Mon, 10 Aug 2020

Package Hmisc updated to version 4.4-1 with previous version 4.4-0 dated 2020-03-23

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.
Author: Frank E Harrell Jr <fh@fharrell.com>, with contributions from Charles Dupont and many others.
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between Hmisc versions 4.4-0 dated 2020-03-23 and 4.4-1 dated 2020-08-10

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Package wrapr updated to version 2.0.2 with previous version 2.0.0 dated 2020-03-28

Title: Wrap R Tools for Debugging and Parametric Programming
Description: Tools for writing and debugging R code. Provides: '%.>%' dot-pipe (an 'S3' configurable pipe), unpack/to (R style multiple assignment/return), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools::strmacro()' and 'base::bquote()'), and more.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between wrapr versions 2.0.0 dated 2020-03-28 and 2.0.2 dated 2020-08-10

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Package workflows updated to version 0.1.3 with previous version 0.1.2 dated 2020-07-07

Title: Modeling Workflows
Description: Managing both a 'parsnip' model and a preprocessor, such as a model formula or recipe from 'recipes', can often be challenging. The goal of 'workflows' is to streamline this process by bundling the model alongside the preprocessor, all within the same object.
Author: Davis Vaughan [aut, cre], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between workflows versions 0.1.2 dated 2020-07-07 and 0.1.3 dated 2020-08-10

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Permanent link

Package scoper updated to version 1.1.0 with previous version 1.0.1 dated 2020-05-25

Title: Spectral Clustering-Based Method for Identifying B Cell Clones
Description: Provides a computational framework for identification of B cell clones from Adaptive Immune Receptor Repertoire sequencing (AIRR-Seq) data. Three main functions are included (identicalClones, hierarchicalClones, and spectralClones) that perform clustering among sequences of BCRs/IGs (B cell receptors/immunoglobulins) which share the same V gene, J gene and junction length. Nouri N and Kleinstein SH (2018) <doi: 10.1093/bioinformatics/bty235>. Nouri N and Kleinstein SH (2019) <doi: 10.1101/788620>. Gupta NT, et al. (2017) <doi: 10.4049/jimmunol.1601850>.
Author: Nima Nouri [aut], Edel Aron [ctb], Jason Vander Heiden [aut, cre], Steven Kleinstein [aut, cph]
Maintainer: Jason Vander Heiden <jason.vanderheiden@gmail.com>

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Package ggalluvial updated to version 0.12.1 with previous version 0.12.0 dated 2020-07-14

Title: Alluvial Plots in 'ggplot2'
Description: Alluvial plots use variable-width ribbons and stacked bar plots to represent multi-dimensional or repeated-measures data with categorical or ordinal variables; see Riehmann, Hanfler, and Froehlich (2005) <doi:10.1109/INFVIS.2005.1532152> and Rosvall and Bergstrom (2010) <doi:10.1371/journal.pone.0008694>. Alluvial plots are statistical graphics in the sense of Wilkinson (2006) <doi:10.1007/0-387-28695-0>; they share elements with Sankey diagrams and parallel sets plots but are uniquely determined from the data and a small set of parameters. This package extends Wickham's (2010) <doi:10.1198/jcgs.2009.07098> layered grammar of graphics to generate alluvial plots from tidy data.
Author: Jason Cory Brunson [aut, cre]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>

Diff between ggalluvial versions 0.12.0 dated 2020-07-14 and 0.12.1 dated 2020-08-10

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Package ergmito updated to version 0.3-0 with previous version 0.2-1 dated 2020-02-12

Title: Exponential Random Graph Models for Small Networks
Description: Simulation and estimation of Exponential Random Graph Models (ERGMs) for small networks using exact statistics as shown in Vega Yon et al. (2020) <DOI:10.1016/j.socnet.2020.07.005>. As a difference from the 'ergm' package, 'ergmito' circumvents using Markov-Chain Maximum Likelihood Estimator (MC-MLE) and instead uses Maximum Likelihood Estimator (MLE) to fit ERGMs for small networks. As exhaustive enumeration is computationally feasible for small networks, this R package takes advantage of this and provides tools for calculating likelihood functions, and other relevant functions, directly, meaning that in many cases both estimation and simulation of ERGMs for small networks can be faster and more accurate than simulation-based algorithms.
Author: George Vega Yon [cre, aut] (<https://orcid.org/0000-0002-3171-0844>), Kayla de la Haye [ths] (<https://orcid.org/0000-0002-2536-7701>), Army Research Laboratory and the U.S. Army Research Office [fnd] (Grant Number W911NF-15-1-0577)
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package DisImpact updated to version 0.0.10 with previous version 0.0.9 dated 2020-06-01

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

Diff between DisImpact versions 0.0.9 dated 2020-06-01 and 0.0.10 dated 2020-08-10

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Package zip updated to version 2.1.0 with previous version 2.0.4 dated 2019-09-01

Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.
Author: Gábor Csárdi, Kuba Podgórski, Rich Geldreich
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between zip versions 2.0.4 dated 2019-09-01 and 2.1.0 dated 2020-08-10

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Package countfitteR updated to version 1.2 with previous version 1.0 dated 2019-02-03

Title: Comprehensive Automatized Evaluation of Distribution Models for Count Data
Description: A large number of measurements generate count data. This is a statistical data type that only assumes non-negative integer values and is generated by counting. Typically, counting data can be found in biomedical applications, such as the analysis of DNA double-strand breaks. The number of DNA double-strand breaks can be counted in individual cells using various bioanalytical methods. For diagnostic applications, it is relevant to record the distribution of the number data in order to determine their biomedical significance (Roediger, S. et al., 2018. Journal of Laboratory and Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software offers functions for a comprehensive automated evaluation of distribution models of count data. In addition to programmatic interaction, a graphical user interface (web server) is included, which enables fast and interactive data-scientific analyses. The user is supported in selecting the most suitable counting distribution for his own data set.
Author: Jaroslaw Chilimoniuk [cre, ctb] (<https://orcid.org/0000-0001-5467-018X>), Alicja Gosiewska [ctb] (<https://orcid.org/0000-0001-6563-5742>), Jadwiga Słowik [ctb] (<https://orcid.org/0000-0003-3466-8933>), Michal Burdukiewicz [aut] (<https://orcid.org/0000-0001-8926-582X>), Stefan Roediger [ctb] (<https://orcid.org/0000-0002-1441-6512>)
Maintainer: Jaroslaw Chilimoniuk <jaroslaw.chilimoniuk@gmail.com>

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Package clam updated to version 2.3.5 with previous version 2.3.4 dated 2020-03-12

Title: Classical Age-Depth Modelling of Cores from Deposits
Description: Performs 'classical' age-depth modelling of dated sediment deposits - prior to applying more sophisticated techniques such as Bayesian age-depth modelling. Any radiocarbon dated depths are calibrated. Age-depth models are constructed by sampling repeatedly from the dated levels, each time drawing age-depth curves. Model types include linear interpolation, linear or polynomial regression, and a range of splines. See Blaauw (2010). <doi:10.1016/j.quageo.2010.01.002>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [ctb], Judith Esquivel Vazquez [ctb], Simon Goring [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between clam versions 2.3.4 dated 2020-03-12 and 2.3.5 dated 2020-08-10

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Package rbacon updated to version 2.4.3 with previous version 2.4.2 dated 2020-04-21

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) <doi:10.1214/11-BA618>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut, ctb, cph], Marco A. Aquino L. [aut], Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package blkbox (with last version 1.0) was removed from CRAN

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

2016-08-07 1.0

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Package vtree updated to version 5.0.0 with previous version 4.0.0 dated 2020-01-08

Title: Display Information About Nested Subsets of a Data Frame
Description: A tool for calculating and drawing "variable trees". Variable trees display information about nested subsets of a data frame.
Author: Nick Barrowman [aut, cre] Sebastian Gatscha <kona1@gmx.at> [aut] (Shiny interface) Andrea Leofreddi <a.leofreddi@vleo.net> [cph] (svg-pan-zoom library)
Maintainer: Nick Barrowman <nbarrowman@cheo.on.ca>

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Package wikifacts updated to version 0.4 with previous version 0.3.0 dated 2020-06-14

Title: Get Facts and Data from Wikipedia and Wikidata
Description: Query Wikidata and get facts from current and historic Wikipedia main pages.
Author: Keith McNulty [aut, cre] (<https://orcid.org/0000-0002-2332-1654>), Petr Kajzar [ctb]
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>

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Package TTR updated to version 0.24.0 with previous version 0.23-6 dated 2019-12-15

Title: Technical Trading Rules
Description: A collection of over 50 technical indicators for creating technical trading rules. The package also provides fast implementations of common rolling-window functions, and several volatility calculations.
Author: Joshua Ulrich
Maintainer: Joshua Ulrich <josh.m.ulrich@gmail.com>

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Package tidytable updated to version 0.5.4 with previous version 0.5.3 dated 2020-07-16

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table' that is 'rlang' compatible, giving users the speed of 'data.table' with the clean syntax of the tidyverse.
Author: Mark Fairbanks [aut, cre], Tyson Barrett [ctb], Ivan Leung [ctb], Ross Kennedy [ctb], Lionel Henry [ctb], Matt Carlson [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

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Package RJDemetra updated to version 0.1.6 with previous version 0.1.5 dated 2020-03-11

Title: Interface to 'JDemetra+' Seasonal Adjustment Software
Description: Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Author: Alain Quartier-la-Tente [aut, cre] (<https://orcid.org/0000-0001-7890-3857>), Anna Michalek [aut], Jean Palate [aut], Raf Baeyens [aut]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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Package radiant.model updated to version 1.3.13 with previous version 1.3.10 dated 2020-03-24

Title: Model Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in radiant.data.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package RaceID updated to version 0.2.1 with previous version 0.2.0 dated 2020-05-20

Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>

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Package prettydoc updated to version 0.4.0 with previous version 0.3.1 dated 2019-11-23

Title: Creating Pretty Documents from R Markdown
Description: Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
Author: Yixuan Qiu [aut, cre], Jason Long [ctb] (the Cayman, Tactile and Architect themes), Renyuan Zou [ctb] (the Leonids theme), Michael Rose [ctb] (the HPSTR theme), JJ Allaire [ctb] (pandoc template for rmarkdown), Hadley Wickham [ctb] (the html_vignette() function), Yihui Xie [ctb] (the html_vignette() function), Steve Matteson [ctb] (the Open Sans fonts), Emily Eisenberg [ctb] (the KaTeX library), Sophie Alpert [ctb] (the KaTeX library)
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between prettydoc versions 0.3.1 dated 2019-11-23 and 0.4.0 dated 2020-08-10

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Package piecepackr updated to version 1.5.1 with previous version 1.4.1 dated 2020-06-11

Title: Board Game Graphics
Description: Functions to make board game graphics. By default makes game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <http://www.ludism.org/ppwiki> but can be configured to make graphics for other board game systems.
Author: Trevor L Davis [aut, cre], Delapouite <https://delapouite.com/> [dtc] (Meeple shape extracted from "Meeple icon" <https://game-icons.net/1x1/delapouite/meeple.html> / "CC BY 3.0" <http://creativecommons.org/licenses/by/3.0/>)
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between piecepackr versions 1.4.1 dated 2020-06-11 and 1.5.1 dated 2020-08-10

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New package parglm with initial version 0.1.6
Package: parglm
Type: Package
Title: Parallel GLM
Version: 0.1.6
Authors@R: c( person("Benjamin", "Christoffersen", email = "boennecd@gmail.com", role = c("cre", "aut")), person("Anthony", "Williams", role = c("cph")), person("Boost developers", role = c("cph")))
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
License: GPL-2
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, Matrix
SystemRequirements: C++11
Suggests: testthat, SuppDists, knitr, rmarkdown, speedglm, microbenchmark, R.rsp
RoxygenNote: 6.1.1
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2020-08-06 12:04:03 UTC; boennecd
Author: Benjamin Christoffersen [cre, aut], Anthony Williams [cph], Boost developers [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-10 17:10:10 UTC

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Package npreg updated to version 1.0-4 with previous version 1.0-3 dated 2020-07-06

Title: Nonparametric Regression via Smoothing Splines
Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, and eight different methods for smoothing parameter selection.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between npreg versions 1.0-3 dated 2020-07-06 and 1.0-4 dated 2020-08-10

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Package nc updated to version 2020.8.6 with previous version 2020.5.13 dated 2020-05-14

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression C libraries (PCRE, RE2, ICU). Output can also include numeric columns via user-specified type conversion functions. RE2 engine (re2r package) was removed from CRAN in Mar 2020 so must be installed from github.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between nc versions 2020.5.13 dated 2020-05-14 and 2020.8.6 dated 2020-08-10

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Package nanotime updated to version 0.3.1 with previous version 0.3.0 dated 2020-08-06

Title: Nanosecond-Resolution Time Support for R
Description: Full 64-bit resolution date and time functionality with nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type. Three additional classes offer interval, period and duration functionality for nanosecond-resolution timestamps.
Author: Dirk Eddelbuettel and Leonardo Silvestri
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between nanotime versions 0.3.0 dated 2020-08-06 and 0.3.1 dated 2020-08-10

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Package greybox updated to version 0.6.1 with previous version 0.6.0 dated 2020-05-20

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK), Yves R. Sagaert [ctb] (Visiting Research at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

Diff between greybox versions 0.6.0 dated 2020-05-20 and 0.6.1 dated 2020-08-10

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Package cpp11 updated to version 0.2.0 with previous version 0.1.0 dated 2020-07-10

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Romain François [ctb], Benjamin Kietzman [ctb], RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between cpp11 versions 0.1.0 dated 2020-07-10 and 0.2.0 dated 2020-08-10

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Package collections updated to version 0.3.5 with previous version 0.3.4 dated 2020-07-25

Title: High Performance Container Data Types
Description: Provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Author: Randy Lai [aut, cre], Andrea Mazzoleni [cph] (tommy hash table library), Yann Collet [cph] (xxhash algorithm)
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between collections versions 0.3.4 dated 2020-07-25 and 0.3.5 dated 2020-08-10

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Package smog updated to version 2.1.0 with previous version 2.0 dated 2019-12-20

Title: Structural Modeling by using Overlapped Group Penalty
Description: Fits a linear non-penalized phenotype (demographic) variables and penalized groups of prognostic effect and predictive effect, by satisfying such hierarchy structures that if a predictive effect exists, its prognostic effect must also exist. This package can deal with continuous, binomial or multinomial, and survival response variables, underlying the assumption of Gaussian, binomial (multinomial), and Cox proportional hazard models, respectively. It is implemented by combining the iterative shrinkage-thresholding algorithm and the alternating direction method of multipliers algorithms. The main method is built in C++, and the complementary methods are written in R.
Author: Chong Ma [aut, cre], Kevin Galinsky [ctb]
Maintainer: Chong Ma <chongma8903@gmail.com>

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Package poismf updated to version 0.2.3 with previous version 0.2.0 dated 2020-05-26

Title: Factorization of Sparse Counts Matrices Through Poisson Likelihood
Description: Creates a low-rank factorization of a sparse counts matrix by maximizing Poisson likelihood with l1/l2 regularization with all non-negative latent factors (e.g. for recommender systems or topic modeling) (Cortes, (2018) <arXiv:1811.01908>). Similar to hierarchical Poisson factorization, but follows an optimization-based approach with regularization instead of a hierarchical structure, and is fit through gradient-based methods instead of variational inference.
Author: David Cortes [aut, cre, cph], Jean-Sebastien Roy [cph], Stephen Nash [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package lazytrade updated to version 0.3.11 with previous version 0.3.10 dated 2020-03-23

Title: Learn Computer and Data Science using Algorithmic Trading
Description: Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading. Main goal is to process information within "Decision Support System" to come up with analysis or predictions. There are several utilities such as dynamic and adaptive risk management using reinforcement learning and even functions to generate predictions of price changes using pattern recognition deep regression learning. Summary of Methods used: Awesome H2O tutorials: <https://github.com/h2oai/awesome-h2o>, Market Type research of Van Tharp Institute: <https://www.vantharp.com/>, Reinforcement Learning R package: <https://CRAN.R-project.org/package=ReinforcementLearning>.
Author: Vladimir Zhbanko
Maintainer: Vladimir Zhbanko <vladimir.zhbanko@gmail.com>

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Package logr updated to version 1.1.0 with previous version 1.0.5 dated 2020-07-07

Title: Creates Log Files
Description: Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.
Author: David Bosak [aut, cre]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between logr versions 1.0.5 dated 2020-07-07 and 1.1.0 dated 2020-08-10

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Package mscstts updated to version 0.5.6 with previous version 0.5.5 dated 2020-05-23

Title: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API
Description: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API, including voice synthesis. A valid account must be registered at the Microsoft Cognitive Services website <https://www.microsoft.com/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between mscstts versions 0.5.5 dated 2020-05-23 and 0.5.6 dated 2020-08-10

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Package gemtc updated to version 0.8-7 with previous version 0.8-6 dated 2020-06-24

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations. van Valkenhoef et al. (2012) <doi:10.1002/jrsm.1054>; van Valkenhoef et al. (2015) <doi:10.1002/jrsm.1167>.
Author: Gert van Valkenhoef, Joel Kuiper
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

Diff between gemtc versions 0.8-6 dated 2020-06-24 and 0.8-7 dated 2020-08-10

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Package fastpos updated to version 0.4.0 with previous version 0.3.0 dated 2020-02-17

Title: Finds the Critical Sequential Point of Stability for a Pearson Correlation
Description: Finds the critical sample size ("critical point of stability") for a correlation to stabilize in Schoenbrodt and Perugini's definition of sequential stability (see <doi:10.1016/j.jrp.2013.05.009>).
Author: Johannes Titz [aut, cre, cph]
Maintainer: Johannes Titz <johannes.titz@gmail.com>

Diff between fastpos versions 0.3.0 dated 2020-02-17 and 0.4.0 dated 2020-08-10

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New package rhosa with initial version 0.1.0
Package: rhosa
Title: Higher-Order Spectral Analysis
Date: 2020-08-04
Version: 0.1.0
Authors@R: person(given = "Takeshi", family = "Abe", role = c("aut", "cre"), email = "tabe@fixedpoint.jp", comment = c(ORCID = "0000-0002-7074-4561"))
Description: Higher-order spectra or polyspectra of time series, such as bispectrum and bicoherence, have been investigated in abundant literature and applied to problems of signal detection in a wide range of fields. This package aims to provide a simple API to estimate and analyze them. The current implementation is based on Brillinger and Irizarry (1998) <doi:10.1016/S0165-1684(97)00217-X> for estimating bispectrum, with Lii and Helland (1981) <doi:10.1145/355958.355961> for cross-bispectrum.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/tabe/rhosa
BugReports: https://github.com/tabe/rhosa/issues
RoxygenNote: 7.1.1
Suggests: ggplot2, knitr, rgl, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-04 11:32:23 UTC; abe
Author: Takeshi Abe [aut, cre] (<https://orcid.org/0000-0002-7074-4561>)
Maintainer: Takeshi Abe <tabe@fixedpoint.jp>
Repository: CRAN
Date/Publication: 2020-08-10 13:00:02 UTC

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Package MSbox updated to version 1.2.2 with previous version 1.2.1 dated 2019-07-18

Title: Mass Spectrometry Tools
Description: Common mass spectrometry tools described in John Roboz (2013) <doi:10.1201/b15436>. It allows checking element isotopes, calculating (isotope labelled) exact monoisitopic mass, m/z values and mass accuracy, and inspecting possible contaminant mass peaks, examining possible adducts in electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI) ion sources.
Author: Yonghui Dong
Maintainer: Yonghui Dong <yonghui.dong@gmail.com>

Diff between MSbox versions 1.2.1 dated 2019-07-18 and 1.2.2 dated 2020-08-10

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Package KSPM updated to version 0.2.1 with previous version 0.2.0 dated 2019-10-14

Title: Kernel Semi-Parametric Models
Description: To fit the kernel semi-parametric model and its extensions. It allows multiple kernels and unlimited interactions in the same model. Coefficients are estimated by maximizing a penalized log-likelihood; penalization terms and hyperparameters are estimated by minimizing leave-one-out error. It includes predictions with confidence/prediction intervals, statistical tests for the significance of each kernel, a procedure for variable selection and graphical tools for diagnostics and interpretation of covariate effects. Currently it is implemented for continuous dependent variables. The package is based on the paper of Liu et al. (2007), <doi:10.1111/j.1541-0420.2007.00799.x>.
Author: Catherine Schramm [aut, cre], Aurelie Labbe [ctb], Celia M. T. Greenwood [ctb]
Maintainer: Catherine Schramm <cath.schramm@gmail.com>

Diff between KSPM versions 0.2.0 dated 2019-10-14 and 0.2.1 dated 2020-08-10

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Package flattabler updated to version 1.1.0 with previous version 1.0.0 dated 2020-06-29

Title: Obtaining a Flat Table from Pivot Tables
Description: Transformations that allow obtaining a flat table from reports in text or Excel format that contain data in the form of pivot tables. They can be defined for a single report and applied to a set of reports.
Author: Jose Samos [aut, cre, cph] (<https://orcid.org/0000-0002-4457-3439>)
Maintainer: Jose Samos <jsamos@ugr.es>

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New package ctgdist with initial version 0.1.0
Package: ctgdist
Type: Package
Title: Likert Category Distance Calculator
Version: 0.1.0
Authors@R: c(person("Huseyin", "Yildiz", role = c("aut", "cre"), email = "huseyinyildiz35@gmail.com"), person("Alperen", "Yandi", role = "aut"))
Maintainer: Huseyin Yildiz <huseyinyildiz35@gmail.com>
Description: It is assumed that psychological distances between the categories are equal for the measurement instruments consisted of polytomously scored items. According to Muraki, this assumption must be tested. In the examination process of this assumption, the fit indexes are obtained and evaluated. This package provides that this assumption is removed. By with this package, the converted scale values of all items in a measurement instrument can be calculated by estimating a category parameter set for each item. Thus, the calculations can be made without any need to usage of the common category parameter set. Through this package, the psychological distances of the items are scaled. The scaling of a category parameter set for each item cause differentiation of score of the categories will be got from items. Also, the total measurement instrument score of an individual can be calculated according to the scaling of item score categories by with this package.This package provides that the place of individuals related to the structure to be measured with a measurement instrument consisted of polytomously scored items can be reveal more accurately. In this way, it is thought that the results obtained about individuals can be made more sensitive, and the differences between individuals can be revealed more accurately. On the other hand, it can be argued that more accurate evidences can be obtained regarding the psychometric properties of the measurement instruments.
Imports: mirt, stats
License: GPL-2
Depends: R(>= 3.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-08-04 11:01:09 UTC; husey
Author: Huseyin Yildiz [aut, cre], Alperen Yandi [aut]
Repository: CRAN
Date/Publication: 2020-08-10 13:00:07 UTC

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New package WoodburyMatrix with initial version 0.0.1
Package: WoodburyMatrix
Title: Fast Matrix Operations via the Woodbury Matrix Identity
Version: 0.0.1
Authors@R: person(given = "Michael", family = "Bertolacci", role = c("aut", "cre", "cph"), email = "m.bertolacci@gmail.com", comment = c(ORCID = "0000-0003-0317-5941"))
Description: A hierarchy of classes and methods for manipulating matrices formed implicitly from the sums of the inverses of other matrices, a situation commonly encountered in spatial statistics and related fields. Enables easy use of the Woodbury matrix identity and the matrix determinant lemma to allow computation (e.g., solving linear systems) without having to form the actual matrix. More information on the underlying linear algebra can be found in Harville, D. A. (1997) <doi:10.1007/b98818>.
URL: https://github.com/mbertolacci/WoodburyMatrix
BugReports: https://github.com/mbertolacci/WoodburyMatrix/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: Matrix, methods
Suggests: covr, lintr, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-08-04 04:16:13 UTC; mgnb
Author: Michael Bertolacci [aut, cre, cph] (<https://orcid.org/0000-0003-0317-5941>)
Maintainer: Michael Bertolacci <m.bertolacci@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-10 12:30:02 UTC

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New package GapAnalysis with initial version 1.0.1
Package: GapAnalysis
Title: Conservation Indicators using Spatial Information
Version: 1.0.1
Authors@R: c(person("Dan", "Carver", role = c("aut","cph"), comment = c(ORCID = "0000-0002-1344-6357"), email= "carver.dan1@gmail.com"), person("Chrystian", "Sosa",role = c("aut","cph"), comment = c(ORCID = "0000-0002-3734-3248"), email= "chrystiam.sossa@gmail.com"), person("Colin", "Khoury", role = c("aut","cph"), comment = c(ORCID = "0000-0001-7893-5744"), email= "c.khoury@cgiar.org"), person("Julian", "Ramirez-Villegas",role = c("aut","cre","cph"), comment = c(ORCID = "0000-0002-8044-583X"), email = "J.R.Villegas@cgiar.org"), person("Valentin", "Stefan",role = c("ctb"), email = "valentin.stefan@ufz.de"), person("Harold", "Achicanoy",role = c("ctb","cph"), email = "h.a.achicanoy@cgiar.org"), person("Maria Victoria", "Diaz",role = c("ctb","cph"), email = "m.v.diaz@cgiar.org"), person("Steven", "Sotelo",role = c("ctb","cph"), email = "h.sotelo@cgiar.org"), person("Nora", "Castaneda-Alvarez",role = c("ctb","cph"), email = "nora.castaneda@croptrust.org"), person("Kaue", "De Sousa",role = c("ctb"), email = "k.desousa@cgiar.org"))
Description: Supports the assessment of the degree of conservation of taxa in conservation systems, both in ex situ (in genebanks, botanical gardens, and other repositories) and in situ (in protected natural areas). Methods are described in Khoury et al. (2019) <doi:10.1016/j.ecolind.2018.11.016>, Khoury et al. (2019) <doi:10.1111/DDI.13008>, Castaneda-Alvarez et al. (2016) <doi:10.1038/nplants.2016.22>, and Ramirez-Villegas et al. (2010) <doi:10.1371/journal.pone.0013497>.
URL: https://github.com/CIAT-DAPA/GapAnalysis
BugReports: https://github.com/CIAT-DAPA/GapAnalysis/issues
Depends: R (>= 3.5.0), raster (>= 3.0)
Imports: base (>= 3.5), utils (>= 3.5), data.table, sp (>= 1.4.1), tmap (>= 2.3), sf (>= 0.8), methods (>= 3.5), geosphere (>= 1.5), dataverse (>= 0.2.0), fasterize (>= 1.0.0), rmarkdown (>= 2.1)
Suggests: knitr, rgdal (>= 1.2-3), rgeos(>= 0.5), kableExtra (>= 1.1.0), DT
License: GPL-3
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-08-04 07:47:44 UTC; julian
Author: Dan Carver [aut, cph] (<https://orcid.org/0000-0002-1344-6357>), Chrystian Sosa [aut, cph] (<https://orcid.org/0000-0002-3734-3248>), Colin Khoury [aut, cph] (<https://orcid.org/0000-0001-7893-5744>), Julian Ramirez-Villegas [aut, cre, cph] (<https://orcid.org/0000-0002-8044-583X>), Valentin Stefan [ctb], Harold Achicanoy [ctb, cph], Maria Victoria Diaz [ctb, cph], Steven Sotelo [ctb, cph], Nora Castaneda-Alvarez [ctb, cph], Kaue De Sousa [ctb]
Maintainer: Julian Ramirez-Villegas <J.R.Villegas@cgiar.org>
Repository: CRAN
Date/Publication: 2020-08-10 12:52:06 UTC

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Package rvmethod updated to version 0.1.2 with previous version 0.1.1 dated 2020-07-27

Title: Radial Velocity Method for Detecting Exoplanets
Description: Has various functions designed to implement the Hermite-Gaussian Radial Velocity (HGRV) estimation approach of Holzer et al. (2020) <arXiv:2005.14083>, which is a particular application of the radial velocity method for detecting exoplanets. The overall approach consists of four sequential steps, each of which has a function in this package: (1) estimate the template spectrum with the function estimate_template(), (2) find absorption features in the estimated template with the function findabsorptionfeatures(), (3) fit Gaussians to the absorption features with the function Gaussfit(), (4) apply the HGRV with simple linear regression by calling the function hgrv(). This package is meant to be open source. But please cite the paper Holzer et al. (2020) <arXiv:2005.14083> when publishing results that use this package.
Author: Parker Holzer
Maintainer: Parker Holzer <parker.holzer@yale.edu>

Diff between rvmethod versions 0.1.1 dated 2020-07-27 and 0.1.2 dated 2020-08-10

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Package plainview updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-22

Title: Plot Raster Images Interactively on a Plain HTML Canvas
Description: Provides methods for plotting potentially large (raster) images interactively on a plain HTML canvas. In contrast to package 'mapview' data are plotted without background map, but data can be projected to any spatial coordinate reference system. Supports plotting of classes 'RasterLayer', 'RasterStack', 'RasterBrick' (from package 'raster') as well as 'png' files located on disk. Interactivity includes zooming, panning, and mouse location information. In case of multi-layer 'RasterStacks' or 'RasterBricks', RGB image plots are created (similar to 'raster::plotRGB' - but interactive).
Author: Tim Appelhans [cre, aut], Stefan Woellauer [aut]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

Diff between plainview versions 0.1.0 dated 2019-03-22 and 0.1.1 dated 2020-08-10

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Package easyr updated to version 0.5-0 with previous version 0.4-0 dated 2020-06-02

Title: Helpful Functions from Oliver Wyman Actuarial Consulting
Description: Makes difficult operations easy. Includes these types of functions: shorthand, type conversion, data wrangling, and work flow. Also includes some helpful data objects: NA strings, U.S. state list, color blind charting colors. Built and shared by Oliver Wyman Actuarial Consulting. Accepting proposed contributions through GitHub.
Author: Oliver Wyman Actuarial Consulting [aut, cph], Bryce Chamberlain [aut, cre], Scott Sobel [ctb], Rajesh Sahasrabuddhe [ctb]
Maintainer: Bryce Chamberlain <bryce.chamberlain@oliverwyman.com>

Diff between easyr versions 0.4-0 dated 2020-06-02 and 0.5-0 dated 2020-08-10

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Package datastructures updated to version 0.2.9 with previous version 0.2.8 dated 2018-12-19

Title: Implementation of Core Data Structures
Description: Implementation of advanced data structures such as hashmaps, heaps, or queues. Advanced data structures are essential in many computer science and statistics problems, for example graph algorithms or string analysis. The package uses 'Boost' and 'STL' data types and extends these to R with 'Rcpp' modules.
Author: Simon Dirmeier [aut, cre]
Maintainer: Simon Dirmeier <simon.dirmeier@web.de>

Diff between datastructures versions 0.2.8 dated 2018-12-19 and 0.2.9 dated 2020-08-10

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Package bartCause updated to version 1.0-4 with previous version 1.0-3 dated 2020-06-15

Title: Causal Inference using Bayesian Additive Regression Trees
Description: Contains a variety of methods to generate typical causal inference estimates using Bayesian Additive Regression Trees (BART) as the underlying regression model (Hill (2012) <doi:10.1198/jcgs.2010.08162>).
Author: Vincent Dorie [aut, cre] (<https://orcid.org/0000-0002-9576-3064>), Jennifer Hill [aut] (<https://orcid.org/0000-0003-4983-2206>)
Maintainer: Vincent Dorie <vdorie@gmail.com>

Diff between bartCause versions 1.0-3 dated 2020-06-15 and 1.0-4 dated 2020-08-10

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Package htestClust updated to version 0.2.0 with previous version 0.1.0 dated 2020-06-29

Title: Reweighted Marginal Hypothesis Tests for Clustered Data
Description: A collection of reweighted marginal hypothesis tests for clustered data, based on reweighting methods of Williamson, J., Datta, S., and Satten, G. (2003) <doi:10.1111/1541-0420.00005>. The tests in this collection are clustered analogs to well-known hypothesis tests in the classical setting, and are appropriate for data with cluster- and/or group-size informativeness. The syntax and output of functions are modeled after common, recognizable functions native to R. Methods used in the package refer to Gregg, M., Datta, S., and Lorenz, D. (2020) <doi:10.1177/0962280220928572>, Nevalainen, J., Oja, H., and Datta, S. (2017) <doi:10.1002/sim.7288> Dutta, S. and Datta, S. (2015) <doi:10.1111/biom.12447>, Lorenz, D., Datta, S., and Harkema, S. (2011) <doi:10.1002/sim.4368>, Datta, S. and Satten, G. (2008) <doi:10.1111/j.1541-0420.2007.00923.x>, Datta, S. and Satten, G. (2005) <doi:10.1198/016214504000001583>.
Author: Mary Gregg [aut, cre] (<https://orcid.org/0000-0003-2991-6939>), Somnath Datta [aut] (<https://orcid.org/0000-0003-4381-1842>), Doug Lorenz [aut] (<https://orcid.org/0000-0001-8114-0926>)
Maintainer: Mary Gregg <megregg07@gmail.com>

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Package ggrisk updated to version 1.2 with previous version 1.0 dated 2020-02-09

Title: Risk Score Plot for Cox Regression
Description: The risk plot may be one of the most commonly used figures in tumor genetic data analysis. We can conclude the following two points: Comparing the prediction results of the model with the real survival situation to see whether the survival rate of the high-risk group is lower than that of the low-level group, and whether the survival time of the high-risk group is shorter than that of the low-risk group. The other is to compare the heat map and scatter plot to see the correlation between the predictors and the outcome.
Author: Jing Zhang [aut, cre], Zhi Jin [aut]
Maintainer: Jing Zhang <zj391120@163.com>

Diff between ggrisk versions 1.0 dated 2020-02-09 and 1.2 dated 2020-08-10

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Package clpAPI updated to version 1.3.0 with previous version 1.2.13 dated 2020-02-13

Title: R Interface to C API of COIN-or Clp
Description: R Interface to C API of COIN-OR Clp, depends on COIN-OR Clp Version >= 1.12.0.
Author: Mayo Roettger [cre], Gabriel Gelius-Dietrich [aut], C. Jonathan Fritzemeier [ctb]
Maintainer: Mayo Roettger <mayo.roettger@hhu.de>

Diff between clpAPI versions 1.2.13 dated 2020-02-13 and 1.3.0 dated 2020-08-10

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Package chronosphere updated to version 0.3.1 with previous version 0.3.0 dated 2020-06-10

Title: Earth System History Variables
Description: The purpose of the 'chronosphere' project is to facilitate spatially explicit analyses of (paleo)environmental/ecological research. The package serves as a gateway to plate tectonic reconstructions, deep time global climate model results as well as fossil occurrence datasets such as the Paleobiology Database <https://paleobiodb.org/> and the PaleoReefs Database <https://www.paleo-reefs.pal.uni-erlangen.de/>. Environmental data stored on a remote server can be downloaded and imported directly to the R environment. Query functions to the GPlates <https://www.gplates.org/> desktop application or the GPlates Web Service <https://gws.gplates.org/> allow users to reconstruct coordinates, static plates, and Spatial objects. A wrapper class 'RasterArray' is implemented around the 'RasterLayer' class, allowing the organization of spatially explicit raster data in n-dimensional arrays. The project is developed under the umbrella of the DFG (Deutsche Forschungsgemeinschaft) Research Unit TERSANE2 (For 2332, TEmperature Related Stressors in ANcient Extinctions).
Author: Adam T. Kocsis, Nussaibah B. Raja
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

Diff between chronosphere versions 0.3.0 dated 2020-06-10 and 0.3.1 dated 2020-08-10

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Package anyflights updated to version 0.3.0 with previous version 0.2.0 dated 2020-04-27

Title: Query `nycflights13`-Like Air Travel Data for Given Years and Airports
Description: Supplies a set of functions to query air travel data for user- specified years and airports. Datasets include on-time flights, airlines, airports, planes, and weather.
Author: Simon P. Couch [aut, cre], Hadley Wickham [ctb], Jay Lee [ctb], Dennis Irorere [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>

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Package noctua updated to version 1.8.0 with previous version 1.7.1 dated 2020-07-02

Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between noctua versions 1.7.1 dated 2020-07-02 and 1.8.0 dated 2020-08-10

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New package mauricer with initial version 2.1
Package: mauricer
Type: Package
Title: Install 'BEAST2' Packages
Version: 2.1
Author: Richèl J.C. Bilderbeek
Maintainer: Richèl J.C. Bilderbeek <richel@richelbilderbeek.nl>
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is commonly accompanied by 'BEAUti 2' (<https://www.beast2.org>), which, among others, allows one to install 'BEAST2' package. This package allows to install 'BEAST2' packages from 'R'.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: beastier
Imports: curl, stringr
Suggests: beautier, knitr, rmarkdown, testit, testthat (>= 2.1.0)
VignetteBuilder: knitr
URL: https://docs.ropensci.org/mauricer, https://github.com/ropensci/mauricer
BugReports: https://github.com/ropensci/mauricer/issues
SystemRequirements: BEAST2 (https://www.beast2.org/)
NeedsCompilation: no
Packaged: 2020-08-07 10:44:23 UTC; richel
Repository: CRAN
Date/Publication: 2020-08-10 09:30:02 UTC

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New package scaleAlign with initial version 1.0.0.0
Package: scaleAlign
Type: Package
Title: Scale Alignment for Between-Items Multidimensional Rasch Family Models
Version: 1.0.0.0
Authors@R: person("Leah", "Feuerstahler", email = "lfeuerstahler@fordham.edu", role = c("aut","cre"), comment = c(ORCID = "0000-0002-7001-8519"))
Description: Scale alignment is a new procedure for rescaling dimensions of between-items multidimensional Rasch family models so that dimensions scores can be compared directly (Feuerstahler & Wilson, 2019; under review) <doi:10.1111/jedm.12209>. This package includes functions for implementing delta-dimensional alignment (DDA) and logistic regression alignment (LRA) for dichotomous or polytomous data. This function also includes a wrapper for models fit using the 'TAM' package.
License: GPL-3
Suggests: TAM, MASS, catR
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-07-21 01:01:56 UTC; Leah
Author: Leah Feuerstahler [aut, cre] (<https://orcid.org/0000-0002-7001-8519>)
Maintainer: Leah Feuerstahler <lfeuerstahler@fordham.edu>
Repository: CRAN
Date/Publication: 2020-08-10 08:40:02 UTC

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New package LPsmooth with initial version 0.1.1
Package: LPsmooth
Type: Package
Title: LP Smoothed Inference and Graphics
Version: 0.1.1
Author: Xiangyu Zhang <zhan6004@umn.edu>, Sara Algeri <salgeri@umn.edu>
Maintainer: Xiangyu Zhang <zhan6004@umn.edu>
Description: Classical tests of goodness-of-fit aim to validate the conformity of a postulated model to the data under study. In their standard formulation, however, they do not allow exploring how the hypothesized model deviates from the truth nor do they provide any insight into how the rejected model could be improved to better fit the data. To overcome these shortcomings, we establish a comprehensive framework for goodness-of-fit which naturally integrates modeling, estimation, inference and graphics. In this package, the deviance tests and comparison density plots are performed to conduct the LP smoothed inference, where the letter L denotes nonparametric methods based on quantiles and P stands for polynomials. Simulations methods are used to perform variance estimation, inference and post-selection adjustments. Algeri S. and Zhang X. (2020) <arXiv:2005.13011>.
Imports: LPGraph,LPBkg,truncnorm,nloptr,Hmisc,orthopolynom,polynom
License: GPL-3
LazyData: True
NeedsCompilation: no
Packaged: 2020-08-03 18:41:03 UTC; ZHANGXIANGYU
Repository: CRAN
Date/Publication: 2020-08-10 08:30:03 UTC

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New package func2vis with initial version 1.0-1
Package: func2vis
Type: Package
Title: Clean and Visualize Over Expression Results from 'ConsensusPathDB'
Version: 1.0-1
Date: 2020-08-03
Author: Raghvendra Mall [aut, cre]
Authors@R: c(person(given = "Raghvendra",family = "Mall",role = c("aut","cre"), email = "rmall@hbku.edu.qa"))
Maintainer: Raghvendra Mall <rmall@hbku.edu.qa>
Repository: CRAN
Description: Provides functions to have visualization and clean-up of enriched gene ontologies (GO) terms, protein complexes and pathways (obtained from multiple databases) using 'ConsensusPathDB' from gene set over-expression analysis. Performs clustering of pathway based on similarity of over-expressed gene sets and visualizations similar to Ingenuity Pathway Analysis (IPA) when up and down regulated genes are known. The methods are described in a paper currently submitted by Orecchioni et al, 2020 in Nanoscale.
License: GPL (>= 3)
LazyLoad: true
Depends: ggplot2, igraph, devtools, ggrepel, grDevices, R (>= 3.6)
NeedsCompilation: yes
Packaged: 2020-08-03 17:45:30 UTC; raghvendra
Date/Publication: 2020-08-10 08:10:02 UTC
RoxygenNote: 7.1.1

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Package conquestr updated to version 0.8.5 with previous version 0.5.1 dated 2020-02-07

Title: An R Front End for 'ACER ConQuest'
Description: Extends 'ACER ConQuest' through a family of functions designed to improve graphical outputs and help with advanced analysis (e.g., differential item functioning). Allows R users to call 'ACER ConQuest' from within R and read 'ACER ConQuest' System Files (generated by the command 'put'). Requires 'ACER ConQuest' version 5.12.3 or later. A demonstration version can be downloaded from <https://shop.acer.edu.au/acer-conquest-5.html>.
Author: Dan Cloney [cre, aut], Ray Adams [aut]
Maintainer: Dan Cloney <dan.cloney@acer.org>

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Package landscapemetrics updated to version 1.4.6 with previous version 1.4.5 dated 2020-07-08

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 1.4.5 dated 2020-07-08 and 1.4.6 dated 2020-08-10

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Package tabula (with last version 1.5.1) was removed from CRAN

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

2020-03-19 1.5.1
2020-01-16 1.5.0
2019-09-20 1.3.0
2019-03-20 1.2.0
2018-12-03 1.0.0

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