Thu, 18 Apr 2024

Package pkgdown updated to version 2.0.9 with previous version 2.0.8 dated 2024-04-10

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] , Jay Hesselberth [aut] , Maelle Salmon [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between pkgdown versions 2.0.8 dated 2024-04-10 and 2.0.9 dated 2024-04-18

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New package latentFactoR with initial version 0.0.6
Package: latentFactoR
Title: Data Simulation Based on Latent Factors
Version: 0.0.6
Date: 2024-04-17
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>
Description: Generates data based on latent factor models. Data can be continuous, polytomous, dichotomous, or mixed. Skews, cross-loadings, wording effects, population errors, and local dependencies can be added. All parameters can be manipulated. Data categorization is based on Garrido, Abad, and Ponsoda (2011) <doi:10.1177/0013164410389489>.
Depends: R (>= 3.6.0)
License: GPL (>= 3.0)
Imports: BBmisc, EGAnet, fspe, googledrive, ineq, lavaan, Matrix, methods, mlr, mvtnorm, psych, rstudioapi, xgboost
Suggests: ggplot2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-18 20:35:05 UTC; alextops
Author: Alexander Christensen [aut, cre] , Luis Eduardo Garrido [aut] , Maria Dolores Nieto Canaveras [aut], Hudson Golino [aut] , Marcos Jimenez [aut], Francisco Abad [ctb], Eduardo Garcia-Garzon [ctb], Vithor Franco [aut]
Repository: CRAN
Date/Publication: 2024-04-18 21:23:04 UTC

More information about latentFactoR at CRAN
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Package fastcpd updated to version 0.14.1 with previous version 0.14.0 dated 2024-04-16

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>

Diff between fastcpd versions 0.14.0 dated 2024-04-16 and 0.14.1 dated 2024-04-18

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Package climetrics updated to version 1.0-15 with previous version 1.0-12 dated 2023-10-04

Title: Climate Change Metrics
Description: A framework that facilitates spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time.
Author: Shirin Taheri [cre, aut] , Babak Naimi [aut] , Miguel Araujo [aut]
Maintainer: Shirin Taheri <taheri.shi@gmail.com>

Diff between climetrics versions 1.0-12 dated 2023-10-04 and 1.0-15 dated 2024-04-18

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Package tune updated to version 1.2.1 with previous version 1.2.0 dated 2024-03-20

Title: Tidy Tuning Tools
Description: The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
Author: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between tune versions 1.2.0 dated 2024-03-20 and 1.2.1 dated 2024-04-18

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New package WordListsAnalytics with initial version 0.2.0
Package: WordListsAnalytics
Title: Multiple Data Analysis Tools for Property Listing Tasks
Version: 0.2.0
Maintainer: Sebastian Moreno <sebastian.moreno.araya@gmail.com>
Description: Application to estimate statistical values using properties provided by a group of individuals to describe concepts using 'shiny'. It estimates the underlying distribution to generate new descriptive words Canessa et al. (2023) <doi:10.3758/s13428-022-01811-w>, applies a new clustering model, and uses simulations to estimate the probability that two persons describe the same words based on their descriptions Canessa et al. (2022) <doi:10.3758/s13428-022-02030-z>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, readr, dplyr, reshape2, grDevices, stats, graphics
Depends: shiny, R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2024-04-18 15:46:33 UTC; Cris
Author: Sebastian Moreno [aut, cre], Cristobal Heredia [aut], Enrique Canessa [ths], Sergio Chaigneau [ths]
Repository: CRAN
Date/Publication: 2024-04-18 19:42:45 UTC

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Package pald updated to version 0.0.4 with previous version 0.0.3 dated 2023-09-28

Title: Partitioned Local Depth for Community Structure in Data
Description: Implementation of the Partitioned Local Depth (PaLD) approach which provides a measure of local depth and the cohesion of a point to another which (together with a universal threshold for distinguishing strong and weak ties) may be used to reveal local and global structure in data, based on methods described in Berenhaut, Moore, and Melvin (2022) <doi:10.1073/pnas.2003634119>. No extraneous inputs, distributional assumptions, iterative procedures nor optimization criteria are employed. This package includes functions for computing local depths and cohesion as well as flexible functions for plotting community networks and displays of cohesion against distance.
Author: Katherine Moore [aut] , Kenneth Berenhaut [aut], Lucy D'Agostino McGowan [aut, cre]
Maintainer: Lucy D'Agostino McGowan <lucydagostino@gmail.com>

Diff between pald versions 0.0.3 dated 2023-09-28 and 0.0.4 dated 2024-04-18

 DESCRIPTION        |    6 +++---
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New package login with initial version 0.9.3
Package: login
Title: 'shiny' Login Module
Version: 0.9.3
Date: 2024-04-17
Maintainer: Jason Bryer <jason@bryer.org>
Description: Framework for adding authentication to 'shiny' applications. Provides flexibility as compared to other options for where user credentials are saved, allows users to create their own accounts, and password reset functionality. Bryer (2024) <doi:10.5281/zenodo.10987876>.
License: GPL (>= 3)
URL: https://github.com/jbryer/login, https://jbryer.github.io/login/
BugReports: https://github.com/jbryer/login/issues
Imports: cookies, DBI, digest, emayili, htmltools, shiny, shinybusy, shinyjs, stringr, utils
Suggests: knitr, rmarkdown
Enhances: RSQLite
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-18 16:08:38 UTC; jbryer
Author: Jason Bryer [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-18 19:32:48 UTC

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New package InterNL with initial version 0.1.0
Package: InterNL
Title: Time Series Intervention Model Using Non-Linear Function
Version: 0.1.0
Author: Dr. Amrit Kumar Paul [aut], Dr. Md Yeasin [aut, cre], Dr. Ranjit Kumar Paul [aut], Mr. Subhankar Biswas [aut], Dr. HS Roy [aut], Dr. Prakash Kumar [aut]
Maintainer: Dr. Md Yeasin <yeasin.iasri@gmail.com>
Description: Intervention analysis is used to investigate structural changes in data resulting from external events. Traditional time series intervention models, viz. Autoregressive Integrated Moving Average model with exogeneous variables (ARIMA-X) and Artificial Neural Networks with exogeneous variables (ANN-X), rely on linear intervention functions such as step or ramp functions, or their combinations. In this package, the Gompertz, Logistic, Monomolecular, Richard and Hoerl function have been used as non-linear intervention function. The equation of the above models are represented as: Gompertz: A * exp(-B * exp(-k * t)); Logistic: K / (1 + ((K - N0) / N0) * exp(-r * t)); Monomolecular: A * exp(-k * t); Richard: A + (K - A) / (1 + exp(-B * (C - t)))^(1/beta) and Hoerl: a*(b^t)*(t^c).This package introduced algorithm for time series intervention analysis employing ARIMA and ANN models with a non-linear intervention function. This package has been developed using algorithm of Yeasin et al. <do [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: stats, forecast, MLmetrics
NeedsCompilation: no
Packaged: 2024-04-18 09:01:40 UTC; YEASIN
Repository: CRAN
Date/Publication: 2024-04-18 19:13:03 UTC

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New package geonode4R with initial version 0.1
Package: geonode4R
Title: Interface to 'GeoNode' REST API
Version: 0.1
Date: 2024-04-18
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Description: Provides an interface to the 'GeoNode' API, allowing to upload and publish metadata and data in 'GeoNode'. For more information about the 'GeoNode' API, see <https://geonode.org/>.
Depends: R (>= 3.1.0)
Imports: R6, openssl, httr, keyring, readr
Suggests: testthat, roxygen2, covr, shiny, knitr, markdown
License: MIT + file LICENSE
URL: https://github.com/eblondel/geonode4R, https://eblondel.github.io/geonode4R/, https://geonode.org/
BugReports: https://github.com/eblondel/geonode4R/issues
Encoding: UTF-8
LazyLoad: yes
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-18 14:41:20 UTC; emman
Author: Emmanuel Blondel [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-18 19:22:58 UTC

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New package DyMEP with initial version 0.1.0
Package: DyMEP
Title: Dynamic Multi Environment Phenology-Model
Version: 0.1.0
Author: Flavian Tschurr
Maintainer: Flavian Tschurr <flavian.tschurr@usys.ethz.ch>
Description: Mechanistically models/predicts the phenology (macro-phases) of 10 crop plants (trained on a big dataset over 80 years derived from the German weather service (DWD) <https://opendata.dwd.de/>). Can be applied for remote sensing purposes, dynamically check the best subset of available covariates for the given dataset and crop.
License: LGPL (>= 3)
Encoding: UTF-8
Imports: stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-18 06:10:17 UTC; ftschurr
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-04-18 19:03:14 UTC

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New package CirceR with initial version 1.3.3
Package: CirceR
Title: Construct Cohort Inclusion and Restriction Criteria Expressions
Version: 1.3.3
Date: 2024-03-20
Maintainer: Chris Knoll <cknoll@ohdsi.org>
Description: Wraps the 'CIRCE' (<https://github.com/ohdsi/circe-be>) 'Java' library allowing cohort definition expressions to be edited and converted to 'Markdown' or 'SQL'.
License: Apache License 2.0
URL: https://ohdsi.github.io/CirceR/, https://github.com/OHDSI/CirceR/
BugReports: https://github.com/OHDSI/CirceR/issues/
SystemRequirements: Java (>= 8)
Depends: R (>= 3.5.0)
Imports: rJava, RJSONIO
Suggests: testthat, knitr, rmarkdown
NeedsCompilation: no
Language: en-US
Encoding: UTF-8
Packaged: 2024-04-18 16:42:02 UTC; cknoll1
Author: Chris Knoll [aut, cre], Martijn Schuemie [aut]
Repository: CRAN
Date/Publication: 2024-04-18 19:42:49 UTC

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New package ARUtools with initial version 0.6.2
Package: ARUtools
Title: Management and Processing of Autonomous Recording Unit (ARU) Data
Version: 0.6.2
Description: Parse Autonomous Recording Unit (ARU) data and for sub-sampling recordings. Extract Metadata from your recordings, select a subset of recordings for interpretation, and prepare files for processing on the 'WildTrax' <https://wildtrax.ca/> platform. Read and process metadata from recordings collected using the SongMeter and BAR-LT types of ARUs.
License: MIT + file LICENSE
URL: https://arutools.github.io/ARUtools/, https://github.com/ARUtools/ARUtools
BugReports: https://github.com/ARUtools/ARUtools/issues
Depends: R (>= 4.0)
Imports: dplyr, fs (>= 1.6.1), glue, here, hms (>= 1.1.2), lifecycle, lubridate, lutz, parzer, purrr, readr, rlang (>= 0.4), seewave (>= 2.2.3), sf, spsurvey (>= 5.0.1), stringr, suncalc, tidyr, units, withr
Suggests: covr, ggplot2, job, jsonlite, knitr, parallel, patchwork, readxl (>= 1.4.2), rmarkdown, rstudioapi, sessioninfo, soundecology, testthat (>= 3.0.0), tuneR, vdiffr (>= 1.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-04-18 16:20:00 UTC; HopeD
Author: David Hope [aut, cre] , Steffi LaZerte [aut] , Government of Canada [cph, fnd]
Maintainer: David Hope <david.hope@ec.gc.ca>
Repository: CRAN
Date/Publication: 2024-04-18 19:32:51 UTC

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New package ADLP with initial version 0.1.0
Package: ADLP
Title: Accident and Development Period Adjusted Linear Pools for Actuarial Stochastic Reserving
Version: 0.1.0
Author: Benjamin Avanzi [aut], William Ho [aut], Yanfeng Li [aut, cre], Bernard Wong [aut], Alan Xian [aut]
Maintainer: Yanfeng Li <yanfeng.li@student.unsw.edu.au>
Description: Loss reserving generally focuses on identifying a single model that can generate superior predictive performance. However, different loss reserving models specialise in capturing different aspects of loss data. This is recognised in practice in the sense that results from different models are often considered, and sometimes combined. For instance, actuaries may take a weighted average of the prediction outcomes from various loss reserving models, often based on subjective assessments. This package allows for the use of a systematic framework to objectively combine (i.e. ensemble) multiple stochastic loss reserving models such that the strengths offered by different models can be utilised effectively. Our framework is developed in Avanzi et al. (2023). Firstly, our criteria model combination considers the full distributional properties of the ensemble and not just the central estimate - which is of particular importance in the reserving context. Secondly, our framework is that it is tai [...truncated...]
License: GPL-3
Encoding: UTF-8
URL: https://github.com/agi-lab/ADLP
BugReports: https://github.com/agi-lab/ADLP/issues
LazyData: true
Imports: methods
Suggests: knitr, tidyverse, SynthETIC (>= 1.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-04-18 07:21:50 UTC; jimli
Repository: CRAN
Date/Publication: 2024-04-18 19:23:01 UTC

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New package xlcharts with initial version 0.0.1
Package: xlcharts
Title: Create Native 'Excel' Charts and Work with Microsoft 'Excel' Files
Version: 0.0.1
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: An R interface to the 'OpenPyXL' 'Python' library to create native 'Excel' charts and work with Microsoft 'Excel' files.
URL: https://felixluginbuhl.com/xlcharts/
License: MIT + file LICENSE
SystemRequirements: Conda
Imports: reticulate, writexl
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-17 19:07:15 UTC; felix
Author: Felix Luginbuhl [aut, cre, cph] , Eric Gazoni [ctb, cph] ), Charlie Clark [ctb, cph] ), openpyxl authors [ctb, cph] )
Repository: CRAN
Date/Publication: 2024-04-18 18:50:02 UTC

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Package rqPen updated to version 4.0 with previous version 3.2.2 dated 2024-03-14

Title: Penalized Quantile Regression
Description: Performs penalized quantile regression with LASSO, elastic net, SCAD and MCP penalty functions including group penalties. In addition, offers a group penalty that provides consistent variable selection across quantiles. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC. Below URL provides a link to a work in progress vignette.
Author: Ben Sherwood [aut, cre], Adam Maidman [aut], Shaobo Li [aut]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>

Diff between rqPen versions 3.2.2 dated 2024-03-14 and 4.0 dated 2024-04-18

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New package meteo with initial version 2.0-3
Package: meteo
Version: 2.0-3
Date: 2024-04-16
Encoding: UTF-8
Title: RFSI & STRK Interpolation for Meteo and Environmental Variables
Author: Milan Kilibarda [aut] , Aleksandar Sekulic [aut, cre] , Tomislav Hengl [ctb], Edzer Pebesma [ctb], Benedikt Graeler [ctb]
Maintainer: Aleksandar Sekulic <asekulic@grf.bg.ac.rs>
Depends: R (>= 4.0.0)
Description: Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) <doi:10.3390/rs12101687>) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020) <doi:10.1007/s00704-019-03077-3>) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data.
License: GPL (>= 2.0) | file LICENCE
URL: https://www.r-pkg.org/pkg/meteo, https://r-forge.r-project.org/projects/meteo/, https://github.com/AleksandarSekulic/Rmeteo
LazyLoad: yes
Imports: methods, utils, stats, DescTools, caret, data.table, dplyr, sp, spacetime, gstat, foreach, parallel, snowfall, doParallel, plyr, units, nabor, CAST, ranger, sf, sftime, raster, terra, jsonlite
BugReports: https://github.com/AleksandarSekulic/Rmeteo/issues
NeedsCompilation: no
Packaged: 2024-04-18 16:06:24 UTC; sekulic
Repository: CRAN
Date/Publication: 2024-04-18 18:12:48 UTC

More information about meteo at CRAN
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New package future.mirai with initial version 0.2.0
Package: future.mirai
Version: 0.2.0
Depends: future
Imports: mirai (>= 0.12.1), parallelly, utils
Suggests: future.tests, future.apply, listenv
Title: A 'Future' API for Parallel Processing using 'mirai'
Description: Implementation of the 'Future' API <doi:10.32614/RJ-2021-048> on top of the 'mirai' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, on your local machine or across remote machines. Contrary to back-ends relying on the 'parallel' package (e.g. 'multisession') and socket connections, 'mirai_cluster' and 'mirai_multisession', provided here, can run more than 125 parallel R processes.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://future.mirai.futureverse.org, https://github.com/HenrikBengtsson/future.mirai
BugReports: https://github.com/HenrikBengtsson/future.mirai/issues
NeedsCompilation: no
Packaged: 2024-04-16 11:06:33 UTC; henrik
Author: Henrik Bengtsson [aut, cre, cph] , Charlie Gao [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2024-04-18 18:42:34 UTC

More information about future.mirai at CRAN
Permanent link

Package aqp updated to version 2.0.3 with previous version 2.0.2 dated 2023-11-28

Title: Algorithms for Quantitative Pedology
Description: The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilD [...truncated...]
Author: Dylan Beaudette [aut, cre], Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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Package maq updated to version 0.4.0 with previous version 0.3.1 dated 2023-10-07

Title: Multi-Armed Qini
Description: Evaluate treatment rules for costly and mutually exclusive treatment arms with Qini curves as proposed in Sverdrup, Wu, Athey, and Wager (2023) <doi:10.48550/arXiv.2306.11979>.
Author: Erik Sverdrup [aut, cre], Han Wu [aut], Susan Athey [aut], Stefan Wager [aut]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

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Package irboost updated to version 0.1-1.5 with previous version 0.1-1.3 dated 2023-06-24

Title: Iteratively Reweighted Boosting for Robust Analysis
Description: Fit a predictive model using iteratively reweighted boosting (IRBoost) to minimize robust loss functions within the CC-family (concave-convex). This constitutes an application of iteratively reweighted convex optimization (IRCO), where convex optimization is performed using the functional descent boosting algorithm. IRBoost assigns weights to facilitate outlier identification. Applications include robust generalized linear models and robust accelerated failure time models. Wang (2021) <doi:10.48550/arXiv.2101.07718>.
Author: Zhu Wang [aut, cre]
Maintainer: Zhu Wang <zhuwang@gmail.com>

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Package glmMisrep updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-26

Title: Generalized Linear Models Adjusting for Misrepresentation
Description: Fit Generalized Linear Models to continuous and count outcomes, as well as estimate the prevalence of misrepresentation of an important binary predictor. Misrepresentation typically arises when there is an incentive for the binary factor to be misclassified in one direction (e.g., in insurance settings where policy holders may purposely deny a risk status in order to lower the insurance premium). This is accomplished by treating a subset of the response variable as resulting from a mixture distribution. Model parameters are estimated via the Expectation Maximization algorithm and standard errors of the estimates are obtained from closed forms of the Observed Fisher Information. For an introduction to the models and the misrepresentation framework, see Xia et. al., (2023) <https://variancejournal.org/article/73151-maximum-likelihood-approaches-to-misrepresentation-models-in-glm-ratemaking-model-comparisons>.
Author: Patrick Rafael [cre, aut], Xia Michelle [aut], Rexford Akakpo [aut]
Maintainer: Patrick Rafael <pbr2608@vt.edu>

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Package geobr updated to version 1.9.0 with previous version 1.8.2 dated 2024-01-09

Title: Download Official Spatial Data Sets of Brazil
Description: Easy access to official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geospatial data available at various geographic scales and for various years with harmonized attributes, projection and fixed topology.
Author: Rafael H. M. Pereira [aut, cre] , Caio Nogueira Goncalves [aut], Paulo Henrique Fernandes de Araujo [ctb], Guilherme Duarte Carvalho [ctb], Rodrigo Almeida de Arruda [ctb], Igor Nascimento [ctb], Barbara Santiago Pedreira da Costa [ctb], Welligtton S [...truncated...]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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

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

2019-01-02 0.2

Permanent link
Package VancouvR updated to version 0.1.8 with previous version 0.1.7 dated 2021-10-21

Title: Access the 'City of Vancouver' Open Data API
Description: Wrapper around the 'City of Vancouver' Open Data API <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize access to 'City of Vancouver' open data. Functionality to list the data catalogue and access data and geographic records.
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package rjsoncons updated to version 1.3.0 with previous version 1.2.0 dated 2024-01-26

Title: Query, Pivot, Patch, and Validate 'JSON' and 'NDJSON'
Description: Functions to query (filter or transform), pivot (convert from array-of-objects to object-of-arrays, for easy import as 'R' data frame), search, patch (edit), and validate (against 'JSON Schema') 'JSON' and 'NDJSON' strings, files, or URLs. Query and pivot support 'JSONpointer', 'JSONpath' or 'JMESpath' expressions. The implementation uses the 'jsoncons' <https://danielaparker.github.io/jsoncons/> header-only library; the library is easily linked to other packages for direct access to 'C++' functionality not implemented here.
Author: Martin Morgan [aut, cre] , Marcel Ramos [aut] , Daniel Parker [aut, cph]
Maintainer: Martin Morgan <mtmorgan.xyz@gmail.com>

Diff between rjsoncons versions 1.2.0 dated 2024-01-26 and 1.3.0 dated 2024-04-18

 rjsoncons-1.2.0/rjsoncons/R/j_query.R                                                         |only
 rjsoncons-1.2.0/rjsoncons/R/json.R                                                            |only
 rjsoncons-1.2.0/rjsoncons/R/ndjson.R                                                          |only
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 rjsoncons-1.2.0/rjsoncons/inst/tinytest/test_j_query.R                                        |only
 rjsoncons-1.2.0/rjsoncons/man/j_query.Rd                                                      |only
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 rjsoncons-1.2.0/rjsoncons/src/r_json.h                                                        |only
 rjsoncons-1.2.0/rjsoncons/src/raw_buffer.h                                                    |only
 rjsoncons-1.2.0/rjsoncons/src/utilities.h                                                     |only
 rjsoncons-1.3.0/rjsoncons/DESCRIPTION                                                         |   35 
 rjsoncons-1.3.0/rjsoncons/MD5                                                                 |  370 ++---
 rjsoncons-1.3.0/rjsoncons/NAMESPACE                                                           |   17 
 rjsoncons-1.3.0/rjsoncons/NEWS.md                                                             |   60 
 rjsoncons-1.3.0/rjsoncons/R/as_r.R                                                            |   41 
 rjsoncons-1.3.0/rjsoncons/R/cpp11.R                                                           |   52 
 rjsoncons-1.3.0/rjsoncons/R/do_cpp.R                                                          |only
 rjsoncons-1.3.0/rjsoncons/R/flatten.R                                                         |only
 rjsoncons-1.3.0/rjsoncons/R/j_data_type.R                                                     |    6 
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 rjsoncons-1.3.0/rjsoncons/R/paths_and_pointer.R                                               |   12 
 rjsoncons-1.3.0/rjsoncons/R/progressbar.R                                                     |only
 rjsoncons-1.3.0/rjsoncons/R/rquerypivot.R                                                     |only
 rjsoncons-1.3.0/rjsoncons/R/schema.R                                                          |only
 rjsoncons-1.3.0/rjsoncons/R/utilities.R                                                       |   24 
 rjsoncons-1.3.0/rjsoncons/R/version.R                                                         |    7 
 rjsoncons-1.3.0/rjsoncons/README.md                                                           |   30 
 rjsoncons-1.3.0/rjsoncons/build/vignette.rds                                                  |binary
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 rjsoncons-1.3.0/rjsoncons/inst/doc/a_rjsoncons.Rmd                                            |  349 ++++
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/allocator_set.hpp                             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/basic_json.hpp                                |  146 +-
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/byte_string.hpp                               |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/config/compiler_support.hpp                   |   26 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/config/jsoncons_config.hpp                    |   13 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/config/version.hpp                            |    4 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/conv_error.hpp                                |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/decode_json.hpp                               |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/decode_traits.hpp                             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/detail/endian.hpp                             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/detail/heap_string.hpp                        |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/detail/optional.hpp                           |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/detail/parse_number.hpp                       |   47 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/detail/string_view.hpp                        |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/detail/write_number.hpp                       |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/encode_json.hpp                               |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/encode_traits.hpp                             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/extension_traits.hpp                          |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/item_event_visitor.hpp                        |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json.hpp                                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_array.hpp                                |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_content_handler.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_cursor.hpp                               |   19 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_decoder.hpp                              |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_encoder.hpp                              |  139 +
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_error.hpp                                |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_exception.hpp                            |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_filter.hpp                               |    9 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_fwd.hpp                                  |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_object.hpp                               |   79 -
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_options.hpp                              |   31 
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_reader.hpp                               |   11 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_traits_macros.hpp                        |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_traits_macros_deprecated.hpp             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_type.hpp                                 |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_type_traits.hpp                          |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/json_visitor.hpp                              |    6 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/pretty_print.hpp                              |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/ser_context.hpp                               |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/sink.hpp                                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/source.hpp                                    |    6 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/source_adaptor.hpp                            |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/staj_cursor.hpp                               |  492 ------
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/staj_event.hpp                                |only
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/staj_event_reader.hpp                         |only
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/staj_iterator.hpp                             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/tag_type.hpp                                  |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/text_source_adaptor.hpp                       |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/typed_array_view.hpp                          |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/unicode_traits.hpp                            |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/uri.hpp                                       |  723 ++++++++--
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons/value_converter.hpp                           |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/bson.hpp                             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/bson_cursor.hpp                      |    4 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/bson_encoder.hpp                     |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/bson_error.hpp                       |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/bson_options.hpp                     |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/bson_parser.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/bson_reader.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/bson_type.hpp                        |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/decode_bson.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/bson/encode_bson.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor.hpp                             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor_cursor.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor_detail.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor_encoder.hpp                     |   10 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor_error.hpp                       |    3 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor_event_reader.hpp                |    8 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor_options.hpp                     |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor_parser.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/cbor_reader.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/decode_cbor.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/cbor/encode_cbor.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/csv.hpp                               |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/csv_cursor.hpp                        |   10 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/csv_encoder.hpp                       |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/csv_error.hpp                         |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/csv_options.hpp                       |    6 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/csv_parser.hpp                        |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/csv_reader.hpp                        |   12 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/csv_serializer.hpp                    |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/decode_csv.hpp                        |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/csv/encode_csv.hpp                        |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jmespath/jmespath.hpp                     |    4 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jmespath/jmespath_error.hpp               |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpatch/jsonpatch.hpp                   |   10 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpatch/jsonpatch_error.hpp             |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/expression.hpp                   |    7 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/flatten.hpp                      |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/json_location.hpp                |   74 +
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/json_location_parser.hpp         |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/json_query.hpp                   |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/jsonpath.hpp                     |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/jsonpath_error.hpp               |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/jsonpath_expression.hpp          |    2 
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/jsonpath_selector.hpp            |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpath/jsonpath_utilities.hpp           |    2 
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/jsonpointer/jsonpointer_error.hpp         |    2 
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/msgpack/msgpack.hpp                       |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/msgpack/msgpack_cursor.hpp                |    2 
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/ubjson/decode_ubjson.hpp                  |    2 
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/ubjson/ubjson.hpp                         |    2 
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/ubjson/ubjson_error.hpp                   |    2 
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 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/ubjson/ubjson_reader.hpp                  |    2 
 rjsoncons-1.3.0/rjsoncons/inst/include/jsoncons_ext/ubjson/ubjson_type.hpp                    |    2 
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 rjsoncons-1.3.0/rjsoncons/inst/tinytest/test_utilities.R                                      |    6 
 rjsoncons-1.3.0/rjsoncons/man/as_r.Rd                                                         |   35 
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 rjsoncons-1.3.0/rjsoncons/src/j_as.h                                                          |   55 
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 rjsoncons-1.3.0/rjsoncons/vignettes/a_rjsoncons.Rmd                                           |  349 ++++
 213 files changed, 3470 insertions(+), 1921 deletions(-)

More information about rjsoncons at CRAN
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Package graphicalExtremes updated to version 0.3.2 with previous version 0.3.1 dated 2024-02-22

Title: Statistical Methodology for Graphical Extreme Value Models
Description: Statistical methodology for sparse multivariate extreme value models. Methods are provided for exact simulation and statistical inference for multivariate Pareto distributions on graphical structures as described in the paper 'Graphical Models for Extremes' by Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.
Author: Sebastian Engelke [aut, cre], Adrien S. Hitz [aut], Nicola Gnecco [aut], Manuel Hentschel [aut]
Maintainer: Sebastian Engelke <sebastian.engelke@unige.ch>

Diff between graphicalExtremes versions 0.3.1 dated 2024-02-22 and 0.3.2 dated 2024-04-18

 DESCRIPTION                              |    8 
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 NAMESPACE                                |    2 
 R/data_danube.R                          |    2 
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Package rnndescent updated to version 0.1.5 with previous version 0.1.4 dated 2024-03-18

Title: Nearest Neighbor Descent Method for Approximate Nearest Neighbors
Description: The Nearest Neighbor Descent method for finding approximate nearest neighbors by Dong and co-workers (2010) <doi:10.1145/1963405.1963487>. Based on the 'Python' package 'PyNNDescent' <https://github.com/lmcinnes/pynndescent>.
Author: James Melville [aut, cre, cph], Vitalie Spinu [ctb], Ralf Stubner [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

Diff between rnndescent versions 0.1.4 dated 2024-03-18 and 0.1.5 dated 2024-04-18

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Package felp updated to version 0.5.0 with previous version 0.4.0 dated 2024-03-29

Title: Functional Help for Functions, Objects, and Packages
Description: Enhance R help system by fuzzy search and preview interface, pseudo-postfix operators, and more. The `?.` pseudo-postfix operator and the `?` prefix operator displays documents and contents (source or structure) of objects simultaneously to help understanding the objects. The `?p` pseudo-postfix operator displays package documents, and is shorter than help(package = foo).
Author: Atsushi Yasumoto [aut, cph, cre]
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

Diff between felp versions 0.4.0 dated 2024-03-29 and 0.5.0 dated 2024-04-18

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Package batchmix updated to version 2.2.0 with previous version 2.1.0 dated 2024-02-24

Title: Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction
Description: Semi-supervised and unsupervised Bayesian mixture models that simultaneously infer the cluster/class structure and a batch correction. Densities available are the multivariate normal and the multivariate t. The model sampler is implemented in C++. This package is aimed at analysis of low-dimensional data generated across several batches. See Coleman et al. (2022) <doi:10.1101/2022.01.14.476352> for details of the model.
Author: Stephen Coleman [aut, cre], Paul Kirk [aut], Chris Wallace [aut]
Maintainer: Stephen Coleman <stcolema@tcd.ie>

Diff between batchmix versions 2.1.0 dated 2024-02-24 and 2.2.0 dated 2024-04-18

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New package spheresmooth with initial version 0.1.0
Package: spheresmooth
Title: Piecewise Geodesic Smoothing for Spherical Data
Version: 0.1.0
Description: Fitting a smooth path to a given set of noisy spherical data observed at known time points. It implements a piecewise geodesic curve fitting method on the unit sphere based on a velocity-based penalization scheme. The proposed approach is implemented using the Riemannian block coordinate descent algorithm. To understand the method and algorithm, one can refer to Bak, K. Y., Shin, J. K., & Koo, J. Y. (2023) <doi:10.1080/02664763.2022.2054962> for the case of order 1. Additionally, this package includes various functions necessary for handling spherical data.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: rgl, sphereplot
NeedsCompilation: no
Packaged: 2024-04-17 14:04:35 UTC; bak
Author: Seyoung Lee [aut] , Kwan-Young Bak [aut, cre, cph]
Maintainer: Kwan-Young Bak <kybak@sungshin.ac.kr>
Repository: CRAN
Date/Publication: 2024-04-18 14:32:48 UTC

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New package MethEvolSIM with initial version 0.1
Package: MethEvolSIM
Title: Simulate DNA Methylation Dynamics on Different Genomic Structures along Genealogies
Version: 0.1
Author: Sara Castillo Vicente [aut, cre], Dirk Metzler [aut, ths]
Maintainer: Sara Castillo Vicente <castillo@bio.lmu.de>
Description: DNA methylation is an epigenetic modification involved in genomic stability, gene regulation, development and disease. DNA methylation occurs mainly through the addition of a methyl group to cytosines, for example to cytosines in a CpG dinucleotide context (CpG stands for a cytosine followed by a guanine). Tissue-specific methylation patterns lead to genomic regions with different characteristic methylation levels. E.g. in vertebrates CpG islands (regions with high CpG content) that are associated to promoter regions of expressed genes tend to be unmethylated. 'MethEvolSIM' is a model-based simulation software for the generation and modification of cytosine methylation patterns along a given tree, which can be a genealogy of cells within an organism, a coalescent tree of DNA sequences sampled from a population, or a species tree. The simulations are based on an extension of the model of Grosser & Metzler (2020) <doi:10.1186/s12859-020-3438-5> and allows for changes of the met [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: R6
Depends: R (>= 4.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-17 10:39:04 UTC; castillo
Repository: CRAN
Date/Publication: 2024-04-18 14:12:43 UTC

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New package MCCM with initial version 0.1.0
Package: MCCM
Title: Mixed Correlation Coefficient Matrix
Version: 0.1.0
Description: The IRLS (Iteratively Reweighted Least Squares) and GMM (Generalized Method of Moments) methods are applied to estimate mixed correlation coefficient matrix (Pearson, Polyseries, Polychoric), which can be estimated in pairs or simultaneously. For more information see Peng Zhang and Ben Liu (2024) <doi:10.1080/10618600.2023.2257251>; Ben Liu and Peng Zhang (2024) <doi:10.48550/arXiv.2404.06781>.
License: GPL
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
Depends: R (>= 3.5.0),
Imports: MASS, polycor, lavaan, mvtnorm
NeedsCompilation: no
Packaged: 2024-04-17 07:07:41 UTC; Administrator
Author: Ben Liu [aut, cre], Peng Zhang [ths], Xiaowei Lou [aut, dtc]
Maintainer: Ben Liu <12035024@zju.edu.cn>
Repository: CRAN
Date/Publication: 2024-04-18 14:02:52 UTC

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New package ipeaplot with initial version 0.3.1
Package: ipeaplot
Title: Add Ipea Editorial Standards to 'ggplot2' Graphics
Version: 0.3.1
Maintainer: Pedro Ferreira <pedro.ferreira2@ipea.gov.br>
Description: Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
License: MIT + file LICENSE
URL: https://github.com/ipeadata-lab/ipeaplot
BugReports: https://github.com/ipeadata-lab/ipeaplot/issues
Depends: R (>= 3.3.2)
Imports: checkmate, extrafont, ggplot2, grDevices, paletteer, scales, rlang, ggthemes, showtext
Suggests: abjData, data.table, dplyr, forcats, geobr, knitr, patchwork, purrr, reshape, rmarkdown, sf, sysfonts, testthat, tidyr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-17 10:36:20 UTC; caval
Author: Pedro Ferreira [aut, cre], Pedro Jorge [aut], Daniel Lima [aut], Gustavo Coelho [aut], Rafael H. M. Pereira [aut], Lucas Mation [aut], Ipea - Institue for Applied Economic Research [cph, fnd]
Repository: CRAN
Date/Publication: 2024-04-18 14:02:44 UTC

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New package CropWaterBalance with initial version 0.2.0
Package: CropWaterBalance
Title: Climate Water Balance for Irrigation Purposes
Version: 0.2.0
Description: Calculates daily climate water balance for irrigation purposes and also calculates the reference evapotranspiration (ET) using three methods, Penman and Monteith (Allen et al. 1998, ISBN:92-5-104219-5); Priestley and Taylor (1972) <doi:10/cr3qwn>; or Hargreaves and Samani (1985) <doi:10.13031/2013.26773>. Users may specify a management allowed depletion (MAD), which is used to suggest when to irrigate. The functionality allows for the use of crop and water stress coefficients as well.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.10)
LazyData: true
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: PowerSDI, lubridate, stats
URL: https://github.com/gabrielblain/CropWaterBalance
BugReports: https://github.com/gabrielblain/CropWaterBalance/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-17 10:17:03 UTC; Gabriel
Author: Gabriel Constantino Blain [aut, cre] , Graciela R. Sobierajski [aut] , Regina C. Matos Pires [aut] , Adam H. Sparks [aut] , Leticia L. Martins [aut]
Maintainer: Gabriel Constantino Blain <gabriel.blain@sp.gov.br>
Repository: CRAN
Date/Publication: 2024-04-18 14:02:55 UTC

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New package bagyo with initial version 0.1.1
Package: bagyo
Title: Philippine Tropical Cyclones Data
Version: 0.1.1
Description: The Philippines frequently experiences tropical cyclones (called 'bagyo' in the Filipino language) because of its geographical position. These cyclones typically bring heavy rainfall, leading to widespread flooding, as well as strong winds that cause significant damage to human life, crops, and property. Data on cyclones are collected and curated by the Philippine Atmospheric, Geophysical, and Astronomical Services Administration or 'PAGASA' and made available through its website <https://bagong.pagasa.dost.gov.ph/tropical-cyclone/publications/annual-report>. This package contains Philippine tropical cyclones data in a machine-readable format. It is hoped that this data package provides an interesting and unique dataset for data exploration and visualisation.
License: CC0
Depends: R (>= 2.10)
Suggests: dplyr, ggplot2, knitr, lubridate, pdftools, rmarkdown, spelling, testthat (>= 3.0.0), tibble, tidyr
Encoding: UTF-8
Language: en-GB
LazyData: true
URL: https://panukatan.io/bagyo/, https://github.com/panukatan/bagyo
BugReports: https://github.com/panukatan/bagyo/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-17 08:50:25 UTC; ernestguevarra
Author: Ernest Guevarra [aut, cre, cph]
Maintainer: Ernest Guevarra <ernest@guevarra.io>
Repository: CRAN
Date/Publication: 2024-04-18 14:02:48 UTC

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New package sentopics with initial version 0.7.3
Package: sentopics
Title: Tools for Joint Sentiment and Topic Analysis of Textual Data
Version: 0.7.3
Date: 2024-04-17
Maintainer: Olivier Delmarcelle <delmarcelle.olivier@gmail.com>
Description: A framework that joins topic modeling and sentiment analysis of textual data. The package implements a fast Gibbs sampling estimation of Latent Dirichlet Allocation (Griffiths and Steyvers (2004) <doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He, Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of helpers and visualizations to analyze the result of topic modeling. The framework also allows enriching topic models with dates and externally computed sentiment measures. A flexible aggregation scheme enables the creation of time series of sentiment or topical proportions from the enriched topic models. Moreover, a novel method jointly aggregates topic proportions and sentiment measures to derive time series of topical sentiment.
License: GPL (>= 3)
BugReports: https://github.com/odelmarcelle/sentopics/issues
URL: https://github.com/odelmarcelle/sentopics
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.4.6), methods, generics, quanteda (>= 3.2.0), data.table (>= 1.13.6), RcppHungarian
Suggests: ggplot2, ggridges, plotly, RColorBrewer, xts, zoo, future, future.apply, progressr, progress, testthat, covr, stm, lda, topicmodels, seededlda, keyATM, LDAvis, servr, textcat, stringr, sentometrics, spacyr, knitr, rmarkdown, webshot
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
RcppModules: model_module
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-18 10:38:58 UTC; odlmarce
Author: Olivier Delmarcelle [aut, cre] , Samuel Borms [ctb] , Chengua Lin [cph] , Yulan He [cph] , Jose Bernardo [cph] , David Robinson [cph] ), Julia Silge [cph] , <https://orcid.org/0000-0002-3671-836X>)
Repository: CRAN
Date/Publication: 2024-04-18 13:12:38 UTC

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Package multbxxc updated to version 1.0.2 with previous version 1.0.1 dated 2019-11-15

Title: Auxiliary Routines for Influx Software
Description: Contains auxiliary routines for influx software. This packages is not intended to be used directly. Influx was published here: Sokol et al. (2012) <doi:10.1093/bioinformatics/btr716>.
Author: Serguei Sokol
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between multbxxc versions 1.0.1 dated 2019-11-15 and 1.0.2 dated 2024-04-18

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Package keras3 updated to version 0.2.0 with previous version 0.1.0 dated 2024-02-17

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Author: Tomasz Kalinowski [aut, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Francois Chollet [aut, cph], Posit Software, PBC [cph, fnd], Google [cph, fnd], Yuan Tang [ctb, cph] , Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigri [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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 keras3-0.2.0/keras3/man/op_extract_sequences.Rd                                |   16 
 keras3-0.2.0/keras3/man/op_eye.Rd                                              |   17 
 keras3-0.2.0/keras3/man/op_fft.Rd                                              |   16 
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 keras3-0.2.0/keras3/man/op_fori_loop.Rd                                        |   16 
 keras3-0.2.0/keras3/man/op_full.Rd                                             |   17 
 keras3-0.2.0/keras3/man/op_full_like.Rd                                        |   17 
 keras3-0.2.0/keras3/man/op_gelu.Rd                                             |   17 
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 keras3-0.2.0/keras3/man/op_image_pad.Rd                                        |   17 
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 keras3-0.2.0/keras3/man/op_irfft.Rd                                            |   16 
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 keras3-0.2.0/keras3/man/op_isinf.Rd                                            |   17 
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 keras3-0.2.0/keras3/man/op_istft.Rd                                            |   16 
 keras3-0.2.0/keras3/man/op_leaky_relu.Rd                                       |   17 
 keras3-0.2.0/keras3/man/op_less.Rd                                             |   40 
 keras3-0.2.0/keras3/man/op_less_equal.Rd                                       |   40 
 keras3-0.2.0/keras3/man/op_linspace.Rd                                         |   17 
 keras3-0.2.0/keras3/man/op_log.Rd                                              |   17 
 keras3-0.2.0/keras3/man/op_log10.Rd                                            |   17 
 keras3-0.2.0/keras3/man/op_log1p.Rd                                            |   17 
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 keras3-0.2.0/keras3/man/op_min.Rd                                              |   17 
 keras3-0.2.0/keras3/man/op_minimum.Rd                                          |   17 
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 keras3-0.2.0/keras3/man/op_moveaxis.Rd                                         |   17 
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 keras3-0.2.0/keras3/man/op_multiply.Rd                                         |   40 
 keras3-0.2.0/keras3/man/op_nan_to_num.Rd                                       |   17 
 keras3-0.2.0/keras3/man/op_ndim.Rd                                             |   17 
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 keras3-0.2.0/keras3/man/op_not_equal.Rd                                        |   40 
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 keras3-0.2.0/keras3/man/op_ones.Rd                                             |   17 
 keras3-0.2.0/keras3/man/op_ones_like.Rd                                        |   17 
 keras3-0.2.0/keras3/man/op_outer.Rd                                            |   17 
 keras3-0.2.0/keras3/man/op_pad.Rd                                              |   17 
 keras3-0.2.0/keras3/man/op_power.Rd                                            |   40 
 keras3-0.2.0/keras3/man/op_prod.Rd                                             |   17 
 keras3-0.2.0/keras3/man/op_qr.Rd                                               |   38 
 keras3-0.2.0/keras3/man/op_quantile.Rd                                         |   17 
 keras3-0.2.0/keras3/man/op_ravel.Rd                                            |   17 
 keras3-0.2.0/keras3/man/op_real.Rd                                             |   17 
 keras3-0.2.0/keras3/man/op_reciprocal.Rd                                       |   17 
 keras3-0.2.0/keras3/man/op_relu.Rd                                             |   17 
 keras3-0.2.0/keras3/man/op_relu6.Rd                                            |   17 
 keras3-0.2.0/keras3/man/op_repeat.Rd                                           |   17 
 keras3-0.2.0/keras3/man/op_reshape.Rd                                          |   25 
 keras3-0.2.0/keras3/man/op_rfft.Rd                                             |   16 
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 keras3-0.2.0/keras3/man/op_round.Rd                                            |   17 
 keras3-0.2.0/keras3/man/op_rsqrt.Rd                                            |   16 
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 keras3-0.2.0/keras3/man/op_segment_max.Rd                                      |   16 
 keras3-0.2.0/keras3/man/op_segment_sum.Rd                                      |   16 
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 keras3-0.2.0/keras3/man/op_sigmoid.Rd                                          |   17 
 keras3-0.2.0/keras3/man/op_sign.Rd                                             |   17 
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 keras3-0.2.0/keras3/man/op_slice.Rd                                            |   16 
 keras3-0.2.0/keras3/man/op_slice_update.Rd                                     |   16 
 keras3-0.2.0/keras3/man/op_softmax.Rd                                          |   17 
 keras3-0.2.0/keras3/man/op_softplus.Rd                                         |   17 
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 keras3-0.2.0/keras3/man/op_split.Rd                                            |   17 
 keras3-0.2.0/keras3/man/op_sqrt.Rd                                             |   17 
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 keras3-0.2.0/keras3/man/op_squeeze.Rd                                          |   17 
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 keras3-0.2.0/keras3/man/op_std.Rd                                              |   17 
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 keras3-0.2.0/keras3/man/op_tile.Rd                                             |   17 
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 keras3-0.2.0/keras3/man/op_zeros.Rd                                            |   17 
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 keras3-0.2.0/keras3/man/random_shuffle.Rd                                      |    2 
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 keras3-0.2.0/keras3/man/rnn_cell_gru.Rd                                        |    3 
 keras3-0.2.0/keras3/man/rnn_cell_lstm.Rd                                       |    3 
 keras3-0.2.0/keras3/man/rnn_cell_simple.Rd                                     |    3 
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Package databraryr updated to version 0.6.4 with previous version 0.6.3 dated 2024-03-26

Title: Interact with the 'Databrary.org' API
Description: 'Databrary.org' is a restricted access repository for research data, especially video and audio. This package provides commands to interact with the data stored on 'Databrary.org'.
Author: Rick O. Gilmore [aut, cre, cph], Jeffrey Spies [aut], National Science Foundation OAC-2032713 [fnd], National Institutes of Health R01HD094830 [fnd]
Maintainer: Rick O. Gilmore <rog1@psu.edu>

Diff between databraryr versions 0.6.3 dated 2024-03-26 and 0.6.4 dated 2024-04-18

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 databraryr-0.6.4/databraryr/DESCRIPTION                                               |   44 ++---
 databraryr-0.6.4/databraryr/MD5                                                       |   34 ++--
 databraryr-0.6.4/databraryr/NAMESPACE                                                 |    2 
 databraryr-0.6.4/databraryr/NEWS.md                                                   |    6 
 databraryr-0.6.4/databraryr/R/download_session_asset.R                                |   14 +
 databraryr-0.6.4/databraryr/R/download_session_assets_fr_df.R                         |   60 ++++---
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 databraryr-0.6.4/databraryr/R/get_db_stats.R                                          |   21 +-
 databraryr-0.6.4/databraryr/R/list_volume_assets.R                                    |    9 +
 databraryr-0.6.4/databraryr/R/utils.R                                                 |   37 ++++
 databraryr-0.6.4/databraryr/README.md                                                 |    3 
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Package bayesROE updated to version 0.2 with previous version 0.1 dated 2023-03-09

Title: Bayesian Regions of Evidence
Description: Computation and visualization of Bayesian Regions of Evidence to systematically evaluate the sensitivity of a superiority or non-inferiority claim against any prior assumption of its assessors. Methodological details are elaborated by Hoefler and Miller (<https://osf.io/jxnsv>). Besides generic functions, the package also provides an intuitive 'Shiny' application, that can be run in local R environments.
Author: Robert Miller [cre, aut]
Maintainer: Robert Miller <robert.miller@tu-dresden.de>

Diff between bayesROE versions 0.1 dated 2023-03-09 and 0.2 dated 2024-04-18

 DESCRIPTION                             |   19 +-
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More information about bayesROE at CRAN
Permanent link

Package socialmixr updated to version 0.3.2 with previous version 0.3.1 dated 2023-10-26

Title: Social Mixing Matrices for Infectious Disease Modelling
Description: Provides methods for sampling contact matrices from diary data for use in infectious disease modelling, as discussed in Mossong et al. (2008) <doi:10.1371/journal.pmed.0050074>.
Author: Sebastian Funk [aut, cre], Lander Willem [aut], Hugo Gruson [aut], Maria Bekker-Nielsen Dunbar [ctb], Carl A. B. Pearson [ctb], Sam Clifford [ctb], Christopher Jarvis [ctb], Alexis Robert [ctb], Niel Hens [ctb], Pietro Coletti [col, dtm]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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More information about socialmixr at CRAN
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Package MBNMAdose updated to version 0.4.3 with previous version 0.4.2 dated 2023-08-08

Title: Dose-Response MBNMA Models
Description: Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that incorporate multiple doses within an agent by modelling different dose-response functions, as described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>. By modelling dose-response relationships this can connect networks of evidence that might otherwise be disconnected, and can improve precision on treatment estimates. Several common dose-response functions are provided; others may be added by the user. Various characteristics and assumptions can be flexibly added to the models, such as shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting at the treatment level.
Author: Hugo Pedder [aut, cre] , Adil Karim [ctb]
Maintainer: Hugo Pedder <hugopedder@gmail.com>

Diff between MBNMAdose versions 0.4.2 dated 2023-08-08 and 0.4.3 dated 2024-04-18

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More information about MBNMAdose at CRAN
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Package lokern updated to version 1.1-11 with previous version 1.1-10.1 dated 2023-12-07

Title: Kernel Regression Smoothing with Local or Global Plug-in Bandwidth
Description: Kernel regression smoothing with adaptive local or global plug-in bandwidth selection.
Author: Eva Herrmann <eherrmann@mathematik.tu-darmstadt.de> ; Packaged for R and enhanced by Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between lokern versions 1.1-10.1 dated 2023-12-07 and 1.1-11 dated 2024-04-18

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New package glinvci with initial version 1.2.4
Package: glinvci
Title: Phylogenetic Comparative Methods with Uncertainty Estimates
Version: 1.2.4
Date: 2024-04-16
Maintainer: Woodrow Kiang <hello@hckiang.com>
Description: A framework for analytically computing the asymptotic confidence intervals and maximum-likelihood estimates of a class of continuous-time Gaussian branching processes defined by Mitov V, Bartoszek K, Asimomitis G, Stadler T (2019) <doi:10.1016/j.tpb.2019.11.005>. The class of model includes the widely used Ornstein-Uhlenbeck and Brownian motion branching processes. The framework is designed to be flexible enough so that the users can easily specify their own sub-models, or re-parameterizations, and obtain the maximum-likelihood estimates and confidence intervals of their own custom models.
License: GPL-3
VignetteBuilder: utils
Encoding: UTF-8
URL: https://git.sr.ht/~hckiang/glinvci, https://github.com/hckiang/glinvci
Depends: R (>= 3.3.0)
Imports: optimx, lbfgsb3c, BB, ape, numDeriv, plyr, rlang, generics, utils, stats
Suggests: testthat
NeedsCompilation: yes
Packaged: 2024-04-16 22:11:39 UTC; hckiang
Author: Woodrow Kiang [cre, aut]
Repository: CRAN
Date/Publication: 2024-04-18 10:32:44 UTC

More information about glinvci at CRAN
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Package bibliometrix updated to version 4.2.0 with previous version 4.1.4 dated 2023-11-28

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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

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

2024-04-03 0.2.2

Permanent link
Package stopp updated to version 0.2.3 with previous version 0.2.2 dated 2024-04-16

Title: Spatio-Temporal Point Pattern Methods, Model Fitting, Diagnostics, Simulation, Local Tests
Description: Toolbox for different kinds of spatio-temporal analyses to be performed on observed point patterns, following the growing stream of literature on point process theory. This R package implements functions to perform different kinds of analyses on point processes, proposed in the papers (Siino, Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al. 2018<doi:10.1002/env.2463>; Adelfio et al. 2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and Mateu 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo, Adelfio, and Mateu 2022<doi:10.1007/s00362-022-01338-4>; D’Angelo, Adelfio, and Mateu 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling, statistical inference, and simulation issues on spatio-temporal point processes on Euclidean space and linear networks.
Author: Nicoletta D'Angelo [aut, cre] , Giada Adelfio [aut]
Maintainer: Nicoletta D'Angelo <nicoletta.dangelo@unipa.it>

Diff between stopp versions 0.2.2 dated 2024-04-16 and 0.2.3 dated 2024-04-18

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Package geometa updated to version 0.8-0 with previous version 0.7-1 dated 2022-10-27

Title: Tools for Reading and Writing ISO/OGC Geographic Metadata
Description: Provides facilities to read, write and validate geographic metadata defined with ISO TC211 / OGC ISO geographic information metadata standards, and encoded using the ISO 19139 (XML) standard technical specification. This includes ISO 19110 (Feature cataloguing), 19115 (dataset metadata), 19119 (service metadata) and 19136 (GML). Other interoperable schemas from the OGC are progressively supported as well, such as the Sensor Web Enablement (SWE) Common Data Model, the OGC GML Coverage Implementation Schema (GMLCOV), or the OGC GML Referenceable Grid (GMLRGRID).
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geometa versions 0.7-1 dated 2022-10-27 and 0.8-0 dated 2024-04-18

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Package rpm updated to version 0.7-3 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 0.7-3 dated 2024-04-18

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More information about rpm at CRAN
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Package LexisNexisTools updated to version 1.0.0 with previous version 0.3.7 dated 2023-07-05

Title: Working with Files from 'LexisNexis'
Description: My PhD supervisor once told me that everyone doing newspaper analysis starts by writing code to read in files from the 'LexisNexis' newspaper archive (retrieved e.g., from <https://www.lexisnexis.com/> or any of the partner sites). However, while this is a nice exercise I do recommend, not everyone has the time. This package takes files downloaded from the newspaper archive of 'LexisNexis', reads them into R and offers functions for further processing.
Author: Johannes B. Gruber [aut, cre]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

Diff between LexisNexisTools versions 0.3.7 dated 2023-07-05 and 1.0.0 dated 2024-04-18

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Package explainer updated to version 1.0.1 with previous version 1.0.0 dated 2023-12-15

Title: Machine Learning Model Explainer
Description: It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.
Author: Ramtin Zargari Marandi [aut, cre]
Maintainer: Ramtin Zargari Marandi <ramtin.zargari.marandi@regionh.dk>

Diff between explainer versions 1.0.0 dated 2023-12-15 and 1.0.1 dated 2024-04-18

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 12 files changed, 202 insertions(+), 207 deletions(-)

More information about explainer at CRAN
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Package bliss updated to version 1.0.5 with previous version 1.0.4 dated 2022-02-16

Title: Bayesian Functional Linear Regression with Sparse Step Functions
Description: A method for the Bayesian functional linear regression model (scalar-on-function), including two estimators of the coefficient function and an estimator of its support. A representation of the posterior distribution is also available. Grollemund P-M., Abraham C., Baragatti M., Pudlo P. (2019) <doi:10.1214/18-BA1095>.
Author: Paul-Marie Grollemund [aut, cre], Isabelle Sanchez [ctr], Meili Baragatti [ctr]
Maintainer: Paul-Marie Grollemund <paul.marie.grollemund@gmail.com>

Diff between bliss versions 1.0.4 dated 2022-02-16 and 1.0.5 dated 2024-04-18

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 NEWS.md                               |   36 
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 57 files changed, 5425 insertions(+), 5157 deletions(-)

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Package ClickHouseHTTP updated to version 0.3.3 with previous version 0.3.2 dated 2023-07-04

Title: A Simple HTTP Database Interface to 'ClickHouse'
Description: 'ClickHouse' (<https://clickhouse.com/>) is an open-source, high performance columnar OLAP (online analytical processing of queries) database management system for real-time analytics using SQL. This 'DBI' backend relies on the 'ClickHouse' HTTP interface and support HTTPS protocol.
Author: Patrice Godard [aut, cre, cph], Eusebiu Marcu [ctb]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between ClickHouseHTTP versions 0.3.2 dated 2023-07-04 and 0.3.3 dated 2024-04-18

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
 R/result.R  |   25 ++++++++++++++++++++++---
 3 files changed, 28 insertions(+), 9 deletions(-)

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