Wed, 03 Sep 2025

Package goeveg updated to version 0.7.9 with previous version 0.7.6 dated 2025-06-13

Title: Functions for Community Data and Ordinations
Description: A collection of functions useful in (vegetation) community analyses and ordinations. Includes automatic species selection for ordination diagrams, NMDS stress/scree plots, species response curves, merging of taxa as well as calculation and sorting of synoptic tables.
Author: Friedemann von Lampe [aut, cre] , Schellenberg Jenny [aut]
Maintainer: Friedemann von Lampe <fvonlampe@uni-goettingen.de>

Diff between goeveg versions 0.7.6 dated 2025-06-13 and 0.7.9 dated 2025-09-03

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Package FrF2.catlg128 updated to version 1.2-4 with previous version 1.2-3 dated 2023-10-07

Title: Catalogues of Resolution IV 128 Run 2-Level Fractional Factorials Up to 33 Factors that Do Have 5-Letter Words
Description: Catalogues of resolution IV regular fractional factorial designs in 128 runs are provided for up to 33 2-level factors. The catalogues are complete, excluding resolution IV designs without 5-letter words, because these do not add value for a search for unblocked clear designs. The previous package version 1.0 with complete catalogues up to 24 runs (24 runs and a namespace added later) can be downloaded from the authors website.
Author: Ulrike Groemping [aut, cre]
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

Diff between FrF2.catlg128 versions 1.2-3 dated 2023-10-07 and 1.2-4 dated 2025-09-03

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Package seminr readmission to version 2.3.7 with previous version 2.3.6 dated 2025-07-24

Title: Building and Estimating Structural Equation Models
Description: A powerful, easy to use syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis (Ray, Danks, and Valdez 2021 <doi:10.2139/ssrn.3900621>).
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], Andre Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne A [...truncated...]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>

This is a re-admission after prior archival of version 2.3.6 dated 2025-07-24

Diff between seminr versions 2.3.6 dated 2025-07-24 and 2.3.7 dated 2025-09-03

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Package pretestcad updated to version 1.1.0 with previous version 1.0.2 dated 2025-05-19

Title: Pretest Probability for Coronary Artery Disease
Description: An application to calculate a patient's pretest probability (PTP) for obstructive Coronary Artery Disease (CAD) from a collection of guidelines or studies. Guidelines usually comes from the American Heart Association (AHA), American College of Cardiology (ACC) or European Society of Cardiology (ESC). Examples of PTP scores that comes from studies are the 2020 Winther et al. basic, Risk Factor-weighted Clinical Likelihood (RF-CL) and Coronary Artery Calcium Score-weighted Clinical Likelihood (CACS-CL) models <doi:10.1016/j.jacc.2020.09.585>, 2019 Reeh et al. basic and clinical models <doi:10.1093/eurheartj/ehy806> and 2017 Fordyce et al. PROMISE Minimal-Risk Tool <doi:10.1001/jamacardio.2016.5501>. As diagnosis of CAD involves a costly and invasive coronary angiography procedure for patients, having a reliable PTP for CAD helps doctors to make better decisions during patient management. This ensures high risk patients can be diagnosed and treated early for CAD while [...truncated...]
Author: Jeremy Selva [aut, cre]
Maintainer: Jeremy Selva <jeremy1189.jjs@gmail.com>

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Package DoE.MIParray updated to version 1.0-2 with previous version 1.0-1 dated 2023-08-21

Title: Creation of Arrays by Mixed Integer Programming
Description: 'CRAN' packages 'DoE.base' and 'Rmosek' and non-'CRAN' package 'gurobi' are enhanced with functionality for the creation of optimized arrays for experimentation, where optimization is in terms of generalized minimum aberration. It is also possible to optimally extend existing arrays to larger run size. The package writes 'MPS' (Mathematical Programming System) files for use with any mixed integer optimization software that can process such files. If at least one of the commercial products 'Gurobi' or 'Mosek' (free academic licenses available for both) is available, the package also creates arrays by optimization. For installing 'Gurobi' and its R package 'gurobi', follow instructions at <https://support.gurobi.com/hc/en-us/articles/14462206790033-How-do-I-install-Gurobi-for-R>. For installing 'Mosek' and its R package 'Rmosek', follow instructions at <https://www.mosek.com/downloads/> and <https://docs.mosek.com/8.1/rmosek/install-interface.html>, or use the functiona [...truncated...]
Author: Ulrike Groemping [aut, cre]
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

Diff between DoE.MIParray versions 1.0-1 dated 2023-08-21 and 1.0-2 dated 2025-09-03

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Package xpose4 updated to version 4.7.4 with previous version 4.7.3 dated 2024-02-22

Title: Diagnostics for Nonlinear Mixed-Effect Models
Description: A model building aid for nonlinear mixed-effects (population) model analysis using NONMEM, facilitating data set checkout, exploration and visualization, model diagnostics, candidate covariate identification and model comparison. The methods are described in Keizer et al. (2013) <doi:10.1038/psp.2013.24>, and Jonsson et al. (1999) <doi:10.1016/s0169-2607(98)00067-4>.
Author: Andrew C. Hooker [aut, cre, cph], Mats O. Karlsson [aut, cph], Justin J. Wilkins [aut], E. Niclas Jonsson [aut, trl, cph], Ron Keizer [ctb]
Maintainer: Andrew C. Hooker <andrew.hooker@uu.se>

Diff between xpose4 versions 4.7.3 dated 2024-02-22 and 4.7.4 dated 2025-09-03

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Package WorldMapR updated to version 1.3.0 with previous version 1.2.0 dated 2025-03-21

Title: Worldwide or Coordinates-Based Heat Maps
Description: Easily plot heat maps of the world, based on continuous or categorical data. Country labels can also be added to the map.
Author: Luigi Annicchiarico [cre, aut]
Maintainer: Luigi Annicchiarico <luigi.annic@gmail.com>

Diff between WorldMapR versions 1.2.0 dated 2025-03-21 and 1.3.0 dated 2025-09-03

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Package treedater readmission to version 1.0.2 with previous version 0.5.0 dated 2020-01-26

Title: Fast Molecular Clock Dating of Phylogenetic Trees with Rate Variation
Description: Functions for estimating times of common ancestry and molecular clock rates of evolution using a variety of evolutionary models, parametric and nonparametric bootstrap confidence intervals, methods for detecting outlier lineages, root-to-tip regression, and a statistical test for selecting molecular clock models. For more details see Volz and Frost (2017) <doi:10.1093/ve/vex025>.
Author: Erik Volz [aut, cre]
Maintainer: Erik Volz <erik.volz@gmail.com>

This is a re-admission after prior archival of version 0.5.0 dated 2020-01-26

Diff between treedater versions 0.5.0 dated 2020-01-26 and 1.0.2 dated 2025-09-03

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Package happign updated to version 0.3.6 with previous version 0.3.5 dated 2025-07-29

Title: R Interface to 'IGN' Web Services
Description: Automatic open data acquisition from resources of IGN ('Institut National de Information Geographique et forestiere') (<https://www.ign.fr/>). Available datasets include various types of raster and vector data, such as digital elevation models, state borders, spatial databases, cadastral parcels, and more. 'happign' also provide access to API Carto (<https://apicarto.ign.fr/api/doc/>).
Author: Paul Carteron [aut, cre]
Maintainer: Paul Carteron <carteronpaul@gmail.com>

Diff between happign versions 0.3.5 dated 2025-07-29 and 0.3.6 dated 2025-09-03

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Package eHDPrep updated to version 1.3.4 with previous version 1.3.3 dated 2023-06-05

Title: Quality Control and Semantic Enrichment of Datasets
Description: A tool for the preparation and enrichment of health datasets for analysis (Toner et al. (2023) <doi:10.1093/gigascience/giad030>). Provides functionality for assessing data quality and for improving the reliability and machine interpretability of a dataset. 'eHDPrep' also enables semantic enrichment of a dataset where metavariables are discovered from the relationships between input variables determined from user-provided ontologies.
Author: Tom Toner [aut] , Ian Overton [aut, cre]
Maintainer: Ian Overton <I.Overton@qub.ac.uk>

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Package cellKey updated to version 1.0.3 with previous version 1.0.2 dated 2023-11-24

Title: Consistent Perturbation of Statistical Frequency- And Magnitude Tables
Description: Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf> which was extended and enhanced by Giessing and Tent (2019) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <bernhard.meindl@statistik.gv.at>

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Package Ternary updated to version 2.3.5 with previous version 2.3.4 dated 2025-05-07

Title: Create Ternary and Holdridge Plots
Description: Plots ternary diagrams (simplex plots / Gibbs triangles) and Holdridge life zone plots <doi:10.1126/science.105.2727.367> using the standard graphics functions. Allows custom annotation, interpolating, contouring and scaling of plotting region. Includes a 'Shiny' user interface for point-and-click ternary plotting. An alternative to 'ggtern', which uses the 'ggplot2' family of plotting functions.
Author: Martin R. Smith [aut, cre, cph] , Lilian Sanselme [ctb]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package spsur updated to version 1.0.2.6 with previous version 1.0.2.5 dated 2022-10-29

Title: Spatial Seemingly Unrelated Regression Models
Description: A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Minguez, R., Lopez, F.A., and Mur, J. (2022) <doi:10.18637/jss.v104.i11> Mur, J., Lopez, F.A., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <d [...truncated...]
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Maintainer: Roman Minguez <roman.minguez@uclm.es>

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Package MapGAM updated to version 1.3-1 with previous version 1.3 dated 2023-07-15

Title: Mapping Smoothed Effect Estimates from Individual-Level Data
Description: Contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individual-level data such as case-control study data, using generalized additive models (GAMs) or Cox models for smoothing with a two-dimensional predictor (e.g., geolocation or exposure to chemical mixtures) while adjusting linearly for confounding variables, using methods described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et al. (2020). Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the two-dimensional predictor is not associated with the outcome variable (adjusting for confounders).
Author: Lu Bai [aut], Scott Bartell [aut, cre] , Robin Bliss [aut], Veronica Vieira [aut]
Maintainer: Scott Bartell <sbartell@uci.edu>

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Package fuzzywuzzyR updated to version 1.0.6 with previous version 1.0.5 dated 2021-09-11

Title: Fuzzy String Matching
Description: Fuzzy string matching implementation of the 'fuzzywuzzy' <https://github.com/seatgeek/fuzzywuzzy> 'python' package. It uses the Levenshtein Distance <https://en.wikipedia.org/wiki/Levenshtein_distance> to calculate the differences between sequences.
Author: Lampros Mouselimis [aut, cre] , SeatGeek Inc [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package clinUtils updated to version 0.2.1 with previous version 0.2.0 dated 2024-05-17

Title: General Utility Functions for Analysis of Clinical Data
Description: Utility functions to facilitate the import, the reporting and analysis of clinical data. Example datasets in 'SDTM' and 'ADaM' format, containing a subset of patients/domains from the 'CDISC Pilot 01 study' are also available as R datasets to demonstrate the package functionalities.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Arne De Roeck [rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

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Package ttTensor readmission to version 1.0.2 with previous version 1.0.1 dated 2021-05-18

Title: Tensor-Train Decomposition
Description: Tensor-train is a compact representation for higher-order tensors. Some algorithms for performing tensor-train decomposition are available such as TT-SVD, TT-WOPT, and TT-Cross. For the details of the algorithms, see I. V. Oseledets (2011) <doi:10.1137/090752286>, Yuan Longao, et al (2017) <doi:10.48550/arXiv.1709.02641>, I. V. Oseledets (2010) <doi:10.1016/j.laa.2009.07.024>.
Author: Koki Tsuyuzaki [aut, cre], Manabu Ishii [aut], Itoshi Nikaido [aut]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

This is a re-admission after prior archival of version 1.0.1 dated 2021-05-18

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Package lolog updated to version 1.3.2 with previous version 1.3.1 dated 2023-12-07

Title: Latent Order Logistic Graph Models
Description: Estimation of Latent Order Logistic (LOLOG) Models for Networks. LOLOGs are a flexible and fully general class of statistical graph models. This package provides functions for performing MOM, GMM and variational inference. Visual diagnostics and goodness of fit metrics are provided. See Fellows (2018) <doi:10.48550/arXiv.1804.04583> for a detailed description of the methods.
Author: Ian E. Fellows [aut, cre], Mark S. Handcock [ctb]
Maintainer: Ian E. Fellows <ian@fellstat.com>

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New package SIMPLICA with initial version 1.0.0
Package: SIMPLICA
Title: Biclustering via Simplivariate Component Analysis
Version: 1.0.0
Description: Identifies constant, additive, multiplicative, and user-defined simplivariate components in numeric data matrices using a genetic algorithm. Supports flexible pattern definitions and provides visualization for general biclustering applications across diverse domains. The method builds on simplivariate models as introduced in Hageman et al. (2008) <doi:10.1371/journal.pone.0003259> and is related to biclustering frameworks as reviewed by Madeira and Oliveira (2004) <doi:10.1109/TCBB.2004.2>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
Imports: GA, ggplot2, ggsci
URL: https://github.com/joshageman/SIMPLICA
BugReports: https://github.com/joshageman/SIMPLICA/issues
NeedsCompilation: no
Packaged: 2025-08-28 21:00:06 UTC; josha
Author: Jos Hageman [aut, cre]
Maintainer: Jos Hageman <jos.hageman@wur.nl>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:18 UTC

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New package RSDC with initial version 1.1-2
Package: RSDC
Title: Regime-Switching Dynamic Correlation Models
Version: 1.1-2
Description: Estimation, forecasting, simulation, and portfolio construction for regime-switching models with exogenous variables as in Pelletier (2006) <doi:10.1016/j.jeconom.2005.01.013>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ArdiaD/RSDC
BugReports: https://github.com/ArdiaD/RSDC/issues
Imports: Rdpack (>= 2.0), DEoptim, mvtnorm, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), quadprog, Rsolnp
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-28 18:40:15 UTC; ardiad
Author: David Ardia [aut, cre] , Benjamin Seguin [aut]
Maintainer: David Ardia <david.ardia.ch@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:24 UTC

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Package rgoogleads updated to version 0.13.3 with previous version 0.12.0 dated 2025-01-10

Title: Loading Data from 'Google Ads API'
Description: Interface for loading data from 'Google Ads API', see <https://developers.google.com/google-ads/api/docs/start>. Package provide function for authorization and loading reports.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package PlackettLuce updated to version 0.4.4 with previous version 0.4.3 dated 2023-06-16

Title: Plackett-Luce Models for Rankings
Description: Functions to prepare rankings data and fit the Plackett-Luce model jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized to accommodate ties of any order in the ranking. Partial rankings, in which only a subset of items are ranked in each ranking, are also accommodated in the implementation. Disconnected/weakly connected networks implied by the rankings may be handled by adding pseudo-rankings with a hypothetical item. Optionally, a multivariate normal prior may be set on the log-worth parameters and ranker reliabilities may be incorporated as proposed by Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a posteriori estimation is used when priors are set. Methods are provided to estimate standard errors or quasi-standard errors for inference as well as to fit Plackett-Luce trees. See the package website or vignette for further details.
Author: Heather Turner [aut, cre] , Ioannis Kosmidis [aut] , David Firth [aut] , Jacob van Etten [ctb]
Maintainer: Heather Turner <ht@heatherturner.net>

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New package permRand with initial version 1.0.0
Package: permRand
Title: Permutation Randomization
Version: 1.0.0
Description: Provides randomization using permutation for applications. To provide a Quality Control (QC) check, QC samples can be randomized within strata. A second function allows for the ability to ”switch” samples to meet set requirements and perform a certain amount of minimization on these switches. The functions are flexible for users by specifying strata size and number of QC samples per strata. The randomization meets the following requirements • QC sample requirements: QC samples not adjacent, QC samples from same mother must follow certain patterns. • Matched sample sets must be within a single strata, and next to each other.
URL: https://github.com/m-mellers/permRand
BugReports: https://github.com/m-mellers/permRand/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: magrittr, dplyr, tidyr, stringr
License: GPL (>= 3)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-28 16:18:36 UTC; michellemellers
Author: Michelle Mellers [aut, cre, cph], Thaddeus Haight [aut]
Maintainer: Michelle Mellers <michelle.mellers.ctr@usuhs.edu>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:02 UTC

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New package kerasnip with initial version 0.0.1
Package: kerasnip
Title: A Bridge Between 'keras' and 'tidymodels'
Version: 0.0.1
Description: Provides a seamless bridge between 'keras' and the 'tidymodels' ecosystem. It allows for the dynamic creation of 'parsnip' model specifications for 'keras' models.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: abind, parsnip (>= 1.0.0), rlang, keras3, tibble, purrr, dplyr, cli, recipes, reticulate
Suggests: testthat (>= 3.0.0), modeldata, tidymodels, finetune, tune, dials, workflows, rsample, knitr, lme4, rmarkdown, future, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-23 14:37:26 UTC; david
Author: David Diaz [aut, cre]
Maintainer: David Diaz <daviddrsch@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-09-03 08:00:07 UTC

More information about kerasnip at CRAN
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Package Docovt updated to version 0.3 with previous version 0.2 dated 2025-06-29

Title: Distributed Online Covariance Matrix Tests
Description: Distributed Online Covariance Matrix Tests 'Docovt' is a powerful tool designed to efficiently process and analyze distributed datasets. It enables users to perform covariance matrix tests in an online, distributed manner, making it highly suitable for large-scale data analysis. By leveraging advanced computational techniques, 'Docovt' ensures robust and scalable solutions for statistical analysis, particularly in scenarios where data is dispersed across multiple nodes or sources. This package is ideal for researchers and practitioners working with high-dimensional data, providing a flexible and efficient framework for covariance matrix estimation and hypothesis testing. The philosophy of 'Docovt' is described in Guo G.(2025) <doi:10.1016/j.physa.2024.130308>.
Author: Guangbao Guo [aut, cre] , Congfan Zhang [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between Docovt versions 0.2 dated 2025-06-29 and 0.3 dated 2025-09-03

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New package CoxMK with initial version 0.1.1
Package: CoxMK
Title: A Model-X Knockoff Method for Genome-Wide Survival Association Analysis
Version: 0.1.1
Author: Yang Chen [aut, cre], Contributors [ctb]
Maintainer: Yang Chen <yangchen5@stu.scu.edu.cn>
Description: A genome-wide survival framework that integrates sequential conditional independent tuples and saddlepoint approximation method, to provide SNP-level false discovery rate control while improving power, particularly for biobank-scale survival analyses with low event rates. The method is based on model-X knockoffs as described in Barber and Candes (2015) <doi:10.1214/15-AOS1337> and fast survival analysis methods from Bi et al. (2020) <doi:10.1016/j.ajhg.2020.06.003>. A shrinkage algorithmic leveraging accelerates multiple knockoffs generation in large genetic cohorts. This CRAN version uses standard Cox regression for association testing. For enhanced performance on very large datasets, users may optionally install the 'SPACox' package from GitHub which provides saddlepoint approximation methods for survival analysis.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, survival, irlba, stats, utils, gdsfmt, BEDMatrix
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-08-28 16:30:31 UTC; fairy
Repository: CRAN
Date/Publication: 2025-09-03 08:00:29 UTC

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New package causalDT with initial version 1.0.0
Package: causalDT
Title: Causal Distillation Trees
Version: 1.0.0
Description: Causal Distillation Tree (CDT) is a novel machine learning method for estimating interpretable subgroups with heterogeneous treatment effects. CDT allows researchers to fit any machine learning model (or metalearner) to estimate heterogeneous treatment effects for each individual, and then "distills" these predicted heterogeneous treatment effects into interpretable subgroups by fitting an ordinary decision tree to predict the previously-estimated heterogeneous treatment effects. This package provides tools to estimate causal distillation trees (CDT), as detailed in Huang, Tang, and Kenney (2025) <doi:10.48550/arXiv.2502.07275>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: bcf, dplyr, ggparty, ggplot2, grf, lifecycle, partykit, purrr, R.utils, Rcpp, rlang, rpart, stringr, tibble, tidyselect
URL: https://tiffanymtang.github.io/causalDT/
NeedsCompilation: yes
Packaged: 2025-08-28 20:55:06 UTC; ttang4
Author: Tiffany Tang [aut, cre] , Melody Huang [aut], Ana Kenney [aut]
Maintainer: Tiffany Tang <ttang4@nd.edu>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:13 UTC

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Package SelfControlledCaseSeries updated to version 6.1.0 with previous version 6.0.1 dated 2025-07-15

Title: Self-Controlled Case Series
Description: Execute the self-controlled case series (SCCS) design using observational data in the OMOP Common Data Model. Extracts all necessary data from the database and transforms it to the format required for SCCS. Age and season can be modeled using splines assuming constant hazard within calendar months. Event-dependent censoring of the observation period can be corrected for. Many exposures can be included at once (MSCCS), with regularization on all coefficients except for the exposure of interest. Includes diagnostics for all major assumptions of the SCCS.
Author: Martijn Schuemie [aut, cre], Patrick Ryan [aut], Trevor Shaddox [aut], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package saeHB.TF.beta updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-14

Title: SAE using HB Twofold Subarea Model under Beta Distribution
Description: Estimates area and subarea level proportions using the Small Area Estimation (SAE) Twofold Subarea Model with a hierarchical Bayesian (HB) approach under Beta distribution. A number of simulated datasets generated for illustration purposes are also included. The 'rstan' package is employed to estimate parameters via the Hamiltonian Monte Carlo and No U-Turn Sampler algorithm. The model-based estimators include the HB mean, the variation of the mean, and quantiles. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, Erciulescu et al.(2019) <doi:10.1111/rssa.12390>, and Yudasena (2024).
Author: Nasya Zahira Putri [aut, cre], Cucu Sumarni [aut], Rizal Fauziarochman Yudasena [aut]
Maintainer: Nasya Zahira Putri <nasyazp28@gmail.com>

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Package mateable updated to version 0.3.3 with previous version 0.3.2 dated 2023-02-04

Title: Assess Mating Potential in Space and Time
Description: Simulate, manage, visualize, and analyze spatially and temporally explicit datasets of mating potential. Implements methods to calculate synchrony, proximity, and compatibility.Synchrony calculations are based on methods described in Augspurger (1983) <doi:10.2307/2387650>, Kempenaers (1993) <doi:10.2307/3676415>, Ison et al. (2014) <doi:10.3732/ajb.1300065>, and variations on these, as described.
Author: Stuart Wagenius [cre, aut], Danny Hanson [aut], Amy Waananen [aut]
Maintainer: Stuart Wagenius <stuart.wagenius@gmail.com>

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Package KGode updated to version 1.0.5 with previous version 1.0.4 dated 2022-08-19

Title: Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations
Description: The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) <https://proceedings.mlr.press/v48/niu16.html> and the warping algorithm proposed in Niu et al. (2017) <DOI:10.1007/s00180-017-0753-z> are implemented for parameter inference in differential equations. Four schemes are provided for improving parameter estimation in odes by using the odes regularisation and warping.
Author: Mu Niu [aut, cre]
Maintainer: Mu Niu <mu.niu@glasgow.ac.uk>

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Package etwfe readmission to version 0.6.0 with previous version 0.5.0 dated 2024-12-16

Title: Extended Two-Way Fixed Effects
Description: Convenience functions for implementing extended two-way fixed effect regressions a la Wooldridge (2021, 2023) <doi:10.2139/ssrn.3906345>, <doi:10.1093/ectj/utad016>.
Author: Grant McDermott [aut, cre] , Frederic Kluser [ctb]
Maintainer: Grant McDermott <gmcd@amazon.com>

This is a re-admission after prior archival of version 0.5.0 dated 2024-12-16

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Package conText updated to version 3.0.0 with previous version 1.4.3 dated 2023-02-09

Title: 'a la Carte' on Text (ConText) Embedding Regression
Description: A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte' embeddings approach developed by Khodak et al. (2018) <doi:10.48550/arXiv.1805.05388> and evaluate hypotheses about covariate effects on embeddings using the regression framework developed by Rodriguez et al. (2021)<doi:10.1017/S0003055422001228>. New version of the package applies a new estimator to measure the distance between word embeddings as described in Green et al. (2025) <doi:10.1017/pan.2024.22>.
Author: Pedro L. Rodriguez [aut, cph] , Arthur Spirling [aut] , Brandon Stewart [aut] , Christopher Barrie [ctb] , Sofia Avila [cre, aut]
Maintainer: Sofia Avila <sofiaavila@princeton.edu>

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Package jstable updated to version 1.3.17 with previous version 1.3.16 dated 2025-08-20

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut], Sungho Choi [aut], Jaewoong Heo [aut], Mingu Jee [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package iRfcb updated to version 0.5.2 with previous version 0.5.1 dated 2025-04-22

Title: Tools for Managing Imaging FlowCytobot (IFCB) Data
Description: A comprehensive suite of tools for managing, processing, and analyzing data from the IFCB. I R FlowCytobot ('iRfcb') supports quality control, geospatial analysis, and preparation of IFCB data for publication in databases like <https://www.gbif.org>, <https://www.obis.org>, <https://emodnet.ec.europa.eu/en>, <https://shark.smhi.se/>, and <https://www.ecotaxa.org>. The package integrates with the MATLAB 'ifcb-analysis' tool, which is described in Sosik and Olson (2007) <doi:10.4319/lom.2007.5.204>, and provides features for working with raw, manually classified, and machine learning–classified image datasets. Key functionalities include image extraction, particle size distribution analysis, taxonomic data handling, and biomass concentration calculations, essential for plankton research.
Author: Anders Torstensson [aut, cre] , Kendra Hayashi [ctb] , Jamie Enslein [ctb], Raphael Kudela [ctb] , Alle Lie [ctb] , Jayme Smith [ctb] , DTO-BioFlow [fnd] , SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

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Package gargle updated to version 1.6.0 with previous version 1.5.2 dated 2023-07-20

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>. This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Author: Jennifer Bryan [aut, cre] , Craig Citro [aut], Hadley Wickham [aut] , Google Inc [cph], Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

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 R/gargle-package.R                                                               |    2 
 R/gargle_oauth_client.R                                                          |   37 
 R/oauth-cache.R                                                                  |   26 
 R/oauth-init.R                                                                   |   40 
 R/request_develop.R                                                              |   26 
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 inst/doc/troubleshooting.html                                                    |    5 
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 man/gargle_secret.Rd                                                             |    2 
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 man/request_make.Rd                                                              |    2 
 man/request_retry.Rd                                                             |    2 
 man/response_process.Rd                                                          |    2 
 tests/spelling.R                                                                 |    3 
 tests/testthat/_snaps/credentials_service_account.md                             |   10 
 tests/testthat/_snaps/request_retry.md                                           |   38 
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 tests/testthat/fixtures/drive-files-get-nonexistent-file-id_404.R                |    5 
 tests/testthat/fixtures/sheets-spreadsheets-get-api-key-not-enabled_403.R        |   11 
 tests/testthat/fixtures/sheets-spreadsheets-get-bad-field-mask_400.R             |    5 
 tests/testthat/fixtures/sheets-spreadsheets-get-nonexistent-range_400.R          |    5 
 tests/testthat/fixtures/sheets-spreadsheets-get-nonexistent-sheet-id_404.R       |    3 
 tests/testthat/fixtures/sheets-spreadsheets-get-quota-exceeded-readgroup_429.R   |    5 
 tests/testthat/fixtures/sheets-spreadsheets-get-quota-exceeded-readgroup_429.rds |binary
 tests/testthat/fixtures/sheets-spreadsheets-get-service-disabled.R               |only
 tests/testthat/fixtures/sheets-spreadsheets-get-service-disabled_403.rds         |only
 tests/testthat/helper.R                                                          |    8 
 tests/testthat/test-AuthState-class.R                                            |   54 +
 tests/testthat/test-Gargle-class.R                                               |   12 
 tests/testthat/test-assets.R                                                     |    7 
 tests/testthat/test-cred_funs.R                                                  |   10 
 tests/testthat/test-credentials_app_default.R                                    |   24 
 tests/testthat/test-credentials_byo_oauth2.R                                     |    6 
 tests/testthat/test-credentials_service_account.R                                |    6 
 tests/testthat/test-gargle_oauth_client.R                                        |   17 
 tests/testthat/test-oauth-cache.R                                                |   12 
 tests/testthat/test-oauth-refresh.R                                              |    7 
 tests/testthat/test-request_develop.R                                            |    6 
 tests/testthat/test-request_retry.R                                              |   65 +
 tests/testthat/test-response_process.R                                           |   14 
 tests/testthat/test-utils-ui.R                                                   |   19 
 tests/testthat/test-utils.R                                                      |    8 
 vignettes/auth-from-web.Rmd                                                      |   14 
 vignettes/gargle-auth-in-client-package.Rmd                                      |    4 
 vignettes/get-api-credentials.Rmd                                                |   16 
 vignettes/how-gargle-gets-tokens.Rmd                                             |   16 
 vignettes/non-interactive-auth.Rmd                                               |   19 
 90 files changed, 2181 insertions(+), 1780 deletions(-)

More information about gargle at CRAN
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Package Certara.RsNLME updated to version 3.1.0.1 with previous version 3.1.0 dated 2025-08-22

Title: Pharmacometric Modeling
Description: Facilitate Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling and simulation with powerful tools for Nonlinear Mixed-Effects (NLME) modeling. The package provides access to the same advanced Maximum Likelihood algorithms used by the NLME-Engine in the Phoenix platform. These tools support a range of analyses, from parametric methods to individual and pooled data, and support integrated use within the Pirana pharmacometric workbench <doi:10.1002/psp4.70067>. Execution is supported both locally or on remote machines.
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Vitalii Nazarov [aut], Shuhua Hu [ctb], Soltanshahi Fred [aut], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

Diff between Certara.RsNLME versions 3.1.0 dated 2025-08-22 and 3.1.0.1 dated 2025-09-03

 DESCRIPTION                        |    6 +-
 MD5                                |   90 ++++++++++++++++++-------------------
 R/SimpleNlmeJob.R                  |    2 
 R/acceptAllEffects.R               |    2 
 R/addTablesToColumnMapping.R       |    2 
 R/bootstrap.r                      |    2 
 R/checkHostParams.R                |    2 
 R/copyModel.R                      |    2 
 R/covariateModel.R                 |    2 
 R/create_model_from_metamodel.R    |    2 
 R/create_model_info.R              |    2 
 R/extract_mmdl.R                   |    2 
 R/fitmodel.R                       |    2 
 R/getThetas.R                      |    2 
 R/job.r                            |    2 
 R/obtain_NLMELicense.R             |    4 -
 R/profile_estimation.r             |    4 -
 R/run_metamodel.R                  |    4 -
 R/shotgunSearch.R                  |    2 
 R/sortfit.R                        |    2 
 R/stepwiseSearch.R                 |    2 
 R/vpc.r                            |    6 +-
 man/NlmeJobStatus.Rd               |    2 
 man/NlmeVpcParams-class.Rd         |    2 
 man/RunProfilePertubation.Rd       |    2 
 man/acceptAllEffects.Rd            |    2 
 man/bootstrap.Rd                   |    2 
 man/checkHostParams.Rd             |    2 
 man/copyModel.Rd                   |    2 
 man/covariateModel.Rd              |    2 
 man/createModelInfo.Rd             |    2 
 man/create_model_from_metamodel.Rd |    2 
 man/extract_mmdl.Rd                |    2 
 man/fitmodel.Rd                    |    2 
 man/getThetas.Rd                   |    2 
 man/obtain_NLMELicense.Rd          |    2 
 man/parse_NLMEHosts.Rd             |    2 
 man/print.SimpleNlmeJob.Rd         |    2 
 man/profilePertubate.Rd            |    2 
 man/remove_NLMELicense.Rd          |    2 
 man/run_metamodel.Rd               |    2 
 man/shotgunSearch.Rd               |    2 
 man/simmodel.Rd                    |    2 
 man/sortfit.Rd                     |    2 
 man/stepwiseSearch.Rd              |    2 
 man/vpcmodel.Rd                    |    2 
 46 files changed, 97 insertions(+), 97 deletions(-)

More information about Certara.RsNLME at CRAN
Permanent link


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