Fri, 08 Apr 2022

Package rstanarm updated to version 2.21.3 with previous version 2.21.1 dated 2020-07-20

Title: Bayesian Applied Regression Modeling via Stan
Description: Estimates previously compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.
Author: Jonah Gabry [aut], Imad Ali [ctb], Sam Brilleman [ctb], Jacqueline Buros Novik [ctb] , AstraZeneca [ctb] , Trustees of Columbia University [cph], Simon Wood [cph] , R Core Deveopment Team [cph] , Douglas Bates [cph] , Martin Maechler [cph] , Ben Bolk [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

Diff between rstanarm versions 2.21.1 dated 2020-07-20 and 2.21.3 dated 2022-04-08

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Package mboost updated to version 2.9-6 with previous version 2.9-5 dated 2021-04-13

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. Models and algorithms are described in <doi:10.1214/07-STS242>, a hands-on tutorial is available from <doi:10.1007/s00180-012-0382-5>. The package allows user-specified loss functions and base-learners.
Author: Torsten Hothorn [cre, aut] , Peter Buehlmann [aut] , Thomas Kneib [aut] , Matthias Schmid [aut] , Benjamin Hofner [aut] , Fabian Otto-Sobotka [ctb] , Fabian Scheipl [ctb] , Andreas Mayr [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mboost versions 2.9-5 dated 2021-04-13 and 2.9-6 dated 2022-04-08

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Package foqat updated to version 2.0.7.1 with previous version 2.0.7 dated 2022-04-06

Title: Field Observation Quick Analysis Toolkit
Description: Tools for quickly processing and analyzing field observation data and air quality data. This tools contain functions that facilitate analysis in atmospheric chemistry (especially in ozone pollution). Some functions of time series are also applicable to other fields. For detail please view homepage<https://github.com/tianshu129/foqat>. Scientific Reference: 1. The Hydroxyl Radical (OH) Reactivity: Roger Atkinson and Janet Arey (2003) <doi:10.1021/cr0206420>. 2. Ozone Formation Potential (OFP): <https://ww2.arb.ca.gov/sites/default/files/classic/regact/2009/mir2009/mir10.pdf>, Zhang et al.(2021) <doi:10.5194/acp-21-11053-2021>. 3. Aerosol Formation Potential (AFP): Wenjing Wu et al. (2016) <doi:10.1016/j.jes.2016.03.025>. 4. TUV model: <https://www2.acom.ucar.edu/modeling/tropospheric-ultraviolet-and-visible-tuv-radiation-model>.
Author: Tianshu Chen
Maintainer: Tianshu Chen <tianshu129@163.com>

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Package cpfa updated to version 1.0-1 with previous version 1.0-0 dated 2022-03-09

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factors (Parafac) model fit to a 3-way or 4-way data array/tensor. See Harshman (1994) <doi:10.1016/0167-9473(94)90132-5>. Uses Parafac factor weights from one mode of this model as predictors to tune parameters for one or more classification methods. Supports penalized logistic regression, support vector machine, random forest, and feed-forward neural network. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Parallel computing is implemented via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress <snodg031@umn.edu>
Maintainer: Matthew A. Snodgress <snodg031@umn.edu>

Diff between cpfa versions 1.0-0 dated 2022-03-09 and 1.0-1 dated 2022-04-08

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Package smacpod updated to version 2.4.1 with previous version 2.4 dated 2022-01-26

Title: Statistical Methods for the Analysis of Case-Control Point Data
Description: Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.
Author: Joshua French [aut, cre]
Maintainer: Joshua French <joshua.french@ucdenver.edu>

Diff between smacpod versions 2.4 dated 2022-01-26 and 2.4.1 dated 2022-04-08

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Package skpr updated to version 1.1.4 with previous version 1.0.0 dated 2021-08-17

Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between skpr versions 1.0.0 dated 2021-08-17 and 1.1.4 dated 2022-04-08

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Package optimLanduse updated to version 1.0.0 with previous version 0.0.4 dated 2021-02-24

Title: Robust Land-Use Optimization
Description: Robust multi-criteria land-allocation optimization that explicitly accounts for the uncertainty of the indicators in the objective function. Solves the problem of allocating scarce land to various land-use options with regard to multiple, coequal indicators. The method aims to find the land allocation that represents the indicator composition with the best possible trade-off under uncertainty. optimLanduse includes the actual optimization procedure as described by Knoke et al. (2016) <doi:10.1038/ncomms11877> and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) <doi:10.1007/s10457-020-00519-0>.
Author: Kai Husmann [aut, cre] , Volker von Groß [aut] , Jasper Fuchs [aut] , Kai Boedeker [aut] , Goettingen University - Forest Economics and Sustainable Land-use Planning [cph, fnd], TUM School of Life Sciences - Forest Management [cph, fnd]
Maintainer: Kai Husmann <kai.husmann@uni-goettingen.de>

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Package morphemepiece updated to version 1.2.1 with previous version 1.1.2 dated 2021-12-06

Title: Morpheme Tokenization
Description: Tokenize text into morphemes. The morphemepiece algorithm uses a lookup table to determine the morpheme breakdown of words, and falls back on a modified wordpiece tokenization algorithm for words not found in the lookup table.
Author: Jonathan Bratt [aut, cre] , Jon Harmon [aut] , Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]
Maintainer: Jonathan Bratt <jonathan.bratt@macmillan.com>

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New package TippingPoint with initial version 1.2.0
Package: TippingPoint
Title: Enhanced Tipping Point Displays the Results of Sensitivity Analysis for Missing Data
Version: 1.2.0
Author: Shengjie Zhang <zhangshengjie@mrbc-nccd.com>, Xikun Han <hanxikun2017@gmail.com> and Victoria Liublinska <vliublin@g.harvard.edu>
Maintainer: Xikun Han <hanxikun2017@gmail.com>
Description: Using the idea of "tipping point" (proposed in Gregory Campbell, Gene Pennello and Lilly Yue(2011) <DOI:10.1080/10543406.2011.550094>) to visualize the results of sensitivity analysis for missing data, the package provides a set of functions to list out all the possible combinations of missing values in two treatment arms, calculate corresponding estimated treatment effects and p values, and draw a colored heat-map. It could deal with randomized experiments with a binary outcome or a continuous outcome. In addition, the package provides a visualized method to compare various imputation methods by adding the rectangles or convex hulls on the basic plot.
Depends: R (>= 3.0.0)
Imports: ggplot2 (>= 2.0.0), RColorBrewer, reshape2
Suggests: knitr, rmarkdown, bayesSurv
URL: https://github.com/XikunHan/TippingPoint
License: GPL-2
Encoding: UTF-8
LazyData: true
Date: 2022-04-08
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-04-08 14:28:01 UTC; xih628
Repository: CRAN
Date/Publication: 2022-04-08 15:12:36 UTC

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Package saeHB updated to version 0.2.1 with previous version 0.2.0 dated 2022-02-25

Title: Small Area Estimation using Hierarchical Bayesian Method
Description: Provides several functions for area level of small area estimation using hierarchical Bayesian (HB) method with several univariate distributions for variable of interest. The dataset that used in every function is generated accordingly in the Example. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.
Author: Azka Ubaidillah [aut], Ika Yuni Wulansari [aut], Zaza Yuda Perwira [aut, cre]
Maintainer: Zaza Yuda Perwira <221710086@stis.ac.id>

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Package rgdal updated to version 1.5-30 with previous version 1.5-29 dated 2022-03-16

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Please note that 'rgdal' will be retired by the end of 2023, plan transition to sf/stars/'terra' functions using 'GDAL' and 'PROJ' at your earliest convenience. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] , Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Daniel Baston [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package QCA updated to version 3.16 with previous version 3.15 dated 2022-02-16

Title: Qualitative Comparative Analysis
Description: An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean algorithm, resulting in a minimal causal configuration that explains a given phenomenon.
Author: Adrian Dusa [aut, cre, cph] , Ciprian Paduraru [ctb] , jQuery Foundation [cph] , jQuery contributors [ctb, cph] , lp_solve [cph] , Vasil Dinkov [ctb, cph] , Dmitry Baranovskiy [ctb, cph] , Emmanuel Quentin [ctb, cph] , Jimmy Breck-McKye [ctb, cph] , [...truncated...]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between QCA versions 3.15 dated 2022-02-16 and 3.16 dated 2022-04-08

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Package nhdplusTools updated to version 0.5.2 with previous version 0.5.1 dated 2022-03-01

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package cthist updated to version 1.0.0 with previous version 0.1.4 dated 2022-03-14

Title: Clinical Trial Registry History
Description: Retrieves historical versions of clinical trial registry entries.
Author: Benjamin Gregory Carlisle [aut, cre]
Maintainer: Benjamin Gregory Carlisle <murph@bgcarlisle.com>

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Package SheetReader updated to version 1.0.2 with previous version 1.0.1 dated 2022-03-28

Title: Parse xlsx Files
Description: Uses C++ via the 'Rcpp' package to parse modern Excel files ('.xlsx'). Memory usage is kept minimal by decompressing only parts of the file at a time, while employing multiple threads to achieve significant runtime reduction. Uses <https://github.com/richgel999/miniz>, <https://github.com/ebiggers/libdeflate>, and <https://github.com/lemire/fast_double_parser>.
Author: Felix Henze [aut, cre], Rich Geldreich [ctb, cph] , Eric Biggers [ctb, cph] , Daniel Lemire [ctb, cph]
Maintainer: Felix Henze <felixhenze0@gmail.com>

Diff between SheetReader versions 1.0.1 dated 2022-03-28 and 1.0.2 dated 2022-04-08

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Package pop.lion updated to version 1.0.1 with previous version 1.0 dated 2022-04-01

Title: Models for Simulating Lion Populations
Description: Simulate the dynamic of lion populations using a specific Individual-Based Model (IBM) compiled in C.
Author: Guillaume Chapron [aut, cre], Matthew Wijers [ctb], Andrew Loveridge [ctb], David Macdonald [ctb]
Maintainer: Guillaume Chapron <gchapron@carnivoreconservation.org>

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Package MuChPoint updated to version 0.6.3 with previous version 0.6.1 dated 2018-06-24

Title: Multiple Change Point
Description: Nonparametric approach to estimate the location of block boundaries (change-points) of non-overlapping blocks in a random symmetric matrix which consists of random variables whose distribution changes from block to block. BRAULT Vincent, OUADAH Sarah, SANSONNET Laure and LEVY-LEDUC Celine (2017) <doi:10.1016/j.jmva.2017.12.005>.
Author: Brault Vincent [cre, aut], Cougoulat Glenn [ctb], Ouadah Sarah [ctb], Sansonnet Laure [ctb]
Maintainer: Brault Vincent <vincent.brault@univ-grenoble-alpes.fr>

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Package deepgp updated to version 1.0.0 with previous version 0.3.1 dated 2021-12-07

Title: Deep Gaussian Processes using MCMC
Description: Performs posterior inference for deep Gaussian processes following Sauer, Gramacy, and Higdon (2020) <arXiv:2012.08015>. Models are trained through MCMC including elliptical slice sampling of latent Gaussian layers and Metropolis-Hastings sampling of kernel hyperparameters. Vecchia-approximation for faster computation is implemented following Sauer, Cooper, and Gramacy (2022) <arXiv:2204.02904>. Downstream tasks include sequential design through active learning Cohn/integrated mean squared error (ALC/IMSE; Sauer, Gramacy, and Higdon, 2020) and optimization through expected improvement (EI; Gramacy, Sauer, and Wycoff, 2021 <arXiv:2112.07457>). Models extend up to three layers deep; a one layer model is equivalent to typical Gaussian process regression. Covariance kernel options are matern (default) and squared exponential. Applicable to both noisy and deterministic functions. Incorporates SNOW parallelization and utilizes C and C++ under the hood.
Author: Annie Sauer <anniees@vt.edu>
Maintainer: Annie Sauer <anniees@vt.edu>

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Package cffr updated to version 0.2.2 with previous version 0.2.1 dated 2022-01-16

Title: Generate Citation File Format ('cff') Metadata for R Packages
Description: The Citation File Format version 1.2.0 <doi:10.5281/zenodo.5171937> is a human and machine readable file format which provides citation metadata for software. This package provides core utilities to generate and validate this metadata.
Author: Diego Hernangómez [aut, cre, cph] , João Martins [rev] , Scott Chamberlain [rev]
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>

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Package taxonbridge updated to version 1.1.0 with previous version 1.0.5 dated 2022-03-25

Title: Create Custom Taxonomies Based on the NCBI Taxonomy and GBIF Backbone Taxonomy
Description: The NCBI taxonomy is a popular resource for taxonomic studies but it only contains data on species with sequence data whereas the GBIF has a more extensive coverage of extinct species. Taxonbridge is useful for the creation and analysis of custom taxonomies based on the NCBI taxonomy and GBIF backbone taxonomy.
Author: Werner Veldsman [aut, cre]
Maintainer: Werner Veldsman <wernerpieter.veldsman@unil.ch>

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Package rgrass7 updated to version 0.2-9 with previous version 0.2-8 dated 2022-03-05

Title: Interface Between GRASS Geographical Information System and R
Description: Interpreted interface between 'GRASS' geographical information system and R, based on starting R from within the 'GRASS' 'GIS' environment, or running free-standing R in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the R command line. This package may not be used for 'GRASS' 6, for which 'spgrass6' should be used.
Author: Roger Bivand [cre, aut] , Rainer Krug [ctb] , Markus Neteler [ctb] , Sebastian Jeworutzki [ctb] , Floris Vanderhaeghe [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package dm updated to version 0.2.8 with previous version 0.2.7 dated 2022-02-03

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Mueller [aut, cre] , Antoine Fabri [ctb], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Mueller <krlmlr+r@mailbox.org>

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Package RcppEigen updated to version 0.3.3.9.2 with previous version 0.3.3.9.1 dated 2020-12-17

Title: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
Description: R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on 'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes the header files from the 'Eigen' C++ template library (currently version 3.3.4). Thus users do not need to install 'Eigen' itself in order to use 'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. 'RcppEigen' (the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Douglas Bates, Dirk Eddelbuettel, Romain Francois, and Yixuan Qiu; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package r2rtf updated to version 0.3.4 with previous version 0.3.3 dated 2022-03-07

Title: Easily Create Production-Ready Rich Text Format (RTF) Table and Figure
Description: Create production-ready Rich Text Format (RTF) table and figure with flexible format.
Author: Yilong Zhang [aut, cre], Siruo Wang [aut], Simiao Ye [aut], Fansen Kong [aut], Nan Xiao [ctb], Madhusudhan Ginnaram [ctb], Ruchitbhai Patel [ctb], Huei-Ling Chen [ctb], Peikun Wu [ctb], Uday Preetham Palukuru [ctb], Daniel Woodie [ctb], Sarad Nepal [ [...truncated...]
Maintainer: Yilong Zhang <elong0527@gmail.com>

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Package pkgdepends updated to version 0.3.1 with previous version 0.3.0 dated 2022-02-16

Title: Package Dependency Resolution and Downloads
Description: Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain a consistent set of packages to install. Download packages, and install them. It supports packages on 'CRAN', 'Bioconductor' and other 'CRAN-like' repositories, 'GitHub', package 'URLs', and local package trees and files. It caches metadata and package files via the 'pkgcache' package, and performs all 'HTTP' requests, downloads, builds and installations in parallel. 'pkgdepends' is the workhorse of the 'pak' package.
Author: Gabor Csardi [aut, cre], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package isoWater updated to version 1.1.0 with previous version 1.0.1 dated 2021-07-20

Title: Discovery, Retrieval, and Analysis of Water Isotope Data
Description: The wiDB...() functions provide an interface to the public API of the wiDB <https://github.com/SPATIAL-Lab/isoWater/blob/master/Protocol.md>: build, check and submit queries, and receive and unpack responses. Data analysis functions support Bayesian inference of the source and source isotope composition of water samples that may have experienced evaporation. Algorithms adapted from Bowen et al. (2018, <doi:10.1007/s00442-018-4192-5>).
Author: Gabe Bowen [aut, cre]
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>

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Package cccd updated to version 1.6 with previous version 1.5 dated 2015-06-01

Title: Class Cover Catch Digraphs
Description: Class Cover Catch Digraphs, neighborhood graphs, and relatives.
Author: David J. Marchette <dmarchette@gmail.com>
Maintainer: David J. Marchette <dmarchette@gmail.com>

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Package PSPManalysis updated to version 0.3.8 with previous version 0.3.7 dated 2021-12-06

Title: Analysis of Physiologically Structured Population Models
Description: Performs demographic, bifurcation and evolutionary analysis of physiologically structured population models, which is a class of models that consistently translates continuous-time models of individual life history to the population level. A model of individual life history has to be implemented specifying the individual-level functions that determine the life history, such as development and mortality rates and fecundity. M.A. Kirkilionis, O. Diekmann, B. Lisser, M. Nool, B. Sommeijer & A.M. de Roos (2001) <doi:10.1142/S0218202501001264>. O.Diekmann, M.Gyllenberg & J.A.J.Metz (2003) <doi:10.1016/S0040-5809(02)00058-8>. A.M. de Roos (2008) <doi:10.1111/j.1461-0248.2007.01121.x>.
Author: Andre M. de Roos [aut, cre], Ernst Hairer [ctb], Gerhard Wanner [ctb]
Maintainer: Andre M. de Roos <A.M.deRoos@uva.nl>

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Package infotheo updated to version 1.2.0.1 with previous version 1.2.0 dated 2014-07-26

Title: Information-Theoretic Measures
Description: Implements various measures of information theory based on several entropy estimators.
Author: Patrick E. Meyer
Maintainer: Patrick E. Meyer <software@meyerp.com>

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Package hwriter updated to version 1.3.2.1 with previous version 1.3.2 dated 2014-09-10

Title: HTML Writer - Outputs R Objects in HTML Format
Description: Easy-to-use and versatile functions to output R objects in HTML format.
Author: Gregoire Pau <gregoire.pau@gmail.com>
Maintainer: Gregoire Pau <gregoire.pau@gmail.com>

Diff between hwriter versions 1.3.2 dated 2014-09-10 and 1.3.2.1 dated 2022-04-08

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Package flexclust updated to version 1.4-1 with previous version 1.4-0 dated 2018-09-24

Title: Flexible Cluster Algorithms
Description: The main function kcca implements a general framework for k-centroids cluster analysis supporting arbitrary distance measures and centroid computation. Further cluster methods include hard competitive learning, neural gas, and QT clustering. There are numerous visualization methods for cluster results (neighborhood graphs, convex cluster hulls, barcharts of centroids, ...), and bootstrap methods for the analysis of cluster stability.
Author: Friedrich Leisch [aut, cre] , Evgenia Dimitriadou [ctb], Bettina Gruen [ctb]
Maintainer: Friedrich Leisch <Friedrich.Leisch@R-project.org>

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Package deBif updated to version 0.1.5 with previous version 0.1.0 dated 2022-03-14

Title: Bifurcation Analysis of Ordinary Differential Equation Systems
Description: Shiny application that performs bifurcation and phaseplane analysis of systems of ordinary differential equations. The package allows for computation of equilibrium curves as a function of a single free parameter, detection of transcritical, saddle-node and hopf bifurcation points along these curves, and computation of curves representing these transcritical, saddle-node and hopf bifurcation points as a function of two free parameters. The shiny-based GUI allows visualization of the results in both 2D- and 3D-plots. The implemented methods for solution localisation and curve continuation are based on the book "Elements of applied bifurcation theory" (Kuznetsov, Y. A., 1995; ISBN: 0-387-94418-4).
Author: Andre M. de Roos [aut, cre]
Maintainer: Andre M. de Roos <A.M.deRoos@uva.nl>

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Package safetyGraphics updated to version 2.1.0 with previous version 2.0.0 dated 2021-09-22

Title: Interactive Graphics for Monitoring Clinical Trial Safety
Description: A framework for evaluation of clinical trial safety. Users can interactively explore their data using the included 'Shiny' application.
Author: Jeremy Wildfire [cre, aut], Becca Krouse [aut], Preston Burns [aut], Xiao Ni [aut], James Buchanan [aut], Susan Duke [aut]
Maintainer: Jeremy Wildfire <jwildfire@gmail.com>

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Package rstantools updated to version 2.2.0 with previous version 2.1.1 dated 2020-07-06

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut, cre], Ben Goodrich [aut], Martin Lysy [aut], Andrew Johnson [ctb], Hamada S. Badr [ctb], Marco Colombo [ctb], Stefan Siegert [ctb], Trustees of Columbia University [cph]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between rstantools versions 2.1.1 dated 2020-07-06 and 2.2.0 dated 2022-04-08

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More information about rstantools at CRAN
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Package sporm (with last version 1.1.1) was removed from CRAN

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

2021-01-27 1.1.1
2011-01-19 1.1
2011-01-05 1.0

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Package ospsuite.utils (with last version 1.2.0) was removed from CRAN

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

2022-02-18 1.2.0
2022-02-09 1.1.0
2021-12-08 1.0.0

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Package SNPmaxsel (with last version 1.0-3) was removed from CRAN

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

2009-05-29 1.0-3
2007-06-11 1.0-1

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Package lacrmr (with last version 1.0.3) was removed from CRAN

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

2020-09-02 1.0.3

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Package safedata (with last version 1.1.0) was removed from CRAN

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

2022-03-18 1.1.0

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New package NetCoupler with initial version 0.1.0
Package: NetCoupler
Title: Inference of Causal Links Between a Network and an External Variable
Version: 0.1.0
Description: The 'NetCoupler' algorithm identifies potential direct effects of correlated, high-dimensional variables formed as a network with an external variable. The external variable may act as the dependent/response variable or as an independent/predictor variable to the network.
License: MIT + file LICENSE
URL: https://github.com/NetCoupler/NetCoupler
BugReports: https://github.com/NetCoupler/NetCoupler/issues
Depends: R (>= 3.5.0)
Imports: checkmate, dplyr, ids, igraph, lifecycle, magrittr, pcalg, ppcor, purrr, rlang (>= 0.4.6), stats, tibble, tidyselect, utils, tidygraph
Suggests: broom, furrr, knitr, rmarkdown, spelling, testthat (>= 2.1.0)
VignetteBuilder: knitr
RdMacros: lifecycle
biocViews:
ByteCompile: true
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2022-04-06 19:55:54 UTC; luke
Author: Luke Johnston [aut, cre, cph] , Clemens Wittenbecher [aut] , Fabian Eichelmann [ctb], Helena Zacharias [ctb], Daniel Ibsen [ctb]
Maintainer: Luke Johnston <lwjohnst@gmail.com>
Repository: CRAN
Date/Publication: 2022-04-08 09:02:33 UTC

More information about NetCoupler at CRAN
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New package fm.index with initial version 0.1.1
Package: fm.index
Title: Fast String Searching
Version: 0.1.1
Description: Wrapper for the Succinct Data Structure C++ library (SDSL v3) <https://github.com/xxsds/sdsl-lite> enabling fast string searching using FM indices. Partial string matching can be ~50-fold faster than simple string scans for many real-world string collections (corpora). A given corpus is converted into a compact in-memory FM index representation that can be efficiently queried for partial string matches.
License: MIT + file LICENSE
URL: https://github.com/clemenshug/fm.index
BugReports: https://github.com/clemenshug/fm.index/issues
Encoding: UTF-8
LinkingTo: Rcpp, stringi
Imports: Rcpp, stringi
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2022-04-06 21:07:59 UTC; chug
Author: Clemens Hug [aut, cre]
Maintainer: Clemens Hug <clemens.hug@gmail.com>
Repository: CRAN
Date/Publication: 2022-04-08 09:12:29 UTC

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Package corporaexplorer updated to version 0.8.5 with previous version 0.8.4 dated 2021-03-17

Title: A 'Shiny' App for Exploration of Text Collections
Description: Facilitates dynamic exploration of text collections through an intuitive graphical user interface and the power of regular expressions. The package contains 1) a helper function to convert a data frame to a 'corporaexplorerobject', 2) a 'Shiny' app for fast and flexible exploration of a 'corporaexplorerobject', and 3) a 'Shiny' app for simple retrieval/extraction of documents from a 'corporaexplorerobject' in a reading-friendly format. The package also includes demo apps with which one can explore Jane Austen's novels and the State of the Union Addresses (data from the 'janeaustenr' and 'sotu' packages respectively).
Author: Kristian Lundby Gjerde [aut, cre]
Maintainer: Kristian Lundby Gjerde <kristian.gjerde@gmail.com>

Diff between corporaexplorer versions 0.8.4 dated 2021-03-17 and 0.8.5 dated 2022-04-08

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 man/explore.Rd                                                       |   10 +
 man/matrix_via_r.Rd                                                  |    2 
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New package avidaR with initial version 1.0.1
Package: avidaR
Title: A computational biologist's toolkit to get data from avidaDB
Version: 1.0.1
Description: It provides users of the R programming language with 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. The functions send SPARQL queries to the avidaDB endpoint <https://graphdb.fortunalab.org/repositories/avidaDB>.
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: 2022-04-07 08:52:50 UTC; raul
Author: Miguel A. Fortuna [aut] , Raúl Ortega [cre]
Maintainer: Raúl Ortega <raul.ortega@ebd.csic.es>
Repository: CRAN
Date/Publication: 2022-04-08 09:12:32 UTC

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New package MSclust with initial version 1.0
Package: MSclust
Title: Multiple-Scaled Clustering
Version: 1.0
Date: 2022-04-06
Maintainer: Cristina Tortora <grikris1@gmail.com>
Description: Model based clustering using the multivariate multiple Scaled t (MST) and multivariate multiple scaled contaminated normal (MSCN) distributions. The MST is an extension of the multivariate Student-t distribution to include flexible tail behaviors, Forbes, F. & Wraith, D. (2014) <doi:10.1007/s11222-013-9414-4>. The MSCN represents a heavy-tailed generalization of the multivariate normal (MN) distribution to model elliptical contoured scatters in the presence of mild outliers (also referred to as "bad" points) and automatically detect bad points, Punzo, A. & Tortora, C. (2021) <doi:10.1177/1471082X19890935>.
Depends: R (>= 3.5)
Imports: gtools, Matrix, mclust, mnormt, mvtnorm, psych, cluster, ggplot2, GGally
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-04-06 17:42:14 UTC; cristina
Repository: CRAN
Date/Publication: 2022-04-08 08:52:30 UTC
Author: Cristina Tortora [aut, cre, cph] , Antonio Punzo [aut] , Louis Tran [aut]

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New package lite with initial version 1.0.0
Package: lite
Title: Likelihood-Based Inference for Time Series Extremes
Version: 1.0.0
Date: 2022-04-06
Description: Performs likelihood-based inference for stationary time series extremes. The general approach follows Fawcett and Walshaw (2012) <doi:10.1002/env.2133>. Marginal extreme value inferences are adjusted for cluster dependence in the data using the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>, producing an adjusted log-likelihood for the model parameters. A log-likelihood for the extremal index is produced using the K-gaps model of Suveges and Davison (2010) <doi:10.1214/09-AOAS292>. These log-likelihoods are combined to make inferences about return levels.
Imports: chandwich, exdex, graphics, revdbayes, sandwich, stats
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.3.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://paulnorthrop.github.io/lite/, https://github.com/paulnorthrop/lite
BugReports: https://github.com/paulnorthrop/lite/issues
NeedsCompilation: no
Packaged: 2022-04-06 16:53:34 UTC; paul
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2022-04-08 08:32:29 UTC

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New package incidentally with initial version 0.9.0
Package: incidentally
Title: Generates Incidence Matrices and Bipartite Graphs
Version: 0.9.0
Description: Functions to generate incidence matrices and bipartite graphs that have (1) a fixed fill rate, (2) given marginal sums, (3) marginal sums that follow given distributions, or (4) are generated by a social process mirroring team, group, or organization formation.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: igraph, methods, stats
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
URL: https://www.zacharyneal.com/backbone, https://github.com/zpneal/incidentally
BugReports: https://github.com/zpneal/incidentally/issues
NeedsCompilation: no
Packaged: 2022-04-06 12:51:10 UTC; zacharyneal
Author: Zachary Neal [aut, cre]
Maintainer: Zachary Neal <zpneal@msu.edu>
Repository: CRAN
Date/Publication: 2022-04-08 08:22:30 UTC

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New package ImportanceIndice with initial version 0.0.1
Package: ImportanceIndice
Title: Analyzing Data Through of Percentage of Importance Indice and Its Derivations
Version: 0.0.1
Description: The Percentage of Importance Indice (Percentage_I.I.) bases in magnitudes, frequencies, and distributions of occurrence of an event (DEMOLIN-LEITE, 2021) <http://scielo.sld.cu/pdf/cjas/v55n2/2079-3480-cjas-55-02-e10.pdf>. This index can detect the key loss sources (L.S) and solution sources (S.S.), classifying them according to their importance in terms of loss or income gain, on the productive system. The Percentage_I.I. = [(ks1 x c1 x ds1)/SUM (ks1 x c1 x ds1) + (ks2 x c2 x ds2) + (ksn x cn x dsn)] x 100. key source (ks) is obtained using simple regression analysis and magnitude (abundance). Constancy (c) is SUM of occurrence of L.S. or S.S. on the samples (absence = 0 or presence = 1), and distribution source (ds) is obtained using chi-square test. This index has derivations: i.e., i) Loss estimates and solutions effectiveness and ii) Attention and non-attention levels (DEMOLIN-LEITE,2024) <DOI: 10.1590/1519-6984.253215>.
License: GPL-3
Depends: crayon
Encoding: UTF-8
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2022-04-06 17:15:06 UTC; Alcinei
Author: Germano Leao Demolin Leite [aut] , Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>
Repository: CRAN
Date/Publication: 2022-04-08 08:32:32 UTC

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New package hilbert with initial version 0.2.1
Package: hilbert
Title: Coordinate Indexing on Hilbert Curves
Version: 0.2.1
Description: Provides utilities for encoding and decoding coordinates to/from Hilbert curves based on the iterative encoding implementation described in Chen et al. (2006) <doi:10.1002/spe.793>.
URL: https://hilbert.justinsingh.me, https://github.com/program--/hilbert
BugReports: https://github.com/program--/hilbert/issues
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++11
Suggests: bit64 (>= 4.0.0), testthat (>= 3.0.0), covr, knitr, rmarkdown
LinkingTo: cpp11
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-04-06 17:51:25 UTC; jsinghm
Author: Justin Singh-Mohudpur [aut, cre]
Maintainer: Justin Singh-Mohudpur <justin@justinsingh.me>
Repository: CRAN
Date/Publication: 2022-04-08 08:42:30 UTC

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New package dstat2x2xk with initial version 0.2.0
Package: dstat2x2xk
Title: Demonstrated Insensitivity to Bias in 2x2xK Contingency Tables
Version: 0.2.0
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: For an observational study with binary treatment, binary outcome and K strata, implements a d-statistic that uses those strata most insensitive to unmeasured bias in treatment assignment.<doi:10.1093/biomet/asaa032> The package has one function, dstat2x2xk.
License: GPL-2
Encoding: UTF-8
Imports: stats, BiasedUrn
NeedsCompilation: no
Packaged: 2022-04-06 15:26:53 UTC; rosenbap
Repository: CRAN
Date/Publication: 2022-04-08 08:22:33 UTC

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Package dragon updated to version 1.2.1 with previous version 1.2.0 dated 2021-07-07

Title: Deep Time Redox Analysis of the Geobiology Ontology Network
Description: Create, visualize, manipulate, and analyze bipartite mineral-chemistry networks for set of focal element(s) across deep-time on Earth. The method is described in Spielman and Moore (2020) <doi:10.3389/feart.2020.585087>.
Author: Stephanie J. Spielman [aut, cre]
Maintainer: Stephanie J. Spielman <stephanie.spielman@gmail.com>

Diff between dragon versions 1.2.0 dated 2021-07-07 and 1.2.1 dated 2022-04-08

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New package datazoom.amazonia with initial version 0.3.0
Package: datazoom.amazonia
Title: Simplify Access to Data from the Amazon Region
Version: 0.3.0
Description: Functions to download and treat data regarding the Brazilian Amazon region from a variety of official sources.
License: MIT + file LICENSE
URL: http://www.econ.puc-rio.br/datazoom/
Depends: R (>= 4.0)
Imports: data.table, dplyr, Hmisc, janitor, labelled, lubridate, magrittr, purrr, RCurl, readr, readxl, sf, sidrar, stats, stringi, stringr, tibble, tidyr, utils, XML
Suggests: googledrive, knitr, rmarkdown, terra
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-04-04 23:48:46 UTC; igorr
Author: Francisco de Lima Cavalcanti [aut, cre], DataZoom [fnd], Guilherme Jardim [aut], Daniel AC Barbosa [aut], Bruno Alcantara Duarte [aut], Fredie Didier [aut], Tito Bruni [aut], Victor Aliende da Matta [aut], Anna Carolina Dutra Saraiva [aut], Arthur C [...truncated...]
Maintainer: Francisco de Lima Cavalcanti <francisco.lima.cavalcanti@gmail.com>
Repository: CRAN
Date/Publication: 2022-04-08 08:12:29 UTC

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New package bmstdr with initial version 0.1.4
Package: bmstdr
Title: Bayesian Modeling of Spatio-Temporal Data with R
Version: 0.1.4
URL: https://www.sujitsahu.com
Description: Fits, validates and compares a number of Bayesian models for spatial and space time point referenced and areal unit data. Model fitting is done using several packages: 'rstan', 'INLA', 'spBayes', 'spTimer', 'spTDyn', 'CARBayes' and 'CARBayesST'. Model comparison is performed using the DIC and WAIC, and K-fold cross-validation where the user is free to select their own subset of data rows for validation. Sahu (2022) <doi:10.1201/9780429318443> describes the methods in detail.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: methods, spTimer, ggplot2, rstan, spBayes, CARBayes, CARBayesST, spTDyn, MCMCpack, Rdpack
RdMacros: Rdpack
Depends: R (>= 3.4.0), Rcpp (>= 0.12.0)
Suggests: INLA (>= 20.03.17), coda, extraDistr, RcppParallel, maps, rstantools (>= 2.0.0), xtable, MASS, mnormt, loo, cowplot, ggrepel, ggspatial, sf, knitr, rmarkdown, testthat, ggsn, ggpubr, akima, tidyr, huxtable, RColorBrewer, magick, markdown, bookdown, inlabru, BiocStyle
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
Additional_repositories: https://inla.r-inla-download.org/R/stable
NeedsCompilation: yes
Packaged: 2022-04-05 17:19:33 UTC; sks
Author: Sujit K. Sahu [aut, cre] , Duncan P. Lee [aut], K. Shuvo Bakar [aut]
Maintainer: Sujit K. Sahu <S.K.Sahu@soton.ac.uk>
Repository: CRAN
Date/Publication: 2022-04-08 08:12:33 UTC

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New package agroclim with initial version 0.2.0
Package: agroclim
Title: Climatic Indices for Agriculture
Version: 0.2.0
Description: Collection of functions to compute agroclimatic indices useful to zoning areas based on climatic variables and to evaluate the importance of temperature and precipitation for individual crops, or in general for agricultural lands.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats, ggplot2, gtable, plyr, zoo, abind, raster, ggpubr, cowplot, reshape, ggforce, ncdf4, easyNCDF, sp, multiApply, tools
NeedsCompilation: no
Packaged: 2022-04-06 15:24:14 UTC; rserrano
Author: Roberto Serrano-Notivoli [aut, cre]
Maintainer: Roberto Serrano-Notivoli <roberto.serrano@uam.es>
Repository: CRAN
Date/Publication: 2022-04-08 08:22:36 UTC

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Package SAMtool updated to version 1.3.0 with previous version 1.2.6 dated 2022-03-31

Title: Stock Assessment Methods Toolkit
Description: Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries. 'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting, model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Author: Quang Huynh [aut, cre], Tom Carruthers [aut], Adrian Hordyk [aut]
Maintainer: Quang Huynh <quang@bluematterscience.com>

Diff between SAMtool versions 1.2.6 dated 2022-03-31 and 1.3.0 dated 2022-04-08

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Package mlr3fselect updated to version 0.7.0 with previous version 0.6.1 dated 2022-01-20

Title: Feature Selection for 'mlr3'
Description: Implements methods for feature selection with 'mlr3', e.g. random search and sequential selection. Various termination criteria can be set and combined. The class 'AutoFSelector' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut] , Michel Lang [aut] , Bernd Bischl [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3fselect versions 0.6.1 dated 2022-01-20 and 0.7.0 dated 2022-04-08

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Package CLAST updated to version 1.0.1 with previous version 1.0.0 dated 2022-04-05

Title: Exact Confidence Limits after a Sequential Trial
Description: The user first provides design vectors n, a and b as well as null (p0) and alternative (p1) benchmark values for the probability of success. The key function "mv.plots.SM()" calculates mean values of exact upper and lower limits based on four different rank ordering methods. These plots form the basis of selecting a rank ordering. The function "inference()" calculates exact limits from a provided realisation and ordering choice. For more information, see "Exact confidence limits after a group sequential single arm binary trial" by Lloyd, C.J. (2020), Statistics in Medicine, Volume 38, 2389-2399, <doi:10.1002/sim.8909>.
Author: Chris J. Lloyd
Maintainer: Chris J. Lloyd <c.lloyd@mbs.edu>

Diff between CLAST versions 1.0.0 dated 2022-04-05 and 1.0.1 dated 2022-04-08

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Package bamlss updated to version 1.1-7 with previous version 1.1-6 dated 2021-11-24

Title: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Description: Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019) <doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021) <doi:10.18637/jss.v100.i04>.
Author: Nikolaus Umlauf [aut, cre] , Nadja Klein [aut] , Achim Zeileis [aut] , Meike Koehler [ctb], Thorsten Simon [aut] , Stanislaus Stadlmann [ctb]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>

Diff between bamlss versions 1.1-6 dated 2021-11-24 and 1.1-7 dated 2022-04-08

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Package tidyndr updated to version 0.2.1 with previous version 0.2.0 dated 2022-01-04

Title: Analysis of the Nigeria National Data Repository (NDR)
Description: The goal is to simplify routine analysis of the Nigeria National Data Repository (NDR) <https://ndr.phis3project.org.ng> using the PEPFAR Monitoring, Evaluation, and Reporting (MER) indicators (see <https://datim.zendesk.com/hc/en-us/articles/360000084446-MER-Indicator-Reference-Guides>). It is designed to import in to R patient-level line-list downloaded as 'csv' file from the front-end of the NDR.
Author: Stephen Balogun [aut, cre] , Scholastica Olanrewaju [ctb], Oluwaseun Okunuga [ctb], Temitope Kolade [ctb], Geraldine Abone [ctb]
Maintainer: Stephen Balogun <stephentaiyebalogun@gmail.com>

Diff between tidyndr versions 0.2.0 dated 2022-01-04 and 0.2.1 dated 2022-04-08

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Package geodiv updated to version 1.0.5 with previous version 1.0.4 dated 2021-09-03

Title: Methods for Calculating Gradient Surface Metrics
Description: Methods for calculating gradient surface metrics for continuous analysis of landscape features.
Author: Annie C. Smith, Phoebe Zarnetske, Kyla Dahlin, Adam Wilson, Andrew Latimer
Maintainer: Annie C. Smith <annie.smith@dnr.wa.gov>

Diff between geodiv versions 1.0.4 dated 2021-09-03 and 1.0.5 dated 2022-04-08

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Package elasdics updated to version 0.2.0 with previous version 0.1.5 dated 2022-01-26

Title: Elastic Analysis of Sparse, Dense and Irregular Curves
Description: Provides functions to align curves and to compute mean curves based on the elastic distance defined in the square-root-velocity framework. For more details on this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>). For more theoretical details on our methods and algorithms see Steyer et al. (2021, <arXiv:2104.11039>).
Author: Lisa Steyer <lisa.steyer@hu-berlin.de>
Maintainer: Lisa Steyer <lisa.steyer@hu-berlin.de>

Diff between elasdics versions 0.1.5 dated 2022-01-26 and 0.2.0 dated 2022-04-08

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Package bigalgebra updated to version 1.1.0 with previous version 1.0.1 dated 2021-05-12

Title: 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects
Description: Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.
Author: Frederic Bertrand [cre, ctb] , Michael J. Kane [aut], Bryan Lewis [aut], John W. Emerson [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between bigalgebra versions 1.0.1 dated 2021-05-12 and 1.1.0 dated 2022-04-08

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Package AutoScore updated to version 0.3.0 with previous version 0.2.0 dated 2021-06-16

Title: An Interpretable Machine Learning-Based Automatic Clinical Score Generator
Description: A novel interpretable machine learning-based framework to automate the development of a clinical scoring model for predefined outcomes. Our novel framework consists of six modules: variable ranking with machine learning, variable transformation, score derivation, model selection, domain knowledge-based score fine-tuning, and performance evaluation.The details are described in our research paper<doi:10.2196/21798>. Users or clinicians could seamlessly generate parsimonious sparse-score risk models (i.e., risk scores), which can be easily implemented and validated in clinical practice. We hope to see its application in various medical case studies.
Author: Feng Xie [aut, cre] , Yilin Ning [aut] , Han Yuan [aut] , Mingxuan Liu [aut] , Ehsan Saffari [aut] , Bibhas Chakraborty [aut] , Nan Liu [aut]
Maintainer: Feng Xie <xief@u.duke.nus.edu>

Diff between AutoScore versions 0.2.0 dated 2021-06-16 and 0.3.0 dated 2022-04-08

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