Tue, 11 Jan 2022

Package fitConic updated to version 1.2 with previous version 1.1 dated 2020-06-25

Title: Fit Data to Any Conic Section
Description: Fit data to an ellipse, hyperbola, or parabola. Bootstrapping is available when needed. The conic curve can be rotated through an arbitrary angle and the fit will still succeed. Helper functions are provided to convert generator coefficients from one style to another, generate test data sets, rotate conic section parameters, and so on. References include Nikolai Chernov (2014) "Fitting ellipses, circles, and lines by least squares" <https://people.cas.uab.edu/~mosya/cl/>; A. W. Fitzgibbon, M. Pilu, R. B. Fisher (1999) "Direct Least Squares Fitting of Ellipses" IEEE Trans. PAMI, Vol. 21, pages 476-48; N. Chernov, Q. Huang, and H. Ma (2014) "Fitting quadratic curves to data points", British Journal of Mathematics & Computer Science, 4, 33-60; N. Chernov and H. Ma (2011) "Least squares fitting of quadratic curves and surfaces", Computer Vision, Editor S. R. Yoshida, Nova Science Publishers, pp. 285-302.
Author: Carl Witthoft [aut, cre], Jose Gama [ctb], Nikolai Chernov [ctb]
Maintainer: Carl Witthoft <carl@witthoft.com>

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Package SDLfilter updated to version 2.2.0 with previous version 2.1.2 dated 2021-11-02

Title: Filtering and Assessing the Sample Size of Tracking Data
Description: Functions to filter GPS/Argos locations, as well as assessing the sample size for the analysis of animal distributions. The filters remove temporal and spatial duplicates, fixes located at a given height from estimated high tide line, and locations with high error as described in Shimada et al. (2012) <doi:10.3354/meps09747> and Shimada et al. (2016) <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal distributions can be assessed by the conventional area-based approach or the alternative probability-based approach as described in Shimada et al. (2021) <doi:10.1111/2041-210X.13506>.
Author: Takahiro Shimada
Maintainer: Takahiro Shimada <taka.shimada@gmail.com>

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Package MinBAR updated to version 1.1.3 with previous version 1.1.2 dated 2020-11-04

Title: Determining the Minimal Background Area for Species Distribution Models
Description: A versatile tool that aims at (1) defining the minimum background extent necessary to fit Species Distribution Models reliable enough to extract ecologically relevant conclusions from them and (2) optimizing the modelling process in terms of computation demands. See Rotllan-Puig, X. & Traveset, A. (2021) <https://www.sciencedirect.com/science/article/pii/S0304380020304191>.
Author: Xavier Rotllan-Puig [aut, cre], Anna Traveset [aut]
Maintainer: Xavier Rotllan-Puig <xavier.rotllan.puig@aster-projects.cat>

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Package itsdm updated to version 0.1.1 with previous version 0.1.0 dated 2022-01-07

Title: Isolation Forest-Based Presence-Only Species Distribution Modeling
Description: Collection of R functions to do purely presence-only species distribution modeling with isolation forest (iForest) and its variations such as Extended isolation forest and SCiForest. See the details of these methods in references: Liu, F.T., Ting, K.M. and Zhou, Z.H. (2008) <doi:10.1109/ICDM.2008.17>, Hariri, S., Kind, M.C. and Brunner, R.J. (2019) <doi:10.1109/TKDE.2019.2947676>, Liu, F.T., Ting, K.M. and Zhou, Z.H. (2010) <doi:10.1007/978-3-642-15883-4_18>, Guha, S., Mishra, N., Roy, G. and Schrijvers, O. (2016) <https://proceedings.mlr.press/v48/guha16.html>, Cortes, D. (2021) <arXiv:2110.13402>. Additionally, Shapley values are used to explain model inputs and outputs. See details in references: Shapley, L.S. (1953) <doi:10.1515/9781400881970-018>, Lundberg, S.M. and Lee, S.I. (2017) <https://dl.acm.org/doi/abs/10.5555/3295222.3295230>, Molnar, C. (2020) <ISBN:978-0-244-76852-2>, Štrumbelj, E. and Kononenko, I. (2014) <doi:10.1007/s10115-013-0679-x>. itsdm also provides functions to diagnose variable response, analyze variable importance, draw spatial dependence of variables and examine variable contribution. As utilities, the package includes a few functions to download bioclimatic variables including 'WorldClim' version 2.0 (see Fick, S.E. and Hijmans, R.J. (2017) <doi:10.1002/joc.5086>) and 'CMCC-BioClimInd' (see Noce, S., Caporaso, L. and Santini, M. (2020) <doi:10.1038/s41597-020-00726-5>.
Author: Lei Song [aut, cre] (<https://orcid.org/0000-0002-4371-1473>), Lyndon Estes [ths]
Maintainer: Lei Song <lsong@clarku.edu>

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Package FastJM updated to version 1.0.1 with previous version 1.0.0 dated 2022-01-06

Title: Semi-Parametric Joint Modeling of Longitudinal and Survival Data
Description: Maximum likelihood estimation for the semi-parametric joint modeling of competing risks and longitudinal data applying customized linear scan algorithms, proposed by Li and colleagues (2021) <arXiv:2110.14822>. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-fixed covariates. The longitudinal outcome is modelled using a linear mixed effects model. The association is captured by shared random effects. The model is estimated using an Expectation Maximization algorithm.
Author: Shanpeng Li [aut, cre], Ning Li [ctb], Hong Wang [ctb], Jin Zhou [ctb], Hua Zhou [ctb], Gang Li [ctb]
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>

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Package DAMisc updated to version 1.7.2 with previous version 1.6.2 dated 2020-11-12

Title: Dave Armstrong's Miscellaneous Functions
Description: Miscellaneous set of functions I use in my teaching either at the University of Western Ontario or the Inter-university Consortium for Political and Social Research (ICPSR) Summer Program in Quantitative Methods. Broadly, the functions help with presentation and interpretation of LMs and GLMs, but also implement some new tools like Alternating Least Squares Optimal Scaling for dependent variables, a Bayesian analog to the ALSOS algorithm. There are also tools to help understand interactions in both LMs and binary GLMs.
Author: Dave Armstrong [aut, cre]
Maintainer: Dave Armstrong <dave@quantoid.net>

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Package TapeR updated to version 0.5.0 with previous version 0.3.3 dated 2015-08-10

Title: Flexible Tree Taper Curves Based on Semiparametric Mixed Models
Description: Implementation of functions for fitting taper curves (a semiparametric linear mixed effects taper model) to diameter measurements along stems. Further functions are provided to estimate the uncertainty around the predicted curves, to calculate timber volume (also by sections) and marginal (e.g., upper) diameters. For cases where tree heights are not measured, methods for estimating additional variance in volume predictions resulting from uncertainties in tree height models (tariffs) are provided. The example data include the taper curve parameters for Norway spruce used in the 3rd German NFI fitted to 380 trees and a subset of section-wise diameter measurements of these trees. The functions implemented here are detailed in Kublin, E., Breidenbach, J., Kaendler, G. (2013) <doi:10.1007/s10342-013-0715-0>.
Author: Edgar Kublin [aut], Johannes Breidenbach [ctb], Christian Vonderach [ctb, cre]
Maintainer: Christian Vonderach <christian.vonderach@forst.bwl.de>

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Package RobustCalibration updated to version 0.5.2 with previous version 0.5.1 dated 2018-05-14

Title: Robust Calibration of Imperfect Mathematical Models
Description: Implements full Bayesian analysis for calibrating mathematical models with new methodology for modeling the discrepancy function. It allows for emulation, calibration and prediction using complex mathematical model outputs and experimental data. See the reference: Mengyang Gu and Long Wang (2018) <arXiv:1707.08215>, Mengyang Gu, Fangzheng Xie and Long Wang (2021) <arXiv:1807.03829>, Mengyang Gu, Kyle Anderson and Erika McPhillips (2021) <arXiv:1810.11664>.
Author: Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

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Package LEGIT updated to version 1.4.0 with previous version 1.3.1 dated 2019-08-29

Title: Latent Environmental & Genetic InTeraction (LEGIT) Model
Description: Constructs genotype x environment interaction (GxE) models where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score) using the alternating optimization algorithm by Jolicoeur-Martineau et al. (2017) <arXiv:1703.08111>. This approach has greatly enhanced predictive power over traditional GxE models which include only a single genetic variant and a single environmental exposure. Although this approach was originally made for GxE modelling, it is flexible and does not require the use of genetic and environmental variables. It can also handle more than 2 latent variables (rather than just G and E) and 3-way interactions or more. The LEGIT model produces highly interpretable results and is very parameter-efficient thus it can even be used with small sample sizes (n < 250). Tools to determine the type of interaction (vantage sensitivity, diathesis-stress or differential susceptibility), with any number of genetic variants or environments, are available <arXiv:1712.04058>. The software can now produce mixed-effects LEGIT models through the lme4 package.
Author: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Maintainer: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>

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Package crypto2 updated to version 1.4.2 with previous version 1.4.0 dated 2022-01-10

Title: Download Crypto Currency Data from 'CoinMarketCap' without 'API'
Description: Retrieves crypto currency information and historical prices as well as information on the exchanges they are listed on. Historical data contains daily open, high, low and close values for all crypto currencies. All data is scraped from <https://coinmarketcap.com> via their 'web-api'.
Author: Sebastian Stoeckl [aut, cre] (<https://orcid.org/0000-0002-4196-6093>, Package commissioner and maintainer.), Jesse Vent [ctb] (Creator of the crypto package that provided the idea and basis for this package.)
Maintainer: Sebastian Stoeckl <sebastian.stoeckl@uni.li>

Diff between crypto2 versions 1.4.0 dated 2022-01-10 and 1.4.2 dated 2022-01-11

 DESCRIPTION           |    6 +++---
 MD5                   |   10 +++++-----
 NEWS.md               |    8 ++++++++
 R/crypto_history.R    |   10 +++++-----
 R/crypto_list.R       |   10 ----------
 man/crypto_history.Rd |    3 ---
 6 files changed, 21 insertions(+), 26 deletions(-)

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Package this.path updated to version 0.5.0 with previous version 0.4.4 dated 2021-03-21

Title: Get Executing Script's Path, from 'RStudio', 'Rgui', 'Rscript' (Command-Line / / Terminal), and 'source'
Description: Determine the full path of the executing script. Works when running a line or selection from a script in 'RStudio' and 'Rgui', when using 'source', 'sys.source', 'debugSource' ('RStudio' exclusive), and 'testthat::source_file', and when running R from the Windows command-line / / Unix terminal.
Author: Andrew Simmons
Maintainer: Andrew Simmons <akwsimmo@gmail.com>

Diff between this.path versions 0.4.4 dated 2021-03-21 and 0.5.0 dated 2022-01-11

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Permanent link

New package podcleaner with initial version 0.1.2
Package: podcleaner
Title: Legacy Scottish Post Office Directories Cleaner
Version: 0.1.2
Maintainer: Olivier Bautheac <olivier.bautheac@strath.ac.uk>
Description: Attempts to clean optical character recognition (OCR) errors in legacy Scottish Post Office Directories. Further attempts to match records from trades and general directories.
Imports: dplyr (>= 1.0.7), fuzzyjoin (>= 0.1.6), magrittr (>= 2.0.1), progress (>= 1.2.2), purrr (>= 0.3.4), readr (>= 2.0.2), rlang (>= 0.4.12), stringi (>= 1.7.5), stringr (>= 1.4.0), tibble (>= 3.1.5), tidyr (>= 1.1.4)
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
Suggests: testthat
NeedsCompilation: no
Packaged: 2022-01-11 11:12:23 UTC; User
Author: Olivier Bautheac [aut, cre], University of Strathclyde [cph, fnd]
Repository: CRAN
Date/Publication: 2022-01-11 20:02:42 UTC

More information about podcleaner at CRAN
Permanent link

New package MLMusingR with initial version 0.1.0
Package: MLMusingR
Title: Practical Multilevel Modeling
Version: 0.1.0
Author: Francis Huang <flhuang2000@yahoo.com>
Maintainer: Francis Huang <flhuang2000@yahoo.com>
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> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/flh3/MLMusingR
BugReports: https://github.com/flh3/MLMusingR/issues
Depends: R (>= 3.5)
Imports: lme4, stats, nlme, Matrix
NeedsCompilation: no
Packaged: 2022-01-11 13:43:07 UTC; huangf
Repository: CRAN
Date/Publication: 2022-01-11 20:02:46 UTC

More information about MLMusingR at CRAN
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Package easyr updated to version 0.5-8 with previous version 0.5-4 dated 2021-06-02

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

Diff between easyr versions 0.5-4 dated 2021-06-02 and 0.5-8 dated 2022-01-11

 easyr-0.5-4/easyr/data/cblind.R                |only
 easyr-0.5-4/easyr/data/nastrings.R             |only
 easyr-0.5-8/easyr/DESCRIPTION                  |    6 +-
 easyr-0.5-8/easyr/MD5                          |   38 ++++++++--------
 easyr-0.5-8/easyr/R/cache.R                    |   59 +++++++++++++++----------
 easyr-0.5-8/easyr/R/eq.R                       |    6 ++
 easyr-0.5-8/easyr/R/fmat.R                     |   15 +++---
 easyr-0.5-8/easyr/R/hashfiles.R                |   40 +++++++++++-----
 easyr-0.5-8/easyr/R/spl.R                      |    2 
 easyr-0.5-8/easyr/R/todate.R                   |    2 
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 easyr-0.5-8/easyr/man/cache.init.Rd            |   24 +++++-----
 easyr-0.5-8/easyr/man/cache.ok.Rd              |   11 ++--
 easyr-0.5-8/easyr/man/checkeq.Rd               |    8 ++-
 easyr-0.5-8/easyr/man/clear.cache.Rd           |    4 +
 easyr-0.5-8/easyr/man/hashfiles.Rd             |    3 -
 easyr-0.5-8/easyr/man/save.cache.Rd            |   18 ++++---
 easyr-0.5-8/easyr/tests/testthat/test_ecopy.R  |   18 ++++---
 easyr-0.5-8/easyr/tests/testthat/test_eq.R     |    3 +
 easyr-0.5-8/easyr/tests/testthat/test_fmat.R   |   10 +++-
 easyr-0.5-8/easyr/tests/testthat/test_todate.R |   15 +++++-
 22 files changed, 180 insertions(+), 102 deletions(-)

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New package toastui with initial version 0.2.1
Package: toastui
Title: Interactive Tables, Calendars and Charts for the Web
Version: 0.2.1
Description: Create interactive tables, calendars and charts with 'TOAST UI' <https://ui.toast.com/> libraries to integrate in 'shiny' applications or 'rmarkdown' 'HTML' documents.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: utils, htmlwidgets, htmltools, magrittr, rlang, shiny (>= 1.1.0), shinyWidgets
Suggests: apexcharter, knitr, rmarkdown, scales, tinytest
VignetteBuilder: knitr
URL: https://dreamrs.github.io/toastui/
BugReports: https://github.com/dreamRs/toastui/issues
NeedsCompilation: no
Packaged: 2022-01-10 16:35:46 UTC; victorp
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], NHN FE Development Lab [cph] (tui-grid, tui-calendar, tui-chart libraries)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Repository: CRAN
Date/Publication: 2022-01-11 19:30:02 UTC

More information about toastui at CRAN
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New package tessellation with initial version 1.0.0
Package: tessellation
Title: Delaunay and Voronoï Tessellations
Version: 1.0.0
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Description: Delaunay and Voronoï tessellations, with emphasis on the two-dimensional and the three-dimensional cases (the package provides functions to plot the tessellations for these cases). Delaunay tessellations are computed in C with the help of the 'Qhull' library <http://www.qhull.org/>.
License: GPL-3
Encoding: UTF-8
Imports: hash, rgl, randomcoloR, utils, R6, sets, cxhull, graphics, scales, english
Suggests: rmarkdown, knitr, uniformly, viridisLite, paletteer
URL: https://github.com/stla/tessellation, https://stla.github.io/tessellation/
BugReports: https://github.com/stla/tessellation/issues
NeedsCompilation: yes
Packaged: 2022-01-10 19:07:30 UTC; SDL96354
Author: Stéphane Laurent [aut, cre], C. B. Barber [cph] (author of the Qhull library), The Geometry Center [cph]
Repository: CRAN
Date/Publication: 2022-01-11 19:30:06 UTC

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New package prinvars with initial version 0.1.0
Package: prinvars
Title: Principal Variables
Version: 0.1.0
Description: Provides methods for reducing the number of features within a data set. See Bauer JO (2021) <doi:10.1145/3475827.3475832> and Bauer JO, Drabant B (2021) <doi:10.1016/j.jmva.2021.104754> for more information on principal loading analysis.
License: MIT + file LICENSE
Imports: methods, Rdpack
RdMacros: Rdpack
Encoding: UTF-8
URL: https://github.com/Ronho/prinvars
BugReports: https://github.com/Ronho/prinvars/issues
Suggests: testthat (>= 3.0.0), AER
NeedsCompilation: no
Packaged: 2022-01-10 11:07:11 UTC; ronho
Author: Jan Bauer [aut, ctb], Ron Holzapfel [aut, cre]
Maintainer: Ron Holzapfel <ronholzapfel@outlook.de>
Repository: CRAN
Date/Publication: 2022-01-11 19:22:41 UTC

More information about prinvars at CRAN
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Package polycor updated to version 0.8-1 with previous version 0.8-0 dated 2021-12-01

Title: Polychoric and Polyserial Correlations
Description: Computes polychoric and polyserial correlations by quick "two-step" methods or ML, optionally with standard errors; tetrachoric and biserial correlations are special cases.
Author: John Fox [aut, cre], Adrian Dusa [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

Diff between polycor versions 0.8-0 dated 2021-12-01 and 0.8-1 dated 2022-01-11

 DESCRIPTION           |   21 +-
 MD5                   |   27 +--
 NAMESPACE             |   10 -
 NEWS                  |   10 +
 R/hetcor.R            |    5 
 R/hetcor.data.frame.R |  444 +++++++++++++++++++++++---------------------------
 R/hetcor.default.R    |    8 
 R/polychor.R          |   39 +++-
 R/polyserial.R        |   34 +++
 R/print.polycor.R     |  135 +++++++++------
 R/standard-methods.R  |only
 man/hetcor.Rd         |   16 +
 man/polychor.Rd       |    9 -
 man/polyserial.Rd     |    5 
 man/print.polycor.Rd  |   27 ++-
 15 files changed, 447 insertions(+), 343 deletions(-)

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New package forestploter with initial version 0.0.1
Package: forestploter
Title: Create Flexible Forest Plot
Version: 0.0.1
Description: Create forest plot based on the layout of the data. Confidence interval in multiple columns by groups can be done easily. Editing plot, inserting/adding text, applying theme to the plot and much more.
License: MIT + file LICENSE
URL: https://github.com/adayim/forestploter
BugReports: https://github.com/adayim/forestploter/issues
Encoding: UTF-8
Imports: grid, gridExtra, gtable
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-10 21:59:32 UTC; alimd
Author: Alimu Dayimu [aut, cre] (<https://orcid.org/0000-0001-9998-7463>)
Maintainer: Alimu Dayimu <ad938@cam.ac.uk>
Repository: CRAN
Date/Publication: 2022-01-11 19:32:49 UTC

More information about forestploter at CRAN
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Package ssimparser updated to version 0.1.1 with previous version 0.1.0 dated 2021-05-11

Title: Standard Schedules Information Parser
Description: Parse Standard Schedules Information file (types 2 and 3) into a Data Frame. Can also expand schedules into flights.
Author: Sebastien Thonnard
Maintainer: Sebastien Thonnard <sebastien.thonnard@icloud.com>

Diff between ssimparser versions 0.1.0 dated 2021-05-11 and 0.1.1 dated 2022-01-11

 DESCRIPTION    |    9 ++++-----
 LICENSE        |    2 +-
 MD5            |    6 +++---
 R/ssimparser.R |    6 ++++--
 4 files changed, 12 insertions(+), 11 deletions(-)

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Package squid updated to version 0.2.0 with previous version 0.1.2 dated 2019-08-06

Title: Statistical Quantification of Individual Differences
Description: A simulation-based tool made to help researchers to become familiar with multilevel variations, and to build up sampling designs for their study. This tool has two main objectives: First, it provides an educational tool useful for students, teachers and researchers who want to learn to use mixed-effects models. Users can experience how the mixed-effects model framework can be used to understand distinct biological phenomena by interactively exploring simulated multilevel data. Second, it offers research opportunities to those who are already familiar with mixed-effects models, as it enables the generation of data sets that users may download and use for a range of simulation-based statistical analyses such as power and sensitivity analysis of multilevel and multivariate data [Allegue, H., Araya-Ajoy, Y.G., Dingemanse, N.J., Dochtermann N.A., Garamszegi, L.Z., Nakagawa, S., Reale, D., Schielzeth, H. and Westneat, D.F. (2016) <doi: 10.1111/2041-210X.12659>].
Author: Hassen Allegue [aut, cre], Yimen G. Araya-Ajoy [aut], Niels J. Dingemanse [aut], Ned A. Dochtermann [aut], Laszlo Z. Garamszegi [aut], Shinichi Nakagawa [aut], Denis Reale [aut], Holger Schielzeth [aut], David F. Westneat [aut]
Maintainer: Hassen Allegue <h.all@disroot.org>

Diff between squid versions 0.1.2 dated 2019-08-06 and 0.2.0 dated 2022-01-11

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Package protti updated to version 0.2.1 with previous version 0.2.0 dated 2021-09-17

Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre] (<https://orcid.org/0000-0003-2713-778X>), Dina Schuster [aut] (<https://orcid.org/0000-0001-6611-8237>), ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

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Package MLCM updated to version 0.4.3 with previous version 0.4.2 dated 2019-03-28

Title: Maximum Likelihood Conjoint Measurement
Description: Conjoint measurement is a psychophysical procedure in which stimulus pairs are presented that vary along 2 or more dimensions and the observer is required to compare the stimuli along one of them. This package contains functions to estimate the contribution of the n scales to the judgment by a maximum likelihood method under several hypotheses of how the perceptual dimensions interact. Reference: Knoblauch & Maloney (2012) "Modeling Psychophysical Data in R". <doi:10.1007/978-1-4614-4475-6>.
Author: Ken Knoblauch [aut], Laurence T. Maloney [aut], Guillermo Aguilar [aut, cre]
Maintainer: Guillermo Aguilar <guillermo.aguilar@mail.tu-berlin.de>

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Package divest updated to version 0.10.2 with previous version 0.10.1 dated 2021-04-02

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.
Author: Jon Clayden [aut, cre] (<https://orcid.org/0000-0002-6608-0619>), Chris Rorden [aut], Martin J Fiedler [cph], Cong Xu [cph], Pascal Gloor [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package mlr3misc updated to version 0.10.0 with previous version 0.9.5 dated 2021-11-16

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

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Package fishflux (with last version 0.0.1.5) was removed from CRAN

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

2021-09-02 0.0.1.5
2021-04-27 0.0.1.4

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Package questionr updated to version 0.7.6 with previous version 0.7.5 dated 2021-10-06

Title: Functions to Make Surveys Processing Easier
Description: Set of functions to make the processing and analysis of surveys easier : interactive shiny apps and addins for data recoding, contingency tables, dataset metadata handling, and several convenience functions.
Author: Julien Barnier [aut, cre], François Briatte [aut], Joseph Larmarange [aut]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

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Package declared updated to version 0.8 with previous version 0.7 dated 2021-09-02

Title: Functions to Declare Missing Values
Description: A set of functions that offer an alternative to package 'haven', to deal with labelled objects with existing values declared as missing.
Author: Adrian Dusa [aut, cre, cph] (<https://orcid.org/0000-0002-3525-9253>)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package chillR updated to version 0.72.7 with previous version 0.72.6 dated 2021-12-05

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>). 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Luedeling and Gassner (2012) <doi:10.1016/j.agrformet.2011.10.020>). As of version 0.65, it also includes functions for generating weather scenarios with a weather generator, for conducting climate change analyses for temperature-based climatic metrics and for plotting results from such analyses. Since version 0.70, 'chillR' contains a function for interpolating hourly temperature records.
Author: Eike Luedeling [aut, cre] (<https://orcid.org/0000-0002-7316-3631>), Eduardo Fernandez [aut] (<https://orcid.org/0000-0002-6949-9685>)
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Package ipaddress updated to version 0.5.4 with previous version 0.5.3 dated 2021-07-27

Title: Tidy IP Addresses
Description: Classes and functions for working with IP (Internet Protocol) addresses and networks, inspired by the Python 'ipaddress' module. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces. It is specifically designed to work well with the 'tidyverse'.
Author: David Hall [aut, cre] (<https://orcid.org/0000-0002-2193-0480>)
Maintainer: David Hall <david.hall.physics@gmail.com>

Diff between ipaddress versions 0.5.3 dated 2021-07-27 and 0.5.4 dated 2022-01-11

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Package autoMrP updated to version 1.0.0 with previous version 0.99 dated 2021-12-15

Title: Improving MrP with Ensemble Learning
Description: A tool that improves the prediction performance of multilevel regression with post-stratification (MrP) by combining a number of machine learning methods. For information on the method, please refer to Broniecki, Wüest, Leemann (2020) ''Improving Multilevel Regression with Post-Stratification Through Machine Learning (autoMrP)'' forthcoming in 'Journal of Politics'. Final pre-print version: <https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.
Author: Reto Wüest [aut] (<https://orcid.org/0000-0002-7502-6489>), Lucas Leemann [aut] (<https://orcid.org/0000-0001-5201-869X>), Philipp Broniecki [aut, cre] (<https://orcid.org/0000-0001-9214-4404>), Hadley Wickham [ctb]
Maintainer: Philipp Broniecki <philippbroniecki@gmail.com>

Diff between autoMrP versions 0.99 dated 2021-12-15 and 1.0.0 dated 2022-01-11

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Package PAFit updated to version 1.2.5 with previous version 1.2.4 dated 2021-12-22

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <doi:10.1371/journal.pone.0137796>. Thong Pham et al. (2016) <doi:10.1038/srep32558>. Thong Pham et al. (2020) <doi:10.18637/jss.v092.i03>. Thong Pham et al. (2021) <doi:10.1093/comnet/cnab024>.
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongphamthe@gmail.com>

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New package nodeSub with initial version 1.2.2
Package: nodeSub
Title: Simulate DNA Alignments Using Node Substitutions
Version: 1.2.2
Author: Thijs Janzen
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Description: Simulate DNA sequences for the node substitution model. In the node substitution model, substitutions accumulate additionally during a speciation event, providing a potential mechanistic explanation for substitution rate variation. This package provides tools to simulate such a process, simulate a reference process with only substitutions along the branches, and provides tools to infer phylogenies from alignments. More information can be found in Janzen (2021) <doi:10.1093/sysbio/syab085>.
URL: https://github.com/thijsjanzen/nodeSub
BugReports: https://github.com/thijsjanzen/nodeSub
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
LinkingTo: Rcpp
Depends: Rcpp
Imports: RPANDA, nLTT, apTreeshape, phangorn, tibble, DDD, Rmpfr, assertthat, pbapply, phylobase, stringr, geiger, ape, testit, babette, beautier, beastier, mauricer, tracerer, rappdirs
Suggests: phytools, testthat, TreeSim, dplyr, knitr, rmarkdown, ggplot2, magrittr, tidyr
NeedsCompilation: yes
Packaged: 2022-01-10 13:58:24 UTC; janzen
Repository: CRAN
Date/Publication: 2022-01-11 10:22:42 UTC

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New package nlsic with initial version 1.0.1
Package: nlsic
Title: Non Linear Least Squares with Inequality Constraints
Version: 1.0.1
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>
Description: We solve non linear least squares problems with optional equality and/or inequality constraints. Non linear iterations are globalized with back-tracking method. Linear problems are solved by dense QR decomposition from 'LAPACK' which can limit the size of treated problems. On the other side, we avoid condition number degradation which happens in classical quadratic programming approach. Inequality constraints treatment on each non linear iteration is based on 'NNLS' method (by Lawson and Hanson). We provide an original function 'lsi_ln' for solving linear least squares problem with inequality constraints in least norm sens. Thus if Jacobian of the problem is rank deficient a solution still can be provided. However, truncation errors are probable in this case. Equality constraints are treated by using a basis of Null-space. User defined function calculating residuals must return a list having residual vector (not their squared sum) and Jacobian. If Jacobian is not in the returned list, package 'numDeriv' is used to calculated finite difference version of Jacobian. The 'NLSIC' method was fist published in Sokol et al. (2012) <doi:10.1093/bioinformatics/btr716>.
License: GPL-2
Encoding: UTF-8
Depends: nnls
Suggests: numDeriv, RUnit, limSolve
URL: https://github.com/MathsCell/nlsic
BugReports: https://github.com/MathsCell/nlsic/issues
NeedsCompilation: no
Packaged: 2022-01-10 09:24:32 UTC; sokol
Author: Serguei Sokol [aut, cre] (<https://orcid.org/0000-0002-5674-3327>)
Repository: CRAN
Date/Publication: 2022-01-11 10:02:42 UTC

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New package datapackage.r with initial version 1.3.5
Package: datapackage.r
Title: Data Package 'Frictionless Data'
Version: 1.3.5
Date: 2022-01-10
Maintainer: Kleanthis Koupidis <koupidis.okfgr@gmail.com>
Description: Work with 'Frictionless Data Packages' (<https://specs.frictionlessdata.io//data-package/>). Allows to load and validate any descriptor for a data package profile, create and modify descriptors and provides expose methods for reading and streaming data in the package. When a descriptor is a 'Tabular Data Package', it uses the 'Table Schema' package (<https://CRAN.R-project.org/package=tableschema.r>) and exposes its functionality, for each resource object in the resources field.
URL: https://github.com/frictionlessdata/datapackage-r
License: MIT + file LICENSE
BugReports: https://github.com/frictionlessdata/datapackage-r/issues
Encoding: UTF-8
Imports: config, future, httr, iterators, jsonlite, jsonvalidate, purrr, R6, R.utils, readr, rlist, stringr, tableschema.r, tools, urltools, utils, V8
Suggests: covr, curl, data.table, DBI, devtools, foreach, httptest, knitr, rmarkdown, RSQLite, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-10 16:09:51 UTC; akis_
Author: Kleanthis Koupidis [aut, cre], Lazaros Ioannidis [aut], Charalampos Bratsas [aut], Open Knowledge International [cph]
Repository: CRAN
Date/Publication: 2022-01-11 10:22:47 UTC

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New package climatrends with initial version 0.1.13
Package: climatrends
Title: Climate Variability Indices for Ecological Modelling
Version: 0.1.13
URL: https://agrdatasci.github.io/climatrends/
BugReports: https://github.com/agrdatasci/climatrends/issues
Description: Supports analysis of trends in climate change, ecological and crop modelling.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), methods
Imports: stats
Suggests: chirps, knitr, nasapower, rmarkdown, sf, testthat
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-05 20:08:10 UTC; kauefeitosadiasdesousa
Author: Kauê de Sousa [aut, cre] (<https://orcid.org/0000-0002-7571-7845>), Jacob van Etten [ctb, ths] (<https://orcid.org/0000-0001-7554-2558>), Svein Ø. Solberg [ctb, ths] (<https://orcid.org/0000-0002-4491-4483>)
Maintainer: Kauê de Sousa <kaue.desousa@inn.no>
Repository: CRAN
Date/Publication: 2022-01-11 10:02:45 UTC

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Package BigQuic updated to version 1.1-10 with previous version 1.1-9.1 dated 2021-03-01

Title: Big Quadratic Inverse Covariance Estimation
Description: Use Newton's method, coordinate descent, and METIS clustering to solve the L1 regularized Gaussian MLE inverse covariance matrix estimation problem.
Author: Khalid B. Kunji [aut, cre], Cho-Jui Hsieh [ctb], Matyas A. Sustik [ctb], Inderjit S. Dhillon [ctb], Pradeep Ravikumar [ctb], Tuo Zhao [ctb], Xingguo Li [ctb], Han Liu [ctb], Kathryn Roeder [ctb], John Lafferty [ctb], Larry Wasserman [ctb], George Karypis [ctb], Melissa O'Neill [ctb], Richard Henderson [ctb]
Maintainer: Khalid B. Kunji <kkunji@hbku.edu.qa>

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Package APCtools updated to version 1.0.1 with previous version 1.0.0 dated 2022-01-05

Title: Routines for Descriptive and Model-Based APC Analysis
Description: Age-Period-Cohort (APC) analyses are used to differentiate relevant drivers for long-term developments. The 'APCtools' package offers visualization techniques and general routines to simplify the workflow of an APC analysis. Sophisticated functions are available both for descriptive and regression model-based analyses. For the former, we use density (or ridgeline) matrices and (hexagonally binned) heatmaps as innovative visualization techniques building on the concept of Lexis diagrams. Model-based analyses build on the separation of the temporal dimensions based on generalized additive models, where a tensor product interaction surface (usually between age and period) is utilized to represent the third dimension (usually cohort) on its diagonal. Such tensor product surfaces can also be estimated while accounting for further covariates in the regression model. See Weigert et al. (2021) <doi:10.1177/1354816620987198> for methodological details.
Author: Alexander Bauer [aut, cre] (<https://orcid.org/0000-0003-3495-5131>), Maximilian Weigert [aut] (<https://orcid.org/0000-0003-4400-134X>), Hawre Jalal [aut] (<https://orcid.org/0000-0002-8224-6834>), Pauline Hohenemser [ctb]
Maintainer: Alexander Bauer <alexander.bauer@stat.uni-muenchen.de>

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Package UsingR updated to version 2.0-7 with previous version 2.0-6 dated 2018-05-01

Title: Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition
Description: A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.
Author: John Verzani <verzani@math.csi.cuny.edu>
Maintainer: John Verzani <verzani@math.csi.cuny.edu>

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Permanent link

New package ufRisk with initial version 1.0.0
Package: ufRisk
Title: Risk Measure Calculation in Financial TS
Version: 1.0.0
Description: Enables the user to calculate Value at Risk (VaR) and Expected Shortfall (ES) by means of various parametric and semiparametric GARCH-type models. For the latter the estimation of the nonparametric scale function is carried out by means of a data-driven smoothing approach. Model quality, in terms of forecasting VaR and ES, can be assessed by means of various backtesting methods such as the traffic light test for VaR and a newly developed traffic light test for ES. The approaches implemented in this package are described in e.g. Feng Y., Beran J., Letmathe S. and Ghosh S. <https://ideas.repec.org/p/pdn/ciepap/137.html> as well as Letmathe S., Feng Y. and Uhde A. (2021) <https://ideas.repec.org/p/pdn/ciepap/141.html>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: esemifar, fracdiff, rugarch, smoots, stats, utils
Depends: R (>= 2.10)
URL: https://wiwi.uni-paderborn.de/en/dep4/feng/
NeedsCompilation: no
Packaged: 2022-01-10 00:12:26 UTC; Letmode
Author: Yuanhua Feng [aut] (Paderborn University, Germany), Xuehai Zhang [aut] (Ernst & Young, Germany), Christian Peitz [aut] (Paderborn University, Germany), Dominik Schulz [aut] (Paderborn University, Germany), Shujie Li [aut] (Paderborn Universtiy, Germany), Sebastian Letmathe [aut, cre] (Paderborn University, Germany)
Maintainer: Sebastian Letmathe <sebastian.letmathe@uni-paderborn.de>
Repository: CRAN
Date/Publication: 2022-01-11 09:40:02 UTC

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Permanent link

New package tmvtnsim with initial version 0.1.0
Package: tmvtnsim
Title: Truncated Multivariate Normal and t Distribution Simulation
Version: 0.1.0
Date: 2022-01-10
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Description: Simulation of random vectors from truncated multivariate normal and t distributions based on the algorithms proposed by Yifang Li and Sujit K. Ghosh (2015) <doi:10.1080/15598608.2014.996690>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.7)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), tmvmixnorm
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-01-10 02:03:03 UTC; kaifeng
Repository: CRAN
Date/Publication: 2022-01-11 09:40:05 UTC

More information about tmvtnsim at CRAN
Permanent link

New package QZ with initial version 0.2-2
Package: QZ
Version: 0.2-2
Date: 2022-01-07
Title: Generalized Eigenvalues and QZ Decomposition
Depends: R (>= 3.6.0), methods, Matrix
Suggests: fda
LazyLoad: yes
LazyData: yes
Copyright: See QZ/inst/LAPACK_LICENSE.txt for the files in src/qz/.
Description: Generalized eigenvalues and eigenvectors use QZ decomposition (generalized Schur decomposition). The decomposition needs an N-by-N non-symmetric matrix A or paired matrices (A,B) with eigenvalues reordering mechanism. The decomposition functions are mainly based Fortran subroutines in complex*16 and double precision of LAPACK library (version 3.10.0 or later).
License: Mozilla Public License 2.0
NeedsCompilation: yes
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Packaged: 2022-01-08 02:45:47 UTC; snoweye
Author: Wei-Chen Chen [aut, cre], LAPACK authors [aut, cph]
Repository: CRAN
Date/Publication: 2022-01-11 09:52:50 UTC

More information about QZ at CRAN
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Package MultiFit updated to version 1.1.0 with previous version 1.0.1 dated 2020-01-10

Title: Multiscale Fisher's Independence Test for Multivariate Dependence
Description: Test for independence of two random vectors, learn and report the dependency structure. For more information, see Gorsky, Shai and Li Ma, Multiscale Fisher's Independence Test for Multivariate Dependence, Biometrika, accepted, January 2022.
Author: S. Gorsky, L. Ma
Maintainer: S. Gorsky <sgorsky@umass.edu>

Diff between MultiFit versions 1.0.1 dated 2020-01-10 and 1.1.0 dated 2022-01-11

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Permanent link

Package mappoly updated to version 0.3.0 with previous version 0.2.3 dated 2021-04-20

Title: Genetic Linkage Maps in Autopolyploids
Description: Construction of genetic maps in autopolyploid full-sib populations. Uses pairwise recombination fraction estimation as the first source of information to sequentially position allelic variants in specific homologues. For situations where pairwise analysis has limited power, the algorithm relies on the multilocus likelihood obtained through a hidden Markov model (HMM). For more detail, please see Mollinari and Garcia (2019) <doi:10.1534/g3.119.400378> and Mollinari et al. (2020) <doi:10.1534/g3.119.400620>.
Author: Marcelo Mollinari [aut, cre] (<https://orcid.org/0000-0002-7001-8498>), Gabriel Gesteira [aut] (<https://orcid.org/0000-0002-4106-7346>), Guilhereme Pereira [ctb] (<https://orcid.org/0000-0002-7106-8630>), Augusto Garcia [ctb] (<https://orcid.org/0000-0003-0634-3277>), Zhao-Bang Zeng [ctb] (<https://orcid.org/0000-0002-3115-1149>), Katharine Preedy [ctb, cph] (MDS ordering algorithm), Robert Gentleman [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), Ross Ihaka [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), R Foundation [cph] (C code for MLE optimization in src/pairwise_estimation.cpp), R-core [cph] (C code for MLE optimization in src/pairwise_estimation.cpp)
Maintainer: Marcelo Mollinari <mmollin@ncsu.edu>

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 mappoly-0.3.0/mappoly/tests/testthat/test-2pt.R                             |    6 
 mappoly-0.3.0/mappoly/tests/testthat/test-cahe_twopts.R                     |    2 
 mappoly-0.3.0/mappoly/tests/testthat/test-est_hmm_map.R                     |   10 
 mappoly-0.3.0/mappoly/tests/testthat/test-get_submap.R                      |    2 
 mappoly-0.3.0/mappoly/tests/testthat/test-homolog_prob.R                    |    2 
 mappoly-0.3.0/mappoly/tests/testthat/test-merge_maps.R                      |    4 
 mappoly-0.3.0/mappoly/tests/testthat/test-simulation.R                      |    4 
 mappoly-0.3.0/mappoly/tests/testthat/test-utility_func.R                    |    8 
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New package magi with initial version 1.1.3
Package: magi
Title: MAnifold-Constrained Gaussian Process Inference
Version: 1.1.3
Date: 2021-12-22
Encoding: UTF-8
Description: Provides fast and accurate inference for the parameter estimation problem in Ordinary Differential Equations, including the case when there are unobserved system components. Implements the MAGI method (MAnifold-constrained Gaussian process Inference) of Yang, Wong, and Kou (2021) <doi:10.1073/pnas.2020397118>.
License: MIT + file LICENSE
VignetteBuilder: knitr
Imports: Rcpp (>= 1.0.6), gridExtra, gridBase, grid, methods, deSolve
LinkingTo: Rcpp, RcppArmadillo, BH, roptim
Suggests: testthat, mvtnorm, covr, knitr, MASS, rmarkdown, markdown
NeedsCompilation: yes
Packaged: 2021-12-22 19:57:51 UTC; shihaoyang
Author: Shihao Yang [aut, cre] (<https://orcid.org/0000-0003-3910-4969>), Samuel W.K. Wong [aut], S.C. Kou [ctb, cph] (Contributor of MAGI method development)
Maintainer: Shihao Yang <shihao.yang@isye.gatech.edu>
Repository: CRAN
Date/Publication: 2022-01-11 09:02:42 UTC

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Package isotree updated to version 0.5.5 with previous version 0.3.9 dated 2021-10-23

Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), fair-cut forest (Cortes (2021) <arXiv:2110:13402>), robust random-cut forest (Guha, Mishra, Roy, Schrijvers (2016) <http://proceedings.mlr.press/v48/guha16.html>), and customizable variations of them, for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <arXiv:1910.12362>), and imputation of missing values (Cortes (2019) <arXiv:1911.06646>), based on random or guided decision tree splitting, and providing different metrics for scoring anomalies based on isolation depth or density (Cortes (2021) <arXiv:2111.11639>). Provides simple heuristics for fitting the model to categorical columns and handling missing data, and offers options for varying between random and guided splits, and for using different splitting criteria.
Author: David Cortes [aut, cre, cph], Thibaut Goetghebuer-Planchon [cph] (Copyright holder of included robinmap library), David Blackman [cph] (Copyright holder of original xoshiro code), Sebastiano Vigna [cph] (Copyright holder of original xoshiro code)
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between isotree versions 0.3.9 dated 2021-10-23 and 0.5.5 dated 2022-01-11

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 isotree-0.5.5/isotree/DESCRIPTION                        |   28 
 isotree-0.5.5/isotree/LICENSE                            |    2 
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 isotree-0.5.5/isotree/R/helpers.R                        |   60 
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 isotree-0.5.5/isotree/configure                          |   75 
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 isotree-0.5.5/isotree/src/crit.h                         | 1247 +++++++++--
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 39 files changed, 7374 insertions(+), 1576 deletions(-)

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New package ggmatplot with initial version 0.1.1
Package: ggmatplot
Title: Plot Columns of Two Matrices Against Each Other Using 'ggplot2'
Version: 0.1.1
Description: A quick and easy way of plotting the columns of two matrices or data frames against each other using 'ggplot2'. Although 'ggmatplot' doesn't provide the same flexibility as 'ggplot2', it can be used as a workaround for having to wrangle wide format data into long format for plotting with 'ggplot2'.
URL: https://github.com/xuan-liang/ggmatplot, https://xuan-liang.github.io/ggmatplot/
BugReports: https://github.com/xuan-liang/ggmatplot/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.4.0), ggplot2
Imports: stats
Suggests: rmarkdown, knitr, testthat, vdiffr, tibble, tidyr, dplyr, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-09 07:45:09 UTC; taozou
Author: Xuan Liang [aut, cre] (<https://orcid.org/0000-0002-0792-3751>), Francis K. C. Hui [aut] (<https://orcid.org/0000-0003-0765-3533>), Emi Tanaka [aut] (<https://orcid.org/0000-0002-1455-259X>), Dilinie Seimon [aut] (<https://orcid.org/0000-0003-4431-6077>)
Maintainer: Xuan Liang <xuan.liang@anu.edu.au>
Repository: CRAN
Date/Publication: 2022-01-11 09:02:45 UTC

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Package gggrid updated to version 0.2-0 with previous version 0.1-1 dated 2021-11-22

Title: Draw with 'grid' in 'ggplot2'
Description: An extension of 'ggplot2' that makes it easy to add raw 'grid' output, such as customised annotations, to a 'ggplot2' plot.
Author: Paul Murrell [aut, cre]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

Diff between gggrid versions 0.1-1 dated 2021-11-22 and 0.2-0 dated 2022-01-11

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New package freqdistributionNogives with initial version 0.1.1
Package: freqdistributionNogives
Title: Automated Cumulative Frequency Plots for Grouped Distribution
Version: 0.1.1
Description: Input has to be in the form of vectors of lower class limits and upper class limits and frequencies; the output will give a cumulative frequency distribution table with cumulative frequency plot.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/Harshit-Budakoti/freqdistributionNogives
Language: en-US
NeedsCompilation: no
Packaged: 2022-01-09 18:10:44 UTC; budak
Author: Harshit Budakoti [aut, cre, cph]
Maintainer: Harshit Budakoti <budakotihb@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-11 09:32:41 UTC

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Package eHOF updated to version 1.10 with previous version 1.9 dated 2020-05-22

Title: Extended HOF (Huisman-Olff-Fresco) Models
Description: Extended and enhanced hierarchical logistic regression models (called Huisman-Olff-Fresco in biology, see Huisman et al. 1993 Journal of Vegetation Science <doi:10.1111/jvs.12050>) models. Response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.
Author: Florian Jansen, Jari Oksanen
Maintainer: Florian Jansen <florian.jansen@uni-rostock.de>

Diff between eHOF versions 1.9 dated 2020-05-22 and 1.10 dated 2022-01-11

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 eHOF-1.10/eHOF/R/plot.HOF.r            |    2 +-
 eHOF-1.10/eHOF/inst/doc/eHOF.R         |   18 +++++++++---------
 eHOF-1.10/eHOF/inst/doc/eHOF.Rnw       |   20 ++++++++++----------
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New package DQAstats with initial version 0.2.1
Package: DQAstats
Title: Core Functions for Data Quality Assessment
Version: 0.2.1
Date: 2022-01-04
Description: Perform data quality assessment ('DQA') of electronic health records ('EHR'). Publication: Kapsner et al. (2021) <doi:10.1055/s-0041-1733847>.
License: GPL-3
URL: https://github.com/miracum/dqa-dqastats
BugReports: https://github.com/miracum/dqa-dqastats/issues
Imports: data.table, DIZutils, e1071, future, future.apply, jsonlite, kableExtra, knitr, magrittr, parsedate, rmarkdown, RPostgres, stats, tinytex, utils
Suggests: lintr, remotes, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-01-04 14:40:11 UTC; user
Author: Lorenz A. Kapsner [cre, aut] (<https://orcid.org/0000-0003-1866-860X>), Jonathan M. Mang [aut] (<https://orcid.org/0000-0003-0518-4710>), MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitätsklinikum Erlangen [cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@uk-erlangen.de>
Repository: CRAN
Date/Publication: 2022-01-11 09:52:53 UTC

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Package BuyseTest updated to version 2.3.10 with previous version 2.3.9 dated 2022-01-03

Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with right-censoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better than a random observation drawn from the other group (Mann-Whitney parameter). The net benefit and win ratio statistics, i.e. the difference and ratio between the probabilities relative to the intervention and control groups, can then also be estimated. Confidence intervals and p-values are obtained based on asymptotic results (Ozenne 2021 <doi:10.1177/09622802211037067>), non-parametric bootstrap, or permutations. The software enables the use of thresholds of minimal importance difference, stratification, non-prioritized endpoints (O Brien test), and can handle right-censoring and competing-risks.
Author: Brice Ozenne [aut, cre] (<https://orcid.org/0000-0001-9694-2956>), Julien Peron [ctb], Eva Cantagallo [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between BuyseTest versions 2.3.9 dated 2022-01-03 and 2.3.10 dated 2022-01-11

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Package sparkwarc updated to version 0.1.6 with previous version 0.1.5 dated 2020-12-15

Title: Load WARC Files into Apache Spark
Description: Load WARC (Web ARChive) files into Apache Spark using 'sparklyr'. This allows to read files from the Common Crawl project <http://commoncrawl.org/>.
Author: Javier Luraschi [aut], Yitao Li [aut] (<https://orcid.org/0000-0002-1261-905X>), Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

Diff between sparkwarc versions 0.1.5 dated 2020-12-15 and 0.1.6 dated 2022-01-11

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Package sparklyr.flint updated to version 0.2.2 with previous version 0.2.1 dated 2021-03-01

Title: Sparklyr Extension for 'Flint'
Description: This sparklyr extension makes 'Flint' time series library functionalities (<https://github.com/twosigma/flint>) easily accessible through R.
Author: Yitao Li [aut] (<https://orcid.org/0000-0002-1261-905X>), Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

Diff between sparklyr.flint versions 0.2.1 dated 2021-03-01 and 0.2.2 dated 2022-01-11

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Package fishualize (with last version 0.2.2) was removed from CRAN

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

2021-04-09 0.2.2
2021-03-12 0.2.1

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Package christmas updated to version 1.1.1 with previous version 1.1.0 dated 2021-12-14

Title: Generation of Different Animated Christmas Cards
Description: Generation of different Christmas cards, most of them being animated. Most of the cards can be generated in three languages (English, Catalan and Spanish). The collection started in 2009.
Author: Jose Barrera-Gomez
Maintainer: Jose Barrera-Gomez <jose.barrera@isglobal.org>

Diff between christmas versions 1.1.0 dated 2021-12-14 and 1.1.1 dated 2022-01-11

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 6 files changed, 135 insertions(+), 128 deletions(-)

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