Mon, 22 Aug 2022

Package simtrait updated to version 1.1.0 with previous version 1.0.21 dated 2021-08-16

Title: Simulate Complex Traits from Genotypes
Description: Simulate complex traits given a SNP genotype matrix and model parameters (the desired heritability, number of causal loci, and either the true ancestral allele frequencies used to generate the genotypes or the mean kinship for a real dataset). Emphasis on avoiding common biases due to the use of estimated allele frequencies. The code selects random loci to be causal, constructs coefficients for these loci and random independent non-genetic effects, and can optionally generate random group effects. Traits can follow three models: random coefficients, fixed effect sizes, and infinitesimal (multivariate normal). GWAS method benchmarking functions are also provided. Described in Yao and Ochoa (2022) <doi:10.1101/2022.03.25.485885>.
Author: Alejandro Ochoa [aut, cre]
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>

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Package traineR updated to version 2.0.4 with previous version 1.7.4 dated 2022-04-29

Title: Predictive (Classification and Regression) Models Homologator
Description: Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004) <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>, ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>, Random Forest Breiman (2001) <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) <doi:10.1201/9780429258411>, Linear Discriminant Analysis Venables, W. N., & Ripley, B. D. ( [...truncated...]
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [aut], Ariel Arroyo S. [aut], Diego Jimenez A. [ctb]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

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Package Rssa updated to version 1.0.5 with previous version 1.0.4 dated 2021-10-05

Title: A Collection of Methods for Singular Spectrum Analysis
Description: Methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series. General description of the methods with many examples can be found in the book Golyandina (2018, <doi:10.1007/978-3-662-57380-8>). See 'citation("Rssa")' for details.
Author: Anton Korobeynikov, Alex Shlemov, Konstantin Usevich, Nina Golyandina
Maintainer: Anton Korobeynikov <anton@korobeynikov.info>

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Package proxyC updated to version 0.3.1 with previous version 0.3.0 dated 2022-08-05

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] , Robrecht Cannoodt [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package wordspace updated to version 0.2-8 with previous version 0.2-7 dated 2022-02-22

Title: Distributional Semantic Models in R
Description: An interactive laboratory for research on distributional semantic models ('DSM', see <https://en.wikipedia.org/wiki/Distributional_semantics> for more information).
Author: Stephanie Evert [cre, aut]
Maintainer: Stephanie Evert <stephanie.evert@fau.de>

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Package starsTileServer updated to version 0.1.1 with previous version 0.1 dated 2022-01-21

Title: A Dynamic Tile Server for R
Description: Makes it possible to serve map tiles for web maps (e.g. leaflet) based on a function or a stars object without having to render them in advance. This enables parallelization of the rendering, separating the data source and visualization location and to provide web services.
Author: Bart Kranstauber [aut, cre]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

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Package spatialfusion updated to version 0.6-6 with previous version 0.6-5 dated 2022-01-25

Title: Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework
Description: Multivariate modelling of geostatistical (point), lattice (areal) and point pattern data in a unifying spatial fusion framework. Details are given in Wang and Furrer (2021) <doi:10.1016/j.csda.2021.107240>. Model inference is done using either 'Stan' <https://mc-stan.org/> or 'INLA' <https://www.r-inla.org/>.
Author: Craig Wang [aut, cre] , Reinhard Furrer [ctb]
Maintainer: Craig Wang <craigwang247@gmail.com>

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Package rstudioapi updated to version 0.14 with previous version 0.13 dated 2020-11-12

Title: Safely Access the RStudio API
Description: Access the RStudio API (if available) and provide informative error messages when it's not.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], Hadley Wickham [aut], Gary Ritchie [aut], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package DisImpact updated to version 0.0.19 with previous version 0.0.18 dated 2022-06-07

Title: Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups
Description: Implements methods for calculating disproportionate impact: the percentage point gap, proportionality index, and the 80% index. California Community Colleges Chancellor's Office (2017). Percentage Point Gap Method. <https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Research/Files/PercentagePointGapMethod2017.ashx>. California Community Colleges Chancellor's Office (2014). Guidelines for Measuring Disproportionate Impact in Equity Plans. <https://www.cccco.edu/-/media/CCCCO-Website/Files/DII/guidelines-for-measuring-disproportionate-impact-in-equity-plans-tfa-ada.pdf>.
Author: Vinh Nguyen [aut, cre]
Maintainer: Vinh Nguyen <nguyenvq714@gmail.com>

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Package catalog updated to version 0.1.1 with previous version 0.1.0 dated 2021-03-20

Title: Access the 'Spark Catalog' API via 'sparklyr'
Description: Gain access to the 'Spark Catalog' API making use of the 'sparklyr' API. 'Catalog' <https://spark.apache.org/docs/2.4.3/api/java/org/apache/spark/sql/catalog/Catalog.html> is the interface for managing a metastore (aka metadata catalog) of relational entities (e.g. database(s), tables, functions, table columns and temporary views).
Author: Nathan Eastwood [aut, cre]
Maintainer: Nathan Eastwood <nathan.eastwood@icloud.com>

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Package canadacovid updated to version 0.3.4 with previous version 0.3.3 dated 2022-02-07

Title: API Wrapper for the Canadian COVID-19 Tracker
Description: Provides R functions to GET data from the Canadian COVID-19 tracker API <https://api.covid19tracker.ca>.
Author: Taylor Dunn [aut, cre]
Maintainer: Taylor Dunn <t.dunn19@gmail.com>

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Package iNZightTools updated to version 1.12.3 with previous version 1.12.2 dated 2022-01-18

Title: Tools for 'iNZight'
Description: Provides a collection of wrapper functions for common variable and dataset manipulation workflows primarily used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Additionally, many of the functions return the 'tidyverse' code used to obtain the result in an effort to bridge the gap between GUI and coding.
Author: Tom Elliott [aut, cre] , Daniel Barnett [aut], Owen Jin [aut], Yiwen He [aut], Christoph Knopf [ctb], Akshay Gupta [ctb], Lushi Cai [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

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Package bsTools updated to version 1.0.4 with previous version 1.0.3 dated 2022-08-08

Title: Create HTML Content with Bootstrap 5 Classes and Layouts
Description: Functions are pre-configured to utilize Bootstrap 5 classes and HTML structures to create Bootstrap-styled HTML quickly and easily. Includes functions for creating common Bootstrap elements such as containers, rows, cols, navbars, etc. Intended to be used with the html5 package. Learn more at <https://getbootstrap.com/>.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

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Package PNAR updated to version 1.1 with previous version 1.0 dated 2022-06-08

Title: Poisson Network Autoregressive Models
Description: Quasi likelihood-based methods for estimating Poisson Network Autoregression with p lags, PNAR, following generalized linear models are provided. PNAR models with the identity and with the logarithmic link function are allowed. The inclusion of exogenous covariates is also possible. Moreover, it provides tools for testing the linearity of linear PNAR model versus several nonlinear alternatives. Finally, it allows generating multivariate count distributions, from linear and nonlinear PNAR models, where the dependence between Poisson random variables is generated by suitable copulas. References include: Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression. <arXiv:2104.06296>. Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. <arXiv:2202.03852>.
Author: Michail Tsagris [aut, cre], Mirko Armillotta [aut, cph], Konstantinos Fokianos [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between PNAR versions 1.0 dated 2022-06-08 and 1.1 dated 2022-08-22

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Package image2data updated to version 1.0.1 with previous version 1.0.0 dated 2022-02-24

Title: Turn Images into Data Sets
Description: The goal of 'image2data' is to extract images and return them into a data set, especially for teaching data manipulation and data visualization. Basically, the eponymous function takes an image file ('png', 'tiff', 'jpeg', 'bmp') and turn it into a data set, pixels being rows (subjects) and columns (variables) being their coordinate positions (x- and y-axis) and their respective color (in hex codes). The function can return a complete image or a range of color (i.e., contour, silhouette). The data can then be manipulated as would any data set by either creating other related variables (to hide the image) or as a genuine toy data set.
Author: P.-O. Caron [aut, cre, cph] , Alexandre Dufresne [aut, cph]
Maintainer: P.-O. Caron <pocaron19@gmail.com>

Diff between image2data versions 1.0.0 dated 2022-02-24 and 1.0.1 dated 2022-08-22

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Package haven updated to version 2.5.1 with previous version 2.5.0 dated 2022-04-15

Title: Import and Export 'SPSS', 'Stata' and 'SAS' Files
Description: Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>.
Author: Hadley Wickham [aut, cre], Evan Miller [aut, cph] , Danny Smith [aut], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between haven versions 2.5.0 dated 2022-04-15 and 2.5.1 dated 2022-08-22

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Package dixonTest updated to version 1.0.4 with previous version 1.0.3 dated 2021-05-20

Title: Dixon's Ratio Test for Outlier Detection
Description: For outlier detection in small and normally distributed samples the ratio test of Dixon (Q-test) can be used. Density, distribution function, quantile function and random generation for Dixon's ratio statistics are provided as wrapper functions. The core applies McBane's Fortran functions <doi:10.18637/jss.v016.i03> that use Gaussian quadrature for a numerical solution.
Author: Thorsten Pohlert [aut, cre] , George C. McBane [ctb]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

Diff between dixonTest versions 1.0.3 dated 2021-05-20 and 1.0.4 dated 2022-08-22

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Package spfilteR updated to version 1.1.5 with previous version 1.1.4 dated 2022-03-09

Title: Semiparametric Spatial Filtering with Eigenvectors in (Generalized) Linear Models
Description: Tools to decompose (transformed) spatial connectivity matrices and perform supervised or unsupervised semiparametric spatial filtering in a regression framework. The package supports unsupervised spatial filtering in standard linear as well as some generalized linear regression models.
Author: Sebastian Juhl [aut, cre]
Maintainer: Sebastian Juhl <sebastian.juhl@t-online.de>

Diff between spfilteR versions 1.1.4 dated 2022-03-09 and 1.1.5 dated 2022-08-22

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Package infer updated to version 1.0.3 with previous version 1.0.2 dated 2022-06-10

Title: Tidy Statistical Inference
Description: The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework.
Author: Andrew Bray [aut], Chester Ismay [aut] , Evgeni Chasnovski [aut] , Simon Couch [aut, cre] , Ben Baumer [aut] , Mine Cetinkaya-Rundel [aut] , Ted Laderas [ctb] , Nick Solomon [ctb], Johanna Hardin [ctb], Albert Y. Kim [ctb] , Neal Fultz [ctb], Doug Fr [...truncated...]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>

Diff between infer versions 1.0.2 dated 2022-06-10 and 1.0.3 dated 2022-08-22

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Package chromatographR updated to version 0.4.3 with previous version 0.4.1 dated 2022-05-19

Title: Chromatographic Data Analysis Toolset
Description: Tools for high-throughput analysis of HPLC-DAD/UV chromatograms (or similar data). Includes functions for preprocessing, alignment, peak-finding and fitting, peak-table construction, data-visualization, etc. Preprocessing and peak-table construction follow the rough formula laid out in alsace (Wehrens, R., Bloemberg, T.G., and Eilers P.H.C., 2015. <doi:10.1093/bioinformatics/btv299>. Alignment of chromatograms is available using parametric time warping (ptw) (Wehrens, R., Bloemberg, T.G., and Eilers P.H.C. 2015. <doi:10.1093/bioinformatics/btv299>) or variable penalty dynamic time warping (VPdtw) (Clifford, D., & Stone, G. 2012. <doi:10.18637/jss.v047.i08>). Peak-finding uses the algorithm by Tom O'Haver <http://terpconnect.umd.edu/~toh/spectrum/PeakFindingandMeasurement.htm>. Peaks are then fitted to a gaussian or exponential-gaussian hybrid peak shape using non-linear least squares (Lan, K. & Jorgenson, J. W. 2001. <doi:10.1016/S0021-9673(01)00594-5 [...truncated...]
Author: Ethan Bass [aut, cre]
Maintainer: Ethan Bass <ethanbass@gmail.com>

Diff between chromatographR versions 0.4.1 dated 2022-05-19 and 0.4.3 dated 2022-08-22

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Package randNames (with last version 0.2.3) was removed from CRAN

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

2016-07-03 0.2.3
2016-04-11 0.2.2
2015-08-03 0.2.1
2015-04-28 0.2

Permanent link
Package stuart updated to version 0.10.1 with previous version 0.10.0 dated 2022-05-23

Title: Subtests Using Algorithmic Rummaging Techniques
Description: Construct subtests from a pool of items by using ant-colony-optimization, genetic algorithms, brute force, or random sampling. Schultze (2017) <doi:10.17169/refubium-622>.
Author: Martin Schultze [aut, cre], Johanna Schueller [ctb]
Maintainer: Martin Schultze <schultze@psych.uni-frankfurt.de>

Diff between stuart versions 0.10.0 dated 2022-05-23 and 0.10.1 dated 2022-08-22

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Package poissonreg updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-15

Title: Model Wrappers for Poisson Regression
Description: Bindings for Poisson regression models for use with the 'parsnip' package. Models include simple generalized linear models, Bayesian models, and zero-inflated Poisson models (Zeileis, Kleiber, and Jackman (2008) <doi:10.18637/jss.v027.i08>).
Author: Max Kuhn [aut] , Hannah Frick [aut, cre] , RStudio [cph, fnd]
Maintainer: Hannah Frick <hannah@rstudio.com>

Diff between poissonreg versions 1.0.0 dated 2022-06-15 and 1.0.1 dated 2022-08-22

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Package mniw updated to version 1.0.1 with previous version 1.0 dated 2019-10-09

Title: The Matrix-Normal Inverse-Wishart Distribution
Description: Density evaluation and random number generation for the Matrix-Normal Inverse-Wishart (MNIW) distribution, as well as the the Matrix-Normal, Matrix-T, Wishart, and Inverse-Wishart distributions. Core calculations are implemented in a portable (header-only) C++ library, with matrix manipulations using the 'Eigen' library for linear algebra. Also provided is a Gibbs sampler for Bayesian inference on a random-effects model with multivariate normal observations.
Author: Martin Lysy [aut, cre], Bryan Yates [aut]
Maintainer: Martin Lysy <mlysy@uwaterloo.ca>

Diff between mniw versions 1.0 dated 2019-10-09 and 1.0.1 dated 2022-08-22

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Package LMN updated to version 1.1.3 with previous version 1.1.2 dated 2022-02-28

Title: Inference for Linear Models with Nuisance Parameters
Description: Efficient Frequentist profiling and Bayesian marginalization of parameters for which the conditional likelihood is that of a multivariate linear regression model. Arbitrary inter-observation error correlations are supported, with optimized calculations provided for independent-heteroskedastic and stationary dependence structures.
Author: Martin Lysy [aut, cre], Bryan Yates [aut]
Maintainer: Martin Lysy <mlysy@uwaterloo.ca>

Diff between LMN versions 1.1.2 dated 2022-02-28 and 1.1.3 dated 2022-08-22

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New package VARSELECTEXPOSURE with initial version 1.0.1
Package: VARSELECTEXPOSURE
Title: Variable Selection Methods Including an Exposure Variable
Version: 1.0.1
Author: Alex Martinez [aut, cre], Andrew Chapple [aut]
Maintainer: Alex Martinez <ahmartinez283@gmail.com>
Description: Utilizes multiple variable selection methods to estimate Average Treatment Effect and Relative Treatment Effect.
License: GPL-2
Imports: Rcpp (>= 0.12.18)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-08-20 20:33:40 UTC; Alex
Repository: CRAN
Date/Publication: 2022-08-22 15:10:02 UTC

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New package PsychWordVec with initial version 0.1.0
Package: PsychWordVec
Title: Word Embedding Research Framework for Psychological Science
Version: 0.1.0
Date: 2022-08-21
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>
Description: An integrated toolkit of word embedding research that provides: (1) a collection of 'pre-trained' word vectors in the '.RData' compressed format <https://psychbruce.github.io/WordVector_RData.pdf>; (2) a variety of functions to process, analyze, and visualize word vectors; (3) a range of tests to examine conceptual associations, including the Word Embedding Association Test <doi:10.1126/science.aal4230> and the Relative Norm Distance <doi:10.1073/pnas.1720347115>; (4) a set of training methods to locally train word vectors from text corpora, including 'Word2Vec' <arXiv:1301.3781>, 'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <arXiv:1607.04606>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://psychbruce.github.io/PsychWordVec/
BugReports: https://github.com/psychbruce/PsychWordVec/issues
Depends: R (>= 4.0.0)
Imports: bruceR, dplyr, stringr, data.table, vroom, ggplot2, ggrepel, Rtsne, rgl, rsparse, text2vec, word2vec, fastTextR
Suggests: wordsalad, sweater
NeedsCompilation: no
Packaged: 2022-08-21 04:13:36 UTC; Bruce
Repository: CRAN
Date/Publication: 2022-08-22 15:20:02 UTC

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New package IntLIM with initial version 2.0.2
Package: IntLIM
Title: Integration of Omics Data Using Linear Modeling
Version: 2.0.2
Description: This workflow takes analyte levels from two different types of analytes (e.g. gene expression and metabolite abundance), meta-information on each analyte type, and sample outcome and metadata to identify analyte pairs that are significantly associated with a continuous or discrete outcome (e.g. drug response or tumor type). The following references describe the methods in this package: (1) Jalal K. Siddiqui, et al. (2018) <doi:10.1186/s12859-018-2085-6>, (2) Andrew Patt, et al. (2019) <doi:10.1007/978-1-4939-9027-6_23>.
License: GPL-2
Depends: R (>= 3.2.0)
Imports: ComplexHeatmap, DT, ggplot2, graphics, grDevices, heatmaply, highcharter, htmltools, KernSmooth, margins, methods, MASS, RColorBrewer, reshape2, rmarkdown, shiny, shinydashboard, shinyFiles, shinyjs, stats, testthat, utils
Suggests: knitr,
Encoding: UTF-8
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2022-08-20 18:54:52 UTC; eichertd
Author: Jalal Siddiqui [aut], Shunchao Wang [aut], Rohith Vanam [aut], Elizabeth Baskin [aut], Tara Eicher [aut, cre], Kyle Spencer [aut], Ewy Mathe [aut]
Maintainer: Tara Eicher <tara.eicher@nih.gov>
Repository: CRAN
Date/Publication: 2022-08-22 15:10:04 UTC

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Package callr updated to version 3.7.2 with previous version 3.7.1 dated 2022-07-13

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
Author: Gabor Csardi [aut, cre, cph] , Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between callr versions 3.7.1 dated 2022-07-13 and 3.7.2 dated 2022-08-22

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Package viridisLite updated to version 0.4.1 with previous version 0.4.0 dated 2021-04-13

Title: Colorblind-Friendly Color Maps (Lite Version)
Description: Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This is the 'lite' version of the 'viridis' package that also contains 'ggplot2' bindings for discrete and continuous color and fill scales and can be found at <https://cran.r-project.org/package=viridis>.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Antônio Pedro Camargo [ctb, cph], Cedric Scherer [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between viridisLite versions 0.4.0 dated 2021-04-13 and 0.4.1 dated 2022-08-22

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 MD5                |   10 ++++----
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 6 files changed, 76 insertions(+), 71 deletions(-)

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New package truncnormbayes with initial version 0.0.1
Package: truncnormbayes
Title: Estimates Moments for a Truncated Normal Distribution using 'Stan'
Version: 0.0.1
Description: Finds the posterior modes for the mean and standard deviation for a truncated normal distribution with one or two known truncation points. The method used extends Bayesian methods for parameter estimation for a singly truncated normal distribution under the Jeffreys prior (see Zhou X, Giacometti R, Fabozzi FJ, Tucker AH (2014). "Bayesian estimation of truncated data with applications to operational risk measurement". <doi:10.1080/14697688.2012.752103>). This package additionally allows for a doubly truncated normal distribution.
URL: https://github.com/leonkt/truncnormbayes
BugReports: https://github.com/leonkt/truncnormbayes/issues
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), Rdpack, rstan (>= 2.18.1), rstantools (>= 2.2.0), stats
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)
Suggests: testthat (>= 3.0.0), truncnorm (>= 1.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2022-08-19 20:53:10 UTC; mbraginsky
Author: Mika Braginsky [aut, cre], Leon Tran [aut], Maya Mathur [ctb]
Maintainer: Mika Braginsky <mika.br@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-22 14:40:02 UTC

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New package singR with initial version 0.1.0
Package: singR
Title: Simultaneous Non-Gaussian Component Analysis
Version: 0.1.0
Date: 2022-07-28
Author: Liangkang Wang [aut, cre] , Irina Gaynanova [aut] , Benjamin Risk [aut]
Maintainer: Liangkang Wang <wangliangkang1130@gmail.com>
Description: Implementation of SING algorithm to extract joint and individual non-Gaussian components from two datasets. SING uses an objective function that maximizes the skewness and kurtosis of latent components with a penalty to enhance the similarity between subject scores. Unlike other existing methods, SING does not use PCA for dimension reduction, but rather uses non-Gaussianity, which can improve feature extraction. Benjamin B.Risk, Irina Gaynanova (2021) <doi:10.1214/21-AOAS1466>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: MASS (>= 7.3-57), Rcpp (>= 1.0.8.3), clue (>= 0.3-61), gam (>= 1.20.1), ICtest (>= 0.3-5)
Suggests: knitr, covr, testthat (>= 3.0.0), rmarkdown
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-08-19 22:51:59 UTC; wangl
Repository: CRAN
Date/Publication: 2022-08-22 14:40:04 UTC

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New package mMARCH.AC with initial version 2.4.0.0
Package: mMARCH.AC
Version: 2.4.0.0
Date: 2022-08-15
Title: Processing of Accelerometry Data with 'GGIR' in mMARCH
Maintainer: Wei Guo <wei.guo3@nih.gov>
Description: Mobile Motor Activity Research Consortium for Health (mMARCH) is a collaborative network of studies of clinical and community samples that employ common clinical, biological, and digital mobile measures across involved studies. One of the main scientific goals of mMARCH sites is developing a better understanding of the inter-relationships between accelerometry-measured physical activity (PA), sleep (SL), and circadian rhythmicity (CR) and mental and physical health in children, adolescents, and adults. Currently, there is no consensus on a standard procedure for a data processing pipeline of raw accelerometry data, and few open-source tools to facilitate their development. The R package 'GGIR' is the most prominent open-source software package that offers great functionality and tremendous user flexibility to process raw accelerometry data. However, even with 'GGIR', processing done in a harmonized and reproducible fashion requires a non-trivial amount of expertise combined with a careful implementation. In addition, novel accelerometry-derived features of PA/SL/CR capturing multiscale, time-series, functional, distributional and other complimentary aspects of accelerometry data being constantly proposed and become available via non-GGIR R implementations. To address these issues, mMARCH developed a streamlined harmonized and reproducible pipeline for loading and cleaning raw accelerometry data, extracting features available through 'GGIR' as well as through non-GGIR R packages, implementing several data and feature quality checks, merging all features of PA/SL/CR together, and performing multiple analyses including Joint Individual Variation Explained (JIVE), an unsupervised machine learning dimension reduction technique that identifies latent factors capturing joint across and individual to each of three domains of PA/SL/CR. In detail, the pipeline generates all necessary R/Rmd/shell files for data processing after running 'GGIR' (v2.4.0) for accelerometer data. In module 1, all csv files in the 'GGIR' output directory were read, transformed and then merged. In module 2, the 'GGIR' output files were checked and summarized in one excel sheet. In module 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In module 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data.
URL: https://github.com/WeiGuoNIMH/mMARCH.AC
BugReports: https://github.com/WeiGuoNIMH/mMARCH.AC/issues
License: GPL-3
Imports: refund, denseFLMM, dplyr, xlsx, survival, stats, tidyr, zoo, ineq, cosinor, cosinor2, abind, accelerometry, ActCR, ActFrag, minpack.lm, kableExtra, GGIR
Depends: R (>= 3.6.0)
Suggests: knitr, rmarkdown
Encoding: UTF-8
ByteCompile: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-18 14:03:02 UTC; guow4
Author: Wei Guo [aut, cre], Andrew Leroux [aut], Vadim Zipunnikov [aut], Kathleen Merikangas [aut]
Repository: CRAN
Date/Publication: 2022-08-22 14:30:02 UTC

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New package mixSSG with initial version 1.1.1
Package: mixSSG
Title: Clustering Using Mixtures of Sub Gaussian Stable Distributions
Date: 2022-08-19
Author: Mahdi Teimouri [aut, cre, cph, ctb]
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>
Description: Developed for model-based clustering using the finite mixtures of skewed sub-Gaussian stable distributions developed by Teimouri (2022) <arXiv:2205.14067>.
Encoding: UTF-8
License: GPL (>= 2)
Depends: R(>= 3.4.3)
Imports: ars, MASS, rootSolve
Repository: CRAN
Version: 1.1.1
NeedsCompilation: no
Packaged: 2022-08-19 22:18:15 UTC; NikPardaz
Date/Publication: 2022-08-22 14:40:07 UTC

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New package mFDP with initial version 0.1.0
Package: mFDP
Title: Flexible Control of the mFDP
Version: 0.1.0
Date: 2022-08-19
Maintainer: Jesse Hemerik <jesse.hemerik@wur.nl>
Description: Computes bounds for the median of the false discovery proportion (mFDP). These 50 percent confidence bounds for the FDP are simultaneously valid. The method takes a vector of p-values as input. Also provides mFDP-adjusted p-values. Can be used for flexible mFDP control.
License: GNU General Public License
Imports: methods
NeedsCompilation: no
Packaged: 2022-08-19 17:45:53 UTC; Jesse
Author: Jesse Hemerik [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-22 14:30:05 UTC

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Package ICEbox updated to version 1.1.5 with previous version 1.1.2 dated 2017-07-13

Title: Individual Conditional Expectation Plot Toolbox
Description: Implements Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. ICE plots refine Friedman's partial dependence plot by graphing the functional relationship between the predicted response and a covariate of interest for individual observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate of interest, suggesting where and to what extent they may exist.
Author: Alex Goldstein, Adam Kapelner, Justin Bleich
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between ICEbox versions 1.1.2 dated 2017-07-13 and 1.1.5 dated 2022-08-22

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New package handyFunctions with initial version 0.1.0
Package: handyFunctions
Title: Useful Functions for Handfully Manipulating and Analyzing Data with Data.frame Format
Version: 0.1.0
Author: Hongfei Liu
Maintainer: Hongfei Liu <lhf563@126.com>
URL: https://github.com/LuffyLouis/handyFunctions
BugReports: https://github.com/LuffyLouis/handyFunctions/issues
Description: Some useful functions for simply manipulating and analyzing data with data.frame format. It mainly includes the following sections: ReformatDataframe (reformat dataframe with the modifiers), InteractDataframe, and Post-VCF (for downstream analysis for data generated from 'vcftools' Petr et al (2011) <doi:10.1093/bioinformatics/btr330> or 'plink' Chang et al (2015) <doi:10.1186/s13742-015-0047-8>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: ggplot2 (>= 3.0), methods, rlang, stats (>= 3.0), stringr (>= 1.0)
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-08-20 01:25:45 UTC; liuhongfei
Repository: CRAN
Date/Publication: 2022-08-22 14:50:02 UTC

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Package gestalt updated to version 0.2.0 with previous version 0.1.9 dated 2022-02-02

Title: Tools for Making and Combining Functions
Description: Provides a suite of function-building tools centered around a (forward) composition operator, %>>>%, which extends the semantics of the 'magrittr' %>% operator and supports 'Tidyverse' quasiquotation. It enables you to construct composite functions that can be inspected and transformed as list-like objects. In conjunction with %>>>%, a compact function constructor, fn(), and a partial-application constructor, partial(), are also provided; both support quasiquotation.
Author: Eugene Ha [aut, cre]
Maintainer: Eugene Ha <eha@posteo.de>

Diff between gestalt versions 0.1.9 dated 2022-02-02 and 0.2.0 dated 2022-08-22

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 27 files changed, 645 insertions(+), 689 deletions(-)

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New package geneHapR with initial version 1.0.8
Package: geneHapR
Title: Gene Haplotype Statistics, Phenotype Association and Visualization
Description: Import genome variants data and perform gene haplotype Statistics, visualization and phenotype association with 'R'.
Encoding: UTF-8
Maintainer: Zhang Renliang <zhang_renliang@163.com>
Version: 1.0.8
LazyData: True
Imports: ape, Biostrings, ggpubr, GenomicRanges, magrittr, maps, methods, muscle, IRanges, pegas, reshape2, rlang, rtracklayer, trackViewer, stats, stringdist, stringr, tibble, tidyr, utils, vcfR
Depends: ggplot2, R (>= 4.0.0)
Suggests: mapdata, maptools, knitr, rmarkdown
License: GPL-3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-18 23:40:35 UTC; zhang
Author: Zhang Renliang [aut, cre], Jia Guanqing [aut]
Repository: CRAN
Date/Publication: 2022-08-22 14:30:08 UTC

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New package EpiSemble with initial version 0.1.0
Package: EpiSemble
Title: Ensemble Based Machine Learning Approach for Predicting Methylation States
Version: 0.1.0
Author: Dipro Sinha [aut, cre], Sunil Archak [aut], Dwijesh Chandra Mishra [aut], Tanwy Dasmandal [aut], Md Yeasin [aut]
Maintainer: Dipro Sinha <diprosinha@gmail.com>
Description: DNA methylation (6mA) is a major epigenetic process by which alteration in gene expression took place without changing the DNA sequence. Predicting these sites in-vitro is laborious, time consuming as well as costly. This 'EpiSemble' package is an in-silico pipeline for predicting DNA sequences containing the 6mA sites. It uses an ensemble-based machine learning approach by combining Support Vector Machine (SVM), Random Forest (RF) and Gradient Boosting approach to predict the sequences with 6mA sites in it. This package has been developed by using the concept of Chen et al. (2019) <doi:10.1093/bioinformatics/btz015>.
License: GPL-3
Encoding: UTF-8
Imports: stats, devtools, tidyverse, seqinr, Biostrings, splitstackshape, entropy, party, stringr, tibble, doParallel, parallel, e1071, caret, randomForest, gbm, foreach, ftrCOOL, iterators
NeedsCompilation: no
Packaged: 2022-08-20 12:15:24 UTC; YEASIN
Repository: CRAN
Date/Publication: 2022-08-22 15:00:05 UTC

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Package tramnet updated to version 0.0-7 with previous version 0.0-6 dated 2021-07-19

Title: Penalized Transformation Models
Description: Partially penalized versions of specific transformation models implemented in package 'mlt'. Available models include a fully parametric version of the Cox model, other parametric survival models (Weibull, etc.), models for binary and ordered categorical variables, normal and transformed-normal (Box-Cox type) linear models, and continuous outcome logistic regression. Hyperparameter tuning is facilitated through model-based optimization functionalities from package 'mlrMBO'. The accompanying vignette describes the methodology used in 'tramnet' in detail. Transformation models and model-based optimization are described in Hothorn et al. (2019) <doi:10.1111/sjos.12291> and Bischl et al. (2016) <arxiv:1703.03373>, respectively.
Author: Lucas Kook [cre, aut], Balint Tamasi [ctb], Sandra Siegfried [ctb], Samuel Pawel [ctb], Torsten Hothorn [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@uzh.ch>

Diff between tramnet versions 0.0-6 dated 2021-07-19 and 0.0-7 dated 2022-08-22

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 12 files changed, 34 insertions(+), 43 deletions(-)

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Package thinkr updated to version 0.16 with previous version 0.15 dated 2020-07-07

Title: Tools for Cleaning Up Messy Files
Description: Some tools for cleaning up messy 'Excel' files to be suitable for R. People who have been working with 'Excel' for years built more or less complicated sheets with names, characters, formats that are not homogeneous. To be able to use them in R nowadays, we built a set of functions that will avoid the majority of importation problems and keep all the data at best.
Author: Vincent Guyader [aut, cre] , Sebastien Rochette [aut] , ThinkR [cph]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

Diff between thinkr versions 0.15 dated 2020-07-07 and 0.16 dated 2022-08-22

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Package bdpar updated to version 3.0.3 with previous version 3.0.2 dated 2022-05-18

Title: Big Data Preprocessing Architecture
Description: Provide a tool to easily build customized data flows to pre-process large volumes of information from different sources. To this end, 'bdpar' allows to (i) easily use and create new functionalities and (ii) develop new data source extractors according to the user needs. Additionally, the package provides by default a predefined data flow to extract and pre-process the most relevant information (tokens, dates, ... ) from some textual sources (SMS, Email, tweets, YouTube comments).
Author: Miguel Ferreiro-Diaz [aut, cre], David Ruano-Ordas [aut, ctr], Tomas R. Cotos-Yanez [aut, ctr], Jose Ramon Mendez Reboredo [aut, ctr], University of Vigo [cph]
Maintainer: Miguel Ferreiro-Diaz <miguel.ferreiro.diaz@gmail.com>

Diff between bdpar versions 3.0.2 dated 2022-05-18 and 3.0.3 dated 2022-08-22

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Package statgenMPP updated to version 1.0.1 with previous version 1.0.0 dated 2022-03-21

Title: QTL Mapping for Multi Parent Populations
Description: For Multi Parent Populations (MPP) Identity By Descend (IBD) probabilities are computed using Hidden Markov Models. These probabilities are then used in a mixed model approach for QTL Mapping as described in Li et al. (<doi:10.1007/s00122-021-03919-7>).
Author: Wenhao Li [aut] , Martin Boer [aut] , Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [ctb]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between statgenMPP versions 1.0.0 dated 2022-03-21 and 1.0.1 dated 2022-08-22

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 statgenMPP-1.0.1/statgenMPP/R/selQTLMPP.R                                      |  489 +++---
 statgenMPP-1.0.1/statgenMPP/R/statgenMPP.R                                     |   13 
 statgenMPP-1.0.1/statgenMPP/R/utils.R                                          |  162 +-
 statgenMPP-1.0.1/statgenMPP/README.md                                          |    3 
 statgenMPP-1.0.1/statgenMPP/build/partial.rdb                                  |binary
 statgenMPP-1.0.1/statgenMPP/build/vignette.rds                                 |binary
 statgenMPP-1.0.1/statgenMPP/inst/doc/QTLMapping_in_MultiParentPopulations.R    |   32 
 statgenMPP-1.0.1/statgenMPP/inst/doc/QTLMapping_in_MultiParentPopulations.Rmd  |  780 +++++-----
 statgenMPP-1.0.1/statgenMPP/inst/doc/QTLMapping_in_MultiParentPopulations.html |  558 ++++---
 statgenMPP-1.0.1/statgenMPP/inst/extdata/multipop/AxBxCpheno.txt               |    2 
 statgenMPP-1.0.1/statgenMPP/inst/tinytest/ABC_MQM_max                          |binary
 statgenMPP-1.0.1/statgenMPP/inst/tinytest/gDataMPP                             |only
 statgenMPP-1.0.1/statgenMPP/inst/tinytest/test_createGDataMPP.R                |   98 -
 statgenMPP-1.0.1/statgenMPP/inst/tinytest/test_createQTLmpp.R                  |   96 -
 statgenMPP-1.0.1/statgenMPP/inst/tinytest/test_gDataMPP.R                      |only
 statgenMPP-1.0.1/statgenMPP/inst/tinytest/test_kinshipIBD.R                    |only
 statgenMPP-1.0.1/statgenMPP/inst/tinytest/test_readRABBIT.R                    |   46 
 statgenMPP-1.0.1/statgenMPP/inst/tinytest/test_selQTLmpp.R                     |  130 -
 statgenMPP-1.0.1/statgenMPP/man/createGDataMPP.Rd                              |only
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 statgenMPP-1.0.1/statgenMPP/man/plot.QTLMPP.Rd                                 |  284 +--
 statgenMPP-1.0.1/statgenMPP/man/plot.gDataMPP.Rd                               |    2 
 statgenMPP-1.0.1/statgenMPP/man/randomQTLmodel.Rd                              |   40 
 statgenMPP-1.0.1/statgenMPP/man/readRABBITMPP.Rd                               |only
 statgenMPP-1.0.1/statgenMPP/man/scanQTL.Rd                                     |   45 
 statgenMPP-1.0.1/statgenMPP/man/selQTLMPP.Rd                                   |  182 +-
 statgenMPP-1.0.1/statgenMPP/man/statgenMPP-package.Rd                          |   52 
 statgenMPP-1.0.1/statgenMPP/man/summary.QTLMPP.Rd                              |   88 -
 statgenMPP-1.0.1/statgenMPP/man/summary.gDataMPP.Rd                            |    2 
 statgenMPP-1.0.1/statgenMPP/vignettes/QTLMapping_in_MultiParentPopulations.Rmd |  780 +++++-----
 45 files changed, 2979 insertions(+), 2954 deletions(-)

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Package RMOPI updated to version 1.1 with previous version 1.0 dated 2022-08-19

Title: Risk Management and Optimization for Portfolio Investment
Description: Provides functions for risk management and portfolio investment of securities with practical tools for data processing and plotting. Moreover, it contains functions which perform the COS Method, an option pricing method based on the Fourier-cosine series (Fang, F. (2008) <doi:10.1137/080718061>).
Author: Wei Ling [aut, cre], Yang Liu [aut]
Maintainer: Wei Ling <lingwei3418@163.com>

Diff between RMOPI versions 1.0 dated 2022-08-19 and 1.1 dated 2022-08-22

 DESCRIPTION       |    6 +++---
 MD5               |   10 +++++-----
 R/cos.R           |    2 +-
 R/ggplot.R        |   13 ++++++-------
 man/gghistplot.Rd |    4 ++--
 man/gglineplot.Rd |    6 ++----
 6 files changed, 19 insertions(+), 22 deletions(-)

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New package istacr with initial version 0.2.0
Package: istacr
Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Version: 0.2.0
Date: 2022-08-22
Maintainer: Alberto Gonzalez <jgonyanp@gobiernodecanarias.org>
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: jsonlite, utils
NeedsCompilation: no
Packaged: 2022-08-22 11:28:01 UTC; luis
Author: Alberto Gonzalez [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-22 12:50:05 UTC

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Package vaultr updated to version 1.1.1 with previous version 1.1.0 dated 2021-06-09

Title: Vault Client for Secrets and Sensitive Data
Description: Provides an interface to a 'HashiCorp' vault server over its http API (typically these are self-hosted; see <https://www.vaultproject.io>). This allows for secure storage and retrieval of secrets over a network, such as tokens, passwords and certificates. Authentication with vault is supported through several backends including user name/password and authentication via 'GitHub'.
Author: Rich FitzJohn [aut, cre], Robert Ashton [aut], Wes Hinsley [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between vaultr versions 1.1.0 dated 2021-06-09 and 1.1.1 dated 2022-08-22

 DESCRIPTION                       |    8 -
 MD5                               |   44 +++++-----
 build/vignette.rds                |binary
 man/vault_api_client.Rd           |   86 ++++++++++----------
 man/vault_client.Rd               |   80 +++++++++----------
 man/vault_client_audit.Rd         |   46 +++++------
 man/vault_client_auth.Rd          |   46 +++++------
 man/vault_client_auth_approle.Rd  |   98 +++++++++++------------
 man/vault_client_auth_github.Rd   |   62 +++++++--------
 man/vault_client_auth_userpass.Rd |   74 +++++++++---------
 man/vault_client_cubbyhole.Rd     |   46 +++++------
 man/vault_client_kv1.Rd           |   56 ++++++-------
 man/vault_client_kv2.Rd           |  104 +++++++++++++------------
 man/vault_client_object.Rd        |   18 ++--
 man/vault_client_operator.Rd      |   98 +++++++++++------------
 man/vault_client_policy.Rd        |   46 +++++------
 man/vault_client_secrets.Rd       |   46 +++++------
 man/vault_client_token.Rd         |  156 +++++++++++++++++++-------------------
 man/vault_client_tools.Rd         |   34 ++++----
 man/vault_client_transit.Rd       |  152 ++++++++++++++++++-------------------
 man/vault_resolve_secrets.Rd      |   12 +-
 man/vault_test_server.Rd          |   62 +++++++--------
 man/vaultr.Rd                     |    6 -
 23 files changed, 695 insertions(+), 685 deletions(-)

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New package avidaR with initial version 1.1.3
Package: avidaR
Title: A Computational Biologist’s Toolkit To Get Data From 'avidaDB'
Version: 1.1.3
Description: Easy-to-use tools for performing complex queries on 'avidaDB', a semantic database that stores genomic and transcriptomic data of self-replicating computer programs (known as digital organisms) that mutate and evolve within a user-defined computational environment.
License: MIT + file LICENSE
URL: https://gitlab.com/fortunalab/avidaR
Encoding: UTF-8
Language: en_US
Depends: R (>= 3.6.0)
Imports: base64enc (>= 0.1-3), xml2 (>= 1.3.2), httr (>= 1.4.2), dplyr (>= 1.0.6), readr (>= 1.4.0), tidyr (>= 1.1.2), tibble (>= 3.0.6), circlize (>= 0.4.11), RColorBrewer, R6
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-08-22 10:15:11 UTC; raul
Author: Miguel A. Fortuna [aut] , Raul Ortega [cre]
Maintainer: Raul Ortega <raul.ortega@ebd.csic.es>
Repository: CRAN
Date/Publication: 2022-08-22 11:50:02 UTC

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New package mfpp with initial version 0.0.4
Package: mfpp
Title: 'Matrix-Based Flexible Project Planning'
Version: 0.0.4
Maintainer: Zsolt T. Kosztyan <kzst@gtk.uni-pannon.hu>
Description: Matrix-Based Flexible Project Planning. This package models, plans, and schedules flexible, such as agile, extreme, and hybrid project plans. The package contains project planning, scheduling, and risk assessment functions. Kosztyan (2022) <doi:10.1016/j.softx.2022.100973>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
URL: https://github.com/kzst/mfpp
Depends: R (>= 3.10)
Imports: pracma, nsga2R, igraph, genalg, ggplot2, reshape2, Rfast
Suggests: rmarkdown, knitr, Matrix
NeedsCompilation: no
Packaged: 2022-08-19 12:28:54 UTC; kzst
Author: Zsolt T. Kosztyan [aut, cre], Aamir Sagir [aut]
Repository: CRAN
Date/Publication: 2022-08-22 10:20:02 UTC

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Package immer updated to version 1.4-15 with previous version 1.3-3 dated 2022-05-17

Title: Item Response Models for Multiple Ratings
Description: Implements some item response models for multiple ratings, including the hierarchical rater model, conditional maximum likelihood estimation of linear logistic partial credit model and a wrapper function to the commercial FACETS program. See Robitzsch and Steinfeld (2018) for a description of the functionality of the package. See Wang, Su and Qiu (2014; <doi:10.1111/jedm.12045>) for an overview of modeling alternatives.
Author: Alexander Robitzsch [aut, cre], Jan Steinfeld [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between immer versions 1.3-3 dated 2022-05-17 and 1.4-15 dated 2022-08-22

 DESCRIPTION                            |    8 -
 MD5                                    |   46 +++---
 R/MHprop_refresh.R                     |    5 
 R/RcppExports.R                        |    2 
 R/immer_ccml.R                         |   31 ++--
 R/immer_cml.R                          |   36 ++--
 R/immer_cmml.R                         |   47 +++---
 R/immer_cmml_proc_basispar.R           |   11 -
 R/immer_create_design_matrix_formula.R |   31 ++--
 R/lpcm_data_prep.R                     |   12 -
 README.md                              |    5 
 build/partial.rdb                      |binary
 inst/NEWS                              |   14 +
 man/immer_cml.Rd                       |    2 
 man/immer_hrm.Rd                       |    6 
 man/immer_jml.Rd                       |    4 
 man/immer_latent_regression.Rd         |   15 +-
 man/immer_unique_patterns.Rd           |    8 -
 src/RcppExports.cpp                    |    2 
 src/immer_rcpp_ccml.cpp                |   69 +++++----
 src/immer_rcpp_cml.cpp                 |    8 -
 src/immer_rcpp_cmml.cpp                |  247 ++++++++++++++++++---------------
 src/immer_rcpp_jml.cpp                 |   19 +-
 src/immer_rcpp_latent_regression.cpp   |   10 -
 24 files changed, 368 insertions(+), 270 deletions(-)

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Package IFC updated to version 0.1.6 with previous version 0.1.5 dated 2022-05-24

Title: Tools for Imaging Flow Cytometry
Description: Contains several tools to treat imaging flow cytometry data from 'ImageStream®' and 'FlowSight®' cytometers ('Amnis®', part of 'Luminex®'). Provides an easy and simple way to read and write .fcs, .rif, .cif and .daf files. Information such as masks, features, regions and populations set within these files can be retrieved for each single cell. In addition, raw data such as images stored can also be accessed. Users, may hopefully increase their productivity thanks to dedicated functions to extract, visualize, manipulate and export 'IFC' data. Toy data example can be installed through the 'IFCdata' package of approximately 32 MB, which is available in a 'drat' repository <https://gitdemont.github.io/IFCdata/>. See file 'COPYRIGHTS' and file 'AUTHORS' for a list of copyright holders and authors.
Author: Yohann Demont [aut, cre], Gautier Stoll [ctb], Guido Kroemer [ldr], Jean-Pierre Marolleau [ldr], Loïc Garcon [ldr]
Maintainer: Yohann Demont <git.demont@gmail.com>

Diff between IFC versions 0.1.5 dated 2022-05-24 and 0.1.6 dated 2022-08-22

 DESCRIPTION                |    8 +--
 MD5                        |   97 +++++++++++++++++++++++----------------------
 NAMESPACE                  |    1 
 R/DisplayGallery.R         |    8 +--
 R/ExportToDAF.R            |   37 +++++++++--------
 R/ExportToGallery.R        |    5 +-
 R/ExportToNumpy.R          |    8 +--
 R/ExportToXIF.R            |    6 +-
 R/ExtractFromDAF.R         |    3 -
 R/ExtractFromXIF.R         |    4 -
 R/ExtractImages_toBase64.R |    7 +--
 R/ExtractImages_toFile.R   |    5 +-
 R/ExtractImages_toMatrix.R |    7 +--
 R/ExtractMasks_toMatrix.R  |    7 +--
 R/XIFtoTIFF.R              |   65 ++++++++++++++++--------------
 R/buildBatch.R             |    8 +--
 R/checksumDAF.R            |    2 
 R/checksumXIF.R            |    2 
 R/data_to_DAF.R            |    2 
 R/fcs.R                    |    3 -
 R/getASSIST.R              |    2 
 R/getFullTag.R             |   49 ++++++++++++++++------
 R/getIFD.R                 |    1 
 R/getImagesValues.R        |    4 -
 R/getInfo.R                |    6 +-
 R/getOffsets.R             |    2 
 R/mergeXIF.R               |   69 +++++++++++++++++++-------------
 R/objectExtract.R          |   12 ++---
 R/popsRename.R             |only
 R/popsWithin.R             |    2 
 R/readGatingStrategy.R     |    4 -
 R/strings_utils.R          |   34 ++++++++-------
 R/subsetXIF.R              |   63 ++++++++++++++++-------------
 R/tiff_utils.R             |   28 ++++++++++++
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 51 files changed, 365 insertions(+), 245 deletions(-)

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New package hlt with initial version 1.3.1
Package: hlt
Title: Higher-Order Item Response Theory
Version: 1.3.1
Date: 2022-08-14
Maintainer: Michael Kleinsasser <mjkleinsa@gmail.com>
Description: Higher-order latent trait theory (item response theory). We implement the generalized partial credit model with a second-order latent trait structure. Latent regression can be done on the second-order latent trait. For a pre-print of the methods, see, "Latent Regression in Higher-Order Item Response Theory with the R Package hlt" <https://mkleinsa.github.io/doc/hlt_proof_draft_brmic.pdf>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.8), RcppDist, RcppProgress, tidyr, ggplot2, truncnorm, foreach, doParallel
LinkingTo: Rcpp, RcppDist, RcppProgress
Encoding: UTF-8
URL: https://github.com/mkleinsa/hlt
BugReports: https://github.com/mkleinsa/hlt/issues
LazyData: true
NeedsCompilation: yes
Packaged: 2022-08-19 15:55:47 UTC; mk
Author: Michael Kleinsasser [aut, cre]
Repository: CRAN
Date/Publication: 2022-08-22 10:30:02 UTC

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New package dendrometry with initial version 0.0.1
Package: dendrometry
Date: 2022-08-10
Title: Forest Estimations and Dendrometric Computations
Version: 0.0.1
Description: Computation of dendrometric and structural parameters from forest inventory data. The objective is to provide an user-friendly R package for researchers, ecologists, foresters, statisticians, loggers and others persons who deal with forest inventory data. Useful conversion of angle value from degree to radian, conversion from angle to slope (in percentage) and their reciprocals as well as principal angle determination are also included. Position and dispersion parameters usually found in forest studies are implemented. The package contains Fibonacci series, its extensions and the Golden Number computation. Useful references are Arcadius Y. J. Akossou, Soufianou Arzouma, Eloi Y. Attakpa, Noël H. Fonton and Kouami Kokou (2013) <doi:10.3390/d5010099> and W. Bonou, R. Glele Kakaï, A.E. Assogbadjo, H.N. Fonton, B. Sinsin (2009) <doi:10.1016/j.foreco.2009.05.032> .
License: GPL-3
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-08-19 14:49:51 UTC; Narcisse
Author: Narcisse Yehouenou [aut, cre], Information and Communication Technology for you ONG [fnd]
Maintainer: Narcisse Yehouenou <narcisstar211@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-22 10:20:06 UTC

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Package cluster updated to version 2.1.4 with previous version 2.1.3 dated 2022-03-28

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] , Peter Rousseeuw [aut] , Anja Struyf [aut] , Mia Hubert [aut] , Kurt Hornik [trl, ctb] , <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Er [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between cluster versions 2.1.3 dated 2022-03-28 and 2.1.4 dated 2022-08-22

 DESCRIPTION                 |    8 +++----
 MD5                         |   48 ++++++++++++++++++++++----------------------
 NAMESPACE                   |    1 
 R/0aaa.R                    |    8 ++++++-
 R/agnes.q                   |    6 ++---
 R/clara.q                   |    4 +--
 R/clusGap.R                 |    4 +--
 R/daisy.q                   |   17 +++++++--------
 R/medoids.R                 |only
 R/pam.q                     |   23 ++++++++-------------
 R/plothier.q                |   10 ++++-----
 R/plotpart.q                |   10 ++++-----
 R/silhouette.R              |   11 ++++------
 build/partial.rdb           |binary
 inst/NEWS.Rd                |   26 +++++++++++++++++++++++
 man/clusplot.default.Rd     |    2 -
 man/clusplot.partition.Rd   |    4 +--
 man/daisy.Rd                |   36 ++++++++++++++++++++++++---------
 man/dissimilarity.object.Rd |   18 +++++++++-------
 man/ellipsoidhull.Rd        |    6 ++---
 man/medoids.Rd              |only
 man/plot.mona.Rd            |    2 -
 man/pltree.Rd               |    2 -
 po/R-cluster.pot            |    2 -
 tests/daisy-ex.R            |    5 ----
 tests/daisy-ex.Rout.save    |   13 ++++-------
 26 files changed, 154 insertions(+), 112 deletions(-)

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Package benthos updated to version 1.3-8 with previous version 1.3-6 dated 2019-03-17

Title: Marine Benthic Ecosystem Analysis
Description: Preprocessing tools and biodiversity measures (species abundance, species richness, population heterogeneity and sensitivity) for analysing marine benthic data. See Van Loon et al. (2015) <doi:10.1016/j.seares.2015.05.002> for an application of these tools.
Author: Dennis Walvoort [aut, cre, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

Diff between benthos versions 1.3-6 dated 2019-03-17 and 1.3-8 dated 2022-08-22

 DESCRIPTION                       |   15 
 MD5                               |   75 -
 NAMESPACE                         |  142 +--
 R/data_oosterschelde.R            |    4 
 R/indicators.R                    |   50 -
 R/io.R                            |   29 
 R/utils.R                         |   16 
 build/vignette.rds                |binary
 inst/NEWS.Rd                      |    9 
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 inst/doc/benthos.html             | 1696 ++++++++++++++++++++++----------------
 man/abundance.Rd                  |    6 
 man/ambi.Rd                       |   10 
 man/as_accepted.Rd                |    6 
 man/hill.Rd                       |   32 
 man/hpie.Rd                       |    6 
 man/hurlbert.Rd                   |    6 
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 man/northsea.Rd                   |    4 
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 man/pool.Rd                       |    4 
 man/read_ambi.Rd                  |    4 
 man/read_beqi2.Rd                 |    4 
 man/read_iti.Rd                   |    4 
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 man/read_twn.Rd                   |   12 
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 man/simpson.Rd                    |    6 
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 man/to_worms.Rd                   |   18 
 man/total_abundance.Rd            |   10 
 tests/testthat/test-bray_curtis.R |only
 tests/testthat/test-poole.R       |   10 
 tests/testthat/test-utils.R       |   42 
 vignettes/benthos.Rmd             |    6 
 39 files changed, 1288 insertions(+), 1006 deletions(-)

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New package tramvs with initial version 0.0-2
Package: tramvs
Title: Optimal Subset Selection for Transformation Models
Version: 0.0-2
Description: Greedy optimal subset selection for transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291> ) based on the abess algorithm (Zhu et al., 2020, <doi:10.1073/pnas.2014241117> ). Applicable to models from packages 'tram' and 'cotram'.
Depends: R (>= 4.0), tram (>= 0.6-1)
Imports: stats, variables, methods, cotram
Suggests: abess, tramnet, colorspace, knitr, mlt, TH.data, survival, ordinal
License: GPL-3
Encoding: UTF-8
URL: http://ctm.R-forge.R-project.org
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-20 16:48:43 UTC; stigler
Author: Lucas Kook [aut, cre], Sandra Siegfried [ctb], Torsten Hothorn [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@uzh.ch>
Repository: CRAN
Date/Publication: 2022-08-22 09:20:03 UTC

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New package TDAvec with initial version 0.1.0
Package: TDAvec
Title: Vector Summaries of Persistence Diagrams
Version: 0.1.0
Description: Tools for computing various vector summaries of persistence diagrams studied in Topological Data Analysis. For improved computational efficiency, all code for the vector summaries is written in 'C++' using the 'Rcpp' package.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.9), TDA, microbenchmark
LinkingTo: Rcpp
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-08-18 19:53:08 UTC; luchinsky
Author: Umar Islambekov [aut], Alexey Luchinsky [aut, cre], Hasani Pathirana [ctb]
Maintainer: Alexey Luchinsky <aluchi@bgsu.edu>
Repository: CRAN
Date/Publication: 2022-08-22 09:40:06 UTC

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New package shinyHugePlot with initial version 0.0.1
Package: shinyHugePlot
Title: Efficient Plotting of Large-Sized Data
Version: 0.0.1
Maintainer: Junta Tagusari <j.tagusari@eng.hokudai.ac.jp>
Language: en-US
Depends: R (>= 4.2.0), plotly (>= 4.10.0), shiny (>= 1.7.1)
Imports: R6 (>= 2.5.1), dplyr (>= 1.0.9), tibble (>= 3.1.7), tidyr (>= 1.2.0), data.table (>= 1.14.2), stringr (>= 1.4.0), nanotime (>= 0.3.6), assertthat (>= 0.2.1), bit64 (>= 4.0.5), purrr (>= 0.3.4)
Suggests: testthat
Description: A tool to plot data with large sample size using 'shiny' and 'plotly'. Relatively small samples are chosen from the data using an appropriate algorithm according to a user-defined x range. Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost (2022) <https://github.com/predict-idlab/plotly-resampler>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-08-19 09:08:59 UTC; j.tagusari
Author: Junta Tagusari [aut, cre], Jonas Van Der Donckt [cph], Jeroen Van Der Donckt [cph], Emiel Deprost [cph]
Repository: CRAN
Date/Publication: 2022-08-22 10:00:02 UTC

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New package scrutiny with initial version 0.2.2
Package: scrutiny
Title: Error Detection in Science
Version: 0.2.2
Maintainer: Lukas Jung <jung-lukas@gmx.net>
Description: Test published summary statistics for consistency (Brown and Heathers, 2017, <https://journals.sagepub.com/doi/10.1177/1948550616673876/>; Allard, 2018, <https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/>; Heathers and Brown, 2019, <https://osf.io/5vb3u/>). The package also provides infrastructure for implementing new error detection techniques.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cli, dplyr, glue, magrittr, methods, purrr, rlang (>= 1.0.2), stringr, tibble
Suggests: covr, devtools, ellipsis, ggplot2, ggrepel, janitor, knitr, rmarkdown, roxygen2, stats, testthat (>= 3.0.0), tidyr, tidyselect
Depends: R (>= 3.4.0)
VignetteBuilder: knitr
URL: https://lhdjung.github.io/scrutiny/, https://github.com/lhdjung/scrutiny/
BugReports: https://github.com/lhdjung/scrutiny/issues
NeedsCompilation: no
Packaged: 2022-08-18 15:52:11 UTC; lukasjung
Author: Lukas Jung [aut, cre], Aurelien Allard [ctb]
Repository: CRAN
Date/Publication: 2022-08-22 09:40:02 UTC

More information about scrutiny at CRAN
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Package qmd updated to version 1.1.2 with previous version 1.1.1 dated 2022-08-18

Title: Quantification of Multivariate Dependence
Description: A multivariate copula-based dependence measure. For more information, see Griessenberger, Junker, Trutschnig (2022), On a multivariate copula-based dependence measure and its estimation, Electronic Journal of Statistics, 16, 2206-2251.
Author: Nicolas Dietrich [aut, cre], Florian Griessenberger [aut], Robert R. Junker [aut], Valentin Petztel [aut], Wolfgang Trutschnig [aut]
Maintainer: Nicolas Dietrich <nicolaspascal.dietrich@plus.ac.at>

Diff between qmd versions 1.1.1 dated 2022-08-18 and 1.1.2 dated 2022-08-22

 DESCRIPTION              |    8 ++++----
 MD5                      |   12 +++++++-----
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 8 files changed, 41 insertions(+), 58 deletions(-)

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New package netShiny with initial version 1.0
Package: netShiny
Title: Tool for Comparison and Visualization of Multiple Networks
Version: 1.0
Description: We developed a comprehensive tool that helps with visualization and analysis of networks with the same variables across multiple factor levels. The 'netShiny' contains most of the popular network features such as centrality measures, modularity, and other summary statistics (e.g. clustering coefficient). It also contains known tools to look at the (dis)similarities between two networks, such as pairwise distance measures between networks, set operations on the nodes of the networks, distribution of the weights of the edges and a network representing the difference between two correlation matrices. The package 'netShiny' also contains tools to perform bootstrapping and find clusters in networks. See the 'netShiny' manual for more information, documentation and examples.
Encoding: UTF-8
Imports: colourpicker (>= 1.1.1), DT (>= 0.24), future (>= 1.27.0), future.callr (>= 0.8.0), ggplot2 (>= 3.3.6), ggVennDiagram (>= 1.2.0), igraph (>= 1.3.4), ipc (>= 0.1.3), magrittr (>= 2.0.3), Matrix (>= 1.4.1), netgwas (>= 1.14), plotly (>= 4.10.0), promises (>= 1.2.0.1), readxl (>= 1.4.0), shinycssloaders (>= 1.0.0), shinyjs (>= 2.1.0), shinyscreenshot (>= 0.2.0), shinyWidgets (>= 0.7.2), stats (>= 4.2.1), utils (>= 4.2.1), visNetwork (>= 2.1.0)
Depends: shinyBS (>= 0.61.1), shiny (>= 1.7.2), shinydashboard (>= 0.7.2)
License: GPL (>= 3)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-18 10:50:56 UTC; behro001
Author: Rocherno de Jongh [aut], Pariya Behrouzi [aut, cre]
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-22 09:30:02 UTC

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New package MADPop with initial version 1.1.4
Package: MADPop
Title: MHC Allele-Based Differencing Between Populations
Version: 1.1.4
Date: 2022-08-12
Description: Tools for the analysis of population differences using the Major Histocompatibility Complex (MHC) genotypes of samples having a variable number of alleles (1-4) recorded for each individual. A hierarchical Dirichlet-Multinomial model on the genotype counts is used to pool small samples from multiple populations for pairwise tests of equality. Bayesian inference is implemented via the 'rstan' package. Bootstrapped and posterior p-values are provided for chi-squared and likelihood ratio tests of equal genotype probabilities.
URL: https://github.com/mlysy/MADPop
BugReports: https://github.com/mlysy/MADPop/issues
License: GPL-3
Depends: R (>= 3.4.0), rstan (>= 2.18.1)
Imports: methods, Rcpp (>= 0.12.0), stats
Suggests: knitr, rmarkdown, testthat
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
VignetteBuilder: knitr
SystemRequirements: GNU make
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2022-08-19 17:51:58 UTC; mlysy
Author: Martin Lysy [cre, aut], Peter W.J. Kim [aut], Terin Robinson [ctb]
Maintainer: Martin Lysy <mlysy@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2022-08-22 09:20:12 UTC

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Package gmwmx updated to version 1.0.1 with previous version 1.0.0 dated 2022-08-14

Title: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals
Description: Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Cucci, D. A., Voirol, L., Kermarrec, G., Montillet, J. P., and Guerrier, S. (2022) <arXiv:2206.09668>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals. The 'gmwmx' package provides functions to estimate, compare and analyze models, utilities to load and work with Global Navigation Satellite System (GNSS) data as well as methods to compare results with the Maximum Likelihood Estimator (MLE) implemented in Hector.
Author: Davide Antonio Cucci [aut], Lionel Voirol [aut, cre], Stephane Guerrier [aut], Jean-Philippe Montillet [ctb], Gael Kermarrec [ctb]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>

Diff between gmwmx versions 1.0.0 dated 2022-08-14 and 1.0.1 dated 2022-08-22

 DESCRIPTION                                |    8 +--
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New package disbayes with initial version 1.0.0
Package: disbayes
Title: Bayesian Multi-State Modelling of Chronic Disease Burden Data
Date: 2022-08-18
Version: 1.0.0
Description: Estimation of incidence and case fatality for a chronic disease, given partial information, using a multi-state model. Given data on age-specific mortality and either incidence or prevalence, Bayesian inference is used to estimate the posterior distributions of incidence, case fatality, and functions of these such as prevalence. The methods are described in Jackson et al. (2021) <arXiv:2111.14100>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.5.0)
Imports: dplyr, tidyr, magrittr, tibble, generics, methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), mgcv, SHELF, ggplot2, loo, matrixStats
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppParallel, RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Suggests: knitr, rmarkdown, rstantools (>= 2.0.0.9000), tempdisagg, testthat
VignetteBuilder: knitr
SystemRequirements: GNU make
URL: https://chjackson.github.io/disbayes/
BugReports: https://github.com/chjackson/disbayes/issues
NeedsCompilation: yes
Packaged: 2022-08-18 19:34:17 UTC; Chris
Author: Christopher Jackson [aut, cre, cph]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2022-08-22 09:50:02 UTC

More information about disbayes at CRAN
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Package tweenr updated to version 2.0.1 with previous version 2.0.0 dated 2022-08-17

Title: Interpolate Data for Smooth Animations
Description: In order to create smooth animation between states of data, tweening is necessary. This package provides a range of functions for creating tweened data that can be used as basis for animation. Furthermore it adds a number of vectorized interpolaters for common R data types such as numeric, date and colour.
Author: Thomas Lin Pedersen [aut, cre]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between tweenr versions 2.0.0 dated 2022-08-17 and 2.0.1 dated 2022-08-22

 DESCRIPTION           |    6 +++---
 MD5                   |   16 ++++++++--------
 NAMESPACE             |    1 +
 NEWS.md               |    4 ++++
 R/interpolate_along.R |    2 +-
 R/tween_along.R       |    6 ++++--
 R/tween_at.R          |    4 +++-
 R/tween_components.R  |    4 +++-
 R/tween_state.R       |    4 +++-
 9 files changed, 30 insertions(+), 17 deletions(-)

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New package urlshorteneR with initial version 1.5.7
Package: urlshorteneR
Title: R Wrapper for the 'Bit.ly' and 'Is.gd'/'v.gd' URL Shortening Services
Description: Allows using two URL shortening services, which also provide expanding and analytic functions. Specifically developed for 'Bit.ly' (which requires OAuth 2.0) and 'is.gd' (no API key).
Version: 1.5.7
Date: 2022-08-20
Maintainer: John Malc <cincenko@outlook.com>
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: httr (>= 1.4.3), jsonlite (>= 1.8.0), stringr (>= 1.4.0), lubridate (>= 1.8.0), assertthat (>= 0.2.1), shiny (>= 1.7.2), clipr (>= 0.8.0), miniUI (>= 0.1.1.1), cli (>= 3.3.0)
Suggests: roxygen2 (>= 7.2.1), knitr (>= 1.39), testthat (>= 3.1.4), rmarkdown (>= 2.14), httpuv (>= 1.6.5), stringi (>= 1.7.8), covr (>= 3.5.1), lintr (>= 3.0.0)
VignetteBuilder: knitr
License: Apache License 2.0
URL: https://github.com/dmpe/urlshorteneR
BugReports: https://github.com/dmpe/urlshorteneR/issues
NeedsCompilation: no
Packaged: 2022-08-20 10:40:58 UTC; jm
Author: John Malc [aut, cre] , Andrea Dodet [ctb] , Stephen Synchronicity [ctb]
Repository: CRAN
Date/Publication: 2022-08-22 08:10:02 UTC

More information about urlshorteneR at CRAN
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Package RobAStBase updated to version 1.2.2 with previous version 1.2.1 dated 2019-04-25

Title: Robust Asymptotic Statistics
Description: Base S4-classes and functions for robust asymptotic statistics.
Author: Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph], Mykhailo Pupashenko [ctb] , Gerald Kroisandt [ctb] , R Core Team [ctb, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between RobAStBase versions 1.2.1 dated 2019-04-25 and 1.2.2 dated 2022-08-22

 DESCRIPTION                |   14 +++++++-------
 MD5                        |    8 ++++----
 inst/NEWS                  |    7 +++++++
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 5 files changed, 22 insertions(+), 15 deletions(-)

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Package ridigbio updated to version 0.3.6 with previous version 0.3.5 dated 2017-02-16

Title: Interface to the iDigBio Data API
Description: An interface to iDigBio's search API that allows downloading specimen records. Searches are returned as a data.frame. Other functions such as the metadata end points return lists of information. iDigBio is a US project focused on digitizing and serving museum specimen collections on the web. See <https://www.idigbio.org> for information on iDigBio.
Author: Francois Michonneau [aut, cph], Matthew Collins [aut], Scott Chamberlain [ctb], Kevin Love [ctb], Hem Nalini Morzaria-Luna [ctb], Maureen Kelly [ctb, cre]
Maintainer: Maureen Kelly <mokelly2@ufl.edu>

Diff between ridigbio versions 0.3.5 dated 2017-02-16 and 0.3.6 dated 2022-08-22

 DESCRIPTION                               |   50 +--
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 R/idig_count_records.R                    |   54 +--
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 R/idig_view_media.R                       |   36 +-
 R/idig_view_records.R                     |   36 +-
 R/ridigbio.R                              |   72 ++---
 R/startup.R                               |   10 
 README.md                                 |   63 ++--
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 tests/testthat/test-idig_top_records.R    |  110 ++++----
 tests/testthat/test-idig_view_media.R     |   32 +-
 tests/testthat/test-idig_view_records.R   |   34 +-
 52 files changed, 2261 insertions(+), 2235 deletions(-)

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Package report updated to version 0.5.5 with previous version 0.5.1 dated 2022-02-22

Title: Automated Reporting of Results and Statistical Models
Description: The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Rudolf Siegel [ctb] , Remi Theriault [ctb]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between report versions 0.5.1 dated 2022-02-22 and 0.5.5 dated 2022-08-22

 report-0.5.1/report/tests/spelling.R                                          |only
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 70 files changed, 2184 insertions(+), 1227 deletions(-)

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Package profile updated to version 1.0.3 with previous version 1.0.2 dated 2020-05-11

Title: Read, Manipulate, and Write Profiler Data
Description: Defines a data structure for profiler data, and methods to read and write from the 'Rprof' and 'pprof' file formats.
Author: Kirill Mueller [aut, cre] , R Consortium [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between profile versions 1.0.2 dated 2020-05-11 and 1.0.3 dated 2022-08-22

 DESCRIPTION            |   25 ++++++++---------
 MD5                    |   10 +++----
 NEWS.md                |   13 +++++++++
 R/rprof-to-ds.R        |    6 ++--
 README.md              |   69 ++++++++++++++++++++++++++-----------------------
 man/profile-package.Rd |    4 +-
 6 files changed, 72 insertions(+), 55 deletions(-)

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New package hockeyR with initial version 1.0.0
Package: hockeyR
Title: Collect and Clean Hockey Stats
Version: 1.0.0
Description: Various functions to scrape hockey play-by-play data from the <https://www.nhl.com/>. It also contains functions to scrape data from <https://www.hockey-reference.com/>, including standings, player stats, and jersey number history.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/danmorse314/hockeyR
BugReports: https://github.com/danmorse314/hockeyR/issues
Depends: R (>= 3.5.0)
Imports: dplyr, glue, httr, janitor, jsonlite, magrittr, lubridate, polite, purrr, rvest, stringr, tidyr, tidyselect, utils, zoo
Suggests: ggimage, ggplot2, ggrepel, knitr, rmarkdown, scales, sportyR
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-21 05:12:24 UTC; danmo
Author: Daniel Morse [aut, cre]
Maintainer: Daniel Morse <danmorse8642@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-22 08:10:06 UTC

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New package genlasso with initial version 1.6.1
Package: genlasso
Title: Path Algorithm for Generalized Lasso Problems
Version: 1.6.1
Date: 2022-08-19
Author: Taylor B. Arnold [aut, cre], Ryan J. Tibshirani [aut]
Maintainer: Taylor B. Arnold <tarnold2@richmond.edu>
Description: Computes the solution path for generalized lasso problems. Important use cases are the fused lasso over an arbitrary graph, and trend fitting of any given polynomial order. Specialized implementations for the latter two subproblems are given to improve stability and speed. See Taylor Arnold and Ryan Tibshirani (2016) <doi:10.1080/10618600.2015.1008638>.
License: GPL (>= 2.0)
Depends: Matrix, igraph, R (>= 3.1.0)
ByteCompile: TRUE
URL: https://github.com/glmgen/genlasso
NeedsCompilation: yes
Packaged: 2022-08-19 17:55:50 UTC; admin
Repository: CRAN
Date/Publication: 2022-08-22 08:10:10 UTC

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Package cpss updated to version 0.0.3 with previous version 0.0.2 dated 2020-11-23

Title: Change-Point Detection by Sample-Splitting Methods
Description: Implements multiple change searching algorithms for a variety of frequently considered parametric change-point models. In particular, it integrates a criterion proposed by Zou, Wang and Li (2020) <doi:10.1214/19-AOS1814> to select the number of change-points in a data-driven fashion. Moreover, it also provides interfaces for user-customized change-point models with one's own cost function and parameter estimation routine. It is easy to get started with the cpss.* set of functions by accessing their documentation pages (e.g., ?cpss).
Author: Guanghui Wang [aut, cre], Changliang Zou [aut]
Maintainer: Guanghui Wang <ghwang.nk@gmail.com>

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Package acled.api updated to version 1.1.6 with previous version 1.1.5 dated 2021-11-12

Title: Automated Retrieval of ACLED Conflict Event Data
Description: Access and manage the application programming interface (API) of the Armed Conflict Location & Event Data Project (ACLED) at <https://acleddata.com/>. The package makes it easy to retrieve a user-defined sample (or all of the available data) of ACLED, enabling a seamless integration of regular data updates into the research work flow. It requires a minimal number of dependencies. See the package's README file for a note on replicability when drawing on ACLED data. When using this package, you acknowledge that you have read ACLED's terms and conditions of use, and that you agree with their attribution requirements.
Author: Christoph Dworschak [aut, cre] , Rob Williams [ctb]
Maintainer: Christoph Dworschak <dworschak@posteo.de>

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Package WASP updated to version 1.4.3 with previous version 1.4.2 dated 2022-02-21

Title: Wavelet System Prediction
Description: The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.
Author: Ze Jiang [aut, cre] , Md. Mamunur Rashid [aut] , Ashish Sharma [aut] , Fiona Johnson [aut]
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>

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Package uwot updated to version 0.1.14 with previous version 0.1.13 dated 2022-08-16

Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <arXiv:1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <arXiv:1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

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Package tidygraph updated to version 1.2.2 with previous version 1.2.1 dated 2022-04-05

Title: A Tidy API for Graph Manipulation
Description: A graph, while not "tidy" in itself, can be thought of as two tidy data frames describing node and edge data respectively. 'tidygraph' provides an approach to manipulate these two virtual data frames using the API defined in the 'dplyr' package, as well as provides tidy interfaces to a lot of common graph algorithms.
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package surveil updated to version 0.2.1 with previous version 0.2.0 dated 2022-04-03

Title: Time Series Models for Disease Surveillance
Description: Fits time series models for routine disease surveillance tasks and returns probability distributions for a variety of quantities of interest, including age-standardized rates, period and cumulative percent change, and measures of health inequality. Calculates Theil's index to measure inequality among multiple groups, and can be extended to measure inequality across multiple groups nested within geographies. Inference is completed using Markov chain Monte Carlo via the Stan modeling language. The models are appropriate for count data such as disease incidence and mortality data, employing a Poisson or binomial likelihood and the first-difference (random-walk) prior for unknown risk. Optionally add a covariance matrix for multiple, correlated time series models. References: Donegan, Hughes, and Lee (2022) <doi:10.2196/34589>; Stan Development Team (2021) <https://mc-stan.org>; Theil (1972, ISBN:0-444-10378-3).
Author: Connor Donegan [aut, cre]
Maintainer: Connor Donegan <connor.donegan@gmail.com>

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Package semEff updated to version 0.6.1 with previous version 0.6.0 dated 2021-10-12

Title: Automatic Calculation of Effects for Piecewise Structural Equation Models
Description: Automatically calculate direct, indirect, and total effects for piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck, 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Author: Mark V. Murphy [aut, cre]
Maintainer: Mark V. Murphy <murphymv@gmail.com>

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Package preregr updated to version 0.2.5 with previous version 0.2.1 dated 2022-01-25

Title: Specify (Pre)Registrations and Export Them Human- And Machine-Readably
Description: Preregistrations, or more generally, registrations, enable explicit timestamped and (often but not necessarily publicly) frozen documentation of plans and expectations as well as decisions and justifications. In research, preregistrations are commonly used to clearly document plans and facilitate justifications of deviations from those plans, as well as decreasing the effects of publication bias by enabling identification of research that was conducted but not published. Like reporting guidelines, (pre)registration forms often have specific structures that facilitate systematic reporting of important items. The 'preregr' package facilitates specifying (pre)registrations in R and exporting them to a human-readable format (using R Markdown partials or exporting to an 'HTML' file) as well as human-readable embedded data (using 'JSON'), as well as importing such exported (pre)registration specifications from such embedded 'JSON'.
Author: Gjalt-Jorn Peters [aut, cre] , Szilvia Zoergő [ctb] , Olmo den Akker [ctb] , Aleksandra Lazić [ctb]
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@behaviorchange.eu>

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Package pathviewr updated to version 1.1.3 with previous version 1.0.1 dated 2021-05-06

Title: Wrangle, Analyze, and Visualize Animal Movement Data
Description: Tools to import, clean, and visualize movement data, particularly from motion capture systems such as Optitrack's 'Motive', the Straw Lab's 'Flydra', or from other sources. We provide functions to remove artifacts, standardize tunnel position and tunnel axes, select a region of interest, isolate specific trajectories, fill gaps in trajectory data, and calculate 3D and per-axis velocity. For experiments of visual guidance, we also provide functions that use subject position to estimate perception of visual stimuli.
Author: Vikram B. Baliga [aut, cre] , Melissa S. Armstrong [aut] , Eric R. Press [aut] , Anne-Sophie Bonnet-Lebrun [rev], Marco Sciaini [rev]
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>

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Package NNS updated to version 0.9.1 with previous version 0.9.0 dated 2022-08-06

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

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Package mctq updated to version 0.3.0 with previous version 0.2.0 dated 2022-05-09

Title: Tools to Process the Munich ChronoType Questionnaire (MCTQ)
Description: A complete toolkit to process the Munich ChronoType Questionnaire (MCTQ) for its three versions (standard, micro, and shift). MCTQ is a quantitative and validated tool to assess chronotypes using peoples' sleep behavior, originally presented by Till Roenneberg, Anna Wirz-Justice, and Martha Merrow (2003, <doi:10.1177/0748730402239679>).
Author: Daniel Vartanian [aut, cre, ccp, cph] , Ana Amelia Benedito-Silva [aut, sad] , Mario Pedrazzoli [aut, sad] , Jonathan Keane [rev] , Mario Andre Leocadio-Miguel [rev] , Interdisciplinary Sleep Research Group [fnd], University of Sao Paulo [fnd]
Maintainer: Daniel Vartanian <danvartan@gmail.com>

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Package ggfx updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-31

Title: Pixel Filters for 'ggplot2' and 'grid'
Description: Provides a range of filters that can be applied to layers from the 'ggplot2' package and its extensions, along with other graphic elements such as guides and theme elements. The filters are applied at render time and thus uses the exact pixel dimensions needed.
Author: Thomas Lin Pedersen [aut, cre] , RStudio [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package dmdScheme updated to version 1.3.5 with previous version 1.3.2 dated 2022-04-12

Title: Domain Specific MetaData Scheme
Description: Forms the core for developing own domain specific metadata schemes. It contains the basic functionality needed for all metadata schemes based on the 'dmdScheme'. See R.M. Krug and O.L. Petchey (2019) <DOI:10.5281/zenodo.3581970>.
Author: Rainer M. Krug [aut, cre] , Owen L. Petchey [ctb]
Maintainer: Rainer M. Krug <Rainer.Krug@uzh.ch>

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Package paleotree updated to version 3.4.5 with previous version 3.4.4 dated 2022-04-25

Title: Paleontological and Phylogenetic Analyses of Evolution
Description: Provides tools for transforming, a posteriori time-scaling, and modifying phylogenies containing extinct (i.e. fossil) lineages. In particular, most users are interested in the functions timePaleoPhy, bin_timePaleoPhy, cal3TimePaleoPhy and bin_cal3TimePaleoPhy, which date cladograms of fossil taxa using stratigraphic data. This package also contains a large number of likelihood functions for estimating sampling and diversification rates from different types of data available from the fossil record (e.g. range data, occurrence data, etc). paleotree users can also simulate diversification and sampling in the fossil record using the function simFossilRecord, which is a detailed simulator for branching birth-death-sampling processes composed of discrete taxonomic units arranged in ancestor-descendant relationships. Users can use simFossilRecord to simulate diversification in incompletely sampled fossil records, under various models of morphological differentiation (i.e. the various pattern [...truncated...]
Author: David W. Bapst, Peter J. Wagner
Maintainer: David W. Bapst <dwbapst@gmail.com>

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Package mlflow updated to version 1.28.0 with previous version 1.27.0 dated 2022-08-10

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

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Package GLMsData updated to version 1.4 with previous version 1.0.0 dated 2018-04-10

Title: Generalized Linear Model Data Sets
Description: Data sets from the book Generalized Linear Models with Examples in R by Dunn and Smyth.
Author: Peter K. Dunn [cre,aut], Gordon K. Smyth [aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

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Package CCAMLRGIS updated to version 4.0.1 with previous version 4.0.0 dated 2022-05-10

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

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Package bigleaf updated to version 0.8.2 with previous version 0.8.1 dated 2022-05-01

Title: Physical and Physiological Ecosystem Properties from Eddy Covariance Data
Description: Calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties from eddy covariance data and accompanying meteorological measurements. Calculations assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.
Author: Juergen Knauer [aut, cre] , Thomas Wutzler [aut] , Alison Bennett [aut] , Soenke Zaehle [ctb] , Tarek El-Madany [ctb] , Mirco Migliavacca [ctb]
Maintainer: Juergen Knauer <J.Knauer@westernsydney.edu.au>

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