Tue, 09 Aug 2022

Package EviewsR updated to version 0.1.3 with previous version 0.1.2 dated 2022-05-01

Title: A Seamless Integration of 'Eviews' and R
Description: It allows running 'EViews'(<https://eviews.com>) program from R, R Markdown and Quarto documents. 'EViews' (Econometric Views) is a statistical software for Econometric analysis. This package integrates 'EViews' and R and also serves as an 'EViews' Knit-Engine for 'knitr' package. Write all your 'EViews' commands in R, R Markdown or Quarto documents.
Author: Sagiru Mati [aut, cre]
Maintainer: Sagiru Mati <smati@smati.com.ng>

Diff between EviewsR versions 0.1.2 dated 2022-05-01 and 0.1.3 dated 2022-08-09

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Package codebookr updated to version 0.1.5 with previous version 0.1.4 dated 2022-07-18

Title: Create Codebooks from Data Frames
Description: Quickly and easily create codebooks (i.e. data dictionaries) directly from a data frame.
Author: Brad Cannell [aut, cre, cph]
Maintainer: Brad Cannell <brad.cannell@gmail.com>

Diff between codebookr versions 0.1.4 dated 2022-07-18 and 0.1.5 dated 2022-08-09

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Package qs updated to version 0.25.4 with previous version 0.25.3 dated 2022-02-22

Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Romain Francois [ctb, cph] , Francesc Alted [ctb, cph] , Bryce Chamberlain [ctb] , Sal [...truncated...]
Maintainer: Travers Ching <traversc@gmail.com>

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Package xaringan updated to version 0.26 with previous version 0.25 dated 2022-06-13

Title: Presentation Ninja
Description: Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<https://remarkjs.com>).
Author: Yihui Xie [aut, cre] , Alessandro Gasparini [ctb] , Benjie Gillam [ctb], Claus Thorn Ekstroem [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Deo Salil [ctb], Emi Tanaka [ctb], Garrick Aden-Buie [ctb] , Inaki Ucar [ctb] , John Little [ctb], Joselyn Ch [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xaringan versions 0.25 dated 2022-06-13 and 0.26 dated 2022-08-09

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Package rintrojs updated to version 0.3.2 with previous version 0.3.0 dated 2021-06-06

Title: Wrapper for the 'Intro.js' Library
Description: A wrapper for the 'Intro.js' library (For more info: <https://introjs.com/>). This package makes it easy to include step-by-step introductions, and clickable hints in a 'Shiny' application. It supports both static introductions in the UI, and programmatic introductions from the server-side.
Author: Carl Ganz [aut, cre], Afshin Mehrabani [ctb, cph]
Maintainer: Carl Ganz <carlganz@gmail.com>

Diff between rintrojs versions 0.3.0 dated 2021-06-06 and 0.3.2 dated 2022-08-09

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Package html5 updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-22

Title: Creates Valid HTML5 Strings
Description: Generates valid HTML tag strings for HTML5 elements documented by Mozilla. Attributes are passed as named lists, with names being the attribute name and values being the attribute value. Attribute values are automatically double-quoted. To declare a DOCTYPE, wrap html() with function doctype(). Mozilla's documentation for HTML5 is available here: <https://developer.mozilla.org/en-US/docs/Web/HTML/Element>. Elements marked as obsolete are not included.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

Diff between html5 versions 1.0.0 dated 2022-06-22 and 1.0.1 dated 2022-08-09

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Package gimme updated to version 0.7-8 with previous version 0.7-7 dated 2021-10-18

Title: Group Iterative Multiple Model Estimation
Description: Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Author: Stephanie Lane [aut, trl], Kathleen Gates [aut, cre, ccp], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut, ccp], Michael Hallquist [ctb], Hallie Pike [ctb], Teague Henry [ctb], Kelly Duffy [ctb], Lan Luo [ctb], Adriene Beltz [csp], A [...truncated...]
Maintainer: Kathleen M Gates <gateskm@email.unc.edu>

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Package DT updated to version 0.24 with previous version 0.23 dated 2022-05-10

Title: A Wrapper of the JavaScript Library 'DataTables'
Description: Data objects in R can be rendered as HTML tables using the JavaScript library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables' library has been included in this R package. The package name 'DT' is an abbreviation of 'DataTables'.
Author: Yihui Xie [aut, cre], Joe Cheng [aut], Xianying Tan [aut], JJ Allaire [ctb], Maximilian Girlich [ctb], Greg Freedman Ellis [ctb], Johannes Rauh [ctb], SpryMedia Limited [ctb, cph] , Brian Reavis [ctb, cph] , Leon Gersen [ctb, cph] , Bartek Szopka [ct [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package Rbeast updated to version 0.9.5 with previous version 0.9.4 dated 2022-05-18

Title: Bayesian Change-Point Detection and Time Series Decomposition
Description: Interpretation of time series data is affected by model choices. Different models can give different or even contradicting estimates of patterns, trends, and mechanisms for the same data--a limitation alleviated by the Bayesian estimator of abrupt change,seasonality, and trend (BEAST) of this package. BEAST seeks to improve time series decomposition by forgoing the "single-best-model" concept and embracing all competing models into the inference via a Bayesian model averaging scheme. It is a flexible tool to uncover abrupt changes (i.e., change-points), cyclic variations (e.g., seasonality), and nonlinear trends in time-series observations. BEAST not just tells when changes occur but also quantifies how likely the detected changes are true. It detects not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is applicable to real-valued time series data of all kinds, be it for remote sensing, economics, climate sciences, ecology, and hydrology. Example applications include its use to identify regime shifts in ecological data, map forest disturbance and land degradation from satellite imagery, detect market trends in economic data, pinpoint anomaly and extreme events in climate data, and unravel system dynamics in biological data. Details on BEAST are reported in Zhao et al. (2019) <doi:10.1016/j.rse.2019.04.034>.
Author: Kaiguang Zhao [aut, cre], Tongxi Hu [aut], Yang Li [aut], Jack Dongarra [ctb], Cleve Moler [ctb]
Maintainer: Kaiguang Zhao <zhao.1423@osu.edu>

Diff between Rbeast versions 0.9.4 dated 2022-05-18 and 0.9.5 dated 2022-08-09

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Package populR updated to version 0.1.6 with previous version 0.1.5 dated 2022-07-11

Title: Population Downscaling
Description: Downscaling of population data obtained by census surveys using areal interpolation. Given a set of source zone polygons such as census tracts or city blocks alongside with population counts and a target zone of incogruent yet superimposed polygon features (such as individual buildings) populR transforms population counts from the former to the latter using Areal Weighting and Volume Weighting Interpolation methods.
Author: Marios Batsaris
Maintainer: Marios Batsaris <m.batsaris@aegean.gr>

Diff between populR versions 0.1.5 dated 2022-07-11 and 0.1.6 dated 2022-08-09

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Package immunarch updated to version 0.7.0 with previous version 0.6.9 dated 2022-05-30

Title: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires
Description: A comprehensive framework for bioinformatics exploratory analysis of bulk and single-cell T-cell receptor and antibody repertoires. It provides seamless data loading, analysis and visualisation for AIRR (Adaptive Immune Receptor Repertoire) data, both bulk immunosequencing (RepSeq) and single-cell sequencing (scRNAseq). Immunarch implements most of the widely used AIRR analysis methods, such as: clonality analysis, estimation of repertoire similarities in distribution of clonotypes and gene segments, repertoire diversity analysis, annotation of clonotypes using external immune receptor databases and clonotype tracking in vaccination and cancer studies. A successor to our previously published 'tcR' immunoinformatics package (Nazarov 2015) <doi:10.1186/s12859-015-0613-1>.
Author: Vadim I. Nazarov [aut, cre], Vasily O. Tsvetkov [aut], Eugene Rumynskiy [aut], Aleksandr A. Popov [aut], Ivan Balashov [aut], Maria Samokhina [aut], Anna Lorenc [ctb], Daniel J. Moore [ctb], Victor Greiff [ctb], ImmunoMind [cph, fnd]
Maintainer: Vadim I. Nazarov <support@immunomind.io>

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Package evaluate updated to version 0.16 with previous version 0.15 dated 2022-02-18

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut], Yihui Xie [aut, cre] , Michael Lawrence [ctb], Thomas Kluyver [ctb], Jeroen Ooms [ctb], Barret Schloerke [ctb], Adam Ryczkowski [ctb], Hiroaki Yutani [ctb], Michel Lang [ctb], Karolis Koncevičius [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package EpiInvert updated to version 0.2.0 with previous version 0.1.1 dated 2022-05-20

Title: Estimation of Time Varying Reproduction Numbers and Restored Incidence Curves Using Variational Techniques
Description: Estimation, by inverting a renewal equation, of time-varying reproduction numbers and restored incidence curves with festive days and weekly biases corrected as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118> and Alvarez et al. (2022) <doi:10.3390/biology11040540>. EpiInvert can manage daily incidence data and weekly aggregated incidence data. This version of the package also includes EpiInvertForecast, a learning method for the short time forecast of the restored incidence curve.
Author: Luis Alvarez [aut, cre] , Jean-David Morel [ctb] , Jean-Michel Morel [ctb]
Maintainer: Luis Alvarez <lalvarez@ulpgc.es>

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Package CMF updated to version 1.0.3 with previous version 1.0.2 dated 2020-03-13

Title: Collective Matrix Factorization
Description: Collective matrix factorization (CMF) finds joint low-rank representations for a collection of matrices with shared row or column entities. This code learns a variational Bayesian approximation for CMF, supporting multiple likelihood potentials and missing data, while identifying both factors shared by multiple matrices and factors private for each matrix. For further details on the method see Klami et al. (2014) <arXiv:1312.5921>. The package can also be used to learn Bayesian canonical correlation analysis (CCA) and group factor analysis (GFA) models, both of which are special cases of CMF. This is likely to be useful for people looking for CCA and GFA solutions supporting missing data and non-Gaussian likelihoods. See Klami et al. (2013) <https://research.cs.aalto.fi/pml/online-papers/klami13a.pdf> and Virtanen et al. (2012) <http://proceedings.mlr.press/v22/virtanen12.html> for details on Bayesian CCA and GFA, respectively.
Author: Arto Klami [aut], Lauri Vaere [aut], Felix Held [ctb, cre]
Maintainer: Felix Held <felix.held@gmail.com>

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Package bookdown updated to version 0.28 with previous version 0.27 dated 2022-06-14

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clift [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package blogdown updated to version 1.11 with previous version 1.10 dated 2022-05-10

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package Rd2roxygen updated to version 1.14 with previous version 1.13 dated 2022-03-02

Title: Convert Rd to 'Roxygen' Documentation
Description: Functions to convert Rd to 'roxygen' documentation. It can parse an Rd file to a list, create the 'roxygen' documentation and update the original R script (e.g. the one containing the definition of the function) accordingly. This package also provides utilities that can help developers build packages using 'roxygen' more easily. The 'formatR' package can be used to reformat the R code in the examples sections so that the code will be more readable.
Author: Hadley Wickham [aut], Yihui Xie [aut, cre]
Maintainer: Yihui Xie <xie@yihui.name>

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Package rqPen updated to version 3.0 with previous version 2.3 dated 2022-03-22

Title: Penalized Quantile Regression
Description: Performs penalized quantile regression with LASSO, elastic net, SCAD and MCP penalty functions including group penalties. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC.
Author: Ben Sherwood [aut, cre], Adam Maidman [ctb], Shaobo Li [ctb]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>

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Package mlr3spatiotempcv updated to version 2.0.2 with previous version 2.0.1 dated 2022-06-22

Title: Spatiotemporal Resampling Methods for 'mlr3'
Description: Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
Author: Patrick Schratz [aut, cre] , Marc Becker [aut] , Jannes Muenchow [ctb] , Michel Lang [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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 R/TaskRegrST.R                                                                    |   47 +
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 R/as_task_regr_st.R                                                               |   23 
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 R/autoplot_spcv_cstf.R                                                            |    8 
 R/bibentries.R                                                                    |    2 
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 R/zzz.R                                                                           |   57 +
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 man/as_task_regr_st.Rd                                                            |    5 
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 man/autoplot.ResamplingSpCVEnv.Rd                                                 |    2 
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Package finalfit updated to version 1.0.5 with previous version 1.0.4 dated 2021-12-05

Title: Quickly Create Elegant Regression Results Tables and Plots when Modelling
Description: Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
Author: Ewen Harrison [aut, cre], Tom Drake [aut], Riinu Ots [aut]
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>

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Package BranchGLM updated to version 1.3.0 with previous version 1.2.0 dated 2022-07-23

Title: Efficient Branch and Bound Variable Selection for GLMs using 'RcppArmadillo'
Description: Performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm. To speed up the model fitting process, a range of optimization methods are implemented in 'RcppArmadillo'. Parallel computation is available using 'OpenMP'.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>

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Package HostSwitch updated to version 0.1.2 with previous version 0.1.1 dated 2022-05-24

Title: Simulate the Extent of Host Switching by Consumers
Description: Using a simulation-based approach, the 'HostSwitch' package provides functions to investigate host switches by consumers. The individual-based model is based on the concept of ecological fitting. The mockup model is published by Araujo et al. 2015. Understanding Host-Switching by Ecological Fitting (<doi:10.1371/journal.pone.0139225>). The package provides an R-friendly and modified version of this model which can be applied to different consumer-resource scenarios.
Author: Valeria Trivellone [aut] , Sabrina B.L. Araujo [aut] , Bernd Panassiti [cre, aut]
Maintainer: Bernd Panassiti <bernd.panassiti@gmail.com>

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Package filesstrings updated to version 3.2.3 with previous version 3.2.2 dated 2021-04-18

Title: Handy File and String Manipulation
Description: This started out as a package for file and string manipulation. Since then, the 'fs' and 'strex' packages emerged, offering functionality previously given by this package (but it's done better in these new ones). Those packages have hence almost pushed 'filesstrings' into extinction. However, it still has a small number of unique, handy file manipulation functions which can be seen in the vignette. One example is a function to remove spaces from all file names in a directory.
Author: Rory Nolan [aut, cre, cph] , Sergi Padilla-Parra [ths]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package correlation updated to version 0.8.2 with previous version 0.8.1 dated 2022-05-20

Title: Methods for Correlation Analysis
Description: Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem.
Author: Dominique Makowski [aut, inv] , Brenton M. Wiernik [aut, cre] , Indrajeet Patil [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Mark White [rev], Maximilian M. Rabe [rev]
Maintainer: Brenton M. Wiernik <brenton@wiernik.org>

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Package tiledb updated to version 0.15.0 with previous version 0.14.1 dated 2022-07-12

Title: Universal Storage Engine for Sparse and Dense Multidimensional Arrays
Description: The universal storage engine 'TileDB' introduces a powerful on-disk format for multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations.
Author: TileDB, Inc. [aut, cph], Dirk Eddelbuettel [cre]
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>

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Package SimDesign updated to version 2.9 with previous version 2.8 dated 2021-12-08

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, and implicitly supports parallel processing. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package HH updated to version 3.1-49 with previous version 3.1-47 dated 2022-01-27

Title: Statistical Analysis and Data Display: Heiberger and Holland
Description: Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
Author: Richard M. Heiberger
Maintainer: Richard M. Heiberger <rmh@temple.edu>

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Package tinyscholar updated to version 0.1.7 with previous version 0.1.6 dated 2022-07-04

Title: Get and Show Personal 'Google Scholar' Profile
Description: Provides functions to get personal 'Google Scholar' profile data from web API and show it in table or figure format.
Author: Shixiang Wang [aut, cre]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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New package simphony with initial version 1.0.3
Package: simphony
Title: Simulating Large-Scale, Rhythmic Data
Version: 1.0.3
Description: A tool for simulating rhythmic data: transcriptome data using Gaussian or negative binomial distributions, and behavioral activity data using Bernoulli or Poisson distributions. See Singer et al. (2019) <doi:10.7717/peerj.6985>.
URL: https://simphony.hugheylab.org, https://github.com/hugheylab/simphony
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4)
Imports: data.table (>= 1.11.4), foreach (>= 1.4.4)
Suggests: ggplot2 (>= 3.0.0), kableExtra (>= 0.9.0), knitr (>= 1.20), limma (>= 3.34.9), precrec (>= 0.9.1), rmarkdown (>= 1.9), testthat (>= 2.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-08 21:05:10 UTC; jakehughey
Author: Jake Hughey [aut, cre], Jordan Singer [aut], Darwin Fu [ctb]
Maintainer: Jake Hughey <jakejhughey@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-09 15:30:05 UTC

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Package sigminer updated to version 2.1.6 with previous version 2.1.5 dated 2022-06-30

Title: Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Description: Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al. (2022) <DOI:10.1038/s41586-022-04738-6>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Author: Shixiang Wang [aut, cre] , Ziyu Tao [aut] , Huimin Li [aut] , Tao Wu [aut] , Xue-Song Liu [aut, ctb] , Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between sigminer versions 2.1.5 dated 2022-06-30 and 2.1.6 dated 2022-08-09

 DESCRIPTION               |    6 +-
 MD5                       |   12 ++--
 NEWS.md                   |    4 +
 R/utils-tidy-eval.R       |    2 
 inst/doc/cnsignature.html |  128 +++++++++++++++++++++++-----------------------
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 man/tidyeval.Rd           |    2 
 7 files changed, 81 insertions(+), 77 deletions(-)

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New package sdcMicro with initial version 5.7.2
Package: sdcMicro
Title: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
Version: 5.7.2
Date: 2022-07-22
Description: Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.
LazyData: TRUE
ByteCompile: TRUE
LinkingTo: Rcpp
Depends: R (>= 2.10)
Suggests: laeken,testthat
Imports: utils, stats, graphics, car, carData, rmarkdown, knitr, data.table, xtable, robustbase, cluster, MASS, e1071, tools, Rcpp, methods, ggplot2, shiny (>= 1.4.0), haven, rhandsontable, DT, shinyBS, prettydoc, VIM(>= 4.7.0)
License: GPL-2
URL: https://github.com/sdcTools/sdcMicro
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2022-07-22 09:28:44 UTC; bernhard
Author: Matthias Templ [aut, cre] , Bernhard Meindl [aut], Alexander Kowarik [aut] , Johannes Gussenbauer [aut]
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-09 15:40:02 UTC

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Package optmatch updated to version 0.10.4 with previous version 0.10.3 dated 2022-05-16

Title: Functions for Optimal Matching
Description: Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies (Hansen and Klopfer 2006 <doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.
Author: Ben Hansen [aut], Mark Fredrickson [aut], Josh Errickson [cre, aut], Josh Buckner [aut], Adam Rauh [ctb]
Maintainer: Josh Errickson <jerrick@umich.edu>

Diff between optmatch versions 0.10.3 dated 2022-05-16 and 0.10.4 dated 2022-08-09

 DESCRIPTION                                  |   12 -
 MD5                                          |   46 ++--
 NAMESPACE                                    |    1 
 NEWS.md                                      |   17 +
 R/InfinitySparseMatrix.R                     |   17 +
 R/match_on.R                                 |   37 +--
 R/scores.R                                   |    2 
 build/vignette.rds                           |binary
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 inst/doc/matching-from-foreign-software.html |    4 
 inst/doc/matching-within-subgroups.html      |    4 
 man/dbind.Rd                                 |    6 
 man/match_on-methods.Rd                      |    2 
 man/scores.Rd                                |    2 
 tests/testthat/test.CBPS.R                   |   49 ++--
 tests/testthat/test.InfinitySparseMatrix.R   |  266 ++++++++++++++-------------
 tests/testthat/test.fill.NAs.R               |    3 
 tests/testthat/test.mahal-dist.R             |   20 +-
 tests/testthat/test.match_on.R               |    6 
 tests/testthat/test.rank.mahal.R             |   19 +
 tests/testthat/test.utilities.R              |    4 
 vignettes/fullmatch-vignette.Rmd             |   95 ++++++---
 24 files changed, 501 insertions(+), 379 deletions(-)

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New package journalabbr with initial version 0.4.0
Package: journalabbr
Title: Journal Abbreviations for BibTeX Documents
Version: 0.4.0
Description: Since the reference management software (such as 'Zotero', 'Mendeley') exports Bib file journal abbreviation is not detailed enough, the 'journalabbr' package only abbreviates the journal field of Bib file, and then outputs a new Bib file for generating reference format with journal abbreviation on other software (such as 'texstudio'). The abbreviation table is from 'JabRef'. At the same time, 'Shiny' application is provided to generate 'thebibliography', a reference format that can be directly used for latex paper writing based on 'Rmd' files.
License: GPL (>= 3)
URL: https://github.com/zoushucai/journalabbr
BugReports: https://github.com/zoushucai/journalabbr/issues
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: data.table, stringr, purrr, httr, shiny, tidytable, stringi
Suggests: testthat (>= 3.0.0), rclipboard, tinytex, DT, rmarkdown (>= 2.7), knitr (>= 1.33)
Date: 2022-08-09
NeedsCompilation: no
Packaged: 2022-08-09 14:48:22 UTC; zsc
Author: ShuCai Zou [aut, cre], Yu Chen [aut]
Maintainer: ShuCai Zou <zscmoyujian@163.com>
Repository: CRAN
Date/Publication: 2022-08-09 16:00:02 UTC

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New package jmvReadWrite with initial version 0.3.3
Package: jmvReadWrite
Title: Read and Write 'jamovi' Files ('.omv')
Version: 0.3.3
Description: The free and open a statistical spreadsheet 'jamovi' (<https://www.jamovi.org>) aims to make statistical analyses easy and intuitive. 'jamovi' produces syntax that can directly be used in R (in connection with the R-package 'jmv'). Having import / export routines for the data files 'jamovi' produces ('.omv') permits an easy transfer of analyses between 'jamovi' and R.
License: AGPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Language: en-GB
URL: https://sjentsch.github.io/jmvReadWrite/
BugReports: https://github.com/sjentsch/jmvReadWrite/issues
Depends: R (>= 3.5.0)
Imports: rjson, zip
Suggests: jmv, jmvcore, foreign, haven, knitr, rmarkdown, RProtoBuf, testthat (>= 3.0.0), covr
NeedsCompilation: no
Packaged: 2022-08-08 11:10:28 UTC; sjentsch
Author: Sebastian Jentschke [aut, cre]
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>
Repository: CRAN
Date/Publication: 2022-08-09 15:30:12 UTC

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New package geoR with initial version 1.9-2
Package: geoR
Version: 1.9-2
Date: 2022-08-09
Title: Analysis of Geostatistical Data
LazyLoad: yes
LazyData: yes
Author: Paulo Justiniano Ribeiro Jr [aut, cre] <paulojus@ufpr.br>, Peter Diggle [aut, cre] <p.diggle@lancaster.ac.uk>, Ole Christensen [ctb], Martin Schlather [ctb], Roger Bivand [ctb], Brian Ripley [ctb]
Maintainer: Paulo Justiniano Ribeiro Jr <paulojus@ufpr.br>
Depends: R (>= 2.10), stats, methods
Imports: MASS, sp, splancs, graphics
Suggests: scatterplot3d, lattice, tcltk
Description: Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software companion for Diggle and Ribeiro (2007) <doi:10.1007/978-0-387-48536-2>.
License: GPL (>= 2)
URL: http://www.leg.ufpr.br/geoR/
NeedsCompilation: yes
Packaged: 2022-08-09 14:22:39 UTC; paulojus
Repository: CRAN
Date/Publication: 2022-08-09 16:00:05 UTC

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New package climate with initial version 1.0.5
Package: climate
Title: Interface to Download Meteorological (and Hydrological) Datasets
Version: 1.0.5
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair/>), Polish Institute of Meterology and Water Management - National Research Institute (<https://danepubliczne.imgw.pl>), and National Oceanic & Atmospheric Administration (NOAA). This package also allows for searching geographical coordinates for each observation and calculate distances to the nearest stations.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1)
Imports: XML, httr, curl, data.table
Suggests: testthat, knitr, rmarkdown, dplyr, tidyr, maps
URL: https://github.com/bczernecki/climate
BugReports: https://github.com/bczernecki/climate/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-08 12:20:40 UTC; bartosz
Author: Bartosz Czernecki [aut, cre] , Arkadiusz Glogowski [aut] , Jakub Nowosad [aut] , IMGW-PIB [ctb]
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>
Repository: CRAN
Date/Publication: 2022-08-09 16:00:11 UTC

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Package censusapi updated to version 0.8.0 with previous version 0.7.1 dated 2020-10-14

Title: Retrieve Data from the Census APIs
Description: A wrapper for the U.S. Census Bureau APIs that returns data frames of Census data and metadata. Available datasets include the Decennial Census, American Community Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, Population Estimates and Projections, and more.
Author: Hannah Recht [aut, cre]
Maintainer: Hannah Recht <censusapi.rstats@gmail.com>

Diff between censusapi versions 0.7.1 dated 2020-10-14 and 0.8.0 dated 2022-08-09

 censusapi-0.7.1/censusapi/build                     |only
 censusapi-0.7.1/censusapi/inst                      |only
 censusapi-0.7.1/censusapi/vignettes                 |only
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 censusapi-0.8.0/censusapi/MD5                       |   28 --
 censusapi-0.8.0/censusapi/NEWS.md                   |   47 +++-
 censusapi-0.8.0/censusapi/R/getcensus_functions.R   |  226 +++++++++++---------
 censusapi-0.8.0/censusapi/R/makevar_functions.R     |   20 -
 censusapi-0.8.0/censusapi/R/metadata_functions.R    |  226 ++++++++++++++++----
 censusapi-0.8.0/censusapi/README.md                 |  120 ----------
 censusapi-0.8.0/censusapi/man/getCensus.Rd          |  103 +++++----
 censusapi-0.8.0/censusapi/man/getFunction.Rd        |    4 
 censusapi-0.8.0/censusapi/man/listCensusApis.Rd     |    7 
 censusapi-0.8.0/censusapi/man/listCensusMetadata.Rd |   83 ++++++-
 censusapi-0.8.0/censusapi/man/makeVarlist.Rd        |    6 
 15 files changed, 545 insertions(+), 339 deletions(-)

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New package abcrf with initial version 1.9
Package: abcrf
Title: Approximate Bayesian Computation via Random Forests
Version: 1.9
Date: 2022-08-09
Description: Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests. Pudlo P., Marin J.-M., Estoup A., Cornuet J.-M., Gautier M. and Robert C. P. (2016) <doi:10.1093/bioinformatics/btv684>. Estoup A., Raynal L., Verdu P. and Marin J.-M. <http://journal-sfds.fr/article/view/709>. Raynal L., Marin J.-M., Pudlo P., Ribatet M., Robert C. P. and Estoup A. (2019) <doi:10.1093/bioinformatics/bty867>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
Imports: readr, MASS, matrixStats, ranger, doParallel, parallel, foreach, stringr, Rcpp (>= 0.11.2)
LinkingTo: Rcpp, RcppArmadillo
Depends: R(>= 3.1)
NeedsCompilation: yes
Maintainer: Jean-Michel Marin <jean-michel.marin@umontpellier.fr>
Repository: CRAN
Author: Jean-Michel Marin [aut, cre], Louis Raynal [aut], Pierre Pudlo [aut], Christian P. Robert [ctb], Arnaud Estoup [ctb]
Packaged: 2022-08-09 09:16:29 UTC; jmm
Date/Publication: 2022-08-09 15:30:19 UTC

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Package scAnnotate updated to version 0.0.3 with previous version 0.0.2 dated 2022-08-08

Title: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data
Description: An entirely data-driven cell type annotation tools, which requires training data to learn the classifier, but not biological knowledge to make subjective decisions. It consists of three steps: preprocessing training and test data, model fitting on training data, and cell classification on test data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui Zhang.(2022)<doi:10.1101/2022.02.19.481159> for more details.
Author: Xiangling Ji [aut], Danielle Tsao [aut], Kailun Bai [ctb], Min Tsao [aut], Li Xing [aut], Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <xuekui@uvic.ca>

Diff between scAnnotate versions 0.0.2 dated 2022-08-08 and 0.0.3 dated 2022-08-09

 DESCRIPTION |   10 ++++++----
 MD5         |    2 +-
 2 files changed, 7 insertions(+), 5 deletions(-)

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Package rnrfa updated to version 2.0.6 with previous version 2.0.4 dated 2021-02-15

Title: UK National River Flow Archive Data from R
Description: Utility functions to retrieve data from the UK National River Flow Archive (<https://nrfa.ceh.ac.uk/>, terms and conditions: <https://nrfa.ceh.ac.uk/costs-terms-and-conditions>). The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information. The package is fully described in Vitolo et al (2016) "rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive" <https://journal.r-project.org/archive/2016/RJ-2016-036/RJ-2016-036.pdf>.
Author: Ilaria Prosdocimi [ctb, cre] , Claudia Vitolo [aut] , Matthew Fry [ctb] , Wouter Buytaert [ctb] , Michael Spencer [ctb] , Tobias Gauster [ctb]
Maintainer: Ilaria Prosdocimi <prosdocimi.ilaria@gmail.com>

Diff between rnrfa versions 2.0.4 dated 2021-02-15 and 2.0.6 dated 2022-08-09

 DESCRIPTION                     |   45 -
 MD5                             |   52 -
 NAMESPACE                       |  101 +--
 NEWS.md                         |  205 +++---
 R/catalogue.R                   |  268 ++++----
 R/gdf.R                         |   76 +-
 R/get_ts.R                      |  242 +++-----
 R/internals.R                   |  366 ++++++------
 R/osg_parse.R                   |  261 ++++----
 R/plot_rain_flow.R              |  160 ++---
 R/plot_trend.R                  |  176 +++--
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 R/seasonal_averages.R           |   82 +-
 README.md                       |  240 ++++---
 build/vignette.rds              |binary
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 man/gdf.Rd                      |   83 +-
 man/get_ts.Rd                   |  145 ++--
 man/osg_parse.Rd                |   79 +-
 man/plot_trend.Rd               |   71 +-
 tests/testthat.R                |   18 
 tests/testthat/test-gdf.R       |   56 -
 tests/testthat/test-get_ts.R    |  162 ++---
 tests/testthat/test-osg_parse.R |  168 ++---
 vignettes/rnrfa-vignette.Rmd    |  606 ++++++++++----------
 27 files changed, 3002 insertions(+), 2834 deletions(-)

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New package Omisc with initial version 0.1.5
Package: Omisc
Title: Univariate Bootstrapping and Other Things
Version: 0.1.5
Author: Patrick O'Keefe
Maintainer: Patrick O'Keefe <okeefep@ohsu.edu>
Description: Primarily devoted to implementing the Univariate Bootstrap (as well as the Traditional Bootstrap). In addition there are multiple functions for DeFries-Fulker behavioral genetics models. The univariate bootstrapping functions, DeFries-Fulker functions, regression and traditional bootstrapping functions form the original core. Additional features may come online later, however this software is a work in progress. For more information about univariate bootstrapping see: Lee and Rodgers (1998) and Beasley et al (2007) <doi:10.1037/1082-989X.12.4.414>.
License: GPL-3
Encoding: UTF-8
Imports: MASS, base, stats, psych, copula
Suggests: lavaan
NeedsCompilation: no
Packaged: 2022-08-08 19:52:27 UTC; pgok1
Repository: CRAN
Date/Publication: 2022-08-09 14:10:02 UTC

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New package lrstat with initial version 0.1.6
Package: lrstat
Title: Power and Sample Size Calculation for Non-Proportional Hazards
Version: 0.1.6
Date: 2022-08-05
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168).
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mvtnorm
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: C++11
Packaged: 2022-08-05 19:30:28 UTC; kaifeng
Repository: CRAN
Date/Publication: 2022-08-09 15:00:02 UTC

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New package GPSeqClus with initial version 1.3.0
Package: GPSeqClus
Title: Sequential Clustering Algorithm for Location Data
Version: 1.3.0
Date: 2022-07-29
Author: Clapp, J. G.
Maintainer: Justin Clapp <justin.clapp@wyo.gov>
Description: Applies sequential clustering algorithm to animal location data based on user-defined parameters. Plots interactive cluster maps and provides a summary dataframe with attributes for each cluster commonly used as covariates in subsequent modeling efforts. Additional functions provide individual keyhole markup language plots for quick assessment, and export of global positioning system exchange format files for navigation purposes. Methods can be found at <doi:10.1111/2041-210X.13572>.
Depends: R (>= 3.5)
Imports: geosphere, htmlwidgets, leaflet, leaflet.extras, plotKML, plyr, purrr, rgdal, sp, spacetime, stats, suncalc, tcltk, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-07-29 22:08:56 UTC; jugclapp
Repository: CRAN
Date/Publication: 2022-08-09 14:20:08 UTC

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Package flextable updated to version 0.7.3 with previous version 0.7.2 dated 2022-06-12

Title: Functions for Tabular Reporting
Description: Create pretty tables for 'HTML', 'PDF', 'Microsoft Word' and 'Microsoft PowerPoint' documents from 'R Markdown'. Functions are provided to let users create tables, modify and format their content. It also extends package 'officer' that does not contain any feature for customized tabular reporting.
Author: David Gohel [aut, cre], Clementine Jager [ctb], Quentin Fazilleau [ctb], Maxim Nazarov [ctb] , Titouan Robert [ctb], Michael Barrowman [ctb] , Atsushi Yasumoto [ctb] , Paul Julian [ctb] , Sean Browning [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.7.2 dated 2022-06-12 and 0.7.3 dated 2022-08-09

 DESCRIPTION                      |   14 +++----
 MD5                              |   60 +++++++++++++++---------------
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 NEWS.md                          |   30 +++++++++++++++
 R/as_flextable_tabulator.R       |   14 ++++++-
 R/chunk_images.R                 |   55 +++++++++++++++++++--------
 R/clintables.R                   |only
 R/docx_str.R                     |   10 ++++-
 R/flextable.R                    |    9 +++-
 R/footnote.R                     |    8 ++++
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 tests/testthat/test-dimensions.R |   17 ++++++++
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 32 files changed, 442 insertions(+), 156 deletions(-)

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Package EmpiricalCalibration updated to version 3.1.1 with previous version 3.1.0 dated 2022-07-01

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 3.1.0 dated 2022-07-01 and 3.1.1 dated 2022-08-09

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 10 files changed, 74 insertions(+), 56 deletions(-)

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New package cpd with initial version 0.3.0
Package: cpd
Title: Complex Pearson Distributions
Version: 0.3.0
Date: 2022-07-22
Description: Probability mass function, distribution function, quantile function and random generation for the Complex Triparametric Pearson (CTP) and Complex Biparametric Pearson (CBP) distributions developed by Rodriguez-Avi et al (2003) <doi:10.1007/s00362-002-0134-7>, Rodriguez-Avi et al (2004) <doi:10.1007/BF02778271> and Olmo-Jimenez et al (2018) <doi:10.1080/00949655.2018.1482897>. The package also contains maximum-likelihood fitting functions for these models.
Depends: R (>= 4.0.0)
Imports: hypergeo, Rdpack, dgof, graphics
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-08-08 08:42:49 UTC; svilc_000
Author: Silverio Vilchez-Lopez [aut, cre], Maria Jose Olmo-Jimenez [aut], Jose Rodriguez-Avi [aut]
Maintainer: Silverio Vilchez-Lopez <svilchez@ujaen.es>
Repository: CRAN
Date/Publication: 2022-08-09 14:20:05 UTC

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Package calibrationband updated to version 0.2.1 with previous version 0.1.0 dated 2022-08-09

Title: Calibration Bands
Description: Package to assess the calibration of probabilistic classifiers using confidence bands for monotonic functions. Besides testing the classical goodness-of-fit null hypothesis of perfect calibration, the confidence bands calculated within that package facilitate inverted goodness-of-fit tests whose rejection allows for a sought-after conclusion of a sufficiently well-calibrated model. The package creates flexible graphical tools to perform these tests. For construction details see also Dimitriadis, Dümbgen, Henzi, Puke, Ziegel (2022) <arXiv:2203.04065>.
Author: Timo Dimitriadis [aut], Alexander Henzi [aut], Marius Puke [aut, cre]
Maintainer: Marius Puke <marius.puke@uni-hohenheim.de>

Diff between calibrationband versions 0.1.0 dated 2022-08-09 and 0.2.1 dated 2022-08-09

 DESCRIPTION |    9 +++++----
 MD5         |    2 +-
 2 files changed, 6 insertions(+), 5 deletions(-)

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Package BioRssay updated to version 1.1.0 with previous version 1.0.0 dated 2022-05-26

Title: Analyze Bioassays and Probit Graphs
Description: A robust framework for analyzing mortality data from bioassays for one or several strains/lines/populations.
Author: Piyal Karunarathne [aut, cre] , Pascal Milesi [aut] , Pierrick Labbe [aut]
Maintainer: Piyal Karunarathne <piyalkarumail@yahoo.com>

Diff between BioRssay versions 1.0.0 dated 2022-05-26 and 1.1.0 dated 2022-08-09

 DESCRIPTION            |    9 +-
 MD5                    |   22 ++---
 NEWS.md                |   12 ++
 R/plots.R              |  101 +++++++++++++++++++++++
 R/ratios.R             |   20 ++--
 README.md              |   18 +++-
 inst/doc/BioRssay.R    |   12 ++
 inst/doc/BioRssay.Rmd  |   19 +++-
 inst/doc/BioRssay.html |  211 +++++++++++++++++++++++++------------------------
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 man/resist.ratio.Rd    |    6 -
 vignettes/BioRssay.Rmd |   19 +++-
 12 files changed, 309 insertions(+), 142 deletions(-)

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Package pathwayTMB updated to version 0.1.3 with previous version 0.1.2 dated 2022-05-18

Title: Pathway Based Tumor Mutational Burden
Description: A systematic bioinformatics tool to develop a new pathway-based gene panel for tumor mutational burden (TMB) assessment (pathway-based tumor mutational burden, PTMB), using somatic mutations files in an efficient manner from either The Cancer Genome Atlas sources or any in-house studies as long as the data is in mutation annotation file (MAF) format. Besides, we develop a multiple machine learning method using the sample's PTMB profiles to identify cancer-specific dysfunction pathways, which can be a biomarker of prognostic and predictive for cancer immunotherapy.
Author: Junwei Han [aut, cre, cph], Xiangmei Li [aut]
Maintainer: Junwei Han <hanjunwei1981@163.com>

Diff between pathwayTMB versions 0.1.2 dated 2022-05-18 and 0.1.3 dated 2022-08-09

 DESCRIPTION                 |    6 +-
 MD5                         |   28 ++++++------
 R/main.R                    |   96 +++++++++++++++++++++-----------------------
 R/visualization.R           |   24 +++++------
 data/mut_matrix.rda         |binary
 inst/doc/pathwayTMB.Rmd     |    9 +---
 inst/doc/pathwayTMB.html    |   32 ++++++--------
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 man/get_final_signature.Rd  |    4 +
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 man/plotROC.Rd              |    4 -
 vignettes/pathwayTMB.Rmd    |    9 +---
 15 files changed, 120 insertions(+), 126 deletions(-)

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New package diffdfs with initial version 0.9.0
Package: diffdfs
Title: Compute the Difference Between Data Frames
Version: 0.9.0
Description: Shows you which rows have changed between two data frames with the same column structure. Useful for diffing slowly mutating data.
License: MIT + file LICENSE
Imports: arrow, dplyr, janitor, rlang
BugReports: https://github.com/riazarbi/diffdfs
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-08-05 10:38:53 UTC; jovyan
Author: Riaz Arbi [aut, cre]
Maintainer: Riaz Arbi <diffdfs@arbidata.com>
Repository: CRAN
Date/Publication: 2022-08-09 13:50:06 UTC

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New package ympes with initial version 0.1.1
Package: ympes
Title: Collection of Helper Functions
Version: 0.1.1
Description: Provides a collection of lightweight helper functions (imps) both for interactive use and for inclusion within other packages. These include minimal assertion functions with a focus on informative error messaging for both missing and incorrect function arguments as well as other functions for visualising colour palettes and quoting user input.
License: GPL-2
Encoding: UTF-8
Suggests: clipr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-07-21 21:28:35 UTC; tim
Author: Tim Taylor [aut, cre, cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Repository: CRAN
Date/Publication: 2022-08-09 12:10:02 UTC

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New package VMDML with initial version 0.1.0
Package: VMDML
Title: Variational Mode Decomposition Based Machine Learning Models
Version: 0.1.0
Author: Pankaj Das [aut, cre], Girish Kumar Jha [aut], Tauqueer Ahmad [aut], Achal Lama [aut], Lampros Mouselimis [cph]
Maintainer: Pankaj Das <pankaj.das2@icar.gov.in>
Description: Application of Variational Mode Decomposition based different Machine Learning models for univariate time series forecasting. For method details see (i) K. Dragomiretskiy and D. Zosso (2014) <doi:10.1109/TSP.2013.2288675>; (ii) Pankaj Das (2020) <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.
License: GPL-3
Encoding: UTF-8
Imports: VMDecomp,forecast, e1071, randomForest
NeedsCompilation: no
Packaged: 2022-07-22 04:53:56 UTC; Pankaj
Repository: CRAN
Date/Publication: 2022-08-09 12:30:05 UTC

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New package SurfaceReconstruction with initial version 0.1.0
Package: SurfaceReconstruction
Title: Surface Reconstruction Using the 'CGAL' C++ Library
Version: 0.1.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides some 3d surface reconstruction algorithms: Poisson surface reconstruction and advanced front surface reconstruction. They generate a mesh from a given point cloud. The mesh can be plotted with the 'rgl' package.
License: GPL-3
URL: https://github.com/stla/SurfaceReconstruction
BugReports: https://github.com/stla/SurfaceReconstruction/issues
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 1.0.7), rgl, Rvcg
Suggests: misc3d, onion, uniformly
LinkingTo: BH, Rcpp, RcppCGAL, RcppEigen
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: C++ 14, gmp, mpfr
NeedsCompilation: yes
Packaged: 2022-07-22 07:18:42 UTC; SDL96354
Author: Stephane Laurent [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-09 12:30:07 UTC

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New package seeker with initial version 1.0.9
Package: seeker
Title: Simplified Fetching and Processing of Microarray and RNA-Seq Data
Version: 1.0.9
Description: Wrapper around various existing tools and command-line interfaces, providing a standard interface, simple parallelization, and detailed logging. For microarray data, maps probe sets to standard gene IDs, building on 'GEOquery' Davis and Meltzer (2007) <doi:10.1093/bioinformatics/btm254>, 'ArrayExpress' Kauffmann et al. (2009) <doi:10.1093/bioinformatics/btp354>, Robust multi-array average 'RMA' Irizarry et al. (2003) <doi:10.1093/biostatistics/4.2.249>, and 'BrainArray' Dai et al. (2005) <doi:10.1093/nar/gni179>. For RNA-seq data, fetches metadata and raw reads from National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA), performs standard adapter and quality trimming using 'TrimGalore' Krueger <https://github.com/FelixKrueger/TrimGalore>, performs quality control checks using 'FastQC' Andrews <https://github.com/s-andrews/FastQC>, quantifies transcript abundances using 'salmon' Patro et al. (2017) <doi:10.1038/nmeth.4197> and potentially 'refgenie' Stolarczyk et al. (2020) <doi:10.1093/gigascience/giz149>, aggregates the results using 'MultiQC' Ewels et al. (2016) <doi:10.1093/bioinformatics/btw354>, maps transcripts to genes using 'biomaRt' Durinkck et al. (2009) <doi:10.1038/nprot.2009.97>, and summarizes transcript-level quantifications for gene-level analyses using 'tximport' Soneson et al. (2015) <doi:10.12688/f1000research.7563.2>.
URL: https://seeker.hugheylab.org, https://github.com/hugheylab/seeker
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: affy (>= 1.68.0), AnnotationDbi (>= 1.52.0), ArrayExpress (>= 1.50.0), BiocManager (>= 1.30.0), biomaRt (>= 2.36.1), checkmate (>= 2.0.0), curl (>= 3.2), data.table (>= 1.11.8), foreach (>= 1.4.4), GEOquery (>= 2.58.0), glue (>= 1.5.0), jsonlite (>= 1.7.2), methods, qs (>= 0.21.2), R.utils (>= 2.11.0), RCurl (>= 1.98), readr (>= 1.4.0), sessioninfo (>= 1.2.0), tximport (>= 1.8.0), withr (>= 2.4.2), yaml (>= 2.2.1)
Suggests: Biobase, doParallel (>= 1.0.16), knitr, org.Mm.eg.db, rmarkdown, testthat (>= 3.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-22 19:49:26 UTC; joshuaschoenbachler
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-09 13:00:02 UTC

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New package rankinPlot with initial version 1.0.1
Package: rankinPlot
Title: Convenient Plotting for the Modified Rankin Scale and Other Ordinal Outcome Data
Version: 1.0.1
Maintainer: Hannah Johns <htjohns@gmail.com>
Description: Provides convenient tools for visualising ordinal outcome data following the "Grotta Bar" approach pioneered by The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group (1995) <doi:10.1056/NEJM199512143332401>.
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: ggplot2 (>= 3.3), scales (>= 1.2)
NeedsCompilation: no
Packaged: 2022-07-22 00:41:13 UTC; htjoh
Author: Hannah Johns [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-09 12:10:04 UTC

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Package polite updated to version 0.1.2 with previous version 0.1.1 dated 2019-11-30

Title: Be Nice on the Web
Description: Be responsible when scraping data from websites by following polite principles: introduce yourself, ask for permission, take slowly and never ask twice.
Author: Dmytro Perepolkin [aut, cre]
Maintainer: Dmytro Perepolkin <dperepolkin@gmail.com>

Diff between polite versions 0.1.1 dated 2019-11-30 and 0.1.2 dated 2022-08-09

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 tests/testthat/test_nod.R                 |    6 
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 26 files changed, 628 insertions(+), 153 deletions(-)

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New package fake with initial version 1.0.0
Package: fake
Title: Flexible Data Simulation Using the Multivariate Normal Distribution
Version: 1.0.0
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <b.bodinier@imperial.ac.uk>
Description: Simulation of data from Gaussian Graphical Models (B Bodinier, S Filippi, TH Nost, J Chiquet, M Chadeau-Hyam (2021) <arXiv:2106.02521>). By controlling the conditional independence structure between the variables, these multivariate simulation tools can be used to evaluate the performance of regression, dimensionality reduction or graphical models.
License: GPL (>= 3)
Language: en-GB
Encoding: UTF-8
Imports: huge, igraph, MASS, Rdpack, withr (>= 2.4.0)
Suggests: testthat (>= 3.0.0),
NeedsCompilation: no
Packaged: 2022-07-22 17:29:42 UTC; barbara
Repository: CRAN
Date/Publication: 2022-08-09 12:40:02 UTC

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Package dsims updated to version 1.0.0 with previous version 0.2.3 dated 2022-06-15

Title: Distance Sampling Simulations
Description: Performs distance sampling simulations. 'dsims' repeatedly generates instances of a user defined population within a given survey region. It then generates realisations of a survey design and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This process allows users to optimise survey designs for their specific set of survey conditions. The effects of uncertainty in population distribution or parameters can be investigated under a number of simulations so that users can be confident that they have achieved a robust survey design before deploying vessels into the field. The distance sampling designs used in this package from 'dssd' are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). General distance sampling methods are detailed in Introduction to Distance Sampling: Estimating Abundance of Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating animal/plant abundance with distance sampling at <http://distancesampling.org/>.
Author: Laura Marshall [aut, cre], Thomas Len [ctb]
Maintainer: Laura Marshall <lhm@st-and.ac.uk>

Diff between dsims versions 0.2.3 dated 2022-06-15 and 1.0.0 dated 2022-08-09

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 dsims-1.0.0/dsims/NAMESPACE                                        |    6 
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 dsims-1.0.0/dsims/R/AICc.R                                         |    6 
 dsims-1.0.0/dsims/R/DS.Analysis.R                                  |  125 ++++++-
 dsims-1.0.0/dsims/R/Detectability.R                                |    2 
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 dsims-1.0.0/dsims/R/Survey.LT.R                                    |    1 
 dsims-1.0.0/dsims/R/Survey.PT.R                                    |    1 
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 dsims-1.0.0/dsims/R/accumulate.warnings.R                          |    2 
 dsims-1.0.0/dsims/R/add.covariate.values.R                         |    2 
 dsims-1.0.0/dsims/R/add.summary.results.R                          |    2 
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 dsims-1.0.0/dsims/R/store.dht.results.R                            |    3 
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 dsims-1.0.0/dsims/inst/doc/GettingStarted.html                     |   10 
 dsims-1.0.0/dsims/man/analyse.data-methods.Rd                      |    8 
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 dsims-1.0.0/dsims/man/plot-methods.Rd                              |   14 
 dsims-1.0.0/dsims/man/run.simulation-methods.Rd                    |    8 
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New package CMHNPA with initial version 0.1.0
Package: CMHNPA
Title: Cochran-Mantel-Haenszel and Nonparametric ANOVA
Version: 0.1.0
Description: Cochran-Mantel-Haenszel methods (Cochran (1954) <doi:10.2307/3001616>; Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>; Landis et al. (1978) <doi:10.2307/1402373>) are a suite of tests applicable to categorical data. A competitor to those tests is the procedure of Nonparametric ANOVA which was initially introduced in Rayner and Best (2013) <doi:10.1111/anzs.12041>. The methodology was then extended in Rayner et al. (2015) <doi:10.1111/anzs.12113>. This package employs functions related to both methodologies and serves as an accompaniment to the book: An Introduction to Cochran–Mantel–Haenszel and Non-Parametric ANOVA. The package also contains the data sets used in that text.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: methods, MASS, car
NeedsCompilation: no
Packaged: 2022-07-22 02:38:23 UTC; glj542
Author: G. C. Livingston Jr [aut, cre, cph], J.C.W. Rayner [aut]
Maintainer: G. C. Livingston Jr <Glen.LivingstonJr@newcastle.edu.au>
Repository: CRAN
Date/Publication: 2022-08-09 12:20:02 UTC

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New package cassowaryr with initial version 2.0.0
Package: cassowaryr
Title: Compute Scagnostics on Pairs of Numeric Variables in a Data Set
Version: 2.0.0
Description: Computes a range of scatterplot diagnostics (scagnostics) on pairs of numerical variables in a data set. A range of scagnostics, including graph and association-based scagnostics described by Leland Wilkinson and Graham Wills (2008) <doi:10.1198/106186008X320465> and association-based scagnostics described by Katrin Grimm (2016,ISBN:978-3-8439-3092-5) can be computed. Summary and plotting functions are provided.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/numbats/cassowaryr
BugReports: https://github.com/numbats/cassowaryr/issues
Depends: R (>= 4.0.0)
Imports: igraph, alphahull (>= 2.5), splancs, interp, energy, dplyr, ggplot2, magrittr, progress, tibble, stats, tidyselect
Suggests: rmarkdown, knitr, mgcv, GGally, tidyr, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-22 08:47:29 UTC; hmas0003
Author: Harriet Mason [aut, cre], Stuart Lee [aut] , Ursula Laa [aut] , Di Cook [aut]
Maintainer: Harriet Mason <harriet.m.mason@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-09 12:30:02 UTC

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Package survival updated to version 3.4-0 with previous version 3.3-1 dated 2022-03-03

Title: Survival Analysis
Description: Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
Author: Terry M Therneau [aut, cre], Thomas Lumley [ctb, trl] , Atkinson Elizabeth [ctb], Crowson Cynthia [ctb]
Maintainer: Terry M Therneau <therneau.terry@mayo.edu>

Diff between survival versions 3.3-1 dated 2022-03-03 and 3.4-0 dated 2022-08-09

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Package spiralize updated to version 1.0.6 with previous version 1.0.5 dated 2022-02-05

Title: Visualize Data on Spirals
Description: It visualizes data along an Archimedean spiral <https://en.wikipedia.org/wiki/Archimedean_spiral>, makes so-called spiral graph or spiral chart. It has two major advantages for visualization: 1. It is able to visualize data with very long axis with high resolution. 2. It is efficient for time series data to reveal periodic patterns.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between spiralize versions 1.0.5 dated 2022-02-05 and 1.0.6 dated 2022-08-09

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New package slendr with initial version 0.2.0
Package: slendr
Title: A Simulation Framework for Spatiotemporal Population Genetics
Version: 0.2.0
Description: A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software (Haller et al. 2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' (Baumdicker et al. 2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequence functionality via an R interface to the 'Python' module 'tskit' (Kelleher et al. 2019) <doi:10.1038/s41588-019-0483-y>. Complete model configuration, simulation and analysis pipelines can be therefore constructed without a need to leave the R environment, eliminating friction between disparate tools for population genetic simulations and data analysis.
Depends: R (>= 3.6.0)
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: 'SLiM' is a forward simulation software for population genetics and evolutionary biology. See <https://messerlab.org/slim/> for installation instructions and further information. The 'Python' coalescent framework 'msprime' and the 'tskit' module can by installed by following the instructions at <https://tskit.dev/>.
Imports: sf, stars, ggplot2, dplyr, purrr, readr, magrittr, reticulate, tidyr, rnaturalearth, gganimate, png, ijtiff, shinyWidgets, shiny, ape
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, admixr, units, rgdal, magick, cowplot, forcats, rsvg
VignetteBuilder: knitr
URL: https://github.com/bodkan/slendr
BugReports: https://github.com/bodkan/slendr/issues
NeedsCompilation: no
Packaged: 2022-07-21 14:01:53 UTC; mp
Author: Martin Petr [aut, cre]
Maintainer: Martin Petr <contact@bodkan.net>
Repository: CRAN
Date/Publication: 2022-08-09 12:00:02 UTC

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Package pkgndep updated to version 1.1.5 with previous version 1.1.4 dated 2022-06-09

Title: Analyze Dependency Heaviness of R Packages
Description: A new metric named 'dependency heaviness' is proposed that measures the number of additional dependency packages that a parent package brings to its child package and are unique to the dependency packages imported by all other parents. The dependency heaviness analysis is visualized by a customized heatmap. The package is described in <doi:10.1093/bioinformatics/btac449>.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between pkgndep versions 1.1.4 dated 2022-06-09 and 1.1.5 dated 2022-08-09

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Package nlme updated to version 3.1-159 with previous version 3.1-158 dated 2022-06-15

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: Jose Pinheiro [aut] , Douglas Bates [aut] , Saikat DebRoy [ctb] , Deepayan Sarkar [ctb] , EISPACK authors [ctb] , Siem Heisterkamp [ctb] , Bert Van Willigen [ctb] , Johannes Ranke [ctb] ), R Core Team [aut, cre]
Maintainer: R Core Team <R-core@R-project.org>

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New package calibrationband with initial version 0.1.0
Package: calibrationband
Title: Calibration Bands
Version: 0.1.0
Description: Package to assess the calibration of probabilistic classifiers using confidence bands for monotonic functions. Besides testing the classical goodness-of-fit null hypothesis of perfect calibration, the confidence bands calculated within that package facilitate inverted goodness-of-fit tests whose rejection allows for a sought-after conclusion of a sufficiently well-calibrated model. The package creates flexible graphical tools to perform these tests. For construction details see also Dimitriadis, Dümbgen, Henzi, Puke, Ziegel (2022) <arXiv:2203.04065>.
URL: https://github.com/marius-cp/calibrationband
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.3)
LinkingTo: Rcpp
Imports: Rcpp, ggplot2, tibble, dplyr, tidyr, sp, methods, base, stats, magrittr, rlang, tidyselect
NeedsCompilation: yes
Packaged: 2022-07-21 14:32:27 UTC; mp
Author: Timo Dimitriadis [aut], Alexander Henzi [aut], Marius Puke [aut, cre]
Maintainer: Marius Puke <marius.puke@uni-hohenheim.de>
Repository: CRAN
Date/Publication: 2022-08-09 12:00:07 UTC

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New package BMS with initial version 0.3.5
Package: BMS
Title: Bayesian Model Averaging Library
Version: 0.3.5
Date: 2022-08-05
Author: Martin Feldkircher and Stefan Zeugner and Paul Hofmarcher
Maintainer: Stefan Zeugner <stefan.zeugner@ec.europa.eu>
Depends: methods, stats, graphics, R (>= 2.10)
Description: Bayesian Model Averaging for linear models with a wide choice of (customizable) priors. Built-in priors include coefficient priors (fixed, hyper-g and empirical priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches. Post-processing functions allow for inferring posterior inclusion and model probabilities, various moments, coefficient and predictive densities. Plotting functions available for posterior model size, MCMC convergence, predictive and coefficient densities, best models representation, BMA comparison. Also includes Bayesian normal-conjugate linear model with Zellner's g prior, and assorted methods.
License: BSD_3_clause + file LICENSE
URL: http://bms.zeugner.eu
LazyData: true
NeedsCompilation: no
Packaged: 2022-08-05 10:42:16 UTC; admin-b1
Repository: CRAN
Date/Publication: 2022-08-09 11:10:02 UTC

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New package BeeGUTS with initial version 1.0.0
Package: BeeGUTS
Title: General Unified Threshold Model of Survival for Bees using Bayesian Inference
Version: 1.0.0
Description: Tools to calibrate, validate, and make predictions with the General Unified Threshold model of Survival adapted for Bee species. The model is presented in the publication from Baas, J., Goussen, B., Miles, M., Preuss, T.G., Roessing, I. (submitted) and is based on the GUTS framework Jager, T., Albert, C., Preuss, T.G. and Ashauer, R. (2011) <doi:10.1021/es103092a>. The authors are grateful to Bayer A.G. for its financial support.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1), data.table, tidyr, ggplot2, cowplot, dplyr, magrittr, utils, gridExtra, odeGUTS
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
URL: https://github.com/bgoussen/BeeGUTS
BugReports: https://github.com/bgoussen/BeeGUTS/issues
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-07-21 14:42:01 UTC; gob
Author: Benoit Goussen [aut, cre] , Liubov Zakharova [ctb], Romoli Carlo [ctb], Bayer AG [cph]
Maintainer: Benoit Goussen <benoit.goussen@ibacon.com>
Repository: CRAN
Date/Publication: 2022-08-09 12:00:10 UTC

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Package dispRity updated to version 1.7.0 with previous version 1.6.9 dated 2022-04-26

Title: Measuring Disparity
Description: A modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph], Mark N Puttick [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

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Package caret updated to version 6.0-93 with previous version 6.0-92 dated 2022-04-19

Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models.
Author: Max Kuhn [aut, cre] , Jed Wing [ctb], Steve Weston [ctb], Andre Williams [ctb], Chris Keefer [ctb], Allan Engelhardt [ctb], Tony Cooper [ctb], Zachary Mayer [ctb], Brenton Kenkel [ctb], R Core Team [ctb], Michael Benesty [ctb], Reynald Lescarbeau [ct [...truncated...]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package BSBT updated to version 1.2.1 with previous version 1.2.0 dated 2021-12-21

Title: The Bayesian Spatial Bradley--Terry Model
Description: An implementation of the Bayesian Spatial Bradley--Terry (BSBT) model. It can be used to investigate data sets where judges compared different spatial areas. It constructs a network to describe how the areas are connected, and then places a correlated prior distribution on the quality parameter for each area, based on the network. The package includes MCMC algorithms to estimate the quality parameters. The methodology is published in Seymour et. al. (2020) <arXiv:2010.14128>.
Author: Rowland Seymour [aut, cre] , James Briant [aut], Yichi Zhang [aut]
Maintainer: Rowland Seymour <rowland.seymour@nottingham.ac.uk>

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Package sensitivity updated to version 1.27.1 with previous version 1.27.0 dated 2021-10-20

Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for sensitivity analysis of model outputs (factor screening, global sensitivity analysis and robustness analysis), as well as for interpretability of machine learning models. Most of the functions have to be applied on scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Sebastien Da Veiga, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Thibault Delage, Reda El Amri, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Margot Herin, Marouane Il Idrissi, Loic Le G [...truncated...]
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

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Package scholar updated to version 0.2.4 with previous version 0.2.3 dated 2022-06-23

Title: Analyse Citation Data from Google Scholar
Description: Provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.
Author: Guangchuang Yu [aut, cre] , James Keirstead [aut], Gregory Jefferis [aut] , Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package rxylib updated to version 0.2.8 with previous version 0.2.7 dated 2022-02-20

Title: Import XY-Data into R
Description: Provides access to the 'xylib' C library for to import xy data from powder diffraction, spectroscopy and other experimental methods.
Author: Sebastian Kreutzer [aut, trl, cre] , Johannes Friedrich [aut] , RLum Team [ctb], Marcin Wojdyr [cph] , Peng Zhang [cph]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@uni-heidelberg.de>

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Package quanteda updated to version 3.2.2 with previous version 3.2.1 dated 2022-03-01

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Paul Nulty [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , William Lowe [aut] , Christian Mueller [ctb], European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package oro.nifti updated to version 0.11.3 with previous version 0.11.2 dated 2022-06-10

Title: Rigorous - 'NIfTI' + 'ANALYZE' + 'AFNI' : Input / Output
Description: Functions for the input/output and visualization of medical imaging data that follow either the 'ANALYZE', 'NIfTI' or 'AFNI' formats. This package is part of the Rigorous Analytics bundle.
Author: Brandon Whitcher [aut, cre], Volker Schmid [aut], Andrew Thornton [aut], Karsten Tabelow [ctb], Jon Clayden [ctb], John Muschelli [aut]
Maintainer: Brandon Whitcher <bwhitcher@gmail.com>

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Package lefko3 updated to version 5.4.2 with previous version 5.3.0 dated 2022-06-24

Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Complete analytical environment for the construction and analysis of matrix population models and integral projection models. Includes the ability to construct historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices and raw and function-based Leslie matrices.
Author: Richard P. Shefferson [aut, cre] , Johan Ehrlen [aut]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package inti updated to version 0.5.7 with previous version 0.5.6 dated 2022-05-19

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and technical writing. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

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Package apollo updated to version 0.2.8 with previous version 0.2.7 dated 2022-01-26

Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit <http://www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and Hess, S. & Daly, A.J. (2014) <isbn:978-1-781-00314-5> for an overview of the field.
Author: Stephane Hess [aut, cre], David Palma [aut], Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>

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Package tswge updated to version 2.0.0 with previous version 1.0.0 dated 2016-12-05

Title: Time Series for Data Science
Description: Accompanies the texts Time Series for Data Science with R by Woodward, Sadler and Robertson & Applied Time Series Analysis with R, 2nd edition by Woodward, Gray, and Elliott. It is helpful for data analysis and for time series instruction.
Author: Wayne Woodward
Maintainer: Bivin Sadler <bsadler@smu.edu>

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Package sde updated to version 2.0.18 with previous version 2.0.15 dated 2016-04-13

Title: Simulation and Inference for Stochastic Differential Equations
Description: Companion package to the book Simulation and Inference for Stochastic Differential Equations With R Examples, ISBN 978-0-387-75838-1, Springer, NY.
Author: Stefano Maria Iacus
Maintainer: Stefano Maria Iacus <siacus@iq.harvard.edu>

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Package movecost updated to version 1.7 with previous version 1.6 dated 2022-03-18

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, least-cost corridors, least-cost networks using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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Package gson updated to version 0.0.7 with previous version 0.0.6 dated 2022-06-06

Title: Base Class and Methods for 'gson' Format
Description: Proposes a new file format ('gson') for storing gene set and related information, and provides read, write and other utilities to process this file format.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package xQTLbiolinks (with last version 1.1.1) was removed from CRAN

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

2022-07-14 1.1.1
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Package stlELM updated to version 0.1.1 with previous version 0.1.0 dated 2021-02-22

Title: Hybrid Forecasting Model Based on STL Decomposition and ELM
Description: Univariate time series forecasting with STL decomposition based Extreme Learning Machine hybrid model. For method details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.
Author: Girish Kumar Jha [aut, cre], Ronit Jaiswal [aut, ctb], Kapil Choudhary [ctb], Rajeev Ranjan Kumar [ctb]
Maintainer: Girish Kumar Jha <girish.stat@gmail.com>

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Package RPostgreSQL updated to version 0.7-4 with previous version 0.7-3 dated 2021-10-22

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, Dirk Eddelbuettel, Tomoaki Nishiyama, Sameer Kumar Prayaga , Neil Tiffin
Maintainer: Tomoaki Nishiyama <tomoakin@staff.kanazawa-u.ac.jp>

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Package inspectdf updated to version 0.0.12 with previous version 0.0.11 dated 2021-04-02

Title: Inspection, Comparison and Visualisation of Data Frames
Description: A collection of utilities for columnwise summary, comparison and visualisation of data frames. Functions report missingness, categorical levels, numeric distribution, correlation, column types and memory usage.
Author: Alastair Rushworth [aut, cre], David Wilkins [ctb]
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>

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Package EEMDelm updated to version 0.1.1 with previous version 0.1.0 dated 2021-01-14

Title: Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model
Description: Forecasting univariate time series with different decomposition based Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>, Parida M, Behera MK, Nayak N (2018). <doi:10.1109/ICSESP.2018.8376723>.
Author: Girish Kumar Jha [aut, cre], Kapil Choudhary [aut, ctb], Rajeev Ranjan Kumar [ctb], Ronit Jaiswal [ctb]
Maintainer: Girish Kumar Jha <girish.stat@gmail.com>

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Package nutrientr (with last version 0.1) was removed from CRAN

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Package latentcor updated to version 2.0.0 with previous version 1.2.1 dated 2022-06-07

Title: Fast Computation of Latent Correlations for Mixed Data
Description: The first stand-alone R package for computation of latent correlation that takes into account all variable types (continuous/binary/ordinal/zero-inflated), comes with an optimized memory footprint, and is computationally efficient, essentially making latent correlation estimation almost as fast as rank-based correlation estimation. The estimation is based on latent copula Gaussian models. For continuous/binary types, see Fan, J., Liu, H., Ning, Y., and Zou, H. (2017). For ternary type, see Quan X., Booth J.G. and Wells M.T. (2018) <arXiv:1809.06255>. For truncated type or zero-inflated type, see Yoon G., Carroll R.J. and Gaynanova I. (2020) <doi:10.1093/biomet/asaa007>. For approximation method of computation, see Yoon G., Müller C.L. and Gaynanova I. (2021) <doi:10.1080/10618600.2021.1882468>. The latter method uses multi-linear interpolation originally implemented in the R package <https://cran.r-project.org/package=chebpol>.
Author: Mingze Huang [aut, cre] , Grace Yoon [aut] , Christian M&uuml;ller [aut] , Irina Gaynanova [aut]
Maintainer: Mingze Huang <mingzehuang@gmail.com>

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 R/multilinear.R                 |only
 R/sysdata.rda                   |only
 R/tools.R                       |only
 README.md                       |    6 +
 inst/doc/latentcor.R            |    2 
 inst/doc/latentcor.Rmd          |    3 
 inst/doc/latentcor.html         |  117 +++++++++++++--------------
 inst/doc/latentcor_math.Rmd     |    2 
 inst/doc/latentcor_math.html    |   80 +++++++++---------
 man/evaluation.Rd               |only
 man/examples/latentcor_ex.R     |   20 ++--
 man/interpolant.Rd              |only
 man/interpolation.Rd            |only
 man/ipol.Rd                     |only
 man/latentcor.Rd                |   22 ++---
 man/mlappx.real.Rd              |only
 src                             |only
 tests/testthat/test_latentcor.R |  170 ++++++++++++++++++++--------------------
 vignettes/latentcor.Rmd         |    3 
 vignettes/latentcor_math.Rmd    |    2 
 30 files changed, 300 insertions(+), 262 deletions(-)

More information about latentcor at CRAN
Permanent link

Package OBL updated to version 0.2.0 with previous version 0.1.0 dated 2022-06-28

Title: Optimum Block Length
Description: Obtain optimum block from Non-overlapping Block Bootstrap method.
Author: Daniel James [cre, aut], Ayinde Kayode [aut]
Maintainer: Daniel James <futathesis@gmail.com>

Diff between OBL versions 0.1.0 dated 2022-06-28 and 0.2.0 dated 2022-08-09

 DESCRIPTION                     |    8 ++---
 MD5                             |   20 ++++++++------
 NAMESPACE                       |   13 ++++++---
 NEWS.md                         |only
 R/autoboot.R                    |   30 +++++++++------------
 R/blockplot.R                   |only
 inst/doc/OBL.R                  |   18 +++++++++++-
 inst/doc/OBL.Rmd                |   29 ++++++++++++++++++--
 inst/doc/OBL.html               |   56 ++++++++++++++++++++++++++++++----------
 man/This.Rd                     |   25 ++++++++++++++++-
 man/figures                     |only
 vignettes/OBL.Rmd               |   29 ++++++++++++++++++--
 vignettes/measurement_scale.PNG |only
 13 files changed, 172 insertions(+), 56 deletions(-)

More information about OBL at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.