Wed, 08 Jul 2020

Package statebins updated to version 1.4.0 with previous version 1.2.2 dated 2015-12-21

Title: Create United States Uniform Cartogram Heatmaps
Description: The 'cartogram' heatmaps generated by the included methods are an alternative to choropleth maps for the United States and are based on work by the Washington Post graphics department in their report on "The states most threatened by trade" (<http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/>). "State bins" preserve as much of the geographic placement of the states as possible but have the look and feel of a traditional heatmap. Functions are provided that allow for use of a binned, discrete scale, a continuous scale or manually specified colors depending on what is needed for the underlying data.
Author: Bob Rudis [aut, cre] (<https://orcid.org/0000-0001-5670-2640>), Harold Gil [ctb] (fix for show.guide), Brian Adams [ctb] (theme testing & feedback), Thomas Wood [ctb] (Significant suggestions & testing that made new features possible), Mathew Kiang [ctb] (Minor fix for NA handling)
Maintainer: Bob Rudis <bob@rud.is>

Diff between statebins versions 1.2.2 dated 2015-12-21 and 1.4.0 dated 2020-07-08

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Package fishflux updated to version 0.0.1.1 with previous version 0.0.1 dated 2020-07-03

Title: Model Elemental Fluxes in Fishes
Description: Model fluxes of carbon, nitrogen, and phosphorus with the use of a coupled bioenergetics and stoichiometric model that incorporates flexible elemental limitation. Additional functions to help the user to find parameters are included. Finally, functions to extract and visualize results are available as well. For an introduction, see vignette. For more information on the theoretical background of this model, see Schiettekatte et al. (2020) <doi:10.1111/1365-2435.13618>.
Author: Nina M. D. Schiettekatte [aut, cre], Diego Barneche [aut]
Maintainer: Nina M. D. Schiettekatte <nina.schiettekatte@gmail.com>

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Package emld updated to version 0.5.0 with previous version 0.4.0 dated 2020-02-05

Title: Ecological Metadata as Linked Data
Description: This is a utility for transforming Ecological Metadata Language ('EML') files into 'JSON-LD' and back into 'EML.' Doing so creates a list-based representation of 'EML' in R, so that 'EML' data can easily be manipulated using standard 'R' tools. This makes this package an effective backend for other 'R'-based tools working with 'EML.' By abstracting away the complexity of 'XML' Schema, developers can build around native 'R' list objects and not have to worry about satisfying many of the additional constraints of set by the schema (such as element ordering, which is handled automatically). Additionally, the 'JSON-LD' representation enables the use of developer-friendly 'JSON' parsing and serialization that may facilitate the use of 'EML' in contexts outside of 'R,' as well as the informatics-friendly serializations such as 'RDF' and 'SPARQL' queries.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Matthew B. Jones [aut, cph] (<https://orcid.org/0000-0003-0077-4738>), Bryce Mecum [aut, cph] (<https://orcid.org/0000-0002-0381-3766>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between emld versions 0.4.0 dated 2020-02-05 and 0.5.0 dated 2020-07-08

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Package corHMM updated to version 2.2 with previous version 2.1 dated 2020-07-07

Title: Hidden Markov Models of Character Evolution
Description: Fits hidden Markov models of discrete character evolution which allow different transition rate classes on different portions of a phylogeny. Beaulieu et al (2013) <doi:10.1093/sysbio/syt034>.
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Jeffrey Oliver [aut], James Boyko [aut]
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>

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Package textrecipes updated to version 0.3.0 with previous version 0.2.3 dated 2020-05-22

Title: Extra 'Recipes' for Text Processing
Description: Converting text to numerical features requires specifically created procedures, which are implemented as steps according to the 'recipes' package. These steps allows for tokenization, filtering, counting (tf and tfidf) and feature hashing.
Author: Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>)
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package IsoplotR updated to version 3.4 with previous version 3.3 dated 2020-03-19

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington' and 'Ludwig' approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as 230Th-U evolution plots.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between IsoplotR versions 3.3 dated 2020-03-19 and 3.4 dated 2020-07-08

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Package Qtools updated to version 1.5.2 with previous version 1.5.1 dated 2019-12-13

Title: Utilities for Quantiles
Description: Functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, restricted quantile regression, and directional quantile classification. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.
Author: Marco Geraci [aut, cph, cre] (<https://orcid.org/0000-0002-6311-8685>), Alessio Farcomeni [ctb] (Contributions to midrq code, <https://orcid.org/0000-0002-7104-5826>)
Maintainer: Marco Geraci <geraci@mailbox.sc.edu>

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Package mexhaz updated to version 1.8 with previous version 1.7 dated 2019-12-10

Title: Mixed Effect Excess Hazard Models
Description: Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a random effect at the cluster level (corresponding to a shared frailty).
Author: Hadrien Charvat, Aurelien Belot
Maintainer: Hadrien Charvat <chadrien@ncc.go.jp>

Diff between mexhaz versions 1.7 dated 2019-12-10 and 1.8 dated 2020-07-08

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Package RcppCWB updated to version 0.3.0 with previous version 0.2.9 dated 2020-06-25

Title: 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Description: 'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (<http://cwb.sourceforge.net>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (<https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre' (BSD license, see <http://www.pcre.org/licence.txt>) and 'GLib' (LGPL license, see <https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see <https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.
Author: Andreas Blaette [aut, cre], Bernard Desgraupes [aut], Sylvain Loiseau [aut], Oliver Christ [ctb], Bruno Maximilian Schulze [ctb], Stefan Evert [ctb], Arne Fitschen [ctb], Jeroen Ooms [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Package tune updated to version 0.1.1 with previous version 0.1.0 dated 2020-04-02

Title: Tidy Tuning Tools
Description: The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between tune versions 0.1.0 dated 2020-04-02 and 0.1.1 dated 2020-07-08

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Package dials updated to version 0.0.8 with previous version 0.0.7 dated 2020-06-10

Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between dials versions 0.0.7 dated 2020-06-10 and 0.0.8 dated 2020-07-08

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Package bbsBayes updated to version 2.3.3.2020 with previous version 2.3.2.2020 dated 2020-06-27

Title: Hierarchical Bayesian Analysis of North American BBS Data
Description: The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of the breeding birds in North America. Since its start in 1966, the BBS has accumulated over 50 years of data for over 500 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform hierarchical Bayesian analysis of BBS data. You can run a full model analysis for one or more species that you choose, or you can take more control and specify how the data should be stratified, prepared for 'JAGS', or modelled. The functions provided here allow you to replicate analyses performed by the United State Geological Survey (USGS, see Link and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).
Author: Brandon P.M. Edwards [aut, cre], Adam C. Smith [aut]
Maintainer: Brandon P.M. Edwards <edwardsb@uoguelph.ca>

Diff between bbsBayes versions 2.3.2.2020 dated 2020-06-27 and 2.3.3.2020 dated 2020-07-08

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Package seismicRoll updated to version 1.1.4 with previous version 1.1.3 dated 2018-12-04

Title: Fast Rolling Functions for Seismology using 'Rcpp'
Description: Fast versions of seismic analysis functions that 'roll' over a vector of values. See the 'RcppRoll' package for alternative versions of basic statistical functions such as rolling mean, median, etc.
Author: Jonathan Callahan [aut], Rob Casey [aut], Mary Templeton [aut], Gillian Sharer [aut, cre]
Maintainer: Gillian Sharer <gillian@iris.washington.edu>

Diff between seismicRoll versions 1.1.3 dated 2018-12-04 and 1.1.4 dated 2020-07-08

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Package AQuadtree updated to version 1.0.1 with previous version 1.0.0 dated 2020-03-13

Title: Confidentiality of Spatial Point Data
Description: Provides an automatic aggregation tool to manage point data privacy, intended to be helpful for the production of official spatial data and for researchers. The package pursues the data accuracy at the smallest possible areas preventing individual information disclosure. The methodology, based on hierarchical geographic data structures performs aggregation and local suppression of point data to ensure privacy as described in Lagonigro, R., Oller, R., Martori J.C. (2017) <doi:10.2436/20.8080.02.55>. The data structures are created following the guidelines for grid datasets from the European Forum for Geography and Statistics.
Author: Raymond Lagonigro [aut, cre] (<https://orcid.org/0000-0002-8091-4296>), Ramon Oller [aut] (<https://orcid.org/0000-0002-4333-0021>), Joan Carles Martori [aut] (<https://orcid.org/0000-0002-8400-5487>)
Maintainer: Raymond Lagonigro <raymond.lagonigro@uvic.cat>

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Package rstan updated to version 2.21.1 with previous version 2.19.3 dated 2020-02-11

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Sebastian Weber [aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Modrak Martin [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] (R/cxxfunplus.R), The R Core Team [cph] (R/pairs.R, R/dynGet.R), Jens Oehlschlaegel-Akiyoshi [cph] (R/pairs.R), John Maddock [cph] (gamma.hpp), Paul Bristow [cph] (gamma.hpp), Nikhar Agrawal [cph] (gamma.hpp), Christopher Kormanyos [cph] (gamma.hpp)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

Diff between rstan versions 2.19.3 dated 2020-02-11 and 2.21.1 dated 2020-07-08

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Package landscapemetrics updated to version 1.4.5 with previous version 1.4.4 dated 2020-05-15

Title: Landscape Metrics for Categorical Map Patterns
Description: Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.umass.edu/landeco/research/fragstats/fragstats.html>) and new ones from the current literature on landscape metrics. This package supports 'raster' spatial objects and takes RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the 'raster' package as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.
Author: Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Sebastian Hanss [aut] (<https://orcid.org/0000-0002-3990-4897>), Laura J. Graham [ctb] (Input on package structure), Jeffrey Hollister [ctb] (Input on package structure), Kimberly A. With [ctb] (Input on package structure), Florian Privé [ctb] (Original author of underlying C++ code for get_nearestneighbour() function), Project Nayuki [ctb] (Original author of underlying C++ code for get_circumscribingcircle and lsm_p_circle), Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Maintainer: Maximillian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

Diff between landscapemetrics versions 1.4.4 dated 2020-05-15 and 1.4.5 dated 2020-07-08

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More information about landscapemetrics at CRAN
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Package googleVis updated to version 0.6.6 with previous version 0.6.5 dated 2020-06-08

Title: R Interface to Google Charts
Description: R interface to Google's chart tools, allowing users to create interactive charts based on data frames. Charts are displayed locally via the R HTTP help server. A modern browser with an Internet connection is required and for some charts a Flash player. The data remains local and is not uploaded to Google.
Author: Markus Gesmann [aut, cre], Diego de Castillo [aut], Joe Cheng [ctb], Ashley Baldry [ctb]
Maintainer: Markus Gesmann <markus.gesmann@googlemail.com>

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Package WaterML updated to version 1.9.5 with previous version 1.9.0 dated 2020-02-12

Title: Fetch and Analyze Data from 'WaterML' and 'WaterOneFlow' Web Services
Description: Lets you connect to any of the 'Consortium of Universities for the Advancement of Hydrological Science, Inc.' ('CUAHSI') Water Data Center 'WaterOneFlow' web services and read any 'WaterML' time series data file. To see list of available web services, see <http://hiscentral.cuahsi.org>. All versions of 'WaterML' (1.0, 1.1 and 2.0) and both types of the web service protocol ('SOAP' and 'REST') are supported. The package has six data download functions: GetServices(): show all public web services from the HIS Central Catalog. HISCentral_GetSites() and HISCentral_GetSeriesCatalog(): search for sites or time series from the HIS Central catalog based on geographic bounding box, server, or keyword. GetVariables(): Show a data.frame with all variables on the server. GetSites(): Show a data.frame with all sites on the server. GetSiteInfo(): Show what variables, methods and quality control levels are available at the specific site. GetValues(): Given a site code, variable code, start time and end time, fetch a data.frame of all the observation time series data values. The GetValues() function can also parse 'WaterML' data from a custom URL or from a local file. The package also has five data upload functions: AddSites(), AddVariables(), AddMethods(), AddSources(), and AddValues(). These functions can be used for uploading data to a 'HydroServer Lite' Observations Data Model ('ODM') database via the 'JSON' data upload web service interface.
Author: Jiri Kadlec [aut, cre]
Maintainer: Jiri Kadlec <jirikadlec2@gmail.com>

Diff between WaterML versions 1.9.0 dated 2020-02-12 and 1.9.5 dated 2020-07-08

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New package rbscCI with initial version 0.1.0
Package: rbscCI
Type: Package
Title: Blyth-Still-Casella Confidence Interval
Version: 0.1.0
Date: 2020-07-05
Authors@R: c(person("Shimeng", "Huang", role = c("aut", "cre"), email = "dora.huang.sunshine@gmail.com"), person("Keith", "Winstein", role = "aut", email = "keithw@cs.stanford.edu"))
Description: Provides a fast calculation of the Blyth-Still-Casella confidence interval. The implementation follows the 'StatXact' 9 manual (Cytel 2010) and "Refining Binomial Confidence Intervals" by George Casella (1986) <doi:10.2307/3314658>.
License: GPL (>= 3)
Imports: Rcpp
LinkingTo: Rcpp, BH
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2020-07-08 11:43:44 UTC; shimenghuang
Author: Shimeng Huang [aut, cre], Keith Winstein [aut]
Maintainer: Shimeng Huang <dora.huang.sunshine@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-08 13:00:02 UTC

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New package doebioresearch with initial version 0.1.0
Package: doebioresearch
Type: Package
Title: Analysis of Design of Experiments for Biological Research
Version: 0.1.0
Authors@R: c(person("Raj", "Popat", email = "popatrajc@gmail.com", role = c("aut", "cre")), person("Kanthesh", "Banakara", email = "kantheshbanakara@gmail.com ", role = "aut"))
Description: Performs analysis of popular experimental designs used in the field of biological research. The designs covered are completely randomized design, randomized complete block design, factorial completely randomized design, factorial randomized complete block design, split plot design, strip plot design and latin square design. The analysis include analysis of variance, coefficient of determination, normality test of residuals, standard error of mean, standard error of difference and multiple comparison test of means. The package has functions for transformation of data and yield data conversion. Some datasets are also added in order to facilitate examples.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: agricolae (>= 1.3.3), stats (>= 4.0.2)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-07-08 11:19:58 UTC; Asus
Author: Raj Popat [aut, cre], Kanthesh Banakara [aut]
Maintainer: Raj Popat <popatrajc@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-08 12:20:03 UTC

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Package stars updated to version 0.4-3 with previous version 0.4-2 dated 2020-07-01

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Michael Sumner [ctb] (<https://orcid.org/0000-0002-2471-7511>), Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between stars versions 0.4-2 dated 2020-07-01 and 0.4-3 dated 2020-07-08

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Package ForestFit updated to version 0.6.1 with previous version 0.6.0 dated 2020-06-27

Title: Statistical Modelling for Plant Size Distributions
Description: Developed for the following tasks. 1 ) Computing the probability density function, cumulative distribution function, random generation, and estimating the parameters of the eleven mixture models. 2 ) Point estimation of the parameters of two - parameter Weibull distribution using twelve methods and three - parameter Weibull distribution using nine methods. 3 ) The Bayesian inference for the three - parameter Weibull distribution. 4 ) Estimating parameters of the three - parameter Birnbaum - Saunders, generalized exponential, and Weibull distributions fitted to grouped data using three methods including approximated maximum likelihood, expectation maximization, and maximum likelihood. 5 ) Estimating the parameters of the gamma, log-normal, and Weibull mixture models fitted to the grouped data through the EM algorithm, 6 ) Estimating parameters of the nonlinear height curve fitted to the height - diameter observation, 7 ) Estimating parameters, computing probability density function, cumulative distribution function, and generating realizations from gamma shape mixture model introduced by Venturini et al. (2008) <doi:10.1214/07-AOAS156> , 8 ) The Bayesian inference, computing probability density function, cumulative distribution function, and generating realizations from four - parameter Johnson SB distribution, and 9 ) Robust multiple linear regression analysis when error term follows skewed t distribution.
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>

Diff between ForestFit versions 0.6.0 dated 2020-06-27 and 0.6.1 dated 2020-07-08

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Package pspline.inference updated to version 0.24 with previous version 0.23 dated 2020-07-01

Title: Estimation of Characteristics of Seasonal and Sporadic Infectious Disease Outbreaks Using Generalized Additive Modeling with Penalized Basis Splines
Description: Stochastic inference of infectious disease outcomes using generalized additive (mixed) models.
Author: Ben Artin [aut, cre, cph]
Maintainer: Ben Artin <ben@artins.org>

Diff between pspline.inference versions 0.23 dated 2020-07-01 and 0.24 dated 2020-07-08

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New package StrathE2E2 with initial version 3.1.0
Package: StrathE2E2
Version: 3.1.0
Title: End-to-End Marine Food Web Model
Author: Michael Heath [aut], Ian Thurlbeck [ctb]
Maintainer: Michael Heath <m.heath@strath.ac.uk>
Depends: R (>= 3.6.0),
Imports: deSolve, methods, NetIndices
Description: A dynamic model of the big-picture, whole ecosystem effects of hydrodynamics, temperature, nutrients, and fishing on continental shelf marine food webs. The package has been developed from a prototype described in: Heath, M.R. (2012) <doi:10.1016/j.pocean.2012.03.004> Ecosystem limits to food web fluxes and fisheries yields in the North Sea simulated with an end-to-end food web model. Progress in Oceanography (Special issue: End-to-end modelling: Towards Comparative Analysis of Marine Ecosystem Organisation) 102, 42-66.
License: GPL (>= 2)
LazyData: yes
NeedsCompilation: yes
Date: 2020-06-11
URL: https://gitlab.com/MarineResourceModelling/StrathE2E/StrathE2E2, https://marineresourcemodelling.gitlab.io/
Suggests: knitr, StrathE2E2examples, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.1
Additional_repositories: https://marineresourcemodelling.gitlab.io/sran
Packaged: 2020-07-07 21:57:14 UTC; ais04103
Repository: CRAN
Date/Publication: 2020-07-08 09:40:02 UTC

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Package IsoSpecR updated to version 2.1.1 with previous version 2.1.0 dated 2020-05-27

Title: The IsoSpec Algorithm
Description: IsoSpec is a fine structure calculator used for obtaining the most probable masses of a chemical compound given the frequencies of the composing isotopes and their masses. It finds the smallest set of isotopologues with a given probability. The probability is assumed to be that of the product of multinomial distributions, each corresponding to one particular element and parametrized by the frequencies of finding these elements in nature. These numbers are supplied by IUPAC - the International Union of Pure and Applied Chemistry.
Author: Mateusz Krzysztof Lacki and Michal Startek
Maintainer: Matteo Lacki <matteo.lacki@gmail.com>

Diff between IsoSpecR versions 2.1.0 dated 2020-05-27 and 2.1.1 dated 2020-07-08

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New package BrasilMF with initial version 1.0.0
Package: BrasilMF
Title: Best Brazilian Financial Market Package
Description: Focuses on unifying the main data of the Brazilian financial market in one package this will help the user to make the best investment decisions, for more information <https://brasilmf.herokuapp.com>.
Version: 1.0.0
Authors@R: c(person(given = "Davi", family = "Rufino", role = c("aut", "cre"), email = "davirufino@gmail.com"), person(given = "Bernardo", family = "Volker", role = "aut"), person(given = "BrasilMF", role = c("cph", "fnd")))
Maintainer: Davi Rufino <davirufino@gmail.com>
License: MIT + file LICENSE
URL: https://github.com/SrMercado/BrasilMF
BugReports: https://github.com/SrMercado/BrasilMF/issues
Depends: R (>= 3.6.0)
Imports: bizdays, dplyr, rvest, RCurl, xml2
Suggests: ipeadatar, highcharter
Encoding: UTF-8
LazyData: yes
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-07 12:27:23 UTC; davir
Author: Davi Rufino [aut, cre], Bernardo Volker [aut], BrasilMF [cph, fnd]
Repository: CRAN
Date/Publication: 2020-07-08 09:30:02 UTC

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New package UnifiedDoseFinding with initial version 0.1.7
Package: UnifiedDoseFinding
Type: Package
Title: Dose-Finding Methods for Non-Binary Outcomes
Version: 0.1.7
Author: Chia-Wei Hsu, Haitao Pan, Rongji Mu
Maintainer: Chia-Wei Hsu <Chia-Wei.Hsu@stjude.org>
Description: In many phase I trials, the design goal is to find the dose associated with a certain target toxicity rate. In some trials, the goal can be to find the dose with a certain weighted sum of rates of various toxicity grades. For others, the goal is to find the dose with a certain mean value of a continuous response. This package provides the setup and calculations needed to run a dose-finding trial with non-binary endpoints and performs simulations to assess design’s operating characteristics under various scenarios. Three dose finding designs are included in this package: unified phase I design (Ivanova et al. (2009) <doi:10.1111/j.1541-0420.2008.01045.x>), Quasi-CRM/Robust-Quasi-CRM (Yuan et al. (2007) <doi:10.1111/j.1541-0420.2006.00666.x>, Pan et al. (2014) <doi:10.1371/journal.pone.0098147>) and generalized BOIN design (Mu et al. (2018) <doi:10.1111/rssc.12263>). The toxicity endpoints can be handled with these functions including equivalent toxicity score (ETS), total toxicity burden (TTB), general continuous toxicity endpoints, with incorporating ordinal grade toxicity information into dose-finding procedure. These functions allow customization of design characteristics to vary sample size, cohort sizes, target dose-limiting toxicity (DLT) rates, discrete or continuous toxicity score, and incorporate safety and/or stopping rules.
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-07-07 18:48:28 UTC; chsu1
Repository: CRAN
Date/Publication: 2020-07-08 08:30:13 UTC

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New package timedeppar with initial version 1.0
Package: timedeppar
Type: Package
Title: Infer Constant and Stochastic, Time-Dependent Model Parameters
Version: 1.0
Date: 2020-07-07
Author: Peter Reichert <peter.reichert@eawag.ch>
Maintainer: Peter Reichert <peter.reichert@eawag.ch>
Description: Infer constant and stochastic, time-dependent parameters to consider intrinsic stochasticity of a dynamic model and/or to analyze model structure modifications that could reduce model deficits. The concept is based on inferring time-dependent parameters as stochastic processes in the form of Ornstein-Uhlenbeck processes jointly with inferring constant model parameters and parameters of the Ornstein-Uhlenbeck processes. The package also contains functions to sample from and calculate densities of Ornstein-Uhlenbeck processes. References: Tomassini, L., Reichert, P., Kuensch, H.-R. Buser, C., Knutti, R. and Borsuk, M.E. (2009) "A smoothing algorithm for estimating stochastic, continuous-time model parameters and its application to a simple climate model." Journal of the Royal Statistical Society: Series C (Applied Statistics) 58, 679-704, <doi:10.1111/j.1467-9876.2009.00678.x>; Reichert, P., and Mieleitner, J. (2009) "Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters." Water Resources Research, 45, W10402, <doi:10.1029/2009WR007814>; Reichert, P., Ammann, L. and Fenicia, F. (2020) "Potential and challenges of investigating intrinsic uncertainty of hydrological models with stochastic, time-dependent parameters", in preparation; Reichert, P. (2020) "timedeppar: An R package for inferring stochastic, time-dependent model parameters", in preparation.
License: GPL-3
Depends: mvtnorm
URL: https://gitlab.com/p.reichert/timedeppar
BugReports: https://gitlab.com/p.reichert/timedeppar/issues
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-07 19:23:30 UTC; reichert
Repository: CRAN
Date/Publication: 2020-07-08 08:40:02 UTC

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New package supreme with initial version 1.1.0
Package: supreme
Title: Modeling Tool for 'Shiny' Applications Developed with Modules
Version: 1.1.0
Authors@R: person("Metin", "Yazici", email = "stradivariusboul+r@gmail.com", role = c("aut", "cre", "cph"))
Description: A modeling tool helping users better structure 'Shiny' applications developed with 'Shiny' modules. Users are able to: 1. Visualize relationship of modules in existing applications 2. Design new applications from scratch.
License: MIT + file LICENSE
URL: https://strboul.github.io/supreme/
BugReports: https://github.com/strboul/supreme/issues
Depends: R (>= 3.6.0)
Imports: stats, utils, yaml (>= 2.2.0), nomnoml, shiny (>= 1.5.0)
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, digest (>= 0.6.23)
Language: en-US
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-07-07 18:14:06 UTC; metin
Author: Metin Yazici [aut, cre, cph]
Maintainer: Metin Yazici <stradivariusboul+r@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-08 08:30:02 UTC

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Package stringfish updated to version 0.13.2 with previous version 0.12.1 dated 2020-06-05

Title: Alt String Implementation
Description: Provides an extendable and performant 'alt-string' implementation backed by 'C++' vectors and strings.
Author: Travers Ching [aut, cre, cph], Phillip Hazel [ctb] (Bundled PCRE2 code), Zoltan Herczeg [ctb, cph] (Bundled PCRE2 code), University of Cambridge [cph] (Bundled PCRE2 code), Tilera Corporation [cph] (Stack-less Just-In-Time compiler bundled with PCRE2), Yann Collet [ctb, cph] (Yann Collet is the author of the bundled xxHash code)
Maintainer: Travers Ching <traversc@gmail.com>

Diff between stringfish versions 0.12.1 dated 2020-06-05 and 0.13.2 dated 2020-07-08

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New package npregderiv with initial version 1.0
Package: npregderiv
Title: Nonparametric Estimation of the Derivatives of a Regression Function
Version: 1.0
Authors@R: c(person("Olga", "Savchuk", role = c("aut", "cre"), email = "olga.y.savchuk@gmail.com"), person("Alex", "Volinsky", role = "aut", email = "volinsky@usf.edu"))
Depends: R (>= 3.1.0)
Description: Estimating the first and second derivatives of a regression function by the method of Wang and Lin (2015) <http://www.jmlr.org/papers/v16/wang15b.html>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-07 18:29:11 UTC; olgay
Author: Olga Savchuk [aut, cre], Alex Volinsky [aut]
Maintainer: Olga Savchuk <olga.y.savchuk@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-08 08:30:10 UTC

More information about npregderiv at CRAN
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New package libgeos with initial version 3.8.1-0
Package: libgeos
Title: Open Source Geometry Engine ('GEOS') C API
Version: 3.8.1-0
Authors@R: c( person(given = "Dewey", family = "Dunnington", role = c("aut", "cre"), email = "dewey@fishandwhistle.net", comment = c(ORCID = "0000-0002-9415-4582")), person("GEOS authors", role = "aut"), person("Martin", "Davis", role = c("ctb", "cph")), person("Benjamin", "Campbell", role = c("ctb", "cph")), person("Tomasz", "Sowa", role = c("ctb", "cph")), person("Christian", "Kaiser", role = c("ctb", "cph")), person("David", "Skea", role = c("ctb", "cph")), person("Daniel", "Baston", role = c("ctb", "cph")), person("Sandro", "Santilli", role = c("ctb", "cph")), person("Mateusz", "Loskot", role = c("ctb", "cph")), person("Paul", "Ramsey", role = c("ctb", "cph")), person("Olivier", "Devillers", role = c("ctb", "cph")), person("Sean", "Gillies", role = c("ctb", "cph")), person("Mika", "Heiskanen", role = c("ctb", "cph")), person("Safe Software Inc.", role = "cph"), person("Refractions Research Inc.", role = "cph"), person("Vivid Solutions Inc.", role = "cph") )
Description: Provides the Open Source Geometry Engine ('GEOS') as a C API that can be used to write high-performance C and C++ geometry operations using R as an interface. Headers are provided to make linking to and using these functions from C++ code as easy and as safe as possible.
License: LGPL (>= 2.1)
Copyright: file COPYRIGHTS
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://paleolimbot.github.io/libgeos, https://github.com/paleolimbot/libgeos
BugReports: https://github.com/paleolimbot/libgeos/issues
Suggests: Rcpp, testthat
NeedsCompilation: yes
Packaged: 2020-07-07 19:34:56 UTC; dewey
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>), GEOS authors [aut], Martin Davis [ctb, cph], Benjamin Campbell [ctb, cph], Tomasz Sowa [ctb, cph], Christian Kaiser [ctb, cph], David Skea [ctb, cph], Daniel Baston [ctb, cph], Sandro Santilli [ctb, cph], Mateusz Loskot [ctb, cph], Paul Ramsey [ctb, cph], Olivier Devillers [ctb, cph], Sean Gillies [ctb, cph], Mika Heiskanen [ctb, cph], Safe Software Inc. [cph], Refractions Research Inc. [cph], Vivid Solutions Inc. [cph]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>
Repository: CRAN
Date/Publication: 2020-07-08 08:40:05 UTC

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New package ARCokrig with initial version 0.1.1
Package: ARCokrig
Type: Package
Title: Autoregressive Cokriging Models for Multifidelity Codes
Version: 0.1.1
Date: 2020-07-03
Authors@R: c(person("Pulong", "Ma", role=c("aut", "cre"), email="mpulong@gmail.com"))
Maintainer: Pulong Ma <mpulong@gmail.com>
Description: For emulating multifidelity computer models. The major methods include univariate autoregressive cokriging and multivariate autoregressive cokriging. The autoregressive cokriging methods are implemented for both hierarchically nested design and non-nested design. For hierarchically nested design, the model parameters are estimated via standard optimization algorithms; For non-nested design, the model parameters are estimated via Monte Carlo expectation-maximization (MCEM) algorithms. In both cases, the priors are chosen such that the posterior distributions are proper. Notice that the uniform priors on range parameters in the correlation function lead to improper posteriors. This should be avoided when Bayesian analysis is adopted. The development of objective priors for autoregressive cokriging models can be found in Pulong Ma (2019) <arXiv:1910.10225>. The development of the multivariate autoregressive cokriging models with possibly non-nested design can be found in Pulong Ma, Georgios Karagiannis, Bledar A Konomi, Taylor G Asher, Gabriel R Toro, and Andrew T Cox (2019) <arXiv:1909.01836>.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/pulongma/ARCokrig/issues
Depends: R (>= 3.5.0)
Imports: Rcpp, mvtnorm (>= 1.0-10), stats, methods, ggplot2
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: testthat
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-07-06 16:59:51 UTC; mapulong
Author: Pulong Ma [aut, cre]
Repository: CRAN
Date/Publication: 2020-07-08 08:30:16 UTC

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Package gganimate updated to version 1.0.6 with previous version 1.0.5 dated 2020-02-09

Title: A Grammar of Animated Graphics
Description: The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way.
Author: Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), David Robinson [aut], RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between gganimate versions 1.0.5 dated 2020-02-09 and 1.0.6 dated 2020-07-08

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Package worrms updated to version 0.4.2 with previous version 0.4.0 dated 2019-06-28

Title: World Register of Marine Species (WoRMS) Client
Description: Client for World Register of Marine Species (<http://www.marinespecies.org/>). Includes functions for each of the API methods, including searching for names by name, date and common names, searching using external identifiers, fetching synonyms, as well as fetching taxonomic children and taxonomic classification.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package universals updated to version 0.0.3 with previous version 0.0.2 dated 2020-06-11

Title: S3 Generics for Bayesian Analyses
Description: Provides S3 generic methods and some default implementations for Bayesian analyses that generate Markov Chain Monte Carlo (MCMC) samples. The purpose of 'universals' is to reduce package dependencies and conflicts. The 'nlist' package implements many of the methods for its 'nlist' class.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Kirill Müller [ctb] (<https://orcid.org/0000-0002-1416-3412>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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More information about universals at CRAN
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Package stplanr updated to version 0.6.2 with previous version 0.6.1 dated 2020-06-23

Title: Sustainable Transport Planning
Description: Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. Enables common transport planning tasks including: downloading and cleaning transport datasets; creating geographic "desire lines" from origin-destination (OD) data; route assignment, locally and via interfaces to routing services such as <http://cyclestreets.net/>; calculation of route segment attributes such as bearing and aggregate flow; and 'travel watershed' analysis. See Lovelace and Ellison (2018) <doi:10.32614/RJ-2018-053>.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Richard Ellison [aut], Malcolm Morgan [aut] (<https://orcid.org/0000-0002-9488-9183>), Barry Rowlingson [ctb] (Author of overline), Nick Bearman [ctb] (Co-author of gclip), Nikolai Berkoff [ctb] (Co-author of line2route), Scott Chamberlain [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10), Mark Padgham [ctb], Andrea Gilardi [ctb] (<https://orcid.org/0000-0002-9424-7439>)
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package rnoaa updated to version 1.1.0 with previous version 1.0.0 dated 2020-06-13

Title: 'NOAA' Weather Data from R
Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Brooke Anderson [ctb], Maëlle Salmon [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Alex Simmons [ctb], Karthik Ram [ctb], Hart Edmund [ctb], rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package reda updated to version 0.5.2 with previous version 0.5.1 dated 2020-06-27

Title: Recurrent Event Data Analysis
Description: Contains implementations of recurrent event data analysis routines including (1) survival and recurrent event data simulation from stochastic process point of view by the thinning method proposed by Lewis and Shedler (1979) <doi:10.1002/nav.3800260304> and the inversion method introduced in Cinlar (1975, ISBN:978-0486497976), (2) the mean cumulative function (MCF) estimation by the Nelson-Aalen estimator of the cumulative hazard rate function, (3) two-sample recurrent event responses comparison with the pseudo-score tests proposed by Lawless and Nadeau (1995) <doi:10.2307/1269617>, (4) gamma frailty model with spline rate function following Fu, et al. (2016) <doi:10.1080/10543406.2014.992524>.
Author: Wenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Haoda Fu [aut], Jun Yan [ctb] (<https://orcid.org/0000-0003-4401-7296>)
Maintainer: Wenjie Wang <wenjie.2.wang@uconn.edu>

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Package proftools updated to version 0.99-3 with previous version 0.99-2 dated 2016-01-13

Title: Profile Output Processing Tools for R
Description: Tools for examining Rprof profile output.
Author: Luke Tierney and Riad Jarjour
Maintainer: Luke Tierney <luke-tierney@uiowa.edu>

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Package memisc updated to version 0.99.25.6 with previous version 0.99.25.5 dated 2020-06-30

Title: Management of Survey Data and Presentation of Analysis Results
Description: An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>

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Package lfe updated to version 2.8-5.1 with previous version 2.8-5 dated 2019-12-17

Title: Linear Group Fixed Effects
Description: Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors with many levels as pure control variables. Includes support for instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors, as well as limited mobility bias correction.
Author: Simen Gaure [aut, cre] (<https://orcid.org/0000-0001-7251-8747>), Grant McDermott [ctb], Karl Dunkle Werner [ctb], Matthieu Stigler [ctb], Daniel Lüdecke [ctb]
Maintainer: Simen Gaure <Simen.Gaure@frisch.uio.no>

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Package doBy updated to version 4.6.7 with previous version 4.6.6 dated 2020-05-16

Title: Groupwise Statistics, LSmeans, Linear Contrasts, Utilities
Description: Contains: 1) Facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear contrasts. 3) Miscellaneous other utilities.
Author: Søren Højsgaard <sorenh@math.aau.dk> and Ulrich Halekoh <uhalekoh@health.sdu.dk>
Maintainer: Søren Højsgaard <sorenh@math.aau.dk>

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Package BEDMatrix updated to version 2.0.3 with previous version 2.0.2 dated 2020-03-11

Title: Extract Genotypes from a PLINK .bed File
Description: A matrix-like data structure that allows for efficient, convenient, and scalable subsetting of binary genotype/phenotype files generated by PLINK (<https://www.cog-genomics.org/plink2>), the whole genome association analysis toolset, without loading the entire file into memory.
Author: Alexander Grueneberg [aut, cre], Gustavo de los Campos [ctb]
Maintainer: Alexander Grueneberg <cran@agrueneberg.info>

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Package skewlmm updated to version 0.2.2 with previous version 0.2.1 dated 2020-07-06

Title: Scale Mixture of Skew-Normal Linear Mixed Models
Description: It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) type algorithm, including some possibilities for modeling the within-subject dependence. Details can be found in Schumacher, Lachos and Matos (2020) <arXiv:2002.01040>.
Author: Fernanda L. Schumacher [aut, cre], Larissa A. Matos [aut], Victor H. Lachos [aut]
Maintainer: Fernanda L. Schumacher <fernandalschumacher@gmail.com>

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Package emba updated to version 0.1.6 with previous version 0.1.5 dated 2020-07-01

Title: Ensemble Boolean Model Biomarker Analysis
Description: Analysis and visualization of an ensemble of boolean models for biomarker discovery in cancer cell networks. The package allows to easily load the simulation data results of the DrugLogics software pipeline which predicts synergistic drug combinations in cancer cell lines (developed by the DrugLogics research group in NTNU). It has generic functions that can be used to split a boolean model dataset to model groups with regards to the models predictive performance (number of true positive predictions/Matthews correlation coefficient score) or synergy prediction based on a given set of gold standard synergies and find the average activity difference per network node between all model group pairs. Thus, given user-specific thresholds, important nodes (biomarkers) can be accessed in the sense that they make the models predict specific synergies (synergy biomarkers) or have better performance in general (performance biomarkers). Lastly, if the boolean models have a specific equation form and differ only in their link operator, link operator biomarkers can also be found.
Author: John Zobolas [aut, cph, cre] (<https://orcid.org/0000-0002-3609-8674>)
Maintainer: John Zobolas <bblodfon@gmail.com>

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Package causalMGM (with last version 0.1.1) was removed from CRAN

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2017-09-14 0.1.1
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Package miic (with last version 1.0.3) was removed from CRAN

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2020-06-15 0.0.1.1
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Package CorReg (with last version 1.2.17) was removed from CRAN

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