Sun, 18 Oct 2026

New package POEMED with initial version 1.0.0
Package: POEMED
Title: Power Enhancement for High-Dimensional Mediation Analysis
Version: 1.0.0
Date: 2026-10-05
Description: Provides powerful global tests for high-dimensional mediation analysis with heterogeneous (and even contrasting) mediation effects, for continuous, binary, and count outcomes. The power enhancement (PE) idea augments a Wald test on the total indirect effect with a component that captures marginal signals from individual mediators, so that active mediators are detected even when their individual indirect effects cancel and the total indirect effect is zero. The package also identifies which individual mediators are active with familywise error rate or false discovery rate control. The methods implement Yu and Kelley (in press), "Power Enhancement in High-Dimensional Heterogeneous Mediation Analysis" (Journal of the American Statistical Association); the package also simulates mediation data under the homogeneous, heterogeneous, and contrasting patterns that the article studies, ships its empirical health-expenditure data as a benchmark and reruns that empirical analysis, and runs the de [...truncated...]
Imports: generics, glmnet, graphics, ncvreg, parallel, stats, utils, withr (>= 3.0.3)
Suggests: knitr, rmarkdown, testthat (>= 3.2.0), tools
License: GPL (>= 3)
Copyright: Xiufan Yu and Ken Kelley, except the WHO_health_mediation and WHO_indicator_codebook data sets, which redistribute World Health Organization (Global Health Expenditure Database) and World Bank (World Development Indicators) data under the terms stated on the help page of WHO_health_mediation and, in the source package, in the file LICENSE.note.
URL: https://github.com/yelleKneK/POEMED, https://yelleknek.github.io/POEMED/
BugReports: https://github.com/yelleKneK/POEMED/issues
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-10-05 11:34:16 UTC; kkelley
Author: Xiufan Yu [aut], Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>
Repository: CRAN
Date/Publication: 2026-10-18 14:00:02 UTC

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Package tidypredict updated to version 1.2.2 with previous version 1.2.1 dated 2026-09-09

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. Dozens of model classes are supported; see the "Supported models" article at <https://tidypredict.tidymodels.org/articles/models.html> for the current list.
Author: Emil Hvitfeldt [aut, cre] , Edgar Ruiz [aut], Max Kuhn [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package SpectralMM updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-15

Title: Spectral Majorization for Statistical Estimation
Description: Fits generalized linear, asymmetric and robust regression models using spectral majorization and iterative quadratic subproblem solvers. A shared C++ computational core supports dense and sparse designs, automatic intercepts, optional Wald inference and detailed iteration diagnostics. Native code is compiled automatically during package installation.
Author: Xun-Jian Li [aut, cre]
Maintainer: Xun-Jian Li <xunjianli@ucla.edu>

Diff between SpectralMM versions 0.1.0 dated 2026-10-15 and 0.2.0 dated 2026-10-18

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Package shaman updated to version 2.1.1 with previous version 2.1.0 dated 2026-10-16

Title: Sampling Hi-C Contact Matrices for Aparametric Normalization
Description: Generate expected Hi-C (genome-wide chromosome conformation capture) data maintaining marginal coverage, and the decay in contact probability with increasing genomic distance. Expected Hi-C data is used for normalization and graphical presentation of statistical significance of observed Hi-C contact enrichments. The method is described in Mendelson Cohen et al. (2017) <doi:10.1101/187203>.
Author: Amos Tanay [aut], Netta Mendelson Cohen [aut], Aviezer Lifshitz [aut, cre], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package plotbb updated to version 1.0.0 with previous version 0.1.2 dated 2026-05-21

Title: Grammar of Graphics on 'base' Graphics
Description: Implements a grammar of graphics on top of the 'base' graphics system. A 'bbplot' object is built incrementally with a '+' operator from data, aesthetic mappings and layers, then rendered with base graphics, so plotbb layers can be mixed with ordinary base plotting calls. The package provides layers for points, lines, bars, histograms, densities, boxplots, violins, ribbons, smooths, error bars and tiles, together with colour and other aesthetic scales, automatic legends, faceting, themes, coordinate flipping and significance annotations.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package performance updated to version 0.19.0 with previous version 0.18.2 dated 2026-09-10

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between performance versions 0.18.2 dated 2026-09-10 and 0.19.0 dated 2026-10-18

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Package emhawkes updated to version 1.0.1 with previous version 1.0.0 dated 2026-10-17

Title: Exponential Multivariate Hawkes Model
Description: Simulate and fit multivariate Hawkes models with exponential kernels, introduced by Hawkes (1971) <doi:10.2307/2334319>. Includes marked, state-dependent, and multi-kernel specifications. Parameter estimation uses maximum likelihood, following Ozaki (1979) <doi:10.1007/BF02480272>, through the optional 'maxLik' package or the optimization functions supplied with R.
Author: Kyungsub Lee [aut, cre]
Maintainer: Kyungsub Lee <kyungsub@gmail.com>

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Package censusindia updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-15

Title: Census of India Data, 1901-2011, with Boundaries and Projections
Description: Tables from every decennial Census of India from 1901 to 2011: population time series, Primary Census Abstracts at state, district and sub-district level, mother tongue tables, Scheduled Caste and Scheduled Tribe populations, and the 1931 caste tables by religion, together with Ministry of Health and Family Welfare population projections to 2036. Historical series are drawn from Jolad and Singh (2026) <doi:10.7910/DVN/ON8CP8>. Census variables can be returned with state or district boundaries of the matching census year attached for mapping. Boundary files and the largest village-level tables are downloaded on first use and cached locally.
Author: Saket Choudhary [aut, cre, cph]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>

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Package AHTauDesign updated to version 1.0 with previous version 0.1.0 dated 2026-09-10

Title: Prospective Trial Planning for Average Hazard Estimands
Description: Provides a simulation-based prospective planning workflow for average hazard estimands in two-arm time-to-event trials. Supports calibration and freezing of design-specific information-support rules, assessment of clinically preferred truncation horizons, conditional selection of clinically acceptable alternative horizons, and reverse design over sample size and additional follow-up. Separates information support from statistical power and supports auditable planning reports.
Author: Xinyue Zhao [aut, cre], Haitao Pan [aut]
Maintainer: Xinyue Zhao <xinyuezhao27@gwu.edu>

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Package swash updated to version 3.0.2 with previous version 3.0.1 dated 2026-10-11

Title: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data
Description: Within epidemic outbreaks, infections grow and decline differently between regions, and the velocity of spatial spread differs between countries. The swash library offers a set of model-based analyses for these topics. Spread velocity may be analysed with the Swash-Backwash Model for the Single Epidemic Wave by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> and corresponding functions for bootstrap confidence intervals, country comparison, and visualization of results. Differences in epidemic growth between regions may be analysed using logistic growth models, exponential growth models, Hawkes processes and breakpoint analyses. Cluster and hotspot analyses can be conducted using neighborhood matrices. See Wieland (2020) <doi:10.18335/region.v7i2.324> for an application of some of the mentioned analysis methods. All functionalities are accessed by the class "infpan" for infections panel data defined in this package, which is built from a data.frame provided by the [...truncated...]
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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Package IssueTrackeR updated to version 2.0.0 with previous version 1.5.0 dated 2026-08-21

Title: List Things to Do
Description: Manage a 'GitHub' problem using R: wrangle issues, labels and milestones. It includes functions for storing, prioritizing (sorting), displaying, adding, deleting, and selecting (filtering) issues based on qualitative and quantitative information. Issues (labels and milestones) are written in lists and categorized into the S3 class to be easily manipulated as datasets in R.
Author: Tanguy Barthelemy [aut, cre, art, cph]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package pigauto updated to version 0.11.0 with previous version 0.10.0 dated 2026-07-30

Title: Fill in Missing Species Traits Using a Phylogenetic Tree
Description: Imputes missing species trait data for comparative analyses by combining three sources of information: phylogenetic similarity (closely related species share similar traits), cross-trait correlations (observed traits inform missing ones), and optional environmental covariates (climate, habitat, geography). Handles continuous measurements, counts, binary variables, ordered categories, unordered categories, bounded proportions, zero-inflated counts, and compositional multi-proportion data in a single call. The default method is a phylogenetic baseline calibrated on held-out data; an optional graph neural network correction, which is needed to use covariates, is blended in through a per-trait gate that retains a baseline fallback. Provides conformal prediction intervals for continuous, count, ordinal, and proportion traits and an experimental analysis-aware multiple-imputation workflow for one missing continuous covariate in Gaussian linear, binomial-logit, and Gaussian random-intercept m [...truncated...]
Author: Shinichi Nakagawa [aut, cre, cph]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>

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 tests/testthat/test-zi-count-conformal-intervals.R          |only
 tests/testthat/test-zi-count-conformal-mi.R                 |only
 tests/testthat/test-zi-count-splits.R                       |only
 vignettes/common-pitfalls.Rmd                               |   81 
 vignettes/getting-started.Rmd                               |  328 +-
 vignettes/gnn-architecture.Rmd                              |  138 -
 vignettes/mixed-types.Rmd                                   |   27 
 vignettes/multiple-imputation.Rmd                           |only
 vignettes/tree-uncertainty.Rmd                              |   56 
 171 files changed, 11621 insertions(+), 3531 deletions(-)

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Package OmopViewer (with last version 0.7.0) was removed from CRAN

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

2026-02-09 0.7.0
2025-12-10 0.6.0
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Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-09-23 1.2.6
2026-07-08 1.2.5
2026-04-23 1.2.4
2026-04-10 1.2.3
2026-03-30 1.2.2
2026-03-18 1.2.1
2026-03-15 1.2
2025-11-28 1.1
2025-11-25 1.0

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