Thu, 23 Jun 2022

Package mable updated to version 3.1.1 with previous version 3.1.0 dated 2022-06-07

Title: Maximum Approximate Bernstein/Beta Likelihood Estimation
Description: Fit data from a continuous population with a smooth density on finite interval by an approximate Bernstein polynomial model which is a mixture of certain beta distributions and find maximum approximate Bernstein likelihood estimator of the unknown coefficients. Consequently, maximum likelihood estimates of the unknown density, distribution functions, and more can be obtained. If the support of the density is not the unit interval then transformation can be applied. This is an implementation of the methods proposed by the author of this package published in the Journal of Nonparametric Statistics: Guan (2016) <doi:10.1080/10485252.2016.1163349> and Guan (2017) <doi:10.1080/10485252.2017.1374384>. For data with covariates, under some semiparametric regression models such as Cox proportional hazards model and the accelerated failure time model, the baseline survival function can be estimated smoothly based on general interval censored data.
Author: Zhong Guan [aut, cre]
Maintainer: Zhong Guan <zguan@iusb.edu>

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Package VariableScreening updated to version 0.2.1 with previous version 0.2.0 dated 2018-08-09

Title: High-Dimensional Screening for Semiparametric Longitudinal Regression
Description: Implements variable screening techniques for ultra-high dimensional regression settings. Techniques for independent (iid) data, varying-coefficient models, and longitudinal data are implemented. The package currently contains three screen functions: screenIID(), screenLD() and screenVCM(), and six methods for simulating dataset: simulateDCSIS(), simulateLD, simulateMVSIS(), simulateMVSISNY(), simulateSIRS() and simulateVCM(). The package is based on the work of Li-Ping ZHU, Lexin LI, Runze LI, and Li-Xing ZHU (2011) <DOI:10.1198/jasa.2011.tm10563>, Runze LI, Wei ZHONG, & Liping ZHU (2012) <DOI:10.1080/01621459.2012.695654>, Jingyuan LIU, Runze LI, & Rongling WU (2014) <DOI:10.1080/01621459.2013.850086> Hengjian CUI, Runze LI, & Wei ZHONG (2015) <DOI:10.1080/01621459.2014.920256>, and Wanghuan CHU, Runze LI and Matthew REIMHERR (2016) <DOI:10.1214/16-AOAS912>.
Author: Runze Li [aut], Liying Huang [aut], John Dziak [aut, cre]
Maintainer: John Dziak <dziakj1@gmail.com>

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Package StanMoMo updated to version 1.1.0 with previous version 1.0.0 dated 2021-10-07

Title: Bayesian Mortality Modelling with 'Stan'
Description: Implementation of popular mortality models using the 'rstan' package, which provides the R interface to the 'Stan' C++ library for Bayesian estimation. The package supports well-known models proposed in the actuarial and demographic literature including the Lee-Carter (1992) <doi:10.1080/01621459.1992.10475265> and the Cairns-Blake-Dowd (2006) <doi:10.1111/j.1539-6975.2006.00195.x> models. By a simple call, the user inputs deaths and exposures and the package outputs the MCMC simulations for each parameter, the log likelihoods and predictions. Moreover, the package includes tools for model selection and Bayesian model averaging by leave future-out validation.
Author: Karim Barigou [aut, cre] , Pierre-Olivier Goffard [aut]
Maintainer: Karim Barigou <karim290492@gmail.com>

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Package SSBtools updated to version 1.3.3 with previous version 1.3.0 dated 2022-04-01

Title: Statistics Norway's Miscellaneous Tools
Description: Functions used by other packages from Statistics Norway are gathered. General data manipulation functions, and functions for hierarchical computations are included (Langsrud, 2020) <doi:10.13140/RG.2.2.27313.61283>. The hierarchy specification functions are useful within statistical disclosure control.
Author: Oyvind Langsrud [aut, cre], Daniel Lupp [aut], Bjoern-Helge Mevik [ctb]
Maintainer: Oyvind Langsrud <oyl@ssb.no>

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Package sjSDM updated to version 1.0.2 with previous version 1.0.1 dated 2022-03-11

Title: Scalable Joint Species Distribution Modeling
Description: A scalable method to estimate joint Species Distribution Models (jSDMs) for big community datasets based on a Monte Carlo approximation of the joint likelihood. The numerical approximation is based on 'PyTorch' and 'reticulate', and can be run on CPUs and GPUs alike. The method is described in Pichler & Hartig (2021) <doi:10.1111/2041-210X.13687>. The package contains various extensions, including support for different response families, ability to account for spatial autocorrelation, and deep neural networks instead of the linear predictor in jSDMs.
Author: Maximilian Pichler [aut, cre] , Florian Hartig [aut] , Wang Cai [ctb]
Maintainer: Maximilian Pichler <maximilian.pichler@biologie.uni-regensburg.de>

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Package MOST updated to version 0.1.2 with previous version 0.1.0 dated 2017-11-09

Title: Multiphase Optimization Strategy
Description: Provides functions similar to the 'SAS' macros previously provided to accompany Collins, Dziak, and Li (2009) <DOI:10.1037/a0015826> and Dziak, Nahum-Shani, and Collins (2012) <DOI:10.1037/a0026972>, papers which outline practical benefits and challenges of factorial and fractional factorial experiments for scientists interested in developing biological and/or behavioral interventions, especially in the context of the multiphase optimization strategy (see Collins, Kugler & Gwadz 2016) <DOI:10.1007/s10461-015-1145-4>. The package currently contains three functions. First, RelativeCosts1() draws a graph of the relative cost of complete and reduced factorial designs versus other alternatives. Second, RandomAssignmentGenerator() returns a dataframe which contains a list of random numbers that can be used to conveniently assign participants to conditions in an experiment with many conditions. Third, FactorialPowerPlan() estimates the power, detectable effect size, or required sample size of a factorial or fractional factorial experiment, for main effects or interactions, given several possible choices of effect size metric, and allowing pretests and clustering.
Author: Linda Collins [aut], Liying Huang [aut], John Dziak [aut, cre]
Maintainer: John Dziak <dziakj1@gmail.com>

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Package ichimoku updated to version 1.3.2 with previous version 1.3.1 dated 2022-05-23

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package dplR updated to version 1.7.4 with previous version 1.7.3 dated 2022-06-10

Title: Dendrochronology Program Library in R
Description: Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.
Author: Andy Bunn [aut, cph, cre, trl], Mikko Korpela [aut, cph, trl], Franco Biondi [aut, cph], Filipe Campelo [aut, cph], Pierre Merian [aut, cph], Fares Qeadan [aut, cph], Christian Zang [aut, cph], Allan Buras [ctb], Alice Cecile [ctb], Manfred Mudelsee [...truncated...]
Maintainer: Andy Bunn <bunna@wwu.edu>

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Package tidyposterior updated to version 1.0.0 with previous version 0.1.0 dated 2021-03-25

Title: Bayesian Analysis to Compare Models using Resampling Statistics
Description: Bayesian analysis used here to answer the question: "when looking at resampling results, are the differences between models 'real'?" To answer this, a model can be created were the performance statistic is the resampling statistics (e.g. accuracy or RMSE). These values are explained by the model types. In doing this, we can get parameter estimates for each model's affect on performance and make statistical (and practical) comparisons between models. The methods included here are similar to Benavoli et al (2017) <https://jmlr.org/papers/v18/16-305.html>.
Author: Max Kuhn [aut, cre] , RStudio [cph, fnd]
Maintainer: Max Kuhn <max@rstudio.com>

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Package RavenR updated to version 2.1.9 with previous version 2.1.8 dated 2022-06-11

Title: Raven Hydrological Modelling Framework R Support and Analysis
Description: Utilities for processing input and output files associated with the Raven Hydrological Modelling Framework. Includes various plotting functions, model diagnostics, reading output files into extensible time series format, and support for writing Raven input files. The 'RavenR' package is also archived at Chlumsky et al. (2020) <doi:10.5281/zenodo.4248183>. The Raven Hydrologic Modelling Framework method can be referenced with Craig et al. (2020) <doi:10.1016/j.envsoft.2020.104728>.
Author: Robert Chlumsky [cre, aut] , James Craig [ctb, aut] , Leland Scantlebury [ctb, aut], Simon Lin [ctb, aut], Sarah Grass [ctb, aut], Genevieve Brown [ctb, aut], Rezgar Arabzadeh [ctb, aut]
Maintainer: Robert Chlumsky <rchlumsk@uwaterloo.ca>

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Package metamer updated to version 0.3.0 with previous version 0.2.0 dated 2019-09-18

Title: Create Data with Identical Statistics
Description: Creates data with identical statistics (metamers) using an iterative algorithm proposed by Matejka & Fitzmaurice (2017) <DOI:10.1145/3025453.3025912>.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

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Package geomander updated to version 2.1.0 with previous version 2.0.3 dated 2022-03-06

Title: Geographic Tools for Studying Gerrymandering
Description: A compilation of tools to complete common tasks for studying gerrymandering. This focuses on the geographic tool side of common problems, such as linking different levels of spatial units or estimating how to break up units. Functions exist for creating redistricting-focused data for the US.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>

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Package welo updated to version 0.1.2 with previous version 0.1.1 dated 2021-10-12

Title: Weighted and Standard Elo Rates
Description: Estimates the standard and weighted Elo (WElo, Angelini et al., 2022 <doi:10.1016/j.ejor.2021.04.011>) rates. The current version provides Elo and WElo rates for tennis, according to different systems of weights (games or sets) and scale factors (constant, proportional to the number of matches, with more weight on Grand Slam matches or matches played on a specific surface). Moreover, the package gives the possibility of estimating the (bootstrap) standard errors for the rates. Finally, the package includes betting functions that automatically select the matches on which place a bet.
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <candilav@gmail.com>

Diff between welo versions 0.1.1 dated 2021-10-12 and 0.1.2 dated 2022-06-23

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Package tiledb updated to version 0.14.0 with previous version 0.13.0 dated 2022-05-16

Title: Universal Storage Engine for Sparse and Dense Multidimensional Arrays
Description: The universal storage engine 'TileDB' introduces a powerful on-disk format for multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations.
Author: TileDB, Inc. [aut, cph], Dirk Eddelbuettel [cre]
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>

Diff between tiledb versions 0.13.0 dated 2022-05-16 and 0.14.0 dated 2022-06-23

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Package taxonomizr updated to version 0.9.2 with previous version 0.8.0 dated 2021-05-06

Title: Functions to Work with NCBI Accessions and Taxonomy
Description: Functions for assigning taxonomy to NCBI accession numbers and taxon IDs based on NCBI's accession2taxid and taxdump files. This package allows the user to download NCBI data dumps and create a local database for fast and local taxonomic assignment.
Author: Scott Sherrill-Mix [aut, cre]
Maintainer: Scott Sherrill-Mix <shescott@upenn.edu>

Diff between taxonomizr versions 0.8.0 dated 2021-05-06 and 0.9.2 dated 2022-06-23

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Package geomorph updated to version 4.0.4 with previous version 4.0.3 dated 2022-03-02

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 4.0.3 dated 2022-03-02 and 4.0.4 dated 2022-06-23

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New package VirtualPop with initial version 1.0.2
Package: VirtualPop
Title: Simulation of Populations by Sampling Waiting-Time Distributions
Version: 1.0.2
Imports: msm,HMDHFDplus
Suggests: knitr, rmarkdown,ggplot2,foreign,lubridate,xml2,remotes
BuildResaveData: best
VignetteBuilder: knitr
LazyData: true
Date: 2022-06-23
Maintainer: Frans Willekens <willekens@nidi.nl>
Description: Generates lifespans and fertility histories in continuous time using individual-level state transition (multi-state) models and data from the Human Mortality Database and the Human Fertility Database. To facilitate virtual population analysis, data on virtual individuals are stored in a data structure commonly used in sample surveys. Life histories are generated for multiple generations. The genealogies that result facilitate the study of family ties.
License: GPL-2
NeedsCompilation: no
Depends: R (>= 3.5.0)
Encoding: UTF-8
BugReports: https://github.com/willekens/VirtualPop/issues
Packaged: 2022-06-23 12:06:22 UTC; frans
Author: Frans Willekens [aut, cre] , Tim Riffe [ctb]
Repository: CRAN
Date/Publication: 2022-06-23 18:10:15 UTC

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New package shinyNORRRM with initial version 0.8.6
Package: shinyNORRRM
Title: The Ultimate Igneous Norm
Version: 0.8.6
Date: 2022-06-20
Imports: shiny,shinythemes,shinyWidgets,pracma,Ternary,grDevices,graphics,utils
Description: The computer program is an efficient igneous norm algorithm and rock classification system written in R but run as shiny app.
URL: https://github.com/TheRFrog/shinyNORRRM
BugReports: https://github.com/TheRFrog/shinyNORRRM/issues/
License: GPL-3
Depends: R (>= 4.2.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-23 03:21:57 UTC; linus
Author: Carlos Eduardo Sanchez Torres [aut], Kevin Samuel Cardenas-Munoz [aut], Luis Alejandro Elizondo-Pacheco [aut], Renee Gonzalez-Guzman [cre]
Maintainer: Renee Gonzalez-Guzman <rguzman@geociencias.unam.mx>
Repository: CRAN
Date/Publication: 2022-06-23 18:10:02 UTC

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New package shinyCohortBuilder with initial version 0.1
Package: shinyCohortBuilder
Title: Modular Cohort-Building Framework for Analytical Dashboards
Version: 0.1
Maintainer: Krystian Igras <krystian8207@gmail.com>
Description: You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: magrittr, glue, bslib, jsonlite, purrr, ggplot2, ggiraph, htmltools, shiny, shinyWidgets (>= 0.7.0), dplyr, cohortBuilder (>= 0.1), tryCatchLog, highr, shinyGizmo, rlang (>= 1.0), tibble
Suggests: pkgload, packer, sass, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-23 08:52:37 UTC; krystian
Author: Krystian Igras [cre, aut], Kamil Wais [aut], Adam Foryś [ctb]
Repository: CRAN
Date/Publication: 2022-06-23 18:10:05 UTC

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New package makePalette with initial version 0.1.1
Package: makePalette
Title: Make Palette
Version: 0.1.1
Description: Functions that allow you to create your own color palette from an image, using mathematical algorithms.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/musajajorge/makePalette
Imports: raster, cluster, grDevices, rgdal, prismatic
NeedsCompilation: no
Packaged: 2022-06-23 15:44:23 UTC; jorge
Author: Jorge L. C. Musaja [aut, cre]
Maintainer: Jorge L. C. Musaja <musajajorge@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-23 18:10:09 UTC

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Package libr updated to version 1.2.3 with previous version 1.2.2 dated 2021-11-22

Title: Libraries, Data Dictionaries, and a Data Step for R
Description: Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.
Author: David J. Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between libr versions 1.2.2 dated 2021-11-22 and 1.2.3 dated 2022-06-23

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New package lablaster with initial version 0.0.1
Package: lablaster
Title: Laser Ablation Blast Through Endpoint Detection
Version: 0.0.1
Date: 2022-06-20
Description: Imports a data frame containing a single time resolved laser ablation mass spectrometry analysis of a foraminifera (or other carbonate shell), then detects when the laser has burnt through the foraminifera test as a function of change in signal over time.
License: LGPL (>= 3)
Encoding: UTF-8
Imports: magrittr, ggplot2, smooth, scales, stats, rlang
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/alexsb1/lablaster
Language: en-GB
NeedsCompilation: no
Packaged: 2022-06-23 11:43:36 UTC; Alex
Author: Alex Searle-Barnes [aut, cre]
Maintainer: Alex Searle-Barnes <c.j.a.searle-barnes@soton.ac.uk>
Repository: CRAN
Date/Publication: 2022-06-23 18:10:12 UTC

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New package DeltaMAN with initial version 0.5.0
Package: DeltaMAN
Title: Delta Measurement of Agreement for Nominal Data
Version: 0.5.0
Description: Analysis of agreement for nominal data between two raters using the Delta model. This model is proposed as an alternative to the widespread measure Cohen kappa coefficient, which performs poorly when the marginal distributions are very asymmetric (Martin-Andres and Femia-Marzo (2004), <doi:10.1348/000711004849268>; Martin-Andres and Femia-Marzo (2008) <doi:10.1080/03610920701669884>). The package also contains a function to perform a massive analysis of multiple raters against a gold standard. A shiny app is also provided to obtain the measures of nominal agreement between two raters.
License: LGPL-3
Depends: R (>= 3.5.0)
Imports: shiny, shinyMatrix, xtable, shinyBS, knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-23 07:33:42 UTC; amaldonado
Author: Ana D. Maldonado [aut, cre] , Pedro Femia Marzo [aut] , Antonio Martin Andres [aut]
Maintainer: Ana D. Maldonado <ana.d.maldonado@ual.es>
Repository: CRAN
Date/Publication: 2022-06-23 18:10:18 UTC

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New package toolbox with initial version 0.1.0
Package: toolbox
Title: List, String, and Meta Programming Utility Functions
Version: 0.1.0
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>
Description: Includes functions for mapping named lists to function arguments, random strings, pasting and combining rows together across columns, etc.
License: GPL (>= 2)
Encoding: UTF-8
Depends: parallel
NeedsCompilation: no
Packaged: 2022-06-22 21:58:42 UTC; tim
Repository: CRAN
Date/Publication: 2022-06-23 17:40:02 UTC

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Package saws updated to version 0.9-7.0 with previous version 0.9-6.2 dated 2019-12-16

Title: Small-Sample Adjustments for Wald Tests Using Sandwich Estimators
Description: Tests coefficients with sandwich estimator of variance and with small samples. Regression types supported are gee, linear regression, and conditional logistic regression.
Author: Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

Diff between saws versions 0.9-6.2 dated 2019-12-16 and 0.9-7.0 dated 2022-06-23

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Package spatialTIME updated to version 1.2.1 with previous version 1.2.0 dated 2021-09-11

Title: Spatial Analysis of Vectra Immunoflourescent Data
Description: Visualization and analysis of Vectra Immunoflourescent data. Options for calculating both the univariate and bivariate Ripley's K are included. Calculations are performed using a permutation-based approach presented by Wilson et al. <doi:10.1101/2021.04.27.21256104>.
Author: Jordan Creed [aut], Ram Thapa [aut], Christopher Wilson [aut], Alex Soupir [aut], Oscar Ospina [aut], Brooke Fridley [cph], Fridley Lab [cre]
Maintainer: Fridley Lab <fridley.lab@moffitt.org>

Diff between spatialTIME versions 1.2.0 dated 2021-09-11 and 1.2.1 dated 2022-06-23

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Package s2dv updated to version 1.2.0 with previous version 1.1.0 dated 2021-12-17

Title: A Set of Common Tools for Seasonal to Decadal Verification
Description: The advanced version of package 's2dverification'. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility.
Author: BSC-CNS [aut, cph], An-Chi Ho [aut, cre], Nuria Perez-Zanon [aut], Roberto Bilbao [ctb], Josep Cos [ctb], Carlos Delgado [ctb], Llorenc Lledo [ctb], Andrea Manrique [ctb], Deborah Verfaillie [ctb]
Maintainer: An-Chi Ho <an.ho@bsc.es>

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Package qad updated to version 1.0.2 with previous version 1.0.1 dated 2021-12-02

Title: Quantification of Asymmetric Dependence
Description: A copula-based measure for quantifying asymmetry in dependence and associations. Documentation and theory about 'qad' is provided by the paper by Junker, Griessenberger & Trutschnig (2021, <doi:10.1016/j.csda.2020.107058>), and the paper by Trutschnig (2011, <doi:10.1016/j.jmaa.2011.06.013>).
Author: Florian Griessenberger [aut, cre], Robert R. Junker [aut], Valentin Petzel [aut], Wolfgang Trutschnig [aut]
Maintainer: Florian Griessenberger <florian.griessenberger@sbg.ac.at>

Diff between qad versions 1.0.1 dated 2021-12-02 and 1.0.2 dated 2022-06-23

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Package pkgdown updated to version 2.0.5 with previous version 2.0.4 dated 2022-06-10

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] , RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package tabula updated to version 1.7.0 with previous version 1.6.1 dated 2021-05-25

Title: Analysis and Visualization of Archaeological Count Data
Description: An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). The package make it easy to visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb] , Matthew Peeples [ctb] , Ben Marwick [ctb] , Anne Philippe [ctb] , Jean-Baptiste Fourvel [ctb]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package rules updated to version 1.0.0 with previous version 0.2.0 dated 2022-03-14

Title: Model Wrappers for Rule-Based Models
Description: Bindings for additional models for use with the 'parsnip' package. Models include prediction rule ensembles (Friedman and Popescu, 2008) <doi:10.1214/07-AOAS148>, C5.0 rules (Quinlan, 1992 ISBN: 1558602380), and Cubist (Kuhn and Johnson, 2013) <doi:10.1007/978-1-4614-6849-3>.
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , RStudio [cph, fnd]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

Diff between rules versions 0.2.0 dated 2022-03-14 and 1.0.0 dated 2022-06-23

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Package pharmr updated to version 0.73.1 with previous version 0.33.1 dated 2021-10-15

Title: Interface to the 'Pharmpy' 'Pharmacometrics' Library
Description: Interface to the 'Pharmpy' 'pharmacometrics' library. The 'Reticulate' package is used to interface Python from R.
Author: Rikard Nordgren [aut, cre, cph], Stella Belin [aut, cph], Mats O. Karlsson [sad], Andrew C. Hooker [sad], Sebastian Ueckert [sad] , Simon Carter [rev], Simon Buatois [rev], Joao A. Abrantes [rev], F. Hoffmann-La Roche Ltd. [fnd]
Maintainer: Rikard Nordgren <rikard.nordgren@farmaci.uu.se>

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Package lbfgs updated to version 1.2.1.2 with previous version 1.2.1.1 dated 2022-05-23

Title: Limited-memory BFGS Optimization
Description: A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implements both the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and the Orthant-Wise Quasi-Newton Limited-Memory (OWL-QN) optimization algorithms. The L-BFGS algorithm solves the problem of minimizing an objective, given its gradient, by iteratively computing approximations of the inverse Hessian matrix. The OWL-QN algorithm finds the optimum of an objective plus the L1-norm of the problem's parameters. The package offers a fast and memory-efficient implementation of these optimization routines, which is particularly suited for high-dimensional problems.
Author: Antonio Coppola [aut, cre, cph], Brandon Stewart [aut, cph], Naoaki Okazaki [aut, cph], David Ardia [ctb, cph], Dirk Eddelbuettel [ctb, cph], Katharine Mullen [ctb, cph], Jorge Nocedal [ctb, cph]
Maintainer: Antonio Coppola <acoppola@stanford.edu>

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Package discrim updated to version 1.0.0 with previous version 0.2.0 dated 2022-03-09

Title: Model Wrappers for Discriminant Analysis
Description: Bindings for additional classification models for use with the 'parsnip' package. Models include flavors of discriminant analysis, such as linear (Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman (1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie, Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as well as naive Bayes classifiers (Hand and Yu (2007) <doi:10.1111/j.1751-5823.2001.tb00465.x>).
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , RStudio [cph, fnd]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package AdhereR updated to version 0.8.0 with previous version 0.7.0 dated 2021-09-18

Title: Adherence to Medications
Description: Computation of adherence to medications from Electronic Health care Data and visualization of individual medication histories and adherence patterns. The package implements a set of S3 classes and functions consistent with current adherence guidelines and definitions. It allows the computation of different measures of adherence (as defined in the literature, but also several original ones), their publication-quality plotting, the estimation of event duration and time to initiation, the interactive exploration of patient medication history and the real-time estimation of adherence given various parameter settings. It scales from very small datasets stored in flat CSV files to very large databases and from single-thread processing on mid-range consumer laptops to parallel processing on large heterogeneous computing clusters. It exposes a standardized interface allowing it to be used from other programming languages and platforms, such as Python.
Author: Dan Dediu [aut, cre], Alexandra Dima [aut], Samuel Allemann [aut]
Maintainer: Dan Dediu <ddediu@gmail.com>

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Package forestploter updated to version 0.1.6 with previous version 0.1.5 dated 2022-05-07

Title: Create Flexible Forest Plot
Description: Create forest plot based on the layout of the data. Confidence interval in multiple columns by groups can be done easily. Editing plot, inserting/adding text, applying theme to the plot and much more.
Author: Alimu Dayimu [aut, cre]
Maintainer: Alimu Dayimu <ad938@cam.ac.uk>

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Package scholar updated to version 0.2.3 with previous version 0.2.2 dated 2021-07-13

Title: Analyse Citation Data from Google Scholar
Description: Provides functions to extract citation data from Google Scholar. Convenience functions are also provided for comparing multiple scholars and predicting future h-index values.
Author: Guangchuang Yu [aut, cre] , James Keirstead [aut], Gregory Jefferis [aut] , Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package gorpiper updated to version 1.0.1 with previous version 1.0.0 dated 2022-05-09

Title: GORpipe Tool for R
Description: R library for executing GOR queries using local GORpipe.
Author: Genuity Science [cph], Andri Stefansson [aut, cre], Edvald Gislason [ctb]
Maintainer: Andri Stefansson <andri@genuitysci.com>

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

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Package rpart.utils (with last version 0.5) was removed from CRAN

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2014-05-23 0.5

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2018-01-18 0.4.2
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Package centrifugeR updated to version 0.1.6 with previous version 0.1.5 dated 2020-09-23

Title: Non-Trivial Balance of Centrifuge Rotors
Description: Find the numbers of test tubes that can be balanced in centrifuge rotors and show various ways to load them. Refer to Pham (2020) <doi:10.31224/osf.io/4xs38> for more information on package functionality.
Author: Duy Nghia Pham [aut, cre]
Maintainer: Duy Nghia Pham <nghiapham@yandex.com>

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Package VaRES updated to version 1.0.1 with previous version 1.0 dated 2013-08-27

Title: Computes Value at Risk and Expected Shortfall for over 100 Parametric Distributions
Description: Computes Value at risk and expected shortfall, two most popular measures of financial risk, for over one hundred parametric distributions, including all commonly known distributions. Also computed are the corresponding probability density function and cumulative distribution function.
Author: Saralees Nadarajah, Stephen Chan and Emmanuel Afuecheta
Maintainer: Saralees Nadarajah <Saralees.Nadarajah@manchester.ac.uk>

Diff between VaRES versions 1.0 dated 2013-08-27 and 1.0.1 dated 2022-06-23

 DESCRIPTION |   11 +++++------
 MD5         |    4 ++--
 NAMESPACE   |    7 +++++++
 3 files changed, 14 insertions(+), 8 deletions(-)

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New package saeTrafo with initial version 1.0.0
Package: saeTrafo
Title: Transformations for Unit-Level Small Area Models
Version: 1.0.0
Author: Nora Wuerz [aut]
Maintainer: Nora Wuerz <nora.wuerz@fu-berlin.de>
Description: The aim of this package is to offer new methodology for unit-level small area models under transformations and limited population auxiliary information. In addition to this new methodology, the widely used nested error regression model without transformations (see "An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data" by Battese, Harter and Fuller (1988) <doi:10.1080/01621459.1988.10478561>) and its well-known uncertainty estimate (see "The estimation of the mean squared error of small-area estimators" by Prasad and Rao (1990) <doi:10.1080/01621459.1995.10476570>) are provided. In this package, the log transformation and the data-driven log-shift transformation are provided. If a transformation is selected, an appropriate method is chosen depending on the respective input of the population data: Individual population data (see "Empirical best prediction under a nested error model with log transformation" by Molina and Martín (2018) <doi:10.1214/17-aos1608>) but also aggregated population data (see "Estimating regional income indicators under transformations and access to limited population auxiliary information" by Würz, Schmid and Tzavidis <unpublished>) can be entered. Especially under limited data access, new methodologies are provided in 'saeTrafo'. Several options are available to assess the used model and to judge, present and export its results. For a detailed description of the package and the methods used see the corresponding vignette.
License: GPL-2
URL: https://github.com/NoraWuerz/saeTrafo
LazyData: true
Encoding: UTF-8
Imports: nlme, emdi, stats, sfsmisc, parallelMap, MuMIn, ggplot2, moments, openxlsx, reshape2, HLMdiag, gridExtra, stringr, readODS
Suggests: simFrame, sp, maptools, rgeos, graphics, R.rsp
Depends: R (>= 3.5.0)
VignetteBuilder: R.rsp
NeedsCompilation: no
Copyright: inst/COPYRIGHTS
Packaged: 2022-06-22 14:49:53 UTC; nora9
Repository: CRAN
Date/Publication: 2022-06-23 07:10:02 UTC

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Package RockFab updated to version 1.2.1 with previous version 1.2 dated 2014-01-14

Title: Rock Fabric and Strain Analysis Tools
Description: Provides functions to complete three-dimensional rock fabric and strain analyses following the Rf Phi, Fry, and normalized Fry methods. Also allows for plotting of results and interactive 3D visualization functionality.
Author: Jeffrey R. Webber
Maintainer: Jeffrey R. Webber <jwebber@geo.umass.edu>

Diff between RockFab versions 1.2 dated 2014-01-14 and 1.2.1 dated 2022-06-23

 RockFab-1.2.1/RockFab/DESCRIPTION        |    8 ++++----
 RockFab-1.2.1/RockFab/MD5                |    5 ++---
 RockFab-1.2.1/RockFab/NAMESPACE          |    6 ++++++
 RockFab-1.2/RockFab/R/RockFab-internal.R |only
 4 files changed, 12 insertions(+), 7 deletions(-)

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New package Rgff with initial version 0.1.0
Package: Rgff
Title: R Utilities for Gff Files
Version: 0.1.0
Author: Juan Antonio Garcia-Martin [cre, aut] , Juan Carlos Oliveros [aut, ctb] , Rafael Torres-Perez [aut, ctb]
Maintainer: Juan Antonio Garcia-Martin <ja.garcia@cnb.csic.es>
Description: R utilities for gff files, either general feature format (GFF3) or gene transfer format (GTF) formatted files. This package includes functions for producing summary stats, check for consistency and sorting errors, conversion from GTF to GFF3 format, file sorting, visualization and plotting of feature hierarchy, and exporting user defined feature subsets to SAF format. This tool was developed by the BioinfoGP core facility at CNB-CSIC.
License: GPL (>= 3)
Encoding: UTF-8
Imports: rlang (>= 0.4.12), stringi (>= 1.7.6), data.tree (>= 1.0.0), tidyr (>= 1.1.4), tibble (>= 3.1.6), dplyr (>= 1.0.7), RJSONIO (>= 1.3-1.6), magrittr (>= 2.0.1)
Suggests: DiagrammeR (>= 1.0.6.1), DiagrammeRsvg (>= 0.1), rsvg (>= 2.2.0), rmarkdown (>= 2.11), knitr (>= 1.36), GenomicRanges (>= 1.46.1), rtracklayer (>= 1.54.0), S4Vectors (>= 0.32.3)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-22 16:19:59 UTC; tono
Repository: CRAN
Date/Publication: 2022-06-23 07:20:05 UTC

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New package ravedash with initial version 0.1.1
Package: ravedash
Title: Dashboard System for Reproducible Visualization of 'iEEG'
Version: 0.1.1
Description: Dashboard system to display the analysis results produced by 'RAVE' (Magnotti J.F., Wang Z., Beauchamp M.S. (2020), R analysis and visualizations of 'iEEG' <doi:10.1016/j.neuroimage.2020.117341>). Provides infrastructure to integrate customized analysis pipelines into dashboard modules, including file structures, front-end widgets, and event handlers.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: dipsaus (>= 0.2.0), logger (>= 0.2.2), raveio (>= 0.0.5.9000), rpymat (>= 0.1.2), shidashi (>= 0.1.0.9000), shiny (>= 1.7.1), shinyWidgets (>= 0.6.2), threeBrain (>= 0.2.4), shinyvalidate
Suggests: fastmap (>= 1.1.0), rlang (>= 1.0.2), crayon (>= 1.4.2), rstudioapi, knitr, rmarkdown
URL: https://dipterix.org/ravedash/
BugReports: https://github.com/dipterix/ravedash/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-22 17:59:57 UTC; dipterix
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-23 07:30:02 UTC

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Package PDSCE updated to version 1.2.1 with previous version 1.2 dated 2013-06-13

Title: Positive Definite Sparse Covariance Estimators
Description: Compute and tune some positive definite and sparse covariance estimators.
Author: Adam J. Rothman
Maintainer: Adam J. Rothman <arothman@umn.edu>

Diff between PDSCE versions 1.2 dated 2013-06-13 and 1.2.1 dated 2022-06-23

 DESCRIPTION |   12 ++++++------
 MD5         |    4 ++--
 NAMESPACE   |    2 ++
 3 files changed, 10 insertions(+), 8 deletions(-)

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New package papaja with initial version 0.1.0
Package: papaja
Title: Prepare American Psychological Association Journal Articles with R Markdown
Version: 0.1.0
Description: Tools to create dynamic, submission-ready manuscripts, which conform to American Psychological Association manuscript guidelines. We provide R Markdown document formats for manuscripts (PDF and Word) and revision letters (PDF). Helper functions facilitate reporting statistical analyses or create publication-ready tables and plots.
Date: 2022-06-22
URL: https://github.com/crsh/papaja
BugReports: https://github.com/crsh/papaja/issues
Depends: R (>= 3.6), tinylabels (>= 0.1.0)
Imports: bookdown (>= 0.9.1), broom (>= 0.7.0), glue (>= 1.4.0), knitr (>= 1.26), methods, rmarkdown (>= 2.4), rmdfiltr (>= 0.1.3), utils, yaml, zip
Suggests: afex, BayesFactor, beeswarm, boot, car, dplyr, effectsize (>= 0.4.4), emmeans, ggforce, ggplot2, latex2exp, lme4, lmerTest, MBESS, multcomp, nlme, R.rsp, skimr, spelling, testthat
SystemRequirements: Rendering the document template requires pandoc (>= 2.0; https://pandoc.org) and for PDFs a TeX distribution, such as TinyTeX (>= 0.12; https://yihui.org/tinytex/)
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr, R.rsp
Language: en-US
NeedsCompilation: no
Packaged: 2022-06-22 11:14:05 UTC; frederikaust
Author: Frederik Aust [aut, cre] , Marius Barth [aut] , Birk Diedenhofen [ctb], Christoph Stahl [ctb], Joseph V. Casillas [ctb], Rudolf Siegel [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>
Repository: CRAN
Date/Publication: 2022-06-23 07:10:05 UTC

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Package ORIClust updated to version 1.0-2 with previous version 1.0-1 dated 2009-11-09

Title: Order-Restricted Information Criterion-Based Clustering Algorithm
Description: A user-friendly R-based software package for gene clustering. Clusters are given by genes matched to prespecified profiles across various ordered treatment groups. It is particularly useful for analyzing data obtained from short time-course or dose-response microarray experiments.
Author: Tianqing Liu, Nan Lin, Ningzhong Shi and Baoxue Zhang
Maintainer: Tianqing Liu <tianqingliu@gmail.com>

Diff between ORIClust versions 1.0-1 dated 2009-11-09 and 1.0-2 dated 2022-06-23

 DESCRIPTION     |   12 +++++++-----
 MD5             |only
 NAMESPACE       |only
 data/Breast.rda |binary
 4 files changed, 7 insertions(+), 5 deletions(-)

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Package Nozzle.R1 updated to version 1.1-1.1 with previous version 1.1-1 dated 2013-05-15

Title: Nozzle Reports
Description: The Nozzle package provides an API to generate HTML reports with dynamic user interface elements based on JavaScript and CSS (Cascading Style Sheets). Nozzle was designed to facilitate summarization and rapid browsing of complex results in data analysis pipelines where multiple analyses are performed frequently on big data sets. The package can be applied to any project where user-friendly reports need to be created.
Author: Nils Gehlenborg <nils@hms.harvard.edu>
Maintainer: Nils Gehlenborg <nils@hms.harvard.edu>

Diff between Nozzle.R1 versions 1.1-1 dated 2013-05-15 and 1.1-1.1 dated 2022-06-23

 DESCRIPTION |    6 +++---
 MD5         |    4 ++--
 NAMESPACE   |    2 ++
 3 files changed, 7 insertions(+), 5 deletions(-)

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Package NMFN updated to version 2.0.1 with previous version 2.0 dated 2011-01-05

Title: Non-Negative Matrix Factorization
Description: Non-negative Matrix Factorization.
Author: Suhai Liu
Maintainer: Suhai (Timothy) Liu <tim.liu@alumni.duke.edu>

Diff between NMFN versions 2.0 dated 2011-01-05 and 2.0.1 dated 2022-06-23

 DESCRIPTION         |   11 ++++++-----
 MD5                 |only
 NAMESPACE           |only
 man/NMFN-package.Rd |    5 ++++-
 4 files changed, 10 insertions(+), 6 deletions(-)

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New package globaltrends with initial version 0.0.12
Package: globaltrends
Title: Download and Measure Global Trends Through Google Search Volumes
Version: 0.0.12
URL: https://github.com/ha-pu/globaltrends/
BugReports: https://github.com/ha-pu/globaltrends/issues/
Description: Google offers public access to global search volumes from its search engine through the Google Trends portal. The package downloads these search volumes provided by Google Trends and uses them to measure and analyze the distribution of search scores across countries or within countries. The package allows researchers and analysts to use these search scores to investigate global trends based on patterns within these scores. This offers insights such as degree of internationalization of firms and organizations or dissemination of political, social, or technological trends across the globe or within single countries. An outline of the package's methodological foundations and potential applications is available as a working paper: <https://www.ssrn.com/abstract=3969013>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: DBI (>= 1.1.0), dbplyr (>= 1.4.4), dplyr (>= 1.0.2), forcats (>= 0.5.0), forecast (>= 8.12), ggplot2 (>= 3.3.2), glue (>= 1.4.2), gtrendsR (>= 1.5.1), ineq (>= 0.2.13), maps (>= 3.4.0), lubridate (>= 1.7.9), purrr (>= 0.3.4), rlang (>= 0.4.7), RSQLite (>= 2.2.0), stats (>= 4.0.2), stringr (>= 1.4.0), tibble (>= 3.0.3), tidyr (>= 1.0.0), utils (>= 4.0.2), WDI (>= 2.7.1), zoo (>= 1.8.8)
Suggests: covr, knitr (>= 1.29), rmarkdown (>= 2.3), testthat (>= 2.3.2)
VignetteBuilder: knitr
Depends: R (>= 2.15.1)
NeedsCompilation: no
Packaged: 2022-06-22 13:54:11 UTC; c4361369
Author: Harald Puhr [aut, cre], Jakob Muellner [ccp]
Maintainer: Harald Puhr <harald.puhr@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-23 07:10:11 UTC

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Package genodds updated to version 1.1.2 with previous version 1.1.0 dated 2021-11-20

Title: Generalised Odds Ratios
Description: Calculates Agresti's generalized odds ratios. For a randomly selected pair of observations from two groups, calculates the odds that the second group will have a higher scoring outcome than that of the first group. Package provides hypothesis testing for if this odds ratio is significantly different to 1 (equal chance).
Author: Hannah Johns [aut, cre]
Maintainer: Hannah Johns <htjohns@gmail.com>

Diff between genodds versions 1.1.0 dated 2021-11-20 and 1.1.2 dated 2022-06-23

 DESCRIPTION                   |   16 -
 MD5                           |   24 +-
 NAMESPACE                     |   14 -
 NEWS.md                       |    7 
 R/data.R                      |   44 +--
 R/genodds.R                   |  172 ++++++++++++---
 R/genodds.power.R             |  478 +++++++++++++++++++++---------------------
 README.md                     |   83 +++----
 man/alteplase.Rd              |   64 ++---
 man/genodds.Rd                |  295 ++++++++++++++-----------
 man/genodds.power.Rd          |  156 ++++++-------
 tests/testthat.R              |    8 
 tests/testthat/test-genodds.R |  378 ++++++++++++++++-----------------
 13 files changed, 948 insertions(+), 791 deletions(-)

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New package GDSARM with initial version 0.1.0
Package: GDSARM
Title: Gauss - Dantzig Selector: Aggregation over Random Models
Version: 0.1.0
Description: The method aims to identify important factors in screening experiments by aggregation over random models as studied in Singh and Stufken (2022) <doi:10.48550/arXiv.2205.13497>. This package provides functions to run Gauss-Dantzig selector on screening experiments when interactions may be affecting the response. Currently, all functions require each factor to be at two-levels coded as +1 and -1.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: lpSolve
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
URL: https://github.com/agrakhi/GDSARM
BugReports: https://github.com/agrakhi/GDSARM/issues
Author: Rakhi Singh [cre, aut] , John Stufken [aut]
Maintainer: Rakhi Singh <agrakhi@gmail.com>
Packaged: 2022-06-22 20:13:56 UTC; R_SINGH5
Repository: CRAN
Date/Publication: 2022-06-23 07:30:05 UTC

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New package bonsai with initial version 0.1.0
Package: bonsai
Title: Model Wrappers for Tree-Based Models
Version: 0.1.0
Description: Bindings for additional tree-based model engines for use with the 'parsnip' package. Models include gradient boosted decision trees with 'LightGBM' (Ke et al, 2017.) and conditional inference trees and conditional random forests with 'partykit' (Hothorn and Zeileis, 2015. and Hothorn et al, 2006. <doi:10.1198/106186006X133933>).
License: MIT + file LICENSE
URL: https://bonsai.tidymodels.org/, https://github.com/tidymodels/bonsai
BugReports: https://github.com/tidymodels/bonsai/issues
Depends: parsnip (>= 1.0.0)
Imports: dials, dplyr, foreach, glue, purrr, rlang, stats, tibble, utils
Suggests: covr, knitr, lightgbm, modeldata, partykit, rmarkdown, rsample, testthat (>= 3.0.0), tune
VignetteBuilder: knitr
Config/Needs/website: tidyverse/tidytemplate
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-22 17:44:41 UTC; simoncouch
Author: Daniel Falbel [aut], Athos Damiani [aut], Roel M. Hogervorst [aut] , Max Kuhn [aut] , Simon Couch [aut, cre] , RStudio [cph, fnd]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-23 07:20:02 UTC

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New package covid19brazil with initial version 0.1.0
Package: covid19brazil
Title: COVID-19 Dataset for Brazil
Version: 0.1.0
Maintainer: Alexandre Loures <alexandre.loures@protonmail.com>
Description: Dataset with strategic information about COVID-19 in Brazil. Data for municipalities, states, region and Brazil. Data source: Sistema Unico de Saude - SUS.
License: MIT + file LICENSE
Encoding: UTF-8
Language: English
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: devtools, dplyr
Suggests: remotes (>= 2.1.1), rmarkdown (>= 2.1), testthat (>= 2.1.0)
URL: https://github.com/alexandreloures/covid19Brazil
BugReports: https://github.com/alexandreloures/covid19brazil/issues
NeedsCompilation: no
Repository: CRAN
Packaged: 2022-06-21 23:24:13 UTC; alexa
Author: Alexandre Loures [aut, cre]
Date/Publication: 2022-06-23 07:00:02 UTC

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New package wdnet with initial version 0.0.3
Package: wdnet
Title: Weighted and Directed Networks
Version: 0.0.3
Date: 2022-06-22
Description: Implementations of network analysis including (1) assortativity coefficient of weighted and directed networks, Yuan, Yan and Zhang (2021) <doi:10.1093/comnet/cnab017>, (2) centrality measures for weighted and directed networks, Opsahl, Agneessens and Skvoretz (2010) <doi:10.1016/j.socnet.2010.03.006>, Zhang, Wang and Yan (2022) <doi:10.1016/j.physa.2021.126438>, (3) clustering coefficient of weighted and directed networks, Fagiolo (2007) <doi:10.1103/PhysRevE.76.026107> and Clemente and Grassi (2018) <doi:10.1016/j.chaos.2017.12.007>, (4) network rewiring, (5) preferential attachment network generation.
Depends: R (>= 4.2.0)
License: GPL (>= 3.0)
Encoding: UTF-8
Imports: stats, igraph, wdm, Rcpp, rARPACK, Matrix, CVXR
LinkingTo: Rcpp, RcppArmadillo
BugReports: https://gitlab.com/wdnetwork/wdnet/-/issues
URL: https://gitlab.com/wdnetwork/wdnet
NeedsCompilation: yes
Packaged: 2022-06-22 04:43:58 UTC; Yelie
Author: Yelie Yuan [aut, cre], Tiandong Wang [aut], Jun Yan [aut], Panpan Zhang [aut]
Maintainer: Yelie Yuan <yelie.yuan@uconn.edu>
Repository: CRAN
Date/Publication: 2022-06-23 06:00:02 UTC

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New package mvnimpute with initial version 1.0.0
Package: mvnimpute
Title: Simultaneously Impute the Missing and Censored Values
Version: 1.0.0
Depends: R (>= 3.4.0)
Author: Hesen Li
Maintainer: Hesen Li <li.hesen.21@gmail.com>
URL: https://github.com/hli226/mvnimpute
BugReports: https://github.com/hli226/mvnimpute/issues
Description: Implementing a multiple imputation algorithm for multivariate data with missing and censored values under a coarsening at random assumption (Heitjan and Rubin, 1991<doi:10.1214/aos/1176348396>). The multiple imputation algorithm is based on the data augmentation algorithm proposed by Tanner and Wong (1987)<doi:10.1080/01621459.1987.10478458>. The Gibbs sampling algorithm is adopted to to update the model parameters and draw imputations of the coarse data.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Imports: ggplot2, reshape2, LaplacesDemon, rlang, Rcpp, MASS, truncnorm
Suggests: knitr, rmarkdown, mice, clusterGeneration
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-22 00:00:29 UTC; hesenli
Repository: CRAN
Date/Publication: 2022-06-23 05:50:02 UTC

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Package dash updated to version 0.9.4 with previous version 0.9.3 dated 2021-11-07

Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Author: Chris Parmer [aut], Ryan Patrick Kyle [aut] , Carson Sievert [aut] , Hammad Khan [aut, cre] , Plotly Technologies [cph]
Maintainer: Hammad Khan <hammadkhan@plotly.com>

Diff between dash versions 0.9.3 dated 2021-11-07 and 0.9.4 dated 2022-06-23

 DESCRIPTION                      |    6 
 MD5                              |   10 -
 R/dash.R                         |    2 
 man/dash-package.Rd              |    1 
 tests/manual/package_namespace.R |only
 tests/testthat/test-attributes.R |  257 +++++++++++++++++++++++++++++++++++++++
 tests/testthat/test-routes.R     |only
 7 files changed, 267 insertions(+), 9 deletions(-)

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New package demodelr with initial version 1.0.0
Package: demodelr
Title: Simulating Differential Equations with Data
Version: 1.0.0
Depends: R (>= 4.1.0)
Description: Designed to support the visualization, numerical computation, qualitative analysis, model-data fusion, and stochastic simulation for autonomous systems of differential equations. Euler and Runge-Kutta methods are implemented, along with tools to visualize the two-dimensional phaseplane. Likelihood surfaces and a simple Markov Chain Monte Carlo parameter estimator can be used for model-data fusion of differential equations and empirical models. The Euler-Maruyama method is provided for simulation of stochastic differential equations. The package was originally written for internal use to support teaching by Zobitz, and refined to support the text "Exploring modeling with data and differential equations using R" by John Zobitz (2021) <https://jmzobitz.github.io/ModelingWithR/index.html>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, purrr, tidyr, dplyr, formula.tools, GGally, rlang, utils, tibble
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-06-22 00:34:56 UTC; zobitz
Author: John Zobitz [aut, cre]
Maintainer: John Zobitz <zobitz@augsburg.edu>
Repository: CRAN
Date/Publication: 2022-06-23 06:00:06 UTC

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Package BranchGLM updated to version 1.1.2 with previous version 1.1.1 dated 2022-06-13

Title: Efficient Branch and Bound Variable Selection for GLMs using 'RcppArmadillo'
Description: Performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm. To speed up the model fitting process, a range of optimization methods are implemented in 'RcppArmadillo'. Parallel computation is available using 'OpenMP'.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>

Diff between BranchGLM versions 1.1.1 dated 2022-06-13 and 1.1.2 dated 2022-06-23

 DESCRIPTION                      |    8 +-
 MD5                              |   14 ++--
 R/BranchGLM.R                    |   32 +++++------
 R/VariableSelection.R            |   10 +++
 inst/doc/BranchGLM-Vignette.html |  110 +++++++++++++++++++--------------------
 src/BranchGLMHelpers.cpp         |   99 +++++++++++++++--------------------
 src/CrossProducts.cpp            |only
 src/CrossProducts.h              |only
 src/ParBranchGLMHelpers.cpp      |   25 ++------
 9 files changed, 142 insertions(+), 156 deletions(-)

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