Wed, 19 Nov 2025

Package autograph updated to version 0.5.0 with previous version 0.4.1 dated 2025-09-11

Title: Automatic Plotting of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between autograph versions 0.4.1 dated 2025-09-11 and 0.5.0 dated 2025-11-19

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Package SIMPLE.REGRESSION updated to version 0.2.8 with previous version 0.2.7 dated 2025-09-26

Title: OLS, Moderated, Logistic, and Count Regressions Made Simple
Description: Provides SPSS- and SAS-like output for least squares multiple regression, logistic regression, and count variable regressions. Detailed output is also provided for OLS moderated regression, interaction plots, and Johnson-Neyman regions of significance. The output includes standardized coefficients, partial and semi-partial correlations, collinearity diagnostics, plots of residuals, and detailed information about simple slopes for interactions. The output for some functions includes Bayes Factors and, if requested, regression coefficients from Bayesian Markov Chain Monte Carlo analyses. There are numerous options for model plots. The REGIONS_OF_SIGNIFICANCE function also provides Johnson-Neyman regions of significance and plots of interactions for both lm and lme models. There is also a function for partial and semipartial correlations and a function for conducting Cohen's set correlation analyses.
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

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Package fitODBOD updated to version 1.5.5 with previous version 1.5.4 dated 2024-11-20

Title: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Description: Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).
Author: Amalan Mahendran [aut, cre] , Pushpakanthie Wijekoon [aut, ctb]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

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Package EgoCor updated to version 1.3.4 with previous version 1.3.3 dated 2025-05-19

Title: Simple Presentation of Estimated Exponential Semi-Variograms
Description: User friendly interface based on the R package 'gstat' to fit exponential parametric models to empirical semi-variograms in order to model the spatial correlation structure of health data. Geo-located health outcomes of survey participants may be used to model spatial effects on health in an ego-centred approach. The package contains a range of functions to help explore the spatial structure of the data as well as visualize the fit of exponential models for various metaparameter combinations with respect to the number of lag intervals and maximal distance. Furthermore, the outcome of interest can be adjusted for covariates by fitting a linear regression in a preliminary step before the semi-variogram fitting process.
Author: Julia Dyck [aut, cre], Odile Sauzet [aut], Jan-Ole Koslik [aut]
Maintainer: Julia Dyck <j.dyck@uni-bielefeld.de>

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Package TrialEmulation updated to version 0.0.4.8 with previous version 0.0.4.5 dated 2025-06-13

Title: Causal Analysis of Observational Time-to-Event Data
Description: Implements target trial emulation methods to apply randomized clinical trial design and analysis in an observational setting. Using marginal structural models, it can estimate intention-to-treat and per-protocol effects in emulated trials using electronic health records. A description and application of the method can be found in Danaei et al (2013) <doi:10.1177/0962280211403603>.
Author: Isaac Gravestock [aut, cre] , Li Su [aut], Roonak Rezvani [aut] , Julia Moesch [aut], Medical Research Council [fnd], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

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Package splineplot updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-24

Title: Visualization of Spline Effects in GAM and GLM Models
Description: Creates 'ggplot2'-based visualizations of smooth effects from GAM (Generalized Additive Models) fitted with 'mgcv' and spline effects from GLM (Generalized Linear Models). Supports interaction terms and provides hazard ratio plots with histograms for survival analysis. Wood (2017, ISBN:9781498728331) provides comprehensive methodology for generalized additive models.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package hdf5lib readmission to version 1.14.6.8 with previous version 1.14.6.7 dated 2025-11-17

Title: Headers and Static Libraries for 'HDF5'
Description: 'HDF5' (Hierarchical Data Format 5) is a high-performance library and file format for storing and managing large, complex data. This package provides the static libraries and headers for the 'HDF5' 'C' library (release 1.14.6). It is intended for R package developers to use in the 'LinkingTo' field, which eliminates the need for users to install system-level 'HDF5' dependencies. This build is compiled with thread-safety enabled and supports dynamic loading of external compression filters. 'HDF5' is developed by 'The HDF Group' <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , The HDF Group [cph] , Jean-loup Mark [cph] , Gailly Adler [cph]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

This is a re-admission after prior archival of version 1.14.6.7 dated 2025-11-17

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Package gdalraster updated to version 2.3.0 with previous version 2.2.1 dated 2025-08-29

Title: Bindings to 'GDAL'
Description: API bindings to the Geospatial Data Abstraction Library ('GDAL', <https://gdal.org>). Implements the 'GDAL' Raster and Vector Data Models. Bindings are implemented with 'Rcpp' modules. Exposed C++ classes and stand-alone functions wrap much of the 'GDAL' API and provide additional functionality. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Class 'GDALRaster' encapsulates a 'GDALDataset' and its raster band objects. Class 'GDALVector' encapsulates an 'OGRLayer' and the 'GDALDataset' that contains it. Initial bindings are provided to the unified 'gdal' command line interface added in 'GDAL' 3.11. C++ stand-alone functions provide bindings to most 'GDAL' "traditional" raster and vector utilities, including 'OGR' facilities for vector geoprocessing, several algorithms, as well as the Geometry API ('GEOS' via 'GDAL' headers), the Spatial Reference Systems API, and methods for coordinate transformation. Bindings to the Virtual Systems In [...truncated...]
Author: Chris Toney [aut, cre] , Michael D. Sumner [ctb], Frank Warmerdam [ctb, cph] , Even Rouault [ctb, cph] , Marius Appel [ctb, cph] , Daniel James [ctb, cph] , Peter Dimov [ctb, cph]
Maintainer: Chris Toney <jctoney@gmail.com>

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Package CoxPlus updated to version 1.5.6 with previous version 1.1.1 dated 2015-10-24

Title: Cox Regression (Proportional Hazards Model) with Multiple Causes and Mixed Effects
Description: Extends the Cox model to events with more than one causes. Also supports random and fixed effects, tied events, and time-varying variables. Model details are provided in Peng et al. (2018) <doi:10.1509/jmr.14.0643>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <pengjing@live.com>

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Package bage updated to version 0.10.2 with previous version 0.10.1 dated 2025-11-17

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

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Package aramappings updated to version 0.1.1 with previous version 0.1.0 dated 2025-11-18

Title: Computes Adaptable Radial Axes Mappings
Description: Computes low-dimensional point representations of high-dimensional numerical data according to the data visualization method Adaptable Radial Axes described in: Manuel Rubio-Sánchez, Alberto Sanchez, and Dirk J. Lehmann (2017) "Adaptable radial axes plots for improved multivariate data visualization" <doi:10.1111/cgf.13196>.
Author: Manuel Rubio-Sanchez [aut, cre, cph] , Dirk J. Lehmann [ctb] , Miguel Angel Munoz Mohedano [ctb] , Alberto Sanchez Campos [ctb] , Cristina Soguero-Ruiz [ctb]
Maintainer: Manuel Rubio-Sanchez <manuel.rubio@urjc.es>

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Package DYNATE (with last version 0.1) was removed from CRAN

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

2022-10-14 0.1

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Package BSTZINB updated to version 2.0.1 with previous version 2.0.0 dated 2025-01-30

Title: Association Among Disease Counts and Socio-Environmental Factors
Description: Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.
Author: Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph], Sounak Chakraborty [ctb], Chae-Young Lim [ctb], Tanujit Dey [ctb]
Maintainer: Suman Majumder <smajumd2@gmail.com>

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Package tinytex updated to version 0.58 with previous version 0.57 dated 2025-04-15

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] , Posit Software, PBC [cph, fnd], Christophe Dervieux [ctb] , Devon Ryan [ctb] , Ethan Heinzen [ctb], Fernando Cagua [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package rcompanion updated to version 2.5.1 with previous version 2.5.0 dated 2025-02-13

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support Summary and Analysis of Extension Program Evaluation in R, and An R Companion for the Handbook of Biological Statistics. Vignettes are available at <https://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

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Package gss updated to version 2.2-10 with previous version 2.2-9 dated 2025-04-13

Title: General Smoothing Splines
Description: A comprehensive package for structural multivariate function estimation using smoothing splines.
Author: Chong Gu [aut, cre]
Maintainer: Chong Gu <chong@purdue.edu>

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Package collapse updated to version 2.1.5 with previous version 2.1.4 dated 2025-10-24

Title: Advanced and Fast Data Transformation
Description: A large C/C++-based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust, and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R, fast functions for data transformation and common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It seamlessly supports base R objects/cla [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], Alina Cherkas [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999- [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package CohortCharacteristics updated to version 1.1.0 with previous version 1.0.2 dated 2025-10-23

Title: Summarise and Visualise Characteristics of Patients in the OMOP CDM
Description: Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [ctb] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package bridgesampling updated to version 1.2-1 with previous version 1.1-2 dated 2021-04-16

Title: Bridge Sampling for Marginal Likelihoods and Bayes Factors
Description: Provides functions for estimating marginal likelihoods, Bayes factors, posterior model probabilities, and normalizing constants in general, via different versions of bridge sampling (Meng & Wong, 1996, <https://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>). Gronau, Singmann, & Wagenmakers (2020) <doi:10.18637/jss.v092.i10>.
Author: Quentin F. Gronau [aut, cre] , Henrik Singmann [aut] , Jonathan J. Forster [ctb], Eric-Jan Wagenmakers [ths], The JASP Team [ctb], Jiqiang Guo [ctb], Jonah Gabry [ctb], Ben Goodrich [ctb], Kees Mulder [ctb], Perry de Valpine [ctb], Aki Vehtari [ctb], [...truncated...]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>

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Package agridat updated to version 1.26 with previous version 1.25 dated 2025-10-08

Title: Agricultural Datasets
Description: Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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