Tue, 07 Apr 2020

Package aws.s3 updated to version 0.3.21 with previous version 0.3.20 dated 2020-03-11

Title: 'AWS S3' Client Package
Description: A simple client package for the Amazon Web Services ('AWS') Simple Storage Service ('S3') 'REST' 'API' <https://aws.amazon.com/s3/>.
Author: Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>), Boettiger Carl [ctb], Andrew Martin [ctb], Mark Thompson [ctb], Tyler Hunt [ctb], Steven Akins [ctb], Bao Nguyen [ctb], Thierry Onkelinx [ctb], Andrii Degtiarov [ctb], Dhruv Aggarwal [ctb], Alyssa Columbus [ctb], Simon Urbanek [cre, ctb]
Maintainer: Simon Urbanek <simon.urbanek@R-project.org>

Diff between aws.s3 versions 0.3.20 dated 2020-03-11 and 0.3.21 dated 2020-04-07

 DESCRIPTION         |    9 -
 MD5                 |   50 ++++----
 NAMESPACE           |    3 
 NEWS.md             |   10 +
 R/bucketlist.R      |   26 ++--
 R/delete_object.R   |    2 
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 R/s3sync.R          |  296 +++++++++++++++++++++++++++++-----------------------
 R/tagging.R         |    2 
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 man/s3saveRDS.Rd    |    9 +
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 26 files changed, 451 insertions(+), 260 deletions(-)

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Package foghorn updated to version 1.1.5 with previous version 1.1.4 dated 2019-11-28

Title: Summarize CRAN Check Results in the Terminal
Description: The CRAN check results and where your package stands in the CRAN submission queue in your R terminal.
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

Diff between foghorn versions 1.1.4 dated 2019-11-28 and 1.1.5 dated 2020-04-07

 DESCRIPTION           |    8 ++---
 MD5                   |   16 +++++------
 NAMESPACE             |    1 
 NEWS.md               |    4 ++
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 9 files changed, 65 insertions(+), 65 deletions(-)

More information about foghorn at CRAN
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Package pins updated to version 0.4.0 with previous version 0.3.2 dated 2020-02-06

Title: Pin, Discover and Share Resources
Description: Pin remote resources into a local cache to work offline, improve speed and avoid recomputing; discover and share resources in local folders, 'GitHub', 'Kaggle' or 'RStudio Connect'. Resources can be anything from 'CSV', 'JSON', or image files to arbitrary R objects.
Author: Javier Luraschi [aut, cre], RStudio [cph]
Maintainer: Javier Luraschi <javier@rstudio.com>

Diff between pins versions 0.3.2 dated 2020-02-06 and 0.4.0 dated 2020-04-07

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More information about pins at CRAN
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Package DCPO (with last version 0.5.0) was removed from CRAN

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

2020-03-05 0.5.0

Permanent link
Package glmm (with last version 1.3.0) was removed from CRAN

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

2018-12-11 1.3.0
2018-02-22 1.2.3
2017-11-07 1.2.2
2017-08-15 1.2.1
2017-07-25 1.2
2016-08-17 1.1.1
2016-08-13 1.1.0
2015-07-24 1.0.4
2015-04-28 1.0.3
2015-03-19 1.0.2
2015-02-12 1.0.1
2015-02-11 1.0

Permanent link
Package scrubr updated to version 0.3.2 with previous version 0.3.0 dated 2020-02-10

Title: Clean Biological Occurrence Records
Description: Clean biological occurrence records. Includes functionality for cleaning based on various aspects of spatial coordinates, unlikely values due to political 'centroids', coordinates based on where collections of specimens are held, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between scrubr versions 0.3.0 dated 2020-02-10 and 0.3.2 dated 2020-04-07

 DESCRIPTION           |    8 ++--
 MD5                   |   44 +++++++++++-----------
 NEWS.md               |    8 ++++
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 23 files changed, 239 insertions(+), 188 deletions(-)

More information about scrubr at CRAN
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Package NHMSAR updated to version 1.17 with previous version 1.16 dated 2020-03-14

Title: Non-Homogeneous Markov Switching Autoregressive Models
Description: Calibration, simulation, validation of (non-)homogeneous Markov switching autoregressive models with Gaussian or von Mises innovations. Penalization methods are implemented for Markov Switching Vector Autoregressive Models of order 1 only. Most functions of the package handle missing values.
Author: Valerie Monbet
Maintainer: Valerie Monbet <valerie.monbet@gmail.com>

Diff between NHMSAR versions 1.16 dated 2020-03-14 and 1.17 dated 2020-04-07

 DESCRIPTION         |    8 ++++----
 MD5                 |    6 +++---
 R/Mstep.classif.R   |    2 +-
 R/init.theta.MSAR.R |   36 +++++++++++++++++++++++++-----------
 4 files changed, 33 insertions(+), 19 deletions(-)

More information about NHMSAR at CRAN
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Package genpwr updated to version 1.0.2 with previous version 1.0.1 dated 2019-09-17

Title: Power Calculations Under Genetic Model Misspecification
Description: Power and sample size calculations for genetic association studies allowing for misspecification of the model of genetic susceptibility. Power and/or sample size can be calculated for logistic (case/control study design) and linear (continuous phenotype) regression models, using additive, dominant, recessive or degree of freedom coding of the genetic covariate while assuming a true dominant, recessive or additive genetic effect. In addition, power and sample size calculations can be performed for gene by environment interactions. These methods are extensions of Gauderman (2002) <doi:10.1093/aje/155.5.478> and Gauderman (2002) <doi:10.1002/sim.973> and are described in: Moore CM, Jacobson S, Fingerlin TE. Power and Sample Size Calculations for Genetic Association Studies in the Presence of Genetic Model Misspecification. American Society of Human Genetics. October 2018, San Diego.
Author: Camille Moore [aut, cre], Sean Jacobson [aut]
Maintainer: Camille Moore <moorec@njhealth.org>

Diff between genpwr versions 1.0.1 dated 2019-09-17 and 1.0.2 dated 2020-04-07

 DESCRIPTION                                             |    9 
 MD5                                                     |  152 ++---
 NAMESPACE                                               |  150 ++---
 NEWS.md                                                 |    4 
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More information about genpwr at CRAN
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Package crminer updated to version 0.3.2 with previous version 0.3.0 dated 2020-03-13

Title: Fetch 'Scholary' Full Text from 'Crossref'
Description: Text mining client for 'Crossref' (<https://crossref.org>). Includes functions for getting getting links to full text of articles, fetching full text articles from those links or Digital Object Identifiers ('DOIs'), and text extraction from 'PDFs'.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

Diff between crminer versions 0.3.0 dated 2020-03-13 and 0.3.2 dated 2020-04-07

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More information about crminer at CRAN
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Package poweRlaw updated to version 0.70.4 with previous version 0.70.2 dated 2019-01-10

Title: Analysis of Heavy Tailed Distributions
Description: An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
Author: Colin Gillespie [aut, cre] (<https://orcid.org/0000-0003-1787-0275>)
Maintainer: Colin Gillespie <csgillespie@gmail.com>

Diff between poweRlaw versions 0.70.2 dated 2019-01-10 and 0.70.4 dated 2020-04-07

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Package OncoBayes2 updated to version 0.6-4 with previous version 0.6-3 dated 2020-03-19

Title: Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Description: Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph] (R/stanmodels.R, configure, configure.win)
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

Diff between OncoBayes2 versions 0.6-3 dated 2020-03-19 and 0.6-4 dated 2020-04-07

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New package finity with initial version 0.1.2
Package: finity
Type: Package
Title: Test for Finiteness of Moments in a Distribution
Version: 0.1.2
Date: 2020-04-07
Authors@R: c(person("Torsten", "Heinrich", role = c("aut", "cre"), email = "torsten.heinrich@posteo.net"), person("Julian", "Winkler", role = c("aut"), email = "julian.winkler@economics.ox.ac.uk"))
Author: Torsten Heinrich [aut, cre], Julian Winkler [aut]
Maintainer: Torsten Heinrich <torsten.heinrich@posteo.net>
Description: The purpose of this package is to tests whether a given moment of the distribution of a given sample is finite or not. For heavy-tailed distributions with tail exponent b, only moments of order smaller than b are finite. Tail exponent and heavy- tailedness are notoriously difficult to ascertain. But the finiteness of moments (including fractional moments) can be tested directly. This package does that following the test suggested by Trapani (2016) <doi:10.1016/j.jeconom.2015.08.006>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), stabledist (>= 0.7)
LinkingTo: Rcpp, RcppArmadillo, BH
RoxygenNote: 7.0.0
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-04-07 12:07:00 UTC; ganesha
Repository: CRAN
Date/Publication: 2020-04-07 16:10:06 UTC

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Package TeachingDemos updated to version 2.12 with previous version 2.10 dated 2016-02-12

Title: Demonstrations for Teaching and Learning
Description: Demonstration functions that can be used in a classroom to demonstrate statistical concepts, or on your own to better understand the concepts or the programming.
Author: Greg Snow
Maintainer: Greg Snow <538280@gmail.com>

Diff between TeachingDemos versions 2.10 dated 2016-02-12 and 2.12 dated 2020-04-07

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Package sensitivity updated to version 1.18.1 with previous version 1.18.0 dated 2020-03-13

Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and robustness analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Sebastien Da Veiga, Thibault Delage, Reda El Amri, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Amandine Marrel, Anouar Meynaoui, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

Diff between sensitivity versions 1.18.0 dated 2020-03-13 and 1.18.1 dated 2020-04-07

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Package readwritesqlite updated to version 0.1.1 with previous version 0.1.0 dated 2020-01-29

Title: Enhanced Reading and Writing for 'SQLite' Databases
Description: Reads and writes data frames to 'SQLite' databases while preserving time zones (for POSIXct columns), projections (for 'sfc' columns), units (for 'units' columns), levels (for factors and ordered factors) and classes for logical, Date and 'hms' columns. It also logs changes to tables and provides more informative error messages.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Sebastian Dalgarno [ctb] (<https://orcid.org/0000-0002-3658-4517>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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New package R2Addhaz with initial version 0.1.0
Package: R2Addhaz
Type: Package
Title: R2 Measure of Explained Variation under the Additive Hazards Model
Version: 0.1.0
Date: 2020-03-20
Author: Denise Rava
Maintainer: Denise Rava <drava@ucsd.edu>
Description: R^2 measure of explained variation under the semiparametric additive hazards model is estimated. The measure can be used as a measure of predictive capability and therefore it can be adopted in model selection process. Rava, D. and Xu, R. (2020) <arXiv:2003.09460>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RdMacros: Rdpack
Imports: ahaz, pracma, zoo, caTools, survival, Rdpack (>= 0.7)
NeedsCompilation: no
Packaged: 2020-04-06 19:38:37 UTC; Denise
Repository: CRAN
Date/Publication: 2020-04-07 15:20:02 UTC

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New package PKPDmisc with initial version 2.1.2
Package: PKPDmisc
Type: Package
Title: Pharmacokinetic and Pharmacodynamic Data Management Functions
Version: 2.1.2
Date: 2020-04-03
Authors@R: c( person("Devin", "Pastoor", email = "devin.pastoor@gmail.com", role = c("aut", "cre")))
Description: A toolbox for data management common to pharmacokinetic and pharmacokinetic modeling and simulation, such as resampling, area-under-the-curve calculation, data chunking, custom csv output, and project scaffolding.
URL: https://github.com/metrumresearchgroup/PKPDmisc
BugReports: https://github.com/metrumresearchgroup/PKPDmisc/issues
Depends: R (>= 3.2.2)
LinkingTo: Rcpp, BH
Imports: dplyr (>= 0.5.0), data.table, ggplot2, lazyeval, magrittr, parallel, purrr, Rcpp (>= 0.12.10), readr (>= 1.0.0), rlang, stringr, tibble
Suggests: sessioninfo, knitr, rmarkdown, testthat
LazyData: TRUE
License: MIT + file LICENSE
VignetteBuilder: knitr
RoxygenNote: 7.0.2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-04-03 20:43:49 UTC; devinp
Author: Devin Pastoor [aut, cre]
Maintainer: Devin Pastoor <devin.pastoor@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-07 15:40:16 UTC

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New package kcopula with initial version 0.1.0
Package: kcopula
Title: The Bivariate K-Copula
Version: 0.1.0
Authors@R: person("Marcel", "Kremer", role = c("aut", "cre"), email = "marcel.kremer@uni-due.de", comment = c(ORCID = "0000-0001-9130-7670"))
Description: Provides the density and distribution function of the bivariate K-copula by Wollschläger and Schäfer (2016) <doi:10.21314/JOR.2016.342>.
License: GPL-3
URL: https://github.com/mlkremer/kcopula
BugReports: https://github.com/mlkremer/kcopula/issues
Depends: R (>= 3.6.0)
Imports: pracma (>= 2.2.9)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-04-07 07:30:30 UTC; marcel
Author: Marcel Kremer [aut, cre] (<https://orcid.org/0000-0001-9130-7670>)
Maintainer: Marcel Kremer <marcel.kremer@uni-due.de>
Repository: CRAN
Date/Publication: 2020-04-07 16:00:02 UTC

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New package ipify with initial version 0.2.0
Type: Package
Package: ipify
Version: 0.2.0
Title: Query the Ipify Service
Description: Query the ipify service (<https://www.ipify.org>) to retrieve this machine's public IP address.
Authors@R: person("Greg", "Ceccarelli", email = "gregce@gmail.com", role = c("aut", "cre"))
Encoding: UTF-8
Depends: R (>= 3.1.2)
Imports: methods, httr
Suggests: covr, testthat, knitr
LazyData: yes
License: MIT + file LICENSE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2020-04-06 17:05:29 UTC; gdc
Author: Greg Ceccarelli [aut, cre]
Maintainer: Greg Ceccarelli <gregce@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-07 15:40:11 UTC

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New package interactionR with initial version 0.1.0
Package: interactionR
Type: Package
Title: A Package for Full Reporting of Interaction Analyses
Version: 0.1.0
Author: Babatunde Alli
Maintainer: Babatunde Alli <babatunde.alli@mail.mcgill.ca>
Description: Produces a publication-ready table that includes all effect estimates necessary for full reporting effect modification and interaction analysis as recommended by Knol and Vanderweele (2012) [<doi:10.1093/ije/dyr218>]. It also estimates confidence interval for the trio of additive interaction measures using the delta method (see Hosmer and Lemeshow (1992), [<doi:10.1097/00001648-199209000-00012>]), variance recovery method (see Zou (2008), [<doi:10.1093/aje/kwn104>]), or percentile bootstrapping (see Assmann et al. (1996), [<doi:10.1097/00001648-199605000-00012>]).
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Imports: msm, car, huxtable, officer, flextable
RoxygenNote: 7.1.0
URL: https://github.com/epi-zen/interactionR
BugReports: https://github.com/epi-zen/interactionR/issues
Suggests: testthat (>= 2.1.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-04-06 21:42:14 UTC; tunsm
Repository: CRAN
Date/Publication: 2020-04-07 15:40:13 UTC

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New package HadamardR with initial version 1.0.0
Package: HadamardR
Type: Package
Title: Hadamard Matrix Generation
Version: 1.0.0
Authors@R: c(person("Appavoo", "Dhandapani",email=c("dhandapani.appavoo@gmail.com","dhandapani@naarm.org.in"), role=c("aut","cre"),comment=c(ORCID="0000-0001-7436-2723")),person("Revan", "Siddesha",role= "aut"))
Maintainer: Appavoo Dhandapani <dhandapani.appavoo@gmail.com>
Description: Generates Hadamard matrices using different construction methods. For those who want to generate Hadamard matrix, a generic function, Hadamard_matrix() is provided. For those who want to generate Hadamard matrix using a particular method, separate functions are available. See Horadam (2007, ISBN:9780691119212) Hadamard Matrices and their applications, Princeton University Press for more information on Hadamard Matrices.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: numbers, openxlsx
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-04-06 16:23:21 UTC; Dhandapani
Author: Appavoo Dhandapani [aut, cre] (<https://orcid.org/0000-0001-7436-2723>), Revan Siddesha [aut]
Repository: CRAN
Date/Publication: 2020-04-07 15:10:06 UTC

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Package geojsonio updated to version 0.9.2 with previous version 0.9.0 dated 2020-02-13

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between geojsonio versions 0.9.0 dated 2020-02-13 and 0.9.2 dated 2020-04-07

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 geojsonio-0.9.2/geojsonio/tests/testthat/test-topojson_read.R   |   10 
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New package fragility with initial version 1.0
Package: fragility
Type: Package
Title: Assessing and Visualizing Fragility of Clinical Results with Binary Outcomes
Version: 1.0
Date: 2020-04-06
Authors@R: c(person(given = "Lifeng", family = "Lin", role = c("aut", "cre"), email = "linl@stat.fsu.edu", comment = c(ORCID = "0000-0002-3562-9816")), person(given = "Haitao", family = "Chu", role = c("aut"), email = "chux0051@umn.edu", comment = c(ORCID = "0000-0003-0932-598X")))
Maintainer: Lifeng Lin <linl@stat.fsu.edu>
Depends: R (>= 3.5.0)
Imports: graphics (>= 3.5.0), grDevices (>= 3.5.0), metafor (>= 2.0-0), netmeta (>= 1.0-0), plotrix (>= 3.7-5), stats (>= 3.5.0)
Description: A collection of user-friendly functions for assessing and visualizing fragility of individual studies (Walsh et al., 2014) <doi:10.1016/j.jclinepi.2013.10.019>, conventional pairwise meta-analyses (Atal et al., 2019) <doi:10.1016/j.jclinepi.2019.03.012>, and network meta-analyses of multiple treatments with binary outcomes. The included functions are designed to: 1) calculate the fragility index (i.e., the minimal event status modifications that can alter the significance or non-significance of the original result) and fragility quotient (i.e., fragility index divided by sample size) at a specific significance level; 2) give the cases of event status modifications for altering the result's significance or non-significance and visualize these cases; 3) visualize the trend of statistical significance as event status is modified; 4) efficiently derive fragility indexes and fragility quotients at multiple significance levels, and visualize the relationship between these fragility measures against the significance levels; and 5) calculate fragility indexes and fragility quotients of multiple datasets (e.g., a collection of clinical trials or meta-analyses) and produce plots of their overall distributions. The outputs from these functions may inform the robustness of clinical results in terms of statistical significance and aid the interpretation of fragility measures.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-04-06 15:34:05 UTC; Lifeng Lin
Author: Lifeng Lin [aut, cre] (<https://orcid.org/0000-0002-3562-9816>), Haitao Chu [aut] (<https://orcid.org/0000-0003-0932-598X>)
Repository: CRAN
Date/Publication: 2020-04-07 15:10:02 UTC

More information about fragility at CRAN
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New package binGroup2 with initial version 1.0.2
Package: binGroup2
Type: Package
Title: Identification and Estimation using Group Testing
Version: 1.0.2
Date: 2020-04-06
Authors@R: c(person("Brianna", "Hitt", role=c("aut", "cre"), email="brianna.hitt@huskers.unl.edu", comment=c(ORCID="0000-0002-0645-0067")), person("Christopher", "Bilder", role="aut", comment=c(ORCID="0000-0002-2848-8576")), person("Frank", "Schaarschmidt", role="aut", comment=c(ORCID="0000-0002-6599-3803")), person("Brad", "Biggerstaff", role="aut", comment=c(ORCID="0000-0002-3105-3530")), person("Christopher", "McMahan", role="aut", comment=c(ORCID="0000-0001-5056-9615")), person("Joshua", "Tebbs", role="aut", comment=c(ORCID="0000-0002-6762-7241")), person("Boan", "Zhang", role="ctb"), person("Michael", "Black", role="ctb"), person("Peijie", "Hou", role="ctb"), person("Peng", "Chen", role="ctb"))
Maintainer: Brianna Hitt <brianna.hitt@huskers.unl.edu>
Description: Methods for the group testing identification problem: 1) Operating characteristics (e.g., expected number of tests) for commonly used hierarchical and array-based algorithms, and 2) Optimal testing configurations for these same algorithms. Calculations for algorithms with single-disease assays are described in Hitt et al. (2019) <doi:10.1002/sim.8341> and with multiplex assays are described in Bilder et al. (2019) <doi:10.1111/biom.12988> and Hou et al. (2020) <doi:10.1093/biostatistics/kxy058>. Methods for the group testing estimation problem: 1) Estimation and inference procedures for an overall prevalence, and 2) Regression modeling for commonly used hierarchical and array-based algorithms. Estimation and confidence interval methods are described in Biggerstaff (2008) <doi:10.1198/108571108X379055> and Hepworth & Biggerstaff (2017) <doi:10.1007/s13253-017-0297-2>. Regression modeling is described in Xie (2001) <doi:10.1002/sim.817>.
Imports: graphics, grDevices, partitions, rBeta2009, Rcpp (>= 1.0.0), Rdpack, stats, utils
RdMacros: Rdpack
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-04-07 04:50:07 UTC; bhitt
Author: Brianna Hitt [aut, cre] (<https://orcid.org/0000-0002-0645-0067>), Christopher Bilder [aut] (<https://orcid.org/0000-0002-2848-8576>), Frank Schaarschmidt [aut] (<https://orcid.org/0000-0002-6599-3803>), Brad Biggerstaff [aut] (<https://orcid.org/0000-0002-3105-3530>), Christopher McMahan [aut] (<https://orcid.org/0000-0001-5056-9615>), Joshua Tebbs [aut] (<https://orcid.org/0000-0002-6762-7241>), Boan Zhang [ctb], Michael Black [ctb], Peijie Hou [ctb], Peng Chen [ctb]
Repository: CRAN
Date/Publication: 2020-04-07 16:00:06 UTC

More information about binGroup2 at CRAN
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Package tramME updated to version 0.0.2 with previous version 0.0.1 dated 2020-03-21

Title: Transformation Models with Mixed Effects
Description: Likelihood-based estimation of mixed-effects transformation models using the Template Model Builder (TMB). The technical details of transformation models are given in Hothorn et al. (2018) <doi:10.1111/sjos.12291>. The random effects are assumed to be normally distributed on the scale of the transformation function, the marginal likelihood is evaluated using the Laplace approximation, and the gradients are calculated with automatic differentiation (AD).
Author: Balint Tamasi [aut, cre], Torsten Hothorn [ctb] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Balint Tamasi <balint.tamasi@uzh.ch>

Diff between tramME versions 0.0.1 dated 2020-03-21 and 0.0.2 dated 2020-04-07

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More information about tramME at CRAN
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Package spsur updated to version 1.0.1.3 with previous version 1.0.0.4 dated 2019-12-12

Title: Spatial Seemingly Unrelated Regression Models
Description: A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Mur, J., Lopez, F., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>.
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Maintainer: Roman Minguez <roman.minguez@uclm.es>

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More information about spsur at CRAN
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Package rsdmx updated to version 0.5-14 with previous version 0.5-13 dated 2018-09-21

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>), Matthieu Stigler [ctb], Eric Persson [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between rsdmx versions 0.5-13 dated 2018-09-21 and 0.5-14 dated 2020-04-07

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 69 files changed, 674 insertions(+), 627 deletions(-)

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New package rgho with initial version 2.0.0
Package: rgho
Title: Access WHO Global Health Observatory Data from R
Version: 2.0.0
Author: Antoine Filipovic-Pierucci [aut,cre]
Maintainer: Kevin Zarca <kevin.zarca@gmail.com>
Description: Access WHO Global Health Observatory (<http://www.who.int/gho/>) data from R via the Athena web service (<http://apps.who.int/gho/data/node.resources.api>), an application program interface providing a simple query interface to the World Health Organization's data and statistics content.
License: GPL (>= 3)
LazyData: TRUE
Depends: R (>= 3.2.2)
Imports: curl, dplyr, httr, jsonlite, lazyeval, magrittr, memoise, readr, tibble, tidyr
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.1
URL: https://github.com/kzarca/rgho
BugReports: https://github.com/pierucci/rgho/issues
NeedsCompilation: no
Packaged: 2020-04-04 13:40:34 UTC; kevin
Repository: CRAN
Date/Publication: 2020-04-07 14:40:02 UTC

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Package powerMediation updated to version 0.3.2 with previous version 0.2.9 dated 2018-02-07

Title: Power/Sample Size Calculation for Mediation Analysis
Description: Functions to calculate power and sample size for testing (1) mediation effects; (2) the slope in a simple linear regression; (3) odds ratio in a simple logistic regression; (4) mean change for longitudinal study with 2 time points; (5) interaction effect in 2-way ANOVA; and (6) the slope in a simple Poisson regression.
Author: Weiliang Qiu <weiliang.qiu@gmail.com>
Maintainer: Weiliang Qiu <weiliang.qiu@gmail.com>

Diff between powerMediation versions 0.2.9 dated 2018-02-07 and 0.3.2 dated 2020-04-07

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New package mpMap2 with initial version 1.0.2
Package: mpMap2
Type: Package
Title: Genetic Analysis of Multi-Parent Recombinant Inbred Lines
Version: 1.0.2
Date: 2020-04-06
Author: Rohan Shah [aut, cre], Emma Huang [aut], Matthew Morell [ctb], Alex Whan [ctb], Colin Cavanagh [ctb]
Authors@R: c(person("Rohan", "Shah", role = c("aut", "cre"), email = "cran@bookshah.com"), person("Emma", "Huang", role = c("aut")), person("Matthew", "Morell", role = "ctb"), person("Alex", "Whan", role = "ctb"), person("Colin", "Cavanagh", role = "ctb"))
Maintainer: Rohan Shah <cran@bookshah.com>
Description: Constructing linkage maps, reconstructing haplotypes, estimating linkage disequilibrium and quantitative trait loci (QTL) mapping in multi-parent Recombinant Inbred Lines designs.
License: GPL-2
SystemRequirements: C++11
LazyLoad: yes
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, gridExtra, Heatplus
Imports: ggplot2, Matrix, methods, qtl, igraph, fastcluster, pryr, nnls, RColorBrewer, jsonlite, progress, stats, sn, car
RoxygenNote: 7.0.2
Collate: 'Pillai.R' 'Rcpp_exceptions.R' 'map-class.R' 'addExtraMarkerFromRawCall.R' 'addExtraMarkers.R' 'canSkipValidity.R' 'pedigree-class.R' 'hetData-class.R' 'geneticData-class.R' 'lg-class.R' 'rawSymmetricMatrix.R' 'rf-class.R' 'mpcross-class.R' 'additionOperators.R' 'as.mpInterval.R' 'assignFounderPattern.R' 'assignFounderPatternPrototype.R' 'backcrossPedigree.R' 'biparentalDominant.R' 'callFromMap.R' 'changeMarkerPosition.R' 'combineGenotypes.R' 'combineKeepRF.R' 'compressedProbabilities.R' 'computeAllEpistaticChiSquared.R' 'computeGenotypeProbabilities.R' 'createSNPTemplate.R' 'detailedPedigree-class.R' 'eightWayPedigreeImproperFunnels.R' 'eightWayPedigreeRandomFunnels.R' 'eightWayPedigreeSingleFunnel.R' 'estimateMap.R' 'estimateMapFromImputation.R' 'estimateRF.R' 'estimateRFSingleDesign.R' 'expand.R' 'expandedProbabilities.R' 'exportMapToPretzl.R' 'extraImputationPoints.R' 'f2Pedigree.R' 'finals.R' 'fixedNumberOfFounderAlleles.R' 'formGroups.R' 'founders.R' 'fourParentPedigreeRandomFunnels.R' 'fourParentPedigreeSingleFunnel.R' 'fullHetData.R' 'generateGridPositions.R' 'generateIntervalMidPoints.R' 'getAllFunnels.R' 'getChromosomes.R' 'getIntercrossingAndSelfingGenerations.R' 'getPositions.R' 'hetData.R' 'identC.R' 'imputationGenerics.R' 'impute.R' 'imputeFounders.R' 'jitterMap.R' 'lineNames.R' 'listCodingErrors.R' 'mapFunctions.R' 'markers.R' 'mpcross.R' 'multiparentSNP.R' 'multiparentSNPPrototype.R' 'nFounders.R' 'nLines.R' 'nMarkers.R' 'num_threads.R' 'orderCross.R' 'pedigree.R' 'pedigreeGraph-class.R' 'pedigreeGraph.R' 'pedigreeToGraph.R' 'plot.R' 'plotMosaic.R' 'plotProbabilities.R' 'print.R' 'probabilityData.R' 'purdyToPedigree.R' 'redact.R' 'removeHets.R' 'reorderPedigree.R' 'reverseChromosomes.R' 'rilPedigree.R' 'roxygen.R' 'selfing.R' 'show.R' 'simulateMPCross.R' 'simulatePhenotypes.R' 'singleLocusProbabilities.R' 'sixteenParentPedigreeRandomFunnels.R' 'stripPedigree.R' 'subset.R' 'testDistortion.R' 'toMpMap.R' 'transposeProbabilities.R' 'twoParentPedigree.R' 'validation.R'
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-04-06 10:56:26 UTC; rshah
Repository: CRAN
Date/Publication: 2020-04-07 15:00:14 UTC

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New package metapower with initial version 0.1.0
Package: metapower
Type: Package
Title: Power Analysis for Meta-Analysis
Version: 0.1.0
Authors@R: person("Jason", "Griffin", email = "jasongriffin138@gmail.com", role = c("aut", "cre"))
Description: A simple and effective tool for computing meta-analytic statistical power for main effects, tests of homogeneity, and categorical moderator models. All equations are described in Pigott (2012) <doi:10.1007/978-1-4614-2278-5>, Hedges & Pigott (2004) <doi:10.1037/1082-989X.9.4.426>, and Borenstein, Hedges, Higgins, & Rothstein (2009) <doi:10.1002/9780470743386>.
Depends: R (>= 3.6)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: cowplot (>= 1.0.0), dplyr (>= 0.8.5), ggplot2 (>= 3.3.0), knitr (>= 1.28), magrittr (>= 1.5), tidyr (>= 1.0.2), testthat (>= 2.3.2), rmarkdown (>= 2.1), rlang (>= 0.4.5)
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-06 14:22:05 UTC; jason
Author: Jason Griffin [aut, cre]
Maintainer: Jason Griffin <jasongriffin138@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-07 14:50:02 UTC

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New package J4R with initial version 1.0.6
Package: J4R
Type: Package
Title: Create 'Java' Objects and Execute 'Java' Methods
Version: 1.0.6
Authors@R: person("Mathieu", "Fortin", role = c("aut","cre","cph"), email = "mathieu.fortin.re@gmail.com")
Maintainer: Mathieu Fortin <mathieu.fortin.re@gmail.com>
Description: Makes it possible to create 'Java' objects and to execute 'Java' methods from the 'R' environment. The 'Java' Virtual Machine is handled by a gateway server. Commands are sent to the server through a socket connection from the 'R' environment. Calls to 'Java' methods allow for vectors so that a particular method is iteratively run on each element of the vector. A score algorithm also makes the calls to 'Java' methods less restrictive. The gateway server relies on the runnable 'Java' library 'j4r.jar'. This library is licensed under the LGPL-3. Its sources are included in this package. To start the gateway server, 'Java' must be part of the path.
URL: https://sourceforge.net/p/repiceasource/wiki/J4R/
Imports: utils (>= 3.4.4)
License: GPL-3
BugReports: https://sourceforge.net/p/repiceasource/tickets/
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
SystemRequirements: Java
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-04-06 12:39:39 UTC; donenrique
Author: Mathieu Fortin [aut, cre, cph]
Repository: CRAN
Date/Publication: 2020-04-07 14:50:08 UTC

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New package idefix with initial version 0.4.3
Package: idefix
Type: Package
Title: Efficient Designs for Discrete Choice Experiments
Version: 0.4.3
Authors@R: c( person("Frits", "Traets", email = "frits.traets@kuleuven.be", role = c("aut", "cre")), person("Daniel", "Gil", email = "danielgils@gmail.com", role = "ctb"))
Maintainer: Frits Traets <frits.traets@kuleuven.be>
Description: Generates efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted designs for the mixed multinomial logit model. The generated designs can be presented on screen and choice data can be gathered using a shiny application. Crabbe M, Akinc D and Vandebroek M (2014) <doi:10.1016/j.trb.2013.11.008>.
License: GPL-3
Depends: R (>= 3.1.1), shiny
LazyData: TRUE
ByteCompile: TRUE
Imports: dplyr, MASS, mlogit, parallel, Rcpp (>= 0.12.18), Rdpack, stats, scales, tmvtnorm, utils
RoxygenNote: 6.1.1
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
URL: https://github.com/traets/idefix
Suggests: testthat
NeedsCompilation: yes
Packaged: 2020-04-07 11:51:21 UTC; u0105757
Author: Frits Traets [aut, cre], Daniel Gil [ctb]
Repository: CRAN
Date/Publication: 2020-04-07 14:40:05 UTC

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Package gsheet updated to version 0.4.5 with previous version 0.4.2 dated 2016-12-30

Title: Download Google Sheets Using Just the URL
Description: Simple package to download Google Sheets using just the sharing link. Spreadsheets can be downloaded as a data frame, or as plain text to parse manually. Google Sheets is the new name for Google Docs Spreadsheets <https://www.google.com/sheets/about>.
Author: Max Conway [aut, cre]
Maintainer: Max Conway <conway.max1@gmail.com>

Diff between gsheet versions 0.4.2 dated 2016-12-30 and 0.4.5 dated 2020-04-07

 DESCRIPTION                   |   13 +++++++------
 MD5                           |   12 ++++++------
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 man/construct_download_url.Rd |    1 -
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 7 files changed, 23 insertions(+), 17 deletions(-)

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New package groupWQS with initial version 0.0.1
Package: groupWQS
Type: Package
Title: Group Weighted Quantile Sum Regression
Version: 0.0.1
Author: David Wheeler, Matthew Carli
Maintainer: Matthew Carli <carlimm@mymail.vcu.edu>
Description: Fits weighted quantile sum (WQS) regressions for one or more chemical groups with continuous or binary outcomes. Wheeler D, Czarnota J.(2016) <doi:10.1289/isee.2016.4698>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 3.2.1)
Imports: Rsolnp, glm2, stats
NeedsCompilation: no
Packaged: 2020-04-05 21:33:43 UTC; Matt Carli
Repository: CRAN
Date/Publication: 2020-04-07 14:50:05 UTC

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New package EWS with initial version 0.1.0
Package: EWS
Type: Package
Title: Early Warning System
Version: 0.1.0
Authors@R: c( person("Quentin", "Lajaunie", email = "quentin_lajaunie@hotmail.fr", role = "cre"), person("Jean-Baptiste", "Hasse", email = "jb-hasse@hotmail.fr", role = "aut"))
Description: Early Warning Systems (EWS) are a toolbox for policymakers to prevent or attenuate the impact of economic downturns. Modern EWS are based on the econometric framework of Kauppi and Saikkonen (2008) <doi:10.1162/rest.90.4.777>. Specifically, this framework includes four dichotomous models, relying on a logit approach to model the relationship between yield spreads and future recessions, controlling for recession risk factors. These models can be estimated in a univariate or a balanced panel framework as in Candelon, Dumitrescu and Hurlin (2014) <doi:10.1016/j.ijforecast.2014.03.015>. This package provides both methods for estimating these models and a dataset covering 13 OECD countries over a period of 45 years. This package constitutes a useful toolbox (data and functions) for scholars as well as policymakers.
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: numDeriv
NeedsCompilation: no
Packaged: 2020-04-06 14:46:25 UTC; quentin
Author: Quentin Lajaunie [cre], Jean-Baptiste Hasse [aut]
Maintainer: Quentin Lajaunie <quentin_lajaunie@hotmail.fr>
Repository: CRAN
Date/Publication: 2020-04-07 15:00:22 UTC

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New package eatDB with initial version 0.4.0
Package: eatDB
Type: Package
Title: Spreadsheet Interface for Relational Databases
Version: 0.4.0
Authors@R: person("Benjamin", "Becker", email = "b.becker@iqb.hu-berlin.de", role = c("aut", "cre"))
Description: Use 'SQLite3' as a database system via a complete SQL free R interface, treating the data as if it was a single spreadsheet.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: DBI, RSQLite
RoxygenNote: 7.1.0
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-04-06 14:52:43 UTC; beckerbz
Author: Benjamin Becker [aut, cre]
Maintainer: Benjamin Becker <b.becker@iqb.hu-berlin.de>
Repository: CRAN
Date/Publication: 2020-04-07 15:00:19 UTC

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Package forestmangr updated to version 0.9.2 with previous version 0.9.1 dated 2019-01-02

Title: Forest Mensuration and Management
Description: Processing forest inventory data with methods such as simple random sampling, stratified random sampling and systematic sampling. There are also functions for yield and growth predictions and model fitting, linear and nonlinear grouped data fitting, and statistical tests. References: Kershaw Jr., Ducey, Beers and Husch (2016). <doi:10.1002/9781118902028>.
Author: Sollano Rabelo Braga [aut, cre, cph], Marcio Leles Romarco de Oliveira [aut], Eric Bastos Gorgens [aut]
Maintainer: Sollano Rabelo Braga <sollanorb@gmail.com>

Diff between forestmangr versions 0.9.1 dated 2019-01-02 and 0.9.2 dated 2020-04-07

 DESCRIPTION                        |   20 
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 NAMESPACE                          |    2 
 NEWS.md                            |   28 
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 man/npv_irr.Rd                     |  115 +--
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 vignettes/invent_vol_plot_ptbr.Rmd |    1 
 vignettes/sampling_en.Rmd          |    4 
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 118 files changed, 6419 insertions(+), 6100 deletions(-)

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New package nmaINLA with initial version 0.2.0
Package: nmaINLA
Type: Package
Title: Network Meta-Analysis using Integrated Nested Laplace Approximations
Version: 0.2.0
Date: 2020-04-03
Authors@R: c(person("Burak Kuersad", "Guenhan", email="burak.gunhan@med.uni-goettingen.de", role=c("aut", "cre"), comment = c(ORCID = "0000-0002-7454-8680")))
Description: Performs network meta-analysis using integrated nested Laplace approximations ('INLA') which is described in Guenhan, Held, and Friede (2018) <doi:10.1002/jrsm.1285>. Includes methods to assess the heterogeneity and inconsistency in the network. Contains more than ten different network meta-analysis data. 'INLA' package can be obtained from <http://www.r-inla.org>. We recommend the testing version.
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 2.10)
Additional_repositories: https://inla.r-inla-download.org/R/stable/
RoxygenNote: 6.0.1
Suggests: INLA, knitr, testthat
VignetteBuilder: knitr
URL: https://github.com/gunhanb/nmaINLA
BugReports: https://github.com/gunhanb/nmaINLA/issues
NeedsCompilation: no
Packaged: 2020-04-07 08:39:34 UTC; burakgunhan
Author: Burak Kuersad Guenhan [aut, cre] (<https://orcid.org/0000-0002-7454-8680>)
Maintainer: Burak Kuersad Guenhan <burak.gunhan@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2020-04-07 12:10:02 UTC

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Package JGR updated to version 1.8-7 with previous version 1.8-6 dated 2018-07-12

Title: Java GUI for R
Description: Java GUI for R - cross-platform, universal and unified Graphical User Interface for R. For full functionality on Windows and Mac OS X JGR requires a start application which depends on your OS.
Author: Markus Helbig <mhelbig81@googlemail.com>, Simon Urbanek, Ian Fellows
Maintainer: Markus Helbig <mhelbig81@googlemail.com>

Diff between JGR versions 1.8-6 dated 2018-07-12 and 1.8-7 dated 2020-04-07

 DESCRIPTION       |   16 ++++++++--------
 MD5               |    8 ++++----
 NEWS              |    5 +++++
 R/JGR.R           |    2 +-
 inst/java/JGR.jar |binary
 5 files changed, 18 insertions(+), 13 deletions(-)

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New package densitr with initial version 0.1.0
Package: densitr
Title: Analysing Density Profiles from Resistance Drilling of Trees
Version: 0.1.0
Authors@R: c( person(given = "Luka", family = "Krajnc", role = c("aut", "cre"), email = "luka.krajnc@gozdis.si", comment = c(ORCID = "0000-0002-3120-559X")), person(given = "Stasia", family = "Grinberg", role = c("ctb")))
Description: Provides various tools for analysing density profiles obtained by resistance drilling. It can load individual or multiple files and trim the starting and ending part of each density profile. Tools are also provided to trim profiles manually, to remove the trend from measurements using several methods, to plot the profiles and to detect tree rings automatically. Written with a focus on forestry use of resistance drilling in standing trees.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/krajnc/densitr
BugReports: https://github.com/krajnc/densitr/issues
LazyData: true
Imports: stats, utils, changepoint (>= 2.2.2)
Suggests: pbapply, mgcv, knitr, rmarkdown, testthat
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-04-06 09:11:18 UTC; lukak@gozdis.si
Author: Luka Krajnc [aut, cre] (<https://orcid.org/0000-0002-3120-559X>), Stasia Grinberg [ctb]
Maintainer: Luka Krajnc <luka.krajnc@gozdis.si>
Repository: CRAN
Date/Publication: 2020-04-07 12:50:02 UTC

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New package btergm with initial version 1.9.7
Package: btergm
Version: 1.9.7
Date: 2020-04-06
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: http://github.com/leifeld/btergm
Encoding: UTF-8
Imports: stats4, utils, methods, graphics, network (>= 1.13.0), sna (>= 2.3.2), ergm (>= 3.10.0), 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: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-07 10:54:27 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: 2020-04-07 12:20:02 UTC

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New package VUROCS with initial version 1.0
Package: VUROCS
Type: Package
Title: Volume under the ROC Surface for Multi-Class ROC Analysis
Version: 1.0
Date: 2020-04-03
Authors@R: c( person("Hannes", "Kazianka", email = "hkazianka@gmail.com", role = c("cre","aut")), person("Anna", "Morgenbesser", email = "anna.morgenbesser@oenb.at", role = "aut"), person("Thomas", "Nowak", email = "thomas.nowak@oenb.at", role = "aut"))
Description: Calculates the volume under the ROC surface and its (co)variance for ordered multi-class ROC analysis as well as certain bivariate ordinal measures of association.
License: GPL-3
Imports: Rcpp, doParallel, foreach
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-04-05 21:37:59 UTC; Hannes
Author: Hannes Kazianka [cre, aut], Anna Morgenbesser [aut], Thomas Nowak [aut]
Maintainer: Hannes Kazianka <hkazianka@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-07 11:50:06 UTC

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Package spbabel updated to version 0.5.1 with previous version 0.5.0 dated 2019-01-08

Title: Convert Spatial Data Using Tidy Tables
Description: Tools to convert from specific formats to more general forms of spatial data. Using tables to store the actual entities present in spatial data provides flexibility, and the functions here deliberately minimize the level of interpretation applied, leaving that for specific applications. Includes support for simple features, round-trip for 'Spatial' classes and long-form tables, analogous to 'ggplot2::fortify'. There is also a more 'normal form' representation that decomposes simple features and their kin to tables of objects, parts, and unique coordinates.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

Diff between spbabel versions 0.5.0 dated 2019-01-08 and 0.5.1 dated 2020-04-07

 spbabel-0.5.0/spbabel/inst/doc/sfbabel.R                |only
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 spbabel-0.5.1/spbabel/NEWS.md                           |    6 
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 spbabel-0.5.1/spbabel/R/utils.r                         |   30 +-
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 spbabel-0.5.1/spbabel/tests/testthat/test-utils.R       |   10 
 spbabel-0.5.1/spbabel/vignettes/spbabel.Rmd             |    2 
 26 files changed, 285 insertions(+), 280 deletions(-)

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New package czso with initial version 0.2.3
Package: czso
Title: Use Open Data from the Czech Statistical Office in R
Version: 0.2.3
Authors@R: person(given = "Petr", family = "Bouchal", role = c("aut", "cre"), email = "pbouchal@gmail.com", comment = c(ORCID = "0000-0002-0471-716X"))
Description: Get programmatic access to the open data provided by the Czech Statistical Office (CZSO, <https://czso.cz>).
License: MIT + file LICENSE
URL: https://github.com/petrbouchal/czso
BugReports: https://github.com/petrbouchal/czso/issues
Imports: curl (>= 4.3), dplyr (>= 0.8.3), httr (>= 1.4.1), jsonlite (>= 1.6), lifecycle, magrittr, readr (>= 1.3.1), rlang (>= 0.4.4), stringi (>= 1.4.4), stringr (>= 1.4.0), tibble (>= 2.1.3), tools (>= 3.6.0), usethis (>= 1.5.1), utils (>= 3.6.0)
RdMacros: lifecycle
Encoding: UTF-8
Language: en
LazyData: true
RoxygenNote: 7.0.0
NeedsCompilation: no
Packaged: 2020-04-05 22:22:13 UTC; petr
Author: Petr Bouchal [aut, cre] (<https://orcid.org/0000-0002-0471-716X>)
Maintainer: Petr Bouchal <pbouchal@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-07 12:00:02 UTC

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Package classInt updated to version 0.4-3 with previous version 0.4-2 dated 2019-10-17

Title: Choose Univariate Class Intervals
Description: Selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.
Author: Roger Bivand [aut, cre] (<https://orcid.org/0000-0003-2392-6140>), Hisaji Ono [ctb], Richard Dunlap [ctb], Matthieu Stigler [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Diego Hernangómez [ctb] (<https://orcid.org/0000-0001-8457-4658>)
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between classInt versions 0.4-2 dated 2019-10-17 and 0.4-3 dated 2020-04-07

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New package lme4 with initial version 1.1-23
Package: lme4
Version: 1.1-23
Title: Linear Mixed-Effects Models using 'Eigen' and S4
Authors@R: c( person("Douglas","Bates", role="aut", comment=c(ORCID="0000-0001-8316-9503")), person("Martin","Maechler", role="aut", comment=c(ORCID="0000-0002-8685-9910")), person("Ben","Bolker",email="bbolker+lme4@gmail.com", role=c("aut","cre"), comment=c(ORCID="0000-0002-2127-0443")), person("Steven","Walker",role="aut", comment=c(ORCID="0000-0002-4394-9078")), person("Rune Haubo Bojesen","Christensen", role="ctb", comment=c(ORCID="0000-0002-4494-3399")), person("Henrik","Singmann", role="ctb", comment=c(ORCID="0000-0002-4842-3657")), person("Bin", "Dai", role="ctb"), person("Fabian", "Scheipl", role="ctb", comment=c(ORCID="0000-0001-8172-3603")), person("Gabor", "Grothendieck", role="ctb"), person("Peter", "Green", role="ctb", comment=c(ORCID="0000-0002-0238-9852")), person("John", "Fox", role="ctb") )
Contact: LME4 Authors <lme4-authors@lists.r-forge.r-project.org>
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Depends: R (>= 3.2.0), Matrix (>= 1.2-1), methods, stats
LinkingTo: Rcpp (>= 0.10.5), RcppEigen
Imports: graphics, grid, splines, utils, parallel, MASS, lattice, boot, nlme (>= 3.1-123), minqa (>= 1.1.15), nloptr (>= 1.0.4), statmod
Suggests: knitr, rmarkdown, PKPDmodels, MEMSS, testthat (>= 0.8.1), ggplot2, mlmRev, optimx (>= 2013.8.6), gamm4, pbkrtest, HSAUR2, numDeriv, car, dfoptim
VignetteBuilder: knitr
LazyData: yes
License: GPL (>= 2)
URL: https://github.com/lme4/lme4/
BugReports: https://github.com/lme4/lme4/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-04-06 00:39:09 UTC; bolker
Author: Douglas Bates [aut] (<https://orcid.org/0000-0001-8316-9503>), Martin Maechler [aut] (<https://orcid.org/0000-0002-8685-9910>), Ben Bolker [aut, cre] (<https://orcid.org/0000-0002-2127-0443>), Steven Walker [aut] (<https://orcid.org/0000-0002-4394-9078>), Rune Haubo Bojesen Christensen [ctb] (<https://orcid.org/0000-0002-4494-3399>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>), Bin Dai [ctb], Fabian Scheipl [ctb] (<https://orcid.org/0000-0001-8172-3603>), Gabor Grothendieck [ctb], Peter Green [ctb] (<https://orcid.org/0000-0002-0238-9852>), John Fox [ctb]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-07 10:00:21 UTC

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New package ecodist with initial version 2.0.5
Package: ecodist
Version: 2.0.5
Date: 2020-04-02
Title: Dissimilarity-Based Functions for Ecological Analysis
Authors@R: c(person("Sarah", "Goslee", role = c("aut", "cre"), email = "Sarah.Goslee@usda.gov"), person("Dean", "Urban", role = "aut"))
Author: Sarah Goslee [aut, cre], Dean Urban [aut]
Maintainer: Sarah Goslee <Sarah.Goslee@usda.gov>
Depends: R (>= 3.0.0)
LazyData: true
Imports: stats, graphics
Suggests: knitr, testthat
VignetteBuilder: knitr
Description: Dissimilarity-based analysis functions including ordination and Mantel test functions, intended for use with spatial and community data. The original package description is in Goslee and Urban (2007) <doi:10.18637/jss.v022.i07>, with further statistical detail in Goslee (2010) <doi:10.1007/s11258-009-9641-0>.
License: GPL (>= 2)
BugReports: https://github.com/phiala/ecodist/issues
NeedsCompilation: yes
Packaged: 2020-04-06 16:44:50 UTC; sarahg
Repository: CRAN
Date/Publication: 2020-04-07 10:00:28 UTC

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New package xergm.common with initial version 1.7.8
Package: xergm.common
Version: 1.7.8
Date: 2020-04-06
Title: Common Infrastructure for Extensions of Exponential Random Graph Models
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: Datasets and definitions of generic functions used in dependencies of the 'xergm' package.
URL: http://github.com/leifeld/xergm.common
Depends: R (>= 2.14.0), ergm (>= 3.5.1), network (>= 1.13.0)
Imports: methods, utils, stats
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-04-06 18:58:53 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: 2020-04-07 09:50:02 UTC

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Package wflo updated to version 1.3 with previous version 1.2 dated 2020-03-25

Title: Data Set and Helper Functions for Wind Farm Layout Optimization Problems
Description: Provides a convenient data set, a set of helper functions, and a benchmark function for economically (profit) driven wind farm layout optimization. This enables researchers in the field of the NP-hard (non-deterministic polynomial-time hard) problem of wind farm layout optimization to focus on their optimization methodology contribution and also provides a realistic benchmark setting for comparability among contributions.
Author: Carsten Croonenbroeck [aut, cre], David Hennecke [ctb]
Maintainer: Carsten Croonenbroeck <carsten.croonenbroeck@uni-rostock.de>

Diff between wflo versions 1.2 dated 2020-03-25 and 1.3 dated 2020-04-07

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Package stars updated to version 0.4-1 with previous version 0.4-0 dated 2019-10-10

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

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More information about stars at CRAN
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Package semantic.dashboard updated to version 0.1.5 with previous version 0.1.1 dated 2018-04-23

Title: Dashboard with Semantic UI Support for Shiny
Description: It offers functions for creating dashboard with Semantic UI.
Author: Filip Stachura [aut], Dominik Krzeminski [cre], Krystian Igras [ctb], Michał Maj [ctb], Appsilon Data Science [cph]
Maintainer: Dominik Krzeminski <dominik@appsilon.com>

Diff between semantic.dashboard versions 0.1.1 dated 2018-04-23 and 0.1.5 dated 2020-04-07

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More information about semantic.dashboard at CRAN
Permanent link

Package rnoaa updated to version 0.9.6 with previous version 0.9.5 dated 2019-11-20

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

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Package nimbleEcology updated to version 0.2.1 with previous version 0.2.0 dated 2020-02-21

Title: Distributions for Ecological Models in 'nimble'
Description: Common ecological distributions for 'nimble' models in the form of nimbleFunction objects. Includes Cormack-Jolly-Seber, occupancy, dynamic occupancy, hidden Markov, dynamic hidden Markov, and N-mixture models. (Jolly (1965) <doi:10.2307/2333826>, Seber (1965) <10.2307/2333827>, Turek et al. (2016) <doi:10.1007/s10651-016-0353-z>).
Author: Benjamin R. Goldstein [aut, cre], Daniel Turek [aut], Lauren Ponisio [aut], Perry de Valpine [aut]
Maintainer: Benjamin R. Goldstein <ben.goldstein@berkeley.edu>

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Package mapview updated to version 2.7.8 with previous version 2.7.0 dated 2019-05-13

Title: Interactive Viewing of Spatial Data in R
Description: Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images and bounding boxes.
Author: Tim Appelhans [cre, aut], Florian Detsch [aut], Christoph Reudenbach [aut], Stefan Woellauer [aut], Spaska Forteva [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Kenton Russell [ctb], Michael Sumner [ctb], Jochen Darley [ctb], Pierre Roudier [ctb], Patrick Schratz [ctb], Environmental Informatics Marburg [ctb], Lorenzo Busetto [ctb]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package EmpiricalCalibration updated to version 2.0.2 with previous version 2.0.1 dated 2020-01-13

Title: Routines for Performing Empirical Calibration of Observational Study Estimates
Description: Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account. A similar approach can be used to calibrate confidence intervals, using both negative and positive controls.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package bios2mds updated to version 1.2.3 with previous version 1.2.2 dated 2012-06-05

Title: From Biological Sequences to Multidimensional Scaling
Description: Utilities dedicated to the analysis of biological sequences by metric MultiDimensional Scaling with projection of supplementary data. It contains functions for reading multiple sequence alignment files, calculating distance matrices, performing metric multidimensional scaling and visualizing results.
Author: Julien Pele with Jean-Michel Becu, Rym Ben Boubaker, Herve Abdi, and Marie Chabbert
Maintainer: Marie Chabbert <marie.chabbert@univ-angers.fr>

Diff between bios2mds versions 1.2.2 dated 2012-06-05 and 1.2.3 dated 2020-04-07

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Package basket updated to version 0.10.2 with previous version 0.10.1 dated 2020-03-11

Title: Basket Trial Analysis
Description: Implementation of multisource exchangeability models for Bayesian analyses of prespecified subgroups arising in the context of basket trial design and monitoring. The R 'basket' package facilitates implementation of the binary, symmetric multi-source exchangeability model (MEM) with posterior inference arising from both exact computation and Markov chain Monte Carlo sampling. Analysis output includes full posterior samples as well as posterior probabilities, highest posterior density (HPD) interval boundaries, effective sample sizes (ESS), mean and median estimations, posterior exchangeability probability matrices, and maximum a posteriori MEMs. In addition to providing "basketwise" analyses, the package includes similar calculations for "clusterwise" analyses for which subgroups are combined into meta-baskets, or clusters, using graphical clustering algorithms that treat the posterior exchangeability probabilities as edge weights. In addition plotting tools are provided to visualize basket and cluster densities as well as their exchangeability. References include Hyman, D.M., Puzanov, I., Subbiah, V., Faris, J.E., Chau, I., Blay, J.Y., Wolf, J., Raje, N.S., Diamond, E.L., Hollebecque, A. and Gervais, R (2015) <doi:10.1056/NEJMoa1502309>; Hobbs, B.P. and Landin, R. (2018) <doi:10.1002/sim.7893>; Hobbs, B.P., Kane, M.J., Hong, D.S. and Landin, R. (2018) <doi:10.1093/annonc/mdy457>; and Kaizer, A.M., Koopmeiners, J.S. and Hobbs, B.P. (2017) <doi:10.1093/biostatistics/kxx031>.
Author: Nan Chen [aut], Brian Hobbs [aut], Alex Kaizer [aut], Michael J. Kane [aut, cre] (<https://orcid.org/0000-0003-1899-6662>)
Maintainer: Michael J. Kane <michael.kane@yale.edu>

Diff between basket versions 0.10.1 dated 2020-03-11 and 0.10.2 dated 2020-04-07

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New package aws.iam with initial version 0.1.8
Package: aws.iam
Title: AWS IAM Client Package
Version: 0.1.8
Authors@R: c(person("Thomas J.", "Leeper", role = "aut", email = "thosjleeper@gmail.com", comment = c(ORCID = "0000-0003-4097-6326")), person("Simon", "Urbanek", role = c("cre", "ctb"), email = "simon.urbanek@R-project.org") )
Description: A simple client for the Amazon Web Services ('AWS') Identity and Access Management ('IAM') 'API' <https://aws.amazon.com/iam/>.
License: GPL (>= 2)
Imports: utils, httr, xml2, jsonlite, aws.signature (>= 0.3.4)
URL: https://github.com/cloudyr/aws.iam
BugReports: https://github.com/cloudyr/aws.iam/issues
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-07 01:30:38 UTC; svnuser
Author: Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>), Simon Urbanek [cre, ctb]
Maintainer: Simon Urbanek <simon.urbanek@R-project.org>
Repository: CRAN
Date/Publication: 2020-04-07 09:50:16 UTC

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Package aplot updated to version 0.0.4 with previous version 0.0.3 dated 2020-03-30

Title: Decorate a 'ggplot' with Associated Information
Description: For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. This package provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package ecodist (with last version 2.0.3) was removed from CRAN

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

2019-12-19 2.0.3
2017-07-13 2.0.1
2013-12-03 1.2.9
2012-03-22 1.2.7
2011-09-29 1.2.5
2010-04-29 1.2.3
2008-12-15 1.2.2
2008-09-10 1.2.1
2008-09-09 1.1.5
2007-10-07 1.1.3
2007-06-11 1.1.2

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Package lme4 (with last version 1.1-21) was removed from CRAN

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

2019-03-05 1.1-21
2019-02-04 1.1-20
2018-11-10 1.1-19
2018-08-17 1.1-18-1
2018-04-03 1.1-17
2018-03-28 1.1-16
2017-12-21 1.1-15
2017-09-27 1.1-14
2017-04-19 1.1-13
2016-04-16 1.1-12
2016-02-12 1.1-11
2015-10-06 1.1-10
2015-08-20 1.1-9
2015-06-22 1.1-8
2014-07-03 1.1-7
2014-04-13 1.1-6
2014-03-14 1.1-5
2014-02-02 1.0-6
2013-10-25 1.0-5
2013-09-11 1.0-4
2013-04-15 0.999999-2
2012-06-23 0.999999-0
2011-10-04 0.999375-42
2011-08-09 0.999375-41
2011-07-23 0.999375-40
2011-03-08 0.999375-39
2011-02-17 0.999375-38
2010-11-10 0.999375-37
2010-10-23 0.999375-36
2010-08-19 0.999375-35
2010-06-29 0.999375-34
2010-04-02 0.999375-33
2009-10-20 0.999375-32
2009-05-24 0.999375-31
2009-05-12 0.999375-30
2008-12-14 0.999375-28
2008-09-28 0.999375-27
2008-08-26 0.999375-26
2008-08-14 0.999375-25
2008-08-06 0.999375-24
2008-07-29 0.999375-23
2008-07-12 0.999375-22
2008-07-11 0.999375-21
2008-06-26 0.999375-19
2008-06-26 0.999375-20
2008-06-25 0.999375-18
2008-06-23 0.999375-17
2007-10-14 0.99875-9
2007-09-26 0.99875-8
2007-08-04 0.99875-7
2007-07-10 0.99875-5
2007-07-10 0.99875-6
2007-07-07 0.99875-4
2007-06-21 0.99875-2

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Package icesTAF updated to version 3.4-0 with previous version 3.3-3 dated 2020-01-29

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut, cre], Colin Millar [aut], Alexandros Kokkalis [ctb], Ibrahim Umar [ctb]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

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Package FlexScan updated to version 0.2.0 with previous version 0.1.0 dated 2018-11-19

Title: Flexible Scan Statistics
Description: An easy way to conduct flexible scan. Monte-Carlo method is used to test the spatial clusters given the cases, population, and shapefile. A table with formal style and a map with clusters are included in the result report. The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005) <doi:10.1186/1476-072X-4-11>.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du <dgdzc@hotmail.com>

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Package LocalControl updated to version 1.1.2.1 with previous version 1.1.2 dated 2019-02-24

Title: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence
Description: Implements novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in studies involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. The package implements a family of methods for non-parametric bias correction when comparing treatments in observational studies, including survival analysis settings, where competing risks and/or censoring may be present. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups.
Author: Nicolas R. Lauve [aut], Stuart J. Nelson [aut], S. Stanley Young [aut], Robert L. Obenchain [aut], Melania Pintilie [ctb], Martin Kutz [ctb], Christophe G. Lambert [aut, cre]
Maintainer: Christophe G. Lambert <cglambert@unm.edu>

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Package imbalance updated to version 1.0.2.1 with previous version 1.0.2 dated 2019-12-18

Title: Preprocessing Algorithms for Imbalanced Datasets
Description: Class imbalance usually damages the performance of classifiers. Thus, it is important to treat data before applying a classifier algorithm. This package includes recent resampling algorithms in the literature: (Barua et al. 2014) <doi:10.1109/tkde.2012.232>; (Das et al. 2015) <doi:10.1109/tkde.2014.2324567>, (Zhang et al. 2014) <doi:10.1016/j.inffus.2013.12.003>; (Gao et al. 2014) <doi:10.1016/j.neucom.2014.02.006>; (Almogahed et al. 2014) <doi:10.1007/s00500-014-1484-5>. It also includes an useful interface to perform oversampling.
Author: Ignacio Cordón [aut, cre], Salvador García [aut], Alberto Fernández [aut], Francisco Herrera [aut]
Maintainer: Ignacio Cordón <nacho.cordon.castillo@gmail.com>

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Package grpSLOPE updated to version 0.3.0 with previous version 0.2.1 dated 2016-11-20

Title: Group Sorted L1 Penalized Estimation
Description: Group SLOPE is a penalized linear regression method that is used for adaptive selection of groups of significant predictors in a high-dimensional linear model. The Group SLOPE method can control the (group) false discovery rate at a user-specified level (i.e., control the expected proportion of irrelevant among all selected groups of predictors).
Author: Alexej Gossmann [aut, cre], Damian Brzyski [aut], Weijie Su [aut], Malgorzata Bogdan [aut], Ewout van den Berg [ctb] (Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3), Emmanuel Candes [ctb] (Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3), Chiara Sabatti [ctb] (Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3), Evan Patterson [ctb] (Code adapted from 'SLOPE' version 0.1.3, as well as from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3)
Maintainer: Alexej Gossmann <alexej.go@googlemail.com>

Diff between grpSLOPE versions 0.2.1 dated 2016-11-20 and 0.3.0 dated 2020-04-07

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Package DCEM updated to version 2.0.2 with previous version 2.0.1 dated 2020-02-28

Title: Clustering for Multivariate and Univariate Data Using Expectation Maximization Algorithm
Description: Implements the Improved Expectation Maximisation EM* and the traditional EM algorithm for clustering finite gaussian mixture models for both multivariate and univariate datasets. The initialization is done by randomly selecting the samples from the dataset as the mean (meu) of the Gaussian(s). This version implements the faster alternative EM* that avoids revisiting data by leveraging the heap structure. The algorithm returns a set of Gaussian parameters-posterior probabilities, mean (meu), co-variance matrices (multivariate)/standard-deviation (univariate) and priors. Reference: Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>. This work is partially supported by NCI Grant 1R01CA213466-01.
Author: Sharma Parichit [aut, cre, ctb], Kurban Hasan [aut, ctb], Jenne Mark [aut, ctb], Dalkilic Mehmet [aut]
Maintainer: Sharma Parichit <parishar@iu.edu>

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