Sun, 27 Sep 2026

Package spatstat updated to version 3.6-3 with previous version 3.6-2 dated 2026-07-31

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package statsapps updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-23

Title: Interactive 'Shiny' Apps for Building Statistical Intuition
Description: Provides interactive 'Shiny' applications for building intuition in statistics and data science. The apps run locally and use visualization, simulation, and repeated sampling to illustrate topics such as probability distributions, permutation tests, analysis of variance, linear regression, and sums of squares.
Author: Vikram B. Baliga [aut, cre, cph]
Maintainer: Vikram B. Baliga <vikram.baliga@ubc.ca>

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Package REDCapSync updated to version 0.2.0 with previous version 0.1.1 dated 2026-06-09

Title: Encapsulated 'REDCap' Projects for Synchronized Data Pipelines
Description: Wraps dozens of 'REDCap' API endpoints into a standardized R6 object. Research Electronic Data Capture ('REDCap') is a survey and database web application software maintained by Vanderbilt University. It has a robust application programming interface (API) utilized by several R packages. 'REDCapSync' uses 'redcapAPI' and 'REDCapR' behind-the-scenes to retrieve all metadata, data, and log details for a project. To minimize unnecessary server calls, the interim 'REDCap' log is analyzed and used to only update necessary records. Furthermore, the user can define custom datasets that save to a directory. Those datasets continue to refresh when projects are synced. Having a secure, standardized, API-efficient, project-agnostic R object for 'REDCap' projects, streamlines downstream use in scripts, functions, and shiny applications.
Author: Brandon Rose [cre, aut, cph] , Natalie Goulett [ctb]
Maintainer: Brandon Rose <thecodingdocs@gmail.com>

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Package ironseed updated to version 0.4.0 with previous version 0.3.0 dated 2025-11-18

Title: Improved Random Number Generator Seeding
Description: A procedure for seeding R's built in random number generators using a variable-length sequence of values. Accumulates input entropy into a 256-bit hash digest or "ironseed" and is able to generate a variable-length sequence of output seeds from an ironseed.
Author: Reed Cartwright [aut, cre] , National Science Foundation DBI-1929850 [fnd]
Maintainer: Reed Cartwright <racartwright@gmail.com>

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Package deepSTRAPP updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-19

Title: Test for Differences in Diversification Rates over Time
Description: Employ time-calibrated phylogenies and trait/range data to test for differences in diversification rates over evolutionary time. Extend the STRAPP test from BAMMtools::traitDependentBAMM() to any time step along phylogenies. See inst/COPYRIGHTS for details on third-party code.
Author: Mael Dore [aut, cre, cph] , Dan Rabosky [ctb], Mike Grundler [ctb], Huateng Huang [ctb], Pascal Title [ctb], Liam Revell [ctb], Nicholas J. Matzke [ctb]
Maintainer: Mael Dore <mael.dore@gmail.com>

Diff between deepSTRAPP versions 1.0.0 dated 2026-01-19 and 1.1.0 dated 2026-09-27

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 deepSTRAPP-1.1.0/deepSTRAPP/NAMESPACE                                                                              |   31 
 deepSTRAPP-1.1.0/deepSTRAPP/NEWS.md                                                                                |   51 
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 deepSTRAPP-1.1.0/deepSTRAPP/R/plot_contMap.R                                                                       |   45 
 deepSTRAPP-1.1.0/deepSTRAPP/R/plot_densityMaps_overlay.R                                                           |   51 
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 deepSTRAPP-1.1.0/deepSTRAPP/R/update_maps_for_focal_time.R                                                         |    8 
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 deepSTRAPP-1.1.0/deepSTRAPP/README.md                                                                              |  289 -
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 deepSTRAPP-1.1.0/deepSTRAPP/inst/doc/plot_rates_through_time.R                                                     |   46 
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 deepSTRAPP-1.1.0/deepSTRAPP/man/Ponerinae_trait_tip_data.Rd                                                        |    6 
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 deepSTRAPP-1.1.0/deepSTRAPP/man/Ponerinae_tree_old_calib.Rd                                                        |    6 
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Package blockCV updated to version 4.0-1 with previous version 4.0-0 dated 2026-08-20

Title: Spatial and Environmental Blocking for Cross-Validation
Description: Creates spatially or environmentally separated, or group-preserving, training and testing folds for k-fold, leave-group-out, and leave-one-out cross-validation. Provides spatial blocking, clustering, buffering, and nearest-neighbour distance-matching methods, together with tools to visualise folds, summarise fold sizes and class balance, and assess train–test separation and environmental novelty. Also estimates spatial autocorrelation ranges in point samples and continuous raster covariates to provide an initial distance scale for designing spatial folds. Methods are described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.
Author: Roozbeh Valavi [aut, cre] , Jane Elith [aut], Jose Lahoz-Monfort [aut], Ian Flint [aut], Gurutzeta Guillera-Arroita [aut]
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>

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Package bifrost updated to version 0.2.0 with previous version 0.1.4 dated 2026-04-16

Title: Branch-Level Inference Framework for Recognizing Optimal Shifts in Traits
Description: Methods for detecting, visualizing, and evaluating cladogenic shifts in multivariate trait data on phylogenies. Implements penalized-likelihood multivariate generalized least squares models and a greedy step-wise shift search for high-dimensional trait datasets and large trees via searchOptimalConfiguration(). Provides tools for inspecting search trajectories, summarizing branch and lineage rates, analyzing shift timing and magnitudes, estimating post-hoc regime covariance and integration, and running simulation-based calibration and tuning. The search follows approaches developed in Smith et al. (2023) <doi:10.1111/nph.19099> and Berv et al. (2024) <doi:10.1126/sciadv.adp0114>. Methods build on multivariate generalized least squares approaches described in Clavel et al. (2019) <doi:10.1093/sysbio/syy045> and implemented in the mvgls() function from the 'mvMORPH' package. Documentation and worked examples are available at <https://jakeberv.com/bifrost/>.
Author: Jacob S. Berv [aut, cre, cph, fnd] , Nathan Fox [aut] , Matt J. Thorstensen [aut] , Henry Lloyd-Laney [aut] , Emily M. Troyer [aut] , Rafael A. Rivero-Vega [aut] , Stephen A. Smith [aut, fnd] , Matt Friedman [aut, fnd] , David F. Fouhey [aut, fnd] , [...truncated...]
Maintainer: Jacob S. Berv <jacob.berv@gmail.com>

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Package BayesPPDSurv updated to version 1.0.5 with previous version 1.0.4 dated 2026-08-24

Title: Bayesian Power Prior Design for Survival Outcomes
Description: Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for time-to-event endpoints. The proportional hazards model with piecewise constant hazard (piecewise exponential) is implemented. The methodology and examples of applying the package are detailed in <doi:10.32614/RJ-2026-009>. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The proportional hazards model with piecewise constant hazard is detailed in Ibrahim et al. (2001) <doi:10.1007/978-1-4757-3447-8>.
Author: Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <angieshen6@gmail.com>

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Package XML updated to version 3.99-0.25 with previous version 3.99-0.24 dated 2026-08-21

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents, both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

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Package tinyplot updated to version 0.8.0 with previous version 0.7.0 dated 2026-07-03

Title: Lightweight Extension of the Base R Graphics System
Description: Lightweight extension of the base R graphics system, with support for automatic legends, facets, themes, and various other enhancements.
Author: Grant McDermott [aut, cre] , Vincent Arel-Bundock [aut] , Achim Zeileis [aut] , Etienne Bacher [ctb], Miura Meng [ctb]
Maintainer: Grant McDermott <contact@grantmcdermott.com>

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Package zmisc updated to version 0.3.0 with previous version 0.2.3 dated 2023-08-22

Title: Vector Look-Ups and Safer Sampling
Description: A collection of utility functions that facilitate looking up vector values from a lookup table, annotate values in a table for clearer viewing, and support a safer approach to vector sampling, sequence generation, and aggregation. Also included is a family of argument checks which return their input so that they compose nicely in a pipe.
Author: Magnus Thor Torfason [aut, cre]
Maintainer: Magnus Thor Torfason <m@zulutime.net>

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Package seqcomp updated to version 0.3.0 with previous version 0.1.0 dated 2026-06-30

Title: Sequential Comparison of Probabilistic Forecasts
Description: Implements tools for the anytime-valid sequential comparison of two or more probabilistic forecasters. Provides binary, categorical, and quantile scoring rules, together with finite-sample confidence sequences and e-processes following Choe and Ramdas (2024) <doi:10.1287/opre.2021.0792>. Extends to multi-model evaluation via Sequential Model Confidence Sets, following Arnold, Gavrilopoulos, Schulz, and Ziegel (2026) <doi:10.1093/jrsssb/qkag066>, using closure principles, joint confidence sequences, and accelerated closed-testing. Adaptive betting fractions for the strong null (aGRAPA and ONS-m) are adapted from Waudby-Smith and Ramdas (2024) <doi:10.1093/jrsssb/qkad009>. Also includes Winkler-score comparisons, lag handling, and predictable-bound betting e-processes.
Author: Akbar Alasgarli [aut, cre]
Maintainer: Akbar Alasgarli <alasgarliakbar@gmail.com>

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Package RobustLPA updated to version 1.1.0 with previous version 1.0.0 dated 2026-08-20

Title: Robust Latent Profile Analysis
Description: Provides a comprehensive toolset for estimating Latent Profile Analysis (LPA) models that are robust to multivariate outliers and missing data. By integrating a high-performance 'C++' engine via 'RcppArmadillo', it reliably extracts latent profiles using both Expectation-Maximization (EM) and Markov Chain Monte Carlo (MCMC) Bayesian estimation. Robustness is obtained either by Huber-type down-weighting or by mixtures of multivariate t distributions (a likelihood-based robust model, see Peel and McLachlan (2000) <doi:10.1023/A:1008981510081>). Missing data are handled by full information maximum likelihood with the exact EM treatment of incomplete observations (data augmentation in the MCMC engine). The EM engine also supports LASSO regularization with k-fold cross-validation for penalty tuning; the MCMC engine uses a Bayesian Lasso with Laplace priors, multiple chains, Gelman-Rubin/effective sample size diagnostics and the widely applicable information criterion. It supports six [...truncated...]
Author: Valerio Riccardo Aquila [aut, cre]
Maintainer: Valerio Riccardo Aquila <valerio_aquila@hotmail.it>

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Package pphotspot updated to version 0.1-3 with previous version 0.1-2 dated 2026-07-28

Title: Hotspot Detection of Point Events on a Linear Network
Description: Detection of hotspots of point events on a linear network as proposed by Mrkvička et al. (2025) <doi:10.2139/ssrn.5337003> using the R package 'GET', see Myllymäki and Mrkvička (2024) <doi:10.18637/jss.v111.i03>.
Author: Mari Myllymaeki [aut, cre] , Michal Konopa [aut], Tomas Mrkvicka [aut], Mikko Kuronen [ctb]
Maintainer: Mari Myllymaeki <mari.myllymaki@luke.fi>

Diff between pphotspot versions 0.1-2 dated 2026-07-28 and 0.1-3 dated 2026-09-27

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Package MKinfer updated to version 1.4 with previous version 1.3 dated 2025-12-15

Title: Inferential Statistics
Description: Computation of various confidence intervals (Altman et al. (2000), ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) including bootstrapped versions (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) as well as Xiao (Xiao (2018), <doi:10.17654/TS054010021>), Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2), permutation (Janssen (1997), <doi:10.1016/S0167-7152(97)00043-6>), bootstrap (Davison and Hinkley (1997), ISBN:978-0-511-80284-3), intersection-union (Sozu et al. (2015), ISBN:978-3-319-22005-5) and multiple imputation (Barnard and Rubin (1999), <doi:10.1093/biomet/86.4.948>) t-test; furthermore, computation of intersection-union z-test as well as multiple imputation Wilcoxon tests. Graphical visualizations: volcano plot, Bland-Altman plots (Bland and Altman (1986), <doi:10.1016/S0140-6736(86)90837-8>; Shieh (2018), <doi:10.1186/s12874-018-0505-y>), mean difference plot (Boehning et al. (2008), <doi:10.1177/0962280 [...truncated...]
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package lfc updated to version 0.2.4 with previous version 0.2.3 dated 2023-04-19

Title: Log Fold Change Distribution Tools for Working with Ratios of Counts
Description: Ratios of count data such as obtained from RNA-seq are modelled using Bayesian statistics to derive posteriors for effects sizes. This approach is described in Erhard & Zimmer (2015) <doi:10.1093/nar/gkv696> and Erhard (2018) <doi:10.1093/bioinformatics/bty471>.
Author: Florian Erhard [aut, cre]
Maintainer: Florian Erhard <Florian.Erhard@informatik.uni-regensburg.de>

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Package glcdp updated to version 1.1.0 with previous version 1.0.0 dated 2026-08-06

Title: Discover, Access, and Import Global Light Commons Data Packages
Description: Discovers Global Light Commons data packages through their registry, opens immutable passing revisions, and provides searchable inventories of package metadata. Selected metadata and measurement files can be downloaded or imported with metadata-defined columns, types, factor levels, date-time values, and time zones. 'Git Large File Storage' objects are resolved without requiring an external 'Git LFS' installation, and imported file groups can be explicitly collected into data suitable for personal light exposure analysis workflows. An included 'shiny' application supports interactive discovery, inspection, selection, preview, and reproducible handoff to 'R'.
Author: Johannes Zauner [aut, cre, cph] , Salma M. Thalji [aut, cph] , Manuel Spitschan [aut, cph]
Maintainer: Johannes Zauner <johannes.zauner@tum.de>

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Package bidser updated to version 0.5.2 with previous version 0.5.0 dated 2026-07-06

Title: Work with 'BIDS' (Brain Imaging Data Structure) Projects
Description: Tools for working with 'BIDS' (Brain Imaging Data Structure) formatted neuroimaging datasets. The package provides functionality for reading and querying 'BIDS'-compliant projects, creating mock 'BIDS' datasets for testing, and extracting preprocessed data from 'fMRIPrep' derivatives. It supports searching and filtering 'BIDS' files by various entities such as subject, session, task, and run to streamline neuroimaging data workflows. See Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44> for the 'BIDS' specification.
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

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Package albersdown updated to version 2.1.0 with previous version 2.0.0 dated 2026-07-05

Title: Minimalist Theme and Vignette Kit for 'pkgdown' and R Markdown
Description: Provides a minimalist 'ggplot2' theme, colour scales, and 'pkgdown' template built around a curated colour palette system inspired by Josef Albers' colour theory (Albers (1963, ISBN:978-0-300-17935-4) "Interaction of Color"). Includes helpers to apply consistent theming to 'ggplot2' plots, 'gt' tables, and 'bslib' Bootstrap 5 sites, along with one-command setup functions for adopting the style across an R package.
Author: Bradley R. Buchsbaum [aut, cre]
Maintainer: Bradley R. Buchsbaum <brad.buchsbaum@gmail.com>

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Package talib updated to version 0.9-3 with previous version 0.9-2 dated 2026-05-10

Title: Interface to 'TA-Lib' for Technical Analysis and Candlestick Patterns
Description: Interface to the 'TA-Lib' (Technical Analysis Library) 'C' library, providing access to 150+ indicators (e.g. Average Directional Movement Index (ADX), Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Stochastic Oscillator, Bollinger Bands), candlestick pattern recognition, and rolling-window utilities. Core computations are implemented in 'C' for fast Open-High-Low-Close-Volume (OHLCV) time-series feature engineering and rule-based signal generation, with optional interactive visualization via 'plotly'.
Author: Serkan Korkmaz [cre, aut, cph] , Mario Fortier [cph] )
Maintainer: Serkan Korkmaz <serkor1@duck.com>

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 talib-0.9-3/talib/MD5                                                                  | 1955 -
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 talib-0.9-3/talib/R/zzz.R                                                              |    2 
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 talib-0.9-3/talib/man/average_price.Rd                                                 |   13 
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 talib-0.9-3/talib/man/belt_hold.Rd                                                     |   13 
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 talib-0.9-3/talib/man/break_away.Rd                                                    |   13 
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 talib-0.9-3/talib/man/doji.Rd                                                          |   10 
 talib-0.9-3/talib/man/doji_star.Rd                                                     |   11 
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 talib-0.9-3/talib/man/engulfing.Rd                                                     |   12 
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 talib-0.9-3/talib/man/hammer.Rd                                                        |   10 
 talib-0.9-3/talib/man/hanging_man.Rd                                                   |   11 
 talib-0.9-3/talib/man/harami.Rd                                                        |   12 
 talib-0.9-3/talib/man/harami_cross.Rd                                                  |   13 
 talib-0.9-3/talib/man/high_wave.Rd                                                     |   13 
 talib-0.9-3/talib/man/hikakke.Rd                                                       |   12 
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 talib-0.9-3/talib/man/in_neck.Rd                                                       |   13 
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 talib-0.9-3/talib/man/kicking.Rd                                                       |   10 
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 talib-0.9-3/talib/man/ladder_bottom.Rd                                                 |   11 
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 talib-0.9-3/talib/man/long_line.Rd                                                     |   13 
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 talib-0.9-3/talib/man/marubozu.Rd                                                      |   10 
 talib-0.9-3/talib/man/mat_hold.Rd                                                      |   15 
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 talib-0.9-3/talib/man/momentum.Rd                                                      |   20 
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 talib-0.9-3/talib/man/morning_star.Rd                                                  |   15 
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 talib-0.9-3/talib/man/rickshaw_man.Rd                                                  |   11 
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 talib-0.9-3/talib/man/short_line.Rd                                                    |   11 
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 talib-0.9-3/talib/man/sine_wave.Rd                                                     |   15 
 talib-0.9-3/talib/man/spinning_top.Rd                                                  |   11 
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 talib-0.9-3/talib/man/takuri.Rd                                                        |   12 
 talib-0.9-3/talib/man/tasuki_gap.Rd                                                    |   11 
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 talib-0.9-3/talib/man/thrusting.Rd                                                     |   12 
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 talib-0.9-3/talib/man/trendline.Rd                                                     |   19 
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 talib-0.9-3/talib/man/tristar.Rd                                                       |   12 
 talib-0.9-3/talib/man/true_range.Rd                                                    |   15 
 talib-0.9-3/talib/man/two_crows.Rd                                                     |   11 
 talib-0.9-3/talib/man/typical_price.Rd                                                 |   13 
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 talib-0.9-3/talib/src/attributes.h                                                     |   21 
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 talib-0.9-3/talib/src/names.h                                                          |   37 
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 talib-0.9-3/talib/src/shift.h                                                          |  121 
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 talib-0.9-3/talib/src/ta-lib/LICENSE                                                   |    2 
 talib-0.9-3/talib/src/ta-lib/VERSION                                                   |    2 
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 talib-0.9-3/talib/src/ta-lib/ar-lib                                                    |only
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More information about talib at CRAN
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Package scoringutils updated to version 2.3.0 with previous version 2.2.0 dated 2026-04-05

Title: Utilities for Scoring and Assessing Predictions
Description: Facilitate the evaluation of forecasts in a convenient framework based on data.table. It allows user to to check their forecasts and diagnose issues, to visualise forecasts and missing data, to transform data before scoring, to handle missing forecasts, to aggregate scores, and to visualise the results of the evaluation. The package mostly focuses on the evaluation of probabilistic forecasts and allows evaluating several different forecast types and input formats. Find more information about the package in the Vignettes as well as in the accompanying paper, <doi:10.48550/arXiv.2205.07090>.
Author: Nikos Bosse [aut, cre] , Sam Abbott [aut] , Hugo Gruson [aut] , Johannes Bracher [ctb] , Toshiaki Asakura [ctb] , James Mba Azam [ctb] , Sebastian Funk [aut], Michael Chirico [ctb]
Maintainer: Nikos Bosse <nikosbosse@gmail.com>

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Package qgcomp updated to version 2.19.6 with previous version 2.19.5 dated 2026-09-03

Title: Quantile G-Computation
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <alex.keil@nih.gov>

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Package jgd updated to version 0.2.0 with previous version 0.1.1 dated 2026-06-30

Title: JSON Graphics Device
Description: A graphics device that translates R plotting operations into JSON and streams them over a local connection to an external display application. The device acts as a pure recorder with no rendering dependencies; all rendering occurs in that application (e.g. a 'VS Code' extension or a web browser). Official display applications are available from the project homepage.
Author: Grant McDermott [aut, cre], Tatsuya Shima [aut], Dave Gamble [cph] , cJSON contributors [cph]
Maintainer: Grant McDermott <contact@grantmcdermott.com>

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Package pipeflow updated to version 0.4.0 with previous version 0.3.0 dated 2026-06-15

Title: Fast Interactive Data Analysis Pipelines
Description: A lightweight and intuitive framework for building interactive data analysis pipelines. You add R functions one by one, and 'pipeflow' wires them into a pipeline that stays consistent as you go. Modify, remove, or insert steps at any stage, manage all parameters in one place, fast execution (C++-powered DAG) for interactive use and Shiny backends.
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>

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Package modeLLtest updated to version 1.0.6 with previous version 1.0.5 dated 2025-10-11

Title: Compare Models with Cross-Validated Log-Likelihood
Description: An implementation of the cross-validated difference in means (CVDM) test by Desmarais and Harden (2014) <doi:10.1007/s11135-013-9884-7> (see also Harden and Desmarais, 2011 <doi:10.1177/1532440011408929>) and the cross-validated median fit (CVMF) test by Desmarais and Harden (2012) <doi:10.1093/pan/mpr042>. These tests use leave-one-out cross-validated log-likelihoods to assist in selecting among model estimations. You can also utilize data from Golder (2010) <doi:10.1177/0010414009341714> and Joshi & Mason (2008) <doi:10.1177/0022343308096155> that are included to facilitate examples from real-world analysis.
Author: Shana Scogin [aut, cre] , Sarah Petersen [aut], Jeff Harden [aut], Bruce A. Desmarais [aut]
Maintainer: Shana Scogin <shanarscogin@gmail.com>

Diff between modeLLtest versions 1.0.5 dated 2025-10-11 and 1.0.6 dated 2026-09-27

 DESCRIPTION                       |    8 ++--
 MD5                               |   26 +++++++++------
 NAMESPACE                         |   12 +++++++
 NEWS.md                           |   16 +++++++++
 R/cvmf.R                          |   63 +++++++++++++++++++++++++++++++-------
 R/print.cvdm.R                    |    6 +--
 R/print.cvll.R                    |    4 +-
 R/print.cvlldiff.R                |    4 +-
 R/print.cvmf.R                    |   16 ++++-----
 R/summary.R                       |only
 build/partial.rdb                 |binary
 inst/doc/getting_started.html     |   18 +++++-----
 man/summary.modeLLtest.Rd         |only
 tests/testthat/test_cvmf.R        |   18 ++++++++++
 tests/testthat/test_cvmf_values.R |only
 tests/testthat/test_summary.R     |only
 16 files changed, 142 insertions(+), 49 deletions(-)

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New package winn with initial version 0.1.5
Package: winn
Title: White Noise Normalization for Mass Spectrometry Profiling Data
Version: 0.1.5
Description: Provides a decision-guided workflow for correcting technical variability in chemical profiling data. Tests for white noise identify measured features that need correction while preserving those that already pass. The workflow combines robust outlier adjustment, adaptive drift detection, change-point segmentation, batch correction, and probabilistic quotient normalization in a single pipeline or as modular steps. It supports parameter tuning using pooled quality-control samples as well as operation for studies without pooled controls.
Depends: R (>= 3.5.0)
Imports: stats, lmtest, mgcv, splines
Suggests: knitr, rmarkdown, sva, testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/ratschlab/winn
BugReports: https://github.com/ratschlab/winn/issues
NeedsCompilation: no
Packaged: 2026-09-16 13:12:08 UTC; ttanna
Author: Tanmay Tanna [aut, cre, cph]
Maintainer: Tanmay Tanna <tanmay@tanmaytanna.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:02 UTC

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New package trialdiff with initial version 0.2.0
Package: trialdiff
Title: Clinical Trial Data-Cut Change Detection and Impact Assessment
Version: 0.2.0
Description: A transparent, rule-based framework for detecting changes between successive data cuts of clinical trial datasets, classifying those changes into clinically meaningful categories, tracing user-defined data lineage, and assessing which downstream analyses and outputs may be affected. The package is designed to complement existing low-level data frame comparison tools by adding clinical-trial-specific classification, lineage and impact-assessment layers on top of deterministic comparison. The rule-based classification is similar in spirit to the data validation infrastructure of van der Loo and de Jonge (2021) <doi:10.18637/jss.v097.i10>.
License: MIT + file LICENSE
URL: https://github.com/Hirujan-R/trialdiff, https://Hirujan-R.github.io/trialdiff/
BugReports: https://github.com/Hirujan-R/trialdiff/issues
Depends: R (>= 4.1)
Imports: cli, dplyr, htmltools, jsonlite, rlang, tibble
Suggests: admiral, cards, covr, diffdf, haven, igraph, knitr, lintr, metacore, pharmaverseadam, pharmaversesdtm, pkgdown, rmarkdown, rtables, styler, tern, testthat (>= 3.0.0), waldo, withr
Encoding: UTF-8
Language: en-GB
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-16 10:10:19 UTC; Hirujan
Author: Hirujan Rangaraj [aut, cre]
Maintainer: Hirujan Rangaraj <hirujanrangaraj@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:30:02 UTC

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New package simPreg with initial version 0.1.0
Package: simPreg
Title: Simulate Pregnancy Data with Time-Varying Exposure
Version: 0.1.0
Description: Simulates pregnancy data in a time-to-event framework, allowing a time-varying exposure. Default parameters for gestational length and exposure timing are provided but may also be user-specified. Users can further specify hazard ratios for spontaneous and non-spontaneous live birth and late miscarriage/stillbirth following exposure.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, survival, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-16 05:47:18 UTC; SINS
Author: Siri N. Skodvin [aut, cre], Miriam Gjerdevik [ctb], Hakon K. Gjessing [ctb]
Maintainer: Siri N. Skodvin <siri.skodvin@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:10:02 UTC

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New package pkgcheck with initial version 0.3.0
Package: pkgcheck
Title: Package Checks for 'rOpenSci'
Version: 0.3.0
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.
License: GPL-3
URL: https://docs.ropensci.org/pkgcheck/, https://github.com/ropensci-review-tools/pkgcheck
BugReports: https://github.com/ropensci-review-tools/pkgcheck/issues
Depends: R (>= 3.5.0)
Imports: cli, covr, curl, fs, gert, gh, goodpractice, httr2, methods, pkgstats, praise, rappdirs, rmarkdown, rprojroot, rvest, srr, withr
Suggests: callr, httptest2, jsonlite, knitr, memoise, pkgbuild, roxygen2, testthat (>= 3.0.0), xfun
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-09-16 10:57:05 UTC; smexus
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>
Repository: CRAN
Date/Publication: 2026-09-27 16:30:09 UTC

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New package netOP with initial version 0.1.2
Package: netOP
Title: Network Data Operations and Overlapping Partitions Based Methods for Large Networks
Version: 0.1.2
Description: Implements methods for generating, embedding, and clustering random networks and for estimating and selecting statistical network models. Provides SONNET (Subsampling ON NETwork), a scalable subsampling-based divide-and-conquer method for community detection described by Chakrabarty, Sengupta and Chen (2025) <doi:10.5705/ss.202022.0108>, and NETCROP (NETwork CRoss-validation using Overlapping Partitions), an overlapping-partition framework for network cross-validation, model selection, and regularization tuning described by Chakrabarty, Sengupta and Chen (2026) <doi:10.48550/arXiv.2504.06903>. Also includes spectral and latent-space methods, loss functions, and helper functions for statistical analysis of network data.
License: GPL (>= 2)
URL: https://github.com/sayan-ch/netOP, https://sayan-ch.github.io
BugReports: https://github.com/sayan-ch/netOP/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cluster, irlba, Matrix, methods, Rcpp, RSpectra, tibble
LinkingTo: Rcpp, RcppEigen
Suggests: entropy, future, future.apply, ggplot2, knitr, peakRAM, pkgdown, ps, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Copyright: 2026 Sayan Chakrabarty
NeedsCompilation: yes
Packaged: 2026-09-16 15:18:02 UTC; runner
Author: Sayan Chakrabarty [aut, cre]
Maintainer: Sayan Chakrabarty <sayanc@umich.edu>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:08 UTC

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New package myman with initial version 0.1.0
Package: myman
Title: Draw from Sequence of 'My Man' Posts by Kevin Kruse
Version: 0.1.0
Date: 2026-09-16
Description: Starting on the afternoon of July 17, 2026, Kevin Kruse fired off an astonishing array of 'BlueSky' replies to an initial post of his featuring a certain government figure: <https://bsky.app/profile/did:plc:cnpe7qvcyjrhm6w7w7e4atur/post/3mqum4mxsuk2g>. This lasted a week and generated nearly seven hundred posts. A second wave started on August 12, 2026, with this post: <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mstvbjpagc2a>. A third wave started on August 17, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mtcpiw7gi22j>. A fourth wave started on August 27, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mu3pugs2yk2f>. A fifth wave ran on August 30, 2026, beginning with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3mudbzy5ksk25>. A sixth wave started September 4, 2026, with <https://bsky.app/profile/kevinmkruse.bsky.social/post/3muparqtdkk2w>. A seventh wave started September 12, 2026, wi [...truncated...]
URL: https://github.com/eddelbuettel/myman
BugReports: https://github.com/eddelbuettel/myman/issues
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-09-16 13:10:59 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2026-09-27 16:30:16 UTC

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New package mSigSpectra with initial version 0.1.3
Package: mSigSpectra
Title: Build Mutational-Spectrum Catalogs from Variant Call Format Files
Version: 0.1.3
Description: Reads variant call format (VCF) files in a caller-agnostic way, annotates variants with flanking sequence context and transcriptional strand, and builds mutational-spectrum catalogs of single base substitutions (SBS), doublet base substitutions (DBS), and small insertions and deletions (indels, ID) at several resolutions (SBS96, SBS192, SBS1536, DBS78, DBS136, DBS144, ID83, ID89, ID166, ID476) and in both counts and density representations. Successor to the numerical core of the 'ICAMS' package with plotting, 'shiny', and portable document format (PDF) reporting removed; plotting is provided separately by 'mSigPlot'. Used in the preparation of Rozen et al. (2026) <doi:10.5281/zenodo.18451842>.
License: GPL-3
URL: https://github.com/steverozen/mSigSpectra, https://steverozen.github.io/mSigSpectra/
BugReports: https://github.com/steverozen/mSigSpectra/issues
Encoding: UTF-8
LazyData: true
Language: en-US
Imports: BSgenome, data.table, fastrc, GenomeInfoDb, GenomicRanges, IRanges, Rcpp, S4Vectors, stats, stringi, tools
Depends: R (>= 4.1)
LinkingTo: Rcpp
Suggests: BSgenome.Hsapiens.1000genomes.hs37d5, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Mmusculus.UCSC.mm10, knitr, mSigPlot, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-09-16 17:38:49 UTC; steve
Author: Steve Rozen [aut, cre], Nanhai Jiang [aut], Arnoud Boot [aut], Mo Liu [aut], Yang Wu [aut], Mi Ni Huang [aut], Jia Geng Chang [aut]
Maintainer: Steve Rozen <steverozen@pm.me>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:24 UTC

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New package mdbx with initial version 0.1.0
Package: mdbx
Title: Bindings to the 'libmdbx' Embedded Key-Value Store
Version: 0.1.0
Description: Provides low-level bindings to 'libmdbx', a compact and fast transactional key-value store built on memory-mapped files (<https://libmdbx.dqdkfa.ru/>). Database environments, transactions, and byte-oriented read and write operations are exposed directly. The 'libmdbx' sources are bundled and compiled into the package, so no system library installation is required.
License: MIT + file LICENSE
URL: https://pedrobtz.github.io/mdbx/, https://github.com/pedrobtz/mdbx
BugReports: https://github.com/pedrobtz/mdbx/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: cpp11
NeedsCompilation: yes
Packaged: 2026-09-16 14:23:29 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Leonid Yuriev [ctb, cph] , Howard Chu [ctb, cph] , Symas Corporation [cph] , Martin Hedenfalk [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:17 UTC

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New package ISPAT3D with initial version 0.3.1
Package: ISPAT3D
Title: Spatial Conditional Association Networks in Registered Tumor Volumes
Version: 0.3.1
Description: Fits tumor-zone-specific conditional cell-density networks from registered three-dimensional multiplex imaging. An anisotropic Matern-3/2 Gaussian process is estimated per variable and zone using a Vecchia likelihood on spatially balanced anchors; predictions at all selected cells yield residual covariance sufficient statistics. Gaussian maximum likelihood then fits a shared-plus-zone factor covariance model. A matched section-wise planar fit uses the same selected cells and covariance estimator. This extends the spatially informed cell-density analysis of Bhadury et al. (2026) <doi:10.1038/s41598-026-35341-8>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: gpboost, graphics, stats, utils
Suggests: data.table, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/sagnikbhadury/ISPAT-3D
BugReports: https://github.com/sagnikbhadury/ISPAT-3D/issues
NeedsCompilation: no
Packaged: 2026-09-16 15:43:50 UTC; bhadury
Author: Sagnik Bhadury [aut, cre]
Maintainer: Sagnik Bhadury <bhadury@umich.edu>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:37 UTC

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New package insectecol with initial version 1.0.1
Package: insectecol
Title: Insect Ecology Data Analysis Toolkit
Version: 1.0.1
Description: A collection of analytical tools for insect ecology research, currently covering age-stage, two-sex life table analysis and dose-response bioassays. The life table module supports fast batch processing of multi-group datasets, validates raw 'csv' data, computes cohort size, mean fecundity, age-stage survival rates, age-specific survival, age-specific fecundity, life expectancy, and derived population parameters (net reproductive rate, intrinsic and finite rates of increase, mean generation time), simultaneously generates age-stage survival curves for all groups, and exports all tabular results and plots to 'Excel' in a single run. The bioassay module estimates lethal concentrations by the traditional and the weighted (improved) linear regression methods and by probit analysis, with Abbott correction, 95% confidence intervals and chi-square goodness-of-fit tests; the lethal proportion can be set freely (e.g., 25%, 50%, 70% or 90%), so any LC value such as the LC25, LC70 or LC90 can be c [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2 (>= 3.5.0), grid, magrittr, openxlsx, ragg, scales, sysfonts, readr, showtext, tidyr, utils
Suggests: testthat (>= 3.0.0)
URL: https://github.com/SeaGhost-0/insectecol
BugReports: https://github.com/SeaGhost-0/insectecol/issues
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-09-16 05:58:02 UTC; SeaGhost
Author: Wangyao Li [aut, cre, cph]
Maintainer: Wangyao Li <1561941342@qq.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:10:07 UTC

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New package GTFShift with initial version 1.0.0
Package: GTFShift
Title: Explore and Analyse General Transit Feed Specification (GTFS) Files with a Focus on Urban Mobility
Version: 1.0.0
Description: A bundle of methods to harmonize GTFS and OSM data, enabling the integration and exploration of different layers of transit data, starting with the planned operations (GTFS), but also the infrastructure topology (OSM) and real-time information (GTFS-RT).
License: GPL
URL: https://github.com/U-Shift/GTFShift, https://u-shift.github.io/GTFShift/
Depends: R (>= 4.1.0)
Imports: tidytransit, gtfstools, sf, tidyselect, tidyr, lubridate, httr, jsonlite, dplyr, osmdata, stringr, callr, purrr, rlang, xml2, withr
Suggests: knitr, rmarkdown, mapview, osmextract, rosmium, testthat, zip, gtfsrouter (>= 0.1.4), reticulate, parallel, RProtoBuf, stplanr, lwgeom, progress, stringi, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-16 14:16:01 UTC; goncalo
Author: Goncalo F. Matos [aut, cre] , Rosa Felix [aut] , Miguel Relvas Pires [ctb]
Maintainer: Goncalo F. Matos <goncaloafmatos@tecnico.pt>
Repository: CRAN
Date/Publication: 2026-09-27 16:30:21 UTC

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New package escapeR with initial version 0.1.0
Package: escapeR
Title: Escape Room Adventures for Learning R in Ecological Statistics
Version: 0.1.0
Description: A lightweight classroom game where students learn R by solving ecological-statistics puzzles inside a virtual escape room. The package remembers each player's progress, offers hints, and uses tasks inspired by introductory R teaching material, numerical ecology, ecological modelling, and distance sampling.
License: GPL (>= 3)
URL: https://github.com/TiagoAMarques/escapeR
BugReports: https://github.com/TiagoAMarques/escapeR/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: tools, utils
Suggests: knitr, rmarkdown, testthat (>= 3.1.7), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-15 15:13:13 UTC; tiago
Author: Tiago Marques [aut, cre], OpenAI Codex [ctb]
Maintainer: Tiago Marques <tiago.marques@st-andrews.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-27 16:20:02 UTC

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New package CPHazard with initial version 0.1.0
Package: CPHazard
Title: Hazard Change Point Models for Different Lifetime Distributions
Version: 0.1.0
Description: Estimates the parameters of models with a single change-point in the hazard rate for time-to-event data. Supported models include the exponential (Gijbels & Gürler (2003) <doi:10.1023/B:LIDA.0000012424.71723.9d>, Matthews & Farewell (1982) <doi:10.2307/2530460>), Exponential-Lindley (Joshi & Rattihalli (2020) <doi:10.1007/978-981-15-5414-8_29>), Lindley (Joshi, Jose, & Bhati (2016) <doi:10.1080/03610918.2015.1096381>), log-logistic (Nadar, Upadhyay, & Joshi (2025) <doi:10.3390/math13091457>), and Weibull (Williams & Kim (2013) <doi:10.1080/03610926.2011.600505>) hazard change-point models. Provides functions for generating random variates and evaluating the probability density function (PDF) and the cumulative distribution function (CDF) of the fitted change-point models. Includes Kaplan-Meier and Nelson-Aalen diagnostic plots, together with goodness-of-fit measures such as the Akaike Information Criterion (AIC), the Bayesian [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lamW, survival, EnvStats
Maintainer: Vasudha Upadhyay <vasudhyay@gmail.com>
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-16 11:02:37 UTC; Keerthan Aithal
Author: Vasudha Upadhyay [aut, cre], Dr. Savitri Joshi [aut, cph], Keerthan Aithal [aut]
Repository: CRAN
Date/Publication: 2026-09-27 16:30:29 UTC

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New package bgns with initial version 0.4.3
Package: bgns
Title: Biweight Graph and Network Statistics
Version: 0.4.3
Description: Provides memory-efficient biweight midcorrelation and exact bicor-based k-nearest-neighbor graph construction for dense and sparse numeric matrices. Dense, sparse, and mixed-input paths avoid materializing full dense similarity matrices for tidy and k-nearest-neighbor workflows where possible. The implementation supports pairwise finite-overlap handling and robust correlation-based graph construction for biological expression matrices and other high-dimensional numeric data.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: Matrix, methods, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: C++17, optional OpenMP
VignetteBuilder: knitr
NeedsCompilation: yes
URL: https://github.com/metaddict/bgns
BugReports: https://github.com/metaddict/bgns/issues
Packaged: 2026-09-16 15:54:16 UTC; adityakshirsagar
Author: Aditya Kshirsagar [aut, cre]
Maintainer: Aditya Kshirsagar <adityaksh4@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:40:32 UTC

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Package surveytidy (with last version 0.6.0) was removed from CRAN

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

2026-05-19 0.6.0

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New package SIVMethod with initial version 0.1.0
Package: SIVMethod
Title: Identification, Estimation and Inference Based on Structural Error Projection
Version: 0.1.0
Description: Estimation and inference for regression models with endogenous regressors using a semiparametric projection approach. Instrumental variables are constructed internally from observed regressors by projecting out a space of basis functions used to represent the conditional mean of the structural error. A least absolute shrinkage and selection operator (LASSO) procedure selects basis functions for the projection. Tools are provided for simulation studies and empirical applications. The methods are based on Dong, Gao, Linton and Peng (2026) <doi:10.48550/arXiv.2607.05699>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Greatknee/SIVMethod
BugReports: https://github.com/Greatknee/SIVMethod/issues
Depends: R (>= 3.5)
Imports: glmnet, stats, utils
Suggests: testthat (>= 3.0.0)
Date: 2026-09-14
NeedsCompilation: no
Packaged: 2026-09-15 11:48:25 UTC; greatknee
Author: Yuhuai Chen [aut, cre], Chaohua Dong [aut], Jiti Gao [aut], Linton Oliver [aut], Bin Peng [aut]
Maintainer: Yuhuai Chen <yuhuai.chen0351@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:00:09 UTC

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New package datapond with initial version 0.1.0
Package: datapond
Title: Query Curated 'DuckDB' Databases Built from Public Data
Version: 0.1.0
Description: Connects to the 'datapond' registry of curated 'DuckDB' databases built from public government and research data (immigration courts, campaign finance, clinical trials, Medicare, and more). Databases are attached remotely over HTTP so only the byte ranges a query touches are transferred, or downloaded once for local use. Returns standard 'DBI' connections that work with 'dbplyr'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: curl (>= 5.0.0), DBI, duckdb (>= 1.0.0), jsonlite, tools, utils
Suggests: dbplyr (>= 2.3.0), dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
URL: https://github.com/datapond-db/datapond-r, https://datapond-db.github.io/website/
BugReports: https://github.com/datapond-db/datapond-r/issues
NeedsCompilation: no
Packaged: 2026-09-16 01:05:16 UTC; inason
Author: Ian Nason [aut, cre]
Maintainer: Ian Nason <ign.nason@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-27 16:00:03 UTC

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New package chat.api with initial version 0.1.0
Package: chat.api
Title: Transport-Agnostic Chat Contract
Version: 0.1.0
Date: 2026-09-11
Description: A transport-agnostic contract for chat-room connectivity: connect, poll, and send against one interface, with adapters for 'Matrix' <https://spec.matrix.org/>, 'Slack' <https://api.slack.com/>, 'Telegram' <https://core.telegram.org/bots/api>, and Internet Relay Chat (IRC). An in-memory adapter supports local testing. Capability flags describe support for threads, markup dialects, encryption, and per-message identity. Platform clients are supplied by optional packages; the core interface uses only base R.
License: Apache License (>= 2)
Depends: R (>= 4.0)
URL: https://github.com/cornball-ai/chat.api
BugReports: https://github.com/cornball-ai/chat.api/issues
Suggests: httr, mx.api, mx.client (>= 0.2.1), mx.crypto (>= 0.2.2), slackr, telegram, tinytest
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-15 23:19:44 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-09-27 15:50:02 UTC

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Package parsnip updated to version 1.6.1 with previous version 1.6.0 dated 2026-05-14

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).
Author: Max Kuhn [cre, aut] , Davis Vaughan [aut], Emil Hvitfeldt [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between parsnip versions 1.6.0 dated 2026-05-14 and 1.6.1 dated 2026-09-27

 parsnip-1.6.0/parsnip/tests/testthat/_snaps/mlp_nnet.md                   |only
 parsnip-1.6.1/parsnip/DESCRIPTION                                         |   11 
 parsnip-1.6.1/parsnip/MD5                                                 |  805 +++++-----
 parsnip-1.6.1/parsnip/NAMESPACE                                           |  189 +-
 parsnip-1.6.1/parsnip/NEWS.md                                             |   56 
 parsnip-1.6.1/parsnip/R/aaa_archive.R                                     |  349 ++--
 parsnip-1.6.1/parsnip/R/aaa_models.R                                      |   51 
 parsnip-1.6.1/parsnip/R/aaa_multi_predict.R                               |   16 
 parsnip-1.6.1/parsnip/R/arguments.R                                       |   16 
 parsnip-1.6.1/parsnip/R/augment.R                                         |   27 
 parsnip-1.6.1/parsnip/R/bart.R                                            |   49 
 parsnip-1.6.1/parsnip/R/boost_tree.R                                      |   46 
 parsnip-1.6.1/parsnip/R/boost_tree_data.R                                 |    2 
 parsnip-1.6.1/parsnip/R/condense_control.R                                |    3 
 parsnip-1.6.1/parsnip/R/control_parsnip.R                                 |    5 
 parsnip-1.6.1/parsnip/R/engine_docs.R                                     |   16 
 parsnip-1.6.1/parsnip/R/engines.R                                         |   22 
 parsnip-1.6.1/parsnip/R/fit.R                                             |  122 +
 parsnip-1.6.1/parsnip/R/fit_helpers.R                                     |   88 -
 parsnip-1.6.1/parsnip/R/gen_additive_mod_data.R                           |   18 
 parsnip-1.6.1/parsnip/R/glm_grouped.R                                     |    5 
 parsnip-1.6.1/parsnip/R/glmnet-engines.R                                  |   80 
 parsnip-1.6.1/parsnip/R/linear_reg.R                                      |    4 
 parsnip-1.6.1/parsnip/R/logistic_reg.R                                    |   32 
 parsnip-1.6.1/parsnip/R/mars_data.R                                       |    5 
 parsnip-1.6.1/parsnip/R/misc.R                                            |  137 +
 parsnip-1.6.1/parsnip/R/mlp.R                                             |   22 
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 parsnip-1.6.1/parsnip/R/poisson_reg.R                                     |    4 
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More information about parsnip at CRAN
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Package tinycodet updated to version 0.8.0 with previous version 0.7.1 dated 2026-08-21

Title: Functions to Help in your Coding Etiquette
Description: Adds some functions to help in your coding etiquette. 'tinycodet' primarily focuses on 4 aspects. 1) Safer decimal (in)equality testing, standard-evaluated alternatives to with() and aes(), and other functions for safer coding. 2) A new package import system, that attempts to combine the benefits of using a package without attaching it, with the benefits of attaching a package. 3) Extending the string manipulation capabilities of the 'stringi' R package. 4) Reducing repetitive code. Besides linking to 'Rcpp', 'tinycodet' has only one other dependency, namely 'stringi'.
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tonywilkes.nl@gmail.com>

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Package ltgsmd updated to version 0.2.3 with previous version 0.2.2 dated 2026-09-02

Title: Latent True-Score and Target-Population Anchored Geometric SMD
Description: Implements the latent true-score and target-population anchored geometric standardized mean difference (LTG-SMD) framework for two-group effect-size analysis. Provides plug-in estimation, analytic delta-method confidence intervals using a sample fourth-moment plug-in, bias-corrected and bias-corrected-accelerated nonparametric bootstrap confidence intervals with study x group stratification, denominator-sensitivity profiles, and multi-site meta-analytic wrappers. Includes denominator-diagnostic reporting, a pluggable reliability estimator interface, and an explicit interface for specifying the target reference distribution. Companion software to Nakamura (2026) "The Denominator Chooses the Estimand: A Target-Population True-Score Framework for Standardized Mean Differences" <doi:10.1037/met0000875>.
Author: Daiki Nakamura [aut, cre]
Maintainer: Daiki Nakamura <nakamura@miyazaki-u.ac.jp>

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Package ggfoundry updated to version 0.4.0 with previous version 0.3.1 dated 2024-07-06

Title: Shape Foundry & Geom for 'ggplot2'
Description: A 'ggplot2' extension that supports arbitrary hand-crafted colourable & fillable shapes. New shapes may be feature requested via a Github issue.
Author: Carl Goodwin [aut, cre, cph]
Maintainer: Carl Goodwin <carl.goodwin@quantumjitter.com>

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Package pldamixture updated to version 0.1.2 with previous version 0.1.1 dated 2024-06-07

Title: Post-Linkage Data Analysis Based on Mixture Modelling
Description: Perform inference in the secondary analysis setting with linked data potentially containing mismatch errors. Only the linked data file may be accessible and information about the record linkage process may be limited or unavailable. Implements the 'General Framework for Regression with Mismatched Data' developed by Slawski et al. (2025) <doi:10.1093/jrsssa/qnae083>. The framework uses a mixture model for pairs of linked records whose two components reflect distributions conditional on match status, i.e., correct match or mismatch. Inference is based on composite likelihood and the Expectation-Maximization (EM) algorithm. The package currently supports Cox Proportional Hazards Regression (right-censored data only) and Generalized Linear Regression Models (Gaussian, Gamma, Poisson, and Logistic (binary models only)). Information about the underlying record linkage process can be incorporated into the method if available (e.g., assumed overall mismatch rate, safe matches, predictors [...truncated...]
Author: Priyanjali Bukke [aut, cre], Zhenbang Wang [aut], Martin Slawski [aut] , Brady T. West [aut], Emanuel Ben-David [aut], Guoqing Diao [aut]
Maintainer: Priyanjali Bukke <postlink.group@gmail.com>

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Package rjd3production (with last version 1.1.1) was removed from CRAN

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

2026-07-17 1.1.1
2026-04-21 1.1.0

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2025-09-19 1.3.0
2025-08-28 1.2.0
2025-01-10 1.1.0
2024-07-07 1.0.1
2024-07-02 1.0.0
2024-03-05 0.3.0
2023-11-13 0.2.0
2023-06-06 0.1.0

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Package pould (with last version 1.0.2) was removed from CRAN

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

2026-05-01 1.0.2
2020-10-16 1.0.1
2020-04-15 1.0.0

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Package BIGDAWG (with last version 3.1.0) was removed from CRAN

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

2026-04-30 3.1.0
2021-11-17 3.0.3
2021-02-11 2.3.6
2020-10-08 2.3.1
2019-11-12 2.3
2018-02-08 2.1
2017-09-06 1.16
2017-07-19 1.14.2
2017-07-10 1.14
2017-07-08 1.13
2016-08-30 1.5.5
2016-08-28 1.5.4
2016-05-14 1.4.0
2016-04-09 1.3.4
2016-02-29 1.2.8
2016-02-19 1.2.6
2015-11-10 1.2.1
2015-10-29 1.1.1
2015-06-13 1.1

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Package haplo.stats (with last version 1.9.9.1) was removed from CRAN

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2026-09-10 1.9.9.1
2026-04-25 1.9.8.7
2026-03-13 1.9.8.3
2026-02-13 1.9.8.2
2026-02-12 1.9.7.1
2024-09-19 1.9.7
2024-02-02 1.9.5.1
2023-12-11 1.9.5
2023-01-20 1.9.3
2022-11-28 1.9.2
2022-06-03 1.8.9
2021-09-02 1.8.7
2020-10-14 1.8.6
2020-08-28 1.8.5
2020-08-12 1.8.2
2018-04-11 1.7.9
2016-04-05 1.7.7
2016-02-23 1.7.6
2015-08-14 1.7.1
2014-09-04 1.6.11
2013-12-06 1.6.8
2013-01-17 1.6.3
2013-01-15 1.6.1
2012-11-20 1.5.8
2012-09-28 1.5.6
2012-02-25 1.5.5
2011-12-13 1.5.2
2009-10-01 1.4.4
2009-04-28 1.4.3
2008-05-13 1.3.8
2007-06-14 1.3.1

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2026-02-28 1.0.1
2023-05-18 1.0

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2026-09-17 0.3.0
2026-06-29 0.2.0
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Package NACHO updated to version 2.0.7 with previous version 2.0.6 dated 2024-01-12

Title: NanoString Quality Control Dashboard
Description: NanoString nCounter data are gene expression assays where there is no need for the use of enzymes or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted. As a result each count of a specific barcode represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter data and facilitates the user in performing a quality control. 'NACHO' does this by visualising quality control metrics, expression of control genes, principal components and sample specific size factors in an interactive web application.
Author: Mickael Canouil [aut, cre] , Roderick Slieker [aut] , Gerard Bouland [aut]
Maintainer: Mickael Canouil <pro@mickael.canouil.dev>

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Package rcicr updated to version 1.5.0 with previous version 1.4.1 dated 2026-09-19

Title: Reverse-Correlation Image-Classification Toolbox
Description: Generate stimuli and analyze data of reverse correlation image classification experiments (psychophysical tasks aimed at visualizing cognitive mental representations of faces). For the method see Dotsch and Todorov (2012) <doi:10.1177/1948550611430272>; for a practical primer see Brinkman, Todorov and Dotsch (2017) <doi:10.1080/10463283.2017.1381469>.
Author: Ron Dotsch [aut, cre]
Maintainer: Ron Dotsch <rdotsch@gmail.com>

Diff between rcicr versions 1.4.1 dated 2026-09-19 and 1.5.0 dated 2026-09-27

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Package ggimage updated to version 0.3.6 with previous version 0.3.5 dated 2026-01-08

Title: Use Image in 'ggplot2'
Description: Supports image files and graphic objects to be visualized in 'ggplot2' graphic system.
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [ctb] , Yonghe Xia [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package semicontMANOVA updated to version 0.2-1 with previous version 0.2 dated 2025-06-11

Title: Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data
Description: Implements Multivariate ANalysis Of VAriance (MANOVA) parameters' inference and test with regularization for semicontinuous high-dimensional data. The method can be applied also in presence of low-dimensional data. The p-value can be obtained through asymptotic distribution or using a permutation procedure. The package gives also the possibility to simulate this type of data. Method is described in Elena Sabbioni, Claudio Agostinelli and Alessio Farcomeni (2025) A regularized MANOVA test for semicontinuous high-dimensional data. Biometrical Journal, 67:e70054. DOI <doi:10.1002/bimj.70054>, arXiv DOI <doi:10.48550/arXiv.2401.04036>.
Author: Elena Sabbioni [aut, cre] , Claudio Agostinelli [aut] , Alessio Farcomeni [aut]
Maintainer: Elena Sabbioni <elena.sabbioni@stats.ox.ac.uk>

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Package polyglotSQL updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-04

Title: SQL Parsing, Analysis and Dialect Translation
Description: Parse, tokenize, validate, format, analyze and translate SQL between more than 30 dialects ('PostgreSQL', 'MySQL', 'BigQuery', 'Snowflake', 'DuckDB', 'T-SQL', and others) using the 'polyglot-sql' Rust crate <https://github.com/tobilg/polyglot>, a Rust port of the 'SQLGlot' 'Python' library. All processing happens locally in the R session; no database connection, 'Python' runtime or external service is required. Includes column-level lineage, structural query analysis, query optimization, 'AST' diffing and 'OpenLineage' facet generation.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut], Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Tobias Mueller [cph] ), Toby Mao [cph] , The authors of the vendored Rust dependencies [cph]
Maintainer: Andre Leite <leite@castlab.org>

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Package mildsvm updated to version 0.4.2 with previous version 0.4.1 dated 2025-08-19

Title: Multiple-Instance Learning with Support Vector Machines
Description: Weakly supervised (WS), multiple instance (MI) data lives in numerous interesting applications such as drug discovery, object detection, and tumor prediction on whole slide images. The 'mildsvm' package provides an easy way to learn from this data by training Support Vector Machine (SVM)-based classifiers. It also contains helpful functions for building and printing multiple instance data frames. The core methods from 'mildsvm' come from the following references: Kent and Yu (2024) <doi:10.1214/24-AOAS1876>; Xiao, Liu, and Hao (2018) <doi:10.1109/TNNLS.2017.2766164>; Muandet et al. (2012) <https://proceedings.neurips.cc/paper/2012/file/9bf31c7ff062936a96d3c8bd1f8f2ff3-Paper.pdf>; Chu and Keerthi (2007) <doi:10.1162/neco.2007.19.3.792>; and Andrews et al. (2003) <https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf>. Many functions use the 'Gurobi' optimization back-end to improve the optimization problem speed; the ' [...truncated...]
Author: Sean Kent [aut, cre] , Yifei Liou [aut]
Maintainer: Sean Kent <skent259@gmail.com>

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Package gfpop readmission to version 1.1.2 with previous version 1.1.1 dated 2023-03-27

Title: Graph-Constrained Functional Pruning Optimal Partitioning
Description: Penalized parametric change-point detection by functional pruning dynamic programming algorithm. The successive means are constrained using a graph structure with edges defining the nature of the changes These changes can be unconstrained (type std), up or down constrained (type up and down) or constrained by a minimal size jump (type abs). The type null means that the graph allows us to stay on the same segment. To each edge we can associate some additional properties: a minimal gap size, a penalty, some robust parameters (K,a) for biweight (K) and Huber losses (K and a). The user can also constrain the inferred means to lie between some minimal and maximal values. Data is modeled by a cost with possible use of a robust loss, biweight and Huber (see edge parameters K and a). These costs should have a quadratic, log-linear or a log-log representation. This includes quadratic Gaussian cost (type = 'mean'), log-linear cost (type = 'variance', 'poisson' or 'exp') and log-log cost (type = [...truncated...]
Author: Vincent Runge [aut, cre], Toby Hocking [aut], Guillem Rigaill [aut], Daniel Grose [aut], Gaetano Romano [aut], Fatemeh Afghah [aut], Paul Fearnhead [aut], Michel Koskas [ctb], Arnaud Liehrmann [ctb]
Maintainer: Vincent Runge <vincent.runge@univ-evry.fr>

This is a re-admission after prior archival of version 1.1.1 dated 2023-03-27

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Package geoidep readmission to version 0.4.0 with previous version 0.3.0 dated 2024-09-22

Title: Download Geographic Data on Various Topics Provided and Managed by the Spatial Data Infrastructure of Peru
Description: Provides R users with easy access to official cartographic data from Peru across a range of topics, including society, transport, environment, agriculture, climate, and more. It also includes data from regional government entities and technical-scientific institutions, all managed by Peru's Spatial Data Infrastructure. For more information, please visit: <https://www.geoidep.gob.pe/>.
Author: antony barja [aut, cre, cph]
Maintainer: antony barja <geografo.pe@gmail.com>

This is a re-admission after prior archival of version 0.3.0 dated 2024-09-22

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Package fdANOVA updated to version 0.1.3 with previous version 0.1.2 dated 2018-08-29

Title: Analysis of Variance for Univariate and Multivariate Functional Data
Description: Performs analysis of variance testing procedures for univariate and multivariate functional data (Cuesta-Albertos and Febrero-Bande (2010) <doi:10.1007/s11749-010-0185-3>, Gorecki and Smaga (2015) <doi:10.1007/s00180-015-0555-0>, Gorecki and Smaga (2017) <doi:10.1080/02664763.2016.1247791>, Zhang et al. (2018) <doi:10.1016/j.csda.2018.05.004>).
Author: Tomasz Gorecki [aut], Lukasz Smaga [aut, cre]
Maintainer: Lukasz Smaga <ls@amu.edu.pl>

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Package eidosapi updated to version 1.2.1 with previous version 1.2.0 dated 2026-09-11

Title: Connect to the Taxonomic Services of the Spanish Inventory of Natural Patrimony and Biodiversity
Description: Provides access to 'EIDOS' <https://iepnb.gob.es/areas-tematicas/especies-silvestres/eidos>, the taxonomic information service from the Spanish Inventory of Natural Patrimony and Biodiversity. This package includes a suite of functions that help retrieve species' taxonomic and conservation information from 'EIDOS' and match taxa names against the checklists available in the database. More information can be found at Miranda Cebrián, H. (2025) <doi:10.7818/ECOS.3134>.
Author: Hector Miranda-Cebrian [aut, cre, cph]
Maintainer: Hector Miranda-Cebrian <hectorm94@gmail.com>

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Package campsismod updated to version 1.4.1 with previous version 1.4.0 dated 2026-07-30

Title: Generic Implementation of a PK/PD Model
Description: A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read and write pharmacometric models from and to files, including a JSON-based interface to import Campsis models defined using a formal JSON schema distributed with the package. Models can be adapted further on the fly in the R environment using an intuitive API to add, modify or delete equations, ordinary differential equations (ODEs), model parameters or compartment properties (such as infusion duration or rate, bioavailability and initial values). The package also provides export facilities for use with the simulation packages 'rxode2' and 'mrgsolve'. The package itself is licensed under the GPL (>= 3); the JSON schema file shipped in inst/extdata is licensed separately under the Creative Commons Attribution 4.0 International (CC BY 4.0). This package is designed and intended to be used with the package 'campsi [...truncated...]
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

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More information about campsismod at CRAN
Permanent link

Package BeeBDC updated to version 1.3.5 with previous version 1.3.4 dated 2026-05-22

Title: Occurrence Data Cleaning
Description: Flags and checks occurrence data that are in Darwin Core format. The package includes generic functions and data as well as some that are specific to bees. This package is meant to build upon and be complimentary to other excellent occurrence cleaning packages, including 'bdc' and 'CoordinateCleaner'. This package uses datasets from several sources and particularly from the Discover Life Website, created by Ascher and Pickering (2020). For further information, please see the original publication and package website. Publication - Dorey et al. (2023) <doi:10.1101/2023.06.30.547152> and package website - Dorey et al. (2023) <https://github.com/jbdorey/BeeBDC>.
Author: James B. Dorey [aut, cre, cph] , Robert L. O'Reilly [aut] , Silas Bossert [aut] , Erica E. Fischer [aut]
Maintainer: James B. Dorey <jbdorey@me.com>

Diff between BeeBDC versions 1.3.4 dated 2026-05-22 and 1.3.5 dated 2026-09-27

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More information about BeeBDC at CRAN
Permanent link

Package arcgislayers updated to version 0.7.0 with previous version 0.6.1 dated 2026-07-10

Title: Harness ArcGIS Data Services
Description: Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform' to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.
Author: Josiah Parry [aut, cre] , Eli Pousson [ctb] , Kenneth Vernon [ctb] , Martha Bass [ctb] , Antony Barja [ctb] , Ryan Zomorrodi [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgislayers versions 0.6.1 dated 2026-07-10 and 0.7.0 dated 2026-09-27

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Permanent link

Package rdacca.hp updated to version 1.1-4 with previous version 1.1-3 dated 2026-04-21

Title: Hierarchical and Variation Partitioning for Canonical Analysis
Description: This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,13: 782-788 <DOI:10.1111/2041-210X.13800>.
Author: Jiangshan Lai [aut, cre] , Kim Nimon [aut], Yao Liu [aut], Pedro Peres-Neto [aut]
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>

Diff between rdacca.hp versions 1.1-3 dated 2026-04-21 and 1.1-4 dated 2026-09-27

 DESCRIPTION   |    8 ++++----
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More information about rdacca.hp at CRAN
Permanent link

Package ngme2 updated to version 1.0.0 with previous version 0.9.8 dated 2026-05-20

Title: Linear Latent Non-Gaussian Models with Flexible Distributions
Description: Fits and analyzes linear latent non-Gaussian models for temporal, spatial, and space-time data. The package provides model components for autoregressive and Ornstein-Uhlenbeck processes, random walks, Matern fields based on stochastic partial differential equations, separable and non-separable space-time models, graph-based Matern models, bivariate type-G fields, and user-defined sparse operators. Latent fields and observation models can use Gaussian and non-Gaussian noise distributions, including normal inverse Gaussian, generalized asymmetric Laplace, and skew-t distributions. Functions are included for simulation, likelihood-based estimation, prediction, cross-validation, convergence diagnostics, stochastic gradient optimization, batch-means confidence intervals, and posterior-like sampling. The modeling framework is described in Bolin, Jin, Simas and Wallin (2026) "A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework" <doi:10.48550/arXiv.2602.23987 [...truncated...]
Author: David Bolin [aut, cph], Xiaotian Jin [aut, cre], Alexandre Simas [aut], Jonas Wallin [aut], Andrea V. Rocha [ctb] , Timothy A. Davis [ctb, cph] , Patrick R. Amestoy [ctb, cph] , Iain S. Duff [ctb, cph] , John K. Reid [ctb, cph] , Yanqing Chen [ctb, c [...truncated...]
Maintainer: Xiaotian Jin <xiaotian.jin@kaust.edu.sa>

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Package FMradio updated to version 1.1.3 with previous version 1.1.2 dated 2025-08-29

Title: Factor Modeling for Radiomics Data
Description: Functions that support stable prediction and classification with radiomics data through factor-analytic modeling. For details, see Peeters et al. (2019) <doi:10.48550/arXiv.1903.11696>.
Author: Carel F.W. Peeters [cre, aut], Caroline Ubelhor [ctb], Kevin Kunzmann [ctb]
Maintainer: Carel F.W. Peeters <carel.peeters@wur.nl>

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Package DIME updated to version 1.3.1 with previous version 1.3.0 dated 2022-05-10

Title: Differential Identification using Mixture Ensemble
Description: A robust identification of differential binding sites method for analyzing ChIP-seq (Chromatin Immunoprecipitation Sequencing) comparing two samples that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) allowing for flexible modeling of data. Methods for Differential Identification using Mixture Ensemble (DIME) is described in: Taslim et al., (2011) <doi:10.1093/bioinformatics/btr165>.
Author: Cenny Taslim [aut, cre], Dustin Potter [ctb], Abbasali Khalili [ctb], Shili Lin [ctb]
Maintainer: Cenny Taslim <cenny.taslim@nationwidechildrens.org>

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Package selectr updated to version 0.8-0 with previous version 0.7-0 dated 2026-09-17

Title: Translate CSS Selectors to XPath Expressions
Description: Translates a CSS selector into an equivalent XPath expression. This allows us to use CSS selectors when working with the 'XML' and 'xml2' packages, which can only evaluate XPath expressions. Also provided are convenience functions for querying XML and HTML documents with CSS selectors. This package was originally a port of the Python package 'cssselect' (<https://cssselect.readthedocs.io/>).
Author: Simon Potter [aut, trl, cre], Simon Sapin [aut], Ian Bicking [aut]
Maintainer: Simon Potter <simon@sjp.co.nz>

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Package resultcheck updated to version 0.3.2 with previous version 0.3.1 dated 2026-09-14

Title: Result Stability Checks for Empirical R Projects
Description: Lightweight helpers for checking whether empirical results remain substantively unchanged across code revisions, platform differences, and package updates. The package supports regression-style testing of derived datasets, statistical model outputs, tables, and plots, helping researchers detect unintended result drift early and distinguish material from non-material changes in empirical workflows.
Author: Dianyi Yang [aut, cre, ctb]
Maintainer: Dianyi Yang <dianyi.yang@politics.ox.ac.uk>

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Package amapro updated to version 0.1.5 with previous version 0.1.4 dated 2026-01-27

Title: Thin Wrapper for Mapping Library 'AMap'('Gaode')
Description: Build and control interactive 2D and 3D maps with 'R/Shiny'. Lean set of powerful commands wrapping native calls to 'AMap' <https://lbs.amap.com/api/jsapi-v2/summary/>. Deliver rich mapping functionality with minimal overhead.
Author: Larry Helgason [aut, cre, cph]
Maintainer: Larry Helgason <larry@helgasoft.com>

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