Wed, 24 Jan 2024

Package rnpn updated to version 1.2.7.0 with previous version 1.2.6 dated 2023-08-30

Title: Interface to the National 'Phenology' Network 'API'
Description: Programmatic interface to the Web Service methods provided by the National 'Phenology' Network (<https://usanpn.org/>), which includes data on various life history events that occur at specific times.
Author: Jeff Switzer [aut, cre], Scott Chamberlain [aut], Lee Marsh [aut], Kevin Wong [aut], David LeBauer [ctb], Eric R Scott [ctb]
Maintainer: Jeff Switzer <jeff@usanpn.org>

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Package RcmdrPlugin.EZR updated to version 1.64 with previous version 1.63 dated 2023-12-03

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10918-6, Nankodo, ISBN: 978-4-524-26158-1, Ohmsha, ISBN: 978-4-274-22632-8), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below. This report has been cited in more than 10,000 scientific articles.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>

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Package sasLM updated to version 0.10.1 with previous version 0.10.0 dated 2023-11-19

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package f1dataR updated to version 1.5.0 with previous version 1.4.1 dated 2023-11-13

Title: Access Formula 1 Data
Description: Obtain Formula 1 data via the 'Ergast API' <https://ergast.com/mrd/> and the unofficial API <https://www.formula1.com/en/f1-live.html> via the 'fastf1' 'Python' library <https://docs.fastf1.dev/>.
Author: Santiago Casanova [aut, cre, cph], Philip Bulsink [aut]
Maintainer: Santiago Casanova <santiago.casanova@yahoo.com>

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Package UKB.COVID19 updated to version 0.1.4 with previous version 0.1.3 dated 2022-01-04

Title: UK Biobank COVID-19 Data Processing and Risk Factor Association Tests
Description: Process UK Biobank COVID-19 test result data for susceptibility, severity and mortality analyses, perform potential non-genetic COVID-19 risk factor and co-morbidity association tests. Wang et al. (2021) <doi:10.5281/zenodo.5174381>.
Author: Longfei Wang [aut, cre]
Maintainer: Longfei Wang <wang.lo@wehi.edu.au>

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Package neonPlantEcology updated to version 1.4.0 with previous version 1.3.5 dated 2024-01-16

Title: Process NEON Plant Data for Ecological Analysis
Description: Downloading and organizing plant presence and percent cover data from the National Ecological Observatory Network <https://www.neonscience.org>.
Author: Adam Mahood [aut, cre], Jacob Macdonald [ctb], Ranjan Muthukrishnan [ctb]
Maintainer: Adam Mahood <admahood@gmail.com>

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Package magmaR updated to version 1.0.3 with previous version 1.0.2 dated 2021-10-02

Title: R-Client for Interacting with the 'UCSF Data Library'
Description: A client for interacting with 'magma', the data warehouse of the 'UCSF Data Library'. 'magmaR' includes functions for querying and downloading data from 'magma', in order to enable working with such data in R, as well as for uploading local data to 'magma'.
Author: Daniel Bunis [aut, cre]
Maintainer: Daniel Bunis <daniel.bunis@ucsf.edu>

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Package oaii updated to version 0.4.0 with previous version 0.3.0 dated 2024-01-21

Title: 'OpenAI' API R Interface
Description: A comprehensive set of helpers that streamline data transmission and processing, making it effortless to interact with the 'OpenAI' API.
Author: Cezary Kuran [aut, cre]
Maintainer: Cezary Kuran <cezary.kuran@gmail.com>

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Package manynet updated to version 0.4.1 with previous version 0.3.0 dated 2023-12-15

Title: Many Ways to Make, Modify, Mark, and Map Myriad Networks
Description: A set of tools for making, modifying, marking, and mapping many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing and visualizing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package gldrm updated to version 1.6 with previous version 1.5 dated 2018-04-13

Title: Generalized Linear Density Ratio Models
Description: Fits a generalized linear density ratio model (GLDRM). A GLDRM is a semiparametric generalized linear model. In contrast to a GLM, which assumes a particular exponential family distribution, the GLDRM uses a semiparametric likelihood to estimate the reference distribution. The reference distribution may be any discrete, continuous, or mixed exponential family distribution. The model parameters, which include both the regression coefficients and the cdf of the unspecified reference distribution, are estimated by maximizing a semiparametric likelihood. Regression coefficients are estimated with no loss of efficiency, i.e. the asymptotic variance is the same as if the true exponential family distribution were known. Huang (2014) <doi:10.1080/01621459.2013.824892>. Huang and Rathouz (2012) <doi:10.1093/biomet/asr075>. Rathouz and Gao (2008) <doi:10.1093/biostatistics/kxn030>.
Author: Michael Wurm [aut, cre], Paul Rathouz [aut]
Maintainer: Michael Wurm <wurm@uwalumni.com>

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Package parttime updated to version 0.1.2 with previous version 0.1.1 dated 2023-03-08

Title: Partial Datetime Handling
Description: Datetimes and timestamps are invariably an imprecise notation, with any partial representation implying some amount of uncertainty. To handle this, 'parttime' provides classes for embedding partial missingness as a central part of its datetime classes. This central feature allows for more ergonomic use of datetimes for challenging datetime computation, including calculations of overlapping date ranges, imputations, and more thoughtful handling of ambiguity that arises from uncertain time zones. This package was developed first and foremost with pharmaceutical applications in mind, but aims to be agnostic to application to accommodate general use cases just as conveniently.
Author: Doug Kelkhoff [aut, cre], Bill Denney [ctb]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>

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Package DImodels updated to version 1.3.1 with previous version 1.3 dated 2023-11-22

Title: Diversity-Interactions (DI) Models
Description: The 'DImodels' package is suitable for analysing data from biodiversity and ecosystem function studies using the Diversity-Interactions (DI) modelling approach introduced by Kirwan et al. (2009) <doi:10.1890/08-1684.1>. Suitable data will contain proportions for each species and a community-level response variable, and may also include additional factors, such as blocks or treatments. The package can perform data manipulation tasks, such as computing pairwise interactions (the DI_data() function), can perform an automated model selection process (the autoDI() function) and has the flexibility to fit a wide range of user-defined DI models (the DI() function).
Author: Rafael de Andrade Moral [aut, cre], John Connolly [aut], Rishabh Vishwakarma [ctb], Caroline Brophy [aut]
Maintainer: Rafael de Andrade Moral <rafael.deandrademoral@mu.ie>

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Package sgmodel updated to version 0.1.2 with previous version 0.1.1 dated 2020-02-27

Title: Solves a Generic Stochastic Growth Model with a Representative Agent
Description: It computes the solutions to a generic stochastic growth model for a given set of user supplied parameters. It includes the solutions to the model, plots of the solution, a summary of the features of the model, a function that covers different types of consumption preferences, and a function that computes the moments of a Markov process. Merton, Robert C (1971) <doi:10.1016/0022-0531(71)90038-X>, Tauchen, George (1986) <doi:10.1016/0165-1765(86)90168-0>, Wickham, Hadley (2009, ISBN:978-0-387-98140-6 ).
Author: Thomas Vigie <vigiethomas@gmail.com>
Maintainer: Thomas Vigie <vigiethomas@gmail.com>

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Package atime updated to version 2024.1.24 with previous version 2023.3.31 dated 2023-04-03

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package animint2 updated to version 2024.1.24 with previous version 2023.11.21 dated 2023-11-21

Title: Animated Interactive Grammar of Graphics
Description: Functions are provided for defining animated, interactive data visualizations in R code, and rendering on a web page. The 2018 Journal of Computational and Graphical Statistics paper, <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.
Author: Toby Hocking [aut, cre] , Hadley Wickham [aut] , Winston Chang [aut] , RStudio [cph] , Nicholas Lewin-Koh [aut] , Martin Maechler [aut] , Randall Prium [aut] , Susan VanderPlas [aut] , Carson Sievert [aut] , Kevin Ferris [aut] , Jun Cai [aut] , Faiza [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package qualtRics updated to version 3.2.0 with previous version 3.1.7 dated 2022-11-18

Title: Download 'Qualtrics' Survey Data
Description: Provides functions to access survey results directly into R using the 'Qualtrics' API. 'Qualtrics' <https://www.qualtrics.com/about/> is an online survey and data collection software platform. See <https://api.qualtrics.com/> for more information about the 'Qualtrics' API. This package is community-maintained and is not officially supported by 'Qualtrics'.
Author: Jasper Ginn [aut], Jackson Curtis [ctb], Shaun Jackson [ctb], Samuel Kaminsky [ctb], Eric Knudsen [ctb], Joseph O'Brien [aut], Daniel Seneca [ctb], Julia Silge [aut, cre] , Phoebe Wong [ctb]
Maintainer: Julia Silge <julia.silge@gmail.com>

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Package speccurvieR updated to version 0.3.0 with previous version 0.1.0 dated 2023-10-05

Title: Easy, Fast, and Pretty Specification Curve Analysis
Description: Making specification curve analysis easy, fast, and pretty. It improves upon existing offerings with additional features and 'tidyverse' integration. Users can easily visualize and evaluate how their models behave under different specifications with a high degree of customization. For a description and applications of specification curve analysis see Simonsohn, Simmons, and Nelson (2020) <doi:10.1038/s41562-020-0912-z>.
Author: Zayne Sember [aut, cre, cph]
Maintainer: Zayne Sember <zsember@ucsd.edu>

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Package PeakSegOptimal updated to version 2024.1.24 with previous version 2018.05.25 dated 2018-05-25

Title: Optimal Segmentation Subject to Up-Down Constraints
Description: Computes optimal changepoint models using the Poisson likelihood for non-negative count data, subject to the PeakSeg constraint: the first change must be up, second change down, third change up, etc. For more info about the models and algorithms, read "A log-linear time algorithm for constrained changepoint detection" <arXiv:1703.03352> by TD Hocking et al.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

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Package partition updated to version 0.2.0 with previous version 0.1.4 dated 2021-10-05

Title: Agglomerative Partitioning Framework for Dimension Reduction
Description: A fast and flexible framework for agglomerative partitioning. 'partition' uses an approach called Direct-Measure-Reduce to create new variables that maintain the user-specified minimum level of information. Each reduced variable is also interpretable: the original variables map to one and only one variable in the reduced data set. 'partition' is flexible, as well: how variables are selected to reduce, how information loss is measured, and the way data is reduced can all be customized. 'partition' is based on the Partition framework discussed in Millstein et al. (2020) <doi:10.1093/bioinformatics/btz661>.
Author: Joshua Millstein [aut], Malcolm Barrett [aut, cre] , Katelyn Queen [aut]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

Diff between partition versions 0.1.4 dated 2021-10-05 and 0.2.0 dated 2024-01-24

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Package directlabels updated to version 2024.1.21 with previous version 2023.8.25 dated 2023-09-01

Title: Direct Labels for Multicolor Plots
Description: An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between directlabels versions 2023.8.25 dated 2023-09-01 and 2024.1.21 dated 2024-01-24

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Package cauchypca updated to version 1.3 with previous version 1.2 dated 2023-10-22

Title: Robust Principal Component Analysis Using the Cauchy Distribution
Description: A new robust principal component analysis algorithm is implemented that relies upon the Cauchy Distribution. The algorithm is suitable for high dimensional data even if the sample size is less than the number of variables. The methodology is described in this paper: Fayomi A., Pantazis Y., Tsagris M. and Wood A.T.A. (2024). "Cauchy robust principal component analysis with applications to high-dimensional data sets". Statistics and Computing, 34: 26. <doi:10.1007/s11222-023-10328-x>.
Author: Michail Tsagris [aut, cre], Aisha Fayomi [ctb], Yannis Pantazis [ctb], Andrew T.A. Wood [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between cauchypca versions 1.2 dated 2023-10-22 and 1.3 dated 2024-01-24

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Package zoid updated to version 1.3.1 with previous version 1.2.0 dated 2023-09-11

Title: Bayesian Zero-and-One Inflated Dirichlet Regression Modelling
Description: Fits Dirichlet regression and zero-and-one inflated Dirichlet regression with Bayesian methods implemented in Stan. These models are sometimes referred to as trinomial mixture models; covariates and overdispersion can optionally be included.
Author: Eric J. Ward [aut, cre] , Alexander J. Jensen [aut] , Ryan P. Kelly [aut] , Andrew O. Shelton [aut] , William H. Satterthwaite [aut] , Eric C. Anderson [aut]
Maintainer: Eric J. Ward <eric.ward@noaa.gov>

Diff between zoid versions 1.2.0 dated 2023-09-11 and 1.3.1 dated 2024-01-24

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Package RKorAPClient updated to version 0.8.0 with previous version 0.7.7 dated 2023-08-08

Title: 'KorAP' Web Service Client Package
Description: A client package that makes the 'KorAP' web service API accessible from R. The corpus analysis platform 'KorAP' has been developed as a scientific tool to make potentially large, stratified and multiply annotated corpora, such as the 'German Reference Corpus DeReKo' or the 'Corpus of the Contemporary Romanian Language CoRoLa', accessible for linguists to let them verify hypotheses and to find interesting patterns in real language use. The 'RKorAPClient' package provides access to 'KorAP' and the corpora behind it for user-created R code, as a programmatic alternative to the 'KorAP' web user-interface. You can learn more about 'KorAP' and use it directly on 'DeReKo' at <https://korap.ids-mannheim.de/>.
Author: Marc Kupietz [aut, cre], Nils Diewald [ctb], Leibniz Institute for the German Language [cph, fnd]
Maintainer: Marc Kupietz <kupietz@ids-mannheim.de>

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Package PeakSegJoint updated to version 2024.1.24 with previous version 2023.4.24 dated 2023-04-24

Title: Joint Peak Detection in Several ChIP-Seq Samples
Description: Jointly segment several ChIP-seq samples to find the peaks which are the same and different across samples. The fast approximate maximum Poisson likelihood algorithm is described in "PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples" <arXiv:1506.01286> by TD Hocking and G Bourque.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between PeakSegJoint versions 2023.4.24 dated 2023-04-24 and 2024.1.24 dated 2024-01-24

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Package PeakSegDP updated to version 2024.1.24 with previous version 2017.08.15 dated 2017-08-15

Title: Dynamic Programming Algorithm for Peak Detection in ChIP-Seq Data
Description: A quadratic time dynamic programming algorithm can be used to compute an approximate solution to the problem of finding the most likely changepoints with respect to the Poisson likelihood, subject to a constraint on the number of segments, and the changes which must alternate: up, down, up, down, etc. For more info read <http://proceedings.mlr.press/v37/hocking15.html> "PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data" by TD Hocking et al, proceedings of ICML2015.
Author: Toby Dylan Hocking, Guillem Rigaill
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

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Package glmpathcr updated to version 1.0.10 with previous version 1.0.9 dated 2023-06-14

Title: Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response
Description: Provides a function for fitting a penalized constrained continuation ratio model using the glmpath algorithm and methods for extracting coefficient estimates, predicted class, class probabilities, and plots as described by Archer and Williams (2012) <doi:10.1002/sim.4484>.
Author: Kellie J. Archer [aut, cre] , Andre Williams [aut]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

Diff between glmpathcr versions 1.0.9 dated 2023-06-14 and 1.0.10 dated 2024-01-24

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Package geofi updated to version 1.0.13 with previous version 1.0.11 dated 2023-12-18

Title: Access Finnish Geospatial Data
Description: Designed to simplify geospatial data access from the Statistics Finland Web Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi package offers researchers and analysts a set of tools to obtain and harmonize administrative spatial data for a wide range of applications, from urban planning to environmental research. The package contains annually updated time series of municipality key datasets that can be used for data aggregation and language translations.
Author: Markus Kainu [aut, cre] , Joona Lehtomaki [aut] , Juuso Parkkinen [ctb] , Jani Miettinen [ctb], Pyry Kantanen [ctb], Sampo Vesanen [ctb], Leo Lahti [aut]
Maintainer: Markus Kainu <markus.kainu@kapsi.fi>

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Package rhino updated to version 1.6.0 with previous version 1.5.0 dated 2023-09-06

Title: A Framework for Enterprise Shiny Applications
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
Author: Kamil Zyla [aut, cre], Jakub Nowicki [aut], Leszek Sieminski [aut], Marek Rogala [aut], Recle Vibal [aut], Tymoteusz Makowski [aut], Eduardo Almeida [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>

Diff between rhino versions 1.5.0 dated 2023-09-06 and 1.6.0 dated 2024-01-24

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Package rar updated to version 0.0.3 with previous version 0.0.2 dated 2024-01-18

Title: Risk-Adjusted Regression
Description: Perform risk-adjusted regression and sensitivity analysis as developed in "Mitigating Omitted- and Included-Variable Bias in Estimates of Disparate Impact" Jung et al. (2024) <arXiv:1809.05651>.
Author: Johann Gaebler [aut, cre, cph]
Maintainer: Johann Gaebler <me@jgaeb.com>

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Package R.filesets updated to version 2.15.1 with previous version 2.15.0 dated 2022-07-21

Title: Easy Handling of and Access to Files Organized in Structured Directories
Description: A file set refers to a set of files located in one or more directories on the file system. This package provides classes and methods to locate, setup, subset, navigate and iterate such sets. The API is designed such that these classes can be extended via inheritance to provide a richer API for special file formats. Moreover, a specific name format is defined such that filenames and directories can be considered to have full names which consists of a name followed by comma-separated tags. This adds additional flexibility to identify file sets and individual files. NOTE: This package's API should be considered to be in an beta stage. Its main purpose is currently to support the aroma.* packages, where it is one of the main core components; if you decide to build on top of this package, please contact the author first.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package metapack updated to version 0.3 with previous version 0.2.0 dated 2022-05-30

Title: Bayesian Meta-Analysis and Network Meta-Analysis
Description: Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models through Markov chain Monte Carlo algorithm. Currently, the package implements Hui Yao, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin (2015) <doi:10.1080/01621459.2015.1006065> and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) <doi:10.1002/sim.8983>. For maximal computational efficiency, the Markov chain Monte Carlo samplers for each model, written in C++, are fine-tuned. This software has been developed under the auspices of the National Institutes of Health and Merck & Co., Inc., Kenilworth, NJ, USA.
Author: Daeyoung Lim [aut, cre], Ming-Hui Chen [ctb], Sungduk Kim [ctb], Joseph Ibrahim [ctb], Arvind Shah [ctb], Jianxin Lin [ctb]
Maintainer: Daeyoung Lim <Daeyoung.Lim@fda.hhs.gov>

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Package HistDAWass updated to version 1.0.8 with previous version 1.0.7 dated 2022-09-26

Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi: 10.1007/s11634-014-0176-4>.
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>

Diff between HistDAWass versions 1.0.7 dated 2022-09-26 and 1.0.8 dated 2024-01-24

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Package fdasrvf updated to version 2.2.0 with previous version 2.1.2 dated 2023-12-21

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <arXiv:1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker [aut, cre] , Aymeric Stamm [ctb]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between fdasrvf versions 2.1.2 dated 2023-12-21 and 2.2.0 dated 2024-01-24

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Package csranks updated to version 1.2.2 with previous version 1.2.1 dated 2023-12-16

Title: Statistical Tools for Ranks
Description: Account for uncertainty when working with ranks. Estimate standard errors consistently in linear regression with ranked variables. Construct confidence sets of various kinds for positions of populations in a ranking based on values of a certain feature and their estimation errors. Theory based on Mogstad, Romano, Shaikh, and Wilhelm (2023)<doi:10.1093/restud/rdad006> and Chetverikov and Wilhelm (2023) <arXiv:2310.15512>.
Author: Daniel Wilhelm [aut, cre], Pawel Morgen [aut]
Maintainer: Daniel Wilhelm <d.wilhelm@lmu.de>

Diff between csranks versions 1.2.1 dated 2023-12-16 and 1.2.2 dated 2024-01-24

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New package CDCPLACES with initial version 1.1.4
Package: CDCPLACES
Title: Access the 'CDC PLACES' API
Version: 1.1.4
Maintainer: Brenden Smith <smit2535@msu.edu>
Description: Allows users to seamlessly query several 'CDC PLACES' APIs (<https://data.cdc.gov/browse?q=PLACES%20&sortBy=relevance>) by geography, state, measure, and release year. This package also contains a function to explore the available measures for each release year.
License: MIT + file LICENSE
URL: https://github.com/brendensm/CDCPLACES, https://brendensm.github.io/CDCPLACES/
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: curl, dplyr, httr, httr2, jsonlite, tidyr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-01-22 19:28:45 UTC; brendensmith
Author: Brenden Smith [aut, cre]
Repository: CRAN
Date/Publication: 2024-01-24 17:32:52 UTC

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Package tigris updated to version 2.1 with previous version 2.0.4 dated 2023-09-22

Title: Load Census TIGER/Line Shapefiles
Description: Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>) and load into R as 'sf' objects.
Author: Kyle Walker [aut, cre], Bob Rudis [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tigris versions 2.0.4 dated 2023-09-22 and 2.1 dated 2024-01-24

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Package repana updated to version 2.0.0 with previous version 1.23.2 dated 2021-09-20

Title: Repeatable Analysis in R
Description: Set of utilities to facilitate the reproduction of analysis in R. It allow to make_structure(), clean_structure(), and run and log programs in a predefined order to allow secondary files, analysis and reports be constructed in an ordered and reproducible form.
Author: John J. Aponte [aut, cre]
Maintainer: John J. Aponte <john.j.aponte@gmail.com>

Diff between repana versions 1.23.2 dated 2021-09-20 and 2.0.0 dated 2024-01-24

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Package mmrm updated to version 0.3.8 with previous version 0.3.7 dated 2023-12-08

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], Julia Dedic [aut], Doug Kelkhoff [aut], Kevin Kunzmann [aut], Brian Matthew Lang [aut], Liming Li [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 0.3.7 dated 2023-12-08 and 0.3.8 dated 2024-01-24

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New package lightparser with initial version 0.1.0
Package: lightparser
Title: From 'Rmarkdown' and 'Quarto' Files to Tibble and Back
Version: 0.1.0
Description: Split your 'rmarkdown' or 'quarto' files by sections into a tibble: titles, text, chunks. Rebuild the file from the tibble.
License: MIT + file LICENSE
URL: https://github.com/ThinkR-open/lightparser, https://thinkr-open.github.io/lightparser/
BugReports: https://github.com/ThinkR-open/lightparser/issues
Imports: knitr (>= 1.35), rlang, tibble, utils, yaml
Suggests: callr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-01-24 10:52:11 UTC; seb44
Author: Sebastien Rochette [aut, cre] , ThinkR [cph]
Maintainer: Sebastien Rochette <sebastien@thinkr.fr>
Repository: CRAN
Date/Publication: 2024-01-24 16:00:05 UTC

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Package ipanema updated to version 0.6.6 with previous version 0.6.5 dated 2023-12-20

Title: Read Data from 'LimeSurvey'
Description: Read data from 'LimeSurvey' (<https://www.limesurvey.org/>) in a comfortable way. Heavily inspired by 'limer' (<https://github.com/cloudyr/limer/>), which lacked a few comfort features for me.
Author: Maximilian Hagspiel [aut, cre, cph]
Maintainer: Maximilian Hagspiel <maxhag@mailbox.org>

Diff between ipanema versions 0.6.5 dated 2023-12-20 and 0.6.6 dated 2024-01-24

 DESCRIPTION               |    6 +++---
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Package fuzzySim updated to version 4.10.7 with previous version 4.10.5 dated 2023-10-09

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting absences under specified criteria, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially described in Barbosa (2015) <doi:10.1111/2041-210X.1237 [...truncated...]
Author: Barbosa A.M.
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between fuzzySim versions 4.10.5 dated 2023-10-09 and 4.10.7 dated 2024-01-24

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New package dtComb with initial version 1.0.1
Package: dtComb
Title: Statistical Combination of Diagnostic Tests
Description: A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <http://biosoft.erciyes.edu.tr/app/dtComb> website for more information, documentation, and examples.
Version: 1.0.1
URL: https://github.com/gokmenzararsiz/dtComb
Language: en-US
Depends: R (>= 3.5.0)
Imports: pROC (>= 1.18.0), caret, epiR, gam, ggplot2, ggpubr, glmnet, OptimalCutpoints
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-23 15:23:06 UTC; serrailaydayerlitas
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Author: Serra Ilayda Yerlitas [aut, ctb], Serra Bersan Gengec [aut, ctb], Necla Kochan [aut, ctb], Gozde Erturk Zararsiz [aut, ctb], Selcuk Korkmaz [aut, ctb], Gokmen Zararsiz [aut, ctb, cre]
Maintainer: Gokmen Zararsiz <gokmen.zararsiz@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-24 16:02:51 UTC

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New package causalBatch with initial version 1.0
Package: causalBatch
Title: Causal Batch Effects
Version: 1.0
Date: 2024-01-21
Maintainer: Eric W. Bridgeford <ericwb95@gmail.com>
Description: Software for using causal techniques to detect and correct for group/batch effects in high-dimensional scientific data sets, as-described in our manuscripts Bridgeford et al. (2024) <doi:10.1101/2021.09.03.458920> and Bridgeford et al. (2023) <arXiv:2307.13868>. Also provides a number of useful utilities for generating simulations and balancing covariates across multiple groups/batches of data.
Depends: R (>= 4.2.0)
Imports: cdcsis, sva, MatchIt, nnet, dplyr, magrittr
URL: https://github.com/neurodata/causal_batch
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: tidyr, knitr, rmarkdown, parallel, testthat (>= 3.0.0), covr, roxygen2, ks, ggplot2
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-01-24 09:08:14 UTC; eric
Author: Eric W. Bridgeford [aut, cre], Michael Powell [ctb], Brian Caffo [ctb], Joshua T. Vogelstein [ctb]
Repository: CRAN
Date/Publication: 2024-01-24 16:02:55 UTC

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Package backbone updated to version 2.1.3 with previous version 2.1.2 dated 2023-02-13

Title: Extracts the Backbone from Graphs
Description: An implementation of methods for extracting an unweighted unipartite graph (i.e. a backbone) from an unweighted unipartite graph, a weighted unipartite graph, the projection of an unweighted bipartite graph, or the projection of a weighted bipartite graph (Neal, 2022 <doi:10.1371/journal.pone.0269137>).
Author: Zachary Neal [aut, cre] , Rachel Domagalski [aut], Bruce Sagan [ctb], Karl Godard [ctb]
Maintainer: Zachary Neal <zpneal@msu.edu>

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Package TDA updated to version 1.9.1 with previous version 1.9 dated 2023-02-04

Title: Statistical Tools for Topological Data Analysis
Description: Tools for the statistical analysis of persistent homology and for density clustering. For that, this package provides an R interface for the efficient algorithms of the C++ libraries 'GUDHI' <https://project.inria.fr/gudhi/software/>, 'Dionysus' <https://www.mrzv.org/software/dionysus/>, and 'PHAT' <https://bitbucket.org/phat-code/phat/>. This package also implements the methods in Fasy et al. (2014) <doi:10.1214/14-AOS1252> and Chazal et al. (2014) <doi:10.1145/2582112.2582128> for analyzing the statistical significance of persistent homology features.
Author: Brittany T. Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria, David L. Millman, Vincent Rouvreau.
Maintainer: Jisu Kim <jkim82133@snu.ac.kr>

Diff between TDA versions 1.9 dated 2023-02-04 and 1.9.1 dated 2024-01-24

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New package texPreview with initial version 2.1.0
Package: texPreview
Title: Compile and Preview Snippets of 'LaTeX'
Version: 2.1.0
Date: 2024-01-23
Maintainer: Jonathan Sidi <yonicd@gmail.com>
Description: Compile snippets of 'LaTeX' directly into images from the R console to view in the 'RStudio' viewer pane, Shiny apps and 'RMarkdown' documents.
URL: https://github.com/yonicd/texPreview
BugReports: https://github.com/yonicd/texPreview/issues
Depends: R (>= 4.0.0)
Imports: base64enc, details, fs, htmltools, knitr, magick, rematch2, rstudioapi, svgPanZoom, utils, whisker, xml2, tinytex
Suggests: covr, kableExtra, nlme, pdftools, rmarkdown, shiny, testthat, texreg, xtable
VignetteBuilder: knitr
NeedsCompilation: no
License: MIT + file LICENSE
Encoding: UTF-8
Packaged: 2024-01-24 15:03:59 UTC; yonis
Author: Jonathan Sidi [aut, cre], Daniel Polhamus [aut]
Repository: CRAN
Date/Publication: 2024-01-24 15:50:02 UTC

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Package RApiDatetime updated to version 0.0.9 with previous version 0.0.8 dated 2023-01-14

Title: R API for 'Date' and 'Datetime'
Description: Access to the C-level R date and 'datetime' code is provided for C-level API use by other packages via registration of native functions. Client packages simply include a single header 'RApiDatetime.h' provided by this package, and also 'import' it. The R Core group is the original author of the code made available with slight modifications by this package.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RApiDatetime versions 0.0.8 dated 2023-01-14 and 0.0.9 dated 2024-01-24

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Package MHD updated to version 0.1.2 with previous version 0.1.1 dated 2023-04-24

Title: Metric Halfspace Depth
Description: Metric halfspace depth for object data, generalizing Tukey's depth for Euclidean data. Implementing the method described in Dai and Lopez-Pintado (2022) <doi:10.1080/01621459.2021.2011298>.
Author: Xiongtao Dai [aut, cre]
Maintainer: Xiongtao Dai <xiongtao.dai@hotmail.com>

Diff between MHD versions 0.1.1 dated 2023-04-24 and 0.1.2 dated 2024-01-24

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Package MazamaLocationUtils updated to version 0.4.3 with previous version 0.4.1 dated 2023-10-30

Title: Manage Spatial Metadata for Known Locations
Description: Utility functions for discovering and managing metadata associated with spatially unique "known locations". Applications include all fields of environmental monitoring (e.g. air and water quality) where data are collected at stationary sites.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Oliver Fogelin [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaLocationUtils versions 0.4.1 dated 2023-10-30 and 0.4.3 dated 2024-01-24

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Package LEGIT updated to version 1.4.1 with previous version 1.4.0 dated 2022-01-11

Title: Latent Environmental & Genetic InTeraction (LEGIT) Model
Description: Constructs genotype x environment interaction (GxE) models where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score) using the alternating optimization algorithm by Jolicoeur-Martineau et al. (2017) <arXiv:1703.08111>. This approach has greatly enhanced predictive power over traditional GxE models which include only a single genetic variant and a single environmental exposure. Although this approach was originally made for GxE modelling, it is flexible and does not require the use of genetic and environmental variables. It can also handle more than 2 latent variables (rather than just G and E) and 3-way interactions or more. The LEGIT model produces highly interpretable results and is very parameter-efficient thus it can even be used with small sample sizes (n < 250). Tools to determine the type of interaction (vantage sensitivity, diathesis-stress or differential susceptibility), with any number of genetic vari [...truncated...]
Author: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Maintainer: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>

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Package kisopenapi updated to version 0.0.2 with previous version 0.0.1 dated 2024-01-24

Title: Korea Investment & Securities (KIS) Open Trading API
Description: API Wrapper to use Korea Investment & Securities (KIS) trading system that provides various financial services like stock price check, orders and balance check <https://apiportal.koreainvestment.com/>.
Author: Seokhoon Joo [aut, cre]
Maintainer: Seokhoon Joo <seokhoonj@gmail.com>

Diff between kisopenapi versions 0.0.1 dated 2024-01-24 and 0.0.2 dated 2024-01-24

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Package ggdag updated to version 0.2.11 with previous version 0.2.10 dated 2023-05-28

Title: Analyze and Create Elegant Directed Acyclic Graphs
Description: Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses the 'DAGitty' web tool (<https://dagitty.net/>) for creating and analyzing DAGs. 'ggdag' makes it easy to tidy and plot 'dagitty' objects using 'ggplot2' and 'ggraph', as well as common analytic and graphical functions, such as determining adjustment sets and node relationships.
Author: Malcolm Barrett [aut, cre]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

Diff between ggdag versions 0.2.10 dated 2023-05-28 and 0.2.11 dated 2024-01-24

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 R/adjustment_sets.R                                                                     |   25 
 R/as_tbl_graph.R                                                                        |    5 
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 man/figures/logo.png                                                                    |only
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 man/quick_plot.Rd                                                                       |    2 
 man/status.Rd                                                                           |    2 
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Package fastcpd updated to version 0.10.3 with previous version 0.10.1 dated 2024-01-09

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph], Trisha Dawn [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>

Diff between fastcpd versions 0.10.1 dated 2024-01-09 and 0.10.3 dated 2024-01-24

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Permanent link

New package bSi with initial version 1.0.0
Package: bSi
Title: Modeling and Computing Biogenic Silica ('bSi') from Inland and Pelagic Sediments
Version: 1.0.0
Description: A collection of integrated tools designed to seamlessly interact with each other for the analysis of biogenic silica 'bSi' in inland and marine sediments. These tools share common data representations and follow a consistent 'API' design. The primary goal of the 'bSi' package is to simplify the installation process, facilitate data loading, and enable the analysis of multiple samples for biogenic silica fluxes. This package is designed to enhance the efficiency and coherence of the entire 'bSi' analytic workflow, from data loading to model construction and visualization tailored towards reconstructing productivity in aquatic ecosystems.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, ggpubr
Depends: cowplot, tidyr, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-24 00:21:50 UTC; jijo
Author: George Okoko [aut, cre], Rogers Owit [ctb]
Maintainer: George Okoko <goo2112@columbia.edu>
Repository: CRAN
Date/Publication: 2024-01-24 15:52:57 UTC

More information about bSi at CRAN
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Package breathtestcore updated to version 0.8.7 with previous version 0.8.6 dated 2023-02-13

Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description: Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on github.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], Andreas Steingoetter [dtc], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package BayesFactor updated to version 0.9.12-4.7 with previous version 0.9.12-4.6 dated 2023-12-01

Title: Computation of Bayes Factors for Common Designs
Description: A suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.
Author: Richard D. Morey [aut, cre, cph], Jeffrey N. Rouder [aut], Tahira Jamil [ctb, cph], Simon Urbanek [ctb, cph], Karl Forner [ctb, cph], Alexander Ly [ctb, cph]
Maintainer: Richard D. Morey <richarddmorey@gmail.com>

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Package weird updated to version 1.0.2 with previous version 1.0.0 dated 2024-01-12

Title: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman
Description: All functions and data sets required for the examples in the book Hyndman (2024) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.
Author: Rob Hyndman [aut, cre, cph] , RStudio [cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package voluModel updated to version 0.2.1 with previous version 0.2.0 dated 2023-04-11

Title: Modeling Species Distributions in Three Dimensions
Description: Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
Author: Hannah L. Owens [aut, cre] , Carsten Rahbek [aut]
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

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Package tidyr updated to version 1.3.1 with previous version 1.3.0 dated 2023-01-24

Title: Tidy Messy Data
Description: Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
Author: Hadley Wickham [aut, cre], Davis Vaughan [aut], Maximilian Girlich [aut], Kevin Ushey [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package scGOclust updated to version 0.2.1 with previous version 0.2.0 dated 2023-11-30

Title: Measuring Cell Type Similarity with Gene Ontology in Single-Cell RNA-Seq
Description: Traditional methods for analyzing single cell RNA-seq datasets focus solely on gene expression, but this package introduces a novel approach that goes beyond this limitation. Using Gene Ontology terms as features, the package allows for the functional profile of cell populations, and comparison within and between datasets from the same or different species. Our approach enables the discovery of previously unrecognized functional similarities and differences between cell types and has demonstrated success in identifying cell types' functional correspondence even between evolutionarily distant species.
Author: Yuyao Song [aut, cre, ctb], Irene Papatheodorou [aut, ths]
Maintainer: Yuyao Song <ysong@ebi.ac.uk>

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Package rubias updated to version 0.3.4 with previous version 0.3.3 dated 2022-02-09

Title: Bayesian Inference from the Conditional Genetic Stock Identification Model
Description: Implements Bayesian inference for the conditional genetic stock identification model. It allows inference of mixed fisheries and also simulation of mixtures to predict accuracy. A full description of the underlying methods is available in a recently published article in the Canadian Journal of Fisheries and Aquatic Sciences: <doi:10.1139/cjfas-2018-0016>.
Author: Eric C. Anderson [aut, cre], Ben Moran [aut]
Maintainer: Eric C. Anderson <eric.anderson@noaa.gov>

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Package qlifetable updated to version 0.0.2-4 with previous version 0.0.1-15 dated 2023-04-19

Title: Managing and Building of Quarterly Life Tables
Description: Manages, builds and computes statistics and datasets for the construction of quarterly (sub-annual) life tables by exploiting micro-data from either a general or an insured population. References: Pavía and Lledó (2022) <doi:10.1111/rssa.12769>. Pavía and Lledó (2023) <doi:10.1017/asb.2023.16>. Acknowledgements: The authors wish to thank Consellería de Educación, Universidades y Empleo, Generalitat Valenciana (grant AICO/2021/257), Ministerio de Economía e Innovación (grant PID2021-128228NB-I00) and Fundación Mapfre (grant 'Modelización espacial e intra-anual de la mortalidad en España. Una herramienta automática para el cálculo de productos de vida') for supporting this research.
Author: Jose M. Pavia [aut, cre] , Josep Lledo [aut]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Package nortsTest updated to version 1.1.1 with previous version 1.1.0 dated 2024-01-16

Title: Assessing Normality of Stationary Process
Description: Despite that several tests for normality in stationary processes have been proposed in the literature, consistent implementations of these tests in programming languages are limited. Seven normality test are implemented. The asymptotic Lobato & Velasco's, asymptotic Epps, Psaradakis and Vávra, Lobato & Velasco's and Epps sieve bootstrap approximations, El bouch et al., and the random projections tests for univariate stationary process. Some other diagnostics such as, unit root test for stationarity, seasonal tests for seasonality, and arch effect test for volatility; are also performed. Additionally, the El bouch test performs normality tests for bivariate time series. The package also offers residual diagnostic for linear time series models developed in several packages.
Author: Asael Alonzo Matamoros [aut, cre], Alicia Nieto-Reyes [aut], Rob Hyndman [ctb], Mitchell O'Hara-Wild [ctb], Trapletti A. [ctb]
Maintainer: Asael Alonzo Matamoros <asael.alonzo@gmail.com>

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New package nn2poly with initial version 0.1.0
Package: nn2poly
Title: Neural Network Weights Transformation into Polynomial Coefficients
Version: 0.1.0
Description: Implements a method that builds the coefficients of a polynomial model that performs almost equivalently as a given neural network (densely connected). This is achieved using Taylor expansion at the activation functions. The obtained polynomial coefficients can be used to explain features (and their interactions) importance in the neural network, therefore working as a tool for interpretability or eXplainable Artificial Intelligence (XAI). See Morala et al. 2021 <doi:10.1016/j.neunet.2021.04.036>, and 2023 <doi:10.1109/TNNLS.2023.3330328>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp, generics, matrixStats, pracma
Suggests: keras, tensorflow, reticulate, luz, torch, cowplot, ggplot2, patchwork, testthat (>= 3.0.0), vdiffr, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
URL: https://ibidat.github.io/nn2poly/
NeedsCompilation: yes
Packaged: 2024-01-24 11:53:49 UTC; pablo
Author: Pablo Morala [aut, cre] , Inaki Ucar [aut] , Jose Ignacio Diez [ctr]
Maintainer: Pablo Morala <moralapablo@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-24 14:50:14 UTC

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Package mccca updated to version 1.1.0.1 with previous version 1.1.0 dated 2022-11-28

Title: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data
Description: Performing multiple-class cluster correspondence analysis(MCCCA). The main functions are create.MCCCAdata() to create a list to be applied to MCCCA, MCCCA() to apply MCCCA, and plot.mccca() for visualizing MCCCA result. Methods used in the package refers to Mariko Takagishi and Michel van de Velden (2022)<doi:10.1080/10618600.2022.2035737>.
Author: Mariko Takagishi [aut, cre]
Maintainer: Mariko Takagishi <m.takagishi0728@gmail.com>

Diff between mccca versions 1.1.0 dated 2022-11-28 and 1.1.0.1 dated 2024-01-24

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Package kableExtra updated to version 1.4.0 with previous version 1.3.4 dated 2021-02-20

Title: Construct Complex Table with 'kable' and Pipe Syntax
Description: Build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax.
Author: Hao Zhu [aut, cre] , Thomas Travison [ctb], Timothy Tsai [ctb], Will Beasley [ctb], Yihui Xie [ctb], GuangChuang Yu [ctb], Stephane Laurent [ctb], Rob Shepherd [ctb], Yoni Sidi [ctb], Brian Salzer [ctb], George Gui [ctb], Yeliang Fan [ctb], Duncan Mu [...truncated...]
Maintainer: Hao Zhu <haozhu233@gmail.com>

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Package GGIRread updated to version 0.3.3 with previous version 0.3.2 dated 2023-12-05

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package CSIndicators updated to version 1.1.1 with previous version 1.1.0 dated 2023-11-20

Title: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
Description: Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, ...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in 'Pérez-Zanón et al. (2023) <doi:10.1016/j.cliser.2023.100393>' and it was developed in the context of 'H2020 MED-GOLD' (776467) and 'S2S4E' (776787) projects. See 'Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.13 [...truncated...]
Author: Victoria Agudetse [cre], Eva Rifa [ctb], Nuria Perez-Zanon [aut] , Chou Chihchung [aut], Llorenc Lledo [aut], Gonzalez-Reviriego Nube [ctb], Marcos Rauel [ctb], Palma Lluis [ctb], An-Chi Ho [ctb], BSC-CNS [cph]
Maintainer: Victoria Agudetse <victoria.agudetse@bsc.es>

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Package convdistr updated to version 1.6.1 with previous version 1.5.3 dated 2021-04-20

Title: Convolute Probabilistic Distributions
Description: Convolute probabilistic distributions using the random generator function of each distribution. A new random number generator function is created that perform the mathematical operation on the individual random samples from the random generator function of each distribution. See the documentation for examples.
Author: Aponte John [aut, cre]
Maintainer: Aponte John <john.j.aponte@gmail.com>

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Package causalweight updated to version 1.1.0 with previous version 1.0.4 dated 2023-05-04

Title: Estimation Methods for Causal Inference Based on Inverse Probability Weighting
Description: Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average treatment effects, direct and indirect effects in causal mediation analysis, and dynamic treatment effects. The models refer to studies of Froelich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, Froelich and Huber (2017) <doi:10.1111/rssb.12232>, Hsu, Huber, Lee, and Lettry (2020) <doi:10.1002/jae.2765>, and others.
Author: Hugo Bodory [aut, cre] , Martin Huber [aut] , Jannis Kueck [aut]
Maintainer: Hugo Bodory <hugo.bodory@unisg.ch>

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Package bcmaps updated to version 2.2.0 with previous version 2.1.0 dated 2023-10-17

Title: Map Layers and Spatial Utilities for British Columbia
Description: Various layers of B.C., including administrative boundaries, natural resource management boundaries, census boundaries etc. All layers are available in BC Albers (<https://spatialreference.org/ref/epsg/3005/>) equal-area projection, which is the B.C. government standard. The layers are sourced from the British Columbia and Canadian government under open licenses, including B.C. Data Catalogue (<https://data.gov.bc.ca>), the Government of Canada Open Data Portal (<https://open.canada.ca/en/using-open-data>), and Statistics Canada (<https://www.statcan.gc.ca/en/reference/licence>).
Author: Andy Teucher [aut, cre] , Sam Albers [aut, ctb] , Stephanie Hazlitt [aut, ctb] , Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

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Package bartcs updated to version 1.2.1 with previous version 1.2.0 dated 2023-05-27

Title: Bayesian Additive Regression Trees for Confounder Selection
Description: Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>

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Package arf updated to version 0.2.0 with previous version 0.1.3 dated 2023-02-06

Title: Adversarial Random Forests
Description: Adversarial random forests (ARFs) recursively partition data into fully factorized leaves, where features are jointly independent. The procedure is iterative, with alternating rounds of generation and discrimination. Data becomes increasingly realistic at each round, until original and synthetic samples can no longer be reliably distinguished. This is useful for several unsupervised learning tasks, such as density estimation and data synthesis. Methods for both are implemented in this package. ARFs naturally handle unstructured data with mixed continuous and categorical covariates. They inherit many of the benefits of random forests, including speed, flexibility, and solid performance with default parameters. For details, see Watson et al. (2022) <arXiv:2205.09435>.
Author: Marvin N. Wright [aut, cre] , David S. Watson [aut] , Kristin Blesch [aut] , Jan Kapar [aut]
Maintainer: Marvin N. Wright <cran@wrig.de>

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Package TrialEmulation updated to version 0.0.3.8 with previous version 0.0.3.2 dated 2023-08-25

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

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Package qlcal updated to version 0.0.10 with previous version 0.0.9 dated 2023-11-29

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel; the authors and contributors of QuantLib
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package multinma updated to version 0.6.0 with previous version 0.5.1 dated 2023-05-24

Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
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'.
Author: David M. Phillippo [aut, cre]
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>

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Package familiar updated to version 1.4.6 with previous version 1.4.1 dated 2022-12-17

Title: End-to-End Automated Machine Learning and Model Evaluation
Description: Single unified interface for end-to-end modelling of regression, categorical and time-to-event (survival) outcomes. Models created using familiar are self-containing, and their use does not require additional information such as baseline survival, feature clustering, or feature transformation and normalisation parameters. Model performance, calibration, risk group stratification, (permutation) variable importance, individual conditional expectation, partial dependence, and more, are assessed automatically as part of the evaluation process and exported in tabular format and plotted, and may also be computed manually using export and plot functions. Where possible, metrics and values obtained during the evaluation process come with confidence intervals.
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], Stefan Leger [ctb], Iram Shahzadi [ctb], Asier Rabasco Meneghetti [ctb], Sebastian Starke [ctb], Technische Universitaet Dresden [cph], German Cancer Research Center [cph]
Maintainer: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>

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Package ConsRank updated to version 2.1.4 with previous version 2.1.3 dated 2023-03-23

Title: Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach
Description: Compute the median ranking according to the Kemeny's axiomatic approach. Rankings can or cannot contain ties, rankings can be both complete or incomplete. The package contains both branch-and-bound algorithms and heuristic solutions recently proposed. The searching space of the solution can either be restricted to the universe of the permutations or unrestricted to all possible ties. The package also provide some useful utilities for deal with preference rankings, including both element-weight Kemeny distance and correlation coefficient. This release declare as deprecated some functions that are still in the package for compatibility. Next release will not contains these functions. Please type '?ConsRank-deprecated' Essential references: Emond, E.J., and Mason, D.W. (2002) <doi:10.1002/mcda.313>; D'Ambrosio, A., Amodio, S., and Iorio, C. (2015) <doi:10.1285/i20705948v8n2p198>; Amodio, S., D'Ambrosio, A., and Siciliano R. (2016) <doi:10.1016/j.ejor.2015.08.048>; D'Ambr [...truncated...]
Author: Antonio D'Ambrosio [aut, cre], Sonia Amodio [ctb], Giulio Mazzeo [ctb], Alessandro Albano [ctb], Antonella Plaia [ctb]
Maintainer: Antonio D'Ambrosio <antdambr@unina.it>

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Package logitnorm updated to version 0.8.39 with previous version 0.8.38 dated 2021-01-07

Title: Functions for the Logitnormal Distribution
Description: Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters.
Author: Thomas Wutzler
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

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Package OPI updated to version 2.11.2 with previous version 2.11.1 dated 2023-11-06

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 with partial implementations on the Centervue Compass, Kowa AP 7000, Android phones and the CrewT IMO. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin [cre, aut, cph], David Lawson [ctb, cph], Matthias Muller [ctb], Jonathan Dennis [ctb, cph], Astrid Zeman [ctb], Ivan Marin-Franch [ctb]
Maintainer: Andrew Turpin <andrew.turpin@lei.org.au>

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Package MiRSEA updated to version 1.1.1 with previous version 1.1 dated 2015-07-01

Title: 'MicroRNA' Set Enrichment Analysis
Description: The tools for 'MicroRNA Set Enrichment Analysis' can identify risk pathways(or prior gene sets) regulated by microRNA set in the context of microRNA expression data. (1) This package constructs a correlation profile of microRNA and pathways by the hypergeometric statistic test. The gene sets of pathways derived from the three public databases (Kyoto Encyclopedia of Genes and Genomes ('KEGG'); 'Reactome'; 'Biocarta') and the target gene sets of microRNA are provided by four databases('TarBaseV6.0'; 'mir2Disease'; 'miRecords'; 'miRTarBase';). (2) This package can quantify the change of correlation between microRNA for each pathway(or prior gene set) based on a microRNA expression data with cases and controls. (3) This package uses the weighted Kolmogorov-Smirnov statistic to calculate an enrichment score (ES) of a microRNA set that co-regulate to a pathway , which reflects the degree to which a given pathway is associated with the specific phenotype. (4) This package can provide the visu [...truncated...]
Author: Junwei Han, Siyao Liu
Maintainer: Junwei Han <hanjunwei1981@163.com>

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Package knotR updated to version 1.0-4 with previous version 1.0-2 dated 2017-05-26

Title: Knot Diagrams using Bezier Curves
Description: Makes visually pleasing diagrams of knot projections using optimized Bezier curves.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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More information about knotR at CRAN
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New package kisopenapi with initial version 0.0.1
Package: kisopenapi
Title: Korea Investment & Securities (KIS) Open Trading API
Version: 0.0.1
Description: API Wrapper to use Korea Investment & Securities (KIS) trading system that provides various financial services like stock price check, orders and balance check <https://apiportal.koreainvestment.com/>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: cli (>= 3.3.0), data.table (>= 1.14.2), httr2 (>= 0.2.2), jsonlite (>= 1.8.0)
NeedsCompilation: no
Packaged: 2024-01-23 15:13:37 UTC; seokhoonj
Author: Seokhoon Joo [aut, cre]
Maintainer: Seokhoon Joo <seokhoonj@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-24 08:30:02 UTC

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Package pgirmess updated to version 2.0.3 with previous version 2.0.2 dated 2023-04-07

Title: Spatial Analysis and Data Mining for Field Ecologists
Description: Set of tools for reading, writing and transforming spatial and seasonal data, model selection and specific statistical tests for ecologists. It includes functions to interpolate regular positions of points between landmarks, to discretize polylines into regular point positions, link distant observations to points and convert a bounding box in a spatial object. It also provides miscellaneous functions for field ecologists such as spatial statistics and inference on diversity indexes, writing data.frame with Chinese characters.
Author: Patrick Giraudoux [aut, cre] , Jean-Philippe Antonietti [ctb], Colin Beale [ctb], Ulrike Groemping [ctb], Renaud Lancelot [ctb], David Pleydell [ctb], Mike Treglia [ctb]
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>

Diff between pgirmess versions 2.0.2 dated 2023-04-07 and 2.0.3 dated 2024-01-24

 DESCRIPTION          |   11 +++++------
 MD5                  |   16 ++++++++--------
 data/preybiom.rda    |binary
 data/siegelp179.rda  |binary
 man/dirProj.rd       |    2 +-
 man/dirSeg.rd        |    2 +-
 man/mergeTrackObs.rd |    9 +++++----
 man/pave.rd          |    2 +-
 man/selMod.rd        |   29 ++++++++++++++---------------
 9 files changed, 35 insertions(+), 36 deletions(-)

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Package survivalSL (with last version 0.91) was removed from CRAN

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

2023-06-25 0.91

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Package g3viz (with last version 1.1.5) was removed from CRAN

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

2022-08-19 1.1.5

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Package CovRegRF (with last version 1.0.5) was removed from CRAN

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

2023-12-06 1.0.5
2023-09-22 1.0.4

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Package RISCA (with last version 1.0.4) was removed from CRAN

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

2023-03-22 1.0.4
2022-11-21 1.0.3
2022-05-02 1.0.1
2020-11-18 0.9
2020-04-04 0.8.2
2020-03-31 0.8.1
2019-08-05 0.8

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Package httpgd (with last version 1.3.1) was removed from CRAN

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2023-01-30 1.3.1

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Package pxweb (with last version 0.16.2) was removed from CRAN

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

2022-10-31 0.16.2
2022-08-24 0.16.1
2022-07-01 0.15.1
2022-03-11 0.13.1
2021-10-09 0.12.0
2021-07-08 0.11.0
2021-02-24 0.10.4
2019-01-07 0.9.1
2018-12-17 0.8.3
2018-06-12 0.6.37

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Package PxWebApiData (with last version 0.8.0) was removed from CRAN

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

2023-03-26 0.8.0
2021-10-11 0.7.0
2021-07-18 0.6.0
2021-03-05 0.5.0
2020-11-20 0.4.0
2019-04-11 0.3.0
2018-10-12 0.2.0
2018-06-06 0.1.0

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Package BFS (with last version 0.5.6) was removed from CRAN

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2024-01-08 0.5.6
2023-09-20 0.5.5
2023-09-13 0.5.4
2023-08-18 0.5.3
2023-08-11 0.5.2
2023-06-08 0.5
2023-06-08 0.5.1
2023-05-31 0.4.8
2023-05-19 0.4.7
2023-03-30 0.4.6
2023-02-27 0.4.5
2022-12-14 0.4.4
2022-09-07 0.4.3

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Package mosaicCalc (with last version 0.6.0) was removed from CRAN

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2022-09-14 0.6.0
2020-05-07 0.5.1

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Package R.huge updated to version 0.10.1 with previous version 0.10.0 dated 2023-06-24

Title: Methods for Accessing Huge Amounts of Data [deprecated]
Description: DEPRECATED. Do not start building new projects based on this package. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), BufferedMatrix (Bioconductor). The main usage of it was inside the aroma.affymetrix package. (The package currently provides a class representing a matrix where the actual data is stored in a binary format on the local file system. This way the size limit of the data is set by the file system and not the memory.)
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.huge versions 0.10.0 dated 2023-06-24 and 0.10.1 dated 2024-01-24

 DESCRIPTION                                   |    6 -
 MD5                                           |   12 +-
 NEWS.md                                       |  135 +++++++++++++-------------
 R/AbstractFileArray.R                         |   10 -
 man/dimnames.AbstractFileArray.Rd             |    4 
 man/length.AbstractFileArray.Rd               |    4 
 man/readContiguousValues.AbstractFileArray.Rd |    2 
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Package R.oo updated to version 1.26.0 with previous version 1.25.0 dated 2022-06-11

Title: R Object-Oriented Programming with or without References
Description: Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.oo versions 1.25.0 dated 2022-06-11 and 1.26.0 dated 2024-01-24

 DESCRIPTION             |    8 +-
 MD5                     |   20 +++----
 NEWS.md                 |   19 ++++++
 R/060.Class.R           |    4 -
 R/hashCode.R            |   12 ++--
 inst/CITATION           |   57 +++++++++-----------
 man/DOLLAR.Class.Rd     |    1 
 man/DOLLARLT_-.Class.Rd |    1 
 man/getMethods.Class.Rd |    2 
 man/hashCode.Rd         |    2 
 tests/hashCode.R        |  134 ++++++++++++++++++++++++++++++++++++++++++++----
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Package projmgr updated to version 0.1.1 with previous version 0.1.0 dated 2019-08-05

Title: Task Tracking and Project Management with GitHub
Description: Provides programmatic access to 'GitHub' API with a focus on project management. Key functionality includes setting up issues and milestones from R objects or 'YAML' configurations, querying outstanding or completed tasks, and generating progress updates in tables, charts, and RMarkdown reports. Useful for those using 'GitHub' in personal, professional, or academic settings with an emphasis on streamlining the workflow of data analysis projects.
Author: Emily Riederer [cre, aut]
Maintainer: Emily Riederer <emilyriederer@gmail.com>

Diff between projmgr versions 0.1.0 dated 2019-08-05 and 0.1.1 dated 2024-01-24

 DESCRIPTION                      |    9 +-
 MD5                              |  119 +++++++++++++++++++--------------------
 NAMESPACE                        |    2 
 NEWS.md                          |   15 ++++
 R/api-engine.R                   |   15 ++--
 R/browse.R                       |   18 ++---
 R/check.R                        |    4 -
 R/get.R                          |   30 ++++++++-
 R/help.R                         |   16 ++++-
 R/listcol.R                      |   18 ++---
 R/parse.R                        |   87 ++++++++++++++--------------
 R/plan-todo.R                    |   24 +++----
 R/post.R                         |   42 +++++++++++++
 R/projmgr.R                      |    5 -
 R/repo-ref.R                     |   10 +--
 R/report-taskboard.R             |    4 -
 R/report.R                       |   30 ++++-----
 R/taskboard-helpers.R            |   10 +--
 R/utils.R                        |    2 
 R/viz-gantt.R                    |   20 +++---
 R/viz-taskboard.R                |   12 +--
 R/viz-waterfall.R                |   18 ++---
 man/browse_docs.Rd               |    6 +
 man/check_credentials.Rd         |    2 
 man/check_internet.Rd            |    3 
 man/check_rate_limit.Rd          |    3 
 man/create_repo_ref.Rd           |    9 ++
 man/get_issue_comments.Rd        |   24 ++++---
 man/get_issue_events.Rd          |   35 ++++++++---
 man/get_issues.Rd                |   19 +++---
 man/get_milestones.Rd            |    5 -
 man/get_repo_labels.Rd           |    3 
 man/help.Rd                      |    3 
 man/listcol_extract.Rd           |    5 -
 man/listcol_pivot.Rd             |   11 ++-
 man/parse_issue_comments.Rd      |   23 ++++---
 man/parse_issue_events.Rd        |   31 +++++-----
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 man/parse_milestones.Rd          |    5 -
 man/parse_repo_labels.Rd         |    3 
 man/pipe.Rd                      |    2 
 man/post_issue.Rd                |   21 +++---
 man/post_issue_update.Rd         |only
 man/post_milestone.Rd            |    5 -
 man/post_plan.Rd                 |   11 ++-
 man/post_todo.Rd                 |   11 ++-
 man/projmgr.Rd                   |    2 
 man/read_plan.Rd                 |   11 ++-
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 man/report_discussion.Rd         |   27 +++++---
 man/report_plan.Rd               |   15 ++--
 man/report_progress.Rd           |   31 ++++++----
 man/report_taskboard.Rd          |   15 +++-
 man/report_todo.Rd               |   15 ++--
 man/taskboard_helpers.Rd         |   18 ++---
 man/template_yaml.Rd             |   11 ++-
 man/validate_inputs.Rd           |    2 
 man/viz_gantt.Rd                 |    3 
 man/viz_taskboard.Rd             |    9 +-
 man/viz_waterfall.Rd             |   35 +++++++----
 tests/testthat/test-tb-helpers.R |    1 
 61 files changed, 586 insertions(+), 391 deletions(-)

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