Mon, 30 Sep 2024

Package ridigbio updated to version 0.4.1 with previous version 0.4.0 dated 2024-09-03

Title: Interface to the iDigBio Data API
Description: An interface to iDigBio's search API that allows downloading specimen records. Searches are returned as a data.frame. Other functions such as the metadata end points return lists of information. iDigBio is a US project focused on digitizing and serving museum specimen collections on the web. See <https://www.idigbio.org> for information on iDigBio.
Author: Francois Michonneau [aut, cph] , Matthew Collins [aut] , Scott Chamberlain [ctb], Kevin Love [ctb], Hem Nalini Morzaria-Luna [ctb], Michelle L. Gaynor [ctb, aut], Jesse Bennett [cre]
Maintainer: Jesse Bennett <j3553@ufl.edu>

Diff between ridigbio versions 0.4.0 dated 2024-09-03 and 0.4.1 dated 2024-09-30

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Package tsxtreme updated to version 0.3.4 with previous version 0.3.3 dated 2021-04-23

Title: Bayesian Modelling of Extremal Dependence in Time Series
Description: Characterisation of the extremal dependence structure of time series, avoiding pre-processing and filtering as done typically with peaks-over-threshold methods. It uses the conditional approach of Heffernan and Tawn (2004) <DOI:10.1111/j.1467-9868.2004.02050.x> which is very flexible in terms of extremal and asymptotic dependence structures, and Bayesian methods improve efficiency and allow for deriving measures of uncertainty. For example, the extremal index, related to the size of clusters in time, can be estimated and samples from its posterior distribution obtained.
Author: Thomas Lugrin [aut, cre, cph]
Maintainer: Thomas Lugrin <thomas.lugrin@alumni.epfl.ch>

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Package CholWishart updated to version 1.1.4 with previous version 1.1.2.1 dated 2024-09-23

Title: Cholesky Decomposition of the Wishart Distribution
Description: Sampling from the Cholesky factorization of a Wishart random variable, sampling from the inverse Wishart distribution, sampling from the Cholesky factorization of an inverse Wishart random variable, sampling from the pseudo Wishart distribution, sampling from the generalized inverse Wishart distribution, computing densities for the Wishart and inverse Wishart distributions, and computing the multivariate gamma and digamma functions. Provides a header file so the C functions can be called directly from other programs.
Author: Geoffrey Thompson [aut, cre] , R Core Team [ctb]
Maintainer: Geoffrey Thompson <gzthompson@gmail.com>

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Package vectorsurvR updated to version 1.2.1 with previous version 0.2.0 dated 2024-07-01

Title: Data Access and Analytical Tools for 'VectorSurv' Users
Description: Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.
Author: Christina De Cesaris [aut, cre]
Maintainer: Christina De Cesaris <cmdecesaris@ucdavis.edu>

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Package MAMS updated to version 3.0.0 with previous version 2.0.2 dated 2024-04-12

Title: Designing Multi-Arm Multi-Stage Studies
Description: Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.
Author: Thomas Jaki [aut, cre] , Dominique-Laurent Couturier [aut] , Dominic Magirr [aut], Nikita Mozgunov [aut] , Philip Pallmann [aut]
Maintainer: Thomas Jaki <thomas.jaki@pm.me>

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Package lmomRFA updated to version 3.8 with previous version 3.6 dated 2023-08-29

Title: Regional Frequency Analysis using L-Moments
Description: Functions for regional frequency analysis using the methods of J. R. M. Hosking and J. R. Wallis (1997), "Regional frequency analysis: an approach based on L-moments".
Author: J. R. M. Hosking [aut, cre]
Maintainer: J. R. M. Hosking <jrmhosking@gmail.com>

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Package lmom updated to version 3.2 with previous version 3.0 dated 2023-08-29

Title: L-Moments
Description: Functions related to L-moments: computation of L-moments and trimmed L-moments of distributions and data samples; parameter estimation; L-moment ratio diagram; plot vs. quantiles of an extreme-value distribution.
Author: J. R. M. Hosking [aut, cre]
Maintainer: J. R. M. Hosking <jrmhosking@gmail.com>

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Package glue updated to version 1.8.0 with previous version 1.7.0 dated 2024-01-09

Title: Interpreted String Literals
Description: An implementation of interpreted string literals, inspired by Python's Literal String Interpolation <https://www.python.org/dev/peps/pep-0498/> and Docstrings <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals <https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>.
Author: Jim Hester [aut] , Jennifer Bryan [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package fields updated to version 16.3 with previous version 16.2 dated 2024-06-27

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get star [...truncated...]
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], Rider Johnson [aut]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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Package ddalpha updated to version 1.3.16 with previous version 1.3.15 dated 2024-01-12

Title: Depth-Based Classification and Calculation of Data Depth
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 <doi:10.18637/jss.v091.i05>).
Author: Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]
Maintainer: Oleksii Pokotylo <alexey.pokotylo@gmail.com>

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Package swdpwr updated to version 1.10 with previous version 1.9 dated 2023-09-28

Title: Power Calculation for Stepped Wedge Cluster Randomized Trials
Description: To meet the needs of statistical power calculation for stepped wedge cluster randomized trials, we developed this software. Different parameters can be specified by users for different scenarios, including: cross-sectional and cohort designs, binary and continuous outcomes, marginal (GEE) and conditional models (mixed effects model), three link functions (identity, log, logit links), with and without time effects (the default specification assumes no-time-effect) under exchangeable, nested exchangeable and block exchangeable correlation structures. Unequal numbers of clusters per sequence are also allowed. The methods included in this package: Zhou et al. (2020) <doi:10.1093/biostatistics/kxy031>, Li et al. (2018) <doi:10.1111/biom.12918>. Supplementary documents can be found at: <https://ysph.yale.edu/cmips/research/software/study-design-power-calculation/swdpwr/>. The Shiny app for swdpwr can be accessed at: <https://jiachenchen322.shinyapps.io/swdpwr_shinyapp/&g [...truncated...]
Author: Jiachen Chen [cre, aut], Xin Zhou [aut], Fan Li [aut], Donna Spiegelman. [aut]
Maintainer: Jiachen Chen <jiachen.chen322@gmail.com>

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Package rapiclient updated to version 0.1.8 with previous version 0.1.6 dated 2024-08-21

Title: Dynamic OpenAPI/Swagger Client
Description: Access services specified in OpenAPI (formerly Swagger) format. It is not a code generator. Client is generated dynamically as a list of R functions.
Author: Darko Bergant [aut], Marcel Ramos [cre, ctb] , Alexandru Mahmoud [ctb], Sean Davis [ctb], Martin Morgan [ctb]
Maintainer: Marcel Ramos <marcel.ramos@sph.cuny.edu>

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Package nichetools updated to version 0.3.2 with previous version 0.3.1 dated 2024-09-06

Title: Complementary Package to 'nicheROVER' and 'SIBER'
Description: Provides functions complementary to packages 'nicheROVER' and 'SIBER' allowing the user to extract Bayesian estimates from data objects created by the packages 'nicheROVER' and 'SIBER'. Please see the following publications for detailed methods on 'nicheROVER' and 'SIBER' Hansen et al. (2015) <doi:10.1890/14-0235.1>, Jackson et al. (2011) <doi:10.1111/j.1365-2656.2011.01806.x>, and Layman et al. (2007) <doi:10.1890/0012-9658(2007)88[42:CSIRPF]2.0.CO;2>, respectfully.
Author: Benjamin L. Hlina [aut, cre]
Maintainer: Benjamin L. Hlina <benjamin.hlina@gmail.com>

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Package adepro updated to version 4.1.2 with previous version 4.1.0 dated 2024-04-25

Title: A 'shiny' Application for the (Audio-)Visualization of Adverse Event Profiles
Description: Contains a 'shiny' application called AdEPro (Animation of Adverse Event Profiles) which (audio-)visualizes adverse events occurring in clinical trials. As this data is usually considered sensitive, this tool is provided as a stand-alone application that can be launched from any local machine on which the data is stored.
Author: Nicole Rethemeier [aut], Christoph Tasto [aut], Steffen Jeske [aut], Bodo Kirsch [cre]
Maintainer: Bodo Kirsch <bodo.kirsch@bayer.com>

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Package MixMatrix updated to version 0.2.8 with previous version 0.2.6 dated 2021-11-16

Title: Classification with Matrix Variate Normal and t Distributions
Description: Provides sampling and density functions for matrix variate normal, t, and inverted t distributions; ML estimation for matrix variate normal and t distributions using the EM algorithm, including some restrictions on the parameters; and classification by linear and quadratic discriminant analysis for matrix variate normal and t distributions described in Thompson et al. (2019) <doi:10.1080/10618600.2019.1696208>. Performs clustering with matrix variate normal and t mixture models.
Author: Geoffrey Thompson [aut, cre] , B. D. Ripley [ctb, cph] , W. N. Venables [ctb, cph]
Maintainer: Geoffrey Thompson <gzthompson@gmail.com>

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Package crosstable updated to version 0.8.0 with previous version 0.7.0 dated 2023-11-12

Title: Crosstables for Descriptive Analyses
Description: Create descriptive tables for continuous and categorical variables. Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'. You can also compute effect sizes and statistical tests if needed.
Author: Dan Chaltiel [aut, cre] , David Hajage [ccp]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>

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Package RHRV updated to version 5.0.0 with previous version 4.2.7 dated 2022-10-31

Title: Heart Rate Variability Analysis of ECG Data
Description: Allows users to import data files containing heartbeat positions in the most broadly used formats, to remove outliers or points with unacceptable physiological values present in the time series, to plot HRV data, and to perform time domain, frequency domain and nonlinear HRV analysis. See Garcia et al. (2017) <DOI:10.1007/978-3-319-65355-6>.
Author: Leandro Rodriguez-Linares [aut, cre], Xose Vila [aut], Maria Jose Lado [aut], Arturo Mendez [aut], Abraham Otero [aut], Constantino Antonio Garcia [aut], Matti Lassila [ctb]
Maintainer: Leandro Rodriguez-Linares <leandro@uvigo.es>

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Package CohortGenerator updated to version 0.11.2 with previous version 0.11.1 dated 2024-09-15

Title: Cohort Generation for the OMOP Common Data Model
Description: Generate cohorts and subsets using an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) Database. Cohorts are defined using 'CIRCE' (<https://github.com/ohdsi/circe-be>) or SQL compatible with 'SqlRender' (<https://github.com/OHDSI/SqlRender>).
Author: Anthony Sena [aut, cre], Jamie Gilbert [aut], Gowtham Rao [aut], Martijn Schuemie [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Anthony Sena <sena@ohdsi.org>

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Package phylolm updated to version 2.6.5 with previous version 2.6.2 dated 2020-06-22

Title: Phylogenetic Linear Regression
Description: Provides functions for fitting phylogenetic linear models and phylogenetic generalized linear models. The computation uses an algorithm that is linear in the number of tips in the tree. The package also provides functions for simulating continuous or binary traits along the tree. Other tools include functions to test the adequacy of a population tree.
Author: Lam Si Tung Ho [aut, cre], Cecile Ane [aut], Robert Lachlan [ctb], Kelsey Tarpinian [ctb], Rachel Feldman [ctb], Qing Yu [ctb], Wouter van der Bijl [ctb], Joan Maspons [ctb], Rutger Vos [ctb], Paul Bastide [ctb]
Maintainer: Lam Si Tung Ho <lamho86@gmail.com>

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Package ibawds updated to version 1.0.0 with previous version 0.6.0 dated 2024-03-08

Title: Functions and Datasets for the Data Science Course at IBAW
Description: A collection of useful functions and datasets for the Data Science Course at IBAW.
Author: Stefan Lanz [aut, cre]
Maintainer: Stefan Lanz <slanz1137@gmail.com>

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Package fctutils updated to version 0.0.7 with previous version 0.0.6 dated 2024-09-24

Title: Advanced Factor Manipulation Utilities
Description: Provides a collection of utility functions for manipulating and analyzing factor vectors in R. It offers tools for filtering, splitting, combining, and reordering factor levels based on various criteria. The package is designed to simplify common tasks in categorical data analysis, making it easier to work with factors in a flexible and efficient manner.
Author: Kai Guo [aut, cre]
Maintainer: Kai Guo <guokai8@gmail.com>

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Package WMWssp (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:

2019-07-09 0.4.0
2019-03-11 0.3.7
2019-03-07 0.3.6
2018-07-08 0.3.4
2018-02-19 0.3.2

Permanent link
Package lulab.utils updated to version 0.0.3 with previous version 0.0.2 dated 2024-09-10

Title: Supporting Functions Maintained by Zhen Lu
Description: Miscellaneous functions commonly used by LuLab. This package aims to help more researchers on epidemiology to perform data management and visualization more efficiently.
Author: Zhen Lu [aut, cre]
Maintainer: Zhen Lu <luzh29@mail2.sysu.edu.cn>

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Package explainer updated to version 1.0.2 with previous version 1.0.1 dated 2024-04-18

Title: Machine Learning Model Explainer
Description: It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.
Author: Ramtin Zargari Marandi [aut, cre]
Maintainer: Ramtin Zargari Marandi <ramtin.zargari.marandi@regionh.dk>

Diff between explainer versions 1.0.1 dated 2024-04-18 and 1.0.2 dated 2024-09-30

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Package DRomics updated to version 2.6-0 with previous version 2.5-2 dated 2024-01-31

Title: Dose Response for Omics
Description: Several functions are provided for dose-response (or concentration-response) characterization from omics data. 'DRomics' is especially dedicated to omics data obtained using a typical dose-response design, favoring a great number of tested doses (or concentrations) rather than a great number of replicates (no need of replicates). 'DRomics' provides functions 1) to check, normalize and or transform data, 2) to select monotonic or biphasic significantly responding items (e.g. probes, metabolites), 3) to choose the best-fit model among a predefined family of monotonic and biphasic models to describe each selected item, 4) to derive a benchmark dose or concentration and a typology of response from each fitted curve. In the available version data are supposed to be single-channel microarray data in log2, RNAseq data in raw counts, or already pretreated continuous omics data (such as metabolomic data) in log scale. In order to link responses across biological levels based on a common method, [...truncated...]
Author: Marie-Laure Delignette-Muller [aut] , Elise Billoir [aut] , Floriane Larras [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between DRomics versions 2.5-2 dated 2024-01-31 and 2.6-0 dated 2024-09-30

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Package aws updated to version 2.5-6 with previous version 2.5-5 dated 2024-02-07

Title: Adaptive Weights Smoothing
Description: We provide a collection of R-functions implementing adaptive smoothing procedures in 1D, 2D and 3D. This includes the Propagation-Separation Approach to adaptive smoothing, the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter. The package is described in detail in Polzehl J, Papafitsoros K, Tabelow K (2020). Patch-Wise Adaptive Weights Smoothing in R. Journal of Statistical Software, 95(6), 1-27. <doi:10.18637/jss.v095.i06>, Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2023), Magnetic Resonance Brain Imaging, 2nd Ed. Appendix A, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>.
Author: Joerg Polzehl [aut, cre], Felix Anker [ctb]
Maintainer: Joerg Polzehl <joerg.polzehl@wias-berlin.de>

Diff between aws versions 2.5-5 dated 2024-02-07 and 2.5-6 dated 2024-09-30

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Package RNiftyReg updated to version 2.8.4 with previous version 2.8.3 dated 2024-06-20

Title: Image Registration Using the 'NiftyReg' Library
Description: Provides an 'R' interface to the 'NiftyReg' image registration tools <https://github.com/KCL-BMEIS/niftyreg>. Linear and nonlinear registration are supported, in two and three dimensions.
Author: Jon Clayden [cre, aut] , Marc Modat [aut], Benoit Presles [aut], Thanasis Anthopoulos [aut], Pankaj Daga [aut]
Maintainer: Jon Clayden <code@clayden.org>

Diff between RNiftyReg versions 2.8.3 dated 2024-06-20 and 2.8.4 dated 2024-09-30

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Package restatapi updated to version 0.23.2 with previous version 0.23.1 dated 2024-03-26

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services (<https://wikis.ec.europa.eu/pages/viewpage.action?pageId=44165555>) to search and download data from the Eurostat database using the SDMX standard.
Author: Matyas Meszaros [aut, cre], Sebastian Weinand [ctb]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

Diff between restatapi versions 0.23.1 dated 2024-03-26 and 0.23.2 dated 2024-09-30

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More information about restatapi at CRAN
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New package pikchr with initial version 0.97
Package: pikchr
Title: R Wrapper for 'pikchr' (PIC) Diagram Language
Version: 0.97
Date: 2024-09-25
Description: An 'R' interface to 'pikchr' (<https://pikchr.org>, pronounced “picture”), a 'PIC'-like markup language for creating diagrams within technical documentation. Originally developed by Brian Kernighan, 'PIC' has been adapted into 'pikchr' by D. Richard Hipp, the creator of 'SQLite'. 'pikchr' is designed to be embedded in fenced code blocks of Markdown or other documentation markup languages, making it ideal for generating diagrams in text-based formats. This package allows R users to seamlessly integrate the descriptive syntax of 'pikchr' for diagram creation directly within the 'R' environment.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Imports: knitr, brio, htmltools, rlang, purrr, stringr, rsvg
URL: <https://github.com/StrategicProjects/pikchr>
Note: This package makes use of the 'pikchr' source code created by Richard Hipp (<https://pikchr.org>).
NeedsCompilation: yes
Packaged: 2024-09-27 11:33:45 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Richard Hipp [ctb], Brian Kernighan [ctb]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2024-09-30 16:40:02 UTC

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New package kappaGold with initial version 0.3.2
Package: kappaGold
Title: Agreement of Nominal Scale Raters with a Gold Standard
Version: 0.3.2
Date: 2024-09-27
Description: Estimate agreement of a group of raters with a gold standard rating on a nominal scale. For a single gold standard rater the average pairwise agreement of raters with this gold standard is provided. For a group of gold standard raters the approach of S. Vanbelle, A. Albert (2009) <doi:10.1007/s11336-009-9116-1> is implemented. Bias and standard error are estimated via delete-1 jackknife.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: future.apply (>= 1.6), purrr (>= 0.3), stats, tibble, tidyr
Suggests: dplyr, irr, knitr, testthat (>= 3.0.0)
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2024-09-27 12:56:22 UTC; kuhnmat
Author: Matthias Kuhn [aut, cre] , Jonas Breidenstein [aut]
Maintainer: Matthias Kuhn <matthias.kuhn@tu-dresden.de>
Repository: CRAN
Date/Publication: 2024-09-30 16:50:02 UTC

More information about kappaGold at CRAN
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New package dampack with initial version 1.0.2.1000
Package: dampack
Title: Decision-Analytic Modeling Package
Version: 1.0.2.1000
Description: A suite of functions for analyzing and visualizing the health economic outputs of mathematical models. This package was developed with funding from the National Institutes of Allergy and Infectious Diseases of the National Institutes of Health under award no. R01AI138783. The content of this package is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The theoretical underpinnings of 'dampack''s functionality are detailed in Hunink et al. (2014) <doi:10.1017/CBO9781139506779>.
License: GPL-3
URL: https://github.com/DARTH-git/dampack
BugReports: https://github.com/DARTH-git/dampack/issues
Encoding: UTF-8
Depends: R (>= 3.5), ggplot2 (>= 3.3.0)
Imports: ellipse, dplyr, scales, stringr, mgcv, truncnorm, triangle, ggrepel, tidyr, rlang
Suggests: testthat, lintr, knitr, rmarkdown, kableExtra
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-27 18:14:02 UTC; cide
Author: Fernando Alarid-Escudero [aut] , Greg Knowlton [aut], Caleb W. Easterly [aut] , David Garibay [ctb, cre], Eva Enns [aut]
Maintainer: David Garibay <dgari039@uottawa.ca>
Repository: CRAN
Date/Publication: 2024-09-30 17:00:06 UTC

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Package dfmta updated to version 1.7-6 with previous version 1.7-3 dated 2022-05-03

Title: Phase I/II Adaptive Dose-Finding Design for MTA
Description: Phase I/II adaptive dose-finding design for single-agent Molecularly Targeted Agent (MTA), according to the paper "Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination using Adaptive Randomization", Riviere Marie-Karelle et al. (2016) <doi:10.1177/0962280216631763>.
Author: Marie-Karelle Riviere [aut], Jacques-Henri Jourdan [aut, cre]
Maintainer: Jacques-Henri Jourdan <jacques-henri.jourdan@cnrs.fr>

Diff between dfmta versions 1.7-3 dated 2022-05-03 and 1.7-6 dated 2024-09-30

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Package dfcomb updated to version 3.1-4 with previous version 3.1-1 dated 2023-01-07

Title: Phase I/II Adaptive Dose-Finding Design for Combination Studies
Description: Phase I/II adaptive dose-finding design for combination studies where toxicity rates are supposed to increase with both agents.
Author: Marie-Karelle Riviere [aut], Jacques-Henri Jourdan [aut, cre]
Maintainer: Jacques-Henri Jourdan <jacques-henri.jourdan@cnrs.fr>

Diff between dfcomb versions 3.1-1 dated 2023-01-07 and 3.1-4 dated 2024-09-30

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New package seq2R with initial version 2.0.1
Package: seq2R
Title: Simple Method to Detect Compositional Changes in Genomic Sequences
Version: 2.0.1
Date: 2024-09-27
Maintainer: Nora M. Villanueva <nmvillanueva@uvigo.gal>
Depends: R (>= 2.15.1)
Description: This software is useful for loading '.fasta' or '.gbk' files, and for retrieving sequences from 'GenBank' dataset <https://www.ncbi.nlm.nih.gov/genbank/>. This package allows to detect differences or asymmetries based on nucleotide composition by using local linear kernel smoothers. Also, it is possible to draw inference about critical points (i. e. maximum or minimum points) related with the derivative curves. Additionally, bootstrap methods have been used for estimating confidence intervals and speed computational techniques (binning techniques) have been implemented in 'seq2R'.
Imports: seqinr
License: GPL
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-30 13:01:08 UTC; sestelo
Author: Nora M. Villanueva [aut, cre] , Marta Sestelo [aut] , Alan Miller [ctb]
Repository: CRAN
Date/Publication: 2024-09-30 14:50:02 UTC

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Package BGVAR updated to version 2.5.8 with previous version 2.5.7 dated 2024-07-07

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available. The package has a companion paper: Boeck, M., Feldkircher, M. and F. Huber (2022) "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R", Journal of Statistical Software, Vol. 104(9), pp. 1-28 <doi:10.18 [...truncated...]
Author: Maximilian Boeck [aut, cre] , Martin Feldkircher [aut] , Florian Huber [aut] , Darjus Hosszejni [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@fau.de>

Diff between BGVAR versions 2.5.7 dated 2024-07-07 and 2.5.8 dated 2024-09-30

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Package simaerep updated to version 0.6.0 with previous version 0.5.0 dated 2024-04-03

Title: Find Clinical Trial Sites Under-Reporting Adverse Events
Description: Monitoring of Adverse Event (AE) reporting in clinical trials is important for patient safety. Sites that are under-reporting AEs can be detected using Bootstrap-based simulations that simulate overall AE reporting. Based on the simulation an AE under-reporting probability is assigned to each site in a given trial (Koneswarakantha 2021 <doi:10.1007/s40264-020-01011-5>).
Author: Bjoern Koneswarakantha [aut, cre, cph] , F. Hoffmann-La Roche Ltd [cph]
Maintainer: Bjoern Koneswarakantha <bjoern.koneswarakantha@roche.com>

Diff between simaerep versions 0.5.0 dated 2024-04-03 and 0.6.0 dated 2024-09-30

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Package multiplex updated to version 3.7 with previous version 3.4 dated 2024-07-30

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for analyses of multiple social networks are delivered with this package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>. 'multiplex' makes possible, among other things, to create and manipulate multiplex, multimode, and multilevel network data with different formats. Effective ways are available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup with decomposition procedures or semiring structures with the relational bundles occurring in different types of multivariate networks. 'multiplex' provides also an algebraic approach for affiliation networks through Galois derivations between families of the pairs of subsets in the two domains of the network with visualization options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

Diff between multiplex versions 3.4 dated 2024-07-30 and 3.7 dated 2024-09-30

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Package cmsafvis updated to version 1.2.9 with previous version 1.2.8 dated 2024-07-03

Title: Tools to Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

Diff between cmsafvis versions 1.2.8 dated 2024-07-03 and 1.2.9 dated 2024-09-30

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Package snotelr updated to version 1.5 with previous version 1.4 dated 2024-05-23

Title: Calculate and Visualize 'SNOTEL' Snow Data and Seasonality
Description: Programmatic interface to the 'SNOTEL' snow data (<https://www.nrcs.usda.gov/programs-initiatives/sswsf-snow-survey-and-water-supply-forecasting-program>). Provides easy downloads of snow data into your R work space or a local directory. Additional post-processing routines to extract snow season indexes are provided.
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

Diff between snotelr versions 1.4 dated 2024-05-23 and 1.5 dated 2024-09-30

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New package usaidplot with initial version 2.0.2
Package: usaidplot
Title: Make Graphs with US Agency for International Development Colors
Version: 2.0.2
Maintainer: Jacob Patterson-Stein <jacobpstein@gmail.com>
Description: Automatically apply the United States Agency for International Development's color palette and fonts for either discrete or continuous variables.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10), extrafont, extrafontdb, ggplot2
Suggests: testthat (>= 3.0.0)
URL: https://github.com/jacobpstein/usaid_plot
BugReports: https://github.com/jacobpstein/usaid_plot/issues
NeedsCompilation: no
Packaged: 2024-09-27 01:08:45 UTC; jacobpstein
Author: Jacob Patterson-Stein [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-30 10:30:02 UTC

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New package SpaCCI with initial version 1.0
Package: SpaCCI
Title: Spatially Aware Cell-Cell Interaction Analysis
Version: 1.0
Date: 2024-09-26
Maintainer: Li-Ting Ku <lku@mdanderson.org>
Description: Provides tools for analyzing spatial cell-cell interactions based on ligand-receptor pairs, including functions for local, regional, and global analysis using spatial transcriptomics data. Integrates with databases like 'CellChat' <http://www.cellchat.org/>, 'CellPhoneDB' <https://www.cellphonedb.org/>, 'Cellinker' <https://www.rna-society.org/cellinker/>, 'ICELLNET' <https://github.com/soumelis-lab/ICELLNET>, and 'ConnectomeDB' <https://humanconnectome.org/software/connectomedb/> to identify ligand-receptor pairs, visualize interactions through heatmaps, chord diagrams, and infer interactions on different spatial scales.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.13), Seurat (>= 4.0.0), nnls, ggrepel, pheatmap, circlize (>= 0.4.12), Matrix, dplyr, patchwork, grDevices, reshape2, graphics, ggplot2
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-09-26 23:55:52 UTC; lku
Author: Li-Ting Ku [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-30 10:30:14 UTC

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Package postdoc updated to version 1.4.0 with previous version 1.2.2 dated 2023-10-18

Title: Minimal and Uncluttered Package Documentation
Description: Generates simple and beautiful one-page HTML reference manuals with package documentation. Math rendering and syntax highlighting are done server-side in R such that no JavaScript libraries are needed in the browser, which makes the documentation portable and fast to load.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between postdoc versions 1.2.2 dated 2023-10-18 and 1.4.0 dated 2024-09-30

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New package pMEM with initial version 0.1-1
Package: pMEM
Title: Predictive Moran's Eigenvector Maps
Version: 0.1-1
Date: 2024-09-26
Encoding: UTF-8
Description: Calculation of Predictive Moran's eigenvector maps (pMEM), as defined by Guénard and Legendre (In Press) "Spatially-explicit predictions using spatial eigenvector maps" <doi:10.5281/zenodo.13356457>. Methods in Ecology and Evolution. This method enables scientists to predict the values of spatially-structured environmental variables. Multiple types of pMEM are defined, each one implemented on the basis of spatial weighting function taking a range parameter, and sometimes also a shape parameter. The code's modular nature enables programers to implement new pMEM by defining new spatial weighting functions.
Depends: R (>= 3.5.0), sf
Suggests: knitr, xfun, magrittr, glmnet
Imports: Rcpp (>= 1.0.11)
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
LinkingTo: Rcpp
VignetteBuilder: knitr
Repository: CRAN
Packaged: 2024-09-26 21:02:57 UTC; guenardg
Author: Guillaume Guenard [aut, cre] , Pierre Legendre [ctb]
Maintainer: Guillaume Guenard <guillaume.guenard@umontreal.ca>
Date/Publication: 2024-09-30 10:20:04 UTC

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New package IGC.CSM with initial version 0.2.0
Package: IGC.CSM
Title: Simulate Impact of Different Urban Policies Through a General Equilibrium Model
Version: 0.2.0
Description: Develops a General Equilibrium (GE) Model, which estimates key variables such as wages, the number of residents and workers, the prices of the floor space, and its distribution between commercial and residential use, as in Ahlfeldt et al., (2015) <doi:10.3982/ECTA10876>. By doing so, the model allows understanding the economic influence of different urban policies.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-27 01:23:43 UTC; zarruk
Author: David Zarruk [aut], Roman Zarate [aut, cre]
Maintainer: Roman Zarate <rd.zarate40@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-30 10:40:03 UTC

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Package gmoTree updated to version 1.2.0 with previous version 1.1.0 dated 2024-07-04

Title: Get and Modify 'oTree' Data
Description: Efficiently manage and process data from 'oTree' experiments. Import 'oTree' data and clean them by using functions that handle messy data, dropouts, and other problematic cases. Create IDs, calculate the time, transfer variables between app data frames, and delete sensitive information. Review your experimental data prior to running the experiment and automatically generate a detailed summary of the variables used in your 'oTree' code. Information on 'oTree' is found in Chen, D. L., Schonger, M., & Wickens, C. (2016) <doi:10.1016/j.jbef.2015.12.001>.
Author: Patricia F. Zauchner [aut, trl, cre, cph]
Maintainer: Patricia F. Zauchner <patricia.zauchner@gmx.at>

Diff between gmoTree versions 1.1.0 dated 2024-07-04 and 1.2.0 dated 2024-09-30

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New package Argentum with initial version 0.5.1
Package: Argentum
Title: Access and Import WMS and WFS Data from Argentine Organizations
Version: 0.5.1
Description: Provides functions to retrieve information from Web Feature Service (WFS) and Web Map Service (WMS) layers from various Argentine organizations and import them into R for further analysis. WFS and WMS are standardized protocols for serving georeferenced map data over the internet. For more information on these services, see <https://www.ogc.org/standard/wfs/> and <https://www.ogc.org/standard/wms/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, xml2, sf, readr
Suggests: testthat (>= 3.0.0), mockery
NeedsCompilation: no
Packaged: 2024-09-26 22:20:03 UTC; tomia
Author: Thomas Artopoulos [aut, cre]
Maintainer: Thomas Artopoulos <thomas.artopoulos@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-30 10:30:20 UTC

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New package STICr with initial version 1.0
Package: STICr
Title: Process Stream Temperature, Intermittency, and Conductivity (STIC) Sensor Data
Description: A collection of functions for processing raw data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced "sticker") includes functions for tidying, calibrating, classifying, and doing quality checks on data from STIC sensors. Some package functionality is described in Wheeler/Zipper et al. (2023) <doi:10.31223/X5636K>.
License: AGPL (>= 3)
URL: https://github.com/HEAL-KGS/STICr
BugReports: https://github.com/HEAL-KGS/STICr/issues
Encoding: UTF-8
LazyData: true
Version: 1.0
Depends: R (>= 4.2)
Imports: dplyr, lubridate, stringr, tidyr, methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-26 15:34:20 UTC; s947z036
Author: Sam Zipper [aut, cre, cph] , Christopher T. Wheeler [aut] , Stephen Cook [ctb] , Delaney Peterson [ctb] , Sarah Godsey [ctb]
Maintainer: Sam Zipper <samzipper@ku.edu>
Repository: CRAN
Date/Publication: 2024-09-30 09:50:02 UTC

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New package MethodOpt with initial version 1.0.0
Package: MethodOpt
Title: Advanced Method Optimization for Spectra-Generating Sampling and Analysis Instrumentation
Version: 1.0.0
Description: A graphical user interface to apply an advanced method optimization algorithm to various sampling and analysis instruments. This includes generating experimental designs, uploading and viewing data, and performing various analyses to determine the optimal method. Details of the techniques used in this package are published in Gamble, Granger, & Mannion (2024) <doi:10.1021/acs.analchem.3c05763>.
Depends: magrittr (>= 2.0.3)
License: GPL (>= 3)
Imports: shiny (>= 1.7.5.1), shinyFeedback (>= 0.4.0), shinyalert (>= 3.0.0), htmltools (>= 0.5.8.1), FrF2 (>= 2.3.3), DT (>= 0.30), ggplot2 (>= 3.4.4), stats (>= 4.3.2), dplyr (>= 1.1.3), shinyjs (>= 2.1.0), tibble (>= 3.2.1), glue (>= 1.6.2), rlang (>= 1.1.2), DoE.wrapper (>= 0.12), gtools (>= 3.9.5), zip (>= 2.3.0), zoo (>= 1.8.12), purrr (>= 1.0.2), shinyBS (>= 0.61.1)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-25 13:09:40 UTC; k9638
Author: Benjamin Luke [aut], Stephanie Gamble [aut, cre], Battelle Savannah River Alliance [cph]
Maintainer: Stephanie Gamble <stephanie.gamble@srnl.doe.gov>
Repository: CRAN
Date/Publication: 2024-09-30 09:50:07 UTC

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Package coRanking updated to version 0.2.5 with previous version 0.2.4 dated 2023-03-20

Title: Co-Ranking Matrix
Description: Calculates the co-ranking matrix to assess the quality of a dimensionality reduction.
Author: Guido Kraemer [aut, cre]
Maintainer: Guido Kraemer <guido.kraemer@uni-leipzig.de>

Diff between coRanking versions 0.2.4 dated 2023-03-20 and 0.2.5 dated 2024-09-30

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Package rcontroll updated to version 0.1.2 with previous version 0.1.1 dated 2023-09-07

Title: Individual-Based Forest Growth Simulator 'TROLL'
Description: 'TROLL' is coded in C++ and it typically simulates hundreds of thousands of individuals over hundreds of years. The 'rcontroll' R package is a wrapper of 'TROLL'. 'rcontroll' includes functions that generate inputs for simulations and run simulations. Finally, it is possible to analyse the 'TROLL' outputs through tables, figures, and maps taking advantage of other R visualisation packages. 'rcontroll' also offers the possibility to generate a virtual LiDAR point cloud that corresponds to a snapshot of the simulated forest.
Author: Sylvain Schmitt [aut, cre] , Guillaume Salzet [aut] , Fabian Fischer [aut] , Isabelle Marechaux [aut] , Jerome Chave [aut]
Maintainer: Sylvain Schmitt <sylvain.m.schmitt@gmail.com>

Diff between rcontroll versions 0.1.1 dated 2023-09-07 and 0.1.2 dated 2024-09-30

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Package powerPLS updated to version 0.2.0 with previous version 0.1.0 dated 2024-03-21

Title: Power Analysis for PLS Classification
Description: It estimates power and sample size for Partial Least Squares-based methods described in Andreella, et al., (2024), <doi:10.48550/arXiv.2403.10289>.
Author: Angela Andreella [aut, cre]
Maintainer: Angela Andreella <angela.andreella@unive.it>

Diff between powerPLS versions 0.1.0 dated 2024-03-21 and 0.2.0 dated 2024-09-30

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Package MorphoTools2 updated to version 1.0.2.0 with previous version 1.0.1.1 dated 2023-02-19

Title: Multivariate Morphometric Analysis
Description: Tools for multivariate analyses of morphological data, wrapped in one package, to make the workflow convenient and fast. Statistical and graphical tools provide a comprehensive framework for checking and manipulating input data, statistical analyses, and visualization of results. Several methods are provided for the analysis of raw data, to make the dataset ready for downstream analyses. Integrated statistical methods include hierarchical classification, principal component analysis, principal coordinates analysis, non-metric multidimensional scaling, and multiple discriminant analyses: canonical, stepwise, and classificatory (linear, quadratic, and the non-parametric k nearest neighbours). The philosophy of the package is described in Šlenker et al. 2022.
Author: Marek Slenker [aut, cre] , Petr Koutecky [ctb] , Karol Marhold [ctb]
Maintainer: Marek Slenker <marek.slenker@savba.sk>

Diff between MorphoTools2 versions 1.0.1.1 dated 2023-02-19 and 1.0.2.0 dated 2024-09-30

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Package ganGenerativeData updated to version 2.1.2 with previous version 2.0.2 dated 2024-06-23

Title: Generate Generative Data for a Data Source
Description: Generative Adversarial Networks are applied to generate generative data for a data source. A generative model consisting of a generator and a discriminator network is trained. During iterative training the distribution of generated data is converging to that of the data source. Direct applications of generative data are the created functions for data evaluation and missing data completion. A software service for accelerated training of generative models on graphics processing units is available. Reference: Goodfellow et al. (2014) <doi:10.48550/arXiv.1406.2661>.
Author: Werner Mueller [aut, cre]
Maintainer: Werner Mueller <werner.mueller5@chello.at>

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Package rYWAASB updated to version 0.2 with previous version 0.1 dated 2024-08-28

Title: Simultaneous Selection by Trait and WAASB Index
Description: This tool proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot generated by the 'metan'. The aim of the current package is to effectively distinguish the top-ranked genotypes in MET (Multi-Environmental Trials). For a detailed explanation of the process of obtaining "WAASB", "WAASBY" indices, and a "Y*WAASB" biplot, refer to the manual included in this package as well as the study by Olivoto & Lúcio (2020) <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019) <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of genotypes across different environments using linear mixed-effect models. To run the package, you need to extract the "WAASB" and "WAASBY" coefficients using the 'metan' and apply them. This tool utilizes PCA (Principal Component Analysis) and differentiates the entries which may be genotypes, hybrids, varieties, etc using "WAASB", "WAASBY", and a c [...truncated...]
Author: Ali Arminian [aut, cre, cph]
Maintainer: Ali Arminian <abeyran@gmail.com>

Diff between rYWAASB versions 0.1 dated 2024-08-28 and 0.2 dated 2024-09-30

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Package RPostgreSQL updated to version 0.7-7 with previous version 0.7-6 dated 2024-01-11

Title: R Interface to the 'PostgreSQL' Database System
Description: Database interface and 'PostgreSQL' driver for 'R'. This package provides a Database Interface 'DBI' compliant driver for 'R' to access 'PostgreSQL' database systems. In order to build and install this package from source, 'PostgreSQL' itself must be present your system to provide 'PostgreSQL' functionality via its libraries and header files. These files are provided as 'postgresql-devel' package under some Linux distributions. On 'macOS' and 'Microsoft Windows' system the attached 'libpq' library source will be used.
Author: Joe Conway [aut], Dirk Eddelbuettel [aut], Tomoaki Nishiyama [aut, cre], Sameer Kumar Prayaga [aut] , Neil Tiffin [aut]
Maintainer: Tomoaki Nishiyama <tomoaki@sci.u-toyama.ac.jp>

Diff between RPostgreSQL versions 0.7-6 dated 2024-01-11 and 0.7-7 dated 2024-09-30

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New package ready4 with initial version 0.1.18
Package: ready4
Title: Develop and Use Modular Health Economic Models
Version: 0.1.18
Description: A template model module, tools to help find model modules derived from this template and a programming syntax to use these modules in health economic analyses. These elements are the foundation for a prototype software framework for developing living and transferable models and using those models in reproducible health economic analyses. The software framework is extended by other R libraries. For detailed documentation about the framework and how to use it visit <https://www.ready4-dev.com/>. For a background to the methodological issues that the framework is attempting to help solve, see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.
License: GPL-3
URL: https://ready4-dev.github.io/ready4/, https://github.com/ready4-dev/ready4, https://www.ready4-dev.com/
Encoding: UTF-8
Suggests: devtools, Hmisc, knitr, pkgload, readr, readxl, rmarkdown, testthat, usethis, zen4R
VignetteBuilder: knitr
Imports: curl, dataverse, dplyr, gh, kableExtra, lifecycle, magrittr, methods, piggyback, purrr, rlang, rvest, stats, stringi, stringr, tibble, tidyRSS, tidyselect, tools, utils
Language: en-AU
NeedsCompilation: no
Packaged: 2024-09-30 02:48:40 UTC; mham0053
Author: Matthew Hamilton [aut, cre, cph] , Orygen [cph, fnd], Australian Government Research Training Program [fnd], VicHealth [fnd], Victoria University [fnd]
Maintainer: Matthew Hamilton <matthew.hamilton1@monash.edu>
Repository: CRAN
Date/Publication: 2024-09-30 07:10:02 UTC

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New package ModTools with initial version 0.9.13
Package: ModTools
Title: Building Regression and Classification Models
Version: 0.9.13
Date: 2024-09-25
Encoding: UTF-8
Description: Consistent user interface to the most common regression and classification algorithms, such as random forest, neural networks, C5 trees and support vector machines, complemented with a handful of auxiliary functions, such as variable importance and a tuning function for the parameters.
Depends: DescTools, MASS, nnet, survival, R (>= 3.5.0)
License: GPL (>= 2)
Suggests: VGAM
Imports: e1071, C50, rpart, randomForest, pROC, methods, relaimpo, rpart.plot, lattice, lmtest, car, robustbase, class, NeuralNetTools, naivebayes, sandwich, AER, boot, pscl
URL: https://andrisignorell.github.io/ModTools/, https://github.com/AndriSignorell/ModTools/
BugReports: https://github.com/AndriSignorell/ModTools/issues
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Packaged: 2024-09-29 19:45:48 UTC; andri
Author: Andri Signorell [aut, cre], Bernhard Compton [ctb], Marcel Dettling [ctb], Alexandre Hainard [ctb], Max Kuhn [ctb], Frederique Lisacek [ctb], Michal Majka [ctb], Markus Mueller [ctb], Dan Putler [ctb], Jean-Charles Sanchez [ctb], Natalia Tiberti [ctb] [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>
Repository: CRAN
Date/Publication: 2024-09-30 07:10:13 UTC

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Package lfproQC updated to version 1.3.0 with previous version 0.3.0 dated 2024-09-13

Title: Quality Control for Label-Free Proteomics Expression Data
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Girish Kumar Jha [ctb]
Maintainer: Kabilan S <kabilan151414@gmail.com>

Diff between lfproQC versions 0.3.0 dated 2024-09-13 and 1.3.0 dated 2024-09-30

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Package bayesreg updated to version 1.3 with previous version 1.2 dated 2021-03-29

Title: Bayesian Regression Models with Global-Local Shrinkage Priors
Description: Fits linear or generalized linear regression models using Bayesian global-local shrinkage prior hierarchies as described in Polson and Scott (2010) <doi:10.1093/acprof:oso/9780199694587.003.0017>. Provides an efficient implementation of ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace, Student-t, Poisson or geometric distributed targets using the algorithms summarized in Makalic and Schmidt (2016) <doi:10.48550/arXiv.1611.06649>.
Author: Daniel F. Schmidt [aut, cph, cre] , Enes Makalic [aut, cph]
Maintainer: Daniel F. Schmidt <daniel.schmidt@monash.edu>

Diff between bayesreg versions 1.2 dated 2021-03-29 and 1.3 dated 2024-09-30

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Package EmpiricalCalibration updated to version 3.1.3 with previous version 3.1.2 dated 2023-12-21

Title: Routines for Performing Empirical Calibration of Observational Study Estimates
Description: Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account. A similar approach can be used to calibrate confidence intervals, using both negative and positive controls. For more details, see Schuemie et al. (2013) <doi:10.1002/sim.5925> and Schuemie et al. (2018) <doi:10.1073/pnas.1708282114>.
Author: Martijn Schuemie [aut, cre] , Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between EmpiricalCalibration versions 3.1.2 dated 2023-12-21 and 3.1.3 dated 2024-09-30

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Package sdsfun updated to version 0.3.0 with previous version 0.2.1 dated 2024-09-23

Title: Spatial Data Science Complementary Features
Description: Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between sdsfun versions 0.2.1 dated 2024-09-23 and 0.3.0 dated 2024-09-30

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Package plpoisson updated to version 0.3.1 with previous version 0.3.0 dated 2022-05-10

Title: Prediction Limits for Poisson Distribution
Description: Prediction limits for the Poisson distribution are produced from both frequentist and Bayesian viewpoints. Limiting results are provided in a Bayesian setting with uniform, Jeffreys and gamma as prior distributions. More details on the methodology are discussed in Bejleri and Nandram (2018) <doi:10.1080/03610926.2017.1373814> and Bejleri, Sartore and Nandram (2021) <doi:10.1007/s42952-021-00157-x>.
Author: Valbona Bejleri [aut] , Luca Sartore [aut, cre] , Balgobin Nandram [aut]
Maintainer: Luca Sartore <drwolf85@gmail.com>

Diff between plpoisson versions 0.3.0 dated 2022-05-10 and 0.3.1 dated 2024-09-30

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