Tue, 10 May 2022

Package rmapshaper updated to version 0.4.6 with previous version 0.4.5 dated 2021-05-26

Title: Client for 'mapshaper' for 'Geospatial' Operations
Description: Edit and simplify 'geojson', 'Spatial', and 'sf' objects. This is wrapper around the 'mapshaper' 'JavaScript' library by Matthew Bloch <https://github.com/mbloch/mapshaper/> to perform topologically-aware polygon simplification, as well as other operations such as clipping, erasing, dissolving, and converting 'multi-part' to 'single-part' geometries. It relies on the 'geojsonio' package for working with 'geojson' objects, the 'sf' package for working with 'sf' objects, and the 'sp' and 'rgdal' packages for working with 'Spatial' objects.
Author: Andy Teucher [aut, cre], Kenton Russell [aut] , Matthew Bloch [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

Diff between rmapshaper versions 0.4.5 dated 2021-05-26 and 0.4.6 dated 2022-05-10

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Package pacs updated to version 0.4.5 with previous version 0.4.4 dated 2022-04-04

Title: Supplementary Tools for R Packages Developers
Description: Supplementary utils for CRAN maintainers and R packages developers. Validating the library, packages and lock files. Exploring a complexity of a specific package like evaluating its size in bytes with all dependencies. The shiny app complexity could be explored too. Assessing the life duration of a specific package version. Checking a CRAN package check page status for any errors and warnings. Retrieving a DESCRIPTION or NAMESPACE file for any package version. Comparing DESCRIPTION or NAMESPACE files between different package versions. Getting a list of all releases for a specific package. The Bioconductor is partly supported.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

Diff between pacs versions 0.4.4 dated 2022-04-04 and 0.4.5 dated 2022-05-10

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Package httr2 updated to version 0.2.1 with previous version 0.2.0 dated 2022-04-28

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between httr2 versions 0.2.0 dated 2022-04-28 and 0.2.1 dated 2022-05-10

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Package xtune (with last version 0.1.0) was removed from CRAN

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2019-05-24 0.1.0

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Package wmlf (with last version 0.1.2) was removed from CRAN

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2015-02-22 0.1.2

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

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

2013-11-21 1.0

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New package pwlmm with initial version 1.1.0
Package: pwlmm
Title: PWIGLS for Two-Level Multivariate and Multilevel Linear Models
Version: 1.1.0
Maintainer: Alinne Veiga <alinne.veiga@ibge.gov.br>
Description: Estimates two-level multilevel linear model and two-level multivariate linear multilevel model with weights following Probability Weighted Iterative Generalised Least Squares approach. For details see Veiga et al.(2014) <doi:10.1111/rssc.12020>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppEigen
Imports: lme4, Matrix, Rcpp, RcppEigen
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-05-10 21:47:15 UTC; alinn
Author: Alinne Veiga [aut, cre] , Joao Messa [aut, trl, com]
Repository: CRAN
Date/Publication: 2022-05-10 22:20:02 UTC

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Package PHInfiniteEstimates updated to version 2.2 with previous version 2.1 dated 2021-09-30

Title: Tools for Inference in the Presence of a Monotone Likelihood
Description: Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist. These difficulties are related to those arising from logistic and multinomial regression. References for methods are given in the separate function documents. Supported by grant NSF DMS 1712839.
Author: John E. Kolassa and Juan Zhang
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

Diff between PHInfiniteEstimates versions 2.1 dated 2021-09-30 and 2.2 dated 2022-05-10

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Package bizdays updated to version 1.0.10 with previous version 1.0.9 dated 2022-02-05

Title: Business Days Calculations and Utilities
Description: Business days calculations based on a list of holidays and nonworking weekdays. Quite useful for fixed income and derivatives pricing.
Author: Wilson Freitas <wilson.freitas@gmail.com>
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between bizdays versions 1.0.9 dated 2022-02-05 and 1.0.10 dated 2022-05-10

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Package bidask updated to version 1.0.0 with previous version 0.1.1 dated 2022-02-01

Title: Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices
Description: Implements an efficient estimation procedure of bid-ask spreads from open, high, low, and close prices as described in Ardia-Guidotti-Kroencke <https://www.ssrn.com/abstract=3892335>. Moreover, it provides an implementation of the estimators proposed in Roll (1984) <doi:10.1111/j.1540-6261.1984.tb03897.x>, Corwin-Schultz (2012) <doi:10.1111/j.1540-6261.2012.01729.x>, and Abdi-Ranaldo (2017) <doi:10.1093/rfs/hhx084>.
Author: Emanuele Guidotti [aut, cre] , David Ardia [ctb] , Tim Kroencke [ctb]
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>

Diff between bidask versions 0.1.1 dated 2022-02-01 and 1.0.0 dated 2022-05-10

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Package tiger (with last version 0.2.3.1) was removed from CRAN

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2014-08-10 0.2.3.1
2013-08-12 0.2.3
2011-12-23 0.2.2
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2009-10-27 0.2
2009-03-27 0.1

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Package truncgof (with last version 0.6-0) was removed from CRAN

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2012-12-25 0.6-0

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2014-05-23 1.0

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Package symbols (with last version 1.1) was removed from CRAN

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2009-11-29 1.1

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

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2013-01-14 1.0

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Package tlmec (with last version 0.0-2) was removed from CRAN

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2012-01-28 0.0-2
2011-12-02 0.0-1

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Package vrmlgen (with last version 1.4.9) was removed from CRAN

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2013-12-09 1.4.9
2012-03-23 1.4.8
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2010-08-30 1.4.6
2010-06-15 1.4.4
2010-05-05 1.4.2
2010-05-05 1.4.3
2010-04-08 1.4.1
2010-03-17 1.4
2009-11-24 1.3
2009-11-12 1.2
2009-10-12 1.1
2009-03-21 1.0

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Package vscc (with last version 0.2) was removed from CRAN

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2013-11-17 0.2

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2018-05-06 1.2
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Package translateR (with last version 1.0) was removed from CRAN

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2014-07-09 1.0

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Package subniche (with last version 1.4) was removed from CRAN

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2021-02-26 1.4
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2017-07-08 0.9.7
2017-04-20 0.9.6
2017-03-29 0.9.4
2017-03-15 0.9.3
2017-02-03 0.9.2
2016-11-19 0.9.1
2016-08-03 0.9.0

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Package sigmaNet (with last version 1.1.0) was removed from CRAN

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Package sprsmdl (with last version 0.1-0) was removed from CRAN

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2013-03-28 0.1-0

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Package snpStatsWriter (with last version 1.5-6) was removed from CRAN

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2013-12-05 1.5-6
2013-11-04 1.5-5
2013-09-25 1.5-3
2013-05-16 1.5-1
2013-01-28 1.0.2

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

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2014-08-16 1.0

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Package skda (with last version 0.1) was removed from CRAN

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2013-12-12 0.1

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Package ssh.utils (with last version 1.0) was removed from CRAN

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2014-07-24 1.0

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

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2014-09-18 1.0

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2013-09-26 1.0

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Package wTO updated to version 2.0 with previous version 1.6.3 dated 2018-11-17

Title: Computing Weighted Topological Overlaps (wTO) & Consensus wTO Network
Description: Computes the Weighted Topological Overlap with positive and negative signs (wTO) networks given a data frame containing the mRNA count/ expression/ abundance per sample, and a vector containing the interested nodes of interaction (a subset of the elements of the full data frame). It also computes the cut-off threshold or p-value based on the individuals bootstrap or the values reshuffle per individual. It also allows the construction of a consensus network, based on multiple wTO networks. The package includes a visualization tool for the networks. More about the methodology can be found at <arXiv:1711.04702>.
Author: Deisy Morselli Gysi, Andre Voigt, Tiago Miranda Fragoso, Eivind Almaas and Katja Nowick.
Maintainer: Deisy Morselli Gysi <deisy.ccnr@gmail.com>

Diff between wTO versions 1.6.3 dated 2018-11-17 and 2.0 dated 2022-05-10

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Package siar (with last version 4.2) was removed from CRAN

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2013-04-23 4.2
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2011-03-31 4.1
2010-09-03 4.0.2
2010-08-05 4.0.1
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Package DT updated to version 0.23 with previous version 0.22 dated 2022-03-28

Title: A Wrapper of the JavaScript Library 'DataTables'
Description: Data objects in R can be rendered as HTML tables using the JavaScript library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables' library has been included in this R package. The package name 'DT' is an abbreviation of 'DataTables'.
Author: Yihui Xie [aut, cre], Joe Cheng [aut], Xianying Tan [aut], JJ Allaire [ctb], Maximilian Girlich [ctb], Greg Freedman Ellis [ctb], Johannes Rauh [ctb], SpryMedia Limited [ctb, cph] , Brian Reavis [ctb, cph] , Leon Gersen [ctb, cph] , Bartek Szopka [ct [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between DT versions 0.22 dated 2022-03-28 and 0.23 dated 2022-05-10

 DESCRIPTION                    |    6 +++---
 MD5                            |    8 ++++----
 build/vignette.rds             |binary
 inst/doc/DT.html               |   14 ++++++++++----
 inst/htmlwidgets/datatables.js |    6 ++++++
 5 files changed, 23 insertions(+), 11 deletions(-)

More information about DT at CRAN
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Package xfun updated to version 0.31 with previous version 0.30 dated 2022-03-02

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xfun versions 0.30 dated 2022-03-02 and 0.31 dated 2022-05-10

 DESCRIPTION        |    6 
 MD5                |   24 +-
 NEWS.md            |    6 
 R/api.R            |    5 
 R/base64.R         |    9 
 R/github.R         |   14 +
 R/markdown.R       |    1 
 R/packages.R       |   11 +
 R/session.R        |    1 
 R/utils.R          |    6 
 build/vignette.rds |binary
 inst/doc/xfun.html |  520 ++++++++++++++++++++++++++++++++++++++++++++++-------
 man/base64_uri.Rd  |    9 
 13 files changed, 529 insertions(+), 83 deletions(-)

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Package blogdown updated to version 1.10 with previous version 1.9 dated 2022-03-28

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between blogdown versions 1.9 dated 2022-03-28 and 1.10 dated 2022-05-10

 DESCRIPTION      |    6 ++---
 MD5              |   10 ++++-----
 R/hugo.R         |   56 +++++++++++++++++++++++--------------------------------
 R/serve.R        |    5 ++++
 R/utils.R        |    2 -
 man/shortcode.Rd |    5 ++--
 6 files changed, 41 insertions(+), 43 deletions(-)

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2011-07-26 0.1

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2013-01-07 1.0

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2014-09-22 0.6-0

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2019-01-30 0.1.0

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Package cytoDiv (with last version 0.5-3) was removed from CRAN

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2012-01-18 0.5-3
2011-11-22 0.5-2

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2013-07-26 1.2.3
2012-04-06 1.2.2
2011-03-21 1.2.0
2011-02-11 1.1.0

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2013-04-25 1.0.0

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2012-08-02 1.0

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2012-08-02 1.1
2011-09-21 1.0

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2014-01-16 0.2.1
2013-12-11 0.2

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2017-05-20 0.0.2
2017-04-01 0.0.1

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2012-06-12 1.1

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2013-04-08 1.0.1

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New package ZINARp with initial version 0.1.0
Package: ZINARp
Title: Simulate INAR/ZINAR(p) Models and Estimate Its Parameters
Version: 0.1.0
Maintainer: Tharso Augustus Rossiter Araujo Monteiro <tharso.augustus@ufpe.br>
Description: Simulation, exploratory data analysis and Bayesian analysis of the p-order Integer-valued Autoregressive (INAR(p)) and Zero-inflated p-order Integer-valued Autoregressive (ZINAR(p)) processes, as described in Garay et al. (2020) <doi:10.1080/00949655.2020.1754819>.
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
Imports: progress, stats, utils, graphics
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-05-06 14:57:02 UTC; tharso
Author: Aldo William Medina Garay [aut], Francyelle de Lima Medina [aut], Tharso Augustus Rossiter Araujo Monteiro [aut, cre]
Repository: CRAN
Date/Publication: 2022-05-09 11:30:02 UTC

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Package cheb (with last version 0.3) was removed from CRAN

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2012-12-10 0.3
2008-02-19 0.2

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Package citbcmst (with last version 1.0.4) was removed from CRAN

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2014-01-10 1.0.4
2012-03-26 1.0.3
2011-05-24 1.0.2
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Package catspec (with last version 0.97) was removed from CRAN

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2013-04-17 0.97
2012-03-05 0.96
2010-06-03 0.95
2007-12-07 0.93
2006-09-29 0.92

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Package cartools (with last version 0.1.0) was removed from CRAN

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2018-08-20 0.1.0

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2014-04-29 4.2
2014-03-18 4.1
2013-12-16 3.0
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2014-04-05 2.0
2013-12-17 1.6
2011-08-30 1.5
2011-08-10 1.4
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2011-05-21 1.2
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2012-09-25 0.2.6

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2013-02-17 0.4-9

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2012-02-29 1.0.5
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2020-01-10 1.2.3
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2019-03-13 1.1
2018-10-27 1.0
2017-10-25 0.99.9
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2016-12-19 0.99.6
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2013-04-19 1.0.3
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2011-12-07 1.0

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Package akmeans (with last version 1.1) was removed from CRAN

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2014-05-08 1.1
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Package YieldCurve (with last version 4.1) was removed from CRAN

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2013-01-30 4.1
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2010-07-24 3.0
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2009-08-04 1.0

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Package YaleToolkit updated to version 4.2.3 with previous version 4.2.2 dated 2014-12-31

Title: Data Exploration Tools from Yale University
Description: This collection of data exploration tools was developed at Yale University for the graphical exploration of complex multivariate data; barcode and gpairs now have their own packages. The big.read.table() function provided here may be useful for large files when only a subset is needed (but please see the note in the help page for this function).
Author: John W. Emerson and Walton A. Green
Maintainer: John W. Emerson <john.emerson@yale.edu>

Diff between YaleToolkit versions 4.2.2 dated 2014-12-31 and 4.2.3 dated 2022-05-10

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Package wikibooks updated to version 0.2.1 with previous version 0.2 dated 2007-06-21

Title: Functions and Datasets of the German WikiBook "GNU R"
Description: The german Wikibook "GNU R" introduces R to new users. This package is a collection of functions and datas used in the german WikiBook "GNU R".
Author: Joerg grosse Schlarmann
Maintainer: Joerg grosse Schlarmann (aka Produnis) <schlarmann@produnis.de>

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Package Voss updated to version 0.1.5 with previous version 0.1-4 dated 2012-06-04

Title: Generic Voss Algorithm (Random Sequential Additions)
Description: Generating realizations of a fractal Brownian function on uniform 1D & 2D grid with classic and generic versions of the Voss algorithm (random sequential additions).
Author: Pavel V. Moskalev
Maintainer: Pavel V. Moskalev <moskalefff@gmail.com>

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New package VARDetect with initial version 0.1.6
Package: VARDetect
Title: Multiple Change Point Detection in Structural VAR Models
Version: 0.1.6
Author: Yue Bai [aut, cre], Peiliang Bai [aut], Abolfazl Safikhani [aut], George Michailidis [aut]
Maintainer: Yue Bai <baiyue@ufl.edu>
Description: Implementations of Thresholded Block Segmentation Scheme (TBSS) and Low-rank plus Sparse Two Step Procedure (LSTSP) algorithms for detecting multiple changes in structural VAR models. The package aims to address the problem of change point detection in piece-wise stationary VAR models, under different settings regarding the structure of their transition matrices (autoregressive dynamics); specifically, the following cases are included: (i) (weakly) sparse, (ii) structured sparse, and (iii) low rank plus sparse. It includes multiple algorithms and related extensions from Safikhani and Shojaie (2020) <doi:10.1080/01621459.2020.1770097> and Bai, Safikhani and Michailidis (2020) <doi:10.1109/TSP.2020.2993145>.
License: GPL-2
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, MTS, igraph, pracma, graphics, mvtnorm, sparsevar, lattice, Rcpp (>= 1.0.7)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2022-05-09 16:46:10 UTC; yuebai
Repository: CRAN
Date/Publication: 2022-05-10 08:00:06 UTC

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Package tsModel updated to version 0.6-1 with previous version 0.6 dated 2013-06-24

Title: Time Series Modeling for Air Pollution and Health
Description: Tools for specifying time series regression models.
Author: Roger D. Peng <rpeng@jhsph.edu>, with contributions from Aidan McDermott
Maintainer: Roger D. Peng <rpeng@jhsph.edu>

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New package usincometaxes with initial version 0.2.0
Package: usincometaxes
Title: Calculate Federal and State Income Taxes in the United States
Version: 0.2.0
Description: Calculates federal and state income taxes in the United States. It acts as a wrapper to the NBER's TAXSIM 35 (<http://taxsim.nber.org/taxsim35/>) tax simulator. TAXSIM 35 conducts the calculations, while `usincometaxes` prepares the data for TAXSIM 35, sends the data to TAXSIM 35's server, retrieves the data, and places it into a data frame. All without the user worrying about this process.
License: MIT + file LICENSE
URL: https://github.com/shanejorr/usincometaxes, https://shaneorr.io/r/usincometaxes
BugReports: https://github.com/shanejorr/usincometaxes/issues
Depends: R (>= 3.1)
Imports: datasets, vroom
Suggests: dplyr, ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, tools
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-05-08 03:27:18 UTC; shane
Author: Shane Orr [aut, cre, cph]
Maintainer: Shane Orr <shane.j.orr@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-10 09:20:02 UTC

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Package Tratamentos.ad updated to version 0.2.3 with previous version 0.2.2 dated 2021-11-19

Title: Pacote Para Analise De Experimentos Com Testemunhas Adicionais
Description: Pacote para a analise de experimentos com um ou dois fatores com testemunhas adicionais conduzidos no delineamento inteiramente casualizado ou em blocos casualizados. "Package for the analysis of one or two-way experiments with additional controls conducted in a completely randomized design or in a randomized block design".
Author: Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>

Diff between Tratamentos.ad versions 0.2.2 dated 2021-11-19 and 0.2.3 dated 2022-05-10

 DESCRIPTION   |    6 +++---
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Package tidytext updated to version 0.3.3 with previous version 0.3.2 dated 2021-09-30

Title: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Description: Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
Author: Gabriela De Queiroz [ctb], Colin Fay [ctb] , Emil Hvitfeldt [ctb], Os Keyes [ctb] , Kanishka Misra [ctb], Tim Mastny [ctb], Jeff Erickson [ctb], David Robinson [aut], Julia Silge [aut, cre]
Maintainer: Julia Silge <julia.silge@gmail.com>

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New package thriftr with initial version 1.1.7
Package: thriftr
Title: Apache Thrift Client Server
Version: 1.1.7
Date: 2022-05-08
Author: Marek Jagielski [aut, cre, cph], Lixin Yu [aut, cph]
Maintainer: Marek Jagielski <marek.jagielski@gmail.com>
Description: Pure R implementation of Apache Thrift. This library doesn't require any code generation. To learn more about Thrift go to <https://thrift.apache.org>.
License: MIT + file LICENSE
URL: https://github.com/systemincloud/thriftr
BugReports: https://github.com/systemincloud/thriftr/issues
Suggests: testthat
Encoding: UTF-8
Imports: R6, rly (>= 1.7.4), stringi
NeedsCompilation: no
Packaged: 2022-05-08 13:49:04 UTC; lupus
Repository: CRAN
Date/Publication: 2022-05-10 10:00:02 UTC

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Package Ternary updated to version 2.1.0 with previous version 2.0.0 dated 2022-01-04

Title: Create Ternary and Holdridge Plots
Description: Plots ternary diagrams (simplex plots / Gibbs triangles) and Holdridge life zone plots <doi:10.1126/science.105.2727.367> using the standard graphics functions. An alternative to 'ggtern', which uses the 'ggplot2' family of plotting functions. Includes a 'Shiny' user interface for point-and-click ternary plotting.
Author: Martin R. Smith [aut, cre, cph] , Lilian Sanselme [ctb]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between Ternary versions 2.0.0 dated 2022-01-04 and 2.1.0 dated 2022-05-10

 DESCRIPTION                                         |   17 
 MD5                                                 |   96 
 NAMESPACE                                           |    8 
 NEWS.md                                             |   11 
 R/Contours.R                                        |  168 +
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Package svSweave updated to version 1.0.0 with previous version 0.9-8 dated 2013-01-28

Title: 'SciViews' - 'Sweave', 'Knitr' and R Markdown Companion Functions
Description: Functions to enumerate and reference figures, tables and equations in R Markdown documents that do not support these features (thus not 'bookdown' or 'quarto'. Supporting functions for using 'Sweave' and 'Knitr' with 'LyX'.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svSweave versions 0.9-8 dated 2013-01-28 and 1.0.0 dated 2022-05-10

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Package svSocket updated to version 1.1.0 with previous version 1.0.2 dated 2021-05-05

Title: 'SciViews' - Socket Server
Description: A socket server allows to connect clients to R.
Author: Philippe Grosjean [aut, cre] , Matthew Dowle [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svSocket versions 1.0.2 dated 2021-05-05 and 1.1.0 dated 2022-05-10

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 svSocket-1.1.0/svSocket/inst/etc/ReadMe.txt             |   24 
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 54 files changed, 659 insertions(+), 326 deletions(-)

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Package svKomodo updated to version 1.0.0 with previous version 0.9-63 dated 2015-02-05

Title: 'SciViews' - Functions to Interface with Komodo IDE
Description: R-side code to implement an R editor and IDE in Komodo IDE with the SciViews-K extension.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svKomodo versions 0.9-63 dated 2015-02-05 and 1.0.0 dated 2022-05-10

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 22 files changed, 1375 insertions(+), 1088 deletions(-)

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Package svHttp updated to version 1.0.4 with previous version 0.9-55 dated 2014-03-02

Title: 'SciViews' - HTTP Server
Description: A simple HTTP server allows to connect GUI clients to R.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svHttp versions 0.9-55 dated 2014-03-02 and 1.0.4 dated 2022-05-10

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Package svDialogstcltk updated to version 1.0.0 with previous version 0.9-4 dated 2014-03-02

Title: 'SciViews' - Standard Dialog Boxes using Tcl/Tk
Description: Reimplementation of the 'svDialogs' dialog boxes in Tcl/Tk.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svDialogstcltk versions 0.9-4 dated 2014-03-02 and 1.0.0 dated 2022-05-10

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Package svDialogs updated to version 1.1.0 with previous version 1.0.3 dated 2021-04-17

Title: 'SciViews' - Standard Dialog Boxes for Windows, MacOS and Linuxes
Description: Quickly construct standard dialog boxes for your GUI, including message boxes, input boxes, list, file or directory selection, ... In case R cannot display GUI dialog boxes, a simpler command line version of these interactive elements is also provided as fallback solution.
Author: Philippe Grosjean [aut, cre] , Paul Hibbins [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between svDialogs versions 1.0.3 dated 2021-04-17 and 1.1.0 dated 2022-05-10

 DESCRIPTION                                       |   17 +--
 MD5                                               |   44 ++++-----
 NAMESPACE                                         |   42 ++++----
 NEWS.md                                           |  104 +++++++++++-----------
 R/dlg_dir.R                                       |   19 +---
 R/dlg_form.R                                      |   10 +-
 R/dlg_input.R                                     |   10 +-
 R/dlg_list.R                                      |   10 +-
 R/dlg_message.R                                   |   10 +-
 R/dlg_open.R                                      |   43 +++++----
 R/dlg_save.R                                      |   22 +---
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 man/dlg_dir.Rd                                    |   16 +--
 man/dlg_form.Rd                                   |   12 +-
 man/dlg_input.Rd                                  |   12 +-
 man/dlg_list.Rd                                   |   12 +-
 man/dlg_message.Rd                                |   12 +-
 man/dlg_open.Rd                                   |   24 ++---
 man/dlg_save.Rd                                   |   28 ++++-
 man/svDialogs-package.Rd                          |    2 
 23 files changed, 286 insertions(+), 245 deletions(-)

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Package streamMOA updated to version 1.2-4 with previous version 1.2-3 dated 2020-12-03

Title: Interface for MOA Stream Clustering Algorithms
Description: Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).
Author: Michael Hahsler [aut, cre, cph], John Forrest [aut, cph], Matthew Bolanos [ctb], Matthias Carnein [ctb], Dalibor KrleĹľa [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between streamMOA versions 1.2-3 dated 2020-12-03 and 1.2-4 dated 2022-05-10

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Permanent link

Package stream updated to version 1.5-1 with previous version 1.5-0 dated 2021-09-07

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.
Author: Michael Hahsler [aut, cre, cph], Matthew Bolanos [aut], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb], Dalibor KrleĹľa [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between stream versions 1.5-0 dated 2021-09-07 and 1.5-1 dated 2022-05-10

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More information about stream at CRAN
Permanent link

Package StratigrapheR updated to version 1.2.5 with previous version 1.2.4 dated 2021-09-25

Title: Integrated Stratigraphy
Description: Includes bases for litholog generation: graphical functions based on R base graphics, interval management functions and svg importation functions among others. Also include stereographic projection functions, and other functions made to deal with large datasets while keeping options to get into the details of the data. When using for publication please cite Sebastien Wouters, Anne-Christine Da Silva, Frederic Boulvain and Xavier Devleeschouwer, 2021. The R Journal 13:2, 153-178. The palaeomagnetism functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism. University of California Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi: 10.1016/j.cageo.2012.07.021>.
Author: Sebastien Wouters [aut, cre], Adam D. Smith [ctb]
Maintainer: Sebastien Wouters <wouterseb@gmail.com>

Diff between StratigrapheR versions 1.2.4 dated 2021-09-25 and 1.2.5 dated 2022-05-10

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More information about StratigrapheR at CRAN
Permanent link

Package statespacer updated to version 0.4.1 with previous version 0.4.0 dated 2020-11-19

Title: State Space Modelling in 'R'
Description: A tool that makes estimating models in state space form a breeze. See "Time Series Analysis by State Space Methods" by Durbin and Koopman (2012, ISBN: 978-0-19-964117-8) for details about the algorithms implemented.
Author: Dylan Beijers [aut, cre]
Maintainer: Dylan Beijers <dylanbeijers@gmail.com>

Diff between statespacer versions 0.4.0 dated 2020-11-19 and 0.4.1 dated 2022-05-10

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Package stagePop updated to version 1.1-2 with previous version 1.1-1 dated 2015-05-12

Title: Modelling the Population Dynamics of a Stage-Structured Species in Continuous Time
Description: Provides facilities to implement and run population models of stage-structured species...
Author: Helen Kettle
Maintainer: David Nutter <david.nutter@bioss.ac.uk>

Diff between stagePop versions 1.1-1 dated 2015-05-12 and 1.1-2 dated 2022-05-10

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Permanent link

Package ssgraph updated to version 1.13 with previous version 1.12 dated 2020-05-24

Title: Bayesian Graph Structure Learning using Spike-and-Slab Priors
Description: Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data.
Author: Reza Mohammadi [aut, cre]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between ssgraph versions 1.12 dated 2020-05-24 and 1.13 dated 2022-05-10

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Permanent link

Package leaflet.extras2 updated to version 1.2.0 with previous version 1.1.0 dated 2020-10-20

Title: Extra Functionality for 'leaflet' Package
Description: Several 'leaflet' plugins are integrated, which are available as extension to the 'leaflet' package.
Author: Gatscha Sebastian [aut, cre], Ricardo Rodrigo Basa [ctb], Jeffrey O Hanson [ctb]
Maintainer: Gatscha Sebastian <sebastian_gatscha@gmx.at>

Diff between leaflet.extras2 versions 1.1.0 dated 2020-10-20 and 1.2.0 dated 2022-05-10

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More information about leaflet.extras2 at CRAN
Permanent link

Package dostats updated to version 1.3.3 with previous version 1.3.2 dated 2015-05-29

Title: Compute Statistics Helper Functions
Description: A small package containing helper utilities for creating functions for computing statistics.
Author: Andrew Redd <Andrew.Redd@hsc.utah.edu>
Maintainer: Andrew Redd <Andrew.Redd@hsc.utah.edu>

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Package circlize updated to version 0.4.15 with previous version 0.4.14 dated 2022-02-11

Title: Circular Visualization
Description: Circular layout is an efficient way for the visualization of huge amounts of information. Here this package provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of the package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives users more convenience and freedom to design figures for better understanding complex patterns behind multiple dimensional data. The package is described in Gu et al. 2014 <doi:10.1093/bioinformatics/btu393>.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>

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Package VarBundle (with last version 0.3.0) was removed from CRAN

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2018-08-17 0.3.0

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2013-04-07 0.2
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2013-12-31 1.0.1
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2013-01-29 1.0

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New package squashinformr with initial version 0.2.6
Package: squashinformr
Title: Politely Web Scrape Data from SquashInfo
Version: 0.2.6
Author: Hayden MacDonald [aut, cre]
Maintainer: Hayden MacDonald <hayden.macdonald.8778@gmail.com>
Description: Scrape SquashInfo <http://www.squashinfo.com/> for data on the Professional Squash Association World Tour and other squash events. 'squashinformr' functions scrape, parse, and clean data associated with players, tournaments, and rankings.
Depends: R (>= 4.0)
Imports: dplyr (>= 1.0.2), plyr (>= 1.8.6), tibble (>= 3.0.4), lubridate (>= 1.7.4), stringr (>= 1.4.0), tidyr (>= 1.1.2), rvest (>= 0.3.6), polite (>= 0.1.1), naniar (>= 0.5.0), janitor (>= 2.1.0), Hmisc (>= 4.4.2), rlang (>= 0.4.10)
Suggests: testthat, covr, knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
URL: https://github.com/HaydenMacDonald/squashinformr
BugReports: https://github.com/HaydenMacDonald/squashinformr/issues
NeedsCompilation: no
Packaged: 2022-05-09 19:37:40 UTC; Hayden
Repository: CRAN
Date/Publication: 2022-05-10 16:30:02 UTC

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Package spldv updated to version 0.1.1 with previous version 0.1.0 dated 2022-03-22

Title: Spatial Models for Limited Dependent Variables
Description: The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators. It supports one-step (Pinkse and Slade, 1998) <doi:10.1016/S0304-4076(97)00097-3> and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) <doi:10.1198/073500107000000188>. It also allows for either Probit or Logit model and compute the average marginal effects.
Author: Mauricio Sarrias [aut, cre] , Gianfranco Piras [aut] , Daniel McMillen [ctb]
Maintainer: Mauricio Sarrias <msarrias86@gmail.com>

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Package smcure updated to version 2.1 with previous version 2.0 dated 2012-09-26

Title: Fit Semiparametric Mixture Cure Models
Description: An R-package for Estimating Semiparametric PH and AFT Mixture Cure Models.
Author: Chao Cai, Yubo Zou, Yingwei Peng, Jiajia Zhang
Maintainer: Chao Cai <caic@email.sc.edu>

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Package shinybusy updated to version 0.3.1 with previous version 0.3.0 dated 2022-02-22

Title: Busy Indicators and Notifications for 'Shiny' Applications
Description: Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the server is busy. And other tools to let your users know something is happening (send notifications, reports, ...).
Author: Fanny Meyer [aut], Victor Perrier [aut, cre], Silex Technologies [fnd]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package semTools updated to version 0.5-6 with previous version 0.5-5 dated 2021-07-07

Title: Useful Tools for Structural Equation Modeling
Description: Provides tools for structural equation modeling, many of which extend the 'lavaan' package; for example, to pool results from multiple imputations, probe latent interactions, or test measurement invariance.
Author: Terrence D. Jorgensen [aut, cre] , Sunthud Pornprasertmanit [aut], Alexander M. Schoemann [aut] , Yves Rosseel [aut] , Patrick Miller [ctb], Corbin Quick [ctb], Mauricio Garnier-Villarreal [ctb] , James Selig [ctb], Aaron Boulton [ctb], Kristopher Pr [...truncated...]
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>

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Package scorecard updated to version 0.3.7 with previous version 0.3.6 dated 2021-11-29

Title: Credit Risk Scorecard
Description: The `scorecard` package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

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Package schoolmath updated to version 0.4.1 with previous version 0.4 dated 2009-10-26

Title: Functions and Datasets for Math Used in School
Description: Contains functions and datasets for math taught in school. A main focus is set to prime-calculation.
Author: Joerg grosse Schlarmann, Josef Wienand
Maintainer: Joerg grosse Schlarmann <schlarmann@produnis.de>

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Package sasLM updated to version 0.8.1 with previous version 0.8.0 dated 2022-03-20

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package saeHB.twofold updated to version 0.1.1 with previous version 0.1.0 dated 2022-02-28

Title: Hierarchical Bayes Twofold Subarea Level Model SAE
Description: We designed this package to provides several functions for area and subarea level of small area estimation under Twofold Subarea Level Model using hierarchical Bayesian (HB) method with Univariate Normal distribution for variables of interest. Some dataset simulated by a data generation are also provided. The 'rjags' package is employed to obtain parameter estimates using Gibbs Sampling algorithm. Model-based estimators involves the HB estimators which include the mean, the variation of mean, and the quantile. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, and Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.
Author: Reyhan Saadi [aut, cre], Azka Ubaidillah [aut]
Maintainer: Reyhan Saadi <221810557@stis.ac.id>

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Package saeHB.panel updated to version 0.1.1 with previous version 0.1.0 dated 2022-03-03

Title: Small Area Estimation using Hierarchical Bayesian Method for Rao Yu Model
Description: We designed this package to provide several functions for area level of small area estimation using hierarchical Bayesian (HB) method. This package provides model using panel data for variable interest.This package also provides a dataset produced by a data generation. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015).
Author: Velia Tri Marliana [aut, cre], Azka Ubaidillah [aut]
Maintainer: Velia Tri Marliana <221810642@stis.ac.id>

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Package rstpm2 updated to version 1.5.6 with previous version 1.5.5 dated 2022-04-19

Title: Smooth Survival Models, Including Generalized Survival Models
Description: R implementation of generalized survival models (GSMs), smooth accelerated failure time (AFT) models and Markov multi-state models. For the GSMs, g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth <doi:10.1177/0962280216664760>. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects <doi:10.1002/sim.7451>, and copulas. For the smooth AFTs, S(t|x) = S_0(t*eta(t,x)), where the baseline survival function S_0(t)=exp(-exp(eta_0(t))) is modelled for natural splines for eta_0, and the time-dependent cumulative acceleration factor eta(t,x)=\int_0^t exp(eta_1(u,x)) du for log acceleration factor eta_1(u,x). The Markov multi-state models allow for a range of models with smooth transitions to predict transition probabilities, length of stay, utilities and costs, with differences, ratios and standardisation.
Author: Mark Clements [aut, cre], Xing-Rong Liu [aut], Benjamin Christoffersen [aut], Paul Lambert [ctb], Lasse Hjort Jakobsen [ctb], Alessandro Gasparini [ctb], Gordon Smyth [cph], Patrick Alken [cph], Simon Wood [cph], Rhys Ulerich [cph]
Maintainer: Mark Clements <mark.clements@ki.se>

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Package RRphylo updated to version 2.6.3 with previous version 2.6.0 dated 2022-01-20

Title: Phylogenetic Ridge Regression Methods for Comparative Studies
Description: Functions for phylogenetic analysis (Castiglione et al., 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
Author: Pasquale Raia, Silvia Castiglione, Carmela Serio, Alessandro Mondanaro, Marina Melchionna, Mirko Di Febbraro, Antonio Profico, Francesco Carotenuto
Maintainer: Pasquale Raia <pasquale.raia@unina.it>

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New package robmixglm with initial version 1.2-3
Package: robmixglm
Title: Robust Generalized Linear Models (GLM) using Mixtures
Version: 1.2-3
Date: 2022-05-08
Maintainer: Ken Beath <ken@kjbeath.com.au>
Contact: Ken Beath <ken@kjbeath.com.au>
Author: Ken Beath [aut, cre]
Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Depends: R(>= 3.2.0)
Suggests: R.rsp, robustbase, lattice, forward
VignetteBuilder: R.rsp
Imports: fastGHQuad, stats, bbmle, VGAM, actuar, Rcpp (>= 0.12.15), methods, boot, numDeriv, parallel, doParallel, foreach, doRNG, MASS
LazyLoad: yes
LazyData: yes
NeedsCompilation: yes
License: GPL (>= 2)
LinkingTo: Rcpp
Packaged: 2022-05-09 05:49:03 UTC; kjbeath1
Repository: CRAN
Date/Publication: 2022-05-09 09:00:02 UTC

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New package RMM with initial version 0.1.0
Package: RMM
Title: Revenue Management Modeling
Version: 0.1.0
Date: 2022-04-29
Maintainer: Chul Kim <statkim7578@yonsei.ac.kr>
Description: The RMM fits Revenue Management Models using the RDE(Robust Demand Estimation) method introduced in the paper by <doi:10.2139/ssrn.3598259>, one of the customer choice-based Revenue Management Model. Furthermore, it is possible to select a multinomial model as well as a conditional logit model as a model of RDE.
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: tibble, magrittr, rlang, dplyr, numDeriv, Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-05-06 12:03:59 UTC; chulkim
Author: Chul Kim [aut, cre], Sanghoon Cho [aut], Jongho Im [aut]
Repository: CRAN
Date/Publication: 2022-05-09 11:30:05 UTC

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Package rminqa updated to version 0.1.1 with previous version 0.1.0 dated 2022-04-28

Title: Derivative-Free Optimization in R using C++
Description: Perform derivative-free optimization algorithms in R using C++. A wrapper interface is provided to call C function of the 'bobyqa' implementation (See <https://github.com/emmt/Algorithms/tree/master/bobyqa>).
Author: Sam Watson [aut], Yi Pan [aut, cre], Éric Thiebaut [aut], Mike Powell [aut]
Maintainer: Yi Pan <ypan1988@gmail.com>

Diff between rminqa versions 0.1.0 dated 2022-04-28 and 0.1.1 dated 2022-05-10

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Package riot updated to version 1.0.0 with previous version 0.0.1 dated 2022-05-05

Title: R Inputs/Outputs for Tractography
Description: An input-output interface for reading in and writing out common VTK formats that store tractography data. This data comes in the form of 3D polygons with possibly attributes at each point. These are obtained via tracking algorithms from diffusion MRI and are a non-invasive way of studying brain structural connectivity.
Author: Aymeric Stamm [aut, cre] , Jeroen Ooms [ctb], Lee Thomason [ctb] , Tim Schaefer [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@math.cnrs.fr>

Diff between riot versions 0.0.1 dated 2022-05-05 and 1.0.0 dated 2022-05-10

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Package rgdal updated to version 1.5-32 with previous version 1.5-31 dated 2022-04-17

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Please note that 'rgdal' will be retired by the end of 2023, plan transition to sf/stars/'terra' functions using 'GDAL' and 'PROJ' at your earliest convenience. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] , Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Daniel Baston [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package rgabriel updated to version 0.9 with previous version 0.7 dated 2013-12-28

Title: Gabriel Multiple Comparison Test and Plot the Confidence Interval on Barplot
Description: Analyze multi-level one-way experimental designs where there are unequal sample sizes and population variance homogeneity can not be assumed. To conduct the Gabriel test <doi:10.2307/2286265>, create two vectors: one for your observations and one for the factor level of each observation. The function, rgabriel, conduct the test and save the output as a vector to input into the gabriel.plot function, which produces a confidence interval plot for Multiple Comparison.
Author: Miao YU [aut, cre] , Yihui XIE [aut]
Maintainer: Miao YU <yufreecas@gmail.com>

Diff between rgabriel versions 0.7 dated 2013-12-28 and 0.9 dated 2022-05-10

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Package rfigshare updated to version 0.3.8 with previous version 0.3.7 dated 2015-06-15

Title: An R Interface to 'figshare'
Description: An R interface to 'figshare'.
Author: Carl Boettiger [aut, cre] , Scott Chamberlain [aut] , Karthik Ram [aut] , Edmund Hart [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package revdbayes updated to version 1.4.9 with previous version 1.3.9 dated 2020-09-12

Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Description: Provides functions for the Bayesian analysis of extreme value models. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution. The functionality of 'revdbayes' is similar to the 'evdbayes' package <https://cran.r-project.org/package=evdbayes>, which uses Markov Chain Monte Carlo ('MCMC') methods for posterior simulation. In addition, there are functions for making inferences about the extremal index, using the models for threshold inter-exceedance times of Suveges and Davison (2010) <doi:10.1214/09-AOAS292> and Holesovsky and Fusek (2020) <doi:10.1007/s10687-020-00374-3>. Also provided are d,p,q,r functions for the Generalised Extreme Value ('GEV') and Generalised Pareto ('GP') distributions that deal appropriately with cases where the shape parameter is very close to zero.
Author: Paul J. Northrop [aut, cre, cph], Scott D. Grimshaw [ctb]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package regport updated to version 0.3.0 with previous version 0.2.0 dated 2022-04-06

Title: Regression Model Processing Port
Description: Provides R6 classes, methods and utilities to construct, analyze, summarize, and visualize regression models.
Author: Shixiang Wang [aut, cre]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package rego updated to version 1.4.1 with previous version 1.3.5 dated 2022-03-16

Title: Automatic Time Series Forecasting and Missing Value Imputation
Description: Machine learning algorithm for predicting and imputing time series. It can automatically set all the parameters needed, thus in the minimal configuration it only requires the target variable and the dependent variables if present. It can address large problems with hundreds or thousands of dependent variables and problems in which the number of dependent variables is greater than the number of observations. Moreover it can be used not only for time series but also for any other real valued target variable. The algorithm implemented includes a Bayesian stochastic search methodology for model selection and a robust estimation based on bootstrapping. 'rego' is fast because all the code is C++.
Author: Davide Altomare [cre, aut], David Loris [aut]
Maintainer: Davide Altomare <info@channelattribution.io>

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Package rdecision updated to version 1.1.1 with previous version 1.1.0 dated 2021-09-08

Title: Decision Analytic Modelling in Health Economics
Description: Classes and functions for modelling health care interventions using decision trees and semi-Markov models. Mechanisms are provided for associating an uncertainty distribution with each source variable and for ensuring transparency of the mathematical relationships between variables. The package terminology follows Briggs "Decision Modelling for Health Economic Evaluation" (2006, ISBN:978-0-19-852662-9).
Author: Andrew Sims [aut, cre] , Kim Fairbairn [aut] , Paola Cognigni [aut]
Maintainer: Andrew Sims <andrew.sims@newcastle.ac.uk>

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Package rb3 updated to version 0.0.2 with previous version 0.0.1 dated 2022-05-05

Title: Download and Parse Public Data Released by B3 Exchange
Description: Download and parse public files released by B3 and convert them into useful formats and data structures common to data analysis practitioners.
Author: Wilson Freitas [aut, cre], Marcelo Perlin [aut]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

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Package raters updated to version 2.0.2 with previous version 2.0.1 dated 2014-12-29

Title: A Modification of Fleiss' Kappa in Case of Nominal and Ordinal Variables
Description: The kappa statistic implemented by Fleiss is a very popular index for assessing the reliability of agreement among multiple observers. It is used both in the psychological and in the psychiatric field. Other fields of application are typically medicine, biology and engineering. Unfortunately,the kappa statistic may behave inconsistently in case of strong agreement between raters, since this index assumes lower values than it would have been expected. We propose a modification kappa implemented by Fleiss in case of nominal and ordinal variables. Monte Carlo simulations are used both to testing statistical hypotheses and to calculating percentile bootstrap confidence intervals based on proposed statistic in case of nominal and ordinal data.
Author: Daniele Giardiello [cre], Piero Quatto [aut], Enrico Ripamonti [aut], Stefano Vigliani [ctb]
Maintainer: Daniele Giardiello <daniele.giardiello1@gmail.com>

Diff between raters versions 2.0.1 dated 2014-12-29 and 2.0.2 dated 2022-05-10

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2019-06-09 0.1.0.1
2017-10-02 0.1.0

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Package Rothermel (with last version 1.2) was removed from CRAN

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2014-11-10 1.2
2014-04-22 1.1
2014-01-20 1.0

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2014-08-10 1.0.3
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Package REQS (with last version 0.8-12) was removed from CRAN

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2011-04-07 0.8-12
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2011-03-27 0.8-10
2011-01-23 0.8-9
2010-08-24 0.8-7
2010-03-07 0.8-6
2009-11-19 0.8-5
2009-08-30 0.8-4
2009-08-01 0.8-1
2008-11-02 0.7-2
2008-10-20 0.7-0

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Package RidgeFusion (with last version 1.0-3) was removed from CRAN

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2014-09-18 1.0-3
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Package RVtests (with last version 1.2) was removed from CRAN

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2013-05-28 1.2
2013-01-20 1.1
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2018-09-30 0.0.2

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Package ReCiPa (with last version 3.0) was removed from CRAN

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2012-12-21 3.0
2012-11-21 2.2
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Package RelValAnalysis (with last version 1.0) was removed from CRAN

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2014-06-26 1.0

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2013-04-05 1.0

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Package ORCI (with last version 1.1) was removed from CRAN

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2014-06-10 1.1

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

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2014-03-13 1.0

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2017-08-22 1.0.3

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Package PriorCD (with last version 0.1.0) was removed from CRAN

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2019-02-24 0.1.0

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2012-12-12 1.0

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Package RAD (with last version 0.3) was removed from CRAN

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2012-06-28 0.3

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Package QualInt (with last version 1.0.0) was removed from CRAN

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2014-10-13 1.0.0

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Package rateratio.test updated to version 1.1 with previous version 1.0-2 dated 2014-01-22

Title: Exact Rate Ratio Test
Description: Performs exact rate ratio tests.
Author: Michael Fay <mfay@niaid.nih.gov>
Maintainer: Michael Fay <mfay@niaid.nih.gov>

Diff between rateratio.test versions 1.0-2 dated 2014-01-22 and 1.1 dated 2022-05-10

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Package randomLCA updated to version 1.1-2 with previous version 1.1-1 dated 2021-02-15

Title: Random Effects Latent Class Analysis
Description: Fits standard and random effects latent class models. The single level random effects model is described in Qu et al <doi:10.2307/2533043> and the two level random effects model in Beath and Heller <doi:10.1177/1471082X0800900302>. Examples are given for their use in diagnostic testing.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken@kjbeath.com.au>

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Package psychTools updated to version 2.2.5 with previous version 2.2.3 dated 2022-03-18

Title: Tools to Accompany the 'psych' Package for Psychological Research
Description: Support functions, data sets, and vignettes for the 'psych' package. Contains several of the biggest data sets for the 'psych' package as well as one vignette. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r/> web page.
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

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New package quantdr with initial version 1.2.2
Package: quantdr
Title: Dimension Reduction Techniques for Conditional Quantiles
Version: 1.2.2
Description: An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: dr, KernSmooth, mvtnorm, quantreg
Depends: R (>= 3.2.0)
Suggests: ggplot2, knitr, rmarkdown, testthat, pracma, MASS, PerformanceAnalytics, png
VignetteBuilder: knitr
SystemRequirements: GNU make
URL: https://github.com/elianachristou/quantdr
BugReports: https://github.com/elianachristou/quantdr/issues
NeedsCompilation: no
Packaged: 2022-05-06 21:30:33 UTC; echris15
Author: Eliana Christou [aut, cre]
Maintainer: Eliana Christou <echris15@uncc.edu>
Repository: CRAN
Date/Publication: 2022-05-09 09:10:02 UTC

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Package psych updated to version 2.2.5 with previous version 2.2.3 dated 2022-03-18

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <https://personality-project.org/r/> web page.
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

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New package PopulationGrowthR with initial version 0.1.1
Package: PopulationGrowthR
Title: Linear Population Growth Scenarios
Version: 0.1.1
Maintainer: Biman Chakraborty <biman_c@yahoo.com>
Description: Fit linear splines to species time series to detect population growth scenarios based on Hyndman, R J and Mesgaran, M B and Cousens, R D (2015) <doi:10.1007/s10530-015-0962-8>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-05-09 12:04:35 UTC; chakrabb
Author: Philipp Robeck [aut], Biman Chakraborty [cre]
Repository: CRAN
Date/Publication: 2022-05-10 10:40:06 UTC

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Package poisDoubleSamp updated to version 1.1.1 with previous version 1.1 dated 2015-02-03

Title: Confidence Intervals with Poisson Double Sampling
Description: Functions to create confidence intervals for ratios of Poisson rates under misclassification using double sampling. Implementations of the methods described in Kahle, D., P. Young, B. Greer, and D. Young (2016). "Confidence Intervals for the Ratio of Two Poisson Rates Under One-Way Differential Misclassification Using Double Sampling." Computational Statistics & Data Analysis, 95:122–132.
Author: David Kahle [aut, cre] , Phil Young [aut], Dean Young [aut]
Maintainer: David Kahle <david@kahle.io>

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Package PLSiMCpp updated to version 1.0.2 with previous version 1.0.1 dated 2021-12-21

Title: Methods for Partial Linear Single Index Model
Description: Estimation, hypothesis tests, and variable selection in partially linear single-index models. Please see H. (2010) at <doi:10.1214/10-AOS835> for more details.
Author: Shunyao Wu, Qi Zhang, Zhiruo Li, Hua Liang
Maintainer: Shunyao Wu <wushunyao@qdu.edu.cn>

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Package plpoisson updated to version 0.3.0 with previous version 0.2.0 dated 2021-02-14

Title: Prediction Limits for Poisson Distribution
Description: Prediction limits for the Poisson distribution are produced from both frequentist and Bayesian viewpoints. Limiting results are provided in a Bayesian setting with uniform, Jeffreys and gamma as prior distributions. More details on the methodology are discussed in Bejleri and Nandram (2018) <doi:10.1080/03610926.2017.1373814> and Bejleri, Sartore and Nandram (2021) <doi:10.1007/s42952-021-00157-x>.
Author: Valbona Bejleri [aut] , Luca Sartore [aut, cre] , Balgobin Nandram [aut]
Maintainer: Luca Sartore <drwolf85@gmail.com>

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Package plotwidgets updated to version 0.5.1 with previous version 0.4 dated 2016-09-06

Title: Spider Plots, ROC Curves, Pie Charts and More for Use in Other Plots
Description: Small self-contained plots for use in larger plots or to delegate plotting in other functions. Also contains a number of alternative color palettes and HSL color space based tools to modify colors or palettes.
Author: January Weiner
Maintainer: January Weiner <january.weiner@gmail.com>

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Package PL94171 updated to version 1.0.2 with previous version 1.0.1 dated 2021-11-18

Title: Tabulate P.L. 94-171 Redistricting Data Summary Files
Description: Tools to process legacy format summary redistricting data files produced by the United States Census Bureau pursuant to P.L. 94-171. These files are generally available earlier but are difficult to work with as-is.
Author: Cory McCartan [aut, cre], Christopher T. Kenny [aut]
Maintainer: Cory McCartan <cmccartan@g.harvard.edu>

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New package phers with initial version 0.0.2
Package: phers
Title: Calculate Phenotype Risk Scores
Version: 0.0.2
Description: Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and rare genetic variants. See Bastarache et al. 2018 <doi:10.1126/science.aal4043>.
URL: https://phers.hugheylab.org, https://github.com/hugheylab/phers
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: checkmate (>= 2.0.0), data.table (>= 1.5.0), foreach (>= 1.5.2), stats (>= 4.0.2), MASS (>= 7.3-55), iterators (>= 1.0.14), BEDMatrix (>= 2.0.3)
Suggests: doParallel (>= 1.0.17), knitr, rmarkdown, testthat (>= 3.1.0), ggplot2 (>= 3.3.5), qs (>= 0.25.2)
NeedsCompilation: no
Packaged: 2022-05-06 17:23:36 UTC; joshuaschoenbachler
Author: Jake Hughey [aut, cre], Layla Aref [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-10 09:10:06 UTC

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Package PhageCocktail updated to version 1.0.2 with previous version 1.0.1 dated 2022-05-02

Title: Design of the Best Phage Cocktail
Description: There are 4 possible methods: "ExhaustiveSearch"; "ExhaustivePhi"; "ClusteringSearch"; and "ClusteringPhi". "ExhaustiveSearch"--> gives you the best phage cocktail from a phage-bacteria infection network. It checks different phage cocktail sizes from 1 to 7 and only stops before if it lyses all bacteria. Other option is when users have decided not to obtain a phage cocktail size higher than a limit value. "ExhaustivePhi"--> firstly, it finds Phi out. Phi is a formula indicating the necessary phage cocktail size. Phi needs nestedness temperature and fill, which are internally calculated. This function will only look for the best combination (phage cocktail) with a Phi size. "ClusteringSearch"--> firstly, an agglomerative hierarchical clustering using Ward's algorithm is calculated for phages. They will be clustered according to bacteria lysed by them. PhageCocktail() chooses how many clusters are needed in order to select 1 phage per cluster. Using the phages selected during the clustering, it checks different phage cocktail sizes from 1 to 7 and only stops before if it lyses all bacteria. Other option is when users have decided not to obtain a phage cocktail size higher than a limit value. "ClusteringPhi"--> firstly, an agglomerative hierarchical clustering using Ward's algorithm is calculated for phages. They will be clustered according to bacteria lysed by them. PhageCocktail() chooses how many clusters are needed in order to select 1 phage per cluster. Once the function has one phage per cluster, it calculates Phi. If the number of clusters is less than Phi number, it will be changed to obtain, as minimum, this quantity of candidates (phages). Then, it calculates the best combination of Phi phages using those selected during the clustering with Ward algorithm. If you use PhageCocktail, please cite it as: "PhageCocktail: An R Package to Design Phage Cocktails from Experimental Phage-Bacteria Infection Networks". María Victoria Díaz-Galián, Miguel A. Vega-Rodríguez, Felipe Molina. Computer Methods and Programs in Biomedicine, 106865, Elsevier Ireland, Clare, Ireland, 2022, ISSN: 0169-2607.
Author: Maria Victoria Diaz-Galian [aut, cre] , Miguel A. Vega-Rodriguez [aut] , Felipe Molina [aut]
Maintainer: Maria Victoria Diaz-Galian <mvdiazgalian@unex.es>

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Package pcmabc updated to version 1.1.3 with previous version 1.1.2 dated 2022-05-04

Title: Approximate Bayesian Computations for Phylogenetic Comparative Methods
Description: Fits by ABC, the parameters of a stochastic process modelling the phylogeny and evolution of a suite of traits following the tree. The user may define an arbitrary Markov process for the trait and phylogeny. Importantly, trait-dependent speciation models are handled and fitted to data. See K. Bartoszek, P. Lio' (2019) <doi:10.5506/APhysPolBSupp.12.25>. The suggested geiger package can be obtained from CRAN's archive <https://cran.r-project.org/src/contrib/Archive/geiger/>, suggested to take latest version. Otherwise its required code is present in the pcmabc package. The suggested distory package can be obtained from CRAN's archive <https://cran.r-project.org/src/contrib/Archive/distory/>, suggested to take latest version.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>, Pietro Lio'
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between pcmabc versions 1.1.2 dated 2022-05-04 and 1.1.3 dated 2022-05-10

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Package optimx updated to version 2022-4.30 with previous version 2021-10.12 dated 2021-10-13

Title: Expanded Replacement and Extension of the 'optim' Function
Description: Provides a replacement and extension of the optim() function to call to several function minimization codes in R in a single statement. These methods handle smooth, possibly box constrained functions of several or many parameters. Note that function 'optimr()' was prepared to simplify the incorporation of minimization codes going forward. Also implements some utility codes and some extra solvers, including safeguarded Newton methods. Many methods previously separate are now included here. This is the version for CRAN.
Author: John C Nash [aut, cre], Ravi Varadhan [aut], Gabor Grothendieck [ctb]
Maintainer: John C Nash <nashjc@uottawa.ca>

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Package openeo updated to version 1.2.0 with previous version 1.1.0 dated 2021-11-08

Title: Client Interface for 'openEO' Servers
Description: Access data and processing functionalities of 'openEO' compliant back-ends in R.
Author: Florian Lahn [aut, cre], Peter James Zellner [ctb], Matthias Mohr [ctb]
Maintainer: Florian Lahn <florian.lahn@eftas.com>

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New package onlineforecast with initial version 1.0.1
Package: onlineforecast
Title: Forecast Modelling for Online Applications
Version: 1.0.1
Description: A framework for fitting adaptive forecasting models. Provides a way to use forecasts as input to models, e.g. weather forecasts for energy related forecasting. The models can be fitted recursively and can easily be setup for updating parameters when new data arrives. See the included vignettes, the website <https://onlineforecasting.org> and the pre-print paper "onlineforecast: An R package for adaptive and recursive forecasting" <arXiv:2109.12915>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.18), R6 (>= 2.2.2), splines (>= 3.1.1), pbs, digest
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, R.rsp, testthat (>= 3.0.0), data.table, plotly
VignetteBuilder: knitr
URL: https://onlineforecasting.org
BugReports: https://lab.compute.dtu.dk/packages/onlineforecast/-/issues
NeedsCompilation: yes
Packaged: 2022-05-09 13:35:01 UTC; pbac
Author: Peder Bacher [cre], Hjorleifur G Bergsteinsson [aut]
Maintainer: Peder Bacher <pbac@dtu.dk>
Repository: CRAN
Date/Publication: 2022-05-10 09:30:05 UTC

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Package nimbleCarbon updated to version 0.2.1 with previous version 0.1.2 dated 2021-05-27

Title: Bayesian Analyses of Radiocarbon Dates with NIMBLE
Description: Provides utility functions and custom probability distribution for Bayesian analyses of radiocarbon dates within the 'nimble' modelling framework. It includes various population growth models, nimbleFunction objects, as well as a suite of functions for prior and posterior predictive checks for demographic inference (Crema and Shoda (2021) <doi:10.1371/journal.pone.0251695>) and other analyses.
Author: Enrico Crema [aut, cre] , Robert Di Napoli [ctb]
Maintainer: Enrico Crema <enrico.crema@gmail.com>

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Package nestfs updated to version 1.0.2 with previous version 1.0.1 dated 2022-02-21

Title: Cross-Validated (Nested) Forward Selection
Description: Implementation of forward selection based on cross-validated linear and logistic regression.
Author: Marco Colombo [aut, cre] , Felix Agakov [ctb]
Maintainer: Marco Colombo <mar.colombo13@gmail.com>

Diff between nestfs versions 1.0.1 dated 2022-02-21 and 1.0.2 dated 2022-05-10

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Package nanonext updated to version 0.5.0 with previous version 0.4.0 dated 2022-04-10

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library providing high-performance scalability protocols, implementing a cross-platform standard for messaging and communications. Serves as a concurrency framework for building distributed applications, utilising 'Aio' objects which automatically resolve upon completion of asynchronous operations.
Author: Charlie Gao [aut, cre] , Ling Li [ctb]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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New package nbc4va with initial version 1.2
Package: nbc4va
Title: Bayes Classifier for Verbal Autopsy Data
Version: 1.2
Date: 2022-04-25
Maintainer: Richard Wen <rrwen.dev@gmail.com>
Description: An implementation of the Naive Bayes Classifier (NBC) algorithm used for Verbal Autopsy (VA) built on code from Miasnikof et al (2015) <DOI:10.1186/s12916-015-0521-2>.
Depends: R (>= 4.0.0)
Imports: graphics, methods, utils, shiny
Suggests: bookdown, knitr, rmarkdown, testthat
Enhances: openVA
License: GPL-3
LazyData: TRUE
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-09 12:05:12 UTC; rrwen
Author: Richard Wen [aut, cre], Pierre Miasnikof [ctb], Vasily Giannakeas [ctb], Mireille Gomes [ctb]
Repository: CRAN
Date/Publication: 2022-05-10 10:40:02 UTC

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Package N2H4 updated to version 0.6.3 with previous version 0.6.1 dated 2022-02-22

Title: Handling Methods for Naver News Text Crawling
Description: Provides some functions to get Korean text sample from news articles in Naver which is popular news portal service <https://news.naver.com/> in Korea.
Author: Chanyub Park [aut, cre]
Maintainer: Chanyub Park <mrchypark@gmail.com>

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Package mvtsplot updated to version 1.0-4 with previous version 1.0-1 dated 2012-03-21

Title: Multivariate Time Series Plot
Description: A function for plotting multivariate time series data.
Author: Roger D. Peng <rpeng@jhsph.edu>
Maintainer: Roger D. Peng <rpeng@jhsph.edu>

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Package mvMORPH updated to version 1.1.6 with previous version 1.1.5 dated 2022-05-02

Title: Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data
Description: Fits multivariate (Brownian Motion, Early Burst, ACDC, Ornstein-Uhlenbeck and Shifts) models of continuous traits evolution on trees and time series. 'mvMORPH' also proposes high-dimensional multivariate comparative tools (linear models using Generalized Least Squares and multivariate tests) based on penalized likelihood. See Clavel et al. (2015) <DOI:10.1111/2041-210X.12420>, Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>, and Clavel & Morlon (2020) <DOI:10.1093/sysbio/syaa010>.
Author: Julien Clavel, with contributions from Aaron King, and Emmanuel Paradis
Maintainer: Julien Clavel <julien.clavel@hotmail.fr>

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Package msgps updated to version 1.3.4 with previous version 1.3.1 dated 2019-01-27

Title: Degrees of Freedom of Elastic Net, Adaptive Lasso and Generalized Elastic Net
Description: Computes the degrees of freedom of the lasso, elastic net, generalized elastic net and adaptive lasso based on the generalized path seeking algorithm. The optimal model can be selected by model selection criteria including Mallows' Cp, bias-corrected AIC (AICc), generalized cross validation (GCV) and BIC.
Author: Kei Hirose
Maintainer: Kei Hirose <mail@keihirose.com>

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

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2013-03-18 1.0

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Package MF (with last version 4.3.2) was removed from CRAN

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2014-01-13 4.3.2
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Package InteractiveIGraph (with last version 1.0.6.1) was removed from CRAN

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2013-05-07 1.0.6.1
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Package MRsurv (with last version 0.2) was removed from CRAN

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Package Lambda4 (with last version 3.0) was removed from CRAN

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Package MLMusingR updated to version 0.2.0 with previous version 0.1.0 dated 2022-01-11

Title: Practical Multilevel Modeling
Description: Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' (2002) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).
Author: Francis Huang [aut, cre]
Maintainer: Francis Huang <flhuang2000@yahoo.com>

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Package minval updated to version 0.8-2 with previous version 0.8-1 dated 2018-04-11

Title: MINimal VALidation for Stoichiometric Reactions
Description: For a given set of stoichiometric reactions, this package evaluates the mass and charge balance, extracts all reactants, products, orphan metabolites, metabolite names and compartments. Also are included some options to characterize and write models in TSV and SBML formats.
Author: Daniel Osorio [aut, cre], Janneth Gonzalez [aut, ths], Andres Pinzon [aut, ths]
Maintainer: Daniel Osorio <dcosorioh@unal.edu.co>

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Package medfate updated to version 2.7.3 with previous version 2.3.7 dated 2021-12-16

Title: Mediterranean Forest Simulation
Description: Functions to simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
Author: Miquel De Caceres [aut, cre] , Shengli Huang [aut] , Victor Granda [aut] , Antoine Cabon [aut] , Aitor Ameztegui [ctb] , Jordi Martinez-Vilalta [ctb] , Maurizio Mencuccini [ctb] , Nicolas Martin-StPaul [ctb]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between medfate versions 2.3.7 dated 2021-12-16 and 2.7.3 dated 2022-05-10

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Package lpme updated to version 1.1.3 with previous version 1.1.2 dated 2021-07-13

Title: Nonparametric Estimation of Measurement Error Models
Description: Provide nonparametric methods for mean regression model, modal regression and conditional density estimation in the presence/absence of measurement error. Bandwidth selection is also provided for each method. See Huang and Zhou (2017) <doi:10.1080/10485252.2017.1303060>, Zhou and Huang (2016) <doi:10.1214/16-EJS1210>, Huang and Zhou (2020) <doi:10.1214/20-EJS1688>, and Zhou and Huang (2019) <doi:10.1080/03610918.2017.1402044>.
Author: Haiming Zhou [aut, cre, cph], Xianzheng Huang [aut]
Maintainer: Haiming Zhou <haiming2019@gmail.com>

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Package locits updated to version 1.7.5 with previous version 1.7.3 dated 2016-11-14

Title: Test of Stationarity and Localized Autocovariance
Description: Provides test of second-order stationarity for time series (for dyadic and arbitrary-n length data). Provides localized autocovariance, with confidence intervals, for locally stationary (nonstationary) time series. See Nason, G P (2013) "A test for second-order stationarity and approximate confidence intervals for localized autocovariance for locally stationary time series." Journal of the Royal Statistical Society, Series B, 75, 879-904. <doi:10.1111/rssb.12015>.
Author: Guy Nason [aut, cre]
Maintainer: Guy Nason <g.nason@imperial.ac.uk>

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Package lm.beta updated to version 1.6-2 with previous version 1.5-1 dated 2014-12-28

Title: Add Standardized Regression Coefficients to lm-Objects
Description: Adds standardized regression coefficients to objects created by lm. Also extends the S3 methods print, summary and coef with additional boolean argument standardized.
Author: Stefan Behrendt [aut, cre]
Maintainer: Stefan Behrendt <r@behrendt-stefan.de>

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New package list with initial version 9.2.1
Package: list
Version: 9.2.1
Title: Statistical Methods for the Item Count Technique and List Experiment
Depends: R (>= 3.2.0), utils, sandwich (>= 2.3-3)
Imports: VGAM (>= 0.9-8), magic (>= 1.5-6), gamlss.dist (>= 4.3-4), MASS (>= 7.3-40), quadprog (>= 1.5-5), corpcor (>= 1.6.7), mvtnorm (>= 1.0-2), coda (>= 0.17-1), stats, arm
Suggests: testthat (>= 0.9.1), knitr (>= 1.10.5)
VignetteBuilder: knitr
Description: Allows researchers to conduct multivariate statistical analyses of survey data with list experiments. This survey methodology is also known as the item count technique or the unmatched count technique and is an alternative to the commonly used randomized response method. The package implements the methods developed by Imai (2011) <doi:10.1198/jasa.2011.ap10415>, Blair and Imai (2012) <doi:10.1093/pan/mpr048>, Blair, Imai, and Lyall (2013) <doi:10.1111/ajps.12086>, Imai, Park, and Greene (2014) <doi:10.1093/pan/mpu017>, Aronow, Coppock, Crawford, and Green (2015) <doi:10.1093/jssam/smu023>, Chou, Imai, and Rosenfeld (2017) <doi:10.1177/0049124117729711>, and Blair, Chou, and Imai (2018) <https://imai.fas.harvard.edu/research/files/listerror.pdf>. This includes a Bayesian MCMC implementation of regression for the standard and multiple sensitive item list experiment designs and a random effects setup, a Bayesian MCMC hierarchical regression model with up to three hierarchical groups, the combined list experiment and endorsement experiment regression model, a joint model of the list experiment that enables the analysis of the list experiment as a predictor in outcome regression models, a method for combining list experiments with direct questions, and methods for diagnosing and adjusting for response error. In addition, the package implements the statistical test that is designed to detect certain failures of list experiments, and a placebo test for the list experiment using data from direct questions.
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-05-09 05:26:09 UTC; graeme
Author: Graeme Blair [aut, cre], Winston Chou [aut], Kosuke Imai [aut], Bethany Park [ctb], Alexander Coppock [ctb]
Maintainer: Graeme Blair <graeme.blair@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-09 09:10:05 UTC

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Package lisrelToR updated to version 0.1.5 with previous version 0.1.4 dated 2013-05-08

Title: Import Output from 'LISREL' into 'R'
Description: This is an unofficial package aimed at automating the import of 'LISREL' <https://ssicentral.com/index.php/products/lisrel/> output in R. This package or its maintainer is not in any way affiliated with the creators of 'LISREL' and 'SSI, Inc'.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package lemna updated to version 1.0.0 with previous version 0.9.2 dated 2022-03-31

Title: Lemna Ecotox Effect Model
Description: The reference implementation of model equations and default parameters for the toxicokinetic-toxicodynamic (TKTD) model of the Lemna (duckweed) aquatic plant. Lemna is a standard test macrophyte used in ecotox effect studies. The model was described and published by the SETAC Europe Interest Group Effect Modeling. It is a refined description of the Lemna TKTD model published by Schmitt et al. (2013) <doi:10.1016/j.ecolmodel.2013.01.017>.
Author: Nils Kehrein [aut, cre], SETAC Europe IG Effect Modeling [ccp]
Maintainer: Nils Kehrein <nils.kehrein@gmail.com>

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Package leiden updated to version 0.4.2 with previous version 0.3.10 dated 2022-04-28

Title: R Implementation of Leiden Clustering Algorithm
Description: Implements the 'Python leidenalg' module to be called in R. Enables clustering using the leiden algorithm for partition a graph into communities. See the 'Python' repository for more details: <https://github.com/vtraag/leidenalg> Traag et al (2018) From Louvain to Leiden: guaranteeing well-connected communities. <arXiv:1810.08473>.
Author: S. Thomas Kelly [aut, cre, trl], Vincent A. Traag [com]
Maintainer: S. Thomas Kelly <tomkellygenetics@gmail.com>

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Package langevitour updated to version 0.4 with previous version 0.2 dated 2022-03-23

Title: Langevin Tour
Description: An HTML widget that randomly tours 2D projections of numerical data. A random walk through projections of the data is shown. The user can manipulate the plot to use specified axes, or turn on projection pursuit to find an informative projection of the data. Groups within the data can be hidden or shown, as can particular axes. Known projections of interest can be added as "extra axes" and also manipulated. The underlying method to produce the random walk and projection pursuit uses Langevin dynamics. The widget can be used from within R, or included in a self-contained Rmarkdown document, or used in a Shiny app.
Author: Paul Harrison [aut, cre]
Maintainer: Paul Harrison <pfh@logarithmic.net>

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Package JWileymisc updated to version 1.3.0 with previous version 1.2.0 dated 2020-08-31

Title: Miscellaneous Utilities and Functions
Description: Miscellaneous tools and functions, including: generate descriptive statistics tables, format output, visualize relations among variables or check distributions, and generic functions for residual and model diagnostics.
Author: Joshua F. Wiley [aut, cre]
Maintainer: Joshua F. Wiley <jwiley.psych@gmail.com>

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Package jpstat updated to version 0.2.1 with previous version 0.2.0 dated 2022-02-24

Title: Tools for Easy Use of 'e-Stat' API
Description: Provides tools for using the API of 'e-Stat' (<https://www.e-stat.go.jp/>), a portal site for Japanese government statistics. Includes functions for automatic query generation, data collection and formatting.
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>

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Package interp updated to version 1.1-2 with previous version 1.1-1 dated 2022-05-03

Title: Interpolation Methods
Description: Bivariate data interpolation on regular and irregular grids, either linear or using splines are the main part of this package. It is intended to provide FOSS replacement functions for the ACM licensed akima::interp and tripack::tri.mesh functions. Linear interpolation is implemented in interp::interp(..., method="linear"), this corresponds to the call akima::interp(..., linear=TRUE) which is the default setting and covers most of akima::interp use cases in depending packages. A re-implementation of Akimas irregular grid spline interpolation (akima::interp(..., linear=FALSE)) is now also available via interp::interp(..., method="akima"). Estimators for partial derivatives are now also available in interp::locpoly(), these are a prerequisite for the spline interpolation. The basic part is a GPLed triangulation algorithm (sweep hull algorithm by David Sinclair) providing the starting point for the irregular grid interpolator. As side effect this algorithm is also used to provide replacements for almost all functions of the tripack package which also suffers from the same ACM license restrictions. All functions are designed to be backward compatible with their akima / tripack counterparts.
Author: Albrecht Gebhardt [aut, cre, cph], Roger Bivand [aut], David Sinclair [aut, cph]
Maintainer: Albrecht Gebhardt <albrecht.gebhardt@aau.at>

Diff between interp versions 1.1-1 dated 2022-05-03 and 1.1-2 dated 2022-05-10

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New package intccr with initial version 3.0.4
Package: intccr
Title: Semiparametric Competing Risks Regression under Interval Censoring
Version: 3.0.4
Author: Giorgos Bakoyannis <gbakogia@iu.edu>, Jun Park <jun.park@alumni.iu.edu>
Maintainer: Jun Park <jun.park@alumni.iu.edu>
Description: Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) /doi{10.1002/sim.7350} and the models with missing event types as described in Park, Bakoyannis, Zhang, & Yiannoutsos (2021) \doi{10.1093/biostatistics/kxaa052}. The proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
Date: 2022-05-09
Imports: alabama, doParallel, foreach, MASS, parallel, splines2, stats, utils
Suggests: R.rsp
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2022-05-09 18:05:22 UTC; Jun
Repository: CRAN
Date/Publication: 2022-05-10 08:00:02 UTC

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New package independenceWeights with initial version 0.0.1
Package: independenceWeights
Title: Estimates Weights for Confounding Control for Continuous-Valued Exposures
Version: 0.0.1
Description: Estimates weights to make a continuous-valued exposure statistically independent of a vector of pre-treatment covariates using the method proposed in Huling, Greifer, and Chen (2021) <arxiv:2107.07086>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: osqp (>= 0.6.0.3)
Imports: locfit
Suggests: cobalt
NeedsCompilation: no
Packaged: 2022-05-09 18:31:38 UTC; huling
Author: Jared Huling [aut, cre] , Noah Greifer [aut]
Maintainer: Jared Huling <jaredhuling@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-10 15:20:02 UTC

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Package hybridEnsemble updated to version 1.7.8 with previous version 1.0.0 dated 2015-05-30

Title: Build, Deploy and Evaluate Hybrid Ensembles
Description: Functions to build and deploy a hybrid ensemble consisting of different sub-ensembles such as bagged logistic regressions, random forest, stochastic boosting, kernel factory, bagged neural networks, bagged support vector machines, rotation forest, bagged k-nearest neighbors, and bagged naive Bayes. Functions to cross-validate the hybrid ensemble and plot and summarize the results are also provided. There is also a function to assess the importance of the predictors.
Author: Michel Ballings, Dauwe Vercamer, Matthias Bogaert, and Dirk Van den Poel
Maintainer: Michel Ballings <Michel.Ballings@GMail.com>

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Package hqmisc updated to version 0.2-1 with previous version 0.1-1 dated 2014-03-10

Title: Miscellaneous Convenience Functions and Dataset
Description: Miscellaneous convenience functions and wrapper functions to convert frequencies between Hz, semitones, mel and Bark, to create a matrix of dummy columns from a factor, to determine whether x lies in range [a,b], and to add a bracketed line to an existing plot. This package also contains an example data set of a stratified sample of 80 talkers of Dutch.
Author: Hugo Quene [aut, cre]
Maintainer: Hugo Quene <h.quene@uu.nl>

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Package hornpa updated to version 1.1.0 with previous version 1.0 dated 2015-03-02

Title: Horn's (1965) Test to Determine the Number of Components/Factors
Description: A stand-alone function that generates a user specified number of random datasets and computes eigenvalues using the random datasets (i.e., implements Horn's [1965, Psychometrika] parallel analysis <https://link.springer.com/article/10.1007/BF02289447>). Users then compare the resulting eigenvalues (the mean or the specified percentile) from the random datasets (i.e., eigenvalues resulting from noise) to the eigenvalues generated with the user's data. Can be used for both principal components analysis (PCA) and common/exploratory factor analysis (EFA). The output table shows how large eigenvalues can be as a result of merely using randomly generated datasets. If the user's own dataset has actual eigenvalues greater than the corresponding eigenvalues, that lends support to retain that factor/component. In other words, if the i(th) eigenvalue from the actual data was larger than the percentile of the (i)th eigenvalue generated using randomly generated data, empirical support is provided to retain that factor/component. Horn, J. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 32, 179-185.
Author: Francis Huang <huangf@missouri.edu>
Maintainer: Francis Huang <huangf@missouri.edu>

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Package HDtweedie updated to version 1.2 with previous version 1.1 dated 2013-10-22

Title: The Lasso for Tweedie's Compound Poisson Model Using an IRLS-BMD Algorithm
Description: The Tweedie lasso model implements an iteratively reweighed least square (IRLS) strategy that incorporates a blockwise majorization decent (BMD) method, for efficiently computing solution paths of the (grouped) lasso and the (grouped) elastic net methods.
Author: Wei Qian <weiqian@stat.umn.edu>, Yi Yang <yiyang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Wei Qian <weiqian@stat.umn.edu>

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Package hbim updated to version 1.1 with previous version 1.0.3 dated 2014-03-05

Title: Hill/Bliss Independence Model for Combination Vaccines
Description: Calculate expected relative risk and proportion protected assuming normally distributed log10 transformed antibody dose for a several component vaccine. Uses Hill models for each component which are combined under Bliss independence. See Saul and Fay, 2007 <DOI:10.1371/journal.pone.0000850>.
Author: Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

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Package gwrr updated to version 0.2-2 with previous version 0.2-1 dated 2013-06-19

Title: Fits Geographically Weighted Regression Models with Diagnostic Tools
Description: Fits geographically weighted regression (GWR) models and has tools to diagnose and remediate collinearity in the GWR models. Also fits geographically weighted ridge regression (GWRR) and geographically weighted lasso (GWL) models. See Wheeler (2009) <doi:10.1068/a40256> and Wheeler (2007) <doi:10.1068/a38325> for more details.
Author: David Wheeler
Maintainer: David Wheeler <dcwheels@gmail.com>

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Package gratia updated to version 0.7.3 with previous version 0.7.2 dated 2022-03-17

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre] , Henrik Singmann [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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Package gRain updated to version 1.3.10 with previous version 1.3.9 dated 2022-04-03

Title: Graphical Independence Networks
Description: Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems. Documentation of the package is provided in vignettes included in the package and in the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>). See 'citation("gRain")' for details.
Author: Soeren Hoejsgaard <sorenh@math.aau.dk>
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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New package graDiEnt with initial version 1.0.1
Package: graDiEnt
Title: Stochastic Quasi-Gradient Differential Evolution Optimization
Version: 1.0.1
Description: An optim-style implementation of the Stochastic Quasi-Gradient Differential Evolution (SQG-DE) optimization algorithm first published by Sala, Baldanzini, and Pierini (2018; <doi:10.1007/978-3-319-72926-8_27>). This optimization algorithm fuses the robustness of the population-based global optimization algorithm "Differential Evolution" with the efficiency of gradient-based optimization. The derivative-free algorithm uses population members to build stochastic gradient estimates, without any additional objective function evaluations. Sala, Baldanzini, and Pierini argue this algorithm is useful for 'difficult optimization problems under a tight function evaluation budget.' This package can run SQG-DE in parallel and sequentially.
License: MIT + file LICENSE
URL: https://github.com/bmgaldo/graDiEnt
BugReports: https://github.com/bmgaldo/graDiEnt
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, doParallel
NeedsCompilation: no
Packaged: 2022-05-09 20:15:25 UTC; brendan
Author: Brendan Matthew Galdo [aut, cre]
Maintainer: Brendan Matthew Galdo <Brendan.m.galdo@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-10 16:40:02 UTC

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Package gpboost updated to version 0.7.6.2 with previous version 0.7.5 dated 2022-05-05

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2020) <arXiv:2004.02653> and Sigrist (2021) <arXiv:2105.08966> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the included version of Eigen [ctb, cph], Timot [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package googleVis updated to version 0.7.0 with previous version 0.6.12 dated 2022-04-06

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

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Package glmmML updated to version 1.1.3 with previous version 1.1.2 dated 2022-04-13

Title: Generalized Linear Models with Clustering
Description: Binomial and Poisson regression for clustered data, fixed and random effects with bootstrapping.
Author: Goeran Brostroem [aut, cre], Jianming Jin [ctb], Henrik Holmberg [ctb]
Maintainer: Goeran Brostroem <goran.brostrom@umu.se>

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New package ghyp with initial version 1.6.2
Package: ghyp
Version: 1.6.2
Date: 2022-04-27
Title: Generalized Hyperbolic Distribution and Its Special Cases
Author: Marc Weibel, David Luethi, Wolfgang Breymann
Maintainer: Marc Weibel <marc.weibel@quantsulting.ch>
LazyData: no
Depends: R(>= 2.7), methods, numDeriv, graphics, stats, MASS
Description: Detailed functionality for working with the univariate and multivariate Generalized Hyperbolic distribution and its special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance Gamma (VG), skewed Student-t and Gaussian distribution). Especially, it contains fitting procedures, an AIC-based model selection routine, and functions for the computation of density, quantile, probability, random variates, expected shortfall and some portfolio optimization and plotting routines as well as the likelihood ratio test. In addition, it contains the Generalized Inverse Gaussian distribution. See Chapter 3 of A. J. McNeil, R. Frey, and P. Embrechts. Quantitative risk management: Concepts, techniques and tools. Princeton University Press, Princeton (2005).
License: GPL (>= 2)
Encoding: latin1
Repository: CRAN
NeedsCompilation: yes
Packaged: 2022-05-09 09:54:08 UTC; marc
Date/Publication: 2022-05-09 10:10:02 UTC

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Package ggRandomForests updated to version 2.2.0 with previous version 2.1.0 dated 2022-04-26

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting.
Author: John Ehrlinger <john.ehrlinger@gmail.com>
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

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New package ggblanket with initial version 1.0.0
Package: ggblanket
Title: Wrappers to Make Beautiful 'ggplot2' Visualisation Simpler
Version: 1.0.0
Description: Wrapper functions around the amazing 'ggplot2' package with the objective to make beautiful 'ggplot2' visualisation simpler.
License: MIT + file LICENSE
URL: https://github.com/davidhodge931/ggblanket/, https://davidhodge931.github.io/ggblanket/
Encoding: UTF-8
Imports: dplyr, forcats, ggplot2, lubridate, magrittr, rlang, scales, snakecase, stringr, tidyr, tidyselect, viridis
Suggests: palmerpenguins, sf
NeedsCompilation: no
Packaged: 2022-05-09 20:14:05 UTC; david
Author: David Hodge [aut, cre]
Maintainer: David Hodge <davidhodge931@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-10 16:40:05 UTC

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Package GeneF updated to version 1.0.1 with previous version 1.0 dated 2007-08-25

Title: Package for Generalized F-Statistics
Description: Implementation of several generalized F-statistics. The current version includes a generalized F-statistic based on the flexible isotonic/monotonic regression or order restricted hypothesis testing. Based on: Y. Lai (2011) <doi:10.1371/journal.pone.0019754>.
Author: Yinglei Lai [aut, cre]
Maintainer: Yinglei Lai <ylai@gwu.edu>

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Package gendata updated to version 1.2.0 with previous version 1.1 dated 2015-03-01

Title: Generate and Modify Synthetic Datasets
Description: Set of functions to create datasets using a correlation matrix.
Author: Francis Huang <flh3@hotmail.com>
Maintainer: Francis Huang <flh3@hotmail.com>

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Package gap.datasets updated to version 0.0.5 with previous version 0.0.4 dated 2019-06-03

Title: Datasets for 'gap'
Description: Datasets associated with the 'gap' package. Currently, it includes an example data for regional association plot (CDKN), an example data for a genomewide association meta-analysis (OPG), data in studies of Parkinson's diease (PD), ALHD2 markers and alcoholism (aldh2), APOE/APOC1 markers and Schizophrenia (apoeapoc), cystic fibrosis (cf), a Olink/INF panel (inf1), Manhattan plots with (hr1420, mhtdata) and without (w4) gene annotations.
Author: Jing Hua Zhao [aut, cre], Swetlana Herbrandt [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

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Package FrF2 updated to version 2.2-3 with previous version 2.2-2 dated 2020-05-30

Title: Fractional Factorial Designs with 2-Level Factors
Description: Regular and non-regular Fractional Factorial 2-level designs can be created. Furthermore, analysis tools for Fractional Factorial designs with 2-level factors are offered (main effects and interaction plots for all factors simultaneously, cube plot for looking at the simultaneous effects of three factors, full or half normal plot, alias structure in a more readable format than with the built-in function alias).
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

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New package FREG with initial version 1.1
Package: FREG
Title: Functional Regression Models
Version: 1.1
Description: Different regression models with functional features are implemented: for continuous response, categorical response and ordinal response. The model for ordinal response has been published in: 'Analyzing cycling sensors data through ordinal logistic regression with functional covariates, Jacques J. and Samardzic S., Journal of the Royal Statistical Society, Series C, 1-18, 2022'.
License: GPL-3
Encoding: UTF-8
LazyData: True
LazyDataCompression: xz
Suggests: knitr, rmarkdown
Imports: fda, graphics
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-05-07 15:20:28 UTC; julienjacques
Author: Sanja Samardzic [aut], Julien Jacques [cre, ctb]
Maintainer: Julien Jacques <julien.jacques@univ-lyon2.fr>
Repository: CRAN
Date/Publication: 2022-05-09 11:50:02 UTC

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Package forceR updated to version 1.0.14 with previous version 1.0.13 dated 2022-05-02

Title: Force Measurement Analyses
Description: For cleaning and analyses of animal closing force measurements. 'forceR' was initially written and optimized to deal with insect bite force measurements, but can be used for any time series. Includes a full workflow to load, plot and crop data, correct amplifier and baseline drifts, identify individual peak shapes (bites), rescale (normalize) peak curves, and find best polynomial fits to describe and analyze force curve shapes.
Author: Peter T. Ruehr <peter.ruehr@gmail.com>
Maintainer: Peter T. Ruehr <peter.ruehr@gmail.com>

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New package fdacluster with initial version 0.1.1
Package: fdacluster
Title: Joint Clustering and Alignment of Functional Data
Version: 0.1.1
Description: Revisited clustering approaches to accommodate functional data by allowing to jointly align the data during the clustering process. Currently, shift, dilation and affine transformations only are available to perform alignment. The k-mean algorithm has been extended to integrate alignment and is fully parallelized. Hierarchical clustering will soon be available as well. References: Sangalli L.M., Secchi P., Vantini S., Vitelli V. (2010) "k-mean alignment for curve clustering" <doi:10.1016/j.csda.2009.12.008>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, nloptr
Suggests: testthat
Imports: Rcpp, magrittr, tibble, dplyr, tidyr, purrr, ggplot2, nloptr
Depends: R (>= 2.10)
URL: https://astamm.github.io/fdacluster/index.html, https://github.com/astamm/fdacluster
NeedsCompilation: yes
Packaged: 2022-05-04 16:13:01 UTC; stamm-a
Author: Laura Sangalli [aut], Piercesare Secchi [aut], Aymeric Stamm [cre, ctb] , Simone Vantini [aut], Valeria Vitelli [aut], Alessandro Zito [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@math.cnrs.fr>
Repository: CRAN
Date/Publication: 2022-05-09 12:10:11 UTC

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Package FAMT updated to version 2.6 with previous version 2.5 dated 2013-10-11

Title: Factor Analysis for Multiple Testing (FAMT) : Simultaneous Tests under Dependence in High-Dimensional Data
Description: The method proposed in this package takes into account the impact of dependence on the multiple testing procedures for high-throughput data as proposed by Friguet et al. (2009). The common information shared by all the variables is modeled by a factor analysis structure. The number of factors considered in the model is chosen to reduce the false discoveries variance in multiple tests. The model parameters are estimated thanks to an EM algorithm. Adjusted tests statistics are derived, as well as the associated p-values. The proportion of true null hypotheses (an important parameter when controlling the false discovery rate) is also estimated from the FAMT model. Graphics are proposed to interpret and describe the factors.
Author: David Causeur, Chloe Friguet, Magalie Houee-Bigot, Maela Kloareg
Maintainer: David Causeur <David.Causeur@agrocampus-ouest.fr>

Diff between FAMT versions 2.5 dated 2013-10-11 and 2.6 dated 2022-05-10

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Package fairml updated to version 0.6.3 with previous version 0.6.2 dated 2022-04-14

Title: Fair Models in Machine Learning
Description: Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al. (2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own approach that uses ridge regression to enforce fairness.
Author: Marco Scutari [aut, cre]
Maintainer: Marco Scutari <scutari@bnlearn.com>

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New package ExtremalDep with initial version 0.0.3-5
Package: ExtremalDep
Version: 0.0.3-5
Date: 2022-05-06
Title: Extremal Dependence Models
Author: Boris Beranger [aut] , Simone Padoan [cre, aut] , Giulia Marcon [aut], Steven G. Johnson [ctb]
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>
Imports: numDeriv, evd, sn, quadprog, copula, nloptr, gtools, mvtnorm, fda
Description: A set of procedures for modelling parametrically and non-parametrically the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. Adapts the methodologies derived in Beranger et al. (2019) <arxiv:1904.08251>, Beranger et al. (2017) <doi:10.1111/sjos.12240>, Beranger and Padoan (2015) <arxiv:1508.05561>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Marcon et al. (2016) <doi:10.1214/16-EJS1162>. It also refers to the works of Bortot (2010) <https://www.semanticscholar.org/paper/Tail-dependence-in-bivariate-skew-Normal-and-skew-t-Bortot/b0dc1cb608d35bf515c76e39aacc14b4de82e281?p2df>, Padoan (2011) <doi:10.1016/j.jmva.2011.01.014>, Cooley et al. (2010) <doi:10.1016/j.jmva.2010.04.007>, Husler and Reiss (1989) <doi:10.1016/0167-7152(89)90106-5>, Engelke et al. (2015) <doi:10.1111/rssb.12074>, Coles and Tawn (1991) <doi:10.1111/j.2517-6161.1991.tb01830.x>, Nikoloulopoulos et al. (2011) <doi:10.1007/s10687-008-0072-4>, Opitz (2013) <doi:10.1016/j.jmva.2013.08.008>, Tawn (1990) <doi:10.2307/2336802>, Azzalini and Capitanio (2014) <doi:10.1017/CBO9781139248891>, Azzalini (2003) <doi:10.1111/1467-9469.00322>, Azzalini and Capitanio (1999) <doi:10.1111/1467-9868.00194>, Azzalini and Dalla Valle (1996) <doi:10.1093/biomet/83.4.715>, Einmahl et al. (2013) <doi:10.1007/s10687-012-0156-z>, Naveau et al (2009) <doi:10.1093/biomet/asp001> and Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>.
License: GPL (>= 2)
LazyData: yes
NeedsCompilation: yes
Repository: CRAN
Repository/R-Forge/Project: extremaldep
Repository/R-Forge/Revision: 145
Repository/R-Forge/DateTimeStamp: 2022-05-09 06:25:17
Date/Publication: 2022-05-09 09:00:09 UTC
Packaged: 2022-05-09 06:31:20 UTC; rforge
Depends: R (>= 2.10)
URL: https://mypage.unibocconi.it/simonepadoan/

More information about ExtremalDep at CRAN
Permanent link

Package ergm updated to version 4.2.1 with previous version 4.1.2 dated 2021-07-27

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2021) <arXiv:2106.04997>.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] , Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michal Bojanowski [ctb] , [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between ergm versions 4.1.2 dated 2021-07-27 and 4.2.1 dated 2022-05-10

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 ergm-4.2.1/ergm/DESCRIPTION                                                   |   53 
 ergm-4.2.1/ergm/LICENSE                                                       |    2 
 ergm-4.2.1/ergm/MD5                                                           |  923 
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 ergm-4.2.1/ergm/man/altkstar-ergmTerm.Rd                                      |only
 ergm-4.2.1/ergm/man/as.rlebdm.ergm_conlist.Rd                                 |    2 
 ergm-4.2.1/ergm/man/asymmetric-ergmTerm.Rd                                    |only
 ergm-4.2.1/ergm/man/atleast-ergmTerm.Rd                                       |only
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 ergm-4.2.1/ergm/man/b1degrees-ergmConstraint.Rd                               |only
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 ergm-4.2.1/ergm/man/blocks-ergmConstraint.Rd                                  |only
 ergm-4.2.1/ergm/man/check.ErgmTerm.Rd                                         |   16 
 ergm-4.2.1/ergm/man/coincidence-ergmTerm.Rd                                   |only
 ergm-4.2.1/ergm/man/concurrent-ergmTerm.Rd                                    |only
 ergm-4.2.1/ergm/man/concurrentties-ergmTerm.Rd                                |only
 ergm-4.2.1/ergm/man/control.ergm.Rd                                           |   93 
 ergm-4.2.1/ergm/man/control.simulate.ergm.Rd                                  |   64 
 ergm-4.2.1/ergm/man/ctriple-ergmTerm.Rd                                       |only
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 ergm-4.2.1/ergm/man/degreedist.Rd                                             |    2 
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 ergm-4.2.1/ergm/man/ergm-deprecated.Rd                                        |    6 
 ergm-4.2.1/ergm/man/ergm-internal.Rd                                          |    6 
 ergm-4.2.1/ergm/man/ergm-options.Rd                                           |    4 
 ergm-4.2.1/ergm/man/ergm-package.Rd                                           |   10 
 ergm-4.2.1/ergm/man/ergm-parallel.Rd                                          |    2 
 ergm-4.2.1/ergm/man/ergm.Rd                                                   |   22 
 ergm-4.2.1/ergm/man/ergm.allstats.Rd                                          |    2 
 ergm-4.2.1/ergm/man/ergm.eta.Rd                                               |    2 
 ergm-4.2.1/ergm/man/ergm.exact.Rd                                             |    2 
 ergm-4.2.1/ergm/man/ergm.mple.Rd                                              |    7 
 ergm-4.2.1/ergm/man/ergmConstraint.Rd                                         |only
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 ergm-4.2.1/ergm/man/ergmMPLE.Rd                                               |   10 
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 ergm-4.2.1/ergm/man/ergm_proposal.Rd                                          |    4 
 ergm-4.2.1/ergm/man/ergm_proposal_table.Rd                                    |    4 
 ergm-4.2.1/ergm/man/ergm_state.Rd                                             |    8 
 ergm-4.2.1/ergm/man/ergm_state_cache.Rd                                       |only
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 ergm-4.2.1/ergm/man/fix.curved.Rd                                             |    6 
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 ergm-4.2.1/ergm/man/is.inCH.Rd                                                |   59 
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 ergm-4.2.1/ergm/man/macros                                                    |only
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 ergm-4.2.1/ergm/man/randomtoggle-ergmProposal.Rd                              |only
 ergm-4.2.1/ergm/man/receiver-ergmTerm.Rd                                      |only
 ergm-4.2.1/ergm/man/san.Rd                                                    |    4 
 ergm-4.2.1/ergm/man/search.ergmConstraints.Rd                                 |only
 ergm-4.2.1/ergm/man/search.ergmProposals.Rd                                   |only
 ergm-4.2.1/ergm/man/search.ergmReferences.Rd                                  |only
 ergm-4.2.1/ergm/man/search.ergmTerms.Rd                                       |   33 
 ergm-4.2.1/ergm/man/sender-ergmTerm.Rd                                        |only
 ergm-4.2.1/ergm/man/simmelian-ergmTerm.Rd                                     |only
 ergm-4.2.1/ergm/man/simmelianties-ergmTerm.Rd                                 |only
 ergm-4.2.1/ergm/man/simulate.ergm.Rd                                          |   12 
 ergm-4.2.1/ergm/man/smalldiff-ergmTerm.Rd                                     |only
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 ergm-4.2.1/ergm/man/sociality-ergmTerm.Rd                                     |only
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 ergm-4.2.1/ergm/man/strat-ergmHint.Rd                                         |only
 ergm-4.2.1/ergm/man/sum-ergmTerm.Rd                                           |only
 ergm-4.2.1/ergm/man/summary.ergm.Rd                                           |   14 
 ergm-4.2.1/ergm/man/summary.formula.Rd                                        |    4 
 ergm-4.2.1/ergm/man/summary_formula.Rd                                        |    2 
 ergm-4.2.1/ergm/man/threetrail-ergmTerm.Rd                                    |only
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 ergm-4.2.1/ergm/man/ttriple-ergmTerm.Rd                                       |only
 ergm-4.2.1/ergm/man/twopath-ergmTerm.Rd                                       |only
 ergm-4.2.1/ergm/src/CD.c                                                      |    2 
 ergm-4.2.1/ergm/src/CD.c.template.do_not_include_directly.h                   |    2 
 ergm-4.2.1/ergm/src/CD.h                                                      |    2 
 ergm-4.2.1/ergm/src/CD.h.template.do_not_include_directly.h                   |    2 
 ergm-4.2.1/ergm/src/MCMC.c                                                    |    2 
 ergm-4.2.1/ergm/src/MCMC.c.template.do_not_include_directly.h                 |    2 
 ergm-4.2.1/ergm/src/MCMC.h                                                    |    2 
 ergm-4.2.1/ergm/src/MCMC.h.template.do_not_include_directly.h                 |    2 
 ergm-4.2.1/ergm/src/MHproposal.c                                              |    2 
 ergm-4.2.1/ergm/src/MHproposal_bd.c                                           |    2 
 ergm-4.2.1/ergm/src/MHproposals.c                                             |    2 
 ergm-4.2.1/ergm/src/MHproposals.h                                             |    2 
 ergm-4.2.1/ergm/src/MHproposals_bipartite.c                                   |    2 
 ergm-4.2.1/ergm/src/MHproposals_degree.c                                      |    2 
 ergm-4.2.1/ergm/src/MHproposals_dyadnoise.c                                   |    2 
 ergm-4.2.1/ergm/src/MPLE.c                                                    |  156 
 ergm-4.2.1/ergm/src/MPLE.h                                                    |   42 
 ergm-4.2.1/ergm/src/SAN.c                                                     |    2 
 ergm-4.2.1/ergm/src/SAN.c.template.do_not_include_directly.h                  |   40 
 ergm-4.2.1/ergm/src/SAN.h                                                     |    2 
 ergm-4.2.1/ergm/src/SAN.h.template.do_not_include_directly.h                  |    2 
 ergm-4.2.1/ergm/src/allstatistics.c                                           |    2 
 ergm-4.2.1/ergm/src/changestat.c                                              |    2 
 ergm-4.2.1/ergm/src/changestats.c                                             |    2 
 ergm-4.2.1/ergm/src/changestats.h                                             |    2 
 ergm-4.2.1/ergm/src/changestats_auxnet.c                                      |    2 
 ergm-4.2.1/ergm/src/changestats_auxnetalike.c                                 |    2 
 ergm-4.2.1/ergm/src/changestats_coincidence.c                                 |    2 
 ergm-4.2.1/ergm/src/changestats_concurrentties.c                              |    2 
 ergm-4.2.1/ergm/src/changestats_dgw_sp.c                                      |    2 
 ergm-4.2.1/ergm/src/changestats_dgw_sp.h                                      |    2 
 ergm-4.2.1/ergm/src/changestats_experimental.c                                |    2 
 ergm-4.2.1/ergm/src/changestats_experimental.h                                |    2 
 ergm-4.2.1/ergm/src/changestats_homoproportion.c                              |    2 
 ergm-4.2.1/ergm/src/changestats_indices.c                                     |    2 
 ergm-4.2.1/ergm/src/changestats_interaction.c                                 |    2 
 ergm-4.2.1/ergm/src/changestats_internal.c                                    |    2 
 ergm-4.2.1/ergm/src/changestats_operator.c                                    |    2 
 ergm-4.2.1/ergm/src/changestats_spcache.c                                     |    2 
 ergm-4.2.1/ergm/src/changestats_test.c                                        |    2 
 ergm-4.2.1/ergm/src/edgetree.c                                                |    2 
 ergm-4.2.1/ergm/src/edgetree_inline.do_not_include_directly.h                 |    2 
 ergm-4.2.1/ergm/src/ergm_dyad_hashmap_utils.c                                 |    2 
 ergm-4.2.1/ergm/src/ergm_dyadgen.c                                            |    2 
 ergm-4.2.1/ergm/src/ergm_omp.c                                                |    2 
 ergm-4.2.1/ergm/src/ergm_omp.h                                                |    2 
 ergm-4.2.1/ergm/src/ergm_rlebdm.c                                             |    2 
 ergm-4.2.1/ergm/src/ergm_state.c                                              |    2 
 ergm-4.2.1/ergm/src/ergm_type_defs_common.h                                   |    2 
 ergm-4.2.1/ergm/src/ergm_wtstate.c                                            |    2 
 ergm-4.2.1/ergm/src/ergm_wttype_defs_common.h                                 |    2 
 ergm-4.2.1/ergm/src/etamap.c                                                  |    2 
 ergm-4.2.1/ergm/src/geodist.c                                                 |    2 
 ergm-4.2.1/ergm/src/geodist.h                                                 |    2 
 ergm-4.2.1/ergm/src/godfather.c                                               |    2 
 ergm-4.2.1/ergm/src/init.c                                                    |    8 
 ergm-4.2.1/ergm/src/model.c                                                   |    2 
 ergm-4.2.1/ergm/src/netstats.c                                                |    2 
 ergm-4.2.1/ergm/src/test_weighted_population.c                                |    2 
 ergm-4.2.1/ergm/src/wtCD.c                                                    |    2 
 ergm-4.2.1/ergm/src/wtCD.h                                                    |    2 
 ergm-4.2.1/ergm/src/wtMCMC.c                                                  |    2 
 ergm-4.2.1/ergm/src/wtMCMC.h                                                  |    2 
 ergm-4.2.1/ergm/src/wtMHproposal.c                                            |    2 
 ergm-4.2.1/ergm/src/wtMHproposals.c                                           |    2 
 ergm-4.2.1/ergm/src/wtSAN.c                                                   |    2 
 ergm-4.2.1/ergm/src/wtSAN.h                                                   |    2 
 ergm-4.2.1/ergm/src/wtchangestats.c                                           |    2 
 ergm-4.2.1/ergm/src/wtchangestats.h                                           |    2 
 ergm-4.2.1/ergm/src/wtchangestats_operator.c                                  |    2 
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Package EGAnet updated to version 1.1.0 with previous version 1.0.0 dated 2021-11-10

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA is part of a new area called network psychometrics that uses undirected network models for the assessment of psychometric properties. EGA estimates the number of dimensions (or factors) using graphical lasso or Triangulated Maximally Filtered Graph (TMFG) and a weighted network community detection algorithm. A bootstrap method for verifying the stability of the dimensions and items in those dimensions is available. The fit of the structure suggested by EGA can be verified using Entropy Fit Indices. A novel approach called Unique Variable Analysis (UVA) can be used to identify and reduce redundant variables in multivariate data. Network loadings, which are roughly equivalent to factor loadings when the data generating model is a factor model, are available. Network scores can also be computed using the network loadings. Dynamic EGA (dynEGA) will estimate dimensions from time series data for individual, group, and sample levels. Golino, H., & Epskamp, S. (2017) <doi:10.1371/journal.pone.0174035>. Golino, H., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Sadana, R., & Thiyagarajan, J. A. (2020) <doi:10.31234/osf.io/gzcre>. Christensen, A. P., & Golino, H. (under review) <doi:10.31234/osf.io/hz89e>. Golino, H., Moulder, R. G., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Nesselroade, J., Sadana, R., Thiyagarajan, J. A., & Boker, S. M. (2020) <doi:10.31234/osf.io/mtka2>. Christensen, A. P. & Golino, H. (2021) <doi:10.3390/psych3030032>. Christensen, A. P., Garrido, L. E., & Golino, H. (under review) <doi:10.31234/osf.io/4kra2>. Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (under review) <doi:10.31234/osf.io/tfs7c>.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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New package EL with initial version 1.1
Package: EL
Version: 1.1
Date: 2022-05-03
Title: Two-Sample Empirical Likelihood
License: GPL (>= 2)
Description: Empirical likelihood (EL) inference for two-sample problems. The following statistics are included: the difference of two-sample means, smooth Huber estimators, quantile (qdiff) and cumulative distribution functions (ddiff), probability-probability (P-P) and quantile-quantile (Q-Q) plots as well as receiver operating characteristic (ROC) curves. EL calculations are based on J. Valeinis, E. Cers (2011) <http://home.lu.lv/~valeinis/lv/petnieciba/EL_TwoSample_2011.pdf>.
Author: Janis Valeinis [aut] , Edmunds Cers [aut], Janis Gredzens [cre]
Maintainer: Janis Gredzens <janis.gredzens@lu.lv>
Repository: CRAN
NeedsCompilation: yes
Packaged: 2022-05-07 15:58:37 UTC; jgredzens
Date/Publication: 2022-05-09 09:10:09 UTC

More information about EL at CRAN
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Package ecd updated to version 0.9.2.4 with previous version 0.9.2.2 dated 2022-05-02

Title: Elliptic Lambda Distribution and Option Pricing Model
Description: Elliptic lambda distribution and lambda option pricing model have been evolved into a framework of stable-law inspired distributions, such as the extended stable lambda distribution for asset return, stable count distribution for volatility, and Lihn-Laplace process as a leptokurtic extension of Wiener process. This package contains functions for the computation of density, probability, quantile, random variable, fitting procedures, option prices, volatility smile. It also comes with sample financial data, and plotting routines.
Author: Stephen H-T. Lihn [aut, cre]
Maintainer: Stephen H-T. Lihn <stevelihn@gmail.com>

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Package dragracer updated to version 0.1.7 with previous version 0.1.6 dated 2021-08-17

Title: Data Sets for RuPaul's Drag Race
Description: These are data sets for the hit TV show, RuPaul's Drag Race. Data right now include episode-level data, contestant-level data, and episode-contestant-level data. This is a work in progress, and a love letter of a kind to RuPaul's Drag Race and the performers that have appeared on the show. This may not be the most productive use of my time, but I have tenure and what are you going to do about it? I think there is at least some value in this package if it allows the show's fandom to learn more about the R programming language around its contents.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package domir updated to version 0.3.2 with previous version 0.3.0 dated 2022-02-21

Title: Tools to Support Relative Importance Analysis
Description: Provides tools that support relative importance analysis focusing on dominance analysis. Dominance analysis is a methodology for determining the relative importance of predictors/features/independent variables (Azen, R., & Budescu, D. V. (2003) <doi:10.1037/1082-989X.8.2.129>; Groemping, U. (2007) <doi:10.1198/000313007X188252>) as well as parameter estimates (Luchman, J. N, Lei, X., & Kaplan, S. (2020) <doi:10.47263/JASEM.4(2)02>). These tools are intended to extend relative importance analysis to, effectively, any statistical or machine learning function as defined or desired by the user-especially those where the user wants to use custom importance/fit statistic or modeling function.
Author: Joseph Luchman [aut, cre]
Maintainer: Joseph Luchman <jluchman@gmail.com>

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Package DNMF updated to version 1.4.2 with previous version 1.3 dated 2015-06-09

Title: Discriminant Non-Negative Matrix Factorization
Description: Discriminant Non-Negative Matrix Factorization aims to extend the Non-negative Matrix Factorization algorithm in order to extract features that enforce not only the spatial locality, but also the separability between classes in a discriminant manner. It refers to three article, Zafeiriou, Stefanos, et al. "Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification." Neural Networks, IEEE Transactions on 17.3 (2006): 683-695. Kim, Bo-Kyeong, and Soo-Young Lee. "Spectral Feature Extraction Using dNMF for Emotion Recognition in Vowel Sounds." Neural Information Processing. Springer Berlin Heidelberg, 2013. and Lee, Soo-Young, Hyun-Ah Song, and Shun-ichi Amari. "A new discriminant NMF algorithm and its application to the extraction of subtle emotional differences in speech." Cognitive neurodynamics 6.6 (2012): 525-535.
Author: Zhilong Jia [aut, cre], Xiang Zhang [aut]
Maintainer: Zhilong Jia <zhilongjia@gmail.com>

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New package dnapath with initial version 0.7.4
Package: dnapath
Title: Differential Network Analysis using Gene Pathways
Version: 0.7.4
Description: Integrates pathway information into the differential network analysis of two gene expression datasets as described in Grimes, Potter, and Datta (2019) <doi:10.1038/s41598-019-41918-3>. Provides summary functions to break down the results at the pathway, gene, or individual connection level. The differential networks for each pathway of interest can be plotted, and the visualization will highlight any differentially expressed genes and all of the gene-gene associations that are significantly differentially connected.
Depends: R (>= 3.6)
License: GPL-2 | GPL-3
LazyData: true
Imports: Rcpp (>= 1.0.1), corpcor, igraph, ggplot2, SeqNet, Rdpack, dplyr, tibble, stats, methods, curl, graphics, grDevices, gtools, utils, wCorr, parallel
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
SystemRequirements: C++11
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, markdown, xml2, readr, bc3net, DWLasso, huge, GENIE3, minet, AnnotationDbi, reactome.db, biomaRt
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-05-09 00:39:52 UTC; gregory
Author: Tyler Grimes [aut, cre], Somnath Datta [aut]
Maintainer: Tyler Grimes <tyler.grimes@unf.edu>
Repository: CRAN
Date/Publication: 2022-05-09 09:00:05 UTC

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Package dLagM updated to version 1.1.8 with previous version 1.1.7 dated 2022-02-23

Title: Time Series Regression Models with Distributed Lag Models
Description: Provides time series regression models with one predictor using finite distributed lag models, polynomial (Almon) distributed lag models, geometric distributed lag models with Koyck transformation, and autoregressive distributed lag models. It also consists of functions for computation of h-step ahead forecasts from these models. See Demirhan (2020)(<doi:10.1371/journal.pone.0228812>) and Baltagi (2011)(<doi:10.1007/978-3-642-20059-5>) for more information.
Author: Haydar Demirhan [aut, cre, cph]
Maintainer: Haydar Demirhan <haydar.demirhan@rmit.edu.au>

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2013-04-03 1.0

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2015-01-12 1.1
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2012-05-07 2.0
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2012-11-17 1.0.1

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2017-03-08 0.3.4
2016-11-29 0.3.2
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Package CRAC (with last version 1.0) was removed from CRAN

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2014-02-14 1.0

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Package COBRA (with last version 0.99.4) was removed from CRAN

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2013-07-30 0.99.4
2013-07-26 0.99.3
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2013-03-10 0.99

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Package BayHaz (with last version 0.1-3) was removed from CRAN

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2007-10-09 0.1-3
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2014-08-15 1.0

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Package ASPBay (with last version 1.2) was removed from CRAN

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2015-01-14 1.2
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Package AMOEBA (with last version 1.1) was removed from CRAN

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2014-08-23 1.1
2014-04-29 1.0
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2012-07-02 1.0

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Package AllPossibleSpellings (with last version 1.1) was removed from CRAN

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2010-11-13 1.1
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2012-07-02 1.1

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Package DIME updated to version 1.3.0 with previous version 1.2 dated 2013-12-09

Title: Differential Identification using Mixture Ensemble
Description: A robust identification of differential binding sites method for analyzing ChIP-seq (Chromatin Immunoprecipitation Sequencing) comparing two samples that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) allowing for flexible modeling of data. Methods for Differential Identification using Mixture Ensemble (DIME) is described in: Taslim et al., (2011) <doi:10.1093/bioinformatics/btr165>.
Author: Cenny Taslim <taslim.2@osu.edu>, with contributions from Dustin Potter, Abbasali Khalili and Shili Lin <shili@stat.osu.edu>.
Maintainer: Cenny Taslim <taslim.2@osu.edu>

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Package DGEobj.utils updated to version 1.0.5 with previous version 1.0.4 dated 2021-10-27

Title: Differential Gene Expression (DGE) Analysis Utility Toolkit
Description: Provides a function toolkit to facilitate reproducible RNA-Seq Differential Gene Expression (DGE) analysis (Law (2015) <doi:10.12688/f1000research.9005.3>). The tools include both analysis work-flow and utility functions: mapping/unit conversion, count normalization, accounting for unknown covariates, and more. This is a complement/cohort to the 'DGEobj' package that provides a flexible container to manage and annotate Differential Gene Expression analysis results.
Author: John Thompson [aut], Connie Brett [aut, cre], Isaac Neuhaus [aut], Ryan Thompson [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>

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Package DGEobj updated to version 1.1.1 with previous version 1.1.0 dated 2022-03-25

Title: Differential Gene Expression (DGE) Analysis Results Data Object
Description: Provides a flexible container to manage and annotate Differential Gene Expression (DGE) analysis results (Smythe et. al (2015) <doi:10.1093/nar/gkv007>). The DGEobj has data slots for row (gene), col (samples), assays (matrix n-rows by m-samples dimensions) and metadata (not keyed to row, col, or assays). A set of accessory functions to deposit, query and retrieve subsets of a data workflow has been provided. Attributes are used to capture metadata such as species and gene model, including reproducibility information such that a 3rd party can access a DGEobj history to see how each data object was created or modified. Since the DGEobj is customizable and extensible it is not limited to RNA-seq analysis types of workflows -- it can accommodate nearly any data analysis workflow that starts from a matrix of assays (rows) by samples (columns).
Author: John Thompson [aut], Connie Brett [aut, cre], Isaac Neuhaus [aut], Ryan Thompson [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>

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Package DescToolsAddIns updated to version 1.10 with previous version 1.9 dated 2021-03-19

Title: Interactive Functions to be Used as Shortcuts in 'RStudio'
Description: 'RStudio' as of recently offers the option to define addins and assign shortcuts to them. This package contains addins for a few most frequently used functions in a data scientist's (at least mine) daily work (like str(), example(), plot(), head(), view(), Desc()). Most of these functions will use the current selection in the editor window and send the specific command to the console while instantly executing it. Assigning shortcuts to these addins will save you quite a few keystrokes.
Author: Andri Signorell
Maintainer: Andri Signorell <andri@signorell.net>

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Package DescTools updated to version 0.99.45 with previous version 0.99.44 dated 2021-11-23

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell [aut, cre], Ken Aho [ctb], Andreas Alfons [ctb], Nanina Anderegg [ctb], Tomas Aragon [ctb], Chandima Arachchige [ctb], Antti Arppe [ctb], Adrian Baddeley [ctb], Kamil Barton [ctb], Ben Bolker [ctb], Hans W. Borchers [ctb], Frederico C [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>

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Package decisionSupport updated to version 1.111 with previous version 1.110 dated 2022-02-18

Title: Quantitative Support of Decision Making under Uncertainty
Description: Supporting the quantitative analysis of binary welfare based decision making processes using Monte Carlo simulations. Decision support is given on two levels: (i) The actual decision level is to choose between two alternatives under probabilistic uncertainty. This package calculates the optimal decision based on maximizing expected welfare. (ii) The meta decision level is to allocate resources to reduce the uncertainty in the underlying decision problem, i.e to increase the current information to improve the actual decision making process. This problem is dealt with using the Value of Information Analysis. The Expected Value of Information for arbitrary prospective estimates can be calculated as well as Individual Expected Value of Perfect Information. The probabilistic calculations are done via Monte Carlo simulations. This Monte Carlo functionality can be used on its own.
Author: Eike Luedeling [cre, aut] , Lutz Goehring [aut] , Katja Schiffers [aut] , Cory Whitney [aut] , Eduardo Fernandez [aut]
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Package ContaminatedMixt updated to version 1.3.7 with previous version 1.3.6 dated 2021-11-15

Title: Clustering and Classification with the Contaminated Normal
Description: Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) <doi:10.18637/jss.v085.i10>.
Author: Antonio Punzo, Angelo Mazza, Paul D. McNicholas
Maintainer: Angelo Mazza <a.mazza@unict.it>

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New package COMIX with initial version 0.1.4
Package: COMIX
Title: Coarsened Mixtures of Hierarchical Skew Kernels
Version: 0.1.4
Description: Bayesian fit of a Dirichlet Process Mixture with hierarchical multivariate skew normal kernels and coarsened posteriors. For more information, see Gorsky, Chan and Ma (2020) <arXiv:2001.06451>.
License: CC0
Encoding: UTF-8
Imports: Rcpp (>= 0.12.18)
Suggests: sn, knitr
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-05-09 17:15:42 UTC; hhh
Author: S. Gorsky [aut, cre], C. Chan [ctb], L. Ma [ctb]
Maintainer: S. Gorsky <sgorsky@umass.edu>
Repository: CRAN
Date/Publication: 2022-05-10 15:10:02 UTC

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Package clinPK updated to version 0.11.1 with previous version 0.9.0 dated 2017-06-19

Title: Clinical Pharmacokinetics Toolkit
Description: Calculates equations commonly used in clinical pharmacokinetics and clinical pharmacology, such as equations for dose individualization, compartmental pharmacokinetics, drug exposure, anthropomorphic calculations, clinical chemistry, and conversion of common clinical parameters. Where possible and relevant, it provides multiple published and peer-reviewed equations within the respective R function.
Author: Ron Keizer [aut], Jasmine Hughes [aut], Dominic Tong [aut], Kara Woo [aut, cre], InsightRX [cph, fnd]
Maintainer: Kara Woo <kara@insight-rx.com>

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Package choplump updated to version 1.1.1 with previous version 1.0-0.4 dated 2014-11-24

Title: Permutation Test for Some Positive and Many Zero Responses
Description: Calculates permutation tests that can be powerful for comparing two groups with some positive but many zero responses (see Follmann, Fay, and Proschan <DOI:10.1111/j.1541-0420.2008.01131.x>).
Author: Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

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Package CCAMLRGIS updated to version 4.0.0 with previous version 3.2.0 dated 2021-09-08

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

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Package cansim updated to version 0.3.11 with previous version 0.3.10 dated 2021-09-27

Title: Accessing Statistics Canada Data Table and Vectors
Description: Searches for, accesses, and retrieves new-format and old-format Statistics Canada data tables, as well as individual vectors, as tidy data frames. This package deals with encoding issues, allows for bilingual English or French language data retrieval, and bundles convenience functions to make it easier to work with retrieved table data. Optional caching features are provided.
Author: Jens von Bergmann [cre], Dmitry Shkolnik [aut]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Permanent link

New package Canek with initial version 0.2.1
Package: Canek
Title: Batch Correction of Single Cell Transcriptome Data
Version: 0.2.1
Description: Non-linear/linear hybrid method for batch-effect correction that uses Mutual Nearest Neighbors (MNNs) to identify similar cells between datasets. Reference: Loza M. et al. (NAR Genomics and Bioinformatics, 2020) <doi:10.1093/nargab/lqac022>.
Depends: R (>= 2.10)
Imports: FNN, irlba, numbers, fpc, bluster, igraph, matrixStats
Suggests: testthat (>= 2.1.0), Seurat, SingleCellExperiment, SummarizedExperiment, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-04-18 07:52:49 UTC; martin
Author: Martin Loza [aut, cre] , Diego Diez [aut]
Maintainer: Martin Loza <martin.loza.lopez@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-10 10:50:02 UTC

More information about Canek at CRAN
Permanent link

Package bp updated to version 2.1.0 with previous version 2.0.1 dated 2021-12-07

Title: Blood Pressure Analysis in R
Description: A comprehensive package to aid in the analysis of blood pressure data of all forms by providing both descriptive and visualization tools for researchers.
Author: John Schwenck [aut, cre], Irina Gaynanova [aut]
Maintainer: John Schwenck <jschwenck12@gmail.com>

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Package bolasso updated to version 0.2.0 with previous version 0.1.0 dated 2022-01-04

Title: Model Consistent Lasso Estimation Through the Bootstrap
Description: Implements the bolasso algorithm for consistent variable selection and estimation accuracy. Includes support for many parallel backends via the future package. For details see: Bach (2008), 'Bolasso: model consistent Lasso estimation through the bootstrap', <arXiv:0804.1302>.
Author: Daniel Molitor [aut, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>

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Permanent link

Package bioRad updated to version 0.6.0 with previous version 0.5.2 dated 2020-05-11

Title: Biological Analysis and Visualization of Weather Radar Data
Description: Extract, visualize and summarize aerial movements of birds and insects from weather radar data. See <doi:10.1111/ecog.04028> for a software paper describing package and methodologies.
Author: Adriaan M. Dokter [aut, cre] , Peter Desmet [aut] , Bart Hoekstra [ctb] , Bart Kranstauber [ctb] , Hidde Leijnse [ctb] , Cecilia Nilsson [ctb] , Nicolas Noe [ctb] , Raphael Nussbaumer [ctb] , Jurriaan Spaaks [ctb], Stijn Van Hoey [aut] , Lourens Veen [...truncated...]
Maintainer: Adriaan M. Dokter <amd427@cornell.edu>

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Package Bhat updated to version 0.9-12 with previous version 0.9-10 dated 2013-01-16

Title: General Likelihood Exploration
Description: Provides functions for Maximum Likelihood Estimation, Markov Chain Monte Carlo, finding confidence intervals. The implementation is heavily based on the original Fortran source code translated to R.
Author: Georg Luebeck [aut] , Rafael Meza [aut, cre] , Alexander Gaenko [ctb]
Maintainer: Rafael Meza <rmeza@umich.edu>

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Package betaBayes updated to version 1.0.1 with previous version 1.0 dated 2021-06-08

Title: Bayesian Beta Regression
Description: Provides a class of Bayesian beta regression models for the analysis of continuous data with support restricted to an unknown finite support. The response variable is modeled using a four-parameter beta distribution with the mean or mode parameter depending linearly on covariates through a link function. When the response support is known to be (0,1), the above class of models reduce to traditional (0,1) supported beta regression models. Model choice is carried out via the logarithm of the pseudo marginal likelihood (LPML), the deviance information criterion (DIC), and the Watanabe-Akaike information criterion (WAIC). See Zhou and Huang (2022) <doi:10.1016/j.csda.2021.107345>.
Author: Haiming Zhou [aut, cre, cph], Xianzheng Huang [aut]
Maintainer: Haiming Zhou <haiming2019@gmail.com>

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Package BEKKs updated to version 1.2.1 with previous version 1.2.0 dated 2022-05-02

Title: Multivariate Conditional Volatility Modelling and Forecasting
Description: Methods and tools for estimating, simulating and forecasting of so-called BEKK-models (named after Baba, Engle, Kraft and Kroner) based on the fast Berndt–Hall–Hall–Hausman (BHHH) algorithm described in Hafner and Herwartz (2008) <doi:10.1007/s00184-007-0130-y>.
Author: Markus Fuelle [aut], Helmut Herwartz [aut], Alexander Lange [aut, cre]
Maintainer: Alexander Lange <alexander.lange@uni-goettingen.de>

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Package BE updated to version 0.2.1 with previous version 0.2.0 dated 2022-04-01

Title: Bioequivalence Study Data Analysis
Description: Analyze bioequivalence study data with industrial strength. Sample size could be determined for various crossover designs, such as 2x2 design, 2x4 design, 4x4 design, Balaam design, Two-sequence dual design, and William design. Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package BayesTools updated to version 0.2.10 with previous version 0.2.8 dated 2022-04-20

Title: Tools for Bayesian Analyses
Description: Provides tools for conducting Bayesian analyses. The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package barcode updated to version 1.3.0 with previous version 1.1 dated 2012-02-20

Title: Render Barcode Distribution Plots
Description: The function \code{barcode()} produces a histogram-like plot of a distribution that shows granularity in the data.
Author: John W. Emerson and Walton A. Green and John A. Hartigan
Maintainer: John W. Emerson <john.emerson@yale.edu>

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New package BayesRGMM with initial version 2.2
Package: BayesRGMM
Title: Bayesian Robust Generalized Mixed Models for Longitudinal Data
Version: 2.2
Depends: R (>= 3.5.0)
Date: 2022-05-06
Description: To perform model estimation using MCMC algorithms with Bayesian methods for incomplete longitudinal studies on binary and ordinal outcomes that are measured repeatedly on subjects over time with drop-outs. Details about the method can be found in the vignette or <https://sites.google.com/view/kuojunglee/r-packages/bayesrgmm>.
License: GPL-2
URL: https://sites.google.com/view/kuojunglee/r-packages
Encoding: UTF-8
Imports: Rcpp (>= 1.0.1), MASS, batchmeans, abind, reshape, msm, mvtnorm, plyr, Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Suggests: testthat
NeedsCompilation: yes
Packaged: 2022-05-09 15:03:10 UTC; kuojunglee
Author: Kuo-Jung Lee [aut, cre] , Hsing-Ming Chang [ctb], Ray-Bing Chen [ctb], Keunbaik Lee [ctb], Chanmin Kim [ctb]
Maintainer: Kuo-Jung Lee <kuojunglee@ncku.edu.tw>
Repository: CRAN
Date/Publication: 2022-05-10 12:30:13 UTC

More information about BayesRGMM at CRAN
Permanent link

Package astsa updated to version 1.15 with previous version 1.14 dated 2021-09-02

Title: Applied Statistical Time Series Analysis
Description: Data sets and scripts to accompany Time Series Analysis and Its Applications: With R Examples (4th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2017, <DOI:10.1007/978-3-319-52452-8>, and Time Series: A Data Analysis Approach Using R. Chapman-Hall, 2019, <DOI:10.1201/9780429273285>.
Author: David Stoffer [aut, cre], Nicky Poison [ctb, mus, spy]
Maintainer: David Stoffer <stoffer@pitt.edu>

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Package arrow updated to version 8.0.0 with previous version 7.0.0 dated 2022-02-10

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut, cre], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut], DragoČ™ Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Javier Luraschi [ctb], Karl Dunkle Werner [ctb] , Jeffrey Wong [ctb [...truncated...]
Maintainer: Neal Richardson <neal@ursalabs.org>

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 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/expression_benchmark.cc                    |   62 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/hash_join_dict.cc                          |    1 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/hash_join_node.cc                          |  138 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/key_compare.cc                             |   25 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/key_compare_avx2.cc                        |   14 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/key_encode.cc                              |   93 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/key_hash.cc                                | 1031 ++-
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/key_hash.h                                 |  225 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/test_util.cc                               |    4 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/exec/util.h                                     |   22 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/function.cc                                     |    8 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/function_internal.h                             |    6 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/CMakeLists.txt                          |    1 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/aggregate_basic.cc                      |   15 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/aggregate_basic_internal.h              |   22 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/chunked_internal.h                      |   99 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/codegen_internal.cc                     |   33 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/copy_data_internal.h                    |only
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/hash_aggregate.cc                       |  933 ++-
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_arithmetic.cc                    |  531 +
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_cast_nested.cc                   |   87 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_cast_string.cc                   |    7 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_compare_benchmark.cc             |   43 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_if_else.cc                       |  117 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_temporal_benchmark.cc            |only
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_temporal_unary.cc                |  342 +
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/scalar_validity.cc                      |   72 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/temporal_internal.h                     |    8 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/test_util.cc                            |    7 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/test_util.h                             |    4 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/vector_replace.cc                       |  406 -
 arrow-8.0.0/arrow/tools/cpp/src/arrow/compute/kernels/vector_sort.cc                          |   29 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/csv/CMakeLists.txt                                      |    1 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/csv/options.h                                           |    3 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/dataset/file_csv.cc                                     |   30 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/dataset/file_ipc.cc                                     |   32 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/dataset/file_orc.cc                                     |   22 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/dataset/partition.cc                                    |  238 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/dataset/partition.h                                     |   51 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/dataset/test_util.h                                     |   26 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/filesystem/s3_test_util.cc                              |   22 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/flight/CMakeLists.txt                                   |   73 
 arrow-8.0.0/arrow/tools/cpp/src/arrow/flight/client.cc                                        | 1414 +---
 arrow-8.0.0/arrow/tools/cpp/src/arrow/flight/client.h                                         |  192 
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 arrow-8.0.0/arrow/tools/cpp/src/arrow/flight/serialization_internal.cc                        |  569 -
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 arrow-8.0.0/arrow/tools/dotenv                                                                |   18 
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 509 files changed, 23405 insertions(+), 11224 deletions(-)

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