Fri, 21 Apr 2023

New package VaRES with initial version 1.0.2
Package: VaRES
Title: Computes Value at Risk and Expected Shortfall for over 100 Parametric Distributions
Version: 1.0.2
Date: 2023-04-20
Depends: R (>= 2.15.0)
Description: Computes Value at risk and expected shortfall, two most popular measures of financial risk, for over one hundred parametric distributions, including all commonly known distributions. Also computed are the corresponding probability density function and cumulative distribution function. See Chan, Nadarajah and Afuecheta (2015) <doi:10.1080/03610918.2014.944658> for more details.
License: GPL (>= 2)
NeedsCompilation: no
BugReports: https://github.com/lbelzile/VaRES/issues/
Packaged: 2023-04-21 16:03:39 UTC; lbelzile
Author: Leo Belzile [cre] , Saralees Nadarajah [aut], Stephen Chan [aut], Emmanuel Afuecheta [aut]
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-22 00:42:37 UTC

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Package terra updated to version 1.7-29 with previous version 1.7-28 dated 2023-04-20

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.7-28 dated 2023-04-20 and 1.7-29 dated 2023-04-21

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Package ssym updated to version 1.5.8 with previous version 1.5.7 dated 2016-10-16

Title: Fitting Semi-Parametric log-Symmetric Regression Models
Description: Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.
Author: Luis Hernando Vanegas <hvanegasp@gmail.com> and Gilberto A. Paula
Maintainer: Luis Hernando Vanegas <hvanegasp@gmail.com>

Diff between ssym versions 1.5.7 dated 2016-10-16 and 1.5.8 dated 2023-04-21

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Package scatterpie updated to version 0.1.9 with previous version 0.1.8 dated 2022-09-03

Title: Scatter Pie Plot
Description: Creates scatterpie plots, especially useful for plotting pies on a map.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between scatterpie versions 0.1.8 dated 2022-09-03 and 0.1.9 dated 2023-04-21

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New package rsatscan with initial version 1.0.3
Package: rsatscan
Title: Tools, Classes, and Methods for Interfacing with 'SaTScan' Stand-Alone Software
Description: 'SaTScan'(TM) <https://www.satscan.org> is software for finding regions in Time, Space, or Time-Space that have excess risk, based on scan statistics, and uses Monte Carlo hypothesis testing to generate P-values for these regions. The 'rsatscan' package provides functions for writing R data frames in 'SaTScan'-readable formats, for setting 'SaTScan' parameters, for running 'SaTScan' in the OS, and for reading the files that 'SaTScan' creates.
Version: 1.0.3
Date: 2023-04-20
URL: <https://www.satscan.org>
Depends: R (>= 3.0.2)
Imports: utils, foreign
Suggests: knitr, rgdal (>= 0.9.1), sp (>= 1.0-9)
VignetteBuilder: knitr
License: GPL-3
LazyData: true
NeedsCompilation: no
Repository: CRAN
Packaged: 2023-04-21 17:53:37 UTC; moosaa
Author: Ken Kleinman [aut], Scott Hostovich [cre], Amer Moosa [ctb]
Maintainer: Scott Hostovich <HostovichS@imsweb.com>
Date/Publication: 2023-04-22 00:40:02 UTC

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Package rnn updated to version 1.9.0 with previous version 1.8.0 dated 2022-07-12

Title: Recurrent Neural Network
Description: Implementation of a Recurrent Neural Network architectures in native R, including Long Short-Term Memory (Hochreiter and Schmidhuber, <doi:10.1162/neco.1997.9.8.1735>), Gated Recurrent Unit (Chung et al., <arXiv:1412.3555>) and vanilla RNN.
Author: Bastiaan Quast [aut, cre]
Maintainer: Bastiaan Quast <bquast@gmail.com>

Diff between rnn versions 1.8.0 dated 2022-07-12 and 1.9.0 dated 2023-04-21

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Package Rmpfr updated to version 0.9-2 with previous version 0.9-1 dated 2023-01-31

Title: R MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler [aut, cre] , Richard M. Heiberger [ctb] , *Bin, *Dec), John C. Nash [ctb] , origin of unirootR), Hans W. Borchers [ctb] ; origin of hjkMpfr)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package qtl2 updated to version 0.32 with previous version 0.30 dated 2022-12-02

Title: Quantitative Trait Locus Mapping in Experimental Crosses
Description: Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2019) <doi:10.1534/genetics.118.301595>.
Author: Karl W Broman [aut, cre] , R Core Team [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package PreciseSums updated to version 0.6 with previous version 0.5 dated 2022-04-22

Title: Accurate Floating Point Sums and Products
Description: Most of the time floating point arithmetic does approximately the right thing. When adding sums or having products of numbers that greatly differ in magnitude, the floating point arithmetic may be incorrect. This package implements the Kahan (1965) sum <doi:10.1145/363707.363723>, Neumaier (1974) sum <doi:10.1002/zamm.19740540106>, pairwise-sum (adapted from 'NumPy', See Castaldo (2008) <doi:10.1137/070679946> for a discussion of accuracy), and arbitrary precision sum (adapted from the fsum in 'Python' ; Shewchuk (1997) <https://people.eecs.berkeley.edu/~jrs/papers/robustr.pdf>). In addition, products are changed to long double precision for accuracy, or changed into a log-sum for accuracy.
Author: Matthew Fidler [aut, cre, cph], Raymond Hettinger [cph, aut], Jonathan Shewchuk [cph, aut], Julian Taylor [cph, aut], Nathaniel Smith [cph, aut], NumPy Team [cph], Python Team [cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between PreciseSums versions 0.5 dated 2022-04-22 and 0.6 dated 2023-04-21

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Package portalr updated to version 0.4.0 with previous version 0.3.11 dated 2022-12-01

Title: Create Useful Summaries of the Portal Data
Description: Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Project. Portal is a long-term (and ongoing) experimental monitoring site in the Chihuahua desert. The raw data files can be found at <https://github.com/weecology/portaldata>.
Author: Glenda M. Yenni [aut, cre] , Hao Ye [aut] , Erica M. Christensen [aut] , Juniper L. Simonis [aut] , Ellen K. Bledsoe [aut] , Renata M. Diaz [aut] , Shawn D. Taylor [aut] , Ethan P, White [aut] , S.K. Morgan Ernest [aut] , Weecology [cph]
Maintainer: Glenda M. Yenni <glenda@weecology.org>

Diff between portalr versions 0.3.11 dated 2022-12-01 and 0.4.0 dated 2023-04-21

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New package phylocomr with initial version 0.3.4
Package: phylocomr
Title: Interface to 'Phylocom'
Description: Interface to 'Phylocom' (<https://phylodiversity.net/phylocom/>), a library for analysis of 'phylogenetic' community structure and character evolution. Includes low level methods for interacting with the three executables, as well as higher level interfaces for methods like 'aot', 'ecovolve', 'bladj', 'phylomatic', and more.
Version: 0.3.4
URL: https://docs.ropensci.org/phylocomr/, https://github.com/ropensci/phylocomr
BugReports: https://github.com/ropensci/phylocomr/issues
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Imports: tibble, sys (>= 3.2)
Suggests: testthat, knitr, rmarkdown, ape
X-schema.org-applicationCategory: Biodiversity
NeedsCompilation: yes
Packaged: 2023-04-21 19:45:40 UTC; luna
Author: Jeroen Ooms [aut], Scott Chamberlain [aut] , Cam Webb [cph] ), David Ackerly [cph] ), Steven Kembel [cph] ), Luna Luisa Sanchez Reyes [aut, cre]
Maintainer: Luna Luisa Sanchez Reyes <sanchez.reyes.luna@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-22 00:22:30 UTC

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Package ceramic updated to version 0.8.0 with previous version 0.6.0 dated 2019-07-20

Title: Download Online Imagery Tiles
Description: Download imagery tiles to a standard cache and load the data into raster objects. Facilities for 'AWS' terrain <https://registry.opendata.aws/terrain-tiles/> terrain and 'Mapbox' <https://www.mapbox.com/> servers are provided.
Author: Michael Sumner [aut, cre] , Miles McBain [ctb] , Ben Raymond [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>

Diff between ceramic versions 0.6.0 dated 2019-07-20 and 0.8.0 dated 2023-04-21

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Package AllMetrics updated to version 0.1.1 with previous version 0.1.0 dated 2023-04-05

Title: Calculating Multiple Performance Metrics of a Prediction Model
Description: Provides a function to calculate multiple performance metrics for actual and predicted values. In total eight metrics will be calculated for particular actual and predicted series. Helps to describe a Statistical model's performance in predicting a data. Also helps to compare various models' performance. The metrics are Root Mean Squared Error (RMSE), Relative Root Mean Squared Error (RRMSE), Mean absolute Error (MAE), Mean absolute percentage error (MAPE), Mean Absolute Scaled Error (MASE), Nash-Sutcliffe Efficiency (NSE), Willmott’s Index (WI), and Legates and McCabe Index (LME). Among them, first five are expected to be lesser whereas, the last three are greater the better. More details can be found from Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202>.
Author: Mr. Sandip Garai [aut, cre]
Maintainer: Mr. Sandip Garai <sandipnicksandy@gmail.com>

Diff between AllMetrics versions 0.1.0 dated 2023-04-05 and 0.1.1 dated 2023-04-21

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Package tripEstimation updated to version 0.0-46 with previous version 0.0-45 dated 2023-04-18

Title: Metropolis Sampler and Supporting Functions for Estimating Animal Movement from Archival Tags and Satellite Fixes
Description: Data handling and estimation functions for animal movement estimation from archival or satellite tags. Helper functions are included for making image summaries binned by time interval from Markov Chain Monte Carlo simulations.
Author: Michael D. Sumner [aut, cre], Simon Wotherspoon [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

Diff between tripEstimation versions 0.0-45 dated 2023-04-18 and 0.0-46 dated 2023-04-21

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Package rpm updated to version 0.7-1 with previous version 0.7 dated 2023-04-21

Title: Modeling of Revealed Preferences Matchings
Description: Statistical estimation of revealed preference models from data collected on bipartite matchings. The models are for matchings within a bipartite population where individuals have utility for people based on known and unknown characteristics. People can form a partnership or remain unpartnered. The model represents both the availability of potential partners of different types and preferences of individuals for such people. The software estimates preference parameters based on sample survey data on partnerships and population composition. The simulation of matchings and goodness-of-fit are considered. See Goyal, Handcock, Jackson, Rendall and Yeung (2022) <doi:10.1093/jrsssa/qnad031>.
Author: Mark S. Handcock [aut, cre] , Ryan M. Admiraal [ctb], Fiona C. Yeung [ctb], Heide M. Jackson [ctb], Michael S. Rendall [ctb], Shuchi Goyal [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

Diff between rpm versions 0.7 dated 2023-04-21 and 0.7-1 dated 2023-04-21

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Package lingtypology updated to version 1.1.13 with previous version 1.1.12 dated 2023-02-25

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Author: George Moroz [aut, cre] , Kirill Koncha [ctb] , Mikhail Leonov [ctb], Anna Smirnova [ctb], Ekaterina Zalivina [ctb]
Maintainer: George Moroz <agricolamz@gmail.com>

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Package HaploCatcher updated to version 1.0.4 with previous version 1.0.3 dated 2023-04-04

Title: A Predictive Haplotyping Package
Description: Used for predicting a genotype’s allelic state at a specific locus/QTL/gene. This is accomplished by using both a genotype matrix and a separate file which has categorizations about loci/QTL/genes of interest for the individuals in the genotypic matrix. A training population can be created from a panel of individuals who have been previously screened for specific loci/QTL/genes, and this previous screening could be summarized into a category. Using the categorization of individuals which have been genotyped using a genome wide marker platform, a model can be trained to predict what category (haplotype) an individual belongs in based on their genetic sequence in the region associated with the locus/QTL/gene. These trained models can then be used to predict the haplotype of a locus/QTL/gene for individuals which have been genotyped with a genome wide platform yet not genotyped for the specific locus/QTL/gene. This package is based off work done by Winn et al 2021. For more specific infor [...truncated...]
Author: Zachary Winn [aut, cre]
Maintainer: Zachary Winn <zwinn@outlook.com>

Diff between HaploCatcher versions 1.0.3 dated 2023-04-04 and 1.0.4 dated 2023-04-21

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New package evt0 with initial version 1.1-4
Package: evt0
Title: Mean of Order P, Peaks over Random Threshold Hill and High Quantile Estimates
Version: 1.1-4
Date: 2023-04-20
Depends: R (>= 1.9.0), evd, stats
Description: The R package proposes extreme value index estimators for heavy tailed models by mean of order p <DOI:10.1016/j.csda.2012.07.019>, peaks over random threshold <DOI:10.57805/revstat.v4i3.37> and a bias-reduced estimator <DOI:10.1080/00949655.2010.547196>. The package also computes moment, generalised Hill <DOI:10.2307/3318416> and mixed moment estimates for the extreme value index. High quantiles and value at risk estimators based on these estimators are implemented.
License: GPL (>= 2)
BugReports: https://github.com/lbelzile/evt0/issues/
NeedsCompilation: no
Packaged: 2023-04-21 00:38:36 UTC; lbelzile
Author: Leo Belzile [cre] , B. G. Manjunath [aut] , Frederico Caeiro [aut], Maria Ivette. Gomes [ctb] , Maria Isabel Fraga Alves [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-21 23:52:34 UTC

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Package datasets.load updated to version 2.2.0 with previous version 2.1.0 dated 2022-06-18

Title: Graphical Interface for Loading Datasets
Description: Graphical interface for loading datasets in RStudio from all installed (including unloaded) packages, also includes command line interfaces.
Author: Bastiaan quast [aut, cre]
Maintainer: Bastiaan quast <bquast@gmail.com>

Diff between datasets.load versions 2.1.0 dated 2022-06-18 and 2.2.0 dated 2023-04-21

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Package openxlsx2 updated to version 0.6.1 with previous version 0.6 dated 2023-04-02

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package idarps updated to version 0.0.3 with previous version 0.0.2 dated 2023-03-13

Title: Datasets and Functions for the Class "Modelling and Data Analysis for Pharmaceutical Sciences"
Description: Provides datasets and functions for the class "Modelling and Data Analysis for Pharmaceutical Sciences". The datasets can be used to present various methods of data analysis and statistical modeling. Functions for data visualization are also implemented.
Author: Lionel Voirol [aut, cre], Stephane Guerrier [aut], Yuming Zhang [aut], Luca Insolia [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>

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Package gosset updated to version 1.0 with previous version 0.7 dated 2023-02-26

Title: Tools for Data Analysis in Experimental Agriculture
Description: Toolkit to analyse experimental agriculture data, from data synthesis to model selection and visualisation. The package is named after W.S. Gosset aka ‘Student’, a pioneer of modern statistics in small sample experimental design and analysis.
Author: Kaue de Sousa [aut, cre] , Jacob van Etten [aut] , David Brown [aut] , Jonathan Steinke [aut]
Maintainer: Kaue de Sousa <desousa.kaue@gmail.com>

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Package chisquare updated to version 0.4 with previous version 0.3 dated 2022-04-04

Title: Chi-Square and G-Square Test of Independence, Residual Analysis, and Measures of Categorical Association
Description: Provides the facility to perform the chi-square and G-square test of independence, calculates permutation-based p value, and provides measures of association such as Phi, odds ratio with 95 percent CI and p value, adjusted contingency coefficient, Cramer's V and 95 percent CI, bias-corrected Cramer's V, Cohen's w, Goodman-Kruskal's lambda, gamma and its p value, and tau, Cohen's k and its 95 percent CI. It also calculates standardized, moment-corrected standardized, and adjusted standardized residuals, and their significance. Different outputs are returned in nicely formatted tables.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between chisquare versions 0.3 dated 2022-04-04 and 0.4 dated 2023-04-21

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Package tipsae updated to version 0.0.13 with previous version 0.0.12 dated 2023-01-10

Title: Tools for Handling Indices and Proportions in Small Area Estimation
Description: It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process.
Author: Silvia De Nicolo [aut, cre] , Aldo Gardini [aut]
Maintainer: Silvia De Nicolo <silvia.denicolo@unibo.it>

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Package XICOR updated to version 0.4.1 with previous version 0.3.3 dated 2020-05-26

Title: Association Measurement Through Cross Rank Increments
Description: Computes robust association measures that do not presuppose linearity. The xi correlation (xicor) is based on cross correlation between ranked increments. The reference for the methods implemented here is Chatterjee, Sourav (2020) <arXiv:1909.10140> This package includes the Galton peas example.
Author: Susan Holmes [aut,cre], Sourav Chatterjee [aut]
Maintainer: Susan Holmes <sp.holmes@gmail.com>

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Package wINEQ updated to version 1.2.0 with previous version 1.1.2 dated 2023-02-17

Title: Inequality Measures for Weighted Data
Description: Computes inequality measures of a given variable taking into account weights. Bootstrap method provides distribution of inequality measures and several additional statistics.
Author: Sebastian Wojcik [aut, cre] , Agnieszka Giemza [aut], Katarzyna Machowska [aut], Jaroslaw Napora [aut]
Maintainer: Sebastian Wojcik <S.Wojcik@stat.gov.pl>

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Package DEPONS2R updated to version 1.2.0 with previous version 1.1.9 dated 2023-03-18

Title: Read, Plot and Analyse Output from the DEPONS Model
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating input raster files, shipping routes and for analyzing sound propagated from ships.
Author: Jacob Nabe-Nielsen and Caitlin K. Frankish
Maintainer: Jacob Nabe-Nielsen <jnn@ecos.au.dk>

Diff between DEPONS2R versions 1.1.9 dated 2023-03-18 and 1.2.0 dated 2023-04-21

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Package fame (with last version 2.21.1) was removed from CRAN

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

2021-11-05 2.21.1
2015-07-12 2.21
2011-12-30 2.18
2011-10-15 2.17
2011-04-09 2.16
2011-04-07 2.15
2011-01-06 2.13
2010-12-13 2.12
2010-11-30 2.11
2010-11-18 2.10
2010-05-08 2.9
2009-11-19 2.7
2009-04-14 2.6
2009-01-22 2.5
2009-01-01 2.4
2008-09-14 2.3
2008-09-10 2.0
2008-05-13 1.13
2008-05-02 1.11
2008-04-29 1.10
2007-10-23 1.09
2007-07-18 1.08
2007-02-17 1.05

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Package spatstat.model updated to version 3.2-3 with previous version 3.2-1 dated 2023-02-15

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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New package sparseSEM with initial version 3.8
Package: sparseSEM
Title: Sparse-Aware Maximum Likelihood for Structural Equation Models
Version: 3.8
Date: 2023-04-17
Maintainer: Anhui Huang <anhuihuang@gmail.com>
Description: Provides Sparse-aware maximum likelihood for structural equation models in inferring network structure (topology).
License: GPL
Packaged: 2023-04-20 21:41:45 UTC; anhui
NeedsCompilation: yes
Repository: CRAN
Suggests: knitr
VignetteBuilder: knitr
Date/Publication: 2023-04-21 12:40:22 UTC
Author: Anhui Huang [aut, ctb, cre]

More information about sparseSEM at CRAN
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Package mathml updated to version 0.7 with previous version 0.6 dated 2023-04-19

Title: Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'
Description: Translate R expressions to 'MathML' or 'MathJax' so that they can be rendered in 'rmarkdown' documents and shiny apps.
Author: Matthias Gondan [aut, cre, cph] , Irene Alfarone [ctb] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between mathml versions 0.6 dated 2023-04-19 and 0.7 dated 2023-04-21

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Package csdata updated to version 2023.4.21 with previous version 2022.11.22 dated 2022-11-23

Title: Structural Data for Norway
Description: Datasets relating to population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2020.
Author: Richard Aubrey White [aut, cre] , Chi Zhang [aut]
Maintainer: Richard Aubrey White <hello@rwhite.no>

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Package rivnet updated to version 0.2.0 with previous version 0.1.0 dated 2023-03-01

Title: Extract and Analyze Rivers from Elevation Data
Description: Seamless extraction of river networks from digital elevation models data. The package allows analysis of digital elevation models that can be either externally provided or downloaded from open source repositories (thus interfacing with the 'elevatr' package). Extraction is performed via the 'D8' flow direction algorithm of TauDEM (Terrain Analysis Using Digital Elevation Models), thus interfacing with the 'traudem' package. Resulting river networks are compatible with functions from the 'OCNet' package.
Author: Luca Carraro [cre, aut], University of Zurich [cph, fnd]
Maintainer: Luca Carraro <luca.carraro@hotmail.it>

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Package MASS updated to version 7.3-59 with previous version 7.3-58.4 dated 2023-04-05

Title: Support Functions and Datasets for Venables and Ripley's MASS
Description: Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002).
Author: Brian Ripley [aut, cre, cph], Bill Venables [ctb], Douglas M. Bates [ctb], Kurt Hornik [trl] , Albrecht Gebhardt [trl] , David Firth [ctb]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

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Package contentid updated to version 0.0.17 with previous version 0.0.16 dated 2022-12-06

Title: An Interface for Content-Based Identifiers
Description: An interface for creating, registering, and resolving content-based identifiers for data management. Content-based identifiers rely on the 'cryptographic' hashes to refer to the files they identify, thus, anyone possessing the file can compute the identifier using a well-known standard algorithm, such as 'SHA256'. By registering a URL at which the content is accessible to a public archive (such as Hash Archive) or depositing data in a scientific repository such 'Zenodo', 'DataONE' or 'SoftwareHeritage', the content identifier can serve many functions typically associated with A Digital Object Identifier ('DOI'). Unlike location-based identifiers like 'DOIs', content-based identifiers permit the same content to be registered in many locations.
Author: Carl Boettiger [aut, cre] , Jorrit Poelen [aut] , NSF OAC 1839201 [fnd]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package CMplot updated to version 4.3.1 with previous version 4.2.0 dated 2022-10-12

Title: Circle Manhattan Plot
Description: Manhattan plot, a type of scatter plot, was widely used to display the association results. However, it is usually time-consuming and laborious for a non-specialist user to write scripts and adjust parameters of an elaborate plot. Moreover, the ever-growing traits measured have necessitated the integration of results from different Genome-wide association study researches. Circle Manhattan Plot is the first open R package that can lay out. Genome-wide association study P-value results in both traditional rectangular patterns, QQ-plot and novel circular ones. United in only one bull's eye style plot, association results from multiple traits can be compared interactively, thereby to reveal both similarities and differences between signals. Additional functions include: highlight signals, a group of SNPs, chromosome visualization and candidate genes around SNPs.
Author: LiLin-Yin
Maintainer: LiLin-Yin <ylilin@163.com>

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Package yardstick updated to version 1.2.0 with previous version 1.1.0 dated 2022-09-07

Title: Tidy Characterizations of Model Performance
Description: Tidy tools for quantifying how well model fits to a data set such as confusion matrices, class probability curve summaries, and regression metrics (e.g., RMSE).
Author: Max Kuhn [aut], Davis Vaughan [aut], Emil Hvitfeldt [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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New package rpm with initial version 0.7
Package: rpm
Title: Modeling of Revealed Preferences Matchings
Version: 0.7
Date: 2023-04-18
Description: Statistical estimation of revealed preference models from data collected on bipartite matchings. The models are for matchings within a bipartite population where individuals have utility for people based on known and unknown characteristics. People can form a partnership or remain unpartnered. The model represents both the availability of potential partners of different types and preferences of individuals for such people. The software estimates preference parameters based on sample survey data on partnerships and population composition. The simulation of matchings and goodness-of-fit are considered. See Goyal, Handcock, Jackson, Rendall and Yeung (2022) <doi:10.1093/jrsssa/qnad031>.
License: GPL-3 + file LICENSE
License_is_FOSS: yes
License_restricts_use: no
URL: https://handcock.github.io
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.0.0), abind, future, doRNG, methods
Suggests: testthat
Imports: Rcpp, nloptr, matrixStats, MASS, dplyr, ggplot2, coda, doFuture, foreach
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-04-20 16:41:00 UTC; handcock
Author: Mark S. Handcock [aut, cre] , Ryan M. Admiraal [ctb], Fiona C. Yeung [ctb], Heide M. Jackson [ctb], Michael S. Rendall [ctb], Shuchi Goyal [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>
Repository: CRAN
Date/Publication: 2023-04-21 08:00:02 UTC

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New package mldr.resampling with initial version 0.2
Package: mldr.resampling
Title: Resampling Algorithms for Multi-Label Datasets
Version: 0.2
Description: Collection of the state of the art multi-label resampling algorithms. The objective of these algorithms is to achieve balance in multi-label datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, e1071, mldr, pbapply, vecsets
Suggests: parallel
NeedsCompilation: no
Packaged: 2023-04-20 21:35:47 UTC; mdavila
Author: Miguel Ángel Davila [cre], Francisco Charte [aut] , Maria Jose Del Jesus [aut]
Maintainer: Miguel Ángel Davila <madr0008@red.ujaen.es>
Repository: CRAN
Date/Publication: 2023-04-21 08:12:31 UTC

More information about mldr.resampling at CRAN
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New package MissingHandle with initial version 0.1.0
Package: MissingHandle
Title: Handles Missing Dates and Data and Converts into Weekly from Daily
Version: 0.1.0
Author: Mr. Sandip Garai [aut, cre]
Maintainer: Mr. Sandip Garai <sandipnicksandy@gmail.com>
Description: Many times, you will not find data for all dates. After first January, 2011 you may have next data on 20th January, 2011 and so on. Also available dates may have zero values. Try to gather all such kinds of data in different excel sheets of a single excel file. Every sheet will contain two columns (1st one is dates and second one is the data). After loading all the sheets into different elements of a list, using this you can fill the gaps for all the sheets and mark all the corresponding values as zeros. Here I am talking about daily data. Finally, it will combine all the filled results into one data frame (first column is date and other columns will be corresponding values of your sheets) and give one csv file. Number of columns in the data frame will be number of sheets plus one. Then imputation will be done. Daily to weekly conversion is also possible. More details can be found in Garai and others (2023) <doi:10.13140/RG.2.2.11977.42087>.
License: GPL-3
Encoding: UTF-8
Imports: zoo, imputeTS, dplyr
NeedsCompilation: no
Packaged: 2023-04-21 07:55:20 UTC; user
Repository: CRAN
Date/Publication: 2023-04-21 08:12:34 UTC

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New package KaradaColor with initial version 0.1.5
Package: KaradaColor
Title: Color Palettes Inspired by Japanese Landscape and Culture
Description: The palette includes motifs from Japanese landscape and culture. And it provides commands for color manipulation and 'ggplot2' color scales.
Version: 0.1.5
License: GPL (>= 3)
Encoding: UTF-8
Language: en_US
Depends: R (>= 3.5.0)
Imports: crayon, graphics, grDevices, ggplot2
Suggests: scales, aRtsy
URL: https://github.com/KaradaGood/KaradaColor
NeedsCompilation: no
Packaged: 2023-04-20 21:27:40 UTC; chalu
Author: Masaki Fujishima [aut, cre]
Maintainer: Masaki Fujishima <info@karada-good.net>
Repository: CRAN
Date/Publication: 2023-04-21 08:02:37 UTC

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Package CytobankAPI updated to version 2.2.1 with previous version 2.2.0 dated 2023-02-10

Title: Cytobank API Wrapper for R
Description: Tools to interface with Cytobank's API via R, organized by endpoints that represent various areas of Cytobank functionality. Learn more about Cytobank at <https://www.beckman.com/flow-cytometry/software>.
Author: Stu Blair [aut, cre], Qihao Qi [aut], Stefanie Trop [aut], Louis Liu [aut], Preston Ng [aut], Chris Ciccolella [aut], Katherine Drake [aut]
Maintainer: Stu Blair <sblair@beckman.com>

Diff between CytobankAPI versions 2.2.0 dated 2023-02-10 and 2.2.1 dated 2023-04-21

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Package crew updated to version 0.1.1 with previous version 0.1.0 dated 2023-04-19

Title: A Distributed Worker Launcher
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <https://CRAN.R-project.org/package=mirai> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between crew versions 0.1.0 dated 2023-04-19 and 0.1.1 dated 2023-04-21

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 NEWS.md                                     |    4 ++++
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New package BaseTempSeed with initial version 0.1.0
Package: BaseTempSeed
Title: Estimation of Seed Germination Base Temperature in Thermal Modelling
Version: 0.1.0
Author: Dr. Himadri Ghosh [aut, cre], Mr. Saikath Das [aut], Dr. Md Yeasin [aut]
Maintainer: Dr. Himadri Ghosh <hghosh@gmail.com>
Description: All the seeds do not germinate at a single point in time due to physiological mechanisms determined by temperature which vary among individual seeds in the population. Seeds germinate by following accumulation of thermal time in degree days/hours, quantified by multiplying the time of germination with excess of base temperature required by each seed for its germination, which follows log-normal distribution. The theoretical germination course can be obtained by regressing the rate of germination at various fractions against temperature (Garcia et al., 1982), where the fraction-wise regression lines intersect the temperature axis at base temperature and the methodology of determining optimum base temperature has been described by Ellis et al. (1987). This package helps to find the base temperature of seed germination using algorithms of Garcia et al. (1982) and Ellis et al. (1982) <doi:10.1093/JXB/38.6.1033> <doi:10.1093/jxb/33.2.288>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, NlcOptim
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-04-21 05:37:02 UTC; YEASIN
Repository: CRAN
Date/Publication: 2023-04-21 08:12:37 UTC

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New package CopulaInference with initial version 0.5.0
Package: CopulaInference
Title: Estimation and Goodness-of-Fit of Copula-Based Models with Arbitrary Distributions
Version: 0.5.0
Description: Estimation and goodness-of-fit functions for copula-based models of bivariate data with arbitrary distributions (discrete, continuous, mixture of both types). The copula families considered here are the Gaussian, Student, Clayton, Frank, Gumbel, Joe, Plackett, BB1, BB6, BB7,BB8, together with the following non-central squared copula families in Nasri (2020) <doi:10.1016/j.spl.2020.108704>: ncs-gaussian, ncs-clayton, ncs-gumbel, ncs-frank, ncs-joe, and ncs-plackett. For theoretical details, see, e.g., Nasri and Remillard (2023) <arXiv:2301.13408>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), doParallel, parallel, foreach, stats, rvinecopulib, Matrix
NeedsCompilation: yes
Packaged: 2023-04-20 15:41:28 UTC; Utilisateur
Author: Bouchra R. Nasri [aut, cre, cph], Bruno N Remillard [aut]
Maintainer: Bouchra R. Nasri <bouchra.nasri@umontreal.ca>
Repository: CRAN
Date/Publication: 2023-04-21 07:32:37 UTC

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New package bgms with initial version 0.1.0
Package: bgms
Title: Bayesian Variable Selection for Networks of Binary and/or Ordinal Variables
Version: 0.1.0
Date: 2023-04-14
Maintainer: Maarten Marsman <m.marsman@uva.nl>
Description: Bayesian variable selection methods for analyzing the structure of a Markov Random Field model for a network of binary and/or ordinal variables. Details of the implemented methods can be found in: Marsman and Haslbeck (2023) <doi:10.31234/osf.io/ukwrf>.
License: GPL (>= 2)
URL: https://maartenmarsman.github.io/bgms/
BugReports: https://github.com/MaartenMarsman/bgms/issues
Imports: Rcpp (>= 1.0.7), Rdpack, methods
LinkingTo: Rcpp, RcppProgress
Depends: R (>= 2.10)
LazyData: true
Encoding: UTF-8
Suggests: knitr, qgraph, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-04-20 17:24:00 UTC; maartenmarsman
Author: Maarten Marsman [aut, cre] , Nikola Sekulovski [ctb] , Don van den Bergh [ctb]
Repository: CRAN
Date/Publication: 2023-04-21 07:32:32 UTC

More information about bgms at CRAN
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Package cgalPolygons (with last version 0.1.0) was removed from CRAN

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

2023-04-06 0.1.0

Permanent link
Package rbison (with last version 1.0.0) was removed from CRAN

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

2020-06-08 1.0.0
2019-05-03 0.8.0
2018-10-25 0.7.0
2018-04-11 0.6.0
2017-04-10 0.5.4
2016-10-05 0.5.0
2015-07-01 0.4.8
2014-12-10 0.4.5
2014-10-15 0.4.3
2014-02-18 0.3.2
2014-02-04 0.3.0
2013-12-02 0.2.4

Permanent link

Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.