Tue, 05 Mar 2024

Package rmpw updated to version 0.0.5 with previous version 0.0.4 dated 2018-07-18

Title: Causal Mediation Analysis Using Weighting Approach
Description: We implement causal mediation analysis using the methods proposed by Hong (2010) and Hong, Deutsch & Hill (2015) <doi:10.3102/1076998615583902>. It allows the estimation and hypothesis testing of causal mediation effects through ratio of mediator probability weights (RMPW). This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. We also implement a sensitivity analysis by extending the RMPW method to assess potential bias in the presence of omitted pretreatment or posttreatment covariates. The sensitivity analysis strategy was proposed by Hong, Qin, and Yang (2018) <doi:10.3102/1076998617749561>.
Author: Xu Qin, Guanglei Hong, and Fan Yang
Maintainer: Xu Qin <xuqin@uchicago.edu>

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Package RcmdrPlugin.DCCV updated to version 0.1-4 with previous version 0.1-3 dated 2023-12-06

Title: R Commander Plug-in for Dichotomous Choice Contingent Valuation
Description: Adds menu items to the R Commander for parametric analysis of dichotomous choice contingent valuation (DCCV) data. CV is a question-based survey method to elicit individuals' preferences for goods and services. This package depends on functions regarding parametric DCCV analysis in the package DCchoice. See Carson and Hanemann (2005) <doi:10.1016/S1574-0099(05)02017-6> for DCCV.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

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Package mediationsens updated to version 0.0.3 with previous version 0.0.2 dated 2020-06-14

Title: Simulation-Based Sensitivity Analysis for Causal Mediation Studies
Description: Simulation-based sensitivity analysis for causal mediation studies. It numerically and graphically evaluates the sensitivity of causal mediation analysis results to the presence of unmeasured pretreatment confounding. The proposed method has primary advantages over existing methods. First, using an unmeasured pretreatment confounder conditional associations with the treatment, mediator, and outcome as sensitivity parameters, the method enables users to intuitively assess sensitivity in reference to prior knowledge about the strength of a potential unmeasured pretreatment confounder. Second, the method accurately reflects the influence of unmeasured pretreatment confounding on the efficiency of estimation of the causal effects. Third, the method can be implemented in different causal mediation analysis approaches, including regression-based, simulation-based, and propensity score-based methods. It is applicable to both randomized experiments and observational studies.
Author: Xu Qin and Fan Yang
Maintainer: Xu Qin <xuqin@pitt.edu>

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Package Sim.DiffProc updated to version 4.9 with previous version 4.8 dated 2020-11-08

Title: Simulation of Diffusion Processes
Description: It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of stochastic differential systems in both forms Ito and Stratonovich. Statistical analysis with parallel Monte Carlo and moment equations methods of SDEs <doi:10.18637/jss.v096.i02>. Enabled many searchers in different domains to use these equations to modeling practical problems in financial and actuarial modeling and other areas of application, e.g., modeling and simulate of first passage time problem in shallow water using the attractive center (Boukhetala K, 1996) ISBN:1-56252-342-2.
Author: Arsalane Chouaib Guidoum [cre, aut] , Kamal Boukhetala [aut]
Maintainer: Arsalane Chouaib Guidoum <acguidoum@univ-tam.dz>

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Package PracTools updated to version 1.4.3 with previous version 1.4.2 dated 2023-12-05

Title: Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant [aut, cre], Jill A. Dever [ctb], Frauke Kreuter [ctb], George Zipf [aut]
Maintainer: Richard Valliant <valliant@umich.edu>

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Package nodbi updated to version 0.10.4 with previous version 0.10.3 dated 2024-03-03

Title: 'NoSQL' Database Connector
Description: Simplified document database access and manipulation, providing a common API across supported 'NoSQL' databases 'Elasticsearch', 'CouchDB', 'MongoDB' as well as 'SQLite/JSON1', 'PostgreSQL', and 'DuckDB'.
Author: Ralf Herold [aut, cre] , Scott Chamberlain [aut] , Rich FitzJohn [aut], Jeroen Ooms [aut]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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New package multinma with initial version 0.6.1
Package: multinma
Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Version: 0.6.1
Description: Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, stats, graphics, survival, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.0.0), Rdpack (>= 0.7), tibble (>= 2.1.3), dplyr (>= 1.0.0), rlang, purrr, forcats, glue, randtoolbox, copula, tidyr (>= 1.0.0), stringr, Matrix, igraph, ggraph, ggplot2 (>= 3.3.0), ggdist (>= 2.1.1), truncdist, bayesplot
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
SystemRequirements: GNU make
Suggests: testthat (>= 2.1.0), withr, knitr, rmarkdown, parallel, R.rsp, rprojroot, loo (>= 2.0.0), logitnorm, crayon, tidygraph, pkgdown, splines2 (>= 0.5.0), flexsurv, rstpm2
URL: https://dmphillippo.github.io/multinma/, https://github.com/dmphillippo/multinma
BugReports: https://github.com/dmphillippo/multinma/issues
VignetteBuilder: knitr, R.rsp
NeedsCompilation: yes
Packaged: 2024-03-05 12:56:33 UTC; dp14189
Author: David M. Phillippo [aut, cre]
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2024-03-06 01:00:05 UTC

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Package medScan updated to version 1.0.2 with previous version 1.0.1 dated 2022-10-05

Title: Large Scale Single Mediator Hypothesis Testing
Description: A collection of methods for large scale single mediator hypothesis testing. The six included methods for testing the mediation effect are Sobel's test, Max P test, joint significance test under the composite null hypothesis, high dimensional mediation testing, divide-aggregate composite null test, and Sobel's test under the composite null hypothesis. Du et al (2023) <doi:10.1002/gepi.22510>.
Author: Jiacong Du [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>

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Package fdarep updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-28

Title: Two-Dimensional FPCA, Marginal FPCA, and Product FPCA for Repeated Functional Data
Description: Provides an implementation of two-dimensional functional principal component analysis (FPCA), Marginal FPCA, and Product FPCA for repeated functional data. Marginal and Product FPCA implementations are done for both dense and sparsely observed functional data. References: Chen, K., Delicado, P., & Müller, H. G. (2017) <doi:10.1111/rssb.12160>. Chen, K., & Müller, H. G. (2012) <doi:10.1080/01621459.2012.734196>. Hall, P., Müller, H.G. and Wang, J.L. (2006) <doi:10.1214/009053606000000272>. Yao, F., Müller, H. G., & Wang, J. L. (2005) <doi:10.1198/016214504000001745>.
Author: Poorbita Kundu [aut, cre], Changbo Zhu [aut], Kehui Chen [aut], Pedro Delicado [aut], Su I Iao [aut], Hang Zhou [aut], Han Chen [aut], Muqing Cui [aut], Hans-Georg Mueller [cph, ths, aut]
Maintainer: Poorbita Kundu <pkundu@ucdavis.edu>

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Package DrugUtilisation updated to version 0.5.2 with previous version 0.5.1 dated 2024-02-28

Title: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model
Description: Summarise patient-level drug utilisation cohorts using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. New users and prevalent users cohorts can be generated and their characteristics, indication and drug use summarised.
Author: Marti Catala [aut, cre] , Mike Du [aut] , Yuchen Guo [aut] , Kim Lopez-Guell [aut] , Edward Burn [ctb] , Xintong Li [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package adfExplorer updated to version 0.1.8 with previous version 0.1.6 dated 2021-09-05

Title: Import from and Export to Amiga Disk Files
Description: Amiga Disk Files (ADF) are virtual representations of 3.5 inch floppy disks for the Commodore Amiga. Most disk drives from other systems (including modern drives) are not able to read these disks. To be able to emulate this system, the ADF format was created. This package enables you to read ADF files and import and export files from and to such virtual DOS-formatted disks.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package mortAAR updated to version 1.1.6 with previous version 1.1.5 dated 2023-08-27

Title: Analysis of Archaeological Mortality Data
Description: A collection of functions for the analysis of archaeological mortality data (on the topic see e.g. Chamberlain 2006 <https://books.google.de/books?id=nG5FoO_becAC&lpg=PA27&ots=LG0b_xrx6O&dq=life%20table%20archaeology&pg=PA27#v=onepage&q&f=false>). It takes demographic data in different formats and displays the result in a standard life table as well as plots the relevant indices (percentage of deaths, survivorship, probability of death, life expectancy, percentage of population).
Author: Nils Mueller-Scheessel [aut, cre, cph], Martin Hinz [aut], Clemens Schmid [aut], Christoph Rinne [aut], Daniel Knitter [aut], Wolfgang Hamer [aut], Dirk Seidensticker [aut], Franziska Faupel [aut], Carolin Tietze [aut], Nicole Grunert [aut]
Maintainer: Nils Mueller-Scheessel <nils.mueller-scheessel@ufg.uni-kiel.de>

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Package pubmedtk updated to version 1.0.4 with previous version 1.0.3 dated 2024-02-27

Title: 'Pubmed' Toolkit
Description: Provides various functions for retrieving and interpreting information from 'Pubmed' via the API, <https://www.ncbi.nlm.nih.gov/home/develop/api/>.
Author: Benjamin Gregory Carlisle [aut, cre]
Maintainer: Benjamin Gregory Carlisle <murph@bgcarlisle.com>

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Package tidysdm updated to version 0.9.4 with previous version 0.9.3 dated 2024-01-17

Title: Species Distribution Models with Tidymodels
Description: Fit species distribution models (SDMs) using the 'tidymodels' framework, which provides a standardised interface to define models and process their outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects, as well as a number of specialised functions to process presences and pseudoabsences for contemporary and palaeo datasets. The full functionalities of the package are described in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.
Author: Michela Leonardi [aut], Margherita Colucci [aut], Andrea Manica [aut, cre]
Maintainer: Andrea Manica <am315@cam.ac.uk>

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Package deeptime updated to version 1.1.0 with previous version 1.0.1 dated 2023-02-16

Title: Plotting Tools for Anyone Working in Deep Time
Description: Extends the functionality of other plotting packages like 'ggplot2' and 'lattice' to help facilitate the plotting of data over long time intervals, including, but not limited to, geological, evolutionary, and ecological data. The primary goal of 'deeptime' is to enable users to add highly customizable timescales to their visualizations. Other functions are also included to assist with other areas of deep time visualization.
Author: William Gearty [aut, cre]
Maintainer: William Gearty <willgearty@gmail.com>

Diff between deeptime versions 1.0.1 dated 2023-02-16 and 1.1.0 dated 2024-03-05

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Package PatientProfiles updated to version 0.6.2 with previous version 0.6.1 dated 2024-02-21

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

Diff between PatientProfiles versions 0.6.1 dated 2024-02-21 and 0.6.2 dated 2024-03-05

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Package rmarkdown updated to version 2.26 with previous version 2.25 dated 2023-09-18

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] , Andrew Dun [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package PSAgraphics updated to version 2.1.3 with previous version 2.1.2 dated 2023-03-21

Title: Propensity Score Analysis Graphics
Description: A collection of functions that primarily produce graphics to aid in a Propensity Score Analysis (PSA). Functions include: cat.psa and box.psa to test balance within strata of categorical and quantitative covariates, circ.psa for a representation of the estimated effect size by stratum, loess.psa that provides a graphic and loess based effect size estimate, and various balance functions that provide measures of the balance achieved via a PSA in a categorical covariate.
Author: James Helmreich [aut], Robert Pruzek [aut], Jason Bryer [ctb, cre] , KuangNan Xiong [ctb]
Maintainer: Jason Bryer <jason@bryer.org>

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Package paws.common updated to version 0.7.1 with previous version 0.7.0 dated 2024-01-09

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package ebirdst updated to version 3.2022.3 with previous version 3.2022.2 dated 2024-02-23

Title: Access and Analyze eBird Status and Trends Data Products
Description: Tools for accessing and analyzing eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird distributions, abundances, and population trends at a high spatial and temporal resolution.
Author: Matthew Strimas-Mackey [aut, cre] , Shawn Ligocki [aut], Tom Auer [aut] , Daniel Fink [aut] , Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package constructive updated to version 0.3.0 with previous version 0.2.0 dated 2023-11-13

Title: Display Idiomatic Code to Construct Most R Objects
Description: Prints code that can be used to recreate R objects. In a sense it is similar to 'base::dput()' or 'base::deparse()' but 'constructive' strives to use idiomatic constructors.
Author: Antoine Fabri [aut, cre], Kirill Mueller [ctb]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>

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Package admiral updated to version 1.0.2 with previous version 1.0.1 dated 2024-02-01

Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).
Author: Ben Straub [aut, cre], Stefan Bundfuss [aut], Jeffrey Dickinson [aut], Ross Farrugia [aut], Adam Forys [aut], G Gayatri [aut], Daphne Grasselly [aut], Dinakar Kulkarni [aut], Edoardo Mancini [aut], Sadchla Mascary [aut], Gordon Miller [aut], Sophie S [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>

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Package TNRS updated to version 0.3.5 with previous version 0.3.4 dated 2023-06-13

Title: Taxonomic Name Resolution Service
Description: Provides access to the Taxonomic Name Resolution Service <https://github.com/ojalaquellueva/tnrsapi> through R. The user supplies plant taxonomic names and the package returns resolved taxonomic names along with information on decisions. Optionally, the package can also be used to parse taxonomic names.
Author: Brian Maitner [aut, cre] , Brad Boyle [aut], Paul Efren [ctb]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between TNRS versions 0.3.4 dated 2023-06-13 and 0.3.5 dated 2024-03-05

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Package tidycensus updated to version 1.6.2 with previous version 1.6 dated 2024-01-25

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 1.6 dated 2024-01-25 and 1.6.2 dated 2024-03-05

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Package starter updated to version 0.1.15 with previous version 0.1.14 dated 2023-06-07

Title: Starter Kit for New Projects
Description: Get started with new projects by dropping a skeleton of a new project into a new or existing directory, initialise git repositories, and create reproducible environments with the 'renv' package. The package allows for dynamically named files, folders, file content, as well as the functionality to drop individual template files into existing projects.
Author: Daniel D. Sjoberg [aut, cre] , Emily Vertosick [ctb]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package rstan updated to version 2.32.6 with previous version 2.32.5 dated 2024-01-10

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Andrew Johnson [aut], Sebastian Weber [aut], Hamada S. Badr [aut] , Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Modrak Martin [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cp [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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New package Rquake with initial version 2.5-1
Package: Rquake
Title: Seismic Hypocenter Determination
Version: 2.5-1
Date: 2024-02-22
Depends: R (>= 3.5.0)
Imports: RPMG, RSEIS, GEOmap, MBA, minpack.lm
Author: Jonathan M. Lees [aut, cre], Baptiste Auguie [ctb]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>
Description: Non-linear inversion for hypocenter estimation and analysis of seismic data collected continuously, or in trigger mode. The functions organize other functions from 'RSEIS' and 'GEOmap' to help researchers pick, locate, and store hypocenters for detailed seismic investigation. Error ellipsoids and station influence are estimated via jackknife analysis. References include Iversen, E. S., and J. M. Lees (1996)<doi:10.1785/BSSA0860061853>.
License: GPL (>= 2)
Packaged: 2024-03-05 15:19:18 UTC; lees
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-03-05 17:00:24 UTC

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Package monitOS updated to version 0.1.4 with previous version 0.1.3 dated 2023-10-31

Title: Monitoring Overall Survival in Pivotal Trials in Indolent Cancers
Description: These guidelines are meant to provide a pragmatic, yet rigorous, help to drug developers and decision makers, since they are shaped by three fundamental ingredients: the clinically determined margin of detriment on OS that is unacceptably high (delta null); the benefit on OS that is plausible given the mechanism of action of the novel intervention (delta alt); and the quantity of information (i.e. survival events) it is feasible to accrue given the clinical and drug development setting. The proposed guidelines facilitate transparent discussions between stakeholders focusing on the risks of erroneous decisions and what might be an acceptable trade-off between power and the false positive error rate.
Author: Thomas Fleming [ctb], Lisa Hampson [aut], Bharani Bharani-Dharan [ctb], Frank Bretz [ctb], Arunava Chakravartty [ctb], Thibaud Coroller [aut, cre], Evanthia Koukouli [aut], Janet Wittes [ctb], Nigel Yateman [ctb], Emmanuel Zuber [ctb], Novartis Pharm [...truncated...]
Maintainer: Thibaud Coroller <thibaud.coroller@novartis.com>

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Package miselect updated to version 0.9.2 with previous version 0.9.0 dated 2020-03-31

Title: Variable Selection for Multiply Imputed Data
Description: Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is desired. However, missing data complicates the implementation of these methods, particularly when missingness is handled using multiple imputation. Applying a variable selection algorithm on each imputed dataset will likely lead to different sets of selected predictors, making it difficult to ascertain a final active set without resorting to ad hoc combination rules. 'miselect' presents Stacked Adaptive Elastic Net (saenet) and Grouped Adaptive LASSO (galasso) for continuous and binary outcomes, developed by Du et al (2022) <doi:10.1080/10618600.2022.2035739>. They, by construction, force selection of the same variables across multiply imputed data. 'miselect' also provides cross validated variants of these methods.
Author: Michael Kleinsasser [cre], Alexander Rix [aut], Jiacong Du [aut]
Maintainer: Michael Kleinsasser <biostat-cran-manager@umich.edu>

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Package MAPA updated to version 2.0.7 with previous version 2.0.6 dated 2023-11-16

Title: Multiple Aggregation Prediction Algorithm
Description: Functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure. For details see Kourentzes et al. (2014) <doi:10.1016/j.ijforecast.2013.09.006>.
Author: Nikolaos Kourentzes [aut, cre], Fotios Petropoulos [aut]
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>

Diff between MAPA versions 2.0.6 dated 2023-11-16 and 2.0.7 dated 2024-03-05

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Package logger updated to version 0.3.0 with previous version 0.2.2 dated 2021-10-19

Title: A Lightweight, Modern and Flexible Logging Utility
Description: Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Author: Gergely Daroczi [aut, cre] , System1 [fnd]
Maintainer: Gergely Daroczi <daroczig@rapporter.net>

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Package lidR updated to version 4.1.1 with previous version 4.1.0 dated 2024-02-01

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Permanent link

Package geomorph updated to version 4.0.7 with previous version 4.0.6 dated 2023-08-31

Title: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 4.0.6 dated 2023-08-31 and 4.0.7 dated 2024-03-05

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Package common updated to version 1.1.2 with previous version 1.1.1 dated 2023-12-19

Title: Solutions for Common Problems in Base R
Description: Contains functions for solving commonly encountered problems while programming in R. This package is intended to provide a lightweight supplement to Base R, and will be useful for almost any R user.
Author: David Bosak [aut, cre], Duong Tran [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between common versions 1.1.1 dated 2023-12-19 and 1.1.2 dated 2024-03-05

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More information about common at CRAN
Permanent link

Package UniprotR updated to version 2.4.0 with previous version 2.3.0 dated 2023-08-27

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package PLNmodels updated to version 1.2.0 with previous version 1.1.0 dated 2024-01-08

Title: Poisson Lognormal Models
Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 <doi:10.3389/fevo.2021.588292>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
Author: Julien Chiquet [aut, cre] , Mahendra Mariadassou [aut] , Stephane Robin [aut], Francois Gindraud [aut], Julie Aubert [ctb], Bastien Batardiere [ctb], Giovanni Poggiato [ctb], Cole Trapnell [ctb], Maddy Duran [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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Package CFO updated to version 1.1.0 with previous version 1.0.0 dated 2024-02-26

Title: CFO-Type Designs in Phase I Clinical Trials
Description: In phase I clinical trials, the primary objective is to ascertain the maximum tolerated dose (MTD) corresponding to a specified target toxicity rate. The 'CFO' package facilitates the implementation of dose-finding trials by utilizing calibration-free odds type (CFO-type) designs. Specifically, it encompasses the calibration-free odds (CFO) (Jin and Yin (2022) <doi:10.1177/09622802221079353>), two-dimensional CFO (2dCFO) (Wang et al. (2023) <doi:10.3389/fonc.2023.1294258>), time-to-event CFO (TITE-CFO) (Jin and Yin (2023) <doi:10.1002/pst.2304>), fractional CFO (fCFO), accumulative CFO (aCFO), TITE-aCFO, and f-aCFO designs. The ‘CFO' package accommodates diverse CFO-type designs, allowing users to tailor the approach based on factors such as dose information inclusion, handling of late-onset toxicity, and the nature of the target drug (single-drug or drug-combination). The functionalities embedded in 'CFO' package include the determination of the dose level for the ne [...truncated...]
Author: Jialu Fang [aut, cre], Wenliang Wang [aut], Guosheng Yin [aut]
Maintainer: Jialu Fang <u3008682@connect.hku.hk>

Diff between CFO versions 1.0.0 dated 2024-02-26 and 1.1.0 dated 2024-03-05

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Package atrrr updated to version 0.0.3 with previous version 0.0.2 dated 2024-01-10

Title: Wrapper for the 'AT' Protocol Behind 'Bluesky'
Description: Wraps the 'AT' Protocol (Authenticated Transfer Protocol) behind 'Bluesky' <https://bsky.social>. Functions can be used for, among others, retrieving posts and followers from the network or posting content.
Author: Johannes B. Gruber [aut, cre] , Benjamin Guinaudeau [aut, ctb] , Fabio Votta [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

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Package SARP.compo updated to version 0.1.8 with previous version 0.1.5 dated 2021-05-15

Title: Network-Based Interpretation of Changes in Compositional Data
Description: Provides a set of functions to interpret changes in compositional data based on a network representation of all pairwise ratio comparisons: computation of all pairwise ratio, construction of a p-value matrix of all pairwise tests of these ratios between conditions, conversion of this matrix to a network.
Author: Emmanuel Curis [aut, cre]
Maintainer: Emmanuel Curis <emmanuel.curis@parisdescartes.fr>

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Package rgl updated to version 1.3.1 with previous version 1.2.8 dated 2023-11-28

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Duncan Murdoch [aut, cre], Daniel Adler [aut], Oleg Nenadic [ctb], Simon Urbanek [ctb], Ming Chen [ctb], Albrecht Gebhardt [ctb], Ben Bolker [ctb], Gabor Csardi [ctb], Adam Strzelecki [ctb], Alexander Senger [ctb], The R Core Team [ctb, cph], Dirk Ed [...truncated...]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package qris updated to version 1.1.1 with previous version 1.0.0 dated 2022-08-29

Title: Quantile Regression Model for Residual Lifetime Using an Induced Smoothing Approach
Description: A collection of functions is provided by this package to fit quantiles regression models for censored residual lifetimes. It provides various options for regression parameters estimation: the induced smoothing approach (smooth), and L1-minimization (non-smooth). It also implements the estimation methods for standard errors of the regression parameters estimates based on an efficient partial multiplier bootstrap method and robust sandwich estimator. Furthermore, a simultaneous procedure of estimating regression parameters and their standard errors via an iterative updating procedure is implemented (iterative). For more details, see Kim, K. H., Caplan, D. J., & Kang, S. (2022), "Smoothed quantile regression for censored residual life", Computational Statistics, 1-22 <doi:10.1007/s00180-022-01262-z>.
Author: Kyu Hyun Kim [aut, cre], Sangwook Kang [aut], Sy Han Chiou [aut]
Maintainer: Kyu Hyun Kim <kyuhyunkim07@gmail.com>

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Package minSNPs updated to version 0.2.0 with previous version 0.1.0 dated 2023-08-08

Title: Resolution-Optimised SNPs Searcher
Description: This is a R implementation of "Minimum SNPs" software as described in "Price E.P., Inman-Bamber, J., Thiruvenkataswamy, V., Huygens, F and Giffard, P.M." (2007) <doi:10.1186/1471-2105-8-278> "Computer-aided identification of polymorphism sets diagnostic for groups of bacterial and viral genetic variants."
Author: Ludwig Kian Soon Hoon [aut, cre] , Peter Shaw [aut, ctb] , Phil Giffard [aut, ctb]
Maintainer: Ludwig Kian Soon Hoon <ldwgkshoon@gmail.com>

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Package mlr3 updated to version 0.18.0 with previous version 0.17.2 dated 2024-01-09

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [c [...truncated...]
Maintainer: Michel Lang <michellang@gmail.com>

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Package saemix updated to version 3.3 with previous version 3.2 dated 2023-06-27

Title: Stochastic Approximation Expectation Maximization (SAEM) Algorithm
Description: The 'saemix' package implements the Stochastic Approximation EM algorithm for parameter estimation in (non)linear mixed effects models. The SAEM algorithm (i) computes the maximum likelihood estimator of the population parameters, without any approximation of the model (linearisation, quadrature approximation,...), using the Stochastic Approximation Expectation Maximization (SAEM) algorithm, (ii) provides standard errors for the maximum likelihood estimator (iii) estimates the conditional modes, the conditional means and the conditional standard deviations of the individual parameters, using the Hastings-Metropolis algorithm (see Comets et al. (2017) <doi:10.18637/jss.v080.i03>). Many applications of SAEM in agronomy, animal breeding and PKPD analysis have been published by members of the Monolix group. The full PDF documentation for the package including references about the algorithm and examples can be downloaded on the github of the IAME research institute for 'saemix': <h [...truncated...]
Author: Emmanuelle Comets [aut, cre], Audrey Lavenu [aut], Marc Lavielle [aut], Belhal Karimi [aut], Maud Delattre [ctb], Marilou Chanel [ctb], Johannes Ranke [ctb] , Sofia Kaisaridi [ctb], Lucie Fayette [ctb]
Maintainer: Emmanuelle Comets <emmanuelle.comets@inserm.fr>

Diff between saemix versions 3.2 dated 2023-06-27 and 3.3 dated 2024-03-05

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Package OBIC updated to version 3.0.2 with previous version 3.0.1 dated 2023-12-12

Title: Calculate the Open Bodem Index (OBI) Score
Description: The Open Bodem Index (OBI) is a method to evaluate the quality of soils of agricultural fields in The Netherlands and the sustainability of the current agricultural practices. The OBI score is based on four main criteria: chemical, physical, biological and management, which consist of more than 21 indicators. By providing results of a soil analysis and management info the 'OBIC' package can be use to calculate he scores, indicators and derivatives that are used by the OBI. More information about the Open Bodem Index can be found at <https://openbodemindex.nl/>.
Author: Sven Verweij [aut, cre] , Gerard Ros [aut] , Yuki Fujita [aut] , Wilbrand Hendrik Riechelman [aut] , Kees van den Dool [aut] , Job de Pater [ctb], Nutrienten Managment Instituut [cph]
Maintainer: Sven Verweij <sven.verweij@nmi-agro.nl>

Diff between OBIC versions 3.0.1 dated 2023-12-12 and 3.0.2 dated 2024-03-05

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Package mlr3viz updated to version 0.8.0 with previous version 0.7.0 dated 2023-12-21

Title: Visualizations for 'mlr3'
Description: Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the 'autoplot()' generic of 'ggplot2'. The package draws plots with the 'viridis' color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut] , Raphael Sonabend [aut] , Marc Becker [aut] , Jakob Richter [aut] , Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3viz versions 0.7.0 dated 2023-12-21 and 0.8.0 dated 2024-03-05

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Package MissMech updated to version 1.0.4 with previous version 1.0.3 dated 2024-01-23

Title: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
Description: To test whether the missing data mechanism, in a set of incompletely observed data, is one of missing completely at random (MCAR). For detailed description see Jamshidian, M. Jalal, S., and Jansen, C. (2014). "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)", Journal of Statistical Software, 56(6), 1-31. <https://www.jstatsoft.org/v56/i06/> <doi:10.18637/jss.v056.i06>.
Author: Mortaza Jamshidian [aut], Siavash Jalal [aut], Camden Jansen [aut], Mao Kobayashi [cre]
Maintainer: Mao Kobayashi <kobamao.jp@gmail.com>

Diff between MissMech versions 1.0.3 dated 2024-01-23 and 1.0.4 dated 2024-03-05

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Package lava updated to version 1.8.0 with previous version 1.7.3 dated 2023-11-04

Title: Latent Variable Models
Description: A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Author: Klaus K. Holst [aut, cre], Brice Ozenne [ctb], Thomas Gerds [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

Diff between lava versions 1.7.3 dated 2023-11-04 and 1.8.0 dated 2024-03-05

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New package opinAr with initial version 1.0.0
Package: opinAr
Title: Argentina's Public Opinion Toolbox
Version: 1.0.0
Description: A toolbox for working with public opinion data from Argentina. It facilitates access to microdata and the calculation of indicators of the Trust in Government Index (ICG), prepared by the Torcuato Di Tella University. Although we will try to document everything possible in English, by its very nature Spanish will be the main language. El paquete fue pensado como una caja de herramientas para el trabajo con datos de opinión pública de Argentina. El mismo facilita el acceso a los microdatos y el cálculos de indicadores del Índice de Confianza en el Gobierno (ICG), elaborado por la Universidad Torcuato Di Tella.
License: MIT + file LICENSE
URL: https://github.com/PoliticaArgentina/opinAr
BugReports: https://github.com/PoliticaArgentina/opinAr/issues
Encoding: UTF-8
Imports: haven, janitor, rvest, glue, dplyr, purrr, stringr, magrittr, assertthat, rlang, sjPlot, gt, lubridate
Depends: R (>= 3.6)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-02 22:53:49 UTC; UsuarioFundar
Author: Camila Higa [aut, cph], Juan Pablo Ruiz Nicolini [aut, cph, cre]
Maintainer: Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:10:02 UTC

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Package LSX updated to version 1.4.0 with previous version 1.3.2 dated 2023-12-20

Title: Semi-Supervised Algorithm for Document Scaling
Description: A word embeddings-based semi-supervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between LSX versions 1.3.2 dated 2023-12-20 and 1.4.0 dated 2024-03-05

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New package KOR.addrlink with initial version 1.0.1
Package: KOR.addrlink
Title: Matching Address Data to Reference Index
Version: 1.0.1
Date: 2024-03-02
Author: Daniel Schuermann [aut, cre]
Maintainer: Daniel Schuermann <d.schuermann@2718282.net>
Depends: R (>= 3.4)
Imports: stringdist, stringi
LazyData: true
Description: Matches a data set with semi-structured address data, e.g., street and house number as a concatenated string, wrongly spelled street names or non-existing house numbers to a reference index. The methods are specifically designed for German municipalities ('KOR'-community) and German address schemes.
License: GPL-3
Encoding: UTF-8
URL: https://git-kor.stadtdo.de
BugReports: https://git-kor.stadtdo.de/stadt-dortmund/adressdaten/-/issues
NeedsCompilation: no
Packaged: 2024-03-02 14:22:21 UTC; scd01
Repository: CRAN
Date/Publication: 2024-03-05 11:10:13 UTC

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New package heterometa with initial version 0.2
Package: heterometa
Title: Convert Various Meta-Analysis Heterogeneity Measures
Version: 0.2
Date: 2024-02-28
Description: Published meta-analyses routinely present one of the measures of heterogeneity introduced in Higgins and Thompson (2002) <doi:10.1002/sim.1186>. For critiquing articles it is often better to convert to another measure. Some conversions are provided here and confidence intervals are also available.
Depends: R (>= 3.5.0)
Imports: Rdpack (>= 0.7),mathjaxr (>= 0.8-3)
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-03-03 11:59:51 UTC; MichaelUser
Author: Michael Dewey [aut, cre]
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>
Repository: CRAN
Date/Publication: 2024-03-05 11:10:05 UTC

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New package ConsensusClustering with initial version 1.2.0
Package: ConsensusClustering
Title: Consensus Clustering
Version: 1.2.0
Description: Clustering, or cluster analysis, is a widely used technique in bioinformatics to identify groups of similar biological data points. Consensus clustering is an extension to clustering algorithms that aims to construct a robust result from those clustering features that are invariant under different sources of variation. For the reference, please cite the following paper: Yousefi, Melograna, et. al., (2023) <doi:10.3389/fmicb.2023.1170391>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: assertthat, dplyr, igraph, cluster, mvtnorm, utils, graphics, stats
NeedsCompilation: no
Packaged: 2024-03-03 16:29:19 UTC; behnam
Author: Behnam Yousefi [aut, cre, cph]
Maintainer: Behnam Yousefi <yousefi.bme@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:20:03 UTC

More information about ConsensusClustering at CRAN
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New package cheapr with initial version 0.1.0
Package: cheapr
Title: Simple Functions to Save Time and Memory
Version: 0.1.0
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: collapse (>= 2.0.0)
Suggests: bench, testthat (>= 3.0.0), vctrs
LinkingTo: cpp11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-03-02 14:59:38 UTC; Nmc5
Author: Nick Christofides [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-05 11:10:06 UTC

More information about cheapr at CRAN
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New package arcgis with initial version 0.1.0
Package: arcgis
Title: ArcGIS Location Services Meta-Package
Version: 0.1.0
Description: Provides easy installation and loading of core ArcGIS location services packages 'arcgislayers' and 'arcgisutils'. Enabling developers to interact with spatial data and services from 'ArcGIS Online', 'ArcGIS Enterprise', and 'ArcGIS Platform'. Learn more about the 'arcgis' meta-package at <https://r.esri.com/r-bridge-site/>.
Language: en
License: Apache License (>= 2)
Encoding: UTF-8
Imports: arcgislayers (>= 0.2.0), arcgisutils (>= 0.2.0), cli, httr2 (>= 1.0.0), utils
Suggests: arcpbf, testthat (>= 3.0.0)
URL: https://github.com/R-ArcGIS/arcgis/, https://r.esri.com/arcgis/
NeedsCompilation: no
Packaged: 2024-03-02 17:52:05 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:10:10 UTC

More information about arcgis at CRAN
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New package tidyfinance with initial version 0.1.0
Package: tidyfinance
Title: Tidy Finance Helper Functions
Version: 0.1.0
Description: Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/r/index.html>.
License: MIT + file LICENSE
URL: https://www.tidy-finance.org/r/, https://github.com/tidy-finance/r-tidyfinance
BugReports: https://github.com/tidy-finance/r-tidyfinance/issues
Depends: R (>= 4.1)
Imports: dplyr (>= 1.1.4), rlang (>= 1.1.3), tidyr (>= 1.3.0), purrr (>= 1.0.2), lubridate (>= 1.9.3), tibble (>= 3.2.1), lifecycle
Suggests: frenchdata (>= 0.2.0), readxl (>= 1.4.2), RPostgres (>= 1.4.5), dbplyr (>= 2.3.2), DBI (>= 1.1.0), testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-01 20:17:12 UTC; krise
Author: Christoph Scheuch [aut, cre] , Stefan Voigt [aut] , Patrick Weiss [aut]
Maintainer: Christoph Scheuch <christoph.scheuch@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 10:40:02 UTC

More information about tidyfinance at CRAN
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New package teal.modules.general with initial version 0.3.0
Package: teal.modules.general
Title: General Modules for 'teal' Applications
Version: 0.3.0
Date: 2024-03-01
Description: Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
License: Apache License 2.0
URL: https://insightsengineering.github.io/teal.modules.general/, https://github.com/insightsengineering/teal.modules.general/
BugReports: https://github.com/insightsengineering/teal.modules.general/issues
Depends: ggmosaic (>= 0.3.0), ggplot2 (>= 3.4.0), R (>= 3.6), shiny (>= 1.6.0), teal (>= 0.15.1), teal.transform (>= 0.5.0)
Imports: checkmate (>= 2.1.0), dplyr (>= 1.0.5), DT (>= 0.13), forcats (>= 1.0.0), grid, logger (>= 0.2.0), scales, shinyjs, shinyTree (>= 0.2.8), shinyvalidate, shinyWidgets (>= 0.5.1), stats, stringr (>= 1.4.1), teal.code (>= 0.5.0), teal.data (>= 0.5.0), teal.logger (>= 0.1.1), teal.reporter (>= 0.3.0), teal.widgets (>= 0.4.0), tern (>= 0.9.3), tibble (>= 2.0.0), tidyr (>= 0.8.3), tools, utils
Suggests: broom (>= 0.7.10), colourpicker, ggExtra, ggpmisc (>= 0.4.3), ggpp, ggrepel, goftest, gridExtra, htmlwidgets, jsonlite, knitr (>= 1.42), lattice (>= 0.18-4), MASS, nestcolor (>= 0.1.0), rlang (>= 1.0.0), rtables (>= 0.6.6), sparkline, testthat (>= 3.0.4)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-01 20:47:00 UTC; unardid
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Ondrej Slama [ctb], Maciej Nasinski [aut], Konrad Pagacz [aut], Nikolas Burkoff [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>
Repository: CRAN
Date/Publication: 2024-03-05 10:50:02 UTC

More information about teal.modules.general at CRAN
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New package rcpptimer with initial version 1.0.0
Package: rcpptimer
Title: 'Rcpp' Tic-Toc Timer with 'OpenMP' Support
Version: 1.0.0
Date: 2024-02-29
Description: Provides 'Rcpp' bindings for 'cpptimer', a simple tic-toc timer class for benchmarking 'C++' code <https://github.com/BerriJ/cpptimer>. It's not just simple, it's blazing fast! This sleek tic-toc timer class supports overlapping timers as well as 'OpenMP' parallelism <https://www.openmp.org/>. It boasts a microsecond-level time resolution. We did not find any overhead of the timer itself at this resolution. Results (with summary statistics) are automatically passed back to 'R' as a data frame.
URL: https://rcpptimer.berrisch.biz
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
Language: en-US
NeedsCompilation: yes
Packaged: 2024-03-01 20:00:04 UTC; vscode
Author: Jonathan Berrisch [aut, cre]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>
Repository: CRAN
Date/Publication: 2024-03-05 10:40:06 UTC

More information about rcpptimer at CRAN
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New package quollr with initial version 0.1.1
Package: quollr
Title: Visualising How Nonlinear Dimension Reduction Warps Your Data
Version: 0.1.1
Description: To construct a model in 2D space from 2D embedding data and then lift it to the high-dimensional space. Additionally, it provides tools to visualize the model in 2D space and to overlay the fitted model on data using the tour technique. Furthermore, it facilitates the generation of summaries of high-dimensional distributions.
License: MIT + file LICENSE
URL: https://github.com/JayaniLakshika/quollr
BugReports: https://github.com/JayaniLakshika/quollr/issues
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, grid, interp (>= 1.1-6), langevitour, proxy, rlang, rsample, stats, tibble, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, umap
VignetteBuilder: knitr
Language: en-GB
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-02 00:11:03 UTC; jpiy0001
Author: Jayani P.G. Lakshika [aut, cre] , Dianne Cook [aut] , Paul Harrison [aut] , Michael Lydeamore [aut] , Thiyanga S. Talagala [aut]
Maintainer: Jayani P.G. Lakshika <jayanilakshika76@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:00:02 UTC

More information about quollr at CRAN
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New package pldamixture with initial version 0.1.0
Package: pldamixture
Title: Post-Linkage Data Analysis Based on Mixture Modelling
Version: 0.1.0
Depends: R (>= 3.5.0)
Imports: stats, survival
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. (2023) <arXiv:2306.00909>. 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 of match [...truncated...]
License: GPL-2
LazyData: true
Encoding: UTF-8
Maintainer: Priyanjali Bukke <pbukke@gmu.edu>
URL: https://github.com/bpriy/pldamixture
NeedsCompilation: no
Packaged: 2024-03-01 19:15:06 UTC; Sono
Author: Priyanjali Bukke [aut, cre], Zhenbang Wang [aut], Martin Slawski [aut] , Brady T. West [aut], Emanuel Ben-David [aut], Guoqing Diao [aut]
Repository: CRAN
Date/Publication: 2024-03-05 10:30:02 UTC

More information about pldamixture at CRAN
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Package naniar updated to version 1.1.0 with previous version 1.0.0 dated 2023-02-02

Title: Data Structures, Summaries, and Visualisations for Missing Data
Description: Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data. The work is fully discussed at Tierney & Cook (2023) <doi:10.18637/jss.v105.i07>.
Author: Nicholas Tierney [aut, cre] , Di Cook [aut] , Miles McBain [aut] , Colin Fay [aut] , Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb], Andrew Heiss [ctb]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

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 naniar-1.1.0/naniar/NEWS.md                                                                         |   30 
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 naniar-1.1.0/naniar/R/naniar-package.R                                                              |    6 
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 naniar-1.1.0/naniar/R/shadows.R                                                                     |   26 
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New package DiscreteDatasets with initial version 0.1.0
Package: DiscreteDatasets
Title: Example Data Sets for Use with Discrete Statistical Tests
Version: 0.1.0
Date: 2024-03-01
Maintainer: Florian Junge <diso.fbmn@h-da.de>
Description: Provides several data sets for use with discrete statistical tests and discrete multiple testing procedures. Some of them are also available as a four-column version, so that each row represents a 2x2 table.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: checkmate
URL: https://github.com/DISOhda/DiscreteDatasets
BugReports: https://github.com/DISOhda/DiscreteDatasets/issues
NeedsCompilation: no
Packaged: 2024-03-01 20:46:56 UTC; Florian
Author: Christina Kihn [aut], Sebastian Doehler [aut], Florian Junge [cre, aut]
Repository: CRAN
Date/Publication: 2024-03-05 10:50:06 UTC

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New package boostrq with initial version 1.0.0
Package: boostrq
Title: Boosting Regression Quantiles
Version: 1.0.0
Description: Boosting Regression Quantiles is a component-wise boosting algorithm, that embeds all boosting steps in the well-established framework of quantile regression. It is initialized with the corresponding quantile, uses a quantile-specific learning rate, and uses quantile regression as its base learner. The package implements this algorithm and allows cross-validation and stability selection.
License: GPL (>= 2)
URL: https://github.com/stefanlinner/boostrq
BugReports: https://github.com/stefanlinner/boostrq/issues
Encoding: UTF-8
Depends: mboost, stabs, stats, parallel
Imports: quantreg, checkmate
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-03-02 08:53:32 UTC; stefa
Author: Stefan Linner [aut, cre, cph]
Maintainer: Stefan Linner <stefan.linner97@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-05 11:00:06 UTC

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New package BElikelihood with initial version 1.1
Package: BElikelihood
Title: Likelihood Method for Evaluating Bioequivalence
Version: 1.1
Date: 2024-02-29
Maintainer: Liping Du <liping.du@vumc.org>
Description: A likelihood method is implemented to present evidence for evaluating bioequivalence (BE). The functions use bioequivalence data [area under the blood concentration-time curve (AUC) and peak concentration (Cmax)] from various crossover designs commonly used in BE studies including a fully replicated, a partially replicated design, and a conventional 2x2 crossover design. They will calculate the profile likelihoods for the mean difference, total standard deviation ratio, and within subject standard deviation ratio for a test and a reference drug. A plot of a standardized profile likelihood can be generated along with the maximum likelihood estimate and likelihood intervals, which present evidence for bioequivalence. See Liping Du and Leena Choi (2015) <doi:10.1002/pst.1661>.
License: GPL (>= 3)
Imports: ggplot2, mvtnorm
Suggests: knitr, nlme, rmarkdown
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-01 00:46:33 UTC; beckca
Author: Liping Du [aut, cre] , Leena Choi [aut] , Cole Beck [aut]
Repository: CRAN
Date/Publication: 2024-03-05 10:30:05 UTC

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Package copulaData updated to version 0.0-2 with previous version 0.0-1 dated 2017-10-16

Title: Data Sets for Copula Modeling
Description: Data sets used for copula modeling in addition to those in the R package 'copula'. These include a random subsample from the US National Education Longitudinal Study (NELS) of 1988 and nursing home data from Wisconsin.
Author: Marius Hofert [aut, cre], Ivan Kojadinovic [aut], Martin Maechler [aut], Jun Yan [aut], Edward W. Frees [dtc]
Maintainer: Marius Hofert <mhofert@hku.hk>

Diff between copulaData versions 0.0-1 dated 2017-10-16 and 0.0-2 dated 2024-03-05

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Package mmrm updated to version 0.3.11 with previous version 0.3.10 dated 2024-01-26

Title: Mixed Models for Repeated Measures
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E> for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) <doi:10.1177/009286150804200402> for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.
Author: Daniel Sabanes Bove [aut, cre], Liming Li [aut], Julia Dedic [aut], Doug Kelkhoff [aut], Kevin Kunzmann [aut], Brian Matthew Lang [aut], Christian Stock [aut], Ya Wang [aut], Craig Gower-Page [ctb], Dan James [aut], Jonathan Sidi [aut], Daniel Leibov [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@roche.com>

Diff between mmrm versions 0.3.10 dated 2024-01-26 and 0.3.11 dated 2024-03-05

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Package mappoly (with last version 0.4.0) was removed from CRAN

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

2024-02-17 0.4.0
2023-01-05 0.3.3
2022-12-02 0.3.2
2022-07-06 0.3.1
2022-01-11 0.3.0
2021-04-20 0.2.3
2020-11-23 0.2.1

Permanent link
Package fmdu (with last version 0.1.0) was removed from CRAN

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

2024-02-16 0.1.0

Permanent link
Package spelling updated to version 2.3.0 with previous version 2.2.1 dated 2023-03-22

Title: Tools for Spell Checking in R
Description: Spell checking common document formats including latex, markdown, manual pages, and description files. Includes utilities to automate checking of documentation and vignettes as a unit test during 'R CMD check'. Both British and American English are supported out of the box and other languages can be added. In addition, packages may define a 'wordlist' to allow custom terminology without having to abuse punctuation.
Author: Jeroen Ooms [cre, aut] , Jim Hester [aut]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package pedgene updated to version 3.8 with previous version 3.6 dated 2022-10-18

Title: Gene-Level Variant Association Tests for Pedigree Data
Description: Gene-level variant association tests with disease status for pedigree data: kernel and burden association statistics.
Author: Schaid Daniel [aut], Visconti Alessia [ctb], Jason Sinnwell [aut, cre]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

Diff between pedgene versions 3.6 dated 2022-10-18 and 3.8 dated 2024-03-05

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Package mlr3tuningspaces updated to version 0.5.0 with previous version 0.4.0 dated 2023-04-20

Title: Search Spaces for 'mlr3'
Description: Collection of search spaces for hyperparameter optimization in the 'mlr3' ecosystem. It features ready-to-use search spaces for many popular machine learning algorithms. The search spaces are from scientific articles and work for a wide range of data sets.
Author: Marc Becker [cre, aut] , Michel Lang [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuningspaces versions 0.4.0 dated 2023-04-20 and 0.5.0 dated 2024-03-05

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Package mlr3tuning updated to version 0.20.0 with previous version 0.19.2 dated 2023-11-28

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

Diff between mlr3tuning versions 0.19.2 dated 2023-11-28 and 0.20.0 dated 2024-03-05

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Package mlr3hyperband updated to version 0.5.0 with previous version 0.4.5 dated 2023-03-02

Title: Hyperband for 'mlr3'
Description: Successive Halving (Jamieson and Talwalkar (2016) <arXiv:1502.07943>) and Hyperband (Li et al. 2018 <arXiv:1603.06560>) optimization algorithm for the mlr3 ecosystem. The implementation in mlr3hyperband features improved scheduling and parallelizes the evaluation of configurations. The package includes tuners for hyperparameter optimization in mlr3tuning and optimizers for black-box optimization in bbotk.
Author: Marc Becker [aut, cre] , Sebastian Gruber [aut] , Jakob Richter [aut] , Julia Moosbauer [aut] , Bernd Bischl [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3hyperband versions 0.4.5 dated 2023-03-02 and 0.5.0 dated 2024-03-05

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Package ggdist updated to version 3.3.2 with previous version 3.3.1 dated 2023-11-27

Title: Visualizations of Distributions and Uncertainty
Description: Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) <https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html>, density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>, quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>, complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>, and fit curves with multiple uncertainty ri [...truncated...]
Author: Matthew Kay [aut, cre], Brenton M. Wiernik [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>

Diff between ggdist versions 3.3.1 dated 2023-11-27 and 3.3.2 dated 2024-03-05

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 ggdist-3.3.2/ggdist/DESCRIPTION                                                                                  |   45 
 ggdist-3.3.2/ggdist/MD5                                                                                          |  496 +++++----
 ggdist-3.3.2/ggdist/NAMESPACE                                                                                    |   68 -
 ggdist-3.3.2/ggdist/NEWS.md                                                                                      |   59 +
 ggdist-3.3.2/ggdist/R/abstract_geom.R                                                                            |   30 
 ggdist-3.3.2/ggdist/R/abstract_stat.R                                                                            |   22 
 ggdist-3.3.2/ggdist/R/abstract_stat_slabinterval.R                                                               |   22 
 ggdist-3.3.2/ggdist/R/auto_partial.R                                                                             |  109 +-
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 ggdist-3.3.2/ggdist/R/bounder.R                                                                                  |   51 -
 ggdist-3.3.2/ggdist/R/compat.R                                                                                   |only
 ggdist-3.3.2/ggdist/R/curve_interval.R                                                                           |   72 -
 ggdist-3.3.2/ggdist/R/cut_cdf_qi.R                                                                               |    2 
 ggdist-3.3.2/ggdist/R/density.R                                                                                  |  110 +-
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 ggdist-3.3.2/ggdist/R/draw_key_slabinterval.R                                                                    |   48 
 ggdist-3.3.2/ggdist/R/geom.R                                                                                     |   43 
 ggdist-3.3.2/ggdist/R/geom_blur_dots.R                                                                           |only
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 ggdist-3.3.2/ggdist/R/geom_interval.R                                                                            |    3 
 ggdist-3.3.2/ggdist/R/geom_lineribbon.R                                                                          |  118 +-
 ggdist-3.3.2/ggdist/R/geom_pointinterval.R                                                                       |    5 
 ggdist-3.3.2/ggdist/R/geom_slab.R                                                                                |   10 
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 ggdist-3.3.2/ggdist/R/geom_spike.R                                                                               |   38 
 ggdist-3.3.2/ggdist/R/geom_swarm.R                                                                               |    4 
 ggdist-3.3.2/ggdist/R/ggdist-package.R                                                                           |    3 
 ggdist-3.3.2/ggdist/R/guide_rampbar.R                                                                            |   56 -
 ggdist-3.3.2/ggdist/R/lkjcorr_marginal.R                                                                         |   10 
 ggdist-3.3.2/ggdist/R/parse_dist.R                                                                               |   89 +
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 ggdist-3.3.2/ggdist/R/point_interval.R                                                                           |  153 +--
 ggdist-3.3.2/ggdist/R/position_dodgejust.R                                                                       |   10 
 ggdist-3.3.2/ggdist/R/pr.R                                                                                       |   13 
 ggdist-3.3.2/ggdist/R/rd.R                                                                                       |   57 -
 ggdist-3.3.2/ggdist/R/rd_dotsinterval.R                                                                          |   82 +
 ggdist-3.3.2/ggdist/R/rd_lineribbon.R                                                                            |   14 
 ggdist-3.3.2/ggdist/R/rd_slabinterval.R                                                                          |   28 
 ggdist-3.3.2/ggdist/R/scale_.R                                                                                   |  131 +-
 ggdist-3.3.2/ggdist/R/scale_colour_ramp.R                                                                        |  108 +-
 ggdist-3.3.2/ggdist/R/scale_side_mirrored.R                                                                      |    4 
 ggdist-3.3.2/ggdist/R/scale_thickness.R                                                                          |   96 +
 ggdist-3.3.2/ggdist/R/smooth.R                                                                                   |   14 
 ggdist-3.3.2/ggdist/R/stat.R                                                                                     |    5 
 ggdist-3.3.2/ggdist/R/stat_dotsinterval.R                                                                        |   28 
 ggdist-3.3.2/ggdist/R/stat_mcse_dots.R                                                                           |only
 ggdist-3.3.2/ggdist/R/stat_slabinterval.R                                                                        |   92 +
 ggdist-3.3.2/ggdist/R/stat_spike.R                                                                               |  130 ++
 ggdist-3.3.2/ggdist/R/student_t.R                                                                                |    4 
 ggdist-3.3.2/ggdist/R/subguide.R                                                                                 |only
 ggdist-3.3.2/ggdist/R/testthat.R                                                                                 |    7 
 ggdist-3.3.2/ggdist/R/theme_ggdist.R                                                                             |   17 
 ggdist-3.3.2/ggdist/R/tidy_format_translators.R                                                                  |   23 
 ggdist-3.3.2/ggdist/R/util.R                                                                                     |   98 +
 ggdist-3.3.2/ggdist/R/weighted_ecdf.R                                                                            |   18 
 ggdist-3.3.2/ggdist/R/weighted_hist.R                                                                            |  239 +++-
 ggdist-3.3.2/ggdist/R/weighted_quantile.R                                                                        |   42 
 ggdist-3.3.2/ggdist/inst/CITATION                                                                                |    4 
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 ggdist-3.3.2/ggdist/inst/doc/freq-uncertainty-vis.Rmd                                                            |   25 
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 ggdist-3.3.2/ggdist/inst/doc/lineribbon.Rmd                                                                      |   47 
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 ggdist-3.3.2/ggdist/inst/doc/slabinterval.html                                                                   |  307 +++---
 ggdist-3.3.2/ggdist/man/align.Rd                                                                                 |    1 
 ggdist-3.3.2/ggdist/man/auto_partial.Rd                                                                          |   17 
 ggdist-3.3.2/ggdist/man/bandwidth.Rd                                                                             |    1 
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More information about ggdist at CRAN
Permanent link

Package gdtools updated to version 0.3.7 with previous version 0.3.6 dated 2024-02-22

Title: Utilities for Graphical Rendering and Fonts Management
Description: Tools are provided to compute metrics of formatted strings and to check the availability of a font. Another set of functions is provided to support the collection of fonts from 'Google Fonts' in a cache. Their use is simple within 'R Markdown' documents and 'shiny' applications but also with graphic productions generated with the 'ggiraph', 'ragg' and 'svglite' packages or with tabular productions from the 'flextable' package.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] , Yixuan Qiu [ctb], R Core Team [cph] , ArData [cph], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between gdtools versions 0.3.6 dated 2024-02-22 and 0.3.7 dated 2024-03-05

 DESCRIPTION                         |    6 ++--
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More information about gdtools at CRAN
Permanent link

Package coxme updated to version 2.2-20 with previous version 2.2-19 dated 2024-03-02

Title: Mixed Effects Cox Models
Description: Fit Cox proportional hazards models containing both fixed and random effects. The random effects can have a general form, of which familial interactions (a "kinship" matrix) is a particular special case. Note that the simplest case of a mixed effects Cox model, i.e. a single random per-group intercept, is also called a "frailty" model. The approach is based on Ripatti and Palmgren, Biometrics 2002.
Author: Terry M. Therneau [aut, cre]
Maintainer: Terry M. Therneau <therneau.terry@mayo.edu>

Diff between coxme versions 2.2-19 dated 2024-03-02 and 2.2-20 dated 2024-03-05

 DESCRIPTION           |    6 +++---
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 inst/doc/laplace.pdf  |binary
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 inst/doc/variance.pdf |binary
 8 files changed, 17 insertions(+), 11 deletions(-)

More information about coxme at CRAN
Permanent link


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