Tue, 19 Jul 2022

Package piggyback updated to version 0.1.4 with previous version 0.1.3 dated 2022-05-19

Title: Managing Larger Data on a GitHub Repository
Description: Because larger (> 50 MB) data files cannot easily be committed to git, a different approach is required to manage data associated with an analysis in a GitHub repository. This package provides a simple work-around by allowing larger (up to 2 GB) data files to piggyback on a repository as assets attached to individual GitHub releases. These files are not handled by git in any way, but instead are uploaded, downloaded, or edited directly by calls through the GitHub API. These data files can be versioned manually by creating different releases. This approach works equally well with public or private repositories. Data can be uploaded and downloaded programmatically from scripts. No authentication is required to download data from public repositories.
Author: Carl Boettiger [aut, cre, cph] , Tan Ho [aut] , Mark Padgham [ctb] , Jeffrey O Hanson [ctb] , Kevin Kuo [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between piggyback versions 0.1.3 dated 2022-05-19 and 0.1.4 dated 2022-07-19

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More information about piggyback at CRAN
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Package JBrowseR updated to version 0.9.1 with previous version 0.9.0 dated 2021-10-17

Title: An R Interface to the JBrowse 2 Genome Browser
Description: Provides an R interface to the JBrowse 2 genome browser. Enables embedding a JB2 genome browser in a Shiny app or R Markdown document. The browser can also be launched from an interactive R console. The browser can be loaded with a variety of common genomics data types, and can be used with a custom theme.
Author: Elliot Hershberg [aut, cre] , the JBrowse 2 Team [aut]
Maintainer: Elliot Hershberg <eahershberg@gmail.com>

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More information about JBrowseR at CRAN
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Package orthoDr updated to version 0.6.5 with previous version 0.6.4 dated 2019-09-05

Title: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization
Description: Utilize an orthogonality constrained optimization algorithm of Wen & Yin (2013) <DOI:10.1007/s10107-012-0584-1> to solve a variety of dimension reduction problems in the semiparametric framework, such as Ma & Zhu (2012) <DOI:10.1080/01621459.2011.646925>, Ma & Zhu (2013) <DOI:10.1214/12-AOS1072>, Sun, Zhu, Wang & Zeng (2019) <arXiv:1704.05046> and Zhou, Zhu & Zeng (2021) <arXiv:1802.06156>. It also serves as a general purpose optimization solver for problems with orthogonality constraints. Parallel computing for approximating the gradient is enabled through 'OpenMP'.
Author: Ruilin Zhao [aut, cph], Ruoqing Zhu [aut, cre, cph] , Jiyang Zhang [aut, cph], Wenzhuo Zhou [aut, cph], Peng Xu [aut, cph], James Joseph Balamuta [ctb]
Maintainer: Ruoqing Zhu <teazrq@gmail.com>

Diff between orthoDr versions 0.6.4 dated 2019-09-05 and 0.6.5 dated 2022-07-19

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More information about orthoDr at CRAN
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Package igraph updated to version 1.3.4 with previous version 1.3.3 dated 2022-07-14

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: See AUTHORS file.
Maintainer: Tamas Nepusz <ntamas@gmail.com>

Diff between igraph versions 1.3.3 dated 2022-07-14 and 1.3.4 dated 2022-07-19

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New package DRDID with initial version 1.0.4
Package: DRDID
Title: Doubly Robust Difference-in-Differences Estimators
Version: 1.0.4
Description: Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.
URL: https://psantanna.com/DRDID/, https://github.com/pedrohcgs/DRDID
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: stats, trust, BMisc (>= 1.4.1)
Suggests: knitr, rmarkdown, spelling, testthat
Date: 2022-07-19
Language: en-US
BugReports: https://github.com/pedrohcgs/DRDID/issues
NeedsCompilation: no
Packaged: 2022-07-19 20:55:52 UTC; psantanna
Author: Pedro H. C. Sant'Anna [aut, cre], Jun Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
Repository: CRAN
Date/Publication: 2022-07-19 21:40:02 UTC

More information about DRDID at CRAN
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Package DMRnet updated to version 0.3.1 with previous version 0.2.0 dated 2018-03-24

Title: Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data
Description: Model selection algorithms for regression and classification, where the predictors can be continuous or categorical and the number of regressors may exceed the number of observations. The selected model consists of a subset of numerical regressors and partitions of levels of factors. Aleksandra Maj-Kańska, Piotr Pokarowski and Agnieszka Prochenka, 2015. Delete or merge regressors for linear model selection. Electronic Journal of Statistics 9(2): 1749-1778. <https://projecteuclid.org/euclid.ejs/1440507392>. Piotr Pokarowski and Jan Mielniczuk, 2015. Combined l1 and greedy l0 penalized least squares for linear model selection. Journal of Machine Learning Research 16(29): 961-992. <https://www.jmlr.org/papers/volume16/pokarowski15a/pokarowski15a.pdf>. Piotr Pokarowski, Wojciech Rejchel, Agnieszka Sołtys, Michał Frej and Jan Mielniczuk, 2022. Improving Lasso for model selection and prediction. Scandinavian Journal of Statistics, 49(2): 831–863. <doi:10.1111/sjos.12546>.
Author: Agnieszka Prochenka-Soltys [aut] , Piotr Pokarowski [aut], Szymon Nowakowski [aut, cre]
Maintainer: Szymon Nowakowski <s.nowakowski@mimuw.edu.pl>

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More information about DMRnet at CRAN
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Package SPARSEMODr updated to version 1.2.0 with previous version 1.1.0 dated 2021-07-01

Title: SPAtial Resolution-SEnsitive Models of Outbreak Dynamics
Description: Implementation of spatially-explicit, stochastic disease models with customizable time windows that describe how parameter values fluctuate during outbreaks (e.g., in response to public health or conservation interventions).
Author: Joseph Mihaljevic [aut, cre] , Toby Hocking [ctb] , Seth Borkovec [ctb] , Saikanth Ratnavale [ctb]
Maintainer: Joseph Mihaljevic <Joseph.Mihaljevic@nau.edu>

Diff between SPARSEMODr versions 1.1.0 dated 2021-07-01 and 1.2.0 dated 2022-07-19

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Package webdeveloper updated to version 1.0.2 with previous version 1.0.1 dated 2022-07-06

Title: Functions for Web Development
Description: Organizational framework for web development in R including functions to serve static and dynamic content via HTTP methods, includes the html5 package to create HTML pages, and offers other utility functions for common tasks related to web development.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

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Package RaceID updated to version 0.2.4 with previous version 0.2.3 dated 2021-04-08

Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Author: Dominic Gruen <dominic.gruen@gmail.com>
Maintainer: Dominic Gruen <dominic.gruen@gmail.com>

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Package bsTools updated to version 1.0.2 with previous version 1.0.0 dated 2022-06-22

Title: Create HTML Content with Bootstrap 5 Classes and Layouts
Description: Functions are pre-configured to utilize Bootstrap 5 classes and HTML structures to create Bootstrap-styled HTML quickly and easily. Includes functions for creating common Bootstrap elements such as containers, rows, cols, navbars, etc. Intended to be used with the html5 package. Learn more at <https://getbootstrap.com/>.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

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Package TidyDensity updated to version 1.2.1 with previous version 1.2.0 dated 2022-06-08

Title: Functions for Tidy Analysis and Generation of Random Data
Description: To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package SpatialVx updated to version 1.0 with previous version 0.9 dated 2022-01-27

Title: Spatial Forecast Verification
Description: Spatial forecast verification refers to verifying weather forecasts when the verification set (forecast and observations) is on a spatial field, usually a high-resolution gridded spatial field. Most of the functions here require the forecast and observed fields to be gridded and on the same grid. For a thorough review of most of the methods in this package, please see Gilleland et al. (2009) <doi: 10.1175/2009WAF2222269.1> and for a tutorial on some of the main functions available here, see Gilleland (2022) <doi: 10.5065/4px3-5a05>.
Author: Eric Gilleland [aut, cre], Kim Elmore [ctb], Caren Marzban [ctb], Matt Pocernich [ctb], Gregor Skok [ctb]
Maintainer: Eric Gilleland <EricG@ucar.edu>

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Package musclesyneRgies updated to version 1.2.5 with previous version 1.1.3 dated 2022-02-10

Title: Extract Muscle Synergies from Electromyography
Description: Provides a framework to factorise electromyography (EMG) data. Tools are provided for raw data pre-processing, non negative matrix factorisation, classification of factorised data and plotting of obtained outcomes. In particular, reading from ASCII files is supported, along with wide-used filtering approaches to process EMG data. All steps include one or more sensible defaults that aim at simplifying the workflow. Yet, all functions are largely tunable at need. Example data sets are included.
Author: Alessandro Santuz [aut, cre]
Maintainer: Alessandro Santuz <alessandro.santuz@gmail.com>

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Package listdown updated to version 0.5.2 with previous version 0.4.1 dated 2020-12-07

Title: Create R Markdown from Lists
Description: Programmatically create R Markdown documents from lists.
Author: Michael J. Kane [aut, cph, cre]
Maintainer: Michael J. Kane <michael.kane@yale.edu>

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Package biogrowth updated to version 1.0.0-2 with previous version 1.0.0 dated 2022-05-31

Title: Modelling of Population Growth
Description: Modelling of population growth under static and dynamic environmental conditions. Includes functions for model fitting and making prediction under isothermal and dynamic conditions. The methods (algorithms & models) are based on predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).
Author: Alberto Garre [aut, cre] , Jeroen Koomen [aut], Heidy den Besten [aut], Marcel Zwietering [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>

Diff between biogrowth versions 1.0.0 dated 2022-05-31 and 1.0.0-2 dated 2022-07-19

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Permanent link

Package healthyR.ts updated to version 0.2.1 with previous version 0.2.0 dated 2022-06-09

Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

Diff between healthyR.ts versions 0.2.0 dated 2022-06-09 and 0.2.1 dated 2022-07-19

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Permanent link

Package ggdist updated to version 3.2.0 with previous version 3.1.1 dated 2022-02-27

Title: Visualizations of Distributions and Uncertainty
Description: Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) <https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html>, density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>, quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>, complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>, and fit curves with multiple uncertainty ribbons.
Author: Matthew Kay [aut, cre], Brenton M. Wiernik [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>

Diff between ggdist versions 3.1.1 dated 2022-02-27 and 3.2.0 dated 2022-07-19

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More information about ggdist at CRAN
Permanent link

Package refineR updated to version 1.5.1 with previous version 1.5.0 dated 2022-06-03

Title: Reference Interval Estimation using Real-World Data
Description: Indirect method for the estimation of reference intervals using Real-World Data ('RWD'). It takes routine measurements of diagnostic tests, containing pathological and non-pathological samples as input and uses sophisticated statistical methods to derive a model describing the distribution of the non-pathological samples. This distribution can then be used to derive reference intervals. Furthermore, the package offers functions for printing and plotting the results of the algorithm. See ?refineR for a more comprehensive description of the features. Version 1.0 of the algorithm is described in detail in Ammer T., Schuetzenmeister A., Prokosch H.-U., Rauh M., Rank C.M., Zierk J. "refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data". Scientific Reports (2021) <doi:10.1038/s41598-021-95301-2>.
Author: Tatjana Ammer [aut, cre], Christopher M Rank [aut], Andre Schuetzenmeister [aut]
Maintainer: Tatjana Ammer <tatjana.ammer@roche.com>

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Permanent link

Package coro updated to version 1.0.3 with previous version 1.0.2 dated 2021-12-03

Title: 'Coroutines' for R
Description: Provides 'coroutines' for R, a family of functions that can be suspended and resumed later on. This includes 'async' functions (which await) and generators (which yield). 'Async' functions are based on the concurrency framework of the 'promises' package. Generators are based on a dependency free iteration protocol defined in 'coro' and are compatible with iterators from the 'reticulate' package.
Author: Lionel Henry [aut, cre], RStudio [cph, fnd]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between coro versions 1.0.2 dated 2021-12-03 and 1.0.3 dated 2022-07-19

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More information about coro at CRAN
Permanent link

Package ltable updated to version 2.0.2 with previous version 2.0.1 dated 2021-11-22

Title: Easy to Make (Lazy) Tables
Description: Constructs tables of counts and proportions out of data sets with possibility to insert tables to Excel, Word, HTML, and PDF documents. Transforms tables to data suitable for modelling. Features Gibbs sampling based log-linear (NB2) and power analyses (original by Oleksandr Ocheredko <doi:10.35566/isdsa2019c5>) for tabulated data.
Author: Ocheredko Oleksandr
Maintainer: Ocheredko Oleksandr <Ocheredko@yahoo.com>

Diff between ltable versions 2.0.1 dated 2021-11-22 and 2.0.2 dated 2022-07-19

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New package imputeREE with initial version 0.0.1
Package: imputeREE
Title: Impute Missing Rare Earth Element Data Using a Lattice-Strain Derived Method
Version: 0.0.1
Description: Set of functions that fit a linear regression to calculate missing Rare Earth Element (REE) in zircon based on a method derived from the lattice strain theory of Blundy and Wood (1994)<doi:10.1038/372452a0>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
Imports: tibble, dplyr, magrittr, tidyr, stringr, purrr, rlang, broom
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2022-07-18 04:56:34 UTC; ccarr
Author: Carlos Carrasco Godoy [aut, cre]
Maintainer: Carlos Carrasco Godoy <carlos.Carrasco@anu.edu.au>
Repository: CRAN
Date/Publication: 2022-07-19 14:50:01 UTC

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Package delaunay updated to version 1.1.0 with previous version 1.0.0 dated 2022-07-06

Title: 2d, 2.5d, and 3d Delaunay Tessellations
Description: Construction and visualization of 2d Delaunay triangulations, possibly constrained, 2.5d (i.e. elevated) Delaunay triangulations, and 3d Delaunay triangulations.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between delaunay versions 1.0.0 dated 2022-07-06 and 1.1.0 dated 2022-07-19

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New package climetrics with initial version 1.0-5
Package: climetrics
Title: Climate Change Metrics
Version: 1.0-5
Date: 2022-07-18
Depends: methods, sp (>= 1.2-0), R (>= 3.5.0), rts
Imports: raster, terra, zoo, yaImpute, xts
Suggests: R.rsp
VignetteBuilder: R.rsp
Description: A framework that facilitates spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time.
License: GPL (>= 3)
Encoding: UTF-8
URL: http://r-gis.net
BugReports: https://github.com/shirintaheri/climetrics/issues/
NeedsCompilation: no
Packaged: 2022-07-18 12:06:32 UTC; babak
Author: Shirin Taheri [cre, aut] , Babak Naimi [aut] , Miguel Araujo [aut]
Maintainer: Shirin Taheri <taheri.shi@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-19 15:00:05 UTC

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New package bartcs with initial version 0.1.1
Package: bartcs
Title: Bayesian Additive Regression Trees for Confounder Selection
Version: 0.1.1
Description: Fit Bayesian Regression Additive Trees (BART) models to select relevant confounders among a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2022) <doi:10.48550/arXiv.2203.11798>.
License: GPL (>= 3)
URL: https://github.com/yooyh/bartcs
BugReports: https://github.com/yooyh/bartcs/issues
Depends: R (>= 2.10)
Imports: ggcharts, ggplot2, invgamma, MCMCpack, Rcpp, rlang, rootSolve, stats
Suggests: knitr, microbenchmark, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2022-07-18 05:52:07 UTC; yhoon
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-19 14:50:05 UTC

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Package timeDate updated to version 4021.104 with previous version 3043.102 dated 2018-02-21

Title: Rmetrics - Chronological and Calendar Objects
Description: The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Martin Maechler [ctb] , Joe W. Byers [ctb], Georgi N. Boshnakov [cre, ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between timeDate versions 3043.102 dated 2018-02-21 and 4021.104 dated 2022-07-19

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Package ORKM updated to version 0.4.0.0 with previous version 0.3.0.0 dated 2022-06-10

Title: The Online Regularized K-Means Clustering Algorithm
Description: Algorithm of online regularized k-means to deal with online multi(single) view data. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Author: Guangbao Guo [aut, cre] , Miao Yu [aut], Haoyue Song [aut], Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between ORKM versions 0.3.0.0 dated 2022-06-10 and 0.4.0.0 dated 2022-07-19

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Package cleaR updated to version 0.0.4 with previous version 0.0.3 dated 2022-06-27

Title: Clean the R Console and Environment
Description: Small package to clean the R console and the R environment with the call of just one function.
Author: Jonathan M. Mang [aut, cre] , MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen, Germany [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>

Diff between cleaR versions 0.0.3 dated 2022-06-27 and 0.0.4 dated 2022-07-19

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Package prospectr updated to version 0.2.5 with previous version 0.2.4 dated 2022-04-03

Title: Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data
Description: Functions to preprocess spectroscopic data and conduct (representative) sample selection/calibration sampling.
Author: Antoine Stevens [aut, cre] , Leonardo Ramirez-Lopez [aut, cre] , Guillaume Hans [ctb]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>

Diff between prospectr versions 0.2.4 dated 2022-04-03 and 0.2.5 dated 2022-07-19

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Package lidaRtRee updated to version 4.0.3 with previous version 4.0.2 dated 2022-07-18

Title: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Description: Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data: tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping: co-registration of field plots with LiDAR data (Monnet and Mermin (2014) <doi:10.3390/f5092307>); extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022) <doi:10.1002/rse2.274>); model calibration with ground reference, and maps export.
Author: Jean-Matthieu Monnet [aut, cre] , Pascal Obstetar [ctb]
Maintainer: Jean-Matthieu Monnet <jean-matthieu.monnet@inrae.fr>

Diff between lidaRtRee versions 4.0.2 dated 2022-07-18 and 4.0.3 dated 2022-07-19

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Package POFIBGE (with last version 0.1.6) was removed from CRAN

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

2022-03-25 0.1.6
2021-11-30 0.1.5
2021-10-15 0.1.4
2021-06-24 0.1.3
2021-05-04 0.1.2
2021-04-22 0.1.1
2020-12-16 0.1.0

Permanent link
Package surveillance updated to version 1.20.1 with previous version 1.20.0 dated 2022-02-16

Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description: Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of H<f6>hle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by H<f6>hle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.
Author: Michael H<f6>hle [aut, ths] , Sebastian Meyer [aut, cre] , Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Andrea Riebler [ctb], Daniel Saban<e [...truncated...]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

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Package rpredictit updated to version 0.1.0 with previous version 0.0.2 dated 2020-03-18

Title: Interface to the 'PredictIt' API
Description: Wrapper to retrieve market data, explore available markets, and plot historical price data from the 'PredictIt' public API (<https://www.predictit.org/api/marketdata/all/>). The package comes with a demo 'shiny' application for illustrating example use cases. License to use data made available via the API is for non-commercial use and 'PredictIt' is the sole source of such data.
Author: Daniel Kovtun [cre, aut]
Maintainer: Daniel Kovtun <quantumfusetrader@gmail.com>

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Package prettifyAddins updated to version 2.5.0 with previous version 2.4.0 dated 2022-01-25

Title: 'RStudio' Addins to Prettify 'JavaScript', 'C++', 'Python', and More
Description: Provides 'RStudio' addins to prettify 'HTML', 'CSS', 'SCSS', 'JavaScript', 'JSX', 'Markdown', 'C(++)', 'LaTeX', 'Python', 'Julia', 'XML', 'Java', 'JSON', 'Ruby', and to reindent 'C(++)', 'Fortran', 'Java', 'Julia', 'Python', 'SAS', 'Scala', 'Shell', 'SQL' and "TypeScript". Two kinds of addins are provided: 'Prettify' and 'Indent'. The 'Indent' addins only reindent the code, while the 'Prettify' addins also modify the code, e.g. trailing semi-colons are added to 'JavaScript' code when they are missing.
Author: Stephane Laurent [aut, cre], James Long and contributors [cph] , Zeb Zhao [cph] , Marijn Haverbeke [cph] , George Leslie-Waksman and other contributors [cph] , Austin Cheney [cph] , John Schlinkert [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package jacobi updated to version 2.0.0 with previous version 1.0.0 dated 2022-06-22

Title: Jacobi Theta Functions and Related Functions
Description: Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Weierstrass zeta function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, and Eisenstein series. Complex values of the variable are supported.
Author: Stephane Laurent [aut, cre], Mikael Fremling [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package isogeochem updated to version 1.1.0 with previous version 1.0.9 dated 2021-11-07

Title: Tools for Stable Isotope Geochemistry
Description: This toolbox makes working with oxygen, carbon, and clumped isotope data reproducible and straightforward. Use it to quickly calculate isotope fractionation factors, and apply paleothermometry equations.
Author: David Bajnai [aut, cre] , Julian Toedter [ctb]
Maintainer: David Bajnai <david.bajnai@uni-goettingen.de>

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New package bursts with initial version 1.0-2
Package: bursts
Title: Markov Model for Bursty Behavior in Streams
Version: 1.0-2
Date: 2022-07-14
Author: Jeff Binder [aut, cre]
Maintainer: Jeff Binder <extruded@gmail.com>
Imports: graphics
Description: An implementation of Jon Kleinberg's burst detection algorithm (Kleinberg (2003) <doi:10.1023/A:1024940629314>). Uses an infinite Markov model to detect periods of increased activity in a series of discrete events with known times, and provides a simple visualization of the results.
License: MIT + file LICENSE
Copyright: (c) 2012 NYU School of Medicine; (c) 2012-22 Jeff Binder
Packaged: 2022-07-18 21:44:48 UTC; jechk
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-07-19 11:30:02 UTC

More information about bursts at CRAN
Permanent link

Package FossilSim updated to version 2.3.1 with previous version 2.3.0 dated 2022-04-19

Title: Simulation of Fossil and Taxonomy Data
Description: Simulating taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.
Author: Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cre, cph], Walker Pett [aut, cph], O'Reilly Joseph [aut, cph]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>

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Package radiant.data updated to version 1.4.4 with previous version 1.4.3 dated 2022-07-18

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.data versions 1.4.3 dated 2022-07-18 and 1.4.4 dated 2022-07-19

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Package plot3logit updated to version 3.1.3 with previous version 3.1.2 dated 2022-04-15

Title: Ternary Plots for Trinomial Regression Models
Description: An implementation of the ternary plot for interpreting regression coefficients of trinomial regression models, as proposed in Santi, Dickson and Espa (2019) <doi:10.1080/00031305.2018.1442368>. Ternary plots can be drawn using either 'ggtern' package (based on 'ggplot2') or 'Ternary' package (based on standard graphics). The package and its features are illustrated in Santi, Dickson, Espa and Giuliani (2022) <doi:10.18637/jss.v103.c01>.
Author: Flavio Santi [cre, aut] , Maria Michela Dickson [aut] , Giuseppe Espa [aut] , Diego Giuliani [aut]
Maintainer: Flavio Santi <flavio.santi@univr.it>

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Package nhdplusTools updated to version 0.5.4 with previous version 0.5.3 dated 2022-05-27

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between nhdplusTools versions 0.5.3 dated 2022-05-27 and 0.5.4 dated 2022-07-19

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Package mfaces updated to version 0.1-4 with previous version 0.1-3 dated 2021-04-30

Title: Fast Covariance Estimation for Multivariate Sparse Functional Data
Description: Multivariate functional principal component analysis via fast covariance estimation for multivariate sparse functional data or longitudinal data proposed by Li, Xiao, and Luo (2020) <doi: 10.1002/sta4.245>.
Author: Cai Li [aut,cre] and Luo Xiao [aut]
Maintainer: Cai Li <cai.li.stats@gmail.com>

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Package DEET updated to version 1.0.5 with previous version 1.0.2 dated 2022-06-27

Title: Differential Expression Enrichment Tool
Description: RNA sequencing (RNA-seq) followed by differential gene expression analyses is a fundamental approach for making biological discoveries. Ongoing large-scale efforts to systematically process and normalize publicly available gene expression data facilitate rapid reanalyses of specific studies and the development of new methods for querying it. While there are several powerful tools for querying systematically processed publicly available RNA-seq data at the individual sample level, there are fewer options for querying differentially expressed gene (DEG) lists generated from these experiments. Here, we present the Differential Expression Enrichment Tool (DEET), which allows users to interact with 3162 consistently processed DEG lists curated from 142 RNA-seq datasets obtained from recount2 database, which contains data from consortiums (GTex, TCGA) and individual labs (SRA). To establish DEET we integrated systematically processed human RNA-seq data from recount2 with reported and predicted metadata from multiple sources and developed a CRAN R package and Shiny App where users can compare their genes, p-values, and coefficients against the DEG lists within DEET. Here we present DEET and demonstrate how it can facilitate hypothesis generation and provide biological insight from user-defined differential gene expression results. Reference: Sokolowski,D.J., Ahn J., Erdman,L., Hou,H., Ellis,K., Wang L., Goldenberg,A., and Wilson,M.D. (2022) Differential Expression Enrichment Tool (DEET): An interactive atlas of human differential gene expression. (In Preparation).
Author: Dustin Sokolowski [aut, cre], Jedid Ahn [aut], Lauren Erdman [aut], Kai Ellis [aut], Huayun Hou [aut], Anna Goldenberg [aut], Michael Wilson [aut]
Maintainer: Dustin Sokolowski <dustin.sokolowski@sickkids.ca>

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Package cfda updated to version 0.10.0 with previous version 0.9.12 dated 2022-03-07

Title: Categorical Functional Data Analysis
Description: Package for the analysis of categorical functional data. The main purpose is to compute an encoding (real functional variable) for each state <doi:10.3390/math9233074>. It also provides functions to perform basic statistical analysis on categorical functional data.
Author: Cristian Preda [aut], Quentin Grimonprez [aut, cre], Vincent Vandewalle [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package bbsBayes updated to version 2.5.1 with previous version 2.5.0 dated 2022-07-11

Title: Hierarchical Bayesian Analysis of North American BBS Data
Description: The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of the breeding birds in North America. Since its start in 1966, the BBS has accumulated over 50 years of data for over 500 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform hierarchical Bayesian analysis of BBS data. You can run a full model analysis for one or more species that you choose, or you can take more control and specify how the data should be stratified, prepared for 'JAGS', or modelled. The functions provided here allow you to replicate analyses performed by the United State Geological Survey (USGS, see Link and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).
Author: Brandon P.M. Edwards [aut, cre], Adam C. Smith [aut]
Maintainer: Brandon P.M. Edwards <brandonedwards3@cmail.carleton.ca>

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Package tvthemes updated to version 1.3.1 with previous version 1.3.0 dated 2022-03-16

Title: TV Show Themes and Color Palettes for 'ggplot2' Graphics
Description: Contains various 'ggplot2' themes and color palettes based on TV shows such as 'Game of Thrones', 'Brooklyn Nine-Nine', 'Avatar: The Last Airbender', 'Spongebob Squarepants', and more.
Author: Ryo Nakagawara [aut, cre]
Maintainer: Ryo Nakagawara <ryonakagawara@gmail.com>

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 tvthemes-1.3.1/tvthemes/man/parksAndRec_pal.Rd                 |  218 +-
 tvthemes-1.3.1/tvthemes/man/rickAndMorty_pal.Rd                |  218 +-
 tvthemes-1.3.1/tvthemes/man/simpsons_pal.Rd                    |  218 +-
 tvthemes-1.3.1/tvthemes/man/spongeBob_pal.Rd                   |  218 +-
 tvthemes-1.3.1/tvthemes/man/sponge_images.Rd                   |   30 
 tvthemes-1.3.1/tvthemes/man/stevenUniverse_pal.Rd              |  264 +-
 tvthemes-1.3.1/tvthemes/man/theme_avatar.Rd                    |  164 -
 tvthemes-1.3.1/tvthemes/man/theme_brooklyn99.Rd                |  170 -
 tvthemes-1.3.1/tvthemes/man/theme_hildaDay.Rd                  |  160 -
 tvthemes-1.3.1/tvthemes/man/theme_hildaDusk.Rd                 |  160 -
 tvthemes-1.3.1/tvthemes/man/theme_hildaNight.Rd                |  160 -
 tvthemes-1.3.1/tvthemes/man/theme_parksAndRec.Rd               |  170 -
 tvthemes-1.3.1/tvthemes/man/theme_parksAndRecLight.Rd          |  170 -
 tvthemes-1.3.1/tvthemes/man/theme_parksAndRec_light.Rd         |  156 -
 tvthemes-1.3.1/tvthemes/man/theme_rickAndMorty.Rd              |  170 -
 tvthemes-1.3.1/tvthemes/man/theme_simpsons.Rd                  |  170 -
 tvthemes-1.3.1/tvthemes/man/theme_spongeBob.Rd                 |  170 -
 tvthemes-1.3.1/tvthemes/man/theme_theLastAirbender.Rd          |  146 -
 tvthemes-1.3.1/tvthemes/man/tvthemes.Rd                        |   80 
 tvthemes-1.3.1/tvthemes/man/westeros_pal.Rd                    |  276 +-
 tvthemes-1.3.1/tvthemes/tests/testthat/test-fonts.R            |   12 
 tvthemes-1.3.1/tvthemes/vignettes/fonts-and-colors.Rmd         |    6 
 80 files changed, 3594 insertions(+), 3668 deletions(-)

More information about tvthemes at CRAN
Permanent link

Package WebPower (with last version 0.7) was removed from CRAN

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

2022-05-21 0.7
2021-05-18 0.6
2018-11-29 0.5.2
2018-04-16 0.5

Permanent link
Package csodata (with last version 1.2.3) was removed from CRAN

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

2022-06-10 1.2.3
2021-12-10 1.2.2
2021-10-11 1.2.1

Permanent link

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