Thu, 31 Oct 2024

Package GLMMcosinor updated to version 0.2.1 with previous version 0.2.0 dated 2024-01-11

Title: Fit a Cosinor Model Using a Generalized Mixed Modeling Framework
Description: Allows users to fit a cosinor model using the 'glmmTMB' framework. This extends on existing cosinor modeling packages, including 'cosinor' and 'circacompare', by including a wide range of available link functions and the capability to fit mixed models. The cosinor model is described by Cornelissen (2014) <doi:10.1186/1742-4682-11-16>.
Author: Rex Parsons [aut, cre] , Oliver Jayasinghe [aut], Nicole White [aut] , Oliver Rawashdeh [aut, fnd] , Prasad Chunduri [ctb, fnd] , Margaret Doyle [ctb], Michael Sachs [rev] , Joaquin Cavieres [rev]
Maintainer: Rex Parsons <rex.parsons94@gmail.com>

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Package ieegio updated to version 0.0.2 with previous version 0.0.1 dated 2024-09-16

Title: File IO for Intracranial Electroencephalography
Description: Integrated toolbox supporting common file formats used for intracranial Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package autometric updated to version 0.1.1 with previous version 0.1.0 dated 2024-10-30

Title: Background Resource Logging
Description: Intense parallel workloads can be difficult to monitor. Packages 'crew.cluster', 'clustermq', and 'future.batchtools' distribute hundreds of worker processes over multiple computers. If a worker process exhausts its available memory, it may terminate silently, leaving the underlying problem difficult to detect or troubleshoot. Using the 'autometric' package, a worker can proactively monitor itself in a detached background thread. The worker process itself runs normally, and the thread writes to a log every few seconds. If the worker terminates unexpectedly, 'autometric' can read and visualize the log file to reveal potential resource-related reasons for the crash. The 'autometric' package borrows heavily from the methods of packages 'ps' <doi:10.32614/CRAN.package.ps> and 'psutil'.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph, fnd], Posit Software, PBC [cph] , Jay Loden [cph] , Dave Daeschler [cph] , Giampaolo Rodola [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package scicomptools updated to version 1.1.0 with previous version 1.0.0 dated 2023-06-06

Title: Tools Developed by the NCEAS Scientific Computing Support Team
Description: Set of tools to import, summarize, wrangle, and visualize data. These functions were originally written based on the needs of the various synthesis working groups that were supported by the National Center for Ecological Analysis and Synthesis (NCEAS). These tools are meant to be useful inside and outside of the context for which they were designed.
Author: Angel Chen [aut, cre] , Nicholas J Lyon [aut] , Gabriel Antunes Daldegan [aut] , Julien Brun [aut] , Gabe De La Rosa [ctb] , Kara Koenig [aut] , Kendall Miller [aut], Timothy D Nguyen [aut] , National Science Foundation [fnd] , University of Californ [...truncated...]
Maintainer: Angel Chen <angel777chen@gmail.com>

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Package Quartet updated to version 1.2.7 with previous version 1.2.6 dated 2024-02-09

Title: Comparison of Phylogenetic Trees Using Quartet and Split Measures
Description: Calculates the number of four-taxon subtrees consistent with a pair of cladograms, calculating the symmetric quartet distance of Bandelt & Dress (1986), Reconstructing the shape of a tree from observed dissimilarity data, Advances in Applied Mathematics, 7, 309-343 <doi:10.1016/0196-8858(86)90038-2>, and using the tqDist algorithm of Sand et al. (2014), tqDist: a library for computing the quartet and triplet distances between binary or general trees, Bioinformatics, 30, 2079–2080 <doi:10.1093/bioinformatics/btu157> for pairs of binary trees.
Author: Martin R. Smith [aut, cre, cph] , Andreas Sand [ant], Gerth Stoelting Brodal [ant], Rolf Fagerberg [ant], Thomas Mailund [ant], Christian N. S. Pedersen [ant] , Jens Johansen [ant], Morten K. Holt [ant]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package IncidencePrevalence updated to version 0.8.1 with previous version 0.8.0 dated 2024-10-13

Title: Estimate Incidence and Prevalence using the OMOP Common Data Model
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Author: Edward Burn [aut, cre] , Berta Raventos [aut] , Marti Catala [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Ger Inberg [ctb] , Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package BSTZINB updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-31

Title: Association Among Disease Counts and Socio-Environmental Factors
Description: Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.
Author: Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph], Sounak Chakraborty [ctb], Chae-Young Lim [ctb], Tanujit Dey [ctb]
Maintainer: Suman Majumder <smajumd2@gmail.com>

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Package scoringutils updated to version 2.0.0 with previous version 1.2.2 dated 2023-11-29

Title: Utilities for Scoring and Assessing Predictions
Description: Facilitate the evaluation of forecasts in a convenient framework based on data.table. It allows user to to check their forecasts and diagnose issues, to visualise forecasts and missing data, to transform data before scoring, to handle missing forecasts, to aggregate scores, and to visualise the results of the evaluation. The package mostly focuses on the evaluation of probabilistic forecasts and allows evaluating several different forecast types and input formats. Find more information about the package in the Vignettes as well as in the accompanying paper, <doi:10.48550/arXiv.2205.07090>.
Author: Nikos Bosse [aut, cre] , Sam Abbott [aut] , Hugo Gruson [aut] , Johannes Bracher [ctb] , Toshiaki Asakura [ctb] , James Mba Azam [ctb] , Sebastian Funk [aut], Michael Chirico [ctb]
Maintainer: Nikos Bosse <nikosbosse@gmail.com>

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Package predictoR updated to version 4.1.1 with previous version 3.0.10 dated 2024-05-15

Title: Predictive Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
Author: Oldemar Rodriguez [aut, cre], Diego Jimenez [ctb, prg], Andres Navarro [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package ympes updated to version 1.6.0 with previous version 1.5.0 dated 2024-08-28

Title: Collection of Helper Functions
Description: Provides a collection of lightweight helper functions (imps) both for interactive use and for inclusion within other packages. These include functions for minimal input assertions, visualising colour palettes, quoting user input, searching rows of a data frame and capturing string tokens.
Author: Tim Taylor [aut, cre, cph] , R Core Team [cph] , Toby Hocking [cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between ympes versions 1.5.0 dated 2024-08-28 and 1.6.0 dated 2024-10-31

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Package xfun updated to version 0.49 with previous version 0.48 dated 2024-10-03

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

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Package optbin updated to version 1.4 with previous version 1.3 dated 2023-12-04

Title: Optimal Binning of Data
Description: Defines thresholds for breaking data into a number of discrete levels, minimizing the (mean) squared error within all bins.
Author: Greg Kreider [aut, cre]
Maintainer: Greg Kreider <support@primachvis.com>

Diff between optbin versions 1.3 dated 2023-12-04 and 1.4 dated 2024-10-31

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Package mlflow updated to version 2.17.2 with previous version 2.16.2 dated 2024-09-24

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

Diff between mlflow versions 2.16.2 dated 2024-09-24 and 2.17.2 dated 2024-10-31

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Package flexlsx updated to version 0.3.0 with previous version 0.2.1 dated 2024-05-07

Title: Exporting 'flextable' to 'xlsx' Files
Description: Exports 'flextable' objects to 'xlsx' files, utilizing functionalities provided by 'flextable' and 'openxlsx2'.
Author: Tobias Heidler [aut, cre, cph]
Maintainer: Tobias Heidler <tobias.heidler@googlemail.com>

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Package EDCimport updated to version 0.5.1 with previous version 0.5.0 dated 2024-10-24

Title: Import Data from EDC Software
Description: A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster'.
Author: Dan Chaltiel [aut, cre]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>

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Package wintime updated to version 0.3.0 with previous version 0.2.0 dated 2024-09-20

Title: Win Time Methods for Time-to-Event Data in Clinical Trials
Description: Performs an analysis of time-to-event clinical trial data using various "win time" methods, including 'ewt', 'ewtr', 'rmt', 'max', 'wtr', 'rwtr', and 'pwt'. These methods are used to calculate and compare treatment effects on ordered composite endpoints. The package handles event times, event indicators, and treatment arm indicators and supports calculations on observed and resampled data. Detailed explanations of each method and usage examples are provided in "Use of win time for ordered composite endpoints in clinical trials," by Troendle et al. (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see the package documentation or the vignette titled "Introduction to wintime."
Author: James Troendle [aut, cre], Samuel Lawrence [aut]
Maintainer: James Troendle <james.troendle@nih.gov>

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Package tsDyn updated to version 11.0.5.2 with previous version 11.0.4.1 dated 2024-02-01

Title: Nonlinear Time Series Models with Regime Switching
Description: Implements nonlinear autoregressive (AR) time series models. For univariate series, a non-parametric approach is available through additive nonlinear AR. Parametric modeling and testing for regime switching dynamics is available when the transition is either direct (TAR: threshold AR) or smooth (STAR: smooth transition AR, LSTAR). For multivariate series, one can estimate a range of TVAR or threshold cointegration TVECM models with two or three regimes. Tests can be conducted for TVAR as well as for TVECM (Hansen and Seo 2002 and Seo 2006).
Author: Antonio Fabio Di Narzo [aut] , Jose Luis Aznarte [ctb] , Matthieu Stigler [aut, cre]
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

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Package inlamemi updated to version 1.1.0 with previous version 1.0.0 dated 2024-06-24

Title: Missing Data and Measurement Error Modelling in INLA
Description: Facilitates fitting measurement error and missing data imputation models using integrated nested Laplace approximations, according to the method described in Skarstein, Martino and Muff (2023) <doi:10.1002/bimj.202300078>. See Skarstein and Muff (2024) <doi:10.48550/arXiv.2406.08172> for details on using the package.
Author: Emma Skarstein [cre, aut, cph] , Stefanie Muff [aut]
Maintainer: Emma Skarstein <emma@skarstein.no>

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Package iForecast updated to version 1.0.9 with previous version 1.0.8 dated 2024-09-14

Title: Machine Learning Time Series Forecasting
Description: Compute static, onestep and multistep time series forecasts for machine learning models.
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

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Package icr updated to version 0.6.6 with previous version 0.6.5 dated 2024-03-03

Title: Compute Krippendorff's Alpha
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb] , Chung-hong Chan [ctb]
Maintainer: Alexander Staudt <staudtlex@live.de>

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Package BayesMultiMode updated to version 0.7.3 with previous version 0.7.2 dated 2024-10-25

Title: Bayesian Mode Inference
Description: A two-step Bayesian approach for mode inference following Cross, Hoogerheide, Labonne and van Dijk (2024) <doi:10.1016/j.econlet.2024.111579>). First, a mixture distribution is fitted on the data using a sparse finite mixture (SFM) Markov chain Monte Carlo (MCMC) algorithm. The number of mixture components does not have to be known; the size of the mixture is estimated endogenously through the SFM approach. Second, the modes of the estimated mixture at each MCMC draw are retrieved using algorithms specifically tailored for mode detection. These estimates are then used to construct posterior probabilities for the number of modes, their locations and uncertainties, providing a powerful tool for mode inference.
Author: Nalan Bastuerk [aut], Jamie Cross [aut], Peter de Knijff [aut], Lennart Hoogerheide [aut], Paul Labonne [aut, cre], Herman van Dijk [aut]
Maintainer: Paul Labonne <labonnepaul@gmail.com>

Diff between BayesMultiMode versions 0.7.2 dated 2024-10-25 and 0.7.3 dated 2024-10-31

 DESCRIPTION                      |    6 +++---
 MD5                              |    6 +++---
 build/partial.rdb                |binary
 tests/testthat/test-bayes_mode.R |    1 +
 4 files changed, 7 insertions(+), 6 deletions(-)

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Package EpiNow2 updated to version 1.6.1 with previous version 1.6.0 dated 2024-10-02

Title: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
Description: Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is actively supported.
Author: Sam Abbott [aut] , Joel Hellewell [aut] , Katharine Sherratt [aut], Katelyn Gostic [aut], Joe Hickson [aut], Hamada S. Badr [aut] , Michael DeWitt [aut] , James M. Azam [aut] , Robin Thompson [ctb], Sophie Meakin [ctb], James Munday [ctb], Nikos Boss [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

Diff between EpiNow2 versions 1.6.0 dated 2024-10-02 and 1.6.1 dated 2024-10-31

 DESCRIPTION                                           |    6 
 MD5                                                   |   85 
 NEWS.md                                               |   13 
 R/checks.R                                            |   92 
 R/estimate_infections.R                               |   10 
 R/estimate_secondary.R                                |   15 
 R/opts.R                                              |   23 
 README.md                                             |   44 
 inst/doc/EpiNow2.Rmd                                  |   27 
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 tests/testthat/test-stan-guassian-process.R           |   40 
 vignettes/EpiNow2.Rmd                                 |   27 
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New package CADF with initial version 0.1
Encoding: UTF-8
Package: CADF
Title: Customer Analytics Data Formatting
Version: 0.1
Description: Converts customer transaction data (ID, purchase date) into a R6 class called customer. The class stores various customer analytics calculations at the customer level. The package also contains functionality to convert data in the R6 class to data.frames that can serve as inputs for various customer analytics models.
License: GPL-3
LazyData: true
LazyDataCompression: xz
Imports: R6
Suggests: knitr, rmarkdown, lubridate, markovchain, utils, survival
VignetteBuilder: knitr
Maintainer: Ludwig Steven <steven.ludwig@u.northwestern.edu>
NeedsCompilation: no
Packaged: 2024-10-28 23:36:43 UTC; steve
Author: Ludwig Steven [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-10-31 14:10:02 UTC

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New package vchartr with initial version 0.1.3
Package: vchartr
Title: Interactive Charts with the 'JavaScript' 'VChart' Library
Version: 0.1.3
Description: Provides an 'htmlwidgets' interface to 'VChart.js'. 'VChart', more than just a cross-platform charting library, but also an expressive data storyteller. 'VChart' examples and documentation are available here: <https://www.visactor.io/vchart>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, htmlwidgets, magrittr, rlang, scales
Suggests: bslib, knitr, geojsonio, palmerpenguins, rmarkdown, sf, shiny
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
URL: https://dreamrs.github.io/vchartr/
NeedsCompilation: no
Packaged: 2024-10-28 08:43:45 UTC; perri
Author: Victor Perrier [aut, cre], Fanny Meyer [aut]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>
Repository: CRAN
Date/Publication: 2024-10-31 13:20:04 UTC

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New package SudokuDesigns with initial version 1.0.0
Package: SudokuDesigns
Title: Sudoku as an Experimental Design
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: Sudoku designs (Bailey et al., 2008<doi:10.1080/00029890.2008.11920542>) can be used as experimental designs which tackle one extra source of variation than conventional Latin square designs. Although Sudoku designs are similar to Latin square designs, only addition is the region concept. Some very important functions related to row-column designs as well as block designs along with basic functions are included in this package.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-28 14:24:43 UTC; Ashutosh
Author: Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Repository: CRAN
Date/Publication: 2024-10-31 13:40:25 UTC

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New package mapindiatools with initial version 1.0.1
Package: mapindiatools
Title: Mapping Data for 'mapindia' Package
Version: 1.0.1
Maintainer: Shubham Dutta <shubhamdutta26@gmail.com>
Description: Provides a container for data used by the 'mapindia' package. The data used by 'mapindia' has been extracted into this package so that the file size of the 'mapindia' package can be reduced considerably. The data in this package will be updated when latest data is available.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, readr, rlang, sf, stringr, tidyr
Suggests: spelling, testthat (>= 3.0.0)
Depends: R (>= 2.10)
URL: https://github.com/shubhamdutta26/mapindiatools
BugReports: https://github.com/shubhamdutta26/mapindiatools/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-28 16:24:03 UTC; shubham
Author: Shubham Dutta [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-10-31 13:40:05 UTC

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New package Largevars with initial version 1.0.2
Package: Largevars
Title: Testing Large VARs for the Presence of Cointegration
Version: 1.0.2
Maintainer: Eszter Kiss <ekiss2803@gmail.com>
Description: Conducts a cointegration test for high-dimensional vector autoregressions (VARs) of order k based on the large N,T asymptotics of Bykhovskaya and Gorin, 2022 (<doi:10.48550/arXiv.2202.07150>). The implemented test is a modification of the Johansen likelihood ratio test. In the absence of cointegration the test converges to the partial sum of the Airy-1 point process. This package contains simulated quantiles of the first ten partial sums of the Airy-1 point process that are precise up to the first three digits.
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: methods, graphics, stats, utils
Suggests: testthat (>= 3.0.0), tibble (>= 3.0.0), data.table (>= 1.14.0), readr (>= 2.1.0)
License: MIT + file LICENSE
URL: https://github.com/eszter-kiss/Largevars
NeedsCompilation: no
Packaged: 2024-10-28 16:09:33 UTC; eszterkiss
Author: Anna Bykhovskaya [aut], Vadim Gorin [aut], Eszter Kiss [cre, aut]
Repository: CRAN
Date/Publication: 2024-10-31 13:40:41 UTC

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New package ip2locationio with initial version 1.0.0
Package: ip2locationio
Title: Lookup Geolocation and Proxy Information using 'IP2Location.io' API
Version: 1.0.0
Maintainer: IP2Location.io <support@ip2location.io>
Description: Query for enriched data such as country, region, city, latitude & longitude, ZIP code, time zone, Autonomous System, Internet Service Provider, domain, net speed, International direct dialing (IDD) code, area code, weather station data, mobile data, elevation, usage type, address type, advertisement category, and proxy data with an IP address. This package uses the 'IP2Location.io' API to query this data. To get started with a free API key, sign up here <https://www.ip2location.io/sign-up?ref=1>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate (>= 1.13), jsonlite (>= 1.6)
SystemRequirements: IP2Location.io Python library <https://github.com/ip2location/ip2location-io-python>
NeedsCompilation: no
Packaged: 2024-10-28 23:33:58 UTC; ooi18
Author: IP2Location.io [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-31 14:00:02 UTC

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New package dsTidyverseClient with initial version 1.0.0
Package: dsTidyverseClient
Title: 'DataSHIELD' 'Tidyverse' Clientside Package
Version: 1.0.0
Maintainer: Tim Cadman <t.j.cadman@umcg.nl>
Description: Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, 'DataSHIELD' contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the clientside package which should be installed locally, and is used in conjuncture with the serverside package 'dsTidyverse' which is installed on the remote server holding the data. For more information, see <https://www.tidyverse.org/>, <https://datashield.org/> and <https://github.com/molgenis/ds-tidyverse>.
License: LGPL (>= 2.1)
Encoding: UTF-8
Imports: DSI (>= 1.7.0), cli, rlang, assertthat
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, DSLite, dsBase, dsBaseClient, dsTidyverse, dplyr
Additional_repositories: https://cran.obiba.org/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-28 08:28:00 UTC; tcadman
Author: Tim Cadman [aut, cre] , Mariska Slofstra [aut] , Stuart Wheater [aut], Demetris Avraam [aut]
Repository: CRAN
Date/Publication: 2024-10-31 13:20:28 UTC

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New package dawaR with initial version 0.2.3
Package: dawaR
Title: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Date: 2024-10-28
Version: 0.2.3
Description: Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://dawar.aleksanderbl.dk/, https://github.com/aleksanderbl29/dawaR
BugReports: https://github.com/aleksanderbl29/dawaR/issues
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0), cowplot (>= 1.1.0), rmapshaper (>= 0.5.0), microbenchmark (>= 1.5.0), dplyr
Depends: R (>= 3.5.0)
Imports: memoise (>= 2.0.0), cli, httr2, sf, tidyRSS, rlang
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-28 12:44:28 UTC; aleksanderbang-larsen
Author: Aleksander Bang-Larsen [aut, cre, cph]
Maintainer: Aleksander Bang-Larsen <contact@aleksanderbl.dk>
Repository: CRAN
Date/Publication: 2024-10-31 13:30:04 UTC

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New package BSTZINB with initial version 1.0.0
Package: BSTZINB
Title: Association Among Disease Counts and Socio-Environmental Factors
Version: 1.0.0
Description: Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: BayesLogit, boot, coda, dplyr, ggplot2, gt, gtsummary, maps, matrixcalc, MCMCpack, msm, reshape, spam, viridis
Suggests: knitr, rmarkdown, CorrMixed, ape, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/SumanM47/BSTZINB
BugReports: https://github.com/SumanM47/BSTZINB/issues
NeedsCompilation: no
Packaged: 2024-10-28 18:28:25 UTC; sm8qr
Author: Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph]
Maintainer: Suman Majumder <smajumd2@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-31 14:00:05 UTC

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Package dunlin updated to version 0.1.8 with previous version 0.1.7 dated 2023-12-13

Title: Preprocessing Tools for Clinical Trial Data
Description: A collection of functions to preprocess data and organize them in a format amenable to use by chevron.
Author: Liming Li [aut, cre], Benoit Falquet [aut], Xiaoli Duan [ctb], Pawel Rucki [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Liming Li <liming.li@roche.com>

Diff between dunlin versions 0.1.7 dated 2023-12-13 and 0.1.8 dated 2024-10-31

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Package DisaggregateTS updated to version 3.0.1 with previous version 3.0.0 dated 2024-10-29

Title: High-Dimensional Temporal Disaggregation
Description: Provides tools for temporal disaggregation, including: (1) High-dimensional and low-dimensional series generation for simulation studies; (2) A toolkit for temporal disaggregation and benchmarking using low-dimensional indicator series as proposed by Dagum and Cholette (2006, ISBN:978-0-387-35439-2); (3) Novel techniques by Mosley, Gibberd, and Eckley (2022, <doi:10.1111/rssa.12952>) for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Author: Kaveh Salehzadeh Nobari [aut, cre], Luke Mosley [aut]
Maintainer: Kaveh Salehzadeh Nobari <k.salehzadeh-nobari@imperial.ac.uk>

Diff between DisaggregateTS versions 3.0.0 dated 2024-10-29 and 3.0.1 dated 2024-10-31

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Package meta updated to version 8.0-1 with previous version 7.0-0 dated 2024-01-12

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - common effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - three-level meta-analysis model; - generalised linear mixed model; - Hartung-Knapp method for random effects model; - Kenward-Roger method for random effects model; - prediction interval; - statistical tests for funnel plot asymmetry; - trim-and-fill method to evaluate bias in meta-analysis; - meta-regression; - cumulative meta-analysis and leave-one-out meta-analysis; - import data from 'RevMan 5'; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

Diff between meta versions 7.0-0 dated 2024-01-12 and 8.0-1 dated 2024-10-31

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Package vdiffr updated to version 1.0.8 with previous version 1.0.7 dated 2023-09-22

Title: Visual Regression Testing and Graphical Diffing
Description: An extension to the 'testthat' package that makes it easy to add graphical unit tests. It provides a Shiny application to manage the test cases.
Author: Lionel Henry [cre, aut], Thomas Lin Pedersen [aut] , Posit Software, PBC [cph, fnd], T Jake Luciani [aut] , Matthieu Decorde [aut] , Vaudor Lise [aut] , Tony Plate [ctb] , David Gohel [ctb] , Yixuan Qiu [ctb] , Hakon Malmedal [ctb]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between vdiffr versions 1.0.7 dated 2023-09-22 and 1.0.8 dated 2024-10-31

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Package TropFishR updated to version 1.6.5 with previous version 1.6.4 dated 2024-03-01

Title: Tropical Fisheries Analysis
Description: A compilation of fish stock assessment methods for the analysis of length-frequency data in the context of data-poor fisheries. Includes methods and examples included in the FAO Manual by P. Sparre and S.C. Venema (1998), "Introduction to tropical fish stock assessment" (<https://openknowledge.fao.org/server/api/core/bitstreams/bc7c37b6-30df-49c0-b5b4-8367a872c97e/content>), as well as other more recent methods.
Author: Tobias K. Mildenberger [aut, cre] , Marc H. Taylor [aut], Matthias Wolff [aut]
Maintainer: Tobias K. Mildenberger <t.k.mildenberger@gmail.com>

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Package SpatialDDLS updated to version 1.0.3 with previous version 1.0.2 dated 2024-04-26

Title: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks
Description: Deconvolution of spatial transcriptomics data based on neural networks and single-cell RNA-seq data. SpatialDDLS implements a workflow to create neural network models able to make accurate estimates of cell composition of spots from spatial transcriptomics data using deep learning and the meaningful information provided by single-cell RNA-seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> and Mañanes et al. (2024) <doi:10.1093/bioinformatics/btae072> to get an overview of the method and see some examples of its performance.
Author: Diego Mananes [aut, cre] , Carlos Torroja [aut] , Fatima Sanchez-Cabo [aut]
Maintainer: Diego Mananes <dmananesc@cnic.es>

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Package NMdata updated to version 0.1.8 with previous version 0.1.7 dated 2024-08-26

Title: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Attention is paid to ensure consistency, traceability, and Nonmem compatibility of Data. Rigorously checks final Nonmem datasets. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Author: Philip Delff [aut, cre], Eric Anderson [ctb], Matthew Fidler [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Package miniPCH updated to version 0.4.0 with previous version 0.3.2 dated 2024-03-06

Title: Survival Distributions with Piece-Wise Constant Hazards
Description: Density, distribution function, ... hazard function, cumulative hazard function, survival function for survival distributions with piece-wise constant hazards and multiple states and methods to plot and summarise those distributions. A derivation of the used algorithms can be found in my masters thesis <doi:10.25365/thesis.76098>.
Author: Tobias Fellinger [aut, cre] , Florian Klinglmueller [aut]
Maintainer: Tobias Fellinger <tobias.fellinger@ages.at>

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Package greenfeedr updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-21

Title: Process and Report 'GreenFeed' Data
Description: Provides tools for downloading, processing, and reporting daily and finalized 'GreenFeed' data.
Author: Guillermo Martinez-Boggio [cre, aut, cph] , Meredith Harrison [ctb], Patrick Lutz [ctb]
Maintainer: Guillermo Martinez-Boggio <guillermo.martinezboggio@wisc.edu>

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Package lingtypology updated to version 1.1.20 with previous version 1.1.19 dated 2024-09-20

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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More information about lingtypology at CRAN
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Package LDATree updated to version 0.2.0 with previous version 0.1.2 dated 2023-08-25

Title: Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits
Description: A classification tree method that uses Uncorrelated Linear Discriminant Analysis (ULDA) for variable selection, split determination, and model fitting in terminal nodes. It automatically handles missing values and offers visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2410.23147>.
Author: Siyu Wang [aut, cre, cph]
Maintainer: Siyu Wang <iamwangsiyu@gmail.com>

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Package dataRetrieval updated to version 2.7.17 with previous version 2.7.16 dated 2024-07-30

Title: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services. Data are discovered from National Water Information System <https://waterservices.usgs.gov/> and <https://waterdata.usgs.gov/nwis>. Water quality data are obtained from the Water Quality Portal <https://www.waterqualitydata.us/>.
Author: Laura DeCicco [aut, cre] , Robert Hirsch [aut] , David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Platt [ctb], David Watkins [aut] , David Blodgett [aut] , Mike Johnson [aut] , Aliesha Krall [ctb] , Lee Stanish [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package imuf (with last version 0.2.1) was removed from CRAN

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

2024-10-17 0.2.1

Permanent link
Package ggsector updated to version 1.7.0 with previous version 1.6.5 dated 2022-12-05

Title: Draw Sectors
Description: Some useful functions that can use 'grid' and 'ggplot2' to plot sectors and interact with 'Seurat' to plot gene expression percentages. Also, there are some examples of how to draw sectors in 'ComplexHeatmap'.
Author: Pengdong Yan [aut, cre, cph]
Maintainer: Pengdong Yan <yanpd01@gmail.com>

Diff between ggsector versions 1.6.5 dated 2022-12-05 and 1.7.0 dated 2024-10-31

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Package file2meco updated to version 0.9.0 with previous version 0.8.0 dated 2024-06-30

Title: Transform Files to 'microtable' Object with 'microeco' Package
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>

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