Mon, 12 Jul 2021

New package zonebuilder with initial version 0.0.2
Package: zonebuilder
Title: Create and Explore Geographic Zoning Systems
Version: 0.0.2
Authors@R: c(person(given = "Robin", family = "Lovelace", role = c("aut", "cre"), email = "rob00x@gmail.com", comment = c(ORCID = "0000-0001-5679-6536")), person(given = "Martijn", family = "Tennekes", role = "aut", email = "mtennekes@gmail.com"))
Description: Functions, documentation and example data to help divide geographic space into discrete polygons (zones). The functions are motivated by research into the merits of different zoning systems <doi:10.1068/a090169>. A flexible 'ClockBoard' zoning system is provided, which breaks-up space by concentric rings and radial lines emanating from a central point. By default, the diameter of the rings grow according the triangular number sequence <doi:10.1080/26375451.2019.1598687> with the first 4 'doughnuts' (or 'annuli') measuring 1, 3, 6, and 10 km wide. These annuli are subdivided into equal segments (12 by default), creating the visual impression of a dartboard. Zones are labelled according to distance to the centre and angular distance from North, creating a simple geographic zoning and labelling system useful for visualising geographic phenomena with a clearly demarcated central location such as cities.
License: GPL-3
BugReports: https://github.com/zonebuilders/zonebuilder/issues
Depends: R (>= 2.10)
Imports: sf, RColorBrewer, graphics, grDevices
Suggests: knitr, rmarkdown, tmap, tmaptools, pct, dplyr, lwgeom, leaflet, covr, bookdown
VignetteBuilder: knitr
URL: https://github.com/zonebuilders/zonebuilder, https://zonebuilders.github.io/zonebuilder/
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-07-12 08:21:17 UTC; robin
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Martijn Tennekes [aut]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-12 22:30:02 UTC

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New package minimaxdesign with initial version 0.1.5
Package: minimaxdesign
Title: Minimax and Minimax Projection Designs
Version: 0.1.5
Author: Simon Mak
Maintainer: Simon Mak <smak6@gatech.edu>
Description: Provides two main functions, minimax() and miniMaxPro(), for computing minimax and minimax projection designs using the minimax clustering algorithm in Mak and Joseph (2018) <DOI:10.1080/10618600.2017.1302881>. Current design region options include the unit hypercube ("hypercube"), the unit simplex ("simplex"), the unit ball ("ball"), as well as user-defined constraints on the unit hypercube ("custom"). Minimax designs can also be computed on user-provided images using the function minimax.map(). Design quality can be assessed using the function mMdist(), which computes the minimax (fill) distance of a design.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), randtoolbox, DiceDesign, MaxPro, doParallel, doSNOW, gtools, nloptr, foreach, jpeg, gmp, conf.design, pdist, DoE.base, FrF2, geometry
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2021-07-12 13:10:15 UTC; sm769
Repository: CRAN
Date/Publication: 2021-07-12 22:10:02 UTC

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Package htmldf updated to version 0.3.0 with previous version 0.2.0 dated 2021-02-21

Title: Simple Scraping and Tidy Webpage Summaries
Description: Simple tools for scraping webpages, extracting common html tags and parsing contents to a tidy, tabular format. Tools help with extraction of page titles, links, images, rss feeds, social media handles and page metadata.
Author: Alastair Rushworth
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>

Diff between htmldf versions 0.2.0 dated 2021-02-21 and 0.3.0 dated 2021-07-12

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New package HeritSeq with initial version 1.0.2
Package: HeritSeq
Title: Heritability of Gene Expression for Next-Generation Sequencing
Version: 1.0.2
Date: 2021-07-11
Author: W. Jenny Shi [aut, cre], Pamela Russell [aut], Pratyaydipta Rudra [aut, cre], Brian Vestal [aut, cre], Katerina Kechris [aut], Laura Saba [aut]
Maintainer: W. Jenny Shi <wjennyshi@gmail.com>
Description: Statistical framework to analyze heritability of gene expression based on next-generation sequencing data and simulating sequencing reads. Variance partition coefficients (VPC) are computed using linear mixed effects and generalized linear mixed effects models. Compound Poisson and negative binomial models are included. Reference: Rudra, Pratyaydipta, et al. "Model based heritability scores for high-throughput sequencing data." BMC bioinformatics 18.1 (2017): 143.
BugReports: https://github.com/KechrisLab/HeritSeq/issues
Depends: R (>= 3.2.3)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: cplm, DESeq2, lme4, pbapply, tweedie, MASS, SummarizedExperiment
NeedsCompilation: no
Packaged: 2021-07-12 04:27:30 UTC; wenjennyshi
Repository: CRAN
Date/Publication: 2021-07-12 22:30:04 UTC

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Package GNRS updated to version 0.3.0 with previous version 0.2.0 dated 2021-03-28

Title: Access the 'Geographic Name Resolution Service'
Description: Provides tools for interacting with the 'geographic name resolution service' ('GNRS') API <https://github.com/ojalaquellueva/gnrs> and associated functionality. The 'GNRS' is a batch application for resolving & standardizing political division names against standard name in the geonames database <http://www.geonames.org/>. The 'GNRS' resolves political division names at three levels: country, state/province and county/parish. Resolution is performed in a series of steps, beginning with direct matching to standard names, followed by direct matching to alternate names in different languages, followed by direct matching to standard codes (such as ISO and FIPS codes). If direct matching fails, the 'GNRS' attempts to match to standard and then alternate names using fuzzy matching, but does not perform fuzzing matching of political division codes. The 'GNRS' works down the political division hierarchy, stopping at the current level if all matches fail. In other words, if a country cannot be matched, the 'GNRS' does not attempt to match state or county.
Author: Brad Boyle [aut], Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>

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Package factor.switching updated to version 1.2 with previous version 1.1 dated 2020-04-15

Title: Post-Processing MCMC Outputs of Bayesian Factor Analytic Models
Description: A well known identifiability issue in factor analytic models is the invariance with respect to orthogonal transformations. This problem burdens the inference under a Bayesian setup, where Markov chain Monte Carlo (MCMC) methods are used to generate samples from the posterior distribution. The package applies a series of rotation, sign and permutation transformations (Papastamoulis and Ntzoufras (2020) <arXiv:2004.05105>) into raw MCMC samples of factor loadings, which are provided by the user. The post-processed output is identifiable and can be used for MCMC inference on any parametric function of factor loadings. Comparison of multiple MCMC chains is also possible.
Author: Panagiotis Papastamoulis [aut, cre] (<https://orcid.org/0000-0001-9468-7613>)
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>

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Package bootComb updated to version 1.0.2 with previous version 1.0.1 dated 2020-11-18

Title: Combine Parameter Estimates via Parametric Bootstrap
Description: Propagate uncertainty from several estimates when combining these estimates via a function. This is done by using the parametric bootstrap to simulate values from the distribution of each estimate to build up an empirical distribution of the combined parameter. Finally either the percentile method is used or the highest density interval is chosen to derive a confidence interval for the combined parameter with the desired coverage. References: Davison and Hinkley (1997,ISBN:0-521-57471-4) for the parametric bootstrap and percentile method, Gelman et al. (2014,ISBN:978-1-4398-4095-5) for the highest density interval, Stockdale et al. (2020)<doi:10.1016/j.jhep.2020.04.008> for an example of combining conditional prevalences.
Author: Marc Henrion [aut, cre] (<https://orcid.org/0000-0003-1242-839X>)
Maintainer: Marc Henrion <mhenrion@mlw.mw>

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Package stochvol updated to version 3.1.0 with previous version 3.0.6 dated 2021-05-20

Title: Efficient Bayesian Inference for Stochastic Volatility (SV) Models
Description: Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models with and without asymmetry (leverage) via Markov chain Monte Carlo (MCMC) methods. Methodological details are given in Kastner and Frühwirth-Schnatter (2014) <doi:10.1016/j.csda.2013.01.002> and Hosszejni and Kastner (2019) <doi:10.1007/978-3-030-30611-3_8>; the most common use cases are described in Kastner (2016) <doi:10.18637/jss.v069.i05> and the package vignette.
Author: Darjus Hosszejni [aut, cre] (<https://orcid.org/0000-0002-3803-691X>), Gregor Kastner [aut] (<https://orcid.org/0000-0002-8237-8271>)
Maintainer: Darjus Hosszejni <darjus.hosszejni@wu.ac.at>

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Package MNLpred updated to version 0.0.7 with previous version 0.0.6 dated 2021-03-04

Title: Simulated Predicted Probabilities for Multinomial Logit Models
Description: Functions to easily return simulated predicted probabilities and first differences for multinomial logit models. It takes a specified scenario and a multinomial model to predict probabilities with a set of coefficients, drawn from a simulated sampling distribution. The simulated predictions allow for meaningful plots with means and confidence intervals. The methodological approach is based on the principles laid out by King, Tomz, and Wittenberg (2000) <doi:10.2307/2669316> and Hanmer and Ozan Kalkan (2016) <doi:10.1111/j.1540-5907.2012.00602.x>.
Author: Manuel Neumann [aut, cre] (<https://orcid.org/0000-0002-7953-3939>)
Maintainer: Manuel Neumann <manuel.neumann@mzes.uni-mannheim.de>

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Package mlr3filters updated to version 0.4.2 with previous version 0.4.1 dated 2021-03-08

Title: Filter Based Feature Selection for 'mlr3'
Description: Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.
Author: Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Martin Binder [aut]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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Package magickGUI updated to version 1.3.0 with previous version 1.2.2 dated 2021-01-08

Title: GUI Tools for Interactive Image Processing with 'magick'
Description: Enables us to use the functions of the package 'magick' interactively.
Author: Shota Ochi [aut, cre]
Maintainer: Shota Ochi <shotaochi1990@gmail.com>

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New package lefko3 with initial version 3.5.2
Package: lefko3
Title: Historical and Ahistorical Population Projection Matrix Analysis
Version: 3.5.2
Date: 2021-07-12
Authors@R: c(person(given = "Richard P.", family = "Shefferson", email = "cdorm@g.ecc.u-tokyo.ac.jp", role = c("aut", "cre"), comment=c(ORCID="0000-0002-5234-3131")), person(given = "Johan", family = "Ehrlen", role = "aut", comment=c(ORCID="0000-0001-8539-8967")))
Description: Creates matrix population models for use in population ecological analyses. Specializes on the construction of historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices. Methodology based on Ehrlen (2000) <doi:10.1890/0012-9658(2000)081[1675:TDOPPD]2.0.CO;2>.
Encoding: UTF-8
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.5), lme4, MASS, MuMIn, pscl, SparseM, stats, stringr, VGAM
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
Suggests: knitr, popbio, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-07-12 07:52:21 UTC; richshefferson
Author: Richard P. Shefferson [aut, cre] (<https://orcid.org/0000-0002-5234-3131>), Johan Ehrlen [aut] (<https://orcid.org/0000-0001-8539-8967>)
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-07-12 15:40:02 UTC

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Package genSEIR updated to version 0.1.1 with previous version 0.1.0 dated 2021-06-23

Title: Predict Epidemic Curves with Generalized SEIR Modeling
Description: Performs generalized Susceptible-Exposed-Infected-Recovered (SEIR) modeling to predict epidemic curves. The method is described in Peng et al. (2020) <doi:10.1101/2020.02.16.20023465>.
Author: Selcuk Korkmaz [aut, cre] (<https://orcid.org/0000-0003-4632-6850>)
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package gen3sis updated to version 1.3 with previous version 1.2 dated 2020-12-15

Title: General Engine for Eco-Evolutionary Simulations
Description: Contains an engine for spatially-explicit eco-evolutionary mechanistic models with a modular implementation and several support functions. It allows exploring the consequences of ecological and macroevolutionary processes across realistic or theoretical spatio-temporal landscapes on biodiversity patterns as a general term.
Author: ETH Zürich [cph], Oskar Hagen [aut, cre] (Landscape Ecology, WSL and ETH Zürich, Switzerland), Benjamin Flueck [aut] (Landscape Ecology, WSL and ETH Zürich, Switzerland), Fabian Fopp [aut] (Landscape Ecology, WSL and ETH Zürich, Switzerland), Juliano S. Cabral [aut] (Ecosystem Modeling, Center for Computational and Theoretical Biology, University of Würzburg, Würzburg, Germany), Florian Hartig [aut] (Theoretical Ecology, University of Regensburg, Regensburg, Germany), Mikael Pontarp [aut] (Department of Biology, Lund University, Lund, Sweden), Charles Novaes de Santana [ctb] (Landscape Ecology, WSL and ETH Zürich, Switzerland), Thiago F. Rangel [aut] (Department of Ecology, Universidade Federal de Goiás, Goiás, Brazil), Theo Gaboriau [ctb] (Depatment of Computational Biology, Lausanne University, Switzerland), Loïc Pellissier [aut, ths] (Landscape Ecology, WSL and ETH Zürich, Switzerland)
Maintainer: Oskar Hagen <oskar@hagen.bio>

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More information about gen3sis at CRAN
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Package EQUIVNONINF updated to version 1.0.2 with previous version 1.0 dated 2017-09-19

Title: Testing for Equivalence and Noninferiority
Description: Making available in R the complete set of programs accompanying S. Wellek's (2010) monograph ''Testing Statistical Hypotheses of Equivalence and Noninferiority. Second Edition'' (Chapman&Hall/CRC).
Author: Stefan Wellek, Peter Ziegler
Maintainer: Stefan Wellek <stefan.wellek@zi-mannheim.de>

Diff between EQUIVNONINF versions 1.0 dated 2017-09-19 and 1.0.2 dated 2021-07-12

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Package Signac updated to version 1.3.0 with previous version 1.2.1 dated 2021-05-11

Title: Analysis of Single-Cell Chromatin Data
Description: A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2020) <doi:10.1101/2020.11.09.373613>.
Author: Tim Stuart [aut, cre] (<https://orcid.org/0000-0002-3044-0897>), Avi Srivastava [aut] (<https://orcid.org/0000-0001-9798-2079>), Paul Hoffman [ctb] (<https://orcid.org/0000-0002-7693-8957>), Rahul Satija [ctb] (<https://orcid.org/0000-0001-9448-8833>)
Maintainer: Tim Stuart <tstuart@nygenome.org>

Diff between Signac versions 1.2.1 dated 2021-05-11 and 1.3.0 dated 2021-07-12

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Package librarian updated to version 1.8.1 with previous version 1.7.0 dated 2019-03-13

Title: Install, Update, Load Packages from CRAN, 'GitHub', and 'Bioconductor' in One Step
Description: Automatically install, update, and load 'CRAN', 'GitHub', and 'Bioconductor' packages in a single function call. By accepting bare unquoted names for packages, it's easy to add or remove packages from the list.
Author: Desi Quintans [aut, cre]
Maintainer: Desi Quintans <science@desiquintans.com>

Diff between librarian versions 1.7.0 dated 2019-03-13 and 1.8.1 dated 2021-07-12

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Package spatstat.geom updated to version 2.2-2 with previous version 2.2-0 dated 2021-06-15

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines types of spatial data such as point patterns, mainly in two dimensions, but also in higher dimensions. Provides class support, and functions for geometrical operations on spatial data, used in the 'spatstat' family of packages. Excludes spatial data on a linear network, which are covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Sebastian Meyer [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Waagepetersen [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.geom versions 2.2-0 dated 2021-06-15 and 2.2-2 dated 2021-07-12

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New package PRISMA2020 with initial version 0.0.3
Package: PRISMA2020
Title: Make Interactive 'PRISMA' Flow Diagrams
Version: 0.0.3
Authors@R: c( person(given = "Neal", family = "Haddaway", role = c("aut", "cre"), email = "nealhaddaway@gmail.com", comment = c(ORCID = "0000-0003-3902-2234")), person("Luke", "McGuinness", role = "aut", email = "luke.mcguinness@bristol.ac.uk", comment = c(ORCID = "0000-0001-8730-9761")), person("Chris", "Pritchard", role = "aut", email = "chris.pritchard@ntu.ac.uk", comment = c(ORCID = "0000-0002-1143-9751")) )
Description: Systematic reviews should be described in a high degree of methodological detail. The 'PRISMA' Statement calls for a high level of reporting detail in systematic reviews and meta-analyses. An integral part of the methodological description of a review is a flow diagram. This package produces an interactive flow diagram that conforms to the 'PRISMA2020' preprint. When made interactive, the reader/user can click on each box and be directed to another website or file online (e.g. a detailed description of the screening methods, or a list of excluded full texts), with a mouse-over tool tip that describes the information linked to in more detail. Interactive versions can be saved as HTML files, whilst static versions for inclusion in manuscripts can be saved as HTML, PDF, PNG, SVG, PS or WEBP files.
Imports: DiagrammeR, DiagrammeRsvg, htmltools, htmlwidgets, rsvg, scales, shiny, shinyjs, stats, stringr, utils, xml2, webp, DT, rio, tools
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-07-12 05:17:00 UTC; nealhaddaway
Author: Neal Haddaway [aut, cre] (<https://orcid.org/0000-0003-3902-2234>), Luke McGuinness [aut] (<https://orcid.org/0000-0001-8730-9761>), Chris Pritchard [aut] (<https://orcid.org/0000-0002-1143-9751>)
Maintainer: Neal Haddaway <nealhaddaway@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-12 09:30:05 UTC

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New package polypharmacy with initial version 1.0.0
Package: polypharmacy
Version: 1.0.0
Title: Calculate Several Polypharmacy Indicators
Description: Analyse prescription drug deliveries to calculate several indicators of polypharmacy corresponding to the various definitions found in the literature. Bjerrum, L., Rosholm, J. U., Hallas, J., & Kragstrup, J. (1997) <doi:10.1007/s002280050329>. Chan, D.-C., Hao, Y.-T., & Wu, S.-C. (2009a) <doi:10.1002/pds.1712>. Fincke, B. G., Snyder, K., Cantillon, C., Gaehde, S., Standring, P., Fiore, L., ... Gagnon, D.R. (2005) <doi:10.1002/pds.966>. Hovstadius, B., Astrand, B., & Petersson, G. (2009) <doi:10.1186/1472-6904-9-11>. Hovstadius, B., Astrand, B., & Petersson, G. (2010) <doi:10.1002/pds.1921>. Kennerfalk, A., Ruigómez, A., Wallander, M.-A., Wilhelmsen, L., & Johansson, S. (2002) <doi:10.1345/aph.1A226>. Masnoon, N., Shakib, S., Kalisch-Ellett, L., & Caughey, G. E. (2017) <doi:10.1186/s12877-017-0621-2>. Narayan, S. W., & Nishtala, P. S. (2015) <doi:10.1007/s40801-015-0020-y>. Nishtala, P. S., & Salahudeen, M. S. (2015) <doi:10.1159/000368191>. Park, H. Y., Ryu, H. N., Shim, M. K., Sohn, H. S., & Kwon, J. W. (2016) <doi:10.5414/cp202484>. Veehof, L., Stewart, R., Haaijer-Ruskamp, F., & Jong, B. M. (2000) <doi:10.1093/fampra/17.3.261>.
Authors@R: c(person(given = "Guillaume", family = "Boucher", role = c("aut", "cre"), email = "guiboucher8@gmail.com"), person(given = "Bernard", family = "Candas", role = "aut", email = "bernard.candas.1@gmail.com"), person(given = "Houssem", family = "Missaoui", role = "aut", email = "missaoui_houssem@hotmail.fr"), person(given = "Caroline", family = "Sirois", role = "sad", email = "caroline.sirois@pha.ulaval.ca"), person(given = "Marc", family = "Simard", role = "sad", email = "marc.simard@inspq.qc.ca"))
Maintainer: Guillaume Boucher <guiboucher8@gmail.com>
BugReports: https://github.com/guiboucher/polypharmacy/issues
License: MIT + file LICENSE
Imports: data.table, doParallel, foreach, itertools, lubridate, parallel, stringr
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2021-07-12 03:13:21 UTC; Guillaume Boucher
Author: Guillaume Boucher [aut, cre], Bernard Candas [aut], Houssem Missaoui [aut], Caroline Sirois [sad], Marc Simard [sad]
Repository: CRAN
Date/Publication: 2021-07-12 09:30:02 UTC

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New package penfa with initial version 0.1.0
Package: penfa
Title: Single- And Multiple-Group Penalized Factor Analysis
Version: 0.1.0
Authors@R: c(person(given = "Elena", family = "Geminiani", role = c("aut", "cre"), email = "geminianielena@gmail.com", comment = c(ORCID = "0000-0001-5992-9728")), person(given = "Giampiero", family = "Marra", role = c("aut"), email = "giampiero.marra@ucl.ac.uk", comment = c(ORCID = "0000-0002-9010-2646")), person(given = "Irini", family = "Moustaki", role = c("aut"), email = "i.moustaki@lse.ac.uk", comment = c(ORCID = "0000-0001-8371-1251")) )
Description: Fits single- and multiple-group penalized factor analysis models via a trust-region algorithm with integrated automatic multiple tuning parameter selection (Geminiani et al., 2021 <doi:10.1007/s11336-021-09751-8>). Available penalties include lasso, adaptive lasso, scad, mcp, and ridge.
License: GPL-3
Depends: R(>= 3.5.0)
Imports: MASS, methods, mgcv, GJRM, stats, trust, utils
Suggests: cartography, knitr, plotly, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/egeminiani/penfa
NeedsCompilation: no
Packaged: 2021-07-11 17:59:23 UTC; egeminiani
Author: Elena Geminiani [aut, cre] (<https://orcid.org/0000-0001-5992-9728>), Giampiero Marra [aut] (<https://orcid.org/0000-0002-9010-2646>), Irini Moustaki [aut] (<https://orcid.org/0000-0001-8371-1251>)
Maintainer: Elena Geminiani <geminianielena@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-12 09:20:02 UTC

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New package onbrand with initial version 1.0.0
Package: onbrand
Title: Templated Reporting Workflows in Word and PowerPoint
Version: 1.0.0
Authors@R: c(person("John", "Harrold", role = c("aut", "cre"), email = "john.m.harrold@gmail.com", comment = c(ORCID="0000-0003-2052-4373")), person("Bryan", "Smith", role = c("aut"), email = "r.bryan.smith@gmail.com "))
Maintainer: John Harrold <john.m.harrold@gmail.com>
Description: Automated reporting in Word and PowerPoint can require customization for each organizational template. Onbrand adds standard reporting functions and an abstraction layer to facilitate automated reporting workflows that can be replicated across different organizational templates.
URL: https://john-harrold.github.io/onbrand/
BugReports: https://github.com/john-harrold/onbrand/issues
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: FALSE
VignetteBuilder: knitr
Imports: dplyr, flextable, ggplot2, magrittr, officer (>= 0.3.7), stringr, rlang, yaml
Suggests: knitr, knitrdata, markdown, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2021-07-10 14:49:08 UTC; jmh
Author: John Harrold [aut, cre] (<https://orcid.org/0000-0003-2052-4373>), Bryan Smith [aut]
Repository: CRAN
Date/Publication: 2021-07-12 09:20:06 UTC

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Package nomclust updated to version 2.5.0 with previous version 2.2.1 dated 2020-11-09

Title: Hierarchical Cluster Analysis of Nominal Data
Description: Similarity measures for hierarchical clustering of objects characterized by nominal (categorical) variables. Evaluation criteria for nominal data clustering.
Author: Zdenek Sulc [aut, cre], Jana Cibulkova [aut], Hana Rezankova [aut]
Maintainer: Zdenek Sulc <zdenek.sulc@vse.cz>

Diff between nomclust versions 2.2.1 dated 2020-11-09 and 2.5.0 dated 2021-07-12

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 61 files changed, 828 insertions(+), 861 deletions(-)

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New package rstudio.prefs with initial version 0.1.4
Package: rstudio.prefs
Title: Set 'RStudio' Preferences
Version: 0.1.4
Authors@R: person(given = "Daniel D.", family = "Sjoberg", role = c("aut", "cre", "cph"), email = "danield.sjoberg@gmail.com", comment = c(ORCID = "0000-0003-0862-2018"))
Description: As of 'RStudio' v1.3, the preferences in the Global Options dialog (and a number of other preferences that aren’t) are now saved in simple, plain-text JSON files. This package provides an interface for working with these 'RStudio' JSON preference files to easily make modifications without using the point-and-click option menus. This is particularly helpful when working on teams to ensure a unified experience across machines and utilizing settings for best practices.
License: GPL (>= 3)
URL: https://github.com/ddsjoberg/rstudio.prefs, http://www.danieldsjoberg.com/rstudio.prefs/index.html
BugReports: https://github.com/ddsjoberg/rstudio.prefs/issues
Depends: R (>= 3.4)
Imports: cli (>= 2.5.0), dplyr (>= 1.0.6), fs (>= 1.5.0), jsonlite (>= 1.7.2), purrr (>= 0.3.4), rappdirs (>= 0.3.3), rlang (>= 0.4.11), rstudioapi (>= 0.13), rvest (>= 1.0.0), tibble (>= 3.1.2)
Suggests: covr (>= 3.5.1), spelling (>= 2.2), testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-07-10 18:30:03 UTC; SjobergD
Author: Daniel D. Sjoberg [aut, cre, cph] (<https://orcid.org/0000-0003-0862-2018>)
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-12 08:30:02 UTC

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New package nser with initial version 1.0.0
Package: nser
Title: Bhavcopy from National Stock Exchange(NSE) India of Equities and Derivatives(F&O)
Version: 1.0.0
Date: 2021-07-06
Authors@R: person("Nandan", "Patil", email = "tryanother609@gmail.com", role = c("cre", "aut"))
Maintainer: Nandan Patil <tryanother609@gmail.com>
Description: Download Historical Bhavcopy from NSE of Equities and Derivatives(F&O) segment. Data source is from NSE webpage <https://www.nseindia.com/all-reports>.
URL: https://github.com/nandp1/nser/
BugReports: https://github.com/nandp1/nser/issues
Language: en-US
License: GPL-2
Depends: R (>= 3.0)
Encoding: UTF-8
Imports: stats, utils, readr
Suggests: testthat, knitr, rmarkdown, reshape2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-11 05:03:11 UTC; ACER
Author: Nandan Patil [cre, aut]
Repository: CRAN
Date/Publication: 2021-07-12 08:50:02 UTC

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New package DA with initial version 1.2.0
Package: DA
Version: 1.2.0
Date: 2021-07-11
Title: Discriminant Analysis for Evolutionary Inference
Description: Discriminant Analysis (DA) for evolutionary inference (Qin, X. et al, 2020, <doi:10.22541/au.159256808.83862168>), especially for population genetic structure and community structure inference. This package incorporates the commonly used linear and non-linear, local and global supervised learning approaches (discriminant analysis), including Linear Discriminant Analysis of Kernel Principal Components (LDAKPC), Local (Fisher) Linear Discriminant Analysis (LFDA), Local (Fisher) Discriminant Analysis of Kernel Principal Components (LFDAKPC) and Kernel Local (Fisher) Discriminant Analysis (KLFDA). These discriminant analyses can be used to do ecological and evolutionary inference, including demography inference, species identification, and population/community structure inference.
Authors@R: c(person("Xinghu", "Qin", role=c("aut", "cre", "cph"), email="qinxinghu@gmail.com", comment=c(ORCID="0000-0003-2351-3610")))
biocViews: BiomedicalInformatics, ChIPSeq, Clustering, Coverage, DNAMethylation, DifferentialExpression, DifferentialMethylation,Software, DifferentialSplicing, Epigenetics, FunctionalGenomics, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, MultipleComparison, Normalization, Pathways, QualityControl, RNASeq, Regression, SAGE, Sequencing, Software, SystemsBiology, TimeCourse, Transcription, Transcriptomics
Depends: R (>= 3.5)
License: GPL-3
SystemRequirements: GNU make
URL: https://xinghuq.github.io/DA/index.html
BugReports: https://github.com/xinghuq/DA/issues
Imports: adegenet,lfda,MASS,kernlab,klaR,plotly,rARPACK,grDevices,stats,utils
VignetteBuilder: knitr
NeedsCompilation: no
Suggests: knitr,testthat,rmarkdown
Packaged: 2021-07-11 04:35:11 UTC; Qin_st_andrews
Author: Xinghu Qin [aut, cre, cph] (<https://orcid.org/0000-0003-2351-3610>)
Maintainer: Xinghu Qin <qinxinghu@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-12 08:40:02 UTC

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Package WikidataR updated to version 2.3.1 with previous version 2.2.0 dated 2021-07-05

Title: Read-Write API Client Library for 'Wikidata'
Description: An API client for the Wikidata <https://www.wikidata.org/wiki/Wikidata:Main_Page> store of semantic data.
Author: Thomas Shafee [aut, cre], Oliver Keyes [aut, cre], Serena Signorelli [aut, cre], Alex Lum [ctb], Christian Graul [ctb], Mikhail Popov [ctb]
Maintainer: Thomas Shafee <T.Shafee@latrobe.edu.au>

Diff between WikidataR versions 2.2.0 dated 2021-07-05 and 2.3.1 dated 2021-07-12

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New package uncorbets with initial version 0.1.0
Package: uncorbets
Title: Uncorrelated Bets via Minimum Torsion Algorithm
Version: 0.1.0
Authors@R: c(person(given = "Bernardo", family = "Reckziegel", email = "bernardo_cse@hotmail.com", role = c("aut", "cre", "cph")) )
Description: Implements Minimum Torsion for portfolio diversification as described in Meucci, Attilio (2013) <doi:10.2139/ssrn.2276632>.
License: MIT + file LICENSE
URL: https://github.com/Reckziegel/uncorbets
BugReports: https://github.com/Reckziegel/uncorbets/issues
Imports: stats
Suggests: spelling, covr, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-07-09 18:35:07 UTC; Berna
Author: Bernardo Reckziegel [aut, cre, cph]
Maintainer: Bernardo Reckziegel <bernardo_cse@hotmail.com>
Repository: CRAN
Date/Publication: 2021-07-12 07:30:02 UTC

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Package TreeDist updated to version 2.1.0 with previous version 2.0.3 dated 2021-01-31

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith, 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space, for calculating the median of sets of trees, and for computing the information content of trees and splits.
Author: Martin R. Smith [aut, cre, cph, prg] (<https://orcid.org/0000-0001-5660-1727>), Roy Jonker [prg, cph], Yong Yang [ctb, cph], Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeDist versions 2.0.3 dated 2021-01-31 and 2.1.0 dated 2021-07-12

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 73 files changed, 1936 insertions(+), 2037 deletions(-)

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Package TestDesign updated to version 1.2.5 with previous version 1.2.4 dated 2021-06-05

Title: Optimal Test Design Approach to Fixed and Adaptive Test Construction
Description: Use the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> in constructing fixed and adaptive tests. Supports the following mixed-integer programming (MIP) solver packages: 'lpsymphony', 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.
Author: Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>), Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>)
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

Diff between TestDesign versions 1.2.4 dated 2021-06-05 and 1.2.5 dated 2021-07-12

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 11 files changed, 109 insertions(+), 320 deletions(-)

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New package scCAN with initial version 1.0.0
Package: scCAN
Title: Single-Cell Clustering using Autoencoder and Network Fusion
Version: 1.0.0
Authors@R: c( person("Bang", "Tran", , "bang.t.s@nevada.unr.edu", role = c("aut", "cre")), person("Duc", "Tran", role = c("aut")), person("Hung", "Nguyen", role = c("aut")), person("Tin", "Nguyen", role = c("fnd")) )
Maintainer: Bang Tran <bang.t.s@nevada.unr.edu>
Description: A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') for segregating the cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines the optimal number of clusters and then partitions the cells in a way such that the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows, Linux, and Mac OS.
License: LGPL
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.4)
Imports: scDHA, FNN, purrr, stats, markdown
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-09 18:23:34 UTC; User
Author: Bang Tran [aut, cre], Duc Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd]
Repository: CRAN
Date/Publication: 2021-07-12 07:30:05 UTC

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New package rankUncertainty with initial version 1.0.0.0
Package: rankUncertainty
Title: Methods for Working with Uncertainty in Rankings
Version: 1.0.0.0
Authors@R: person(given = "Justin", family = "Rising", role = c("aut", "cre"), email = "justin.rising@us.af.mil")
Description: Provides methods for measuring and describing uncertainty in rankings. See Rising (2021) <arXiv:2107.03459> for background.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
SystemRequirements: GNU, C++11
LinkingTo: cpp11, Rcpp
Depends: R (>= 3.6),
Imports: Rcpp, magrittr,
Suggests: ggplot2, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2021-07-09 17:36:02 UTC; jkris
Author: Justin Rising [aut, cre]
Maintainer: Justin Rising <justin.rising@us.af.mil>
Repository: CRAN
Date/Publication: 2021-07-12 07:30:08 UTC

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Package purgeR updated to version 1.2 with previous version 1.1 dated 2021-05-10

Title: Inbreeding-Purging Estimation in Pedigreed Populations
Description: Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load. In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included. Caballero A. and Toro M.A. (2000) <doi:10.1017/s0016672399004449>. García-Dorado A., Wang J. and López-Cortegano E. (2016) <doi:10.1534/g3.116.032425>. Gulisija D. and Crow J.F. (2007) <doi:10.1111/j.1558-5646.2007.00088.x>. Gutiérrez J.P., Cervantes I., Goyache F. (2009) <doi:10.1111/j.1439-0388.2009.00810.x>. López-Cortegano E., Bersabé D., Wang J., García-Dorado A. (2018) <doi:10.1038/s41437-017-0045-y>.
Author: Eugenio López-Cortegano [aut, cre] (<https://orcid.org/0000-0001-6914-6305>)
Maintainer: Eugenio López-Cortegano <elcortegano@gmail.com>

Diff between purgeR versions 1.1 dated 2021-05-10 and 1.2 dated 2021-07-12

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 38 files changed, 281 insertions(+), 201 deletions(-)

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New package OceanView with initial version 1.0.6
Package: OceanView
Version: 1.0.6
Title: Visualisation of Oceanographic Data and Model Output
Author: Karline Soetaert <karline.soetaert@nioz.nl>
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>
Depends: plot3D, plot3Drgl, R (>= 3.2)
Imports: methods, graphics, grDevices, stats, rgl, shape
Description: Functions for transforming and viewing 2-D and 3-D (oceanographic) data and model output.
License: GPL (>= 3.0)
LazyData: yes
NeedsCompilation: yes
Packaged: 2021-07-09 09:30:31 UTC; karlines
Repository: CRAN
Date/Publication: 2021-07-12 08:00:13 UTC

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New package justifier with initial version 0.2.0
Package: justifier
Title: Human and Machine-Readable Justifications and Justified Decisions Based on 'YAML'
Version: 0.2.0
Authors@R: c( person(given = "Gjalt-Jorn Ygram", family = "Peters", role = c("aut", "cre"), email = "gjalt-jorn@behaviorchange.eu", comment = c(ORCID = "0000-0002-0336-9589")), person(given = "Szilvia", family = "Zorgo", role = c("ctb"), comment = c(ORCID = "0000-0002-6916-2097")))
Maintainer: Gjalt-Jorn Ygram Peters <gjalt-jorn@behaviorchange.eu>
Description: Leverages the 'yum' package to implement a 'YAML' ('YAML Ain't Markup Language', a human friendly standard for data serialization; see <https:yaml.org>) standard for documenting justifications, such as for decisions taken during the planning, execution and analysis of a study or during the development of a behavior change intervention as illustrated by Marques & Peters (2019) <doi:10.17605/osf.io/ndxha>. These justifications are both human- and machine-readable, facilitating efficient extraction and organisation.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://r-packages.gitlab.io/justifier
BugReports: https://gitlab.com/r-packages/justifier/-/issues
Imports: data.tree (>= 0.7.8), DiagrammeR (>= 1.0.0), DiagrammeRsvg (>= 0.1), purrr (>= 0.3.0), yaml (>= 2.2.0), yum (>= 0.0.1)
Suggests: covr, here, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-11 09:39:31 UTC; micro
Author: Gjalt-Jorn Ygram Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Szilvia Zorgo [ctb] (<https://orcid.org/0000-0002-6916-2097>)
Repository: CRAN
Date/Publication: 2021-07-12 08:00:02 UTC

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New package gsDesign with initial version 3.2.1
Package: gsDesign
Version: 3.2.1
Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Authors@R: person(given = "Keaven", family = "Anderson", email = "keaven_anderson@merck.com", role = c('aut','cre'))
Depends: R (>= 3.5.0), ggplot2 (>= 0.9.2)
License: GPL (>= 3)
Imports: stats, magrittr, rlang, methods, graphics, tools, dplyr, tidyr, xtable
Suggests: knitr, scales, rmarkdown, gt, testthat, covr, gridExtra, tibble, utils, mvtnorm
VignetteBuilder: knitr
Copyright: Copyright 2010, Merck Research Laboratories
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2021-07-11 09:56:37 UTC; keaven
Author: Keaven Anderson [aut, cre]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>
Repository: CRAN
Date/Publication: 2021-07-12 08:00:05 UTC

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Package ggheatmap updated to version 2.0 with previous version 1.1 dated 2021-07-11

Title: Plot Heatmap
Description: The flexibility and excellence of 'ggplot2' is unquestionable, so many drawing tools basically need 'ggplot2' as the operating object. In order to develop a heatmap drawing system based on ggplot2, we developed this tool, mainly to solve the heatmap puzzle problem and the flexible connection between the heatmap and the 'ggplot2' object. The advantages of this tool are as follows: 1. More flexible label settings; 2. Realize the linkage of heatmap and 'ggplot2' drawing system, which is helpful for operations such as puzzles; 3. Simple and easy to operate; 4. Optimization of clustering tree visualization.
Author: Baiwei Luo [aut, cre]
Maintainer: Baiwei Luo <2734782653@qq.com>

Diff between ggheatmap versions 1.1 dated 2021-07-11 and 2.0 dated 2021-07-12

 DESCRIPTION   |    6 +++---
 MD5           |    4 ++--
 R/ggheatmap.R |    4 ++--
 3 files changed, 7 insertions(+), 7 deletions(-)

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New package baggingbwsel with initial version 1.0
Package: baggingbwsel
Title: Bagging Bandwidth Selection in Kernel Density and Regression Estimation
Version: 1.0
Date: 2021-07-08
Authors@R: c(person("Daniel","Barreiro-Ures",email="daniel.barreiro.ures@udc.es",role=c("aut","cre")), person("Jeffrey","Hart",role="aut"), person("Ricardo","Cao",role="aut"), person("Mario","Francisco-Fernandez",role="aut"))
Description: Bagging bandwidth selection methods for the Parzen-Rosenblatt and Nadaraya-Watson estimators. These bandwidth selectors can achieve greater statistical precision than their non-bagged counterparts while being computationally fast. See Barreiro-Ures et al. (2020) <doi:10.1093/biomet/asaa092> and Barreiro-Ures et al. (2021) <arXiv:2105.04134>.
License: GPL-3
Encoding: UTF-8
Depends: mclust, foreach
Imports: Rcpp (>= 1.0.3), parallel, doParallel, kedd, stats, sm, nor1mix, rgl, rpanel, tkrplot, misc3d
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-07-09 09:26:06 UTC; dbu52
Author: Daniel Barreiro-Ures [aut, cre], Jeffrey Hart [aut], Ricardo Cao [aut], Mario Francisco-Fernandez [aut]
Maintainer: Daniel Barreiro-Ures <daniel.barreiro.ures@udc.es>
Repository: CRAN
Date/Publication: 2021-07-12 07:20:02 UTC

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Package AnnoProbe updated to version 0.1.6 with previous version 0.1.5 dated 2021-07-07

Title: Annotate the Gene Symbols for Probes in Expression Array
Description: We curated 147 of expression array, from 3 species(human,mouse,rat), 3 companies('Affymetrix','Illumina','Agilent'), by aligning the 'Fasta' sequences of all probes of each platform to their corresponding reference genome, and then annotate them to genes.
Author: Jianming Zeng [aut], Yujia Xiang [aut], Yonghe Xia [ctb, cre]
Maintainer: Yonghe Xia <xiayh17@gmail.com>

Diff between AnnoProbe versions 0.1.5 dated 2021-07-07 and 0.1.6 dated 2021-07-12

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Package ALA4R updated to version 1.9.1 with previous version 1.9.0 dated 2020-11-01

Title: Atlas of Living Australia (ALA) Data and Resources in R
Description: The Atlas of Living Australia (ALA) provides tools to enable users of biodiversity information to find, access, combine and visualise data on Australian plants and animals; these have been made available from <https://ala.org.au/>. ALA4R provides a subset of the tools to be directly used within R. It enables the R community to directly access data and resources hosted by the ALA. ALA4R is deprecated and will be removed from CRAN at the end of 2021. The package to replace ALA4R, 'galah', is now available on CRAN <https://CRAN.R-project.org/package=galah>. For an introduction to 'galah', visit the GitHub page <https://github.com/AtlasOfLivingAustralia/galah>.
Author: Martin Westgate [aut, cre], Matilda Stevenson [aut], Peggy Newman [aut], Ben Raymond [aut], Jeremy VanDerWal [aut], Lee Belbin [aut], Michael Sumner [ctb], Tom August [ctb], John Baumgartner [ctb]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

Diff between ALA4R versions 1.9.0 dated 2020-11-01 and 1.9.1 dated 2021-07-12

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New package aftgee with initial version 1.1.6
Package: aftgee
Title: Accelerated Failure Time Model with Generalized Estimating Equations
Version: 1.1.6
Authors@R: c(person("Sy Han", "Chiou", email = "schiou@utdallas.edu", role = c("aut", "cre")), person("Sangwook", "Kang", role = "aut"), person("Jun", "Yan", role = "aut"))
Description: A collection of methods for both the rank-based estimates and least-square estimates to the Accelerated Failure Time (AFT) model. For rank-based estimation, it provides approaches that include the computationally efficient Gehan's weight and the general's weight such as the logrank weight. Details of the rank-based estimation can be found in Chiou et al. (2014) <doi:10.1007/s11222-013-9388-2> and Chiou et al. (2015) <doi:10.1002/sim.6415>. For the least-square estimation, the estimating equation is solved with generalized estimating equations (GEE). Moreover, in multivariate cases, the dependence working correlation structure can be specified in GEE's setting. Details on the least-squares estimation can be found in Chiou et al. (2014) <doi:10.1007/s10985-014-9292-x>.
Depends: R (>= 3.4.0)
License: GPL (>= 3)
URL: https://github.com/stc04003/aftgee
BugReports: https://github.com/stc04003/aftgee/issues
Encoding: UTF-8
LazyLoad: yes
Imports: methods, parallel, geepack, survival, BB, MASS
NeedsCompilation: yes
Packaged: 2021-07-11 23:13:04 UTC; schiou
Author: Sy Han Chiou [aut, cre], Sangwook Kang [aut], Jun Yan [aut]
Maintainer: Sy Han Chiou <schiou@utdallas.edu>
Repository: CRAN
Date/Publication: 2021-07-12 08:00:10 UTC

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Package potools updated to version 0.2.2 with previous version 0.2.0 dated 2021-06-30

Title: Tools for Internationalization and Portability in R Packages
Description: Translating messages in R packages is managed using the po top-level directory and the 'gettext' program. This package provides some helper functions for building this support in R packages, e.g. common validation & I/O tasks.
Author: Michael Chirico
Maintainer: Michael Chirico <MichaelChirico4@gmail.com>

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Package jstable updated to version 1.0.4 with previous version 1.0.3 dated 2021-06-25

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jstable versions 1.0.3 dated 2021-06-25 and 1.0.4 dated 2021-07-12

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Package RstoxData (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:

2021-06-24 1.2.0
2021-05-13 1.1.8
2021-03-05 1.1.1
2021-01-24 1.0.24
2021-01-13 1.0.23
2020-11-23 1.0.17
2020-11-18 1.0.16

Permanent link
Package cmcR (with last version 0.1.6) was removed from CRAN

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

2021-04-05 0.1.6

Permanent link
Package x3ptools (with last version 0.0.2) was removed from CRAN

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

2021-06-28 0.0.2

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Package secr updated to version 4.4.5 with previous version 4.4.4 dated 2021-06-01

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] (<https://orcid.org/0000-0001-5231-5184>)
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package bayesian updated to version 0.0.6 with previous version 0.0.5 dated 2021-05-31

Title: Bindings for Bayesian TidyModels
Description: Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' <doi:10.5281/zenodo.5091194>. 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>). The technical details of 'brms' and 'Stan' are described in Bürkner (2017) <doi:10.18637/jss.v080.i01>, Bürkner (2018) <doi:10.32614/RJ-2018-017>, and Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>), Paul-Christian Bürkner [aut]
Maintainer: Hamada S. Badr <badr@jhu.edu>

Diff between bayesian versions 0.0.5 dated 2021-05-31 and 0.0.6 dated 2021-07-12

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Package additive updated to version 0.0.2 with previous version 0.0.1 dated 2021-06-01

Title: Bindings for Generalized Additive Models (GAM)
Description: Fit Generalized Additive Models (GAM) using 'mgcv' with 'parsnip'/'tidymodels' via 'additive' <doi:10.5281/zenodo.5091179>. 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>). The technical details of 'mgcv' are described in Wood (2017) <doi:10.1201/9781315370279>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>)
Maintainer: Hamada S. Badr <badr@jhu.edu>

Diff between additive versions 0.0.1 dated 2021-06-01 and 0.0.2 dated 2021-07-12

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