Mon, 26 Oct 2020

Package sistec updated to version 0.2.0 with previous version 0.1.0 dated 2020-06-17

Title: Tools to Analyze 'Sistec' Datasets
Description: The Brazilian system for diploma registration and validation on technical and superior courses are managing by 'Sistec' platform, see <https://sistec.mec.gov.br/>. This package provides tools for Brazilian institutions to update the student's registration and make data analysis about their situation, retention and drop out.
Author: Samuel Macêdo [aut, cre], Carlos Patrício [aut], Cássio Santos [aut], Clécio Santos [aut], Tiago Spiandorello [ctb]
Maintainer: Samuel Macêdo <samuelmacedo@recife.ifpe.edu.br>

Diff between sistec versions 0.1.0 dated 2020-06-17 and 0.2.0 dated 2020-10-26

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Package exactextractr updated to version 0.5.0 with previous version 0.4.0 dated 2020-06-28

Title: Fast Extraction from Raster Datasets using Polygons
Description: Provides a replacement for the 'extract' function from the 'raster' package that is suitable for extracting raster values using 'sf' polygons.
Author: Daniel Baston [aut, cre], ISciences, LLC [cph]
Maintainer: Daniel Baston <dbaston@isciences.com>

Diff between exactextractr versions 0.4.0 dated 2020-06-28 and 0.5.0 dated 2020-10-26

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Package castor updated to version 1.6.4 with previous version 1.6.3 dated 2020-08-27

Title: Efficient Phylogenetics on Large Trees
Description: Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.6.3 dated 2020-08-27 and 1.6.4 dated 2020-10-26

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Package psychonetrics updated to version 0.8 with previous version 0.7.2 dated 2020-06-24

Title: Structural Equation Modeling and Confirmatory Network Analysis
Description: Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between psychonetrics versions 0.7.2 dated 2020-06-24 and 0.8 dated 2020-10-26

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Package letsR updated to version 4.0 with previous version 3.2 dated 2020-04-14

Title: Data Handling and Analysis in Macroecology
Description: Handling, processing, and analyzing geographic data on species' distributions and environmental variables. Read Vilela & Villalobos (2015) <doi: 10.1111/2041-210X.12401> for details.
Author: Bruno Vilela & Fabricio Villalobos
Maintainer: Bruno Vilela <bvilela.bv@gmail.com>

Diff between letsR versions 3.2 dated 2020-04-14 and 4.0 dated 2020-10-26

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Package GCD updated to version 4.0.7 with previous version 4.0.6 dated 2020-02-28

Title: Global Charcoal Database
Description: Contains the Global Charcoal database data. Data include charcoal series (age, depth, charcoal quantity, associated units and methods) and information on sedimentary sites (localisation, depositional environment, biome, etc.) as well as publications informations. Since 4.0.0 the GCD mirrors the online SQL database at <http://paleofire.org>.
Author: Global Paleofire Working Group <paleofire@univ-fcomte.fr>
Maintainer: Olivier Blarquez <blarquez@gmail.com>

Diff between GCD versions 4.0.6 dated 2020-02-28 and 4.0.7 dated 2020-10-26

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Package V8 updated to version 3.3.1 with previous version 3.3.0 dated 2020-10-24

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up, a NodeJS shared library, or the legacy 3.14/3.15 branch of V8.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between V8 versions 3.3.0 dated 2020-10-24 and 3.3.1 dated 2020-10-26

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Package SP2000 updated to version 0.2.0 with previous version 0.1.0 dated 2020-08-04

Title: Catalogue of Life Toolkit
Description: A programmatic interface to <http://sp2000.org.cn>, re-written based on an accompanying 'Species 2000' API. Access tables describing catalogue of the Chinese known species of animals, plants, fungi, micro-organisms, and more. This package also supports access to catalogue of life global <http://catalogueoflife.org>, China animal scientific database <http://zoology.especies.cn> and catalogue of life Taiwan <https://taibnet.sinica.edu.tw/home_eng.php>. The development of 'SP2000' package were supported by Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment, China <2019HJ2096001006>,Yunnan University's "Double First Class" Project <C176240405> and Yunnan University's Research Innovation Fund for Graduate Students <2019227>.
Author: Liuyong Ding [aut, cre] (<https://orcid.org/0000-0002-5490-182X>), Minrui Huang [ctb], Ke Yang [ctb], Jun Wang [ctb] (<https://orcid.org/0000-0003-2481-1409>), Juan Tao [ctb], Chengzhi Ding [ctb] (<https://orcid.org/0000-0001-5215-7374>), Daming He [ctb]
Maintainer: Liuyong Ding <ly_ding@126.com>

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Package projpred updated to version 2.0.0 with previous version 1.1.6 dated 2020-04-01

Title: Projection Predictive Feature Selection
Description: Performs projection predictive feature selection for generalized linear models and generalized linear and additive multilevel models (see, Piironen, Paasiniemi and Vehtari, 2020, <https://projecteuclid.org/euclid.ejs/1589335310>, Catalina, Bürkner and Vehtari, 2020, <arXiv:2010.06994>). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the package vignette for more information and examples.
Author: Juho Piironen [aut], Markus Paasiniemi [aut], Alejandro Catalina [cre, aut], Aki Vehtari [aut], Jonah Gabry [ctb], Marco Colombo [ctb], Paul-Christian Bürkner [ctb]
Maintainer: Alejandro Catalina <alecatfel@gmail.com>

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Package kde1d updated to version 1.0.3 with previous version 1.0.2 dated 2019-11-18

Title: Univariate Kernel Density Estimation
Description: Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <arXiv:1303.4121>, Geenens and Wang (2018) <arXiv:1602.04862>, Nagler (2018a) <arXiv:1704.07457>, Nagler (2018b) <arXiv:1705.05431>.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between kde1d versions 1.0.2 dated 2019-11-18 and 1.0.3 dated 2020-10-26

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Package Deriv updated to version 4.1.1 with previous version 4.1.0 dated 2020-10-02

Title: Symbolic Differentiation
Description: R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
Author: Andrew Clausen [aut], Serguei Sokol [aut, cre] (<https://orcid.org/0000-0002-5674-3327>), Andreas Rappold [ctb]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between Deriv versions 4.1.0 dated 2020-10-02 and 4.1.1 dated 2020-10-26

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Package Tplyr updated to version 0.1.4 with previous version 0.1.3 dated 2020-10-07

Title: A Grammar of Clinical Data Summary
Description: A tool created to simplify the data manipulation necessary to create clinical reports.
Author: Eli Miller [aut] (<https://orcid.org/0000-0002-2127-9456>), Mike Stackhouse [aut, cre] (<https://orcid.org/0000-0001-6030-723X>), Ashley Tarasiewicz [aut], Nathan Kosiba [aut] (<https://orcid.org/0000-0001-5359-4234>), Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

Diff between Tplyr versions 0.1.3 dated 2020-10-07 and 0.1.4 dated 2020-10-26

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Package Publish updated to version 2020.10.27 with previous version 2019.12.04 dated 2019-12-04

Title: Format Output of Various Routines in a Suitable Way for Reports and Publication
Description: A bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.
Author: Thomas A. Gerds [aut, cre], Christian Torp-Pedersen [ctb], Klaus K Holst [ctb], Brice Ozenne [aut]
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

Diff between Publish versions 2019.12.04 dated 2019-12-04 and 2020.10.27 dated 2020-10-26

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Package NlinTS updated to version 1.4.4 with previous version 1.4.3 dated 2020-09-03

Title: Models for Non Linear Causality Detection in Time Series
Description: Models for non-linear time series analysis and causality detection. The main functionalities of this package consist of an implementation of the classical causality test (C.W.J.Granger 1980) <doi:10.1016/0165-1889(80)90069-X>, and a non-linear version of it based on feed-forward neural networks. This package contains also an implementation of the Transfer Entropy <doi:10.1103/PhysRevLett.85.461>, and the continuous Transfer Entropy using an approximation based on the k-nearest neighbors <doi:10.1103/PhysRevE.69.066138>. There are also some other useful tools, like the VARNN (Vector Auto-Regressive Neural Network) prediction model, the Augmented test of stationarity, and the discrete and continuous entropy and mutual information.
Author: Youssef Hmamouche [aut, cre]
Maintainer: Youssef Hmamouche <hmamoucheyussef@gmail.com>

Diff between NlinTS versions 1.4.3 dated 2020-09-03 and 1.4.4 dated 2020-10-26

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Package graphlayouts updated to version 0.7.1 with previous version 0.7.0 dated 2020-04-25

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david.schoch@manchester.ac.uk>

Diff between graphlayouts versions 0.7.0 dated 2020-04-25 and 0.7.1 dated 2020-10-26

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Package SyScSelection updated to version 1.0.2 with previous version 1.0.1 dated 2020-06-30

Title: Systematic Scenario Selection for Stress Testing
Description: Quasi-Monte-Carlo algorithm for systematic generation of shock scenarios from an arbitrary multivariate elliptical distribution. The algorithm selects a systematic mesh of arbitrary fineness that approximately evenly covers an isoprobability ellipsoid in d dimensions (Flood, Mark D. & Korenko, George G. (2013) <doi:10.1080/14697688.2014.926018>). This package is the 'R' analogy to the 'Matlab' code published by Flood & Korenko in above-mentioned paper.
Author: Merlin Kopfmann
Maintainer: Merlin Kopfmann <mghncd+cran@posteo.jp>

Diff between SyScSelection versions 1.0.1 dated 2020-06-30 and 1.0.2 dated 2020-10-26

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New package sugarbag with initial version 0.1.3
Package: sugarbag
Title: Create Tessellated Hexagon Maps
Version: 0.1.3
Authors@R: c(person("Stephanie", "Kobakian", email = "stephanie.kobakian@gmail.com", role = c("aut", "cre")), person("Dianne", "Cook", role = c("aut", "ths")))
Description: Create a hexagon tile map display from spatial polygons. Each polygon is represented by a hexagon tile, placed as close to it's original centroid as possible, with a focus on maintaining spatial relationship to a focal point. Developed to aid visualisation and analysis of spatial distributions across Australia, which can be challenging due to the concentration of the population on the coast and wide open interior.
URL: https://srkobakian.github.io/sugarbag/, https://github.com/srkobakian/sugarbag
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), dplyr (>= 1.0.0)
Imports: geosphere (>= 1.5), lwgeom (>= 0.2), progress (>= 1.2.2), purrr (>= 0.3.4), rlang (>= 0.4.6), rmapshaper (>= 0.4.4), sf (>= 0.9), tibble (>= 3.0.1), tidyr (>= 1.1.0), utf8 (>= 1.1.4)
RoxygenNote: 7.1.1
Suggests: ggplot2 (>= 3.1.0), knitr, pkgdown, rmarkdown, spData, testthat (>= 2.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-26 01:00:20 UTC; steff
Author: Stephanie Kobakian [aut, cre], Dianne Cook [aut, ths]
Maintainer: Stephanie Kobakian <stephanie.kobakian@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-26 14:20:03 UTC

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Package RAINBOWR updated to version 0.1.21 with previous version 0.1.19 dated 2020-07-23

Title: Genome-Wide Association Study with SNP-Set Methods
Description: By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) <doi:10.1371/journal.pcbi.1007663>.
Author: Kosuke Hamazaki [aut, cre], Hiroyoshi Iwata [aut, ctb]
Maintainer: Kosuke Hamazaki <hamazaki@ut-biomet.org>

Diff between RAINBOWR versions 0.1.19 dated 2020-07-23 and 0.1.21 dated 2020-10-26

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New package IFP with initial version 0.2.3
Package: IFP
Version: 0.2.3
Date: 2020-10-22
Title: Identifying Functional Polymorphisms
Author: Park L
Maintainer: Leeyoung Park <lypark@yonsei.ac.kr>
Description: A suite for identifying causal models using relative concordances and identifying causal polymorphisms in case-control genetic association data, especially with large controls re-sequenced data.
License: GPL (>= 2)
Depends: R (>= 2.11.1)
Imports: haplo.stats,coda
Suggests:
URL: https://www.r-project.org
NeedsCompilation: yes
Repository: CRAN
Packaged: 2020-10-23 00:50:47 UTC; L
Date/Publication: 2020-10-26 14:30:10 UTC

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New package btergm with initial version 1.9.13
Package: btergm
Version: 1.9.13
Date: 2020-10-24
Title: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Authors@R: c(person(given = "Philip", family = "Leifeld", email = "philip.leifeld@essex.ac.uk", role = c("aut", "cre")), person(given = c("Skyler", "J."), family = "Cranmer", email = "cranmer.12@osu.edu", role = "ctb"), person(given = c("Bruce", "A."), family = "Desmarais", email = "bdesmarais@psu.edu", role = "ctb"))
Description: Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.
URL: https://github.com/leifeld/btergm
Encoding: UTF-8
Imports: stats4, utils, methods, graphics, network (>= 1.13.0), sna (>= 2.3.2), ergm (>= 3.11.0), parallel, Matrix (>= 1.2.2), boot (>= 1.3.17), coda (>= 0.18.1), stats, ROCR (>= 1.0.7), speedglm (>= 0.3.1), igraph (>= 0.7.1), RSiena (>= 1.0.12.232), statnet.common (>= 4.2.0)
Suggests: fastglm (>= 0.0.1), testthat
Depends: R (>= 3.5), xergm.common (>= 1.7.7), ggplot2 (>= 2.0.0)
License: GPL (>= 2)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-24 10:11:48 UTC; philip
Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]
Maintainer: Philip Leifeld <philip.leifeld@essex.ac.uk>
Repository: CRAN
Date/Publication: 2020-10-26 14:30:02 UTC

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Package BeastJar updated to version 1.10.6 with previous version 1.10.5 dated 2020-10-13

Title: JAR Dependency for MCMC Using 'BEAST'
Description: Provides JAR to perform Markov chain Monte Carlo (MCMC) inference using the popular Bayesian Evolutionary Analysis by Sampling Trees 'BEAST' software library of Suchard et al (2018) <doi:10.1093/ve/vey016>. 'BEAST' supports auto-tuning Metropolis-Hastings, slice, Hamiltonian Monte Carlo and Sequential Monte Carlo sampling for a large variety of composable standard and phylogenetic statistical models using high performance computing. By placing the 'BEAST' JAR in this package, we offer an efficient distribution system for 'BEAST' use by other R packages using CRAN.
Author: Marc A. Suchard [aut, cre, cph], Andrew Rambaut [cph], Alexei J. Drummond [cph]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between BeastJar versions 1.10.5 dated 2020-10-13 and 1.10.6 dated 2020-10-26

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New package BBEST with initial version 0.1-7
Package: BBEST
Author: Anton Gagin and Igor Levin with contributions from Charles R. Hogg III
Maintainer: Anton Gagin <av.gagin@gmail.com>
Version: 0.1-7
Type: Package
Title: Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
Description: We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated background signal associated with incoherent scattering maximizes the posterior probability, which combines the likelihood of this signal in reciprocal and real spaces with the prior that favors smooth lines. The description of the corresponding approach could be found at Gagin and Levin (2014) <DOI:10.1107/S1600576714023796>.
Date: 2020-10-18
License: GPL-3
Imports: DEoptim, aws, grid, ggplot2, reshape2, shiny, methods
LazyData: yes
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 7.1.1
Encoding: UTF-8
Packaged: 2020-10-26 11:15:50 UTC; aga
Date/Publication: 2020-10-26 14:20:10 UTC

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Package ParallelLogger updated to version 2.0.1 with previous version 2.0.0 dated 2020-06-07

Title: Support for Parallel Computation, Logging, and Function Automation
Description: Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between ParallelLogger versions 2.0.0 dated 2020-06-07 and 2.0.1 dated 2020-10-26

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Package phonfieldwork updated to version 0.0.9 with previous version 0.0.8 dated 2020-10-25

Title: Linguistic Phonetic Fieldwork Tools
Description: There are a lot of different typical tasks that have to be solved during phonetic research and experiments. This includes creating a presentation that will contain all stimuli, renaming and concatenating multiple sound files recorded during a session, automatic annotation in 'Praat' TextGrids (this is one of the sound annotation standards provided by 'Praat' software, see Boersma & Weenink 2020 <https://www.fon.hum.uva.nl/praat/>), creating an html table with annotations and spectrograms, and converting multiple formats ('Praat' TextGrid, 'ELAN', 'EXMARaLDA', 'Audacity', subtitles '.srt', and 'FLEx' flextext). All of these tasks can be solved by a mixture of different tools (any programming language has programs for automatic renaming, and Praat contains scripts for concatenating and renaming files, etc.). 'phonfieldwork' provides a functionality that will make it easier to solve those tasks independently of any additional tools. You can also compare the functionality with other packages: 'rPraat' <https://CRAN.R-project.org/package=rPraat>, 'textgRid' <https://CRAN.R-project.org/package=textgRid>.
Author: George Moroz [aut, cre] (<https://orcid.org/0000-0003-1990-6083>), Jonathan Keane [rev] (<https://orcid.org/0000-0001-7087-9776>), Niko Partanen [rev] (<https://orcid.org/0000-0001-8584-3880>)
Maintainer: George Moroz <agricolamz@gmail.com>

Diff between phonfieldwork versions 0.0.8 dated 2020-10-25 and 0.0.9 dated 2020-10-26

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Package ptmixed updated to version 1.0.1 with previous version 1.0.0 dated 2020-08-27

Title: Poisson-Tweedie Generalized Linear Mixed Model
Description: Fits the Poisson-Tweedie generalized linear mixed model described in Signorelli et al. (2020, <doi:10.1177/1471082X20936017>). Likelihood approximation based on adaptive Gauss Hermite quadrature rule.
Author: Mirko Signorelli [aut, cre, cph] (<https://orcid.org/0000-0002-8102-3356>), Pietro Spitali [aut], Roula Tsonaka [aut]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

Diff between ptmixed versions 1.0.0 dated 2020-08-27 and 1.0.1 dated 2020-10-26

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New package swdpwr with initial version 1.1
Package: swdpwr
Type: Package
Title: Power Calculation for Stepped Wedge Cluster Randomized Trials
Version: 1.1
Date: 2020-10-01
Author: Jiachen Chen [cre, aut], Xin Zhou [aut], Fan Li [aut] and Donna Spiegelman [aut].
Maintainer: Jiachen Chen <jiachen.chen@yale.edu>
Description: To meet the needs of statistical power calculation for stepped wedge cluster randomized trials, we developed this software. Different parameters can be specified by users for different scenarios, including: cohort and cross-sectional settings, binary and continuous outcomes, marginal (GEE) and conditional (mixed effect model) methods, different link functions (identity, log, logit links), with and without time effect of treatment, etc. The methods included in this package: Zhou et al. (2020) <doi:10.1093/biostatistics/kxy031>, Li et al. (2018) <doi:10.1111/biom.12918>. Supplementary documents can be found at: <https://publichealth.yale.edu/cmips/research/software/swdpwr/>.
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2020-10-26 10:10:02 UTC
RoxygenNote: 6.1.99.9001
Packaged: 2020-10-18 15:12:27 UTC; jiachenchen

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New package SpotSampling with initial version 0.1.0
Package: SpotSampling
Type: Package
Title: SPatial and Optimally Temporal (SPOT) Sampling
Version: 0.1.0
Authors@R: c( person("Esther", "Eustache", email = "esther.eustache@unine.ch",role = c("aut", "cre") ), person("Raphael", "Jauslin",role = c("aut"), comment = c(ORCID = "0000-0003-1088-3356") ), person("Yves", "Tille",role = c("aut"), comment = c(ORCID = "0000-0003-0904-5523")) )
Description: In spatial data, information of two neighboring units are generally very similar. For spatial sampling, it is therefore more efficient to select samples that are well spread out in space. Often, the interest lies not only in estimating a measure at one point in time, but rather in estimating several points in time to also study the evolution. Three new methods called Orfs (Optimal Rotation with Fixed sample Size), Orsp (Optimal Rotation with Spread sample), and Spot (Spatial and Optimally Temporal Sampling) are implemented in this package. Orfs allows to select temporal samples with fixed size. Orsp selects spatio-temporal samples with random size that are well spread out in space at each point in time. And Spot generates spread sample with fixed sample size at each wave. These methods provide an optimal time rotation of the selected units using the systematic sampling.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: BalancedSampling, sampling, stats, utils, pracma, WaveSampling, MASS
NeedsCompilation: no
Packaged: 2020-10-19 08:47:54 UTC; eustachee
Author: Esther Eustache [aut, cre], Raphael Jauslin [aut] (<https://orcid.org/0000-0003-1088-3356>), Yves Tille [aut] (<https://orcid.org/0000-0003-0904-5523>)
Maintainer: Esther Eustache <esther.eustache@unine.ch>
Repository: CRAN
Date/Publication: 2020-10-26 10:40:06 UTC

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Package RBMRB updated to version 2.1.4 with previous version 2.1.2 dated 2018-01-30

Title: BMRB Data Access and Visualization
Description: The Biological Magnetic Resonance Data Bank (BMRB,<http:// www.bmrb.io/>) collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR(Nuclear Magnetic Resonance) spectroscopic investigations of biological macromolecules and metabolites. This package provides an interface to BMRB database for easy data access and includes a minimal set of data visualization functions. Users are encouraged to make their own data visualizations using BMRB data.
Author: Kumaran Baskaran
Maintainer: Kumaran Baskaran<baskaran.kumaran@gmail.com>

Diff between RBMRB versions 2.1.2 dated 2018-01-30 and 2.1.4 dated 2020-10-26

 DESCRIPTION                        |   14 ++++-----
 MD5                                |   24 ++++++++--------
 R/RBMRB.R                          |   55 +++++++++++++++++++++++++------------
 man/HSQC_13C.Rd                    |    4 +-
 man/HSQC_15N.Rd                    |    6 ++--
 man/chemical_shift_hist.Rd         |    3 --
 man/chemical_shift_hist_res.Rd     |    8 ++++-
 man/chemical_shift_hists.Rd        |    9 ++++--
 man/convert_cs_to_c13hsqc.Rd       |    4 +-
 man/convert_cs_to_n15hsqc.Rd       |    4 +-
 man/fetch_entry_chemical_shifts.Rd |    6 ++--
 man/fetch_entry_cs.Rd              |    4 +-
 man/filter_outlier.Rd              |    2 -
 13 files changed, 86 insertions(+), 57 deletions(-)

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New package monaco with initial version 0.1.0
Package: monaco
Type: Package
Title: The 'Monaco' Editor as a HTML Widget
Version: 0.1.0
Authors@R: c( person(given = "Stéphane", family = "Laurent", role = c("aut", "cre"), email = "laurent_step@outlook.fr"), person(given = "Microsoft Corporation", role = c("ctb", "cph"), comment = "'Monaco Editor' library"), person(given = "James Long and contributors", role = c("ctb", "cph"), comment = "'Prettier' library"), person(given = "Rich", family = "Harris", role = c("ctb", "cph"), comment = "'svg-parser' library"), person(given = "Lionel", family = "Tzatzkin", role = c("ctb", "cph"), comment = "'scale-that-svg' library"), person(given = "Andrei", family = "Kashcha", role = c("ctb", "cph"), comment = "'panzoom' library"), person(given = list("Vitaly", "Alex"), family = list("Puzrin", "Kocharin"), role = c("ctb", "cph"), comment = "'markdown-it' library"), person(given = "John", family = "Schlinkert", role = c("ctb", "cph"), comment = "'word-wrap' library"), person(given = "jQuery contributors", role = c("ctb", "cph"), comment = "'jQuery' library"), person(given = "Kyle", family = "Fox", role = c("ctb", "cph"), comment = "'jQuery Modal' library"), person(given = list("Tristan", "Limon"), family = list("Edwards", "Monte"), role = c("ctb", "cph"), comment = "'sweetalert2' library") )
Description: A HTML widget rendering the 'Monaco' editor. The 'Monaco' editor is the code editor which powers 'VS Code'. It is particularly well developed for 'JavaScript'. In addition to the built-in features of the 'Monaco' editor, the widget allows to prettify multiple languages, to view the 'HTML' rendering of 'Markdown' code, and to view and resize 'SVG' images.
URL: https://github.com/stla/monaco
BugReports: https://github.com/stla/monaco/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: htmlwidgets, rstudioapi, tools, htmltools, shiny
Suggests: sass
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-19 09:24:37 UTC; stla
Author: Stéphane Laurent [aut, cre], Microsoft Corporation [ctb, cph] ('Monaco Editor' library), James Long and contributors [ctb, cph] ('Prettier' library), Rich Harris [ctb, cph] ('svg-parser' library), Lionel Tzatzkin [ctb, cph] ('scale-that-svg' library), Andrei Kashcha [ctb, cph] ('panzoom' library), Vitaly Puzrin [ctb, cph] ('markdown-it' library), Alex Kocharin [ctb, cph] ('markdown-it' library), John Schlinkert [ctb, cph] ('word-wrap' library), jQuery contributors [ctb, cph] ('jQuery' library), Kyle Fox [ctb, cph] ('jQuery Modal' library), Tristan Edwards [ctb, cph] ('sweetalert2' library), Limon Monte [ctb, cph] ('sweetalert2' library)
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2020-10-26 10:30:03 UTC

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New package mlr3hyperband with initial version 0.1.0
Package: mlr3hyperband
Title: Hyperband for 'mlr3'
Version: 0.1.0
Authors@R: c(person(given = "Marc", family = "Becker", role = c("aut", "cre"), email = "marcbecker@posteo.de", comment = c(ORCID = "0000-0002-8115-0400")), person(given = "Sebastian", family = "Gruber", role = "aut", email = "gruber_sebastian@t-online.de", comment = c(ORCID = "0000-0002-8544-3470")), person(given = "Jakob", family = "Richter", role = "aut", email = "jakob1richter@gmail.com", comment = c(ORCID = "0000-0003-4481-5554")), person(given = "Julia", family = "Moosbauer", role = "aut", email = "ju.moosbauer@googlemail.com", comment = c(ORCID = "0000-0002-0000-9297")), person(given = "Bernd", family = "Bischl", role = "aut", email = "bernd_bischl@gmx.net", comment = c(ORCID = "0000-0001-6002-6980")))
Description: Implements hyperband method for hyperparameter tuning. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'. The hyperband algorithm was proposed by Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh and Ameet Talwalkar (2018) <arXiv:1603.06560>.
License: LGPL-3
URL: https://mlr3hyperband.mlr-org.com, https://github.com/mlr-org/mlr3hyperband
BugReports: https://github.com/mlr-org/mlr3hyperband/issues
Depends: R (>= 3.1.0)
Imports: bbotk (>= 0.2.0), checkmate (>= 1.9.4), data.table, lgr, mlr3 (>= 0.7.0), mlr3misc, mlr3tuning (>= 0.2.0), paradox, R6
Suggests: emoa, mlr3learners, mlr3pipelines, rpart, testthat, xgboost
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.1.1
Collate: 'TunerHyperband.R' 'nds_selection.R' 'bibentries.R' 'zzz.R'
Packaged: 2020-10-19 12:30:28 UTC; marc
Author: Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>), Sebastian Gruber [aut] (<https://orcid.org/0000-0002-8544-3470>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Julia Moosbauer [aut] (<https://orcid.org/0000-0002-0000-9297>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>)
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2020-10-26 10:40:03 UTC

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New package DEPONS2R with initial version 1.0.0
Package: DEPONS2R
Type: Package
Title: Read, Plot and Analyse Output from the DEPONS Model
Version: 1.0.0
Author: Jacob Nabe-Nielsen
Maintainer: Jacob Nabe-Nielsen <jnn@bios.au.dk>
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu>, and for manipulating input raster files.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: rgdal
Imports: raster, methods, sp, utils, grDevices, xml2
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-19 11:42:41 UTC; au155800
Repository: CRAN
Date/Publication: 2020-10-26 10:40:12 UTC

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New package bccp with initial version 0.1.0
Package: bccp
Type: Package
Title: Bias Correction under Censoring Plan
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>
Description: Developed for the following tasks. 1) Computing the Fisher information matrix under progressive type I interval censoring scheme, 2) Computing the bias corrected maximum likelihood estimator under progressive type I interval censoring based on the method of Cox and Snell (1968) <doi:10.1111/j.2517-6161.1968.tb00724.x> , 3) Computing the goodness of fit statistics including Anderson Darling and Cramer-von Mises , and 4) Simulating the progressive type I interval censoring scheme.
Encoding: UTF-8
License: GPL (>= 2)
Depends: R(>= 3.1.0)
Imports: pracma
Repository: CRAN
Version: 0.1.0
Date: 2020-10-18
NeedsCompilation: no
Packaged: 2020-10-19 04:10:07 UTC; NikPardaz
Date/Publication: 2020-10-26 10:20:02 UTC

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New package tdaunif with initial version 0.1.0
Package: tdaunif
Title: Uniform Manifold Samplers for Topological Data Analysis
Version: 0.1.0
Authors@R: c( person("Jason Cory", "Brunson", email = "cornelioid@gmail.com", role = c("aut", "cre")), person("Brandon", "Demkowicz", email = "brandondemkowicz@gmail.com", role = "aut"), person("Sanmati", "Choudhary", email = "20choudharysa@fpsct.org", role = "aut") )
Description: Uniform random samples from simple manifolds, sometimes with noise, are commonly used to test topological data analytic (TDA) tools. This package includes samplers powered by two techniques: analytic volume-preserving parameterizations, as employed by Arvo (1995) <doi:10.1145/218380.218500>, and rejection sampling, as employed by Diaconis, Holmes, and Shahshahani (2013) <doi:10.1214/12-IMSCOLL1006>.
Depends: R (>= 3.3.0)
Suggests: knitr, rmarkdown, testthat, vdiffr (>= 0.2)
License: GPL-3
Encoding: UTF-8
URL: https://corybrunson.github.io/tdaunif/
BugReports: https://github.com/corybrunson/tdaunif/issues
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-17 14:50:33 UTC; corybrunson
Author: Jason Cory Brunson [aut, cre], Brandon Demkowicz [aut], Sanmati Choudhary [aut]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-26 09:20:02 UTC

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Package secuTrialR updated to version 1.0.6 with previous version 1.0.3 dated 2020-04-24

Title: Handling of Data from the Clinical Data Management System 'secuTrial'
Description: Seamless and standardized interaction with data exported from the clinical data management system (CDMS) 'secuTrial'<https://www.secutrial.com>. The primary data export the package works with is a standard non-rectangular export.
Author: Patrick R. Wright [cre, aut, cph], Alan G. Haynes [aut, cph], Milica Markovic [aut, cph], Gilles Dutilh [ctb], Armando Lenz [ctb], Pascal Benkert [com]
Maintainer: Patrick R. Wright <patrick.wright@usb.ch>

Diff between secuTrialR versions 1.0.3 dated 2020-04-24 and 1.0.6 dated 2020-10-26

 DESCRIPTION                                |    6 
 MD5                                        |   38 -
 NEWS.md                                    |    9 
 R/dates_secuTrial.R                        |    3 
 R/factorize.R                              |   46 -
 R/internals.R                              |   27 
 R/read_validation_overview.R               |   13 
 R/subset.R                                 |    6 
 README.md                                  |  962 +++++++++++++----------------
 inst/doc/secuTrialR-package-vignette.R     |   56 +
 inst/doc/secuTrialR-package-vignette.Rmd   |  126 +++
 inst/doc/secuTrialR-package-vignette.pdf   |binary
 man/read_validation_overview.Rd            |   10 
 tests/testthat/test-id_conversion.R        |    6 
 tests/testthat/test-plot_recruitment.R     |    3 
 tests/testthat/test-read_export_options.R  |    2 
 tests/testthat/test-subset.R               |   30 
 tests/testthat/test-visit_structure.R      |   10 
 vignettes/secuTrialR-package-vignette.Rmd  |  126 +++
 vignettes/secuTrialR-package-vignette.html |  184 ++++-
 20 files changed, 1074 insertions(+), 589 deletions(-)

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New package r3dmol with initial version 0.1.0
Package: r3dmol
Title: Create Interactive 3D Visualizations of Molecular Data
Version: 0.1.0
Authors@R: person(given = "Wei", family = "Su", role = c("aut", "cre"), email = "swsoyee@gmail.com")
Maintainer: Wei Su <swsoyee@gmail.com>
Description: Create rich and fully interactive 3D visualizations of molecular data. Visualizations can be included in Shiny apps and R markdown documents, or viewed from the R console and 'RStudio' Viewer. 'r3dmol' includes an extensive API to manipulate the visualization after creation, and supports getting data out of the visualization into R. Based on the '3dmol.js' and the 'htmlwidgets' R package.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: htmlwidgets, magrittr, methods
Suggests: knitr, rmarkdown, shiny, colourpicker, covr, testthat
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://github.com/swsoyee/r3dmol
BugReports: https://github.com/swsoyee/r3dmol/issues
NeedsCompilation: no
Packaged: 2020-10-17 16:51:58 UTC; wsu
Author: Wei Su [aut, cre]
Repository: CRAN
Date/Publication: 2020-10-26 09:20:06 UTC

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New package linne with initial version 0.0.2
Package: linne
Title: Convenient 'CSS'
Version: 0.0.2
Authors@R: person(given = "John", family = "Coene", role = c("aut", "cre"), email = "jcoenep@gmail.com")
Description: Conveniently generate 'CSS' using R code.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
Imports: R6, rlang, purrr, cli, shiny, magrittr
Suggests: htmltools, knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
URL: https://linne.john-coene.com/
BugReports: https://github.com/JohnCoene/linne/issues
NeedsCompilation: no
Packaged: 2020-10-17 14:28:05 UTC; jp
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-26 09:20:10 UTC

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New package imbibe with initial version 0.1.0
Package: imbibe
Version: 0.1.0
Date: 2020-10-17
Title: A Pipe-Friendly Image Calculator
Authors@R: c(person("Jon", "Clayden", email="code@clayden.org", role=c("aut","cre"), comment=c(ORCID="0000-0002-6608-0619")), person("Chris", "Rorden", role="aut", comment=c(ORCID="0000-0002-7554-6142")), person("John", "Muschelli", role="ctb", comment=c(ORCID="0000-0001-6469-1750")), person("Exstrom Laboratories LLC", role="cph"))
Maintainer: Jon Clayden <code@clayden.org>
Imports: Rcpp, RNifti, magrittr
LinkingTo: Rcpp, RNifti
Suggests: mmand, tinytest, covr
Description: Provides a set of fast, chainable image-processing operations which are applicable to images of two, three or four dimensions, particularly medical images.
License: BSD_3_clause + file LICENCE
URL: https://github.com/jonclayden/imbibe
BugReports: https://github.com/jonclayden/imbibe/issues
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-10-17 17:32:28 UTC; jon
Author: Jon Clayden [aut, cre] (<https://orcid.org/0000-0002-6608-0619>), Chris Rorden [aut] (<https://orcid.org/0000-0002-7554-6142>), John Muschelli [ctb] (<https://orcid.org/0000-0001-6469-1750>), Exstrom Laboratories LLC [cph]
Repository: CRAN
Date/Publication: 2020-10-26 09:30:02 UTC

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Package dosearch updated to version 1.0.6 with previous version 1.0.4 dated 2019-10-22

Title: Causal Effect Identification from Multiple Incomplete Data Sources
Description: Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm. Allows for the presence of mechanisms related to selection bias (Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>), transportability (Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>), missing data (Mohan, K. and Pearl, J. and Tian., J. (2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports identification in the presence of context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs see Corander et al. (2019) <doi:10.1016/j.apal.2019.04.004>. For further information on the search-based approach see Tikka et al. (2019) <arXiv:1902.01073>.
Author: Santtu Tikka [aut, cre] (<https://orcid.org/0000-0003-4039-4342>), Antti Hyttinen [ctb] (<https://orcid.org/0000-0002-6649-3229>), Juha Karvanen [ctb] (<https://orcid.org/0000-0001-5530-769X>)
Maintainer: Santtu Tikka <santtuth@gmail.com>

Diff between dosearch versions 1.0.4 dated 2019-10-22 and 1.0.6 dated 2020-10-26

 dosearch-1.0.4/dosearch/R/get_derivation_dag.R       |only
 dosearch-1.0.4/dosearch/R/get_derivation_ldag.R      |only
 dosearch-1.0.4/dosearch/R/to_dec.R                   |only
 dosearch-1.0.4/dosearch/R/to_vec.R                   |only
 dosearch-1.0.6/dosearch/DESCRIPTION                  |   10 
 dosearch-1.0.6/dosearch/MD5                          |   41 +--
 dosearch-1.0.6/dosearch/NAMESPACE                    |   10 
 dosearch-1.0.6/dosearch/NEWS                         |   11 
 dosearch-1.0.6/dosearch/R/RcppExports.R              |   22 -
 dosearch-1.0.6/dosearch/R/dosearch.R                 |  137 +++++++++-
 dosearch-1.0.6/dosearch/R/internal.R                 |only
 dosearch-1.0.6/dosearch/inst/CITATION                |   24 -
 dosearch-1.0.6/dosearch/man/bivariate_missingness.Rd |    2 
 dosearch-1.0.6/dosearch/man/dosearch-package.Rd      |  256 +++++++++----------
 dosearch-1.0.6/dosearch/man/dosearch.Rd              |  176 +++++++------
 dosearch-1.0.6/dosearch/man/get_benchmark.Rd         |only
 dosearch-1.0.6/dosearch/man/get_derivation.Rd        |only
 dosearch-1.0.6/dosearch/man/get_formula.Rd           |only
 dosearch-1.0.6/dosearch/man/is_identifiable.Rd       |only
 dosearch-1.0.6/dosearch/src/RcppExports.cpp          |    8 
 dosearch-1.0.6/dosearch/src/csisearch.cpp            |   18 -
 dosearch-1.0.6/dosearch/src/dosearch.cpp             |   16 -
 dosearch-1.0.6/dosearch/src/initialize_csisearch.cpp |    2 
 dosearch-1.0.6/dosearch/src/initialize_dosearch.cpp  |    2 
 dosearch-1.0.6/dosearch/src/search.cpp               |   25 +
 dosearch-1.0.6/dosearch/src/search.h                 |    2 
 26 files changed, 463 insertions(+), 299 deletions(-)

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New package DIDmultiplegt with initial version 0.1.0
Package: DIDmultiplegt
Type: Package
Title: Estimation in DID with Multiple Groups and Periods
Version: 0.1.0
Authors@R: c(person("Shuo", "Zhang", role = c("aut", "cre"), email = "shuo_zhang@ucsb.edu"), person("Clément", "de Chaisemartin", role = "aut", email = "clementdechaisemartin@ucsb.edu"))
Maintainer: Shuo Zhang <shuo_zhang@ucsb.edu>
Description: Estimate the effect of a treatment on an outcome in sharp Difference-in-Difference designs with multiple groups and periods. It computes the DIDM estimator introduced in Section 4 of "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects" (Chaisemartin, D'Haultfoeuille (2020) <doi:10.1257/aer.20181169>), which generalizes the standard DID estimator with two groups, two periods and a binary treatment to situations with many groups,many periods and a potentially non-binary treatment. For each pair of consecutive time periods t-1 and t and for each value of the treatment d, the package computes a DID estimator comparing the outcome evolution among the switchers, the groups whose treatment changes from d to some other value between t-1 and t, to the same evolution among control groups whose treatment is equal to d both in t-1 and t. Then the DIDM estimator is equal to the average of those DIDs across all pairs of consecutive time periods and across all values of the treatment. Under a parallel trends assumption, DIDM is an unbiased and consistent estimator of the average treatment effect among switchers, at the time period when they switch. The package can also compute placebo estimators that can be used to test the parallel trends assumption. Finally, in staggered adoption designs where each group's treatment is weakly increasing over time, it can compute estimators of switchers' dynamic treatment effects, one time period or more after they have started receiving the treatment.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.4.0)
Imports: dplyr (>= 1.0.0), fixest (>= 0.6.0), plotrix, stringr, sampling, stats, parallel, assertthat
Suggests: wooldridge
NeedsCompilation: no
Packaged: 2020-10-18 04:53:09 UTC; sicongfeng
Author: Shuo Zhang [aut, cre], Clément de Chaisemartin [aut]
Repository: CRAN
Date/Publication: 2020-10-26 09:50:02 UTC

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Package equateMultiple updated to version 0.0.1 with previous version 0.0.0 dated 2017-11-02

Title: Equating of Multiple Forms
Description: Equating of multiple forms using Item Response Theory (IRT) methods (Battauz M. (2017) <doi:10.1007/s11336-016-9517-x> and Haberman S. J. (2009) <doi:10.1002/j.2333-8504.2009.tb02197.x>).
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

Diff between equateMultiple versions 0.0.0 dated 2017-11-02 and 0.0.1 dated 2020-10-26

 equateMultiple-0.0.0/equateMultiple/man/equateMultiple-internal.Rd        |only
 equateMultiple-0.0.0/equateMultiple/src/Makevars                          |only
 equateMultiple-0.0.0/equateMultiple/src/Makevars.win                      |only
 equateMultiple-0.0.1/equateMultiple/DESCRIPTION                           |    6 
 equateMultiple-0.0.1/equateMultiple/MD5                                   |   13 
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Package AHMbook updated to version 0.2.2 with previous version 0.2.0 dated 2020-06-09

Title: Functions and Data for the Book 'Applied Hierarchical Modeling in Ecology' Vols 1 and 2
Description: Provides functions and data sets to accompany the two volume publication 'Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS' by Marc Kéry and Andy Royle: volume 1 (2016, ISBN: 978-0-12-801378-6) and volume 2 (2021, ISBN: 978-0-12-809585-0), <https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook>.
Author: Marc Kéry [aut], Andy Royle [aut], Mike Meredith [aut, cre], Urs Breitenmoser [dtc] (EurasianLynx), Richard Chandler [ctb], Bob Dorazio [ctb], Evan Grant [dtc] (duskySalamanders), John-Andren Henden [dtc] (Finnmark), Roland Kays [dtc] (MesoCarnivores), David King [dtc] (cswa), Xavier Lambin [dtc] (waterVoles), Jeremy Mizel [ctb, dtc] (treeSparrow), Anja Molinari-Jobin [dtc] (EurasianLynx), René-Jean Monneret [dtc] (FrenchPeregrines), Arielle Parsons [dtc] (MesoCarnivores), René Ruffinoni [dtc] (FrenchPeregrines), Michael Schaub [ctb], Rahel Solmann [ctb], Nicolas Strebel [dtc], Chris Sutherland [ctb, dtc] (waterVoles), Mathias Tobler [ctb], Fridolin Zimmermann [dtc] (EurasianLynx), Aargau Biodiversity Monitoring Program (LANAG) [dtc], British Ornithological Trust [dtc] (willowWarbler, UKmarbledWhite, <https://www.bto.org/>), Butterfly Conservation [dtc, cph] (UKmarbledWhite, <https://butterfly-conservation.org>), Centre for Ecology & Hydrology [dtc, cph] (UKmarbledWhite, <https://www.ceh.ac.uk>), Dutch Centre for Field Ornithology (Sovon) [dtc] (wagtail, <https://www.sovon.nl>), eMammal [dtc] (MesoCarnivores, <https://emammal.si.edu/>), Groupe Pèlerin Jura [dtc] (FrenchPeregrines), Hubbard Brook Ecosystem Study [dtc] (HubbardBrook, <http://data.hubbardbrook.org/data/dataset.php?id=178>), Joint Nature Conservation Committee (JNCC) [dtc, cph] (UKmarbledWhite, <https://jncc.gov.uk/>), North Carolina Museum of Natural Sciences [dtc] (mesoCarnivores), North Carolina State University [dtc] (mesoCarnivores), Progetto Lince Italia [dtc] (EurasianLynx, <https://www.progettolinceitalia.it>), Swiss Federal Statistical Office [dtc, cph] (BerneseOberland, <http://www.bfs.admin.ch>), Swiss Foundation KORA Carnivore Ecology and Wildlife Management (SCALP project) [dtc] (EurasianLynx, <https://www.kora.ch>), Swiss Ornithological Institute [dtc] (<https://www.vogelwarte.ch>), UK Butterfly Monitoring Scheme (UKBMS) [dtc, cph] (UKmarbledWhite, <https://www.ceh.ac.uk/our-science/projects/uk-butterfly-monitoring-scheme>)
Maintainer: Mike Meredith <mike@mmeredith.net>

Diff between AHMbook versions 0.2.0 dated 2020-06-09 and 0.2.2 dated 2020-10-26

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 R/simDCM.R                                                        |   92 ++-
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 R/simDSM.R                                                        |   33 -
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 R/simExpCorrRF.R                                                  |   24 
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 R/simHDStr.R                                                      |   50 +
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 R/simSpatialHDS.R                                                 |   24 
 R/tryPlotError.R                                                  |only
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 inst/WORDLIST                                                     |  267 ++++------
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 man/ch2marray.Rd                                                  |    2 
 man/color_ramps.Rd                                                |    2 
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 man/data_Finnmark.Rd                                              |    2 
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 man/data_MHB2014.Rd                                               |    4 
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 man/data_SwissAtlasHa.Rd                                          |    4 
 man/data_SwissEagleOwls.Rd                                        |    4 
 man/data_SwissMarbledWhite.Rd                                     |   17 
 man/data_SwissSquirrels.Rd                                        |    4 
 man/data_SwissTits.Rd                                             |    8 
 man/data_UKmarbledWhite.Rd                                        |    4 
 man/data_crestedTit.Rd                                            |    4 
 man/data_crossbillAHM.Rd                                          |    8 
 man/data_cswa.Rd                                                  |    4 
 man/data_dragonflies.Rd                                           |    2 
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 man/data_waterVoles.Rd                                            |    2 
 man/data_wigglyLine.Rd                                            |    4 
 man/data_willowWarbler.Rd                                         |   12 
 man/fitstats.Rd                                                   |    2 
 man/getLVcorrMat.Rd                                               |    4 
 man/graphSSM.Rd                                                   |    4 
 man/image_scale.Rd                                                |    6 
 man/modSelFP.Rd                                                   |    2 
 man/piFuns.Rd                                                     |    5 
 man/playRN.Rd                                                     |    2 
 man/sim3Occ.Rd                                                    |    2 
 man/simCJS.Rd                                                     |    2 
 man/simDCM.Rd                                                     |    6 
 man/simDM_simDM0.Rd                                               |    6 
 man/simDSM.Rd                                                     |   11 
 man/simData.fn.Rd                                                 |    2 
 man/simDataDK.Rd                                                  |    2 
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 man/simDynocc.Rd                                                  |   11 
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 man/simHDS.Rd                                                     |    2 
 man/simHDStr.Rd                                                   |    4 
 man/simIssj.sim.Rd                                                |    2 
 man/simLdata.Rd                                                   |    2 
 man/simMultMix.Rd                                                 |    4 
 man/simNmix.Rd                                                    |   10 
 man/simNmixSpatial.Rd                                             |    8 
 man/simNpC.Rd                                                     |    2 
 man/simOcc.Rd                                                     |    4 
 man/simOccSpatial.Rd                                              |   10 
 man/simOccttd.Rd                                                  |    8 
 man/simPH.Rd                                                      |    4 
 man/simPOP.Rd                                                     |    6 
 man/simPPe.Rd                                                     |    7 
 man/simSpatialDS.Rd                                               |    2 
 man/simSpatialDSline.Rd                                           |    8 
 man/simSpatialDSte.Rd                                             |    6 
 man/simWigglyOcc.Rd                                               |    2 
 man/simpleNmix.Rd                                                 |    2 
 man/standardize.Rd                                                |    2 
 man/valid_data.Rd                                                 |   12 
 man/zinit.Rd                                                      |    2 
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Package puniform updated to version 0.2.3 with previous version 0.2.2 dated 2020-06-20

Title: Meta-Analysis Methods Correcting for Publication Bias
Description: Provides meta-analysis methods that correct for publication bias and outcome reporting bias. Four methods and a visual tool are currently included in the package. The p-uniform method as described in van Assen, van Aert, and Wicherts (2015) <doi:10.1037/met0000025> can be used for estimating the average effect size, testing the null hypothesis of no effect, and testing for publication bias using only the statistically significant effect sizes of primary studies. The second method in the package is the p-uniform* method as described in van Aert and van Assen (2019) <doi:10.31222/osf.io/zqjr9>. This method is an extension of the p-uniform method that allows for estimation of the average effect size and the between-study variance in a meta-analysis, and uses both the statistically significant and nonsignificant effect sizes. The third method in the package is the hybrid method as described in van Aert and van Assen (2017) <doi:10.3758/s13428-017-0967-6>. The hybrid method is a meta-analysis method for combining an original study and replication and while taking into account statistical significance of the original study. The p-uniform and hybrid method are based on the statistical theory that the distribution of p-values is uniform conditional on the population effect size. The fourth method in the package is the Snapshot Bayesian Hybrid Meta-Analysis Method as described in van Aert and van Assen (2018) <doi:10.1371/journal.pone.0175302>. This method computes posterior probabilities for four true effect sizes (no, small, medium, and large) based on an original study and replication while taking into account publication bias in the original study. The method can also be used for computing the required sample size of the replication akin to power analysis in null hypothesis significance testing. The meta-plot is a visual tool for meta-analysis that provides information on the primary studies in the meta-analysis, the results of the meta-analysis, and characteristics of the research on the effect under study (van Assen and others, 2020). Helper functions to apply the Correcting for Outcome Reporting Bias (CORB) method to correct for outcome reporting bias in a meta-analysis (van Aert & Wicherts, 2020).
Author: Robbie C.M. van Aert
Maintainer: Robbie C.M. van Aert <R.C.M.vanAert@tilburguniversity.edu>

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Package packagefinder updated to version 0.3.2 with previous version 0.3.1 dated 2020-09-26

Title: Comfortable Search for R Packages on CRAN, Either Directly from the R Console or with an R Studio Add-in
Description: Search for R packages on CRAN directly from the R console, based on the packages' titles, short and long descriptions, or other fields. Combine multiple keywords with logical operators ('and', 'or'), view detailed information on any package and keep track of the latest package contributions to CRAN. If you don't want to search from the R console, use the comfortable R Studio add-in.
Author: Joachim Zuckarelli [aut, cre] (<https://orcid.org/0000-0002-9280-3016>)
Maintainer: Joachim Zuckarelli <joachim@zuckarelli.de>

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Package getCRUCLdata updated to version 0.3.2 with previous version 0.3.1 dated 2019-08-29

Title: 'CRU' 'CL' v. 2.0 Climatology Client
Description: Provides functions that automate downloading and importing University of East Anglia Climate Research Unit ('CRU') 'CL' v. 2.0 climatology data, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a tidy data frame as a 'tibble' or a list of 'raster' 'stack' objects for use. 'CRU' 'CL' v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arcminutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>)
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package tinyscholar updated to version 0.1.2 with previous version 0.1.1 dated 2020-09-19

Title: Get and Show Personal 'Google Scholar' Profile
Description: Provides functions to get personal 'Google Scholar' profile data from web API and show it in table or figure format.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>)
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package RegressionFactory updated to version 0.7.4 with previous version 0.7.2 dated 2016-09-08

Title: Expander Functions for Generating Full Gradient and Hessian from Single-Slot and Multi-Slot Base Distributions
Description: The expander functions rely on the mathematics developed for the Hessian-definiteness invariance theorem for linear projection transformations of variables, described in authors' paper, to generate the full, high-dimensional gradient and Hessian from the lower-dimensional derivative objects. This greatly relieves the computational burden of generating the regression-function derivatives, which in turn can be fed into any optimization routine that utilizes such derivatives. The theorem guarantees that Hessian definiteness is preserved, meaning that reasoning about this property can be performed in the low-dimensional space of the base distribution. This is often a much easier task than its equivalent in the full, high-dimensional space. Definiteness of Hessian can be useful in selecting optimization/sampling algorithms such as Newton-Raphson optimization or its sampling equivalent, the Stochastic Newton Sampler. Finally, in addition to being a computational tool, the regression expansion framework is of conceptual value by offering new opportunities to generate novel regression problems.
Author: Alireza S. Mahani, Mansour T.A. Sharabiani
Maintainer: Alireza S. Mahani <alireza.s.mahani@gmail.com>

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Package mpcmp updated to version 0.3.6 with previous version 0.3.5 dated 2020-10-19

Title: Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression
Description: A collection of functions for estimation, testing and diagnostic checking for the mean-parametrized Conway-Maxwell-Poisson (COM-Poisson) regression model of Huang (2017) <doi:10.1177/1471082X17697749>.
Author: Thomas Fung [aut, cre] (<https://orcid.org/0000-0003-2601-0728>), Aya Alwan [aut], Justin Wishart [aut] (<https://orcid.org/0000-0002-8235-1845>), Alan Huang [aut]
Maintainer: Thomas Fung <thomas.fung.dr@gmail.com>

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Package DALEX updated to version 2.0.1 with previous version 2.0 dated 2020-09-04

Title: moDel Agnostic Language for Exploration and eXplanation
Description: Unverified black box model is the path to the failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack of direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration. Find more details in (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Szymon Maksymiuk [aut] (<https://orcid.org/0000-0002-3120-1601>), Hubert Baniecki [aut] (<https://orcid.org/0000-0001-6661-5364>)
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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 R/model_parts.R                         |    2 -
 R/model_performance.R                   |    2 -
 R/model_profile.R                       |    6 +--
 R/model_variable_effect.R               |    2 -
 R/plot_model_parts.R                    |   12 +++---
 R/plot_model_profile.R                  |   14 +++----
 R/plot_predict_parts.R                  |   36 +++++++++----------
 R/plot_predict_profile.R                |   18 ++++-----
 R/predict_diagnostics.R                 |    2 -
 R/predict_parts.R                       |    2 -
 R/predict_profile.R                     |    2 -
 man/model_diagnostics.Rd                |    4 +-
 man/model_parts.Rd                      |    2 -
 man/model_performance.Rd                |    2 -
 man/model_profile.Rd                    |    4 +-
 man/plot.model_parts.Rd                 |   12 +++---
 man/plot.model_profile.Rd               |   14 +++----
 man/plot.predict_parts.Rd               |   36 +++++++++----------
 man/plot.predict_profile.Rd             |   18 ++++-----
 man/predict_diagnostics.Rd              |    2 -
 man/predict_parts.Rd                    |    2 -
 man/predict_profile.Rd                  |    2 -
 man/variable_effect.Rd                  |    2 -
 tests/testthat/test_explain.R           |    3 +
 tests/testthat/test_model_diagnostics.R |   12 ++++++
 31 files changed, 172 insertions(+), 142 deletions(-)

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Package DFA updated to version 0.9.0 with previous version 0.1.0 dated 2020-07-01

Title: Detrended Fluctuation Analysis
Description: Contains the Detrended Fluctuation Analysis (DFA), Detrended Cross-Correlation Analysis (DCCA), Detrended Cross-Correlation Coefficient (rhoDCCA), Delta Amplitude Detrended Cross-Correlation Coefficient (DeltarhoDCCA), log amplitude Detrended Fluctuation Analysis (DeltalogDFA), two DFA automatic methods for identification of crossover points and a Deltalog automatic method for identification of reference channels.
Author: Victor Barreto Mesquita[aut,cre],Paulo Canas Rodrigues[ctb], Florencio Mendes Oliveira Filho[ctb]
Maintainer: Victor Barreto Mesquita <victormesquita40@hotmail.com>

Diff between DFA versions 0.1.0 dated 2020-07-01 and 0.9.0 dated 2020-10-26

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 DFA-0.9.0/DFA/DESCRIPTION            |    6 
 DFA-0.9.0/DFA/MD5                    |   44 +++---
 DFA-0.9.0/DFA/R/DFA.R                |  252 +++++++++++++++++++++--------------
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 DFA-0.9.0/DFA/man/DCCA.Rd            |   68 +++++----
 DFA-0.9.0/DFA/man/DFA.Rd             |   55 +++++--
 DFA-0.9.0/DFA/man/DeltaDFA.Rd        |   62 +++++---
 DFA-0.9.0/DFA/man/Deltarho.Rd        |   99 ++++++++-----
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 36 files changed, 480 insertions(+), 304 deletions(-)

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Package CHNCapitalStock updated to version 0.1.0 with previous version 0.0.2 dated 2020-06-25

Title: Compute Chinese Capital Stocks
Description: Compute Chinese capital stocks in provinces level, based on Zhang (2008) <DOI:10.1080/14765280802028302>.
Author: Pu Chen [aut, cre]
Maintainer: Pu Chen <shengnehs@qq.com>

Diff between CHNCapitalStock versions 0.0.2 dated 2020-06-25 and 0.1.0 dated 2020-10-26

 DESCRIPTION                     |    7 ++--
 MD5                             |   20 ++++++++------
 NAMESPACE                       |    3 +-
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 R/asset.R                       |    1 
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 man/asset.Rd                    |    3 +-
 tests/testthat/test-provinces.R |    7 ++++
 13 files changed, 75 insertions(+), 51 deletions(-)

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