Fri, 07 Nov 2025

Package visOmopResults updated to version 1.4.0 with previous version 1.3.1 dated 2025-10-09

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Marta Alcalde-Herraiz [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

Diff between visOmopResults versions 1.3.1 dated 2025-10-09 and 1.4.0 dated 2025-11-07

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More information about visOmopResults at CRAN
Permanent link

Package myTAI readmission to version 2.3.3 with previous version 0.9.3 dated 2021-02-24

Title: Evolutionary Transcriptomics
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2018) <doi:10.1093/bioinformatics/btx835>). This package aims to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest.
Author: Hajk-Georg Drost [aut, cre] , Stefan Manolache [aut, ctb] , Jaruwatana Sodai Lotharukpong [aut, ctb] , Nikola Kalabova [aut, ctb] , Filipa Martins Costa [aut, ctb], Kristian K Ullrich [aut, ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>

This is a re-admission after prior archival of version 0.9.3 dated 2021-02-24

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Package gpboost updated to version 1.6.4 with previous version 1.6.3 dated 2025-10-10

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.6.3 dated 2025-10-10 and 1.6.4 dated 2025-11-07

 DESCRIPTION                                                     |    8 
 MD5                                                             |   88 
 R/GPModel.R                                                     |  306 +--
 R/gpb.Booster.R                                                 |   27 
 R/gpb.plot.partial.dependence.R                                 |   22 
 README.md                                                       |    4 
 configure.ac                                                    |    2 
 demo/GPBoost_algorithm.R                                        |   10 
 demo/compare_usage_lme4_gpboost.R                               |    8 
 demo/examples_in_R_package_documentation.R                      |   14 
 demo/generalized_linear_Gaussian_process_mixed_effects_models.R |   95 -
 man/GPModel.Rd                                                  |    5 
 man/GPModel_shared_params.Rd                                    |   13 
 man/fit.GPModel.Rd                                              |    8 
 man/fit.Rd                                                      |    4 
 man/fitGPModel.Rd                                               |   19 
 man/get_coef.GPModel.Rd                                         |    8 
 man/get_coef.Rd                                                 |    8 
 man/get_cov_pars.GPModel.Rd                                     |    8 
 man/get_cov_pars.Rd                                             |    8 
 man/get_nested_categories.Rd                                    |    2 
 man/gpb.plot.part.dep.interact.Rd                               |    8 
 man/gpb.plot.partial.dependence.Rd                              |   14 
 man/predict.GPModel.Rd                                          |    4 
 man/set_optim_params.GPModel.Rd                                 |    4 
 man/set_optim_params.Rd                                         |    4 
 man/summary.GPModel.Rd                                          |    4 
 src/CG_utils.cpp                                                |   12 
 src/c_api.cpp                                                   |   34 
 src/gpboost_R.cpp                                               |   35 
 src/gpboost_R.h                                                 |   29 
 src/include/GPBoost/cov_fcts.h                                  |   49 
 src/include/GPBoost/likelihoods.h                               |  158 +
 src/include/GPBoost/re_comp.h                                   |   17 
 src/include/GPBoost/re_model.h                                  |   35 
 src/include/GPBoost/re_model_template.h                         |  895 +++++-----
 src/include/LightGBM/c_api.h                                    |   23 
 src/objective/regression_objective.hpp                          |   20 
 src/re_model.cpp                                                |  206 +-
 tests/testthat/_snaps                                           |only
 tests/testthat/test_GPModel_combined_GP_random_effects.R        |   34 
 tests/testthat/test_GPModel_gaussian_process.R                  |  693 +++----
 tests/testthat/test_GPModel_grouped_random_effects.R            |  158 +
 tests/testthat/test_GPModel_non_Gaussian_data.R                 |  601 +++---
 tests/testthat/test_z_GPBoost_algorithm.R                       |    7 
 tests/testthat/test_z_GPBoost_algorithm_non_Gaussian_data.R     |    4 
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More information about gpboost at CRAN
Permanent link

New package GALAHAD with initial version 1.0.0
Package: GALAHAD
Title: Geometry-Adaptive Lyapunov-Assured Hybrid Optimizer
Version: 1.0.0
Author: Richard A. Feiss [aut, cre]
Maintainer: Richard A. Feiss <feiss026@umn.edu>
Description: Implements the GALAHAD algorithm (Geometry-Adaptive 'Lyapunov'-Assured Hybrid Optimizer), combining 'Riemannian' metrics, 'Lyapunov' stability checks, and trust-region methods for stable optimization of mixed-geometry parameters. Designed for biological modeling (germination, dose-response, survival) where rates, concentrations, and unconstrained variables coexist. Developed at the Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota. Based on Conn et al. (2000) <doi:10.1137/1.9780898719857>, Amari (1998) <doi:10.1162/089976698300017746>, Beck & Teboulle (2003) <doi:10.1016/S0167-6377(02)00231-6>, Nesterov (2017) <https://www.jstor.org/stable/resrep30722>, and Walne et al. (2020) <doi:10.1002/agg2.20098>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
BuildResaveData: true
Packaged: 2025-11-04 00:52:03 UTC; feiss026
Repository: CRAN
Date/Publication: 2025-11-07 14:10:12 UTC

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Package worldmet updated to version 0.10.2 with previous version 0.10.1 dated 2025-08-20

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database>).
Author: David Carslaw [aut, cre] , Jack Davison [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between worldmet versions 0.10.1 dated 2025-08-20 and 0.10.2 dated 2025-11-07

 DESCRIPTION           |   13 +++++------
 MD5                   |   13 ++++++-----
 NEWS.md               |   56 ++++++++++++++++++++++++++++++++++++++------------
 R/importNOAA.R        |   50 ++++++++++++++++++--------------------------
 R/importNOAAlite.R    |    7 ++----
 R/utils.R             |only
 man/importNOAA.Rd     |   13 +++++------
 man/importNOAAlite.Rd |    4 ---
 8 files changed, 87 insertions(+), 69 deletions(-)

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Package verdata updated to version 1.0.1 with previous version 1.0.0 dated 2025-04-24

Title: Analyze Data from the Truth Commission in Colombia
Description: Facilitates use and analysis of data about the armed conflict in Colombia resulting from the joint project between La Jurisdicción Especial para la Paz (JEP), La Comisión para el Esclarecimiento de la Verdad, la Convivencia y la No repetición (CEV), and the Human Rights Data Analysis Group (HRDAG). The data are 100 replicates from a multiple imputation through chained equations as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. With the replicates the user can examine four human rights violations that occurred in the Colombian conflict accounting for the impact of missing fields and fully missing observations.
Author: Maria Gargiulo [aut, cre], Maria Juliana Duran [aut], Paula Andrea Amado [aut], Patrick Ball [rev]
Maintainer: Maria Gargiulo <mariag@hrdag.org>

Diff between verdata versions 1.0.0 dated 2025-04-24 and 1.0.1 dated 2025-11-07

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 MD5                                |   14 +++++++-------
 NEWS.md                            |    4 ++++
 README.md                          |   16 ++++++++++++----
 build/partial.rdb                  |binary
 inst/WORDLIST                      |   18 ++++++++++++++++--
 inst/docs/README-en.md             |   20 ++++++++++++++------
 tests/testthat/test-estimate_mse.R |    2 +-
 8 files changed, 57 insertions(+), 23 deletions(-)

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Package uci updated to version 0.3.1 with previous version 0.3.0 dated 2023-09-23

Title: Urban Centrality Index
Description: Calculates the Urban Centrality Index (UCI) as in Pereira et al., (2013) <doi:10.1111/gean.12002>. The UCI measures the extent to which the spatial organization of a city or region varies from extreme polycentric to extreme monocentric in a continuous scale from 0 to 1. Values closer to 0 indicate more polycentric patterns and values closer to 1 indicate a more monocentric urban form.
Author: Rafael H. M. Pereira [aut, cre]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between uci versions 0.3.0 dated 2023-09-23 and 0.3.1 dated 2025-11-07

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 NEWS.md                           |    6 ++++
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 inst/doc/uci.html                 |   52 +++++++++++++-------------------------
 man/uci.Rd                        |    3 --
 tests/tests_rafa/max_uci_sparse.R |   10 +++++--
 vignettes/uci.Rmd                 |   11 ++------
 12 files changed, 73 insertions(+), 79 deletions(-)

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New package tout with initial version 1.0.3
Package: tout
Title: Optimal Sample Size and Progression Criteria for Three-Outcome Trials
Version: 1.0.3
Description: Find the optimal decision rules (AKA progression criteria) and sample size for clinical trials with three (stop/pause/go) outcomes. Both binary and continuous endpoints can be accommodated, as can cases where an adjustment is planned following a pause outcome. For more details see Wilson et al. (2024) <doi:10.1186/s12874-024-02351-x>.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/DTWilson/tout, https://dtwilson.github.io/tout/
BugReports: https://github.com/DTWilson/tout/issues
NeedsCompilation: no
Packaged: 2025-11-05 13:16:03 UTC; meddwilb
Author: Duncan Wilson [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:02 UTC

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New package toscca with initial version 0.1.0
Package: toscca
Title: Thresholded Ordered Sparse CCA
Version: 0.1.0
Description: Performs Thresholded Ordered Sparse Canonical Correlation Analysis (CCA). For more details see Senar, N. (2024) <doi:10.1093/bioadv/vbae021> and Senar, N. et al. (2025) <doi:10.48550/arXiv.2503.15140>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ClusterR, RColorBrewer, cluster, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: doParallel, foreach, parallel, forecast, ggplot2, lme4, scales, graphics, stats, utils, grDevices, mcompanion, EnvStats, MASS
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-05 11:53:54 UTC; PC
Author: Nuria Senar [aut, cre]
Maintainer: Nuria Senar <n.senarvilladeamigo@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2025-11-07 13:40:02 UTC

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Package SurrogateOutcome updated to version 1.2 with previous version 1.1 dated 2021-11-15

Title: Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information
Description: Estimates the proportion of treatment effect on a censored primary outcome that is explained by the treatment effect on a censored surrogate outcome/event. All methods are described in detail in Parast, et al (2020) "Assessing the Value of a Censored Surrogate Outcome" <doi:10.1007/s10985-019-09473-1> and Wang et al (2025) "Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival" <doi:10.1002/sim.70268>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogateoutcome>.
Author: Layla Parast [aut, cre], Xuan Wang [aut]
Maintainer: Layla Parast <parast@austin.utexas.edu>

Diff between SurrogateOutcome versions 1.1 dated 2021-11-15 and 1.2 dated 2025-11-07

 SurrogateOutcome-1.1/SurrogateOutcome/build                           |only
 SurrogateOutcome-1.1/SurrogateOutcome/man/SurrogateOutcome-package.Rd |only
 SurrogateOutcome-1.2/SurrogateOutcome/DESCRIPTION                     |   15 
 SurrogateOutcome-1.2/SurrogateOutcome/MD5                             |   12 
 SurrogateOutcome-1.2/SurrogateOutcome/NAMESPACE                       |   10 
 SurrogateOutcome-1.2/SurrogateOutcome/R/SurrogateOutcome.R            |  452 +++++++++-
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 10 files changed, 462 insertions(+), 27 deletions(-)

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New package rocrateR with initial version 0.0.1
Package: rocrateR
Title: RO-Crate R Package Wrapper
Version: 0.0.1
Description: R package for creating, manipulating and reading RO-Crates. Latest supported version of the specification: <https://w3id.org/ro/crate/1.2/>.
License: MIT + file LICENSE
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-GB
URL: https://github.com/ResearchObject/ro-crate-r/
BugReports: https://github.com/ResearchObject/ro-crate-r/issues/
Imports: digest, jsonlite, tibble, zip
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-05 13:21:05 UTC; robertovillegas-diaz
Author: Roberto Villegas-Diaz [aut, cre] , Research Object community [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:09 UTC

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New package repsim with initial version 0.1.0
Package: repsim
Title: Measures of Representational Similarity Across Models
Version: 0.1.0
Description: Provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient 'C++' backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++17
Imports: Rcpp (>= 1.1.0), Rdpack
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2025-11-04 19:45:56 UTC; kyou
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:14 UTC

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New package randotools with initial version 0.2.3
Package: randotools
Title: Create Randomization Lists
Version: 0.2.3
Description: Randomization lists are an integral component of randomized clinical trials. 'randotools' provides tools to easily create such lists.
License: GPL (>= 3)
URL: https://ctu-bern.github.io/randotools/, https://github.com/CTU-Bern/randotools
BugReports: https://github.com/CTU-Bern/randotools/issues
Encoding: UTF-8
Imports: cli, dplyr, glue, ggplot2, patchwork, purrr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Depends: R (>= 4.1)
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-05 10:55:41 UTC; haynes
Author: Alan G Haynes [aut, cre]
Maintainer: Alan G Haynes <alan.haynes@unibe.ch>
Repository: CRAN
Date/Publication: 2025-11-07 13:40:07 UTC

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New package PNC with initial version 0.1.0
Package: PNC
Title: Phylogenetic Niche Conservatism Analysis for Ecological Communities
Version: 0.1.0
Date: 2025-11-5
Maintainer: Yan He <heyan@njfu.edu.cn>
Description: Provides functions for testing phylogenetic niche conservatism, a key prerequisite in community assembly studies. The package integrates global functional trait data across major taxonomic groups and implements methods such as Pagel's Lambda and Blomberg's K to quantify phylogenetic signals in ecological communities. Methods are described in Münkemüller et al. (2012) <doi:10.1111/j.2041-210X.2012.00196.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ape, phytools, stats, utils, geiger
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 01:15:58 UTC; Administrator
Author: Yan He [aut, cre], Yu Xia [aut], Rui Yang [aut], Lingfeng Mao [aut]
Repository: CRAN
Date/Publication: 2025-11-07 13:40:13 UTC

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New package opImputation with initial version 0.6
Package: opImputation
Title: Optimal Selection of Imputation Methods for Pain-Related Numerical Data
Version: 0.6
Description: A model-agnostic framework for selecting dataset-specific imputation methods for missing values in numerical data related to pain. Lotsch J, Ultsch A (2025) "A model-agnostic framework for dataset-specific selection of missing value imputation methods in pain-related numerical data" Canadian Journal of Pain (in minor revision).
Depends: R (>= 3.5.0)
Imports: parallel, Rfit, methods, stats, caret, ABCanalysis, ggplot2, future, future.apply, progressr, missForest, utils, mice, miceRanger, multiUS, Amelia, mi, reshape2, DataVisualizations, abind, cowplot, twosamples, ggh4x, ggrepel, tools
LazyData: true
Suggests: testthat (>= 3.0.0)
License: GPL-3
URL: https://github.com/JornLotsch/opImputation
Encoding: UTF-8
Date: 2025-11-04
NeedsCompilation: no
Packaged: 2025-11-04 12:22:21 UTC; joern
Author: Jorn Lotsch [aut, cre] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:02 UTC

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New package hashmapR with initial version 1.0.0
Package: hashmapR
Title: Fast, Vectorized Hashmap
Version: 1.0.0
Description: A fast, vectorized hashmap that is built on top of C++ std::unordered_map <https://en.cppreference.com/w/cpp/container/unordered_map.html>. The map can hold any R object as key / value as long as it is serializable and supports vectorized insertion, lookup, and deletion.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/svensglinz/hashmapR
Suggests: testthat (>= 3.0.0)
SystemRequirements: C++20
NeedsCompilation: yes
Packaged: 2025-11-04 10:00:47 UTC; sven
Author: Sven Glinz [aut, cre]
Maintainer: Sven Glinz <svenglinz@proton.me>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:20 UTC

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Package fEGarch updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-11

Title: SM/LM EGARCH & GARCH, VaR/ES Backtesting & Dual LM Extensions
Description: Implement and fit a variety of short-memory (SM) and long-memory (LM) models from a very broad family of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models, such as a MEGARCH (modified EGARCH), FIEGARCH (fractionally integrated EGARCH), FIMLog-GARCH (fractionally integrated modulus Log-GARCH), and more. The FIMLog-GARCH as part of the EGARCH family is discussed in Feng et al. (2023) <https://econpapers.repec.org/paper/pdnciepap/156.htm>. For convenience and the purpose of comparison, a variety of other popular SM and LM GARCH-type models, like an APARCH model, a fractionally integrated APARCH (FIAPARCH) model, standard GARCH and fractionally integrated GARCH (FIGARCH) models, GJR-GARCH and FIGJR-GARCH models, TGARCH and FITGARCH models, are implemented as well as dual models with simultaneous modelling of the mean, including dual long-memory models with a fractionally integrated autoregressive moving average (FARIMA) model in the mean and a long [...truncated...]
Author: Dominik Schulz [aut, cre] , Yuanhua Feng [aut] , Christian Peitz [aut] ), Oliver Kojo Ayensu [aut] , Thomas Gries [ctb] , Sikandar Siddiqui [ctb] , Shujie Li [ctb]
Maintainer: Dominik Schulz <dominik.schulz@uni-paderborn.de>

Diff between fEGarch versions 1.0.2 dated 2025-09-11 and 1.0.3 dated 2025-11-07

 fEGarch-1.0.2/fEGarch/man/fEGarch_fit-egarch_type_spec-method.Rd   |only
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 fEGarch-1.0.3/fEGarch/MD5                                          |   74 ++---
 fEGarch-1.0.3/fEGarch/NAMESPACE                                    |    5 
 fEGarch-1.0.3/fEGarch/NEWS.md                                      |   10 
 fEGarch-1.0.3/fEGarch/R/class-egarch-spec.R                        |  116 ++++-----
 fEGarch-1.0.3/fEGarch/R/distr_est.R                                |    6 
 fEGarch-1.0.3/fEGarch/R/forecasting-functions.R                    |   56 ++--
 fEGarch-1.0.3/fEGarch/R/general_garch_fitting.R                    |    6 
 fEGarch-1.0.3/fEGarch/R/generics.R                                 |   58 ++--
 fEGarch-1.0.3/fEGarch/R/popular-methods.R                          |    2 
 fEGarch-1.0.3/fEGarch/R/sysdata.rda                                |binary
 fEGarch-1.0.3/fEGarch/R/ufRisk-functions.R                         |   14 -
 fEGarch-1.0.3/fEGarch/README.md                                    |  120 ++++-----
 fEGarch-1.0.3/fEGarch/man/SP500.Rd                                 |   50 +--
 fEGarch-1.0.3/fEGarch/man/UKinflation.Rd                           |   52 ++--
 fEGarch-1.0.3/fEGarch/man/accessor_methods_distr_est.Rd            |   94 +++----
 fEGarch-1.0.3/fEGarch/man/autoplot-fEGarch_risk-method.Rd          |   72 ++---
 fEGarch-1.0.3/fEGarch/man/backtest-generics.Rd                     |   82 +++---
 fEGarch-1.0.3/fEGarch/man/backtest-tests.Rd                        |   12 
 fEGarch-1.0.3/fEGarch/man/figures/README-unnamed-chunk-12-1.png    |binary
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 fEGarch-1.0.3/fEGarch/man/figures/README-unnamed-chunk-9-1.png     |binary
 fEGarch-1.0.3/fEGarch/man/fit-test-generics.Rd                     |  126 +++++-----
 fEGarch-1.0.3/fEGarch/man/fit_test_suite-fEGarch_fit-method.Rd     |  102 ++++----
 fEGarch-1.0.3/fEGarch/man/fitted.Rd                                |   72 ++---
 fEGarch-1.0.3/fEGarch/man/forecasting-generics.Rd                  |   12 
 fEGarch-1.0.3/fEGarch/man/loss_functions.Rd                        |   46 +--
 fEGarch-1.0.3/fEGarch/man/mean_spec_methods.Rd                     |   96 +++----
 fEGarch-1.0.3/fEGarch/man/measure_risk.Rd                          |    2 
 fEGarch-1.0.3/fEGarch/man/nonpar-generics.Rd                       |   84 +++---
 fEGarch-1.0.3/fEGarch/man/plot-fEGarch_fit-ANY-method.Rd           |  118 ++++-----
 fEGarch-1.0.3/fEGarch/man/plot-fEGarch_risk-ANY-method.Rd          |   78 +++---
 fEGarch-1.0.3/fEGarch/man/plot.Rd                                  |   42 +--
 fEGarch-1.0.3/fEGarch/man/residuals.Rd                             |   66 ++---
 fEGarch-1.0.3/fEGarch/man/sigma.Rd                                 |   72 ++---
 40 files changed, 870 insertions(+), 881 deletions(-)

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New package fasttreeid with initial version 1.0.0
Package: fasttreeid
Title: Identifies Parameters in a Tree-Shaped SCM
Version: 1.0.0
Description: Implements the algorithm by Briefs and Bläser (2025) <https://openreview.net/forum?id=8PHOPPH35D>, based on the approach of Gupta and Bläser (2024) <doi:10.1609/aaai.v38i18.30023>. It determines, for a structural causal model (SCM) whose directed edges form a tree, whether each parameter is unidentifiable, 1-identifiable or 2-identifiable (other cases cannot occur), using a randomized algorithm with provable running time O(n^3 log^2 n).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp
Suggests: gmp, testthat
LinkingTo: Rcpp
URL: https://github.com/yasminebriefs/FastTreeID
BugReports: https://github.com/yasminebriefs/FastTreeID/issues
NeedsCompilation: yes
Packaged: 2025-11-05 07:24:49 UTC; yasmine
Author: Yasmine Briefs [aut, cre], Markus Blaeser [aut]
Maintainer: Yasmine Briefs <ybriefs@mpi-inf.mpg.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:07 UTC

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New package EstemPMM with initial version 0.1.1
Package: EstemPMM
Title: Polynomial Maximization Method for Non-Gaussian Regression
Version: 0.1.1
Date: 2025-10-22
Description: Implements the Polynomial Maximization Method ('PMM') for parameter estimation in linear and time series models when error distributions deviate from normality. The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary least squares ('OLS') when errors exhibit significant skewness. Includes methods for linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference. Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>, Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, stats, graphics, utils
Suggests: dplyr, ggplot2, gridExtra, testthat (>= 3.0.0), rmarkdown, knitr, MASS
LazyData: true
URL: https://github.com/SZabolotnii/EstemPMM
BugReports: https://github.com/SZabolotnii/EstemPMM/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-04 19:50:39 UTC; serhiizabolotnii
Author: Serhii Zabolotnii [aut, cre]
Maintainer: Serhii Zabolotnii <zabolotniua@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:12 UTC

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Package ecorisk updated to version 0.2.1 with previous version 0.1.1 dated 2025-05-27

Title: Risk Assessments for Ecosystems or Ecosystem Components
Description: Implementation of a modular framework for ecosystem risk assessments, combining existing risk assessment approaches tailored to semi-quantitative and quantitative analyses.
Author: Helene Gutte [aut, cre, cph] , Saskia A. Otto [aut]
Maintainer: Helene Gutte <helenegutte96@gmail.com>

Diff between ecorisk versions 0.1.1 dated 2025-05-27 and 0.2.1 dated 2025-11-07

 DESCRIPTION         |    8 ++++----
 LICENSE             |only
 MD5                 |   15 ++++++++-------
 NEWS.md             |    4 ++++
 R/plot_heatmap.R    |   12 ++++++++----
 R/plot_radar.R      |   11 +++++++++--
 build/vignette.rds  |binary
 man/plot_heatmap.Rd |   12 ++++++++----
 man/plot_radar.Rd   |    9 ++++++++-
 9 files changed, 49 insertions(+), 22 deletions(-)

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New package aplms with initial version 0.1.0
Package: aplms
Title: Additive Partial Linear Models with Symmetric Autoregressive Errors
Version: 0.1.0
Maintainer: Shu Wei Chou-Chen <shuwei.chou@ucr.ac.cr>
Description: Set of tools for fitting the additive partial linear models with symmetric autoregressive errors of order p, or APLMS-AR(p). This setup enables the modeling of a time series response variable using linear and nonlinear structures of a set of explanatory variables, with nonparametric components approximated by natural cubic splines or P-splines. It also accounts for autoregressive error terms with distributions that have lighter or heavier tails than the normal distribution. The package includes various error distributions, such as normal, generalized normal, Student's t, generalized Student's t, power-exponential, and Cauchy distributions. Chou-Chen, S.W., Oliveira, R.A., Raicher, I., Gilberto A. Paula (2024) <doi:10.1007/s00362-024-01590-w>.
License: GPL-2
URL: https://github.com/shuwei325/aplms
BugReports: https://github.com/shuwei325/aplms/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), mgcv
Imports: MASS, Matrix, rlist, stats, methods, psych, rmutil
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 13:29:35 UTC; shuwe
Author: Shu Wei Chou-Chen [aut, cre, cph] , Rodrigo A. Oliveira [aut] , Gilberto A. Paula [aut] , Sebastian Sanchez Sandi [ctb]
Repository: CRAN
Date/Publication: 2025-11-07 14:00:25 UTC

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Package move2 updated to version 0.4.5 with previous version 0.4.4 dated 2025-02-10

Title: Processing and Analysing Animal Trajectories
Description: Tools to handle, manipulate and explore trajectory data, with an emphasis on data from tracked animals. The package is designed to support large studies with several million location records and keep track of units where possible. Data import directly from 'movebank' <https://www.movebank.org/cms/movebank-main> and files is facilitated.
Author: Bart Kranstauber [aut, cre] , Kamran Safi [aut] , Anne K. Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

Diff between move2 versions 0.4.4 dated 2025-02-10 and 0.4.5 dated 2025-11-07

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Package mlr3tuning updated to version 1.5.0 with previous version 1.4.0 dated 2025-06-04

Title: Hyperparameter Optimization for 'mlr3'
Description: Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Jakob Richter [aut] , Bernd Bischl [aut] , Daniel Schalk [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package smmR updated to version 1.0.5 with previous version 1.0.3 dated 2021-08-03

Title: Simulation, Estimation and Reliability of Semi-Markov Models
Description: Performs parametric and non-parametric estimation and simulation for multi-state discrete-time semi-Markov processes. For the parametric estimation, several discrete distributions are considered for the sojourn times: Uniform, Geometric, Poisson, Discrete Weibull and Negative Binomial. The non-parametric estimation concerns the sojourn time distributions, where no assumptions are done on the shape of distributions. Moreover, the estimation can be done on the basis of one or several sample paths, with or without censoring at the beginning or/and at the end of the sample paths. Reliability indicators such as reliability, maintainability, availability, BMP-failure rate, RG-failure rate, mean time to failure and mean time to repair are available as well. The implemented methods are described in Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>, Barbu, V.S., Limnios, N. (2008) <doi:10.1080/10485250701261913> and Trevezas, S., Limnios, N. (2011) <doi:10.1080/1048 [...truncated...]
Author: Vlad Stefan Barbu [aut] , Florian Lecocq [aut], Corentin Lothode [aut] , Nicolas Vergne [aut, cre]
Maintainer: Nicolas Vergne <nicolas.vergne@univ-rouen.fr>

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Package this.path updated to version 2.7.1 with previous version 2.7.0 dated 2025-04-10

Title: Get Executing Script's Path
Description: Determine the path of the executing script. Compatible with several popular GUIs: 'Rgui', 'RStudio', 'Positron', 'VSCode', 'Jupyter', 'Emacs', and 'Rscript' (shell). Compatible with several functions and packages: 'source()', 'sys.source()', 'debugSource()' in 'RStudio', 'compiler::loadcmp()', 'utils::Sweave()', 'box::use()', 'knitr::knit()', 'plumber::plumb()', 'shiny::runApp()', 'package:targets', and 'testthat::source_file()'.
Author: Iris Simmons [aut, cre]
Maintainer: Iris Simmons <ikwsimmo@gmail.com>

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Package CAESAR.Suite readmission to version 0.2.3 with previous version 0.2.2 dated 2025-04-01

Title: CAESAR: a Cross-Technology and Cross-Resolution Framework for Spatial Omics Annotation
Description: Biotechnology in spatial omics has advanced rapidly over the past few years, enhancing both throughput and resolution. However, existing annotation pipelines in spatial omics predominantly rely on clustering methods, lacking the flexibility to integrate extensive annotated information from single-cell RNA sequencing (scRNA-seq) due to discrepancies in spatial resolutions, species, or modalities. Here we introduce the CAESAR suite, an open-source software package that provides image-based spatial co-embedding of locations and genomic features. It uniquely transfers labels from scRNA-seq reference, enabling the annotation of spatial omics datasets across different technologies, resolutions, species, and modalities, based on the conserved relationship between signature genes and cells/locations at an appropriate level of granularity. Notably, CAESAR enriches location-level pathways, allowing for the detection of gradual biological pathway activation within spatially defined domain types. [...truncated...]
Author: Xiao Zhang [aut, cre], Wei Liu [aut], Jin Liu [aut]
Maintainer: Xiao Zhang <zhangxiao1994@cuhk.edu.cn>

This is a re-admission after prior archival of version 0.2.2 dated 2025-04-01

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Package tind readmission to version 0.2.2 with previous version 0.2.1 dated 2025-10-26

Title: A Common Representation of Time Indices of Different Types
Description: Provides an easy-to-use tind class representing time indices of different types (years, quarters, months, ISO 8601 weeks, dates, time of day, date-time, and arbitrary integer/numeric indices). Includes an extensive collection of functions for calendrical computations (including business applications), index conversions, index parsing, and other operations. Auxiliary classes representing time differences and time intervals (with set operations and index matching functionality) are also provided. All routines have been optimised for speed in order to facilitate computations on large datasets. More details regarding calendars in general and calendrical algorithms can be found in "Calendar FAQ" by Claus Tøndering <https://www.tondering.dk/claus/calendar.html>.
Author: Grzegorz Klima [aut, cre, cph]
Maintainer: Grzegorz Klima <dever@post.pl>

This is a re-admission after prior archival of version 0.2.1 dated 2025-10-26

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Package rLakeHabitat readmission to version 1.0.1 with previous version 1.0.0 dated 2025-04-15

Title: Interpolate Bathymetry and Quantify Physical Aquatic Habitat
Description: Offers bathymetric interpolation using Inverse Distance Weighted and Ordinary Kriging via the 'gstat' and 'terra' packages. Other functions focus on quantifying physical aquatic habitats (e.g., littoral, epliminion, metalimnion, hypolimnion) from interpolated digital elevation models (DEMs). Functions were designed to calculate these metrics across water levels for use in reservoirs but can be applied to any DEM and will provide values for fixed conditions. Parameters like Secchi disk depth or estimated photic zone, thermocline depth, and water level fluctuation depth are included in most functions.
Author: Tristan Blechinger [aut, cre] , Sean Bertalot [aut]
Maintainer: Tristan Blechinger <tblechin@uwyo.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2025-04-15

Diff between rLakeHabitat versions 1.0.0 dated 2025-04-15 and 1.0.1 dated 2025-11-07

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Package CopernicusMarine updated to version 0.3.5 with previous version 0.3.2 dated 2025-10-12

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package solaR2 (with last version 0.11) was removed from CRAN

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

2025-01-16 0.11
2024-09-16 0.10

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Package ucsfindustrydocs (with last version 0.1.0) was removed from CRAN

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

2025-04-29 0.1.0

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Package clifford (with last version 1.1-2) was removed from CRAN

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

2025-10-20 1.1-2
2025-05-07 1.1-1
2025-05-01 1.1-0
2022-08-13 1.0-8
2022-05-02 1.0-7
2021-11-18 1.0-5
2020-03-08 1.0-2
2020-01-30 1.0-1

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Package worldbank (with last version 0.6.1) was removed from CRAN

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

2025-08-29 0.6.1
2025-05-29 0.6.0
2025-01-27 0.5.0
2024-12-09 0.4.0
2024-08-26 0.3.0
2024-07-31 0.2.0
2024-07-02 0.1.0

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Package suntools updated to version 1.1.0 with previous version 1.0.1 dated 2024-11-20

Title: Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight
Description: Provides a set of convenient functions for calculating sun-related information, including the sun's position (elevation and azimuth), and the times of sunrise, sunset, solar noon, and twilight for any given geographical location on Earth. These calculations are based on equations provided by the National Oceanic & Atmospheric Administration (NOAA) <https://gml.noaa.gov/grad/solcalc/calcdetails.html> as described in "Astronomical Algorithms" by Jean Meeus (1991, ISBN: 978-0-943396-35-4).
Author: Roger Bivand [aut] , Adriaan M. Dokter [ctb, cre] , Pieter Huybrechts [ctb] , Sebastian Luque [aut], Greg Pelletier [ctb], Alexander Tedeschi [ctb]
Maintainer: Adriaan M. Dokter <amd427@cornell.edu>

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Package ReliaGrowR updated to version 0.3 with previous version 0.2 dated 2025-09-21

Title: Reliability Growth Analysis
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) <https://apps.dtic.mil/sti/citations/ADA020296>, Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package mlr3pipelines updated to version 0.10.0 with previous version 0.9.0 dated 2025-07-31

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [aut] , Susanne Dandl [aut], Keno Mersmann [ctb], Maximilian Muecke [ctb] , Lona Koers [ctb], Alexander Winterstet [...truncated...]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package huxtable updated to version 5.8.0 with previous version 5.7.0 dated 2025-08-18

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', 'PowerPoint', 'typst', SVG and PNG. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function to create regression tables, and 'quick_*' one-liners to print tables to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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