version 5.0.0 dated 2025-12-17

Title: Interface Between R and the OpenStreetMap-Based Routing Service OSRM
Description: An interface between R and the 'OSRM' API. 'OSRM' is a routing service based on 'OpenStreetMap' data. See <https://project-osrm.org/> for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometric distance).
Author: Timothee Giraud [cre, aut] , Robin Cura [ctb] , Matthieu Viry [ctb] , Robin Lovelace [ctb] , Egor Kotov [ctb]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between osrm versions 5.0.0 dated 2025-12-17 and 6.0.0 dated 2026-10-02

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Package LMMsolver updated to version 1.0.14.1 with previous version 1.0.14 dated 2026-09-24

Title: Linear Mixed Models with Sparse Matrix Methods and Smoothing
Description: Provides tools for fitting linear mixed models using sparse matrix methods and variance component estimation. Applications include spline-based modeling of spatial and temporal trends using penalized splines (Boer, 2023) <doi:10.1177/1471082X231178591>.
Author: Martin Boer [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between LMMsolver versions 1.0.14 dated 2026-09-24 and 1.0.14.1 dated 2026-10-02

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Permanent link

Package tiltdens updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-28

Title: Tilted and Data-Sharpened Nonparametric Density Estimation
Description: High-order nonparametric density estimators built by perturbing a conventional kernel estimator, either by re-weighting the observations ("tilting") or by moving them ("data sharpening"). The perturbation is chosen so that the estimator inherits the fast convergence rate of an infinite-order kernel estimator, such as the sinc or trapezoidal flat-top estimator, while remaining a proper non-negative density without the oscillatory tails those estimators suffer from. Two criteria are provided: minimising the L2 distance to an infinite-order comparator, following Doosti and Hall (2016) <doi:10.1111/rssb.12112>, and minimising a cross-validation criterion that needs no comparator and is much faster, following Doosti, Hall and Mateu (2018) <doi:10.1016/j.jspi.2017.12.003>.
Author: Hassan Doosti [aut, cre, cph]
Maintainer: Hassan Doosti <hassan.doosti@mq.edu.au>

Diff between tiltdens versions 0.2.0 dated 2026-09-28 and 0.2.1 dated 2026-10-02

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Permanent link

Package rurl updated to version 3.1.0 with previous version 3.0.1 dated 2026-09-09

Title: Parse, Clean, and Normalize URLs
Description: A lightweight toolkit for extracting structured information from URLs. Includes functions for parsing, normalizing protocols, extracting domains, and constructing clean URLs. Domain and public-suffix extraction is delegated to the 'pslr' package, which implements the Public Suffix List from <https://publicsuffix.org>. Punycode and IDNA encoding is handled by the 'punycoder' package.
Author: Bart Turczynski [aut, cre]
Maintainer: Bart Turczynski <bartek@turczynski.pl>

Diff between rurl versions 3.0.1 dated 2026-09-09 and 3.1.0 dated 2026-10-02

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Permanent link

Package dendRoAnalyst updated to version 2.0.0 with previous version 0.1.6 dated 2026-05-20

Title: A Tool for Processing and Analyzing Dendrometer Data
Description: Tools for importing, cleaning, analyzing, and visualizing high-resolution dendrometer data and for linking them with climate data. Dendrometer and climate records can be imported with automatic date-time parsing (read.dendrometer(), read.climate()) and checked for a regular temporal resolution (reso_dm()). Preprocessing functions detect and correct artificial jumps with a threshold-based or an automatic changepoint method (jump.locator()), detect and fill gaps with spline, seasonal, or network interpolation (dm.na.interpolation(), network.interpolation()), and truncate or resample the series (dendro.truncate(), dendro.resample()). Daily statistics (daily.data()), the stem-cycle approach (phase.sc()), and the zero-growth approach (phase.zg()) separate radial growth from reversible stem shrinkage and swelling. The function phase.zg() also returns metrics of tree water deficit (TWD) phases, including the event-based ABr index, and the daily drought indices of Peters et al. (2025) <doi: [...truncated...]
Author: Sugam Aryal [aut, cre, dtc], Martin Haeusser [aut], Jussi Griessinger [aut], Ze-Xin Fan [aut], Achim Braeuning [aut, dgs]
Maintainer: Sugam Aryal <sugam.aryal@fau.de>

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 dendRoAnalyst-2.0.0/dendRoAnalyst/vignettes/dendRoAnalyst_vignettes.Rmd |   12 
 36 files changed, 2985 insertions(+), 2359 deletions(-)

More information about dendRoAnalyst at CRAN
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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.