CRANberries

Sat, 01 Apr 2023

New package openalexR with initial version 1.0.2.9
Package: openalexR
Title: Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API
Version: 1.0.2.9
Description: A set of tools to extract bibliographic content from 'OpenAlex' database using API <https://docs.openalex.org>.
License: MIT + file LICENSE
URL: https://github.com/ropensci/openalexR, https://docs.ropensci.org/openalexR/
BugReports: https://github.com/ropensci/openalexR/issues
Imports: curl, httr, jsonlite, progress, tibble
Suggests: testthat (>= 3.0.0), dplyr, knitr, rmarkdown, tidyr, purrr, ggplot2, covr
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-04-01 06:37:44 UTC; massimoaria
Author: Massimo Aria [aut, cre, cph] , Corrado Cuccurullo [ctb] , Trang Le [aut] , June Choe [ctb]
Maintainer: Massimo Aria <aria@unina.it>
Repository: CRAN
Date/Publication: 2023-04-01 07:00:02 UTC

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Fri, 31 Mar 2023

New package tidyquant with initial version 1.0.7
Package: tidyquant
Title: Tidy Quantitative Financial Analysis
Version: 1.0.7
Maintainer: Matt Dancho <mdancho@business-science.io>
Description: Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
URL: https://github.com/business-science/tidyquant
BugReports: https://github.com/business-science/tidyquant/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), lubridate, PerformanceAnalytics, quantmod (>= 0.4-13)
Imports: dplyr (>= 1.0.0), ggplot2, jsonlite, httr, curl, lazyeval, magrittr, purrr, Quandl, riingo, readr, readxl, alphavantager (>= 0.1.2), stringr, tibble, tidyr (>= 1.0.0), timetk (>= 2.4.0), timeDate, TTR, xts, rlang, tidyverse, tidyselect
Suggests: tibbletime, forcats, broom, knitr, rmarkdown, testthat (>= 2.1.0), scales, Rblpapi, covr, janitor
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-31 15:56:53 UTC; mdanc
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Repository: CRAN
Date/Publication: 2023-03-31 20:40:02 UTC

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New package NetOrigin with initial version 1.1-5
Package: NetOrigin
Title: Origin Estimation for Propagation Processes on Complex Networks
Description: Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.
Version: 1.1-5
Depends: R (>= 3.2.2)
Imports: igraph, Hmisc, colorspace, mvtnorm, corpcor, plyr, dplyr, tibble
License: GPL-3
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-31 17:45:21 UTC; M254773
Author: Juliane Manitz [aut, cre], Jonas Harbering [ctb], Jun Li [ctb]
Maintainer: Juliane Manitz <r@manitz.org>
Repository: CRAN
URL: https://netorigin.manitz.org/
BugReports: https://github.com/jmanitz/NetOrigin/issues
Date/Publication: 2023-03-31 20:40:07 UTC

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New package ForestGapR with initial version 0.1.7
Package: ForestGapR
Title: Tropical Forest Canopy Gaps Analysis
Version: 0.1.7
Description: Set of tools for detecting and analyzing Airborne Laser Scanning-derived Tropical Forest Canopy Gaps. Details were published in Silva and others (2019) <doi:10.1111/2041-210X.13211>.
License: GPL-3
Depends: R (>= 3.4.0)
Imports: graphics, igraph, poweRlaw, raster, sp, spatstat.explore, spatstat.geom, stats, VGAM, viridis
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-31 15:52:45 UTC; jeffa
Author: Carlos Alberto Silva [aut, cph, cre], Ekena Rangel Pinage [aut] , Midhun Mohan [aut] , Danilo Roberti Alves de Almeida [aut] , Eben North Broadbent [aut] , Wan Shafrina Wan Mohd Jaafar [aut] , Daniel de Almeida Papa [aut] , Adrian Cardil [aut] , Rube [...truncated...]
Maintainer: Carlos Alberto Silva <carlos_engflorestal@outlook.com>
Repository: CRAN
Date/Publication: 2023-03-31 20:50:18 UTC

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New package rTLsDeep with initial version 0.0.5
Package: rTLsDeep
Title: Post-Hurricane Damage Severity Classification from TLS and AI
Version: 0.0.5
Description: Terrestrial laser scanning (TLS) data processing and post-hurricane damage severity classification at the individual tree level using deep Learning. Further details were published in Klauberg et al. (2023) <doi:10.3390/rs15041165>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: caret, ggplot2, grDevices, lidR, keras, matrixStats, reticulate, rgl, sf, tensorflow
Suggests: terra, viridis
URL: https://github.com/carlos-alberto-silva/rTLsDeep
BugReports: https://github.com/carlos-alberto-silva/rTLsDeep/issues
NeedsCompilation: no
Packaged: 2023-03-30 00:28:32 UTC; caioh
Author: Carine Klauberg [aut], Ricardo Dalagnol [aut, cph], Matheus Ferreira [aut, ctb], Jason Vogel [aut, ctb], Caio Hamamura [aut, ctb, cre], Carlos Alberto Silva [aut, cph]
Maintainer: Caio Hamamura <caiohamamura@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-31 15:20:02 UTC

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New package datacutr with initial version 0.1.0
Package: datacutr
Title: SDTM Datacut
Version: 0.1.0
Description: Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.
License: Apache License (>= 2)
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5)
Imports: admiraldev, assertthat (>= 0.2.1), dplyr (>= 1.0.5), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), stringr, rlang (>= 0.4.4), tibble
Suggests: devtools, lintr, pkgdown, testthat, knitr, methods, rmarkdown, roxygen2, spelling, styler, usethis, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-27 12:09:29 UTC; barnett1
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut]
Maintainer: Tim Barnett <timothy.barnett@roche.com>
Repository: CRAN
Date/Publication: 2023-03-31 15:10:02 UTC

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New package askgpt with initial version 0.0.2
Package: askgpt
Title: Asking GPT About R Stuff
Version: 0.0.2
Description: A chat package connecting to API endpoints by 'OpenAI' (<https://platform.openai.com/>) to answer questions (about R).
Depends: R (>= 4.1.0)
Imports: cli, callr, dplyr, glue, methods, rlang, httr2, rappdirs, jsonlite
Suggests: covr, knitr, miniUI, rmarkdown, rstudioapi, shiny, spelling, testthat (>= 3.0.0), withr
URL: https://github.com/JBGruber/askgpt
BugReports: https://github.com/JBGruber/askgpt/issues
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2023-03-31 13:56:15 UTC; johannes
Author: Johannes Gruber [aut, cre]
Maintainer: Johannes Gruber <johannesb.gruber@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-31 15:40:02 UTC

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New package AquaBEHER with initial version 0.1.0
Package: AquaBEHER
Title: Estimation of Rainy Season Calendar and Soil Water Balance for Agriculture
Version: 0.1.0
Description: Computes and integrates daily reference 'evapotranspiration' ('Eto') into a water balance model, to estimate the calendar of wet-season (Onset, Cessation and Duration) based on 'agroclimatic' approach, for further information please refer to Allen 'et al.' (1998, ISBN:92-5-104219-5), Allen (2005, ISBN:9780784408056), 'Doorenbos' and Pruitt (1975, ISBN:9251002797) 'Guo et al.' (2016) <doi:10.1016/j.envsoft.2015.12.019>, Hargreaves and 'Samani' (1985) <doi:10.13031/2013.26773>, Priestley and Taylor (1972) <https://journals.ametsoc.org/downloadpdf/journals/mwre/100/2/1520-0493_1972_100_0081_otaosh_2_3_co_2.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, prettydoc,
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, lubridate, raster, sp
URL: https://github.com/RobelTakele/AquaBEHER, https://robeltakele.github.io/AquaBEHER/
BugReports: https://github.com/RobelTakele/AquaBEHER/issues
NeedsCompilation: no
Packaged: 2023-03-29 21:34:31 UTC; robel
Author: Robel Takele [aut, cre] , Matteo Dell'Acqua [aut, ctb]
Maintainer: Robel Takele <takelerobel@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-31 15:20:05 UTC

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New package alphavantager with initial version 0.1.3
Package: alphavantager
Title: Lightweight Interface to the Alpha Vantage API
Version: 0.1.3
Description: Alpha Vantage has free historical financial information. All you need to do is get a free API key at <https://www.alphavantage.co>. Then you can use the R interface to retrieve free equity information. Refer to the Alpha Vantage website for more information.
URL: https://github.com/business-science/alphavantager
BugReports: https://github.com/business-science/alphavantager/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.3.0)
Imports: dplyr (>= 0.7.0), glue (>= 1.1.1), httr (>= 1.2.1), jsonlite (>= 1.5), purrr (>= 0.2.2.2), readr (>= 1.1.1), stringr (>= 1.2.0), tibble (>= 1.3.3), tidyr (>= 0.6.3), timetk (>= 0.1.1.1)
Suggests: testthat, knitr
NeedsCompilation: no
Packaged: 2023-03-31 13:07:19 UTC; mdanc
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2023-03-31 14:20:02 UTC

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New package modeltime with initial version 1.2.6
Package: modeltime
Title: The Tidymodels Extension for Time Series Modeling
Version: 1.2.6
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
URL: https://github.com/business-science/modeltime, https://business-science.github.io/modeltime/
BugReports: https://github.com/business-science/modeltime/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: StanHeaders, timetk (>= 2.8.1), parsnip (>= 0.2.1), dials, yardstick (>= 0.0.8), workflows (>= 1.0.0), hardhat (>= 1.0.0), rlang (>= 0.1.2), glue, plotly, reactable, gt, ggplot2, tibble, tidyr, dplyr, purrr, stringr, forcats, scales, janitor, parallel, parallelly, doParallel, foreach, magrittr, forecast, xgboost (>= 1.2.0.1), prophet, methods, cli, tidyverse, tidymodels
Suggests: rstan, slider, sparklyr, workflowsets, recipes, rsample, tune (>= 0.2.0), lubridate, progress, testthat, roxygen2, kernlab, glmnet, thief, smooth, greybox, earth, randomForest, trelliscopejs, knitr, rmarkdown (>= 2.9), webshot, qpdf, covr, TSrepr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-30 17:03:25 UTC; mdanc
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2023-03-31 12:10:02 UTC

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New package causalCmprsk with initial version 1.1.0
Package: causalCmprsk
Title: Nonparametric and Cox-Based Estimation of Average Treatment Effects in Competing Risks
Version: 1.1.0
Description: Estimation of average treatment effects (ATE) of point interventions on time-to-event outcomes with K competing risks (K can be 1). The method uses propensity scores and inverse probability weighting for emulation of baseline randomization, which is described in Charpignon et al. (2022) <doi:10.1038/s41467-022-35157-w>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: survival, inline, doParallel, parallel, utils, foreach, data.table, purrr, methods
Suggests: knitr, rmarkdown, bookdown, tidyverse, ggalt, cobalt, ggsci, modEvA, naniar, DT, Hmisc, hrbrthemes, summarytools
VignetteBuilder: knitr
URL: https://github.com/Bella2001/causalCmprsk
BugReports: https://github.com/Bella2001/causalCmprsk/issues
NeedsCompilation: no
Packaged: 2023-03-28 18:42:14 UTC; user
Author: Bella Vakulenko-Lagun [aut, cre], Colin Magdamo [aut], Marie-Laure Charpignon [aut], Bang Zheng [aut], Mark Albers [aut], Sudeshna Das [aut]
Maintainer: Bella Vakulenko-Lagun <blagun@stat.haifa.ac.il>
Repository: CRAN
Date/Publication: 2023-03-31 12:00:02 UTC

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New package waspasR with initial version 0.1.1
Package: waspasR
Title: Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution
Version: 0.1.1
Maintainer: Flavio Barbara <flavio.barbara@gmail.com>
Description: Provides a set of functions to implement decision-making systems based on the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment), Chakraborty and Zavadskas (2012) <doi:10.5755/j01.eee.122.6.1810>. So this package offers functions that analyze and validate the raw data, which must be entered in a determined format; extract specific vectors and matrices from this raw database; normalize the input data; calculate rankings by intermediate methods; apply the lambda parameter for the main method; and a function that does everything at once. The package has an example database called choppers, with which the user can see how the input data should be organized so that everything works as recommended by the decision methods based on multiple criteria that this package solves. Basically, the data are composed of a set of alternatives, which will be ranked, a set of choice criteria, a matrix of values for each Alternative-Criterion relationship, a vector of weights associated [...truncated...]
License: GPL (>= 2)
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-30 19:46:38 UTC; flavio
Author: Flavio Barbara [cre, aut], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2023-03-31 08:20:02 UTC

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New package optband with initial version 0.2.2
Package: optband
Title: 'surv' Object Confidence Bands Optimized by Area
Version: 0.2.2
Date: 2023-03-29
Description: Given a certain coverage level, obtains simultaneous confidence bands for the survival and cumulative hazard functions such that the area between is minimized. Produces an approximate solution based on local time arguments.
Depends: R (>= 3.1.0)
Imports: utils, LambertW
License: GPL-2 | GPL-3
URL: https://github.com/seasamgo/optband
BugReports: https://github.com/seasamgo/optband/issues
Encoding: UTF-8
Suggests: stats, survival, km.ci, knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-03-30 16:29:32 UTC; tracys2
Author: Sam Tracy [aut, cre], Tom Chen [aut]
Maintainer: Sam Tracy <seasamgo@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-31 08:20:04 UTC

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New package Mmcsd with initial version 1.0.0
Package: Mmcsd
Title: Modeling Complex Longitudinal Data in a Quick and Easy Way
Version: 1.0.0
Description: Matching longitudinal methodology models with complex sampling design. It fits fixed and random effects models and covariance structured models so far. It also provides tools to perform statistical tests considering these specifications as described in : Pacheco, P. H. (2021). "Modeling complex longitudinal data in R: development of a statistical package." <https://repositorio.ufjf.br/jspui/bitstream/ufjf/13437/1/pedrohenriquedemesquitapacheco.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, knitr, magrittr, methods, purrr, rlist, stats, tibble, tidyr
Depends: R (>= 2.10)
Suggests: rmarkdown, simstudy, kableExtra, tidyverse
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-30 16:33:00 UTC; GUSTAVO PC
Author: Pedro Pacheco [aut, cre] , Marcel Vieira [aut] , Gustavo Silva [aut]
Maintainer: Pedro Pacheco <gustavoaeida2002@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-31 08:10:02 UTC

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New package ecolRxC with initial version 0.1.1-10
Package: ecolRxC
Title: Ecological Inference of RxC Tables by Latent Structure Approaches
Version: 0.1.1-10
Description: Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data building on Thomsen (1987) and Park (2008) approaches. References: Park, W.-H. (2008). ''Ecological Inference and Aggregate Analysis of Election''. PhD Dissertation. University of Michigan. <https://deepblue.lib.umich.edu/bitstream/handle/2027.42/58525/wpark_1.pdf> Thomsen, S.R. (1987, ISBN:87-7335-037-2). ''Danish Elections 1920 79: a Logit Approach to Ecological Analysis and Inference''. Politica, Aarhus, Denmark.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats
Suggests: ggplot2, scales
NeedsCompilation: no
Packaged: 2023-03-28 14:56:09 UTC; Jose M Pavia
Author: Jose M. Pavia [aut, cre] , Soeren Risbjerg Thomsen [aut]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2023-03-31 07:50:02 UTC

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Thu, 30 Mar 2023

New package timetk with initial version 2.8.3
Package: timetk
Title: A Tool Kit for Working with Time Series
Version: 2.8.3
Description: Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
URL: https://github.com/business-science/timetk, https://business-science.github.io/timetk/
BugReports: https://github.com/business-science/timetk/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: recipes (>= 1.0.4), rsample, dplyr (>= 1.0.0), ggplot2, forcats, stringr, plotly, lubridate (>= 1.6.0), padr (>= 0.5.2), purrr (>= 0.2.2), readr (>= 1.3.0), stringi (>= 1.4.6), tibble (>= 3.0.3), tidyr (>= 1.1.0), xts (>= 0.9-7), zoo (>= 1.7-14), rlang (>= 0.4.11), tidyselect (>= 1.1.0), slider, anytime, timeDate, forecast, tsfeatures, hms, assertthat, generics
Suggests: tidymodels, workflows, parsnip, tune, yardstick, knitr, rmarkdown, broom, scales, testthat, fracdiff, timeSeries, tseries, trelliscopejs, roxygen2, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-30 12:45:34 UTC; mdanc
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2023-03-30 14:20:05 UTC

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New package rmangal with initial version 2.1.3
Package: rmangal
Title: 'Mangal' Client
Version: 2.1.3
Description: An interface to the 'Mangal' database - a collection of ecological networks. This package includes functions to work with the 'Mangal RESTful API' methods (<https://mangal-interactions.github.io/mangal-api/>).
URL: https://docs.ropensci.org/rmangal/, https://mangal.io, https://github.com/ropensci/rmangal
BugReports: https://github.com/ropensci/rmangal/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr (>= 1.3.1), igraph (>= 1.2.1), jsonlite (>= 1.5), memoise, methods
Suggests: ggraph (>= 2.0.0), knitr, magrittr, mapview, rmarkdown, sf, spelling, tidygraph, testthat, tibble, vcr
VignetteBuilder: knitr
X-schema.org-applicationCategory: ecologicalNetworks
NeedsCompilation: no
Packaged: 2023-03-30 01:10:59 UTC; kc
Author: Steve Vissault [aut, ctb] , Kevin Cazelles [aut, cre] , Gabriel Bergeron [aut, ctb], Benjamin Mercier [aut, ctb], Clement Violet [aut, ctb], Dominique Gravel [aut], Timothee Poisot [aut], Thomas Lin Pedersen [rev] , Anna Willoughby [rev]
Maintainer: Kevin Cazelles <kevin.cazelles@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-30 14:10:02 UTC

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New package dynamAedes with initial version 2.1.2
Package: dynamAedes
Version: 2.1.2
Date: 2023-03-23
Title: A Unified Mechanistic Model for the Population Dynamics of Invasive Aedes Mosquitoes
Depends: R (>= 4.0.0)
Imports: doParallel, dplyr, drc, fields, foreach, geosphere, raster, slam, sp
BugReports: https://github.com/mattmar/dynamAedes
Description: Generalised model for population dynamics of invasive Aedes mosquitoes. Rationale and model structure are described here: Da Re et al. (2021) <doi:10.1016/j.ecoinf.2020.101180> and Da Re et al. (2022) <doi:10.1101/2021.12.21.473628>.
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
License: GPL (>= 2)
Suggests: terra, parallel, rmarkdown, knitr, eesim, ggplot2, gstat, spatstat, rgdal
URL: https://mattmar.github.io/dynamAedes/
NeedsCompilation: no
Packaged: 2023-03-30 09:20:18 UTC; matteo
Author: Matteo Marcantonio [aut, cre], Daniele Da Re [aut]
Maintainer: Matteo Marcantonio <marcantoniomatteo@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-30 14:10:05 UTC

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New package vctsfr with initial version 0.1.0
Package: vctsfr
Title: Visualizing Collections of Time Series Forecasts
Version: 0.1.0
Description: A way of visualizing collections of time series and, optionally their future values, forecasts for their future values and prediction intervals for the forecasts. A web-based GUI can be used to display the information in a collection of time series.
Maintainer: Francisco Martinez <fmartin@ujaen.es>
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: forecast, knitr, Mcomp, rmarkdown, testthat (>= 3.0.0)
Imports: ggplot2, methods, shiny
URL: https://github.com/franciscomartinezdelrio/vctsfr
BugReports: https://github.com/franciscomartinezdelrio/vctsfr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-30 08:45:50 UTC; UJA
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-03-30 09:20:02 UTC

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New package lenght with initial version 0.1.0
Package: lenght
Title: Allow Misspellings of Length Function
Version: 0.1.0
Description: Convenient aliases for common ways of misspelling the base R function length(). These include every permutation of the final three letters.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-30 08:09:41 UTC; jacobbradley
Author: Jacob Bradley [aut, cre, cph] , Isabella Deutsch [aut, cph]
Maintainer: Jacob Bradley <cobrbradley@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-30 09:20:09 UTC

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New package SenSpe with initial version 1.1
Package: SenSpe
Version: 1.1
Date: 2023-03-28
Title: Estimating Specificity at Controlled Sensitivity, or Vice Versa
Author: Yijian Huang <yhuang5@emory.edu>
Maintainer: Yijian Huang <yhuang5@emory.edu>
Depends: R (>= 2.8.0)
Description: Perform biomarker evaluation and comparison in terms of specificity at a controlled sensitivity level, or sensitivity at a controlled specificity level. Point estimation and exact bootstrap of Huang, Parakati, Patil, and Sanda (2023) <doi:10.5705/ss.202021.0020> for the one- and two-sample problems are implemented.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-03-29 20:51:22 UTC; eugene
Repository: CRAN
Date/Publication: 2023-03-30 07:30:02 UTC

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New package rrandvec with initial version 1.0.0
Package: rrandvec
Title: Generate Random Vectors Whose Components Sum Up to One
Description: A single method implementing multiple approaches to generate pseudo-random vectors whose components sum up to one (see, e.g., Maziero (2015) <doi:10.1007/s13538-015-0337-8>). The components of such vectors can for example be used for weighting objectives when reducing multi-objective optimisation problems to a single-objective problem in the socalled weighted sum scalarisation approach.
Version: 1.0.0
Depends: R (>= 3.1.0)
Imports: Rcpp, checkmate
Suggests: covr, testthat, scatterplot3d
License: BSD_2_clause + file LICENSE
URL: https://jakobbossek.github.io/rrandvec/, https://github.com/jakobbossek/rrandvec
BugReports: https://github.com/jakobbossek/rrandvec/issues
Encoding: UTF-8
ByteCompile: true
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-03-29 15:42:20 UTC; bossek
Author: Jakob Bossek [aut, cre, cph]
Maintainer: Jakob Bossek <j.bossek@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-30 07:10:02 UTC

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Wed, 29 Mar 2023

New package mmconvert with initial version 0.8
Package: mmconvert
Version: 0.8
Date: 2023-03-29
Title: Mouse Map Converter
Description: Convert mouse genome positions between the build 39 physical map and the genetic map of Cox et al. (2009) <doi:10.1534/genetics.109.105486>.
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.12)
Suggests: testthat, devtools, roxygen2, qtl2
License: GPL-3
URL: https://github.com/rqtl/mmconvert
BugReports: https://github.com/rqtl/mmconvert/issues
LinkingTo: Rcpp
LazyData: true
Encoding: UTF-8
ByteCompile: true
NeedsCompilation: yes
Packaged: 2023-03-29 10:34:27 UTC; kbroman
Repository: CRAN
Date/Publication: 2023-03-29 15:30:03 UTC

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New package bayclumpr with initial version 0.1.0
Package: bayclumpr
Title: Bayesian Analysis of Clumped Isotope Datasets
Version: 0.1.0
URL: https://bayclump.tripatilab.epss.ucla.edu/, https://tripati-lab.github.io/bayclumpr/
BugReports: https://github.com/Tripati-Lab/bayclumpr/issues
Description: Simulating synthetic clumped isotope dataset, fitting linear regression models under Bayesian and non-Bayesian frameworks, and generating temperature reconstructions for the same two approaches. Please note that models implemented in this package are described in Roman-Palacios et al. (2021) <doi:10.1002/essoar.10507995.1>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: parallel, loo, deming, IsoplotR, rstan, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-13 19:45:47 UTC; cristianroman
Author: Cristian Roman Palacios [aut, cre] , Hannah M. Carroll [aut] , Aradhna Tripati [aut]
Maintainer: Cristian Roman Palacios <cromanpa94@arizona.edu>
Repository: CRAN
Date/Publication: 2023-03-29 15:30:06 UTC

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New package RCTrep with initial version 1.0.0
Package: RCTrep
Title: Validation of Estimates of Treatment Effects in Observational Data
Version: 1.0.0
Author: Lingjie Shen [aut, cre, cph], Gijs Geleijnse [aut], Maurits Kaptein [aut]
Maintainer: Lingjie Shen <602249910@qq.com>
Description: Validates estimates of (conditional) average treatment effects obtained using observational data by a) making it easy to obtain and visualize estimates derived using a large variety of methods (G-computation, inverse propensity score weighting, etc.), and b) ensuring that estimates are easily compared to a gold standard (i.e., estimates derived from randomized controlled trials). 'RCTrep' offers a generic protocol for treatment effect validation based on four simple steps, namely, set-selection, estimation, diagnosis, and validation. 'RCTrep' provides a simple dashboard to review the obtained results. The validation approach is introduced by Shen, L., Geleijnse, G. and Kaptein, M. (2023) <doi:10.21203/rs.3.rs-2559287/v1>.
License: MIT + file LICENSE
URL: https://github.com/duolajiang/RCTrep
Encoding: UTF-8
LazyData: true
Imports: mvtnorm, MASS, MatchIt, ggplot2, ggpubr, PSweight, numDeriv, R6, dplyr, geex, optmatch, BART, fastDummies, tidyr, copula, shiny, shinydashboard, glue, stats, utils, caret
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10), base
NeedsCompilation: no
Packaged: 2023-03-29 02:47:01 UTC; lsh1901.47873
Repository: CRAN
Date/Publication: 2023-03-29 08:10:02 UTC

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New package SIAmodules with initial version 0.1.0
Package: SIAmodules
Title: Modules for 'ShinyItemAnalysis'
Version: 0.1.0
Date: 2023-03-27
Description: Package including additional modules for interactive 'ShinyItemAnalysis' application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
License: GPL-3
URL: http://www.ShinyItemAnalysis.org
Depends: R (>= 3.5.0)
Imports: cli, difNLR, dplyr, DT, forcats, ggplot2, glue, lme4, magrittr, mirt, mirtCAT, plotly, purrr, rlang, scales, shiny, ShinyItemAnalysis, shinyjs, stringr, tibble, tidyr, yaml
Encoding: UTF-8
Config/ShinyItemAnalysis/module: true
NeedsCompilation: no
Packaged: 2023-03-28 20:42:04 UTC; Martinkova
Author: Patricia Martinkova [aut, cre] , Jan Netik [aut]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>
Repository: CRAN
Date/Publication: 2023-03-29 08:00:05 UTC

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New package PRANA with initial version 1.0.3
Package: PRANA
Title: Pseudo-Value Regression Approach for Network Analysis (PRANA)
Version: 1.0.3
Description: A novel pseudo-value regression approach for the differential co-expression network analysis in expression data, which can incorporate additional clinical variables in the model. This is a direct regression modeling for the differential network analysis, and it is therefore computationally amenable for the most users.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dnapath, dplyr, parallel, robustbase, stats, minet
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-28 21:23:41 UTC; seungjunahn
Author: Ahn Seungjun [cre, aut, trl] , Datta Somnath [ctb, ths]
Maintainer: Ahn Seungjun <sahn1@ufl.edu>
Repository: CRAN
Date/Publication: 2023-03-29 08:00:09 UTC

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New package panelPomp with initial version 1.1
Package: panelPomp
Title: Inference for Panel Partially Observed Markov Processes
Version: 1.1
Date: 2023-03-28
Description: Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.
License: GPL-3
Depends: R(>= 4.1.0), pomp(>= 4.5.2)
Imports: methods
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-28 17:43:13 UTC; cbreto
Author: Carles Breto [aut, cre] , Edward L. Ionides [aut] , Aaron A. King [aut]
Maintainer: Carles Breto <carles.breto@uv.es>
Repository: CRAN
Date/Publication: 2023-03-29 08:00:02 UTC

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Tue, 28 Mar 2023

New package SparseFunClust with initial version 1.0.0
Package: SparseFunClust
Title: Sparse Functional Clustering
Version: 1.0.0
Description: Provides a general framework for performing sparse functional clustering as originally described in Floriello and Vitelli (2017) <doi:10.1016/j.jmva.2016.10.008>, with the possibility of jointly handling data misalignment (see Vitelli, 2019, <doi:10.48550/arXiv.1912.00687>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: cluster
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-28 12:29:15 UTC; waldir
Author: Valeria Vitelli [aut], Waldir Leoncio [cre]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>
Repository: CRAN
Date/Publication: 2023-03-28 19:30:02 UTC

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New package fastAFT with initial version 1.2
Package: fastAFT
Version: 1.2
Date: 2023-03-27
Title: Fast Regression for the Accelerated Failure Time (AFT) Model
Author: Yijian Huang <yhuang5@emory.edu>
Maintainer: Yijian Huang <yhuang5@emory.edu>
Depends: R (>= 2.8.0)
Description: Fast censored linear regression for the accelerated failure time (AFT) model of Huang (2013) <doi:10.1111/sjos.12031>.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-03-28 13:13:23 UTC; eugene
Repository: CRAN
Date/Publication: 2023-03-28 19:40:02 UTC

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New package OneTwoSamples with initial version 1.1-0
Package: OneTwoSamples
Title: Deal with One and Two (Normal) Samples
Version: 1.1-0
Date: 2023-03-21
Author: Frederic Bertrand [cre] , Ying-Ying Zhang [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Depends: R (>= 3.3), methods
Description: We introduce an R function one_two_sample() which can deal with one and two (normal) samples, Ying-Ying Zhang, Yi Wei (2012) <doi:10.2991/asshm-13.2013.29>. For one normal sample x, the function reports descriptive statistics, plot, interval estimation and test of hypothesis of x. For two normal samples x and y, the function reports descriptive statistics, plot, interval estimation and test of hypothesis of x and y, respectively. It also reports interval estimation and test of hypothesis of mu1-mu2 (the difference of the means of x and y) and sigma1^2 / sigma2^2 (the ratio of the variances of x and y), tests whether x and y are from the same population, finds the correlation coefficient of x and y if x and y have the same length.
License: GPL (>= 2)
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-28 12:16:13 UTC; fbertran
Repository: CRAN
Date/Publication: 2023-03-28 16:30:02 UTC

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New package tinysnapshot with initial version 0.0.1
Package: tinysnapshot
Title: Snapshots for Unit Tests using the 'tinytest' Framework
Version: 0.0.1
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Description: Snapshots for unit tests using the 'tinytest' framework for R. Includes expectations to test base R and 'ggplot2' plots as well as console output from print().
License: GPL (>= 3)
Imports: diffobj, magick (>= 2.7.4), tinytest (>= 1.4.1)
Suggests: ggplot2, ragg, rsvg, svglite
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-28 00:44:13 UTC; vincent
Author: Vincent Arel-Bundock [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-03-28 12:00:02 UTC

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New package RcausalEGM with initial version 0.3.3
Package: RcausalEGM
Title: A General Causal Inference Framework by Encoding Generative Modeling
Version: 0.3.3
Date: 2023-03-22
Maintainer: Qiao Liu <liuqiao@stanford.edu>
Description: CausalEGM is a general causal inference framework for estimating causal effects by encoding generative modeling, which can be applied in both discrete and continuous treatment settings. A description of the methods is given in Liu (2022) <arXiv:2212.05925>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: reticulate
URL: https://github.com/SUwonglab/CausalEGM
BugReports: https://github.com/SUwonglab/CausalEGM/issues
Repository: CRAN
Depends: R(>= 3.6.0)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-28 01:42:24 UTC; kimmo
Author: Qiao Liu [aut, cre], Wing Wong [aut], Balasubramanian Narasimhan [ctb]
Date/Publication: 2023-03-28 12:00:11 UTC

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New package precondition with initial version 0.1.0
Package: precondition
Title: Lightweight Precondition, Postcondition, and Sanity Checks
Version: 0.1.0
Description: Implements fast, safe, and customizable assertions routines, which can be used in place of base::stopifnot().
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rlang (>= 1.0.6)
Suggests: cli, spelling, testthat (>= 3.1.7), withr
Language: en-US
NeedsCompilation: yes
Packaged: 2023-03-27 12:47:07 UTC; tzakharko
Author: Taras Zakharko [aut, cre]
Maintainer: Taras Zakharko <taras.zakharko@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-28 12:00:05 UTC

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New package makeit with initial version 1.0.0
Package: makeit
Version: 1.0.0
Date: 2023-03-28
Title: Run R Scripts if Needed
Description: A simple make-like utility to run R scripts if needed, based on last modified time. Implemented in base R with no additional software requirements, organizational overhead, or structural requirements. In short: run an R script if underlying files have changed, otherwise do nothing.
License: GPL-3
URL: https://github.com/arni-magnusson/makeit
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-27 23:18:58 UTC; arnim
Author: Arni Magnusson [aut, cre]
Maintainer: Arni Magnusson <thisisarni@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-28 12:00:08 UTC

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New package rfieldclimate with initial version 0.1.1
Package: rfieldclimate
Title: Client for the 'FieldClimate' API
Version: 0.1.1
Maintainer: Eduard Szoecs <eduard.szoecs@basf.com>
Description: Provides functionality to interact with the 'FieldClimate' API <https://api.fieldclimate.com/v2/docs/>.
License: GPL-3
Imports: digest, dplyr, httr, jsonlite, lubridate, magrittr, purrr, tidyr
Suggests: covr, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-27 21:56:28 UTC; root
Author: Eduard Szoecs [aut, cre], BASF SE [cph]
Repository: CRAN
Date/Publication: 2023-03-28 10:30:02 UTC

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New package EventStudy with initial version 0.39.2
Package: EventStudy
Title: Event Study Analysis
Description: Perform Event Studies from through our <https://EventStudyTools.com> Application Programming Interface, parse the results, visualize it, and / or use the results in further analysis.
Author: Dr. Simon Mueller
Date: 2023-03-28
Version: 0.39.2
Encoding: UTF-8
URL: https:://data-zoo.de
Maintainer: Dr. Simon Mueller <sm@data-zoo.de>
License: MIT + file LICENSE
Depends: ggplot2
Imports: httr, curl, jsonlite, magrittr (>= 1.5), data.table, testthat, dplyr, tidyr, rlang, scales, RColorBrewer, stringr, purrr, readr, shiny, miniUI, rstudioapi
Suggests: knitr, rmarkdown
BugReports: https://github.com/EventStudyTools/api-wrapper.r/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-28 08:56:04 UTC; simonm
Repository: CRAN
Date/Publication: 2023-03-28 10:20:03 UTC

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New package eiCompare with initial version 3.0.1
Package: eiCompare
Title: Compares Different Ecological Inference Methods
Version: 3.0.1
URL: https://github.com/RPVote/eiCompare
Description: Provides a comprehensive suite of tools for estimating the candidate preferences of racial/ethnic voting blocs in elections. Includes functions for geocoding, predicting voter race/ethnicity, and conducting ecological inference. Race/ethnicity prediction builds on race prediction developed by Imai et al. (2016) <doi:10.1093/pan/mpw001>. Ecological inference methods are based on King (1997) <ISBN: 0691012407>, <https://gking.harvard.edu/eicamera/kinroot.html>; King et. al. (2004) <ISBN: 0521542804>, <https://gking.harvard.edu/files/abs/ecinf04-abs.shtml>.
License: GPL-3
Depends: R (>= 3.5.0), eiPack, ei, wru (>= 1.0.0)
Imports: censusxy, bayestestR, coda, data.table, doParallel, doSNOW, dplyr, foreach, ggplot2, graphics, magrittr, mcmcse, methods, overlapping, purrr, rlang, sf, stringr, tidyr, leaflet, tidyselect
NeedsCompilation: no
Suggests: knitr, opencage, plyr, rmarkdown, reshape2, RColorBrewer, RJSONIO, testthat, tigris
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2023-03-27 23:57:16 UTC; aridecter-frain
Author: Loren Collingwood [aut] , Ari Decter-Frain [aut, cre] , Hikari Murayama [aut] , Pratik Sachdeva [aut] , Juandalyn Burke [aut] , Scott Henderson [ctb] , Spencer Wood [ctb] , Matt Barreto [ctb]
Maintainer: Ari Decter-Frain <adecterfrain@gmail.com>
LazyData: true
Repository: CRAN
Date/Publication: 2023-03-28 10:30:05 UTC

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Mon, 27 Mar 2023

New package IDEATools with initial version 3.4.1
Package: IDEATools
Title: Individual and Group Farm Sustainability Assessments using the IDEA4 Method
Version: 3.4.1
Description: Collection of tools to automate the processing of data collected though the IDEA4 method (see Zahm et al. (2018) <doi:10.1051/cagri/2019004> ). Starting from the original data collecting files this packages provides functions to compute IDEA indicators, draw modern and aesthetic plots, and produce a wide range of reporting materials.
Encoding: UTF-8
URL: https://davidcarayon.github.io/IDEATools/index.html, https://github.com/davidcarayon/IDEATools
BugReports: https://github.com/davidcarayon/IDEATools/issues
Imports: data.table, jsonlite, readxl, tibble, stringi, ggimage, pdftools, ggpubr, ggplot2, rlang, ggtext, rmarkdown, shiny, openxlsx
License: GPL-3
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
Suggests: covr, knitr
NeedsCompilation: no
Packaged: 2023-03-27 13:15:12 UTC; davidcarayon
Author: David Carayon [aut, cre, cph]
Maintainer: David Carayon <david.carayon@inrae.fr>
Repository: CRAN
Date/Publication: 2023-03-27 19:10:02 UTC

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New package xtranat with initial version 0.1.0
Package: xtranat
Title: Network Metrics Based on Random Walks
Version: 0.1.0
Description: There are two new network metrics, RWC (random walk centrality) and CBET (counting betweenness). Also available are the normalized versions of those metrics. These measures of centrality and betweenness are particularly useful for the analysis of very dense weighted networks which include loops. Traditional measures do not work as well for those network characteristics. The main reference is DePaolis at al (2022) <doi:10.1007/s41109-022-00519-2>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, igraph, kableExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://github.com/fdepaolis/xtranat
BugReports: https://github.com/fdepaolis/xtranat/issues
NeedsCompilation: no
Packaged: 2023-03-23 14:57:30 UTC; fernandodepaolis
Author: Fernando DePaolis [aut, cre]
Maintainer: Fernando DePaolis <fdepaolis@middlebury.edu>
Repository: CRAN
Date/Publication: 2023-03-27 12:30:02 UTC

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New package textab with initial version 1.0
Package: textab
Title: Create Highly-Customized 'LaTeX' Tables
Version: 1.0
Description: Generate 'LaTeX' tables directly from R. It builds 'LaTeX' tables in blocks in the spirit of 'ggplot2' using the + and - operators for concatenation in the vertical and horizontal dimensions, respectively. It exports tables in the 'LaTeX' tabular environment using '.tex' code. It can compile '.tex' code to 'PDF' automatically.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://setzler.github.io/textab/
BugReports: https://github.com/setzler/textab/issues
NeedsCompilation: no
Packaged: 2023-03-26 23:16:21 UTC; bradleysetzler
Author: Thibaut Lamadon [aut, cph], Bradley Setzler [aut, cre, cph]
Maintainer: Bradley Setzler <bradley.setzler@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-27 12:30:05 UTC

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New package SherlockHolmes with initial version 1.0
Package: SherlockHolmes
Version: 1.0
Date: 2023-03-19
Title: Building a Concordance of Terms in a Series of Texts
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
LazyData: true
Imports: qpdf, stringr, dpseg, tableHTML, plotrix, zoo, stargazer, utils, graphics, grDevices, stats, textBoxPlacement, plot.matrix, devtools
Description: Compute the frequency distribution of a search term in a series of texts. For example, Arthur Conan Doyle wrote a total of 60 Sherlock Holmes stories, comprised of 54 short stories and 4 longer novels. I wanted to test my own subjective impression that, in many of the stories, Sherlock Holmes' popularity was used as bait to induce the reader to read a story that is essentially not primarily a Sherlock Holmes story. I used the term "Holmes" as a search pattern, since Watson would frequently address him by name, or use his name to describe something that he was doing. My hypothesis is that the frequency distribution of the search pattern "Holmes" is a good proxy for the degree to which a story is or is not truly a Sherlock Holmes story. The results are presented in a manuscript that is available as a vignette and online at <https://github.com/barryzee/Concordance>.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-26 13:00:54 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2023-03-27 12:20:03 UTC

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New package IncidencePrevalence with initial version 0.2.0
Package: IncidencePrevalence
Title: Estimate Incidence and Prevalence using the OMOP Common Data Model
Version: 0.2.0
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: CDMConnector (>= 0.5.0), checkmate (>= 2.0.0), cli (>= 3.0.0), DBI (>= 1.0.0), dbplyr (>= 2.0.0), dplyr (>= 1.1.0), glue (>= 1.5.0), lubridate (>= 1.0.0), magrittr (>= 2.0.0), purrr (>= 0.3.5), rlang (>= 1.0.0), stringr (>= 1.5.0), tidyr (>= 1.2.0), tidyselect (>= 1.2.0), zip (>= 2.2.0)
Suggests: knitr, rmarkdown, RPostgres, tibble, ggplot2, scales, duckdb, odbc, here, Hmisc, epitools, tictoc, testthat (>= 0.3.1), spelling
VignetteBuilder: knitr
Language: en-US
License: Apache License (>= 2)
URL: https://darwin-eu.github.io/IncidencePrevalence/
NeedsCompilation: no
Packaged: 2023-03-26 20:08:29 UTC; eburn
Author: Edward Burn [aut, cre] , Berta Raventos [aut] , Marti Catala [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Ger Inberg [ctb] , Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>
Repository: CRAN
Date/Publication: 2023-03-27 12:20:06 UTC

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New package cequre with initial version 1.3
Package: cequre
Version: 1.3
Date: 2023-03-24
Title: Censored Quantile Regression & Monotonicity-Respecting Restoring
Author: Yijian Huang <yhuang5@emory.edu>
Maintainer: Yijian Huang <yhuang5@emory.edu>
Depends: R (>= 2.8.0)
Description: Perform censored quantile regression of Huang (2010) <doi:10.1214/09-AOS771>, and restore monotonicity respecting via adaptive interpolation for dynamic regression of Huang (2017) <doi:10.1080/01621459.2016.1149070>. The monotonicity-respecting restoration applies to general dynamic regression models including (uncensored or censored) quantile regression model, additive hazards model, and dynamic survival models of Peng and Huang (2007) <doi:10.1093/biomet/asm058>, among others.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-03-26 20:25:00 UTC; eugene
Repository: CRAN
Date/Publication: 2023-03-27 12:30:08 UTC

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New package AcademicThemes with initial version 0.0.1
Package: AcademicThemes
Title: Colour Plots with Palettes from Academic Institutions
Version: 0.0.1
Description: Functionality to allow users to easily colour plots with the colour palettes of various academic institutions.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/hwarden162/AcademicThemes
BugReports: https://github.com/hwarden162/AcademicThemes/issues
Suggests: covr, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyverse
Imports: ggplot2, grDevices
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-27 09:05:44 UTC; hwarden
Author: Hugh Warden [aut, cre]
Maintainer: Hugh Warden <hugh.warden@outlook.com>
Repository: CRAN
Date/Publication: 2023-03-27 12:40:02 UTC

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New package cenROC with initial version 2.0.0
Package: cenROC
Title: Estimating Time-Dependent ROC Curve and AUC for Censored Data
Version: 2.0.0
Description: Contains functions to estimate a smoothed and a non-smoothed (empirical) time-dependent receiver operating characteristic curve and the corresponding area under the receiver operating characteristic curve and the optimal cutoff point for the right and interval censored survival data. See Beyene and El Ghouch (2020)<doi:10.1002/sim.8671> and Beyene and El Ghouch (2022) <doi:10.1002/bimj.202000382>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), icenReg, condSURV, survival, stats, graphics, methods
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2023-03-27 03:57:11 UTC; m2kas
Author: Kassu Mehari Beyene [aut, cre], Anouar El Ghouch [aut, ths]
Maintainer: Kassu Mehari Beyene <kassu.mehari@wu.edu.et>
Repository: CRAN
Date/Publication: 2023-03-27 08:10:05 UTC

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New package mutualinf with initial version 1.1.3
Package: mutualinf
Title: Computation and Decomposition of the Mutual Information Index
Version: 1.1.3
Description: The Mutual Information Index (M) introduced to social science literature by Theil and Finizza (1971) <doi:10.1080/0022250X.1971.9989795> is a multigroup segregation measure that is highly decomposable and that according to Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008> and Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> satisfies the Strong Unit Decomposability and Strong Group Decomposability properties. This package allows computing and decomposing the total index value into its "between" and "within" terms. These last terms can also be decomposed into their contributions, either by group or unit characteristics. The factors that produce each "within" term can also be displayed at the user's request. The results can be computed considering a variable or sets of variables that define separate clusters.
License: GPL-3
Imports: data.table, parallel, runner, stats
Encoding: UTF-8
LazyData: true
URL: https://github.com/RafaelFuentealbaC/mutualinf
BugReports: https://github.com/RafaelFuentealbaC/mutualinf/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-03-27 00:26:55 UTC; rafae
Author: Rafael Fuentealba-Chaura [aut, cre], Ricardo Mora [aut], Julio Rojas-Mora [aut], FONDECYT/ANID Project 11170583 [fnd], MCIN/AEI/10.13039/501100011033 [fnd], UCT VIP Project FEQUIP2019-INRN-03 [fnd]
Maintainer: Rafael Fuentealba-Chaura <rafael.fuentealba97@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-27 08:00:06 UTC

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New package gratis with initial version 1.0.3
Package: gratis
Title: Generating Time Series with Diverse and Controllable Characteristics
Version: 1.0.3
Description: Generates synthetic time series based on various univariate time series models including MAR and ARIMA processes. Kang, Y., Hyndman, R.J., Li, F.(2020) <doi:10.1002/sam.11461>.
LazyLoad: yes
Repository: CRAN
URL: https://github.com/ykang/gratis
BugReports: https://github.com/ykang/gratis/issues/
Depends: R (>= 3.5.0)
Imports: doRNG, dplyr, foreach, forecast (>= 8.16), GA, generics, magrittr, methods, mvtnorm, polynom, purrr, stats, tibble, tsfeatures, tsibble, utils, shiny
Suggests: feasts, fGarch, knitr, rmarkdown, rlang, shinydashboard
NeedsCompilation: no
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2023-03-27 02:49:40 UTC; fli
Author: Yanfei Kang [aut] , Feng Li [aut, cre] , Rob Hyndman [aut] , Mitchell O'Hara-Wild [ctb] , Bocong Zhao [ctb]
Maintainer: Feng Li <feng.li@cufe.edu.cn>
Date/Publication: 2023-03-27 07:50:02 UTC

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Sun, 26 Mar 2023

New package poismf with initial version 0.4.0-4
Package: poismf
Title: Factorization of Sparse Counts Matrices Through Poisson Likelihood
Version: 0.4.0-4
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
URL: https://github.com/david-cortes/poismf
BugReports: https://github.com/david-cortes/poismf/issues
Description: Creates a non-negative low-rank approximate factorization of a sparse counts matrix by maximizing Poisson likelihood with L1/L2 regularization (e.g. for implicit-feedback recommender systems or bag-of-words-based topic modeling) (Cortes, (2018) <arXiv:1811.01908>), which usually leads to very sparse user and item factors (over 90% zero-valued). Similar to hierarchical Poisson factorization (HPF), but follows an optimization-based approach with regularization instead of a hierarchical prior, and is fit through gradient-based methods instead of variational inference.
License: BSD_2_clause + file LICENSE
Imports: Matrix (>= 1.3), methods
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2023-03-26 14:41:07 UTC; david
Author: David Cortes [aut, cre, cph], Jean-Sebastien Roy [cph] , Stephen Nash [cph]
Repository: CRAN
Date/Publication: 2023-03-26 21:30:02 UTC

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New package DepCens with initial version 0.2.3
Package: DepCens
Title: Dependent Censoring Regression Models
Version: 0.2.3
Description: Dependent censoring regression models for survival multivariate data. These models are based on extensions of the frailty models, capable to accommodating the dependence between failure and censoring times, with Weibull and piecewise exponential marginal distributions. Theoretical details regarding the models implemented in the package can be found in Schneider et al. (2019) <doi:10.1002/bimj.201800391>.
License: GPL (>= 2)
URL: https://github.com/GabrielGrandemagne/DepCens, https://gabrielgrandemagne.github.io/DepCens/
BugReports: https://github.com/GabrielGrandemagne/DepCens/issues
Depends: R (>= 2.10)
Imports: dlm, Formula, rootSolve, survival, matrixStats, stats
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-26 16:52:17 UTC; Gabriel-PC
Author: Silvana Schneider [aut, cre] , Gabriel Grandemagne dos Santos [aut]
Maintainer: Silvana Schneider <silvana.schneider@ufrgs.br>
Repository: CRAN
Date/Publication: 2023-03-26 21:40:02 UTC

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New package spINAR with initial version 0.1.0
Package: spINAR
Title: (Semi)Parametric Estimation and Bootstrapping of INAR Models
Version: 0.1.0
Date: 2023-03-22
Maintainer: Maxime Faymonville <faymonville@statistik.tu-dortmund.de>
Description: Semiparametric and parametric estimation of INAR models including a finite sample refinement (Faymonville et al. (2022) <doi:10.1007/s10260-022-00655-0>) for the semiparametric setting introduced in Drost et al. (2009) <doi:10.1111/j.1467-9868.2008.00687.x>, different procedures to bootstrap INAR data (Jentsch, C. and Weiß, C.H. (2017) <doi:10.3150/18-BEJ1057>) and flexible simulation of INAR data.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: checkmate (>= 1.8.5), progress, stats
URL: https://github.com/MFaymon/spINAR
BugReports: https://github.com/MFaymon/spINAR/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-24 15:08:04 UTC; faymonville
Author: Maxime Faymonville [aut, cre] , Javiera Riffo [aut] , Jonas Rieger [aut] , Carsten Jentsch [aut]
Repository: CRAN
Date/Publication: 2023-03-26 19:10:02 UTC

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New package simulMGF with initial version 0.1.0
Package: simulMGF
Title: Simulate SNP Matrix, Phenotype and Genotypic Effects
Version: 0.1.0
Author: Martin Nahuel Garcia [aut, cre]
Maintainer: Martin Nahuel Garcia <garcia.martin@inta.gob.ar>
Description: Simulate genotypes in SNP (single nucleotide polymorphisms) Matrix as random numbers from an uniform distribution, for diploid organisms (coded by 0, 1, 2), Sikorska et al., (2013) <doi:10.1186/1471-2105-14-166>, or half-sib/full-sib SNP matrix from real or simulated parents SNP data, assuming mendelian segregation. Simulate phenotypic traits for real or simulated SNP data, controlled by a specific number of quantitative trait loci and their effects, sampled from a Normal or an Uniform distributions, assuming a pure additive model. This is useful for testing association and genomic prediction models or for educational purposes.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mngar/simulMGF
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-24 18:24:02 UTC; Martin
Repository: CRAN
Date/Publication: 2023-03-26 19:20:02 UTC

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New package PINMA with initial version 1.1-1
Package: PINMA
Title: Improved Methods for Constructing Prediction Intervals for Network Meta-Analysis
Version: 1.1-1
Date: 2023-03-24
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Improved methods to construct prediction intervals for network meta-analysis. The parametric bootstrap and Kenward-Roger-type adjustment by Noma et al. (2022) <forthcoming> are implementable.
Depends: R (>= 3.5.0)
Imports: stats, MASS, metafor
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-24 17:51:00 UTC; Hisashi
Author: Hisashi Noma [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-26 19:20:07 UTC

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New package oldbailey with initial version 1.0.0
Package: oldbailey
Title: For Accessing the Old Bailey Open Data
Version: 1.0.0
Maintainer: Steph Buongiorno <steph.buon@gmail.com>
Depends: R (>= 3.4.4)
Imports: dplyr, httr, jsonlite, stringr, tidyr, rvest
URL: https://github.com/rOpenGov/oldbailey
BugReports: https://github.com/rOpenGov/oldbailey/issues
Description: Fetch trial data from the Old Bailey Online API <https://www.oldbaileyonline.org/static/DocAPI.jsp>. Data is returned in an analysis-ready data frame with fields for metadata including (but not limited to) the names of the first person speakers, defendants, victims, their recorded genders, verdicts, punishments, crime locations, and dates. Optional parameters allow users to specify the number of results, whether these results contain key terms, and trial dates.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-24 19:58:31 UTC; stephbuon
Author: Steph Buongiorno [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-26 19:30:02 UTC

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New package irtawsi with initial version 0.3.4
Package: irtawsi
Title: Items Response Theory Analysis with Steps and Interpretation
Version: 0.3.4
Maintainer: Hari Purnomo Susanto <haripurnomosusanto@gmail.com>
Description: Analysis of Dichotomous and polytomous data using unidimensional Item Response Theory model (Chalmers (2012) <doi:10.18637/jss.v048.i06>) with user friendly Graphical User Interface. Suitable for beginners who are learning Item Response Theory.
Imports: DT, mirt, psych, readxl,shiny,shinyWidgets,shinycssloaders,rmarkdown,bs4Dash,gt,diagram
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-24 23:39:43 UTC; Hari PS
Author: Hari Purnomo Susanto [aut, cre] , Heri Retnawati [ctb] , Agus Maman Abadi [ctb] , Haryanto Haryanto [ctb] , Raden Muhammad Ali [ctb]
Repository: CRAN
Date/Publication: 2023-03-26 19:40:02 UTC

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Sat, 25 Mar 2023

New package TapeS with initial version 0.12.1
Package: TapeS
Title: Tree Taper Curves and Sorting Based on 'TapeR'
Version: 0.12.1
Description: Providing new german-wide 'TapeR' Models and functions for their evaluation. Included are the most common tree species in Germany (Norway spruce, Scots pine, European larch, Douglas fir, Silver fir as well as European beech, Common/Sessile oak and Red oak). Many other species are mapped to them so that 36 tree species / groups can be processed. Single trees are defined by species code, one or multiple diameters in arbitrary measuring height and tree height. The functions then provide information on diameters along the stem, bark thickness, height of diameters, volume of the total or parts of the trunk and total and component above-ground biomass. It is also possible to calculate assortments from the taper curves. For diameter and volume estimation, uncertainty information is given.
Depends: R (>= 3.5.0)
License: BSD_2_clause + file LICENSE
URL: https://gitlab.com/vochr/tapes
Encoding: UTF-8
LazyData: true
Imports: methods, utils, TapeR (>= 0.5.2), Rcpp (>= 1.0.5),
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, rbenchmark, rBDAT (>= 0.10.0), RODBC
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-24 13:56:02 UTC; Christian.Vonderach
Author: Christian Vonderach [aut, cre], Edgar Kublin [aut], Gerald Kaendler [aut]
Maintainer: Christian Vonderach <christian.vonderach@forst.bwl.de>
Repository: CRAN
Date/Publication: 2023-03-25 13:30:06 UTC

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Fri, 24 Mar 2023

New package Rgof with initial version 1.0.1
Package: Rgof
Title: 1d Goodness of Fit Tests
Version: 1.0.1
Description: Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, parallel, ggplot2, stats
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-24 14:32:15 UTC; Wolfgang
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>
Repository: CRAN
Date/Publication: 2023-03-24 16:50:05 UTC

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New package matrixcut with initial version 0.0.1
Package: matrixcut
Version: 0.0.1
Date: 2023-03-19
Title: Determines Clustering Threshold Based on Similarity Values
Maintainer: Matthew Cserhati <csmatyi@protonmail.com>
Description: The user must supply a matrix filled with similarity values. The software will search for significant differences between similarity values at different hierarchical levels. The algorithm will return a Loess-smoothed plot of the similarity values along with the inflection point, if there are any. There is the option to search for an inflection point within a specified range. The package also has a function that will return the matrix components at a specified cutoff. References: Mullner. <ArXiv:1109.2378>; Cserhati, Carter. (2020, Journal of Creation 34(3):41-50), <https://dl0.creation.com/articles/p137/c13759/j34-3_64-73.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: igraph, stats, inflection
NeedsCompilation: no
Packaged: 2023-03-24 04:49:15 UTC; matth
Author: Matthew Cserhati [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-03-24 16:30:02 UTC

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New package lpjmlkit with initial version 1.0.11
Package: lpjmlkit
Title: Toolkit for Basic LPJmL Handling
Version: 1.0.11
Description: A collection of basic functions to facilitate the work with the Dynamic Global Vegetation Model (DGVM) Lund-Potsdam-Jena managed Land (LPJmL) hosted at the Potsdam Institute for Climate Impact Research (PIK). It provides functions for performing LPJmL simulations, as well as reading, processing and writing model-related data such as inputs and outputs or configuration files.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
URL: https://github.com/PIK-LPJmL/lpjmlkit, https://doi.org/10.5281/zenodo.7752812
BugReports: https://github.com/PIK-LPJmL/lpjmlkit/issues
Imports: magrittr, dplyr, processx, tibble, jsonlite, doParallel, foreach, utils, methods, abind, rlang, withr
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), terra, raster, reshape2, maps
VignetteBuilder: knitr
Date: 2023-03-24
NeedsCompilation: no
Packaged: 2023-03-24 07:37:04 UTC; jannesbr
Author: Jannes Breier [aut, cre] , Sebastian Ostberg [aut] , Stephen Bjoern Wirth [aut] , Sara Minoli [aut] , Fabian Stenzel [aut] , Christoph Mueller [aut]
Maintainer: Jannes Breier <jannesbr@pik-potsdam.de>
Repository: CRAN
Date/Publication: 2023-03-24 16:30:04 UTC

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New package idcnrba with initial version 0.1.0
Package: idcnrba
Title: Interactive Application for Analyzing Representativeness and Nonresponse Bias
Version: 0.1.0
Description: Provides access to the Idea Data Center (IDC) application for conducting nonresponse bias analysis (NRBA). The IDC NRBA app is an interactive, browser-based Shiny application that can be used to analyze survey data with respect to response rates, representativeness, and nonresponse bias. This app provides a user-friendly interface to statistical methods implemented by the 'nrba' package. Krenzke, Van de Kerckhove, and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR> provide an overview of the statistical methods implemented in the application.
License: GPL (>= 3)
Encoding: UTF-8
Imports: nrba, dplyr, rmarkdown, shiny, stats, markdown, flexdashboard, shinyjs, htmlwidgets, DT, tibble, survey (>= 4.1-1), srvyr, haven, readr, openxlsx, base64enc, miniUI (>= 0.1.1), rstudioapi (>= 0.5)
Suggests: knitr, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2023-03-24 13:43:03 UTC; schneider_b
Author: Ben Schneider [aut, cre] , Tamara Nimkoff [aut], Anthony Fucci [aut], Andy Cruse [aut], Alexander Cates [aut], Jim Green [aut], Westat [cph]
Maintainer: Ben Schneider <BenjaminSchneider@westat.com>
Repository: CRAN
Date/Publication: 2023-03-24 16:50:02 UTC

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New package ggpicrust2 with initial version 1.4.8
Package: ggpicrust2
Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Version: 1.4.8
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <arXiv:2303.10388>.
BugReports: https://github.com/cafferychen777/ggpicrust2/pulls
URL: https://github.com/cafferychen777/ggpicrust2
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ALDEx2, aplot, DESeq2, dplyr, edgeR, funrar, GGally, ggplot2, grid, lefser, limma, Maaslin2, metagenomeSeq, MicrobiomeStat, readr, stats, SummarizedExperiment, tibble, tidyr,
Depends: R (>= 3.5.0)
Suggests: covr, testthat (>= 3.0.0), cowplot, Biobase, devtools, KEGGREST, ComplexHeatmap, ggprism, ggforce, patchwork, ggplotify, BiocGenerics, BiocManager, magrittr, utils
NeedsCompilation: no
Packaged: 2023-03-24 11:41:58 UTC; apple
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-24 16:40:02 UTC

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New package frailtyMMpen with initial version 1.0.0
Package: frailtyMMpen
Title: Efficient Algorithm for High-Dimensional Frailty Model
Version: 1.0.0
Maintainer: Yunpeng Zhou <u3514104@connect.hku.hk>
Description: The penalized and non-penalized Minorize-Maximization (MM) method for frailty models to fit the clustered data, multi-event data and recurrent data. Least absolute shrinkage and selection operator (LASSO), minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalized functions are implemented. All the methods are computationally efficient. These general methods are proposed based on the following papers, Huang, Xu and Zhou (2022) <doi:10.3390/math10040538>, Huang, Xu and Zhou (2023) <doi:10.1177/09622802221133554>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.5.0), survival, numDeriv, mgcv
Imports: Rcpp (>= 1.0.8), graphics, stats
LinkingTo: Rcpp, RcppGSL
NeedsCompilation: yes
Packaged: 2023-03-23 13:58:09 UTC; michael81
Author: Xifen Huang [aut], Yunpeng Zhou [aut, cre], Jinfeng Xu [ctb]
Repository: CRAN
Date/Publication: 2023-03-24 16:20:02 UTC

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New package deps with initial version 0.1.2
Package: deps
Title: Dependency Management with 'roxygen'-Style Comments
Version: 0.1.2
Date: 2023-03-23
Description: Manage your source code dependencies by decorating your existing R code with special, 'roxygen'-style comments.
License: MIT + file LICENSE
LazyLoad: yes
Imports: renv, jsonlite, remotes
Encoding: UTF-8
BugReports: https://github.com/analythium/deps/issues
URL: https://github.com/analythium/deps
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-24 03:21:05 UTC; Peter
Author: Peter Solymos [aut, cre] , Analythium Solutions Inc. [cph, fnd]
Maintainer: Peter Solymos <peter@analythium.io>
Repository: CRAN
Date/Publication: 2023-03-24 16:40:05 UTC

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New package SwimmeR with initial version 0.14.2
Package: SwimmeR
Title: Data Import, Cleaning, and Conversions for Swimming Results
Version: 0.14.2
Description: The goal of the 'SwimmeR' package is to provide means of acquiring, and then analyzing, data from swimming (and diving) competitions. To that end 'SwimmeR' allows results to be read in from .html sources, like 'Hy-Tek' real time results pages, '.pdf' files, 'ISL' results, 'Omega' results, and (on a development basis) '.hy3' files. Once read in, 'SwimmeR' can convert swimming times (performances) between the computationally useful format of seconds reported to the '100ths' place (e.g. 95.37), and the conventional reporting format (1:35.37) used in the swimming community. 'SwimmeR' can also score meets in a variety of formats with user defined point values, convert times between courses ('LCM', 'SCM', 'SCY') and draw single elimination brackets, as well as providing a suite of tools for working cleaning swimming data. This is a developmental package, not yet mature.
License: MIT + file LICENSE
Imports: purrr, dplyr, stringr, utils, rvest, pdftools, magrittr, xml2, readr
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-24 01:03:47 UTC; Greg
Author: Greg Pilgrim [aut, cre] , Caitlin Baldwin [ctb]
Maintainer: Greg Pilgrim <gpilgrim2670@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-03-24 13:20:02 UTC

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New package causaloptim with initial version 0.9.7
Package: causaloptim
Encoding: UTF-8
Title: An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects
Version: 0.9.7
Date: 2023-03-23
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Description: When causal quantities are not identifiable from the observed data, it still may be possible to bound these quantities using the observed data. We outline a class of problems for which the derivation of tight bounds is always a linear programming problem and can therefore, at least theoretically, be solved using a symbolic linear optimizer. We extend and generalize the approach of Balke and Pearl (1994) <doi:10.1016/B978-1-55860-332-5.50011-0> and we provide a user friendly graphical interface for setting up such problems via directed acyclic graphs (DAG), which only allow for problems within this class to be depicted. The user can then define linear constraints to further refine their assumptions to meet their specific problem, and then specify a causal query using a text interface. The program converts this user defined DAG, query, and constraints, and returns tight bounds. The bounds can be converted to R functions to evaluate them for specific datasets, and to latex code for [...truncated...]
License: MIT + file LICENSE
Imports: methods, Rcpp (>= 1.0.1), shiny, rcdd
Depends: R (>= 3.5.0), igraph
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/sachsmc/causaloptim
BugReports: https://github.com/sachsmc/causaloptim/issues
NeedsCompilation: yes
Packaged: 2023-03-23 09:10:43 UTC; sachsmc
Author: Michael C Sachs [aut, cre], Erin E Gabriel [aut], Arvid Sjoelander [aut], Gustav Jonzon [ctb] ), Alexander A Balke [ctb] ), Colorado Reed [ctb] )
Repository: CRAN
Date/Publication: 2023-03-24 12:00:15 UTC

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New package brickset with initial version 2022.0.0
Package: brickset
Title: Interface with the Brickset API for Getting Data About LEGO Sets
Version: 2022.0.0
Date: 2023-03-23
Maintainer: Jason Bryer <jason@bryer.org>
Description: Interface with the 'Brickset' API <https://brickset.com/article/52664/api-version-3-documentation> for getting data about LEGO sets. Data sets that can be used for teaching and learning without the need of a 'Brickset' account and API key are also included. Includes all LEGO since through the end of 2022.
License: GPL (>= 3)
URL: https://github.com/jbryer/brickset, https://jbryer.github.io/brickset/
BugReports: https://github.com/jbryer/brickset/issues
Imports: dplyr, httr, jsonlite
Suggests: DT, ggplot2, knitr
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2023-03-23 22:53:04 UTC; jbryer
Author: Jason Bryer [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-03-24 08:40:02 UTC

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Thu, 23 Mar 2023

New package PCObw with initial version 0.0.1
Package: PCObw
Title: Bandwidth Selector with Penalized Comparison to Overfitting Criterion
Version: 0.0.1
Date: 2023-03-16
Author: S. Varet
Maintainer: S. Varet <suzanne.varet@universite-paris-saclay.fr>
Description: Bandwidth selector according to the Penalised Comparison to Overfitting (P.C.O.) criterion as described in Varet, S., Lacour, C., Massart, P., Rivoirard, V., (2019) <https://hal.archives-ouvertes.fr/hal-02002275>. It can be used with univariate and multivariate data.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.17), stats(>= 3.5.2)
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, mvtnorm
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-03-21 13:53:23 UTC; suzanne.varet
Repository: CRAN
Date/Publication: 2023-03-23 22:32:13 UTC

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New package Vicus with initial version 0.99.0
Package: Vicus
Title: Exploiting Local Structures to Improve Network-Based Analysis of Biological Data
Version: 0.99.0
Depends: R (>= 3.4.0)
Imports: methods, utils, RANN, Matrix, RSpectra
Suggests: scatterplot3d, knitr, rmarkdown, testthat
Description: Compared with the similar graph embedding method such as Laplacian Eigenmaps, 'Vicus' can exploit more local structures of graph data. For the details of the methods, see the reference section of 'GitHub' README.md <https://github.com/rikenbit/Vicus>.
License: MIT + file LICENSE
URL: https://github.com/rikenbit/Vicus
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-23 10:25:26 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2023-03-23 19:32:04 UTC

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New package sparseDFM with initial version 1.0
Package: sparseDFM
Title: Estimate Dynamic Factor Models with Sparse Loadings
Version: 1.0
Description: Implementation of various estimation methods for dynamic factor models (DFMs) including principal components analysis (PCA) Stock and Watson (2002) <doi:10.1198/016214502388618960>, 2Stage Giannone et al. (2008) <doi:10.1016/j.jmoneco.2008.05.010>, expectation-maximisation (EM) Banbura and Modugno (2014) <doi:10.1002/jae.2306>, and the novel EM-sparse approach for sparse DFMs Mosley et al. (2023) <arXiv:2303.11892>. Options to use classic multivariate Kalman filter and smoother (KFS) equations from Shumway and Stoffer (1982) <doi:10.1111/j.1467-9892.1982.tb00349.x> or fast univariate KFS equations from Koopman and Durbin (2000) <doi:10.1111/1467-9892.00186>, and options for independent and identically distributed (IID) white noise or auto-regressive (AR(1)) idiosyncratic errors. Algorithms coded in 'C++' and linked to R via 'RcppArmadillo'.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.9), Matrix, ggplot2
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, gridExtra
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-03-23 10:36:30 UTC; mosleyl
Author: Luke Mosley [aut], Tak-Shing Chan [aut], Alex Gibberd [aut, cre]
Maintainer: Alex Gibberd <a.gibberd@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2023-03-23 19:40:02 UTC

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New package c2z with initial version 0.1.4
Package: c2z
Title: A Reference Manager
Version: 0.1.4
Maintainer: Oystein Olav Skaar <oeysan@gmail.com>
Description: 'Cristin' to 'Zotero' ('c2z') aims at obtaining total dominion over 'Cristin' ('Current Research Information SysTem in Norway') and 'Zotero'. The package enables manipulating 'Zotero' libraries using 'R'. Import references from 'Cristin', 'Regjeringen', 'CRAN', 'ISBN' ('Alma', 'LoC'), and 'DOI' ('CrossRef', 'DataCite') to a 'Zotero' library. Add, edit, copy, or delete items, including attachments and collections, and export references to 'BibLaTeX' (and other formats).
License: MIT + file LICENSE
URL: https://github.com/oeysan/c2z/, https://oeysan.github.io/c2z/
BugReports: https://github.com/oeysan/c2z/issues/
Depends: R (>= 4.1)
Imports: dplyr, httr, jsonlite, purrr, rlang, rvest, stats, tibble, tidyr, tidyselect, utils
Suggests: covr, knitr, readr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-23 11:32:40 UTC; oeysan
Author: Oystein Olav Skaar [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-03-23 19:42:07 UTC

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New package repsd with initial version 1.0.0
Package: repsd
Title: Root Expected Proportion Squared Difference for Detecting DIF
Version: 1.0.0
Description: Root Expected Proportion Squared Difference (REPSD) is a nonparametric differential item functioning (DIF) method that (a) allows practitioners to explore for DIF related to small, fine-grained focal groups of examinees, and (b) compares the focal group directly to the composite group that will be used to develop the reported test score scale. Using your provided response matrix with a column that identifies focal group membership, this package provides the REPSD values, a simulated null distribution of possible REPSD values, and the simulated p-values identifying items possibly displaying DIF without requiring enormous sample sizes.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0), progress
Suggests: colorDF, testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-22 16:38:48 UTC; anthony_raborn
Author: Anne Corrine Huggins-Manley [aut], Anthony William Raborn [aut, cre]
Maintainer: Anthony William Raborn <anthony.w.raborn@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-23 10:30:02 UTC

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New package nrba with initial version 0.1.0
Package: nrba
Title: Methods for Conducting Nonresponse Bias Analysis (NRBA)
Version: 0.1.0
Description: Facilitates nonresponse bias analysis (NRBA) for survey data. Such data may arise from a complex sampling design with features such as stratification, clustering, or unequal probabilities of selection. Multiple types of analyses may be conducted: comparisons of response rates across subgroups; comparisons of estimates before and after weighting adjustments; comparisons of sample-based estimates to external population totals; tests of systematic differences in covariate means between respondents and full samples; tests of independence between response status and covariates; and modeling of outcomes and response status as a function of covariates. Extensive documentation and references are provided for each type of analysis. Krenzke, Van de Kerckhove, and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR> provide an overview [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: broom, dplyr, magrittr, stats, survey (>= 4.1-1), svrep
Suggests: knitr, rmarkdown, stringr, testthat (>= 3.0.0), tibble
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-22 23:00:49 UTC; schneider_b
Author: Ben Schneider [aut, cre] , Jim Green [aut], Shelley Brock [aut] , Tom Krenzke [aut] , Michael Jones [aut] , Wendy Van de Kerckhove [aut] , David Ferraro [aut] , Laura Alvarez-Rojas [aut] , Katie Hubbell [aut] , Westat [cph]
Maintainer: Ben Schneider <BenjaminSchneider@westat.com>
Repository: CRAN
Date/Publication: 2023-03-23 09:50:02 UTC

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New package ecan with initial version 0.2.0
Package: ecan
Title: Ecological Analysis and Visualization
Version: 0.2.0
Description: Support ecological analyses such as ordination and clustering. Contains consistent and easy wrapper functions of 'stat', 'vegan', 'labdsv' and 'dave' packages, and visualisation functions of ordination and clustering.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
URL: https://github.com/matutosi/ecan https://github.com/matutosi/ecan/tree/develop (devel)
Imports: MASS, cluster, dave, dendextend, dplyr, ggplot2, jsonlite, labdsv, magrittr, purrr, rlang, stringr, tibble, tidyr, vegan
Suggests: ggdendro, knitr, rmarkdown, testthat (>= 3.0.0),
NeedsCompilation: no
Packaged: 2023-03-23 00:00:08 UTC; test
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-23 10:00:02 UTC

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New package crayons with initial version 0.0.2
Package: crayons
Title: Color Palettes from Crayon Boxes
Version: 0.0.2
Description: Provides color palettes based on crayon colors since the early 1900s. Colors are based on various crayon colors, sets, and promotional palettes, most of which can be found at <https://en.wikipedia.org/wiki/List_of_Crayola_crayon_colors>. All palettes are discrete palettes and are not necessarily color-blind friendly. Provides scales for 'ggplot2' for discrete coloring.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/christopherkenny/crayons, http://christophertkenny.com/crayons/
BugReports: https://github.com/christopherkenny/crayons/issues
Imports: ggplot2, grDevices
Suggests: cli, farver
NeedsCompilation: no
Packaged: 2023-03-22 22:47:51 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2023-03-23 09:50:10 UTC

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Wed, 22 Mar 2023

New package PSAboot with initial version 1.3.6
Package: PSAboot
Title: Bootstrapping for Propensity Score Analysis
Version: 1.3.6
Date: 2023-03-21
Maintainer: Jason Bryer <jason@bryer.org>
Description: It is often advantageous to test a hypothesis more than once in the context of propensity score analysis (Rosenbaum, 2012) <doi:10.1093/biomet/ass032>. The functions in this package facilitate bootstrapping for propensity score analysis (PSA). By default, bootstrapping using two classification tree methods (using 'rpart' and 'ctree' functions), two matching methods (using 'Matching' and 'MatchIt' packages), and stratification with logistic regression. A framework is described for users to implement additional propensity score methods. Visualizations are emphasized for diagnosing balance; exploring the correlation relationships between bootstrap samples and methods; and to summarize results.
License: GPL
URL: https://github.com/jbryer/PSAboot
BugReports: https://github.com/jbryer/PSAboot/issues
Depends: ggplot2, graphics, PSAgraphics, R (>= 3.0)
Imports: ggthemes, Matching, MatchIt, modeltools, parallel, party, psych, reshape2, rpart, stats, TriMatch, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Packaged: 2023-03-22 13:53:57 UTC; jbryer
Author: Jason Bryer [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-22 19:50:05 UTC

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New package morf with initial version 1.0.0
Package: morf
Title: Modified Ordered Random Forest
Version: 1.0.0
Description: Nonparametric estimator of the ordered choice model using random forests. The estimator modifies a standard random forest splitting criterion to build a collection of forests, each estimating the conditional probability of a single class. The package also implements a nonparametric estimator of the covariates’ marginal effects.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.1)
Imports: Rcpp, Matrix, stats, utils, stringr, orf
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://riccardo-df.github.io/morf/
Biarch: TRUE
NeedsCompilation: yes
Packaged: 2023-03-22 07:38:35 UTC; difra
Author: Riccardo Di Francesco [aut, cre]
Maintainer: Riccardo Di Francesco <difrancesco.riccardo96@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-22 19:40:06 UTC

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New package ggFishPlots with initial version 0.2.2
Package: ggFishPlots
Title: Visualise and Calculate Life History Parameters for Fisheries Science using 'ggplot2'
Version: 0.2.2
Date: 2023-03-21
URL: https://github.com/DeepWaterIMR/ggFishPlots
BugReports: https://github.com/DeepWaterIMR/ggFishPlots/issues
Description: Contains functions to create life history parameter plots from raw data. The plots are created using 'ggplot2', and calculations done using the 'tidyverse' collection of packages. The package contains references to FishBase (Froese R., Pauly. D., 2023) <https://www.fishbase.se/>.
Depends: R (>= 3.5.0), ggplot2
Imports: dplyr, tibble, tidyr, ggridges, fishmethods, broom, rlang, tidyselect, magrittr, ggrepel
Suggests: knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-22 10:54:34 UTC; a22357
Author: Mikko Vihtakari [aut, cre]
Maintainer: Mikko Vihtakari <mikko.vihtakari@hi.no>
Repository: CRAN
Date/Publication: 2023-03-22 19:40:10 UTC

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New package csranks with initial version 1.0.1
Package: csranks
Title: Confidence Sets for Ranks
Version: 1.0.1
Description: Construct confidence sets for positions of populations in a ranking based on values of a certain feature and their estimation errors. Both simultaneous and marginal confidence sets are available, as well as confidence sets with populations occupying top-n positions in the ranking. Theory based on Mogstad, Romano, Shaikh, and Wilhelm (2023)<doi:10.1093/restud/rdad006>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/danielwilhelm/R-CS-ranks, https://danielwilhelm.github.io/R-CS-ranks/
BugReports: https://github.com/danielwilhelm/R-CS-ranks/issues
Depends: R (>= 3.5.0)
Imports: stats, ggplot2, scales, MASS, cli
Suggests: spelling, testthat (>= 2.1.0), grid, knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-22 10:11:43 UTC; mrdomani
Author: Daniel Wilhelm [aut, cre], Pawel Morgen [aut]
Maintainer: Daniel Wilhelm <d.wilhelm@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2023-03-22 19:40:13 UTC

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New package HDPenReg with initial version 0.94.9
Package: HDPenReg
Version: 0.94.9
Date: 2023-03-22
Encoding: UTF-8
Title: High-Dimensional Penalized Regression
Copyright: Inria - Université de Lille
BugReports: https://github.com/modal-inria/HDPenReg/issues
Depends: R (>= 3.0.2), rtkore (>= 1.6.7)
Imports: methods, Matrix
Description: Algorithms for lasso and fused-lasso problems: C++ implementation of the 'lars' algorithm for lasso and fusion penalization <doi:10.1214/009053604000000067>, and EM-based algorithms for (logistic) lasso and fused-lasso penalization.
License: GPL (>= 2)
LinkingTo: rtkore, Rcpp
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2023-03-22 10:52:51 UTC; quentin
Author: Quentin Grimonprez [aut, cre], Serge Iovleff [aut]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>
Repository: CRAN
Date/Publication: 2023-03-22 16:50:21 UTC

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New package evolqg with initial version 0.3-2
Package: evolqg
Title: Evolutionary Quantitative Genetics
Version: 0.3-2
Date: 2023-03-21
Description: Provides functions for covariance matrix comparisons, estimation of repeatabilities in measurements and matrices, and general evolutionary quantitative genetics tools. Melo D, Garcia G, Hubbe A, Assis A P, Marroig G. (2016) <doi:10.12688/f1000research.7082.3>.
Depends: R (>= 4.1.0), plyr (>= 1.7.1)
Imports: Matrix, reshape2, ggplot2, vegan, ape, expm, numDeriv, Morpho, mvtnorm, coda, igraph, MCMCpack, graphics, grDevices, methods, stats, utils
Suggests: dplyr, testthat, foreach, grid, gridExtra, doParallel, cowplot
LinkingTo: Rcpp, RcppArmadillo
License: MIT + file LICENSE
BugReports: https://github.com/lem-usp/evolqg/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-03-22 01:50:23 UTC; diogro
Author: Diogo Melo [aut, cre] , Ana Paula Assis [aut], Edgar Zanella [ctb], Fabio Andrade Machado [aut] , Guilherme Garcia [aut], Alex Hubbe [rev] , Gabriel Marroig [ths]
Maintainer: Diogo Melo <diogro@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-22 16:50:17 UTC

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New package granova with initial version 2.2
Package: granova
Version: 2.2
Date: 2023-03-21
Title: Graphical Analysis of Variance
Author: Frederic Bertrand [cre] , Robert M. Pruzek [aut], James E. Helmreich [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Depends: R (>= 3.1.1), car (>= 2.0-21)
Suggests: mgcv, rgl, tcltk, MASS
Description: This small collection of functions provides what we call elemental graphics for display of analysis of variance results, David C. Hoaglin, Frederick Mosteller and John W. Tukey (1991, ISBN:978-0-471-52735-0), Paul R. Rosenbaum (1989) <doi:10.2307/2684513>, Robert M. Pruzek and James E. Helmreich <https://jse.amstat.org/v17n1/helmreich.html>. The term elemental derives from the fact that each function is aimed at construction of graphical displays that afford direct visualizations of data with respect to the fundamental questions that drive the particular analysis of variance methods. These functions can be particularly helpful for students and non-statistician analysts. But these methods should be quite generally helpful for work-a-day applications of all kinds, as they can help to identify outliers, clusters or patterns, as well as highlight the role of non-linear transformations of data.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-22 10:55:25 UTC; fbertran
Repository: CRAN
Date/Publication: 2023-03-22 11:30:02 UTC

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New package quanteda.textmodels with initial version 0.9.6
Package: quanteda.textmodels
Title: Scaling Models and Classifiers for Textual Data
Version: 0.9.6
Description: Scaling models and classifiers for sparse matrix objects representing textual data in the form of a document-feature matrix. Includes original implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>, 'Wordscores' model, the Perry and 'Benoit' (2017) <arXiv:1710.08963> class affinity scaling model, and the 'Slapin' and 'Proksch' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish' model, as well as methods for correspondence analysis, latent semantic analysis, and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.
Depends: R (>= 3.1.0), methods
Imports: glmnet, LiblineaR, Matrix (>= 1.2), quanteda (>= 2.0), RSpectra, Rcpp (>= 0.12.12), RcppParallel, SparseM, stringi
Suggests: ca, covr, fastNaiveBayes, knitr, lsa, microbenchmark, naivebayes, quanteda.textplots, spelling, testthat, rmarkdown
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (>= 0.7.600.1.0), quanteda
URL: https://github.com/quanteda/quanteda.textmodels
License: GPL-3
Encoding: UTF-8
LazyData: true
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-22 00:55:30 UTC; kbenoit
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Patrick O. Perry [aut] , Benjamin Lauderdale [aut] , Johannes Gruber [aut] , William Lowe [aut] , Vikas Sindhwani [cph] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2023-03-22 09:20:08 UTC

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New package pokemon with initial version 0.1.3
Package: pokemon
Title: Pokemon Data in English and Brazilian Portuguese
Version: 0.1.3
Description: Provides a dataset of Pokemon information in both English and Brazilian Portuguese. The dataset contains 949 rows and 22 columns, including information such as the Pokemon's name, ID, height, weight, stats, type, and more.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/williamorim/pokemon
BugReports: https://github.com/williamorim/pokemon/issues
NeedsCompilation: no
Packaged: 2023-03-22 03:34:31 UTC; williamamorim
Author: William Amorim [aut, cre]
Maintainer: William Amorim <thewilliam89@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-22 09:30:02 UTC

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New package octopus with initial version 0.1.2
Package: octopus
Title: A Database Management Tool
Version: 0.1.2
Maintainer: Marcus Codrescu <m.codrescu@outlook.com>
Description: A database management tool built as a 'shiny' application. Connect to various databases to send queries, upload files, preview tables, and more.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: duckdb, keyring, odbc, readr, RMySQL, RPostgres, RSQLite, testthat (>= 3.0.0)
Imports: bslib, DBI, dplyr, DT, glue, httr, janitor, rio, shiny, shinyAce, shinyjs, utils
NeedsCompilation: no
Packaged: 2023-03-22 02:20:22 UTC; mc678p
Author: Marcus Codrescu [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-22 09:30:05 UTC

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New package HGraph with initial version 0.1.0
Package: HGraph
Title: Use Graph Structure to Travel
Version: 0.1.0
Author: JinanPang[aut, cre], HuiLi[ctb]
Maintainer: Jinan Pang <pang.jinan@qq.com>
Description: It is used to travel graphs, by using DFS and BFS to get the path from node to each leaf node. Depth first traversal(DFS) is a recursive algorithm for searching all the vertices of a graph or tree data structure. Traversal means visiting all the nodes of a graph. Breadth first traversal(BFS) algorithm is used to search a tree or graph data structure for a node that meets a set of criteria. It starts at the tree’s root or graph and searches/visits all nodes at the current depth level before moving on to the nodes at the next depth level. Also, it provides the matrix which is reachable between each node. Implement reference about Baruch Awerbuch (1985) <doi:10.1016/0020-0190(85)90083-3>.
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
Imports: methods, knitr
VignetteBuilder: knitr
Suggests: rmarkdown
NeedsCompilation: no
Packaged: 2023-03-22 00:18:47 UTC; stongan
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-03-22 09:20:12 UTC

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New package guidedPLS with initial version 0.99.0
Package: guidedPLS
Title: Supervised Dimensional Reduction by Guided Partial Least Squares
Version: 0.99.0
Depends: R (>= 3.4.0)
Imports: irlba
Suggests: fields, knitr, rmarkdown, testthat
Description: Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). For the details of the methods, see the reference section of GitHub README.md <https://github.com/rikenbit/guidedPLS>.
License: MIT + file LICENSE
URL: https://github.com/rikenbit/guidedPLS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-22 05:09:36 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2023-03-22 09:30:08 UTC

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New package epicasting with initial version 0.1.0
Package: epicasting
Title: Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting
Version: 0.1.0
Author: Madhurima Panja [aut], Tanujit Chakraborty [aut, cre, cph]
Description: Method and tool for generating time series forecasts using an ensemble wavelet-based auto-regressive neural network architecture. This method provides additional support of exogenous variables and also generates confidence interval. This package provides EWNet model for time series forecasting based on the algorithm by Panja, et al. (2022) and Panja, et al. (2023) <arXiv:2206.10696> <doi:10.1016/j.chaos.2023.113124>.
Maintainer: Tanujit Chakraborty <tanujitisi@gmail.com>
License: GPL (>= 2)
Encoding: UTF-8
Imports: forecast, Metrics, stats, wavelets
Depends: datasets
Suggests: ggplot2
NeedsCompilation: no
Packaged: 2023-03-22 06:19:46 UTC; mad-s
Repository: CRAN
Date/Publication: 2023-03-22 09:40:02 UTC

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New package sox with initial version 1.0
Package: sox
Title: Structured Learning in Time-Dependent Cox Models
Version: 1.0
Date: 2023-03-21
Description: Efficient procedures for fitting and cross-validating the structurally-regularized time-dependent Cox models. The penalty term is a weighted sum of infinity norms of (overlapping) groups of coefficients, which can select variables following a user-specified grouping structure.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0), survival, glmnet
Imports: Rcpp (>= 1.0.10)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
LazyData: true
Copyright: file inst/COPYRIGHTS
NeedsCompilation: yes
Packaged: 2023-03-21 21:07:16 UTC; YLIAN
Author: Yi Lian [aut, cre], Guanbo Wang [aut], Archer Y. Yang [aut], Mireille E. Schnitzer [aut], Robert W. Platt [aut], Rui Wang [aut], Marc Dorais [aut], Sylvie Perreault [aut], Julien Mairal [ctb], Yuansi Chen [ctb]
Maintainer: Yi Lian <yi.lian@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2023-03-22 09:00:02 UTC

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New package npbr with initial version 1.8
Package: npbr
Title: Nonparametric Boundary Regression
Version: 1.8
Date: 2023-03-21
Author: Abdelaati Daouia <Abdelaati.Daouia@tse-fr.eu>, Thibault Laurent <thibault.laurent@univ-tlse1.fr>, Hohsuk Noh <word5810@gmail.com>
Maintainer: Thibault Laurent <thibault.laurent@univ-tlse1.fr>
Depends: R (>= 4.0.0), graphics, stats, utils
Imports: Benchmarking, np, quadprog, Rglpk (>= 0.6-2), splines
Description: A variety of functions for the best known and most innovative approaches to nonparametric boundary estimation. The selected methods are concerned with empirical, smoothed, unrestricted as well as constrained fits under both separate and multiple shape constraints. They cover robust approaches to outliers as well as data envelopment techniques based on piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing. The package also seamlessly allows for Monte Carlo comparisons among these different estimation methods. Its use is illustrated via a number of empirical applications and simulated examples.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-03-21 16:06:46 UTC; laurent
Repository: CRAN
Date/Publication: 2023-03-22 09:00:05 UTC

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New package matric with initial version 0.2.0
Package: matric
Title: Metrics for Similarity Matrices
Version: 0.2.0
Description: Calculate quality metrics for readouts from high-throughput profiling experiments.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: arrow, dplyr, magrittr, tibble, tidyr, readr, jsonlite, glue, purrr, ggplot2, stringr, rlang (>= 0.4.11), yardstick, foreach, logger, furrr, future
Suggests: testthat (>= 3.0.0), covr, knitr, markdown, rmarkdown, roxygen2
URL: https://github.com/cytomining/matric
BugReports: https://github.com/cytomining/matric/issues
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-21 20:32:19 UTC; shsingh
Author: Shantanu Singh [aut, cre, cph], Gregory Way [aut]
Maintainer: Shantanu Singh <shsingh@broadinstitute.org>
Repository: CRAN
Date/Publication: 2023-03-22 08:50:02 UTC

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New package KinMixLite with initial version 2.0.8
Package: KinMixLite
Title: Inference About Relationships from DNA Mixtures
Version: 2.0.8
Date: 2023-03-21
Maintainer: Peter Green <P.J.Green@bristol.ac.uk>
Description: Methods for inference about relationships between contributors to a DNA mixture and other individuals of known genotype: a basic example would be testing whether a contributor to a mixture is the father of a child of known genotype. This provides most of the functionality of the 'KinMix' package, but with some loss of efficiency and restriction on problem size, as the latter uses 'RHugin' as the Bayes net engine, while this package uses 'gRain'. The package implements the methods introduced in Green, P. J. and Mortera, J. (2017) <doi:10.1016/j.fsigen.2017.02.001> and Green, P. J. and Mortera, J. (2021) <doi:10.1111/rssc.12498>.
License: GPL (>= 2)
Depends: DNAmixturesLite, gRaven
Imports: statnet.common, gRbase, Rsolnp, ribd, pedtools, methods
URL: https://petergreenweb.wordpress.com/kinmix/
NeedsCompilation: no
Packaged: 2023-03-21 17:50:32 UTC; peter
Author: Peter Green [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-22 08:50:12 UTC

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New package debkeepr with initial version 0.1.1
Package: debkeepr
Title: Analysis of Non-Decimal Currencies and Double-Entry Bookkeeping
Version: 0.1.1
Description: Analysis of historical non-decimal currencies and value systems that use tripartite or tetrapartite systems such as pounds, shillings, and pence. It introduces new vector classes to represent non-decimal currencies, making them compatible with numeric classes, and provides functions to work with these classes in data frames in the context of double-entry bookkeeping.
License: MIT + file LICENSE
URL: https://github.com/jessesadler/debkeepr, https://jessesadler.github.io/debkeepr/
BugReports: https://github.com/jessesadler/debkeepr/issues
Depends: R (>= 3.5)
Imports: cli (>= 3.4.0), dplyr (>= 1.0.0), magrittr, methods, rlang (>= 1.1.0), tibble (>= 3.0.0), vctrs (>= 0.5.2), zeallot
Suggests: covr, ggplot2, ggraph, igraph, knitr, rmarkdown, roxygen2, scales (>= 1.1.0), testthat (>= 3.1.3)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-21 21:54:06 UTC; jessesadler
Author: Jesse Sadler [aut, cre, cph]
Maintainer: Jesse Sadler <jrsadler@icloud.com>
Repository: CRAN
Date/Publication: 2023-03-22 09:00:10 UTC

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New package baseq with initial version 0.1.0
Package: baseq
Title: Basic Sequence Processing Tool for Biological Data
Version: 0.1.0
Description: Primarily created as an easy and understanding way to do basic sequences surrounding the central dogma of molecular biology.
License: GPL-3
URL: https://github.com/ambuvjyn/baseq
Encoding: UTF-8
Imports: stringr
NeedsCompilation: no
Packaged: 2023-03-21 20:53:41 UTC; ambuv
Author: Ambu Vijayan [aut, cre]
Maintainer: Ambu Vijayan <ambuvjyn@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-22 08:50:06 UTC

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Tue, 21 Mar 2023

New package symbol.equation.gpt with initial version 1.1.1
Package: symbol.equation.gpt
Title: Powerful User Interface to Build and Insert Symbols and Equations
Version: 1.1.1
Maintainer: Obinna Obianom <idonshayo@gmail.com>
Description: User Interface for adding symbols, smileys, arrows, building mathematical equations using 'LaTeX' or 'r2symbols'. Built for use in development of 'Markdown' and 'Shiny' Outputs.
License: MIT + file LICENSE
URL: https://symbols-ui.obi.obianom.com/
BugReports: https://github.com/oobianom/symbol.equation.gpt/issues/
Depends: R (>= 3.6)
Imports: utils, htmltools, shiny, nextGenShinyApps, r2symbols, shinyStorePlus, rstudioapi, markdown
Suggests: rmarkdown, knitr
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2023-03-21 17:38:15 UTC; in198
Author: Obinna Obianom [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-21 20:50:02 UTC

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New package mzipmed with initial version 1.2.5
Package: mzipmed
Title: Mediation using MZIP Model
Version: 1.2.5
Author: Andrew Sims [aut, cre] , Dustin Long [aut], Hemant Tiwari [aut], Leann Long [aut]
Maintainer: Andrew Sims <ams329@uab.edu>
Description: We implement functions allowing for mediation analysis to be performed in cases where the mediator is a count variable with excess zeroes. First a function is provided allowing users to perform analysis for zero-inflated count variables using the marginalized zero-inflated Poisson (MZIP) model (Long et al. 2014 <DOI:10.1002/sim.6293>). Using the counterfactual approach to mediation and MZIP we can obtain natural direct and indirect effects for the overall population. Using delta method processes variance estimation can be performed instantaneously. Alternatively, bootstrap standard errors can be used. We also provide functions for cases with exposure-mediator interactions with four-way decomposition of total effect.
Encoding: UTF-8
LazyData: true
Imports: MASS, robust, stats, matrixStats
License: MIT + file LICENSE
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-03-20 19:17:29 UTC; andre
Repository: CRAN
Date/Publication: 2023-03-21 19:40:02 UTC

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New package htetree with initial version 0.1.13
Package: htetree
Title: Causal Inference with Tree-Based Machine Learning Algorithms
Version: 0.1.13
Description: Estimating heterogeneous treatment effects with tree-based machine learning algorithms and visualizing estimated results in flexible and presentation-ready ways. For more information, see Brand, Xu, Koch, and Geraldo (2021) <doi:10.1177/0081175021993503>. Our current package first started as a fork of the 'causalTree' package on 'GitHub' and we greatly appreciate the authors for their extremely useful and free package.
Depends: R (>= 3.6.0)
Imports: Rcpp, grf, partykit, data.tree, Matching, dplyr, jsonlite, rpart, rpart.plot, shiny, stringr
Suggests: optmatch, haven, foreign, data.table, remotes, party
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2023-03-20 16:10:48 UTC; jiahuixu
Author: Jiahui Xu [cre, aut], Tanvi Shinkre [aut], Jennie Brand [aut]
Maintainer: Jiahui Xu <jiahuixu@ucla.edu>
Repository: CRAN
Date/Publication: 2023-03-21 19:40:05 UTC

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New package dcm2 with initial version 1.0.2
Package: dcm2
Title: Calculating the M2 Model Fit Statistic for Diagnostic Classification Models
Version: 1.0.2
Description: A collection of functions for calculating the M2 model fit statistic for diagnostic classification models as described by Liu et al. (2016) <DOI:10.3102/1076998615621293>. These functions provide multiple sources of information for model fit according to the M2 statistic, including the M2 statistic, the *p* value for that M2 statistic, and the Root Mean Square Error of Approximation based on the M2 statistic.
License: GPL-3
URL: https://github.com/atlas-aai/dcm2
BugReports: https://github.com/atlas-aai/dcm2/issues
Depends: R (>= 3.6)
Imports: dplyr (>= 0.8.4), glue (>= 1.4.2), magrittr (>= 1.5), methods (>= 4.1.0), modelr (>= 0.1.8), purrr (>= 0.3.3), Rcpp, rlang (>= 0.4.11), stringr (>= 1.4.0), tibble (>= 2.1.3), tidyr (>= 1.1.4)
Suggests: covr, GDINA, roxygen2, spelling, testthat (>= 2.1.0)
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.800.1.0)
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: yes
Packaged: 2023-03-20 19:54:01 UTC; jeff
Author: Jeffrey Hoover [aut, cre, cph] , W. Jake Thompson [aut] , Wenchao Ma [ctb]
Maintainer: Jeffrey Hoover <jeffrey.c.hoover@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-21 19:50:02 UTC

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New package occupationMeasurement with initial version 0.2.0
Package: occupationMeasurement
Title: Interactively Measure Occupations in Interviews and Beyond
Version: 0.2.0
Description: Perform interactive occupation coding during interviews as described in Peycheva, D., Sakshaug, J., Calderwood, L. (2021) <doi:10.2478/jos-2021-0042> and Schierholz, M., Gensicke, M., Tschersich, N., Kreuter, F. (2018) <doi:10.1111/rssa.12297>. Generate suggestions for occupational categories based on free text input, with pre-trained machine learning models in German and a ready-to-use shiny application provided for quick and easy data collection.
License: MIT + file LICENSE
URL: https://occupationMeasurement.github.io/occupationMeasurement/, https://github.com/occupationMeasurement/occupationMeasurement
BugReports: https://github.com/occupationMeasurement/occupationMeasurement/issues
Encoding: UTF-8
Imports: data.table (>= 1.14.2), digest, shiny (>= 1.7.1), stringdist (>= 0.9.8), stringr (>= 1.4.0), text2vec (>= 0.6.1), tm (>= 0.7.8)
Suggests: plumber, devtools, testthat, shinytest2, httr, withr, callr, usethis, mvtnorm, readxl, styler, knitr, rmarkdown, DiagrammeR, sessioninfo
Depends: R (>= 4.1)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-20 13:25:36 UTC; jan
Author: Jan Simson [aut, cre] , Olga Kononykhina [aut], Malte Schierholz [aut, cph]
Maintainer: Jan Simson <jan.simson@lmu.de>
Repository: CRAN
Date/Publication: 2023-03-21 17:20:02 UTC

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New package crew with initial version 0.0.4
Package: crew
Title: A Distributed Worker Launcher
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services The 'NNG'-powered 'mirai' R package by Gao (2023) <https://CRAN.R-project.org/package=mirai> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Version: 0.0.4
License: MIT + file LICENSE
URL: https://wlandau.github.io/crew/, https://github.com/wlandau/crew
BugReports: https://github.com/wlandau/crew/issues
Depends: R (>= 3.5.0)
Imports: bench, callr, getip, mirai (>= 0.8.0), nanonext (>= 0.8.0), parallelly, ps, R6, rlang, tibble, tidyselect, utils, withr
Suggests: knitr (>= 1.30), markdown (>= 1.1), rmarkdown (>= 2.4), testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-20 14:00:32 UTC; c240390
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-21 17:30:02 UTC

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New package baseballr with initial version 1.5.0
Package: baseballr
Title: Acquiring and Analyzing Baseball Data
Version: 1.5.0
Description: Provides numerous utilities for acquiring and analyzing baseball data from online sources such as 'Baseball Reference' <https://www.baseball-reference.com/>, 'FanGraphs' <https://www.fangraphs.com/>, and the 'MLB Stats' API <https://www.mlb.com/>.
License: MIT + file LICENSE
URL: https://billpetti.github.io/baseballr/, https://github.com/BillPetti/baseballr
BugReports: https://github.com/BillPetti/baseballr/issues
Depends: R (>= 4.0.0)
Imports: cli (>= 3.4.1), data.table (>= 1.14.0), dplyr (>= 1.0.10), ggplot2, glue, httr (>= 0.5), janitor, jsonlite, lubridate, magrittr, purrr (>= 1.0.0), Rcpp, RcppParallel, rlang (>= 1.0.4), rvest (>= 1.0.0), stringr (>= 1.3.0), tibble (>= 3.0), tidyr (>= 1.0.0)
Suggests: crayon (>= 1.3.4), curl, DBI, furrr, future, ggrepel, knitr, pacman, progressr (>= 0.6.0), qs (>= 0.25.1), reshape2, rmarkdown, RSQLite, scales, stringi, stats, testthat, usethis (>= 1.6.0), xml2 (>= 1.3), zoo
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-20 14:00:53 UTC; saiem
Author: Bill Petti [aut], Saiem Gilani [aut, cre], Ben Baumer [ctb], Ben Dilday [ctb], Robert Frey [ctb], Camden Kay [ctb]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-21 17:30:06 UTC

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New package ards with initial version 0.1.1
Package: ards
Title: Creates Analysis Results Datasets
Version: 0.1.1
Maintainer: David Bosak <dbosak01@gmail.com>
Description: Contains functions to help create an Analysis Results Dataset. The dataset follows industry recommended structure. The dataset can be created in multiple passes, using different data frames as input. Analysis Results Datasets are used in the pharmaceutical and biotech industries to capture analysis in a common tabular data structure.
License: CC0
Encoding: UTF-8
URL: https://ards.r-sassy.org
BugReports: https://github.com/dbosak01/ards/issues
Depends: R (>= 4.1)
Suggests: dplyr, tidyr, tibble, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-20 13:26:18 UTC; dbosa
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Jack Fuller [ctb], Matt Baldwin [ctb]
Repository: CRAN
Date/Publication: 2023-03-21 17:20:06 UTC

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New package switchr with initial version 0.14.8
Package: switchr
Title: Installing, Managing, and Switching Between Distinct Sets of Installed Packages
Version: 0.14.8
Author: Gabriel Becker[aut, cre]
Maintainer: Gabriel Becker <gabembecker@gmail.com>
Copyright: Genentech Inc
Description: Provides an abstraction for managing, installing, and switching between sets of installed R packages. This allows users to maintain multiple package libraries simultaneously, e.g. to maintain strict, package-version-specific reproducibility of many analyses, or work within a development/production release paradigm. Introduces a generalized package installation process which supports multiple repository and non-repository sources and tracks package provenance.
Imports: tools, RJSONIO, RCurl
Depends: methods
Suggests: BiocManager
SystemRequirements: git, svn
License: Artistic-2.0
URL: https://github.com/gmbecker/switchr
BugReports: https://github.com/gmbecker/switchr/issues
NeedsCompilation: no
Packaged: 2023-03-20 00:26:22 UTC; gabrielbecker
Repository: CRAN
Date/Publication: 2023-03-21 17:00:02 UTC

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New package scplot with initial version 0.3.0
Package: scplot
Title: Plot Function for Single-Case Data Frames
Version: 0.3.0
Date: 2023-3-20
Description: Add-on for the 'scan' package that creates plots from single-case data frames ('scdf'). It includes functions for styling single-case plots, adding phase-based lines to indicate various statistical parameters, and predefined themes for presentations and publications. More information and in depth examples can be found in the online book "Analyzing Single-Case Data with R and 'scan" Jürgen Wilbert (2023) <https://jazznbass.github.io/scan-Book/>.
Depends: ggplot2, R (>= 3.5.0), scan (>= 0.57.0)
Imports: stats, utils, mblm
Suggests: rmarkdown, knitr
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-20 11:28:53 UTC; jurgenwilbert
Author: Juergen Wilbert [aut, cre]
Maintainer: Juergen Wilbert <juergen.wilbert@uni-potsdam.de>
Repository: CRAN
Date/Publication: 2023-03-21 17:00:06 UTC

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New package sc2sc with initial version 0.0.1-7
Package: sc2sc
Title: Spatial Transfer of Statistics among Spanish Census Sections
Version: 0.0.1-7
Description: Transfers/imputes statistics among Spanish spatial polygons (census sections or postal code areas) from different moments in time (2001-2022) without need of spatial files, just linking statistics to the ID codes of the spatial units. The data available in the census sections of a partition/division (cartography) into force in a moment of time is transferred to the census sections of another partition/division employing the geometric approach (also known as areal weighting or polygon overlay). References: Goerlich (2022) <doi:10.12842/WPIVIE_0322>. Pavía and Cantarino (2017a, b) <doi:10.1111/gean.12112>, <doi:10.1016/j.apgeog.2017.06.021>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-03-20 09:13:52 UTC; Jose M Pavia
Author: Perez Virgilio [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2023-03-21 16:50:02 UTC

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New package pracpac with initial version 0.1.0
Package: pracpac
Title: Practical 'R' Packaging in 'Docker'
Version: 0.1.0
Description: Streamline the creation of 'Docker' images with 'R' packages and dependencies embedded. The 'pracpac' package provides a 'usethis'-like interface to creating Dockerfiles with dependencies managed by 'renv'. The 'pracpac' functionality is described in Nagraj and Turner (2023) <doi:10.48550/arXiv.2303.07876>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, glue, fs, rprojroot, renv, pkgbuild
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://signaturescience.github.io/pracpac/, https://github.com/signaturescience/pracpac/
BugReports: https://github.com/signaturescience/pracpac/issues
NeedsCompilation: no
Packaged: 2023-03-20 11:31:12 UTC; vpnagraj
Author: Stephen Turner [aut] , VP Nagraj [cre, aut] , Signature Science, LLC. [cph]
Maintainer: VP Nagraj <nagraj@nagraj.net>
Repository: CRAN
Date/Publication: 2023-03-21 17:00:10 UTC

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New package icesVMS with initial version 1.1.4
Package: icesVMS
Version: 1.1.4
Title: Link to the ICES Vessel Monitoring System and Logbook Database Web Services
Imports: glue, httr, icesConnect (>= 1.0.0), icesVocab
Suggests: sf
Description: Links to the ICES Vessel Monitoring System (VMS) and logbook database web services <https://data.ices.dk/vms/webservices> to allow users to download summaries and data products.
License: GPL (>= 2)
URL: https://data.ices.dk/vms, https://github.com/ices-tools-prod/icesVMS
Encoding: UTF-8
Depends: R (>= 4.0)
BugReports: https://github.com/ices-tools-prod/icesVMS/issues
NeedsCompilation: no
Packaged: 2023-03-20 11:20:34 UTC; colin
Author: Colin Millar [aut, cre], Carlos Pinto [ctb]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2023-03-21 17:00:14 UTC

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Mon, 20 Mar 2023

New package reappraised with initial version 0.1.0
Package: reappraised
Title: Statistical Tools for Assessing Publication Integrity of Groups of Trials
Version: 0.1.0
Description: Takes user-provided baseline data from groups of randomised controlled data and assesses whether the observed distribution of baseline p-values, numbers of participants in each group, or categorical variables are consistent with the expected distribution, as an aid to the assessment of integrity concerns in published randomised controlled trials. References (citations in PubMed format in details of each function): Bolland MJ, Avenell A, Gamble GD, Grey A. (2016) <doi:10.1212/WNL.0000000000003387>. Bolland MJ, Gamble GD, Avenell A, Grey A, Lumley T. (2019) <doi:10.1016/j.jclinepi.2019.05.006>. Bolland MJ, Gamble GD, Avenell A, Grey A. (2019) <doi:10.1016/j.jclinepi.2019.03.001>. Bolland MJ, Gamble GD, Grey A, Avenell A. (2020) <doi:10.1111/anae.15165>. Bolland MJ, Gamble GD, Avenell A, Cooper DJ, Grey A. (2021) <doi:10.1016/j.jclinepi.2020.11.012>. Bolland MJ, Gamble GD, Avenell A, Grey A. (2021) <doi:10.1016/j.jclinepi.2021.05.002>. Bolland MJ, Gambl [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: boot, broom, data.table, dplyr, epitools, flextable, ggplot2, ggpubr, magrittr, officer, purrr, readxl, rlang, stats, tidyr, utils, vcd, vcdExtra
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-18 20:23:56 UTC; mbol006
Author: Mark Bolland [aut, cre, cph]
Maintainer: Mark Bolland <m.bolland@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2023-03-20 11:10:02 UTC

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New package bonn with initial version 1.0.2
Package: bonn
Title: Access INKAR Database
Version: 1.0.2
Description: Retrieve and import data from the INKAR database (Indikatoren und Karten zur Raum- und Stadtentwicklung Datenbank, <https://www.inkar.de>) of the Federal Office for Building and Regional Planning (BBSR) in Bonn using their JSON API.
Depends: R (>= 3.3.1)
License: GPL-3
URL: https://github.com/sumtxt/bonn/
BugReports: https://github.com/sumtxt/bonn/issues
Encoding: UTF-8
Imports: httr (>= 1.2.1), jsonlite (>= 1.6.0)
NeedsCompilation: no
Packaged: 2023-03-19 11:21:45 UTC; mmarbach
Author: Moritz Marbach [aut, cre]
Maintainer: Moritz Marbach <m.marbach@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2023-03-20 11:20:02 UTC

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New package SQMtools with initial version 1.6.2
Package: SQMtools
Title: Analyze Results Generated by the 'SqueezeMeta' Pipeline
Version: 1.6.2
Description: 'SqueezeMeta' is a versatile pipeline for the automated analysis of metagenomics/metatranscriptomics data (<https://github.com/jtamames/SqueezeMeta>). This package provides functions loading 'SqueezeMeta' results into R, filtering them based on different criteria, and visualizing the results using basic plots. The 'SqueezeMeta' project (and any subsets of it generated by the different filtering functions) is parsed into a single object, whose different components (e.g. tables with the taxonomic or functional composition across samples, contig/gene abundance profiles) can be easily analyzed using other R packages such as 'vegan' or 'DESeq2'. The methods in this package are further described in Puente-Sánchez et al., (2020) <doi:10.1186/s12859-020-03703-2>.
Author: Fernando Puente-Sanchez [aut, cre], Natalia Garcia-Garcia [aut]
Maintainer: Fernando Puente-Sanchez <fernando.puente.sanchez@slu.se>
Depends: R (>= 3.5.0)
LazyDataCompression: xz
Imports: reshape2, ggplot2, pathview, data.table
Suggests: vegan, DESeq2
License: GPL-3
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/jtamames/SqueezeMeta/issues
URL: https://github.com/jtamames/SqueezeMeta
NeedsCompilation: no
Packaged: 2023-03-17 17:46:31 UTC; fer
Repository: CRAN
Date/Publication: 2023-03-20 10:30:02 UTC

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New package Rapp with initial version 0.1.0
Package: Rapp
Title: Easily Build Command Line Applications
Version: 0.1.0
Description: Run simple 'R' scripts as command line applications, with automatic robust and convenient support for command line arguments. This package provides 'Rapp', an alternative 'R' front-end similar to 'Rscript', that enables this.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: yaml
NeedsCompilation: no
Packaged: 2023-03-17 20:11:59 UTC; tomasz
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>
Repository: CRAN
Date/Publication: 2023-03-20 10:40:06 UTC

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New package inlcolor with initial version 1.0.5
Package: inlcolor
Title: Color Schemes for the USGS Idaho National Laboratory Project Office
Version: 1.0.5
Description: A collection of functions for creating color schemes. Used to support packages and scripts written by researchers at the United States Geological Survey (USGS) Idaho National Laboratory Project Office.
Depends: R (>= 4.1)
Imports: checkmate, graphics, grDevices, rlang, scales
Suggests: connectapi, covr, datasets, dichromat, DT, httr, methods, pkgbuild, pkgdown, pkgload, rcmdcheck, rmarkdown, roxygen2, rsconnect, stats, tinytest, tinytex, tools, utils, xtable
License: CC0
URL: https://rconnect.usgs.gov/INLPO/inlcolor-main/, https://code.usgs.gov/inl/inlcolor
BugReports: https://code.usgs.gov/inl/inlcolor/-/issues
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey (USGS), an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-17 21:40:24 UTC; jfisher
Author: Jason C. Fisher [aut, cre]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2023-03-20 10:50:02 UTC

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New package gsDesign2 with initial version 1.0.7
Package: gsDesign2
Title: Group Sequential Design with Non-Constant Effect
Version: 1.0.7
Description: The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
License: GPL-3
URL: https://merck.github.io/gsDesign2/, https://github.com/Merck/gsDesign2
BugReports: https://github.com/Merck/gsDesign2/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: corpcor, dplyr, gsDesign, gt, methods, mvtnorm, npsurvSS, purrr, rlang, tibble, tidyr, utils, Rcpp
Suggests: covr, ggplot2, kableExtra, knitr, rmarkdown, testthat
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-03-17 20:12:32 UTC; zhayuji4
Author: Keaven Anderson [aut], Yilong Zhang [aut], Yujie Zhao [aut, cre], Jianxiao Yang [aut], Nan Xiao [aut], Amin Shirazi [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Xin Tong Li [ctb], Chenxiang Li [ctb], Hongtao Zhang [ctb], Yalin Zhu [ctb], [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>
Repository: CRAN
Date/Publication: 2023-03-20 10:50:06 UTC

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New package gptstudio with initial version 0.1.0
Package: gptstudio
Title: Use Large Language Models Directly in your Development Environment
Version: 0.1.0
Maintainer: James Wade <github@jameshwade.com>
Description: Large language models are readily accessible via API. This package lowers the barrier to use the API inside of your development environment. For more on the API, see <https://platform.openai.com/docs/introduction>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, cli, glue, httr, jsonlite, magrittr, purrr, rlang, rstudioapi (>= 0.12), shiny, usethis,
Suggests: bslib (>= 0.4.2), covr, mockr, testthat (>= 3.0.0), uuid, spelling, shinytest2, waiter, withr
URL: https://github.com/MichelNivard/gptstudio, https://michelnivard.github.io/gptstudio/
BugReports: https://github.com/MichelNivard/gptstudio/issues
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-17 19:16:10 UTC; james
Author: Michel Nivard [aut, cph], James Wade [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-03-20 10:40:03 UTC

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Sun, 19 Mar 2023

New package PPMiss with initial version 0.1.0
Package: PPMiss
Date: 2023-03-17
Title: Copula-Based Estimator for Long-Range Dependent Processes under Missing Data
Version: 0.1.0
Depends: R (>= 4.0.0)
Imports: copula, pracma, stats, zoo
Description: Implements the copula-based estimator for univariate long-range dependent processes, introduced in Pumi et al. (2023) <doi:10.1007/s00362-023-01418-z>. Notably, this estimator is capable of handling missing data and has been shown to perform exceptionally well, even when up to 70% of data is missing (as reported in <arXiv:2303.04754>) and has been found to outperform several other commonly applied estimators.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-03-17 18:45:55 UTC; Taiane
Author: Taiane Schaedler Prass [aut, cre, com] , Guilherme Pumi [aut, ctb]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-19 22:20:15 UTC

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Fri, 17 Mar 2023

New package openVA with initial version 1.1.1
Package: openVA
Title: Automated Method for Verbal Autopsy
Version: 1.1.1
Date: 2023-03-17
Author: Zehang Richard Li, Jason Thomas, Tyler H. McCormick, Samuel J. Clark
Maintainer: Zehang Richard Li <lizehang@gmail.com>
Depends: R (>= 3.1)
Imports: InterVA5 (>= 1.0.1), InSilicoVA (>= 1.1.3), InterVA4 (>= 1.7.3), Tariff (>= 1.0.1), ggplot2, crayon, cli, methods
Suggests: covr, nbc4va, testthat, R.rsp, knitr
Description: Implements multiple existing open-source algorithms for coding cause of death from verbal autopsies. The methods implemented include 'InterVA4' by Byass et al (2012) <doi:10.3402/gha.v5i0.19281>, 'InterVA5' by Byass at al (2019) <doi:10.1186/s12916-019-1333-6>, 'InSilicoVA' by McCormick et al (2016) <doi:10.1080/01621459.2016.1152191>, 'NBC' by Miasnikof et al (2015) <doi:10.1186/s12916-015-0521-2>, and a replication of 'Tariff' method by James et al (2011) <doi:10.1186/1478-7954-9-31> and Serina, et al. (2015) <doi:10.1186/s12916-015-0527-9>. It also provides tools for data manipulation tasks commonly used in Verbal Autopsy analysis and implements easy graphical visualization of individual and population level statistics. The 'NBC' method is implemented by the 'nbc4va' package that can be installed from <https://github.com/rrwen/nbc4va>. Note that this package was not developed by authors affiliated with the Institute for Health Metrics and Ev [...truncated...]
License: GPL-2
URL: https://github.com/verbal-autopsy-software/openVA
BugReports: https://github.com/verbal-autopsy-software/openVA/issues
VignetteBuilder: R.rsp, knitr
NeedsCompilation: no
Config/build/clean-inst-doc: FALSE
Packaged: 2023-03-17 23:03:27 UTC; zehangli
Repository: CRAN
Date/Publication: 2023-03-18 00:40:02 UTC

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New package dsb with initial version 1.0.3
Package: dsb
Title: Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq)
Version: 1.0.3
Description: This lightweight R package provides a method for normalizing and denoising protein expression data from droplet based single cell experiments. Raw protein Unique Molecular Index (UMI) counts from sequencing DNA-conjugated antibody derived tags (ADT) in droplets (e.g. 'CITE-seq') have substantial measurement noise. Our experiments and computational modeling revealed two major components of this noise: 1) protein-specific noise originating from ambient, unbound antibody encapsulated in droplets that can be accurately inferred via the expected protein counts detected in empty droplets, and 2) droplet/cell-specific noise revealed via the shared variance component associated with isotype antibody controls and background protein counts in each cell. This package normalizes and removes both of these sources of noise from raw protein data derived from methods such as 'CITE-seq', 'REAP-seq', 'ASAP-seq', 'TEA-seq', 'proteogenomic' data from the Mission Bio platform, etc. See the vignette for tut [...truncated...]
License: CC0 | file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: magrittr, limma, mclust, stats
Suggests: testthat, knitr, rmarkdown, ggplot2, cowplot, spelling
URL: https://github.com/niaid/dsb
BugReports: https://github.com/niaid/dsb/issues
VignetteBuilder: knitr, rmarkdown
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-17 16:55:52 UTC; matthewmule
Author: Matthew Mule [aut, cre] , Andrew Martins [aut] , John Tsang [pdr]
Maintainer: Matthew Mule <mattmule@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-17 23:20:02 UTC

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New package rlistings with initial version 0.2.1
Package: rlistings
Title: Clinical Trial Style Data Readout Listings
Version: 0.2.1
Date: 2023-03-01
Description: Listings are often part of the submission of clinical trial data in regulatory settings. We provide a framework for the specific formatting features often used when displaying large datasets in that context.
License: Apache License 2.0
URL: https://github.com/insightsengineering/rlistings
BugReports: https://github.com/insightsengineering/rlistings/issues
Depends: formatters (>= 0.4.0), methods, tibble
Imports: checkmate, grDevices, grid, stats, utils
Suggests: dplyr, knitr, lifecycle, testthat
VignetteBuilder: knitr
Config/Needs/website: insightsengineering/nesttemplate
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-17 18:07:40 UTC; gabrielbecker
Author: Gabriel Becker [aut, cre], Adrian Waddell [aut], Joe Zhu [aut], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Gabriel Becker <gabembecker@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-17 19:10:02 UTC

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New package sits with initial version 1.3.0
Package: sits
Version: 1.3.0
Title: Satellite Image Time Series Analysis for Earth Observation Data Cubes
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>
Description: An end-to-end toolkit for land use and land cover classification using big Earth observation data, based on machine learning methods applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>. Builds regular data cubes from collections in AWS, Microsoft Planetary Computer, Brazil Data Cube, and Digital Earth Africa using the Spatio-temporal Asset Catalog (STAC) protocol (<https://stacspec.org/> and the 'gdalcubes' R package developed by Appel and Pebesma (2019) <doi:10.3390/data4030092>. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Includes functions for quality assessment of training samples using self-organized maps as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>. Provides machine learning methods including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolutional neu [...truncated...]
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
URL: https://github.com/e-sensing/sits/, https://e-sensing.github.io/sitsbook/
BugReports: https://github.com/e-sensing/sits/issues
License: GPL-2
ByteCompile: true
LazyData: true
Imports: magrittr, yaml, dplyr (>= 1.0.0), gdalUtilities, grDevices, graphics, lubridate, parallel (>= 4.0.5), purrr (>= 0.3.0), Rcpp, rstac (>= 0.9.2-2), sf (>= 1.0), slider (>= 0.2.0), stats, terra (>= 1.5-17), tibble (>= 3.1), tidyr (>= 1.2.0), torch (>= 0.9.0), utils
Suggests: caret, dendextend, dtwclust, DiagrammeR, digest, e1071, FNN, gdalcubes (>= 0.6.0), geojsonsf, ggplot2, httr, jsonlite, kohonen (>= 3.0.11), leafem (>= 0.2.0), leaflet (>= 2.1.1), luz (>= 0.3.0), methods, mgcv, openxlsx, randomForest, randomForestExplainer, RcppArmadillo (>= 0.11), scales, stars (>= 0.6), testthat (>= 3.1.3), tmap (>= 3.3), torchopt (>= 0.1.2), xgboost, covr
Config/testthat/parallel: false
Config/testthat/start-first: cube, raster, ml
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-03-17 17:11:52 UTC; gilbertocamara
Author: Rolf Simoes [aut], Gilberto Camara [aut, cre], Felipe Souza [aut], Lorena Santos [aut], Pedro Andrade [aut], Karine Ferreira [aut], Alber Sanchez [aut], Gilberto Queiroz [aut]
Repository: CRAN
Date/Publication: 2023-03-17 18:10:02 UTC

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New package TempStable with initial version 0.1.0
Package: TempStable
Title: A Collection of Methods to Estimate Parameters of Different Tempered Stable Distributions
Version: 0.1.0
Description: A collection of methods to estimate parameters of different tempered stable distributions. Currently, there are three different tempered stable distributions to choose from: Tempered stable subordinator distribution, classical tempered stable distribution, normal tempered stable distribution. The package also provides functions to compute density and probability functions and tools to run Monte Carlo simulations. This package has already been used for the estimation of tempered stable distributions (Massing (2023) <arXiv:2303.07060>). The following references form the theoretical background for various functions in this package. References for each function are explicitly listed in its documentation: Carrasco (2017) <doi:10.1017/S0266466616000025> Feuerverger (1981) <doi:10.1111/j.2517-6161.1981.tb01143.x> Hansen et al. (1996) <doi:10.1080/07350015.1996.10524656> Hansen (1982) <doi:10.2307/1912775> Kawai & Masuda (2011) <doi:10.1016/j.cam.2010.12.01 [...truncated...]
URL: https://cedricjuessen.github.io/TempStable/
License: GPL (>= 2)
Encoding: UTF-8
Imports: doParallel (>= 1.0.17), foreach (>= 1.5.2), methods (>= 4.1.2), moments (>= 0.14.1), numDeriv (>= 2016.8-1.1), stabledist (>= 0.7-1), StableEstim (>= 2.1), rootSolve (>= 1.8.2.3), VGAM (>= 1.1-7)
Suggests: knitr (>= 1.4), rmarkdown (>= 2.17), testthat (>= 3.1.5), V8 (>= 4.2.2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-17 08:40:23 UTC; Cedric
Author: Till Massing [aut], Cedric Maximilian Juessen [cre]
Maintainer: Cedric Maximilian Juessen <cedric.juessen@vwl.uni-due.de>
Repository: CRAN
Date/Publication: 2023-03-17 17:30:04 UTC

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New package TDLM with initial version 0.1.0
Package: TDLM
Title: Systematic Comparison of Trip Distribution Laws and Models
Version: 0.1.0
Description: The main purpose of this package is to propose a rigorous framework to fairly compare trip distribution laws and models as described in Lenormand et al. (2016) <doi:10.1016/j.jtrangeo.2015.12.008>.
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: Ecume, mathjaxr, Rdpack, readr, rmarkdown, sf
Suggests: knitr
VignetteBuilder: knitr
BugReports: https://github.com/EpiVec/TDLM/issues
URL: https://epivec.github.io/TDLM/
NeedsCompilation: no
Packaged: 2023-03-17 15:09:52 UTC; maxime
Author: Maxime Lenormand [aut, cre]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>
Repository: CRAN
Date/Publication: 2023-03-17 18:00:08 UTC

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New package Multiaovbay with initial version 0.1.0
Package: Multiaovbay
Title: Classic, Nonparametric and Bayesian Two-Way Analysis of Variance Panel
Version: 0.1.0
Description: Covers several approaches to ANOVA (Analysis of Variance), specifically studying a balanced two-factor fixed-fixed ANOVA design. It consists of four sections. The first section uses a dynamic scheme to indicate which possible alternatives to follow depending on the fulfillment of the assumptions of the model. It also presents an analysis on the fulfillment of the assumptions of linearity, homoscedasticity, normality, and independence in the residuals of the model, as well as dynamic statistical graphs on the residuals of the model. The second section presents an analysis with a non-parametric approach of Kruskal Wallis. After Kruskal Wallis, a Post-Hoc analysis of multiple comparisons on the medians of the treatments is carried out. The third section presents a classical parametric ANOVA. Following classical ANOVA, a post-hoc analysis of multiple comparisons on the medians of the treatments, factor levels by Dunn's test, and statistical graphs for the treatments and factor levels are s [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, DT, shiny, shinydashboard, shinydashboardPlus, ggstatsplot, ggplot2, dplyr, tibble, BayesFactor, broom, car, highcharter, moments, reshape, nortest, purrr, shinycssloaders, PMCMRplus, stringr, waiter, htmltools, graphics, stats
SystemRequirements: GNU make
NeedsCompilation: no
Packaged: 2023-03-16 15:26:26 UTC; User
Author: Santiago Salazar-Ruiz [aut, ctb], Sebastian Poveda-Sandoval [aut, ctb], Luis Aguilar-Merino [aut, ctb], Miguel Bravo-Rosales [aut, ctb], Omar Ruiz-Barzola [aut, cre, ctb], John Borbor-Mieles [ctb], Mauricio Rojas-Campuzano [ctb], Johny Pambabay-Caler [...truncated...]
Maintainer: Omar Ruiz-Barzola <oruiz@espol.edu.ec>
Repository: CRAN
Date/Publication: 2023-03-17 17:20:02 UTC

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New package kgen with initial version 0.2.1
Package: kgen
Title: A Tool for Calculating Stoichiometric Equilibrium Constants (Ks) for Seawater
Version: 0.2.1
License: MIT + file LICENSE
Description: A unified software package simultaneously implemented in 'Python', 'R', and 'Matlab' providing a uniform and internally-consistent way of calculating stoichiometric equilibrium constants in modern and palaeo seawater as a function of temperature, salinity, pressure and the concentration of magnesium, calcium, sulphate, and fluorine.
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: rjson (>= 0.2.21), reticulate (>= 1.26), rappdirs (>= 0.3.3), checkmate (>= 2.1.0), pbapply (>= 1.7.0), data.table (>= 1.14.6)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-17 09:38:22 UTC; dm807cam
Author: Dennis Mayk [aut, cre]
Maintainer: Dennis Mayk <dm807@cantab.ac.uk>
Repository: CRAN
Date/Publication: 2023-03-17 17:30:01 UTC

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New package evolMap with initial version 1.2.33
Package: evolMap
Version: 1.2.33
Date: 2023-03-16
Title: Dynamic and Interactive Maps
Description: Dynamic and Interactive Maps with R, powered by 'leaflet' <https://leafletjs.com>. 'evolMap' generates a web page with interactive and dynamic maps to which you can add geometric entities (points, lines or colored geographic areas), and/or markers with optional links between them. The dynamic ability of these maps allows their components to evolve over a continuous period of time or by periods.
License: BSD_2_clause + file LICENSE
Depends: R (>= 3.5.0)
Imports: jsonlite, curl, sf
NeedsCompilation: no
Maintainer: Modesto Escobar <modesto@usal.es>
Encoding: UTF-8
Packaged: 2023-03-17 15:26:13 UTC; Modesto
Author: Modesto Escobar [cre, aut, cph] , Carlos Prieto [aut] , David Barrios [aut]
Repository: CRAN
Date/Publication: 2023-03-17 18:00:05 UTC

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New package visxhclust with initial version 1.1.0
Package: visxhclust
Title: A Shiny App for Visual Exploration of Hierarchical Clustering
Version: 1.1.0
Maintainer: Rafael Henkin <r.henkin@qmul.ac.uk>
Description: A Shiny application and functions for visual exploration of hierarchical clustering with numeric datasets. Allows users to iterative set hyperparameters, select features and evaluate results through various plots and computation of evaluation criteria.
License: GPL-3
URL: https://github.com/rhenkin/visxhclust
BugReports: https://github.com/rhenkin/visxhclust/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: shiny, shinyhelper, shinycssloaders, bsplus, DT, ggplot2, dplyr, readr, tidyr, cluster, fastcluster, clValid, dunn.test, RColorBrewer, dendextend, ComplexHeatmap, circlize, patchwork, knitr, kableExtra
Suggests: testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-16 14:43:48 UTC; rafaelhenkin
Author: Rafael Henkin [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-17 12:10:02 UTC

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New package TrafficBDE with initial version 0.1.2
Package: TrafficBDE
Title: Traffic Predictions Using Neural Networks
Version: 0.1.2
Date: 2023-03-17
Description: Estimate and return either the traffic speed or the car entries in the city of Thessaloniki using historical traffic data. It's used in transport pilot of the 'BigDataEurope' project. There are functions for processing these data, training a neural network, select the most appropriate model and predict the traffic speed or the car entries for a selected time date.
Author: Kleanthis Koupidis [aut, cre], Aikaterini Chatzopoulou [aut], Charalampos Bratsas [aut], Panagiotis Tzenos [dtc], Josep Maria Salanova [dtc]
Maintainer: Kleanthis Koupidis <koupidis.okfgr@gmail.com>
URL: https://github.com/okgreece/TrafficBDE
BugReports: https://github.com/okgreece/TrafficBDE/issues
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
Imports: caret, data.table, DescriptiveStats.OBeu, dplyr, lubridate, RCurl, stats, zoo
Suggests: devtools, knitr, neuralnet, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-17 11:35:12 UTC; akis_
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-03-17 12:10:13 UTC

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New package MBNMAtime with initial version 0.2.3
Package: MBNMAtime
Title: Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models
Version: 0.2.3
Language: en-GB
Date: 2023-03-13
Maintainer: Hugo Pedder <hugopedder@gmail.com>
Description: Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) <doi:10.1002/jrsm.1351>. The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and 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.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: knitr, grDevices, stats, graphics, utils, grid, gridExtra, dplyr (>= 0.7.4), R2jags (>= 0.5-7), rjags (>= 4-8), reshape2 (>= 1.4.3), magrittr (>= 1.5), checkmate (>= 1.8.5), Rdpack (>= 0.10-1)
Suggests: scales (>= 1.0.0), overlapping (>= 1.5.0), ggplot2 (>= 2.2.1), ggdist (>= 2.4.0), igraph (>= 1.1.2), rgeos (>= 0.5-2), crayon (>= 1.3.4), splines (>= 4.0.2), Hmisc (>= 4.4-1), lspline(>= 1.0-0), zoo (>= 1.8-8), rmarkdown, png, testthat (>= 1.0.2), RColorBrewer (>= 1.1-2), mcmcplots (>= 0.4.3)
SystemRequirements: JAGS (>= 4.3.0) (http://mcmc-jags.sourceforge.net)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr, rmarkdown
URL: https://hugaped.github.io/MBNMAtime/
NeedsCompilation: no
Packaged: 2023-03-17 10:14:20 UTC; hp17602
Author: Hugo Pedder [aut, cre] , Nicky Welton [ctb, rev], Sofia Dias [ctb, rev], Meg Bennetts [ctb, rev], Martin Boucher [ctb, rev]
Repository: CRAN
Date/Publication: 2023-03-17 12:30:13 UTC

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New package VedicDateTime with initial version 0.1.2
Package: VedicDateTime
Title: Vedic Calendar System
Version: 0.1.2
Description: Provides platform for Vedic calendar system having several functionalities to facilitate conversion between Gregorian and Vedic calendar systems, and helpful in examining its impact in the time series analysis domain. The background is described in Neeraj Dhanraj Bokde et al. (2021) <doi:10.48550/arXiv.2111.03441>, Karanam L. Ramakumar et al. (2011) <https:archive.org/details/PanchangamCalculations>, K. S. Charak et al. (2012, ISBN:8190100807), Satish BD et al. (2013) <https:github.com/webresh/drik-panchanga>.
URL: https://www.neerajbokde.in/viggnette/2022-09-05-VedicDateTime
BugReports: https://github.com/prajwalkpatil/VedicDateTime/issues
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), qpdf, formatR, spelling, tinytex
VignetteBuilder: knitr
Imports: swephR
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-13 19:51:16 UTC; Prajwal Patil
Author: Neeraj Dhanraj Bokde [aut, cre, cph], Prajwal Kailasnath Patil [aut], Saradindu Sengupta [aut], Andres Elias Feijoo Lorenzo [aut]
Maintainer: Neeraj Dhanraj Bokde <neerajdhanraj@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-17 11:40:06 UTC

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Thu, 16 Mar 2023

New package textBoxPlacement with initial version 1.0
Package: textBoxPlacement
Version: 1.0
Date: 2023-03-15
Title: Compute a Non-Overlapping Layout of Text Boxes to Label Multiple Overlain Plots
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Author: Barry Zeeberg [aut, cre]
Depends: R (>= 4.2.0)
LazyData: true
Imports: graphics, stats, grDevices
Description: Compute a non-overlapping layout of text boxes to label multiple overlain curves. For each curve, iteratively search for an adjacent x,y position for the text box that does not overlap with the other curves. If this process fails, then offsets are computed to add to the y values for each curve, that results in sufficient space to add all of the text labels.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-16 02:09:21 UTC; barryzeeberg
Repository: CRAN
Date/Publication: 2023-03-16 19:20:02 UTC

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New package LCMSQA with initial version 1.0.0
Package: LCMSQA
Title: Liquid Chromatography/Mass Spectrometry (LC/MS) Quality Assessment
Version: 1.0.0
Description: The goal of 'LCMSQA' is to make it easy to check the quality of liquid chromatograph/mass spectrometry (LC/MS) experiments using a 'shiny' application. This package provides interactive data visualizations for quality control (QC) samples, including total ion current chromatogram (TIC), base peak chromatogram (BPC), mass spectrum, extracted ion chromatogram (XIC), and feature detection results from internal standards or known metabolites.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: bslib, bsplus, data.table, DT, ggplot2, plotly, shiny, shinycssloaders, shinyjs, shinyWidgets, xcms, MSnbase
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-15 22:16:50 UTC; jaehyun
Author: Jaehyun Joo [aut, cre], Blanca Himes [aut]
Maintainer: Jaehyun Joo <jaehyunjoo@outlook.com>
Repository: CRAN
Date/Publication: 2023-03-16 19:10:02 UTC

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New package FertNet with initial version 0.1.1
Package: FertNet
Title: Process Data from the Social Networks and Fertility Survey
Version: 0.1.1
Description: Processes data from The Social Networks and Fertility Survey, downloaded from <https://dataarchive.lissdata.nl>, including correcting respondent errors and transforming network data into network objects to facilitate analyses and visualisation.
Encoding: UTF-8
Imports: haven (>= 2.5.1)
Suggests: testthat (>= 3.0.0), tidygraph (>= 1.2.2)
License: CC BY 4.0
NeedsCompilation: no
Packaged: 2023-03-16 09:10:43 UTC; gert
Author: Stulp Gert [aut, cre]
Maintainer: Stulp Gert <g.stulp@rug.nl>
Repository: CRAN
Date/Publication: 2023-03-16 19:20:08 UTC

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New package compindexR with initial version 0.1.0
Package: compindexR
Title: Calculates Composite Index
Version: 0.1.0
Description: It uses the first-order sensitivity index to measure whether the weights assigned by the creator of the composite indicator match the actual importance of the variables. Moreover, the variance inflation factor is used to reduce the set of correlated variables. In the case of a discrepancy between the importance and the assigned weight, the script determines weights that allow adjustment of the weights to the intended impact of variables. If the optimised weights are unable to reflect the desired importance, the highly correlated variables are reduced, taking into account variance inflation factor. The final outcome of the script is the calculated value of the composite indicator based on optimal weights and a reduced set of variables, and the linear ordering of the analysed objects.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/olgnaydn/compindexR
BugReports: https://github.com/olgnaydn/compindexR/issues
Depends: R (>= 4.0.0), car (>= 3.1.0), pracma(>= 2.3.8), dplyr(>= 1.0.7), NlcOptim(>= 0.6)
NeedsCompilation: no
Packaged: 2023-03-16 13:16:06 UTC; olgunaydin
Author: Olgun Aydin [cre] , Marta Kuc-Czarnecka [aut] , Michal Pietrzak [aut]
Maintainer: Olgun Aydin <olgun.aydin@pg.edu.pl>
Repository: CRAN
Date/Publication: 2023-03-16 19:20:05 UTC

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New package ridgregextra with initial version 0.1.0
Package: ridgregextra
Title: Ridge Regression Parameter Estimation
Version: 0.1.0
Description: It is a package that provides alternative approach for finding optimum parameters of ridge regression. This package focuses on finding the ridge parameter value k which makes the variance inflation factors closest to 1, while keeping them above 1 as addressed by Michael Kutner, Christopher Nachtsheim, John Neter, William Li (2004, ISBN:978-0073108742). Moreover, the package offers end-to-end functionality to find optimum k value and presents the detailed ridge regression results. Finally it shows three sets of graphs consisting k versus variance inflation factors, regression coefficients and standard errors of them.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/filizkrdg/ridgregextra
BugReports: https://github.com/filizkrdg/ridgregextra/issues
Depends: R (>= 4.0.0), plotly (>= 4.9.0), isdals (>= 3.0.0), mctest (>= 1.3.0), stats(>= 4.0.0), graphics(>= 4.0.0)
NeedsCompilation: no
Packaged: 2023-03-15 18:28:34 UTC; olgunaydin
Author: Filiz Karadag [aut] , Hakan Savas Sazak [aut] , Olgun Aydin [cre]
Maintainer: Olgun Aydin <olgun.aydin@pg.edu.pl>
Repository: CRAN
Date/Publication: 2023-03-16 19:00:02 UTC

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New package qfratio with initial version 1.0.0
Package: qfratio
Title: Moments of Ratios of Quadratic Forms Using Recursion
Version: 1.0.0
Date: 2023-03-15
Description: Evaluates moments of ratios (and products) of quadratic forms in normal variables, specifically using recursive algorithms developed by Bao et al. (2013) <doi:10.1016/j.jmva.2013.03.002> and Hillier et al. (2014) <doi:10.1017/S0266466613000364>. Originally developed as a supplement to Watanabe (2022) <doi:10.1101/2022.11.02.514929> for evaluating average evolvability measures in evolutionary quantitative genetics, but can be used for a broader class of moments. Generating functions for these moments are also closely related to the top-order zonal and invariant polynomials of matrix arguments.
License: GPL (>= 3)
URL: https://github.com/watanabe-j/qfratio
BugReports: https://github.com/watanabe-j/qfratio/issues
Imports: Rcpp, MASS
LinkingTo: Rcpp, RcppEigen
Suggests: gsl, mvtnorm, graphics, stats, testthat (>= 3.0.0), rlang (>= 0.4.7), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2023-03-15 18:54:54 UTC; jw2098
Author: Junya Watanabe [aut, cre, cph]
Maintainer: Junya Watanabe <jw2098@cam.ac.uk>
Repository: CRAN
Date/Publication: 2023-03-16 19:00:06 UTC

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New package PlotBivInvGaus with initial version 0.1.0
Package: PlotBivInvGaus
Title: Density Contour Plot for Bivariate Inverse Gaussian Distribution
Version: 0.1.0
Description: Create the density contour plot for bivariate inverse Gaussian distribution for given non negative random variables.
License: GPL-2
Maintainer: Bhushan Saswade <bhushansaswade@gmail.com>
Encoding: UTF-8
Depends: plotly
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-15 17:05:42 UTC; Admin
Author: Kavita Mane [aut], Bhushan Saswade [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-16 11:30:02 UTC

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New package gsdensity with initial version 0.1.2
Package: gsdensity
Title: Density-Based Gene Set Specificity Evaluation
Version: 0.1.2
Description: Analysis frameworks for pathway heterogeneity and pathway activity evaluation in single-cell data, including scRNA-seq data and spatial genomics data.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.0)
Imports: Seurat,CelliD,dnet,supraHex,Rgraphviz,infotheo,anticlust,multimode,philentropy,RANN,future.apply,MASS,reshape2,dplyr,igraph,Matrix,stats
NeedsCompilation: no
Packaged: 2023-03-15 15:13:11 UTC; liang
Author: Qingnan, Liang [aut, cre, cph], Ken Chen [aut, cph]
Maintainer: "Qingnan, Liang" <qliang3@mdanderson.org>
Repository: CRAN
Date/Publication: 2023-03-16 11:10:02 UTC

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New package FACT with initial version 0.1.0
Package: FACT
Title: Feature Attributions for ClusTering
Version: 0.1.0
Description: We present 'FACT' (Feature Attributions for ClusTering), a framework for unsupervised interpretation methods that can be used with an arbitrary clustering algorithm. The package is capable of re-assigning instances to clusters (algorithm agnostic), preserves the integrity of the data and does not introduce additional models. 'FACT' is inspired by the principles of model-agnostic interpretation in supervised learning. Therefore, some of the methods presented are based on 'iml', a R Package for Interpretable Machine Learning by Christoph Molnar, Giuseppe Casalicchio, and Bernd Bischl (2018) <doi:10.21105/joss.00786>.
License: LGPL-3
BugReports: https://github.com/henrifnk/FACT/issues
Imports: checkmate, data.table, ggplot2, gridExtra, prediction, R6, iml
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), caret, covr, knitr, mlr3, mlr3cluster, rmarkdown, FuzzyDBScan, factoextra, patchwork, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-15 18:35:17 UTC; henri_funk
Author: Henri Funk [aut, cre], Christian Scholbeck [aut, ctb], Giuseppe Casalicchio [aut, ctb]
Maintainer: Henri Funk <Henri.Funk@stat.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2023-03-16 11:30:05 UTC

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New package DNAmixturesLite with initial version 0.0-1
Package: DNAmixturesLite
Title: Statistical Inference for Mixed Traces of DNA (Lite-Version)
Version: 0.0-1
Date: 2023-03-15
Description: Statistical methods for DNA mixture analysis. This package is a lite-version of the 'DNAmixtures' package to allow users without a 'HUGIN' software license to experiment with the statistical methodology. While the lite-version aims to provide the full functionality it is noticeably less efficient than the original 'DNAmixtures' package. For details on implementation and methodology see <https://dnamixtures.r-forge.r-project.org/>.
Depends: gRaven
Imports: methods, Rsolnp, numDeriv, Matrix, gRbase
License: GPL (>= 2)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-15 18:49:55 UTC; theg
Author: Therese Graversen [aut, cre]
Maintainer: Therese Graversen <theg@itu.dk>
Repository: CRAN
Date/Publication: 2023-03-16 11:30:08 UTC

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New package checker with initial version 0.1.2
Package: checker
Title: Checks 'R' Configuration Set Up Correctly Before Class
Version: 0.1.2
Description: Checks that students have the correct version of 'R', 'R' packages, 'RStudio' and other dependencies installed, and that the recommended 'RStudio' configuration has been applied.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/richardjtelford/checker/
BugReports: https://github.com/richardjtelford/checker/issues
Imports: yaml, rstudioapi, cli
Suggests: quarto, glue
NeedsCompilation: no
Packaged: 2023-03-15 16:03:49 UTC; gbsrt
Author: Richard J. Telford [aut, cre]
Maintainer: Richard J. Telford <richard.telford@uib.no>
Repository: CRAN
Date/Publication: 2023-03-16 11:20:02 UTC

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New package text2sdgData with initial version 0.1.0
Package: text2sdgData
Title: Contains the Trained 'text2sdg' Ensemble Model Data
Version: 0.1.0
Date: 2023-3-15
Description: This is a companion package for the 'text2sdg' package. It contains the trained ensemble models needed by the 'detect_sdg' function from the 'text2sdg' package. See Wulff, Meier and Mata (2023) <arXiv:2301.11353> and Meier, Wulff and Mata (2021) <arXiv:2110.05856> for reference.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: bzip2
URL: https://github.com/psychobas/text2sdgData
BugReports: https://github.com/psychobas/text2sdgData/issues
NeedsCompilation: no
Packaged: 2023-03-16 07:09:18 UTC; dominik
Author: Dominik S. Meier [aut, cre]
Maintainer: Dominik S. Meier <dominikmeier@outlook.com>
Repository: CRAN
Date/Publication: 2023-03-16 10:40:02 UTC

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New package politicsR with initial version 0.1.0
Package: politicsR
Title: Calculating Political System Metrics
Version: 0.1.0
Maintainer: Denisson Silva <denissoncsol@gmail.com>
Description: A toolbox to facilitate the calculation of political system indicators for researchers. This package offers a variety of basic indicators related to electoral systems, party systems, elections, and parliamentary studies, as well as others. Main references are: Loosemore and Hanby (1971) <doi:10.1017/S000712340000925X>; Gallagher (1991) <doi:10.1016/0261-3794(91)90004-C>; Laakso and Taagepera (1979) <doi:10.1177/001041407901200101>; Rae (1968) <doi:10.1177/001041406800100305>; Hirschmaņ (1945) <ISBN:0-520-04082-1>; Kesselman (1966) <doi:10.2307/1953769>; Jones and Mainwaring (2003) <doi:10.1177/13540688030092002>; Rice (1925) <doi:10.2307/2142407>; Pedersen (1979) <doi:10.1111/j.1475-6765.1979.tb01267.x>; SANTOS (2002) <ISBN:85-225-0395-8>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: ineq,
BugReports: https://github.com/silvadenisson/politicsR/issues
Depends: R (>= 3.3.0)
NeedsCompilation: no
Packaged: 2023-03-14 20:55:42 UTC; denisson
Author: Denisson Silva [aut, cre] , Willber Nascimento [aut] , Fernando Meireles [aut] , Jose Alexandre [aut]
Repository: CRAN
Date/Publication: 2023-03-16 11:00:03 UTC

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Wed, 15 Mar 2023

New package via with initial version 0.1.0
Package: via
Title: Virtual Arrays
Version: 0.1.0
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>
Description: The base class 'VirtualArray' is defined, which acts as a wrapper around lists allowing users to fold arbitrary sequential data into n-dimensional, R-style virtual arrays. The derived 'XArray' class is defined to be used for homogeneous lists that contain a single class of objects. The 'RasterArray' and 'SfArray' classes enable the use of stacked spatial data instead of lists.
License: CC BY 4.0
Date: 2023-03-15
BugReports: https://github.com/adamkocsis/via
Encoding: UTF-8
LazyData: false
Depends: R (>= 4.0.0)
Imports: methods
NeedsCompilation: no
Suggests: tinytest, knitr, rmarkdown, terra, sp, sf
Packaged: 2023-03-15 13:24:33 UTC; root
Author: Adam T. Kocsis [cre, aut] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Repository: CRAN
Date/Publication: 2023-03-15 19:40:02 UTC

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New package ordbetareg with initial version 0.7.1
Package: ordbetareg
Title: Ordered Beta Regression Models with 'brms'
Version: 0.7.1
Description: Implements ordered beta regression models, which are for modeling continuous variables with upper and lower bounds, such as survey sliders, dose-response relationships and indexes. For more information, see Kubinec (2022) <doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.
BugReports: https://github.com/saudiwin/ordbetareg_pack/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5), brms (>= 2.18.0), stats
Imports: transformr, dplyr, ggplot2 (>= 3.4.0), gganimate, tidyr
Suggests: rmarkdown, knitr, modelsummary, marginaleffects (>= 0.10.0), haven, stringr, Hmisc, collapse, ggthemes, glmmTMB, mice, bayestestR, kableExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-15 08:58:51 UTC; rmk7
Author: Robert Kubinec [aut, cre]
Maintainer: Robert Kubinec <rmk7@nyu.edu>
Repository: CRAN
Date/Publication: 2023-03-15 18:10:02 UTC

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New package BayesianPlatformDesignTimeTrend with initial version 1.0.0
Package: BayesianPlatformDesignTimeTrend
Title: Simulate and Analyse Bayesian Platform Trial with Time Trend
Version: 1.0.0
Author: Ziyan Wang [aut, cre]
Maintainer: Ziyan Wang <zw7g20@soton.ac.uk>
Description: Simulating the multi-arm multi-stage or platform trial with Bayesian approach using the 'rstan' package, which provides the R interface for the Stan. This package supports fixed ratio and Bayesian adaptive randomization approaches for randomization. Additionally, it allows for the study of time trend problems in platform trials. There are demos available for a multi-arm multi-stage trial with two different null scenarios, as well as for Bayesian trial cutoff screening. The Bayesian adaptive randomisation approaches are described in: Trippa et al. (2012) <doi:10.1200/JCO.2011.39.8420> and Wathen et al. (2017) <doi:10.1177/1740774517692302>. The randomisation algorithm is described in: Zhao W <doi:10.1016/j.cct.2015.06.008>. The analysis methods of time trend effect in platform trial are described in: Saville et al. (2022) <doi:10.1177/17407745221112013> and Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>.
URL: https://github.com/ZXW834/PlatFormDesignTime
Encoding: UTF-8
Biarch: true
Depends: R (>= 4.0.0), rstan (>= 2.18.1)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstantools (>= 2.3.0), ggplot2 (>= 3.4.0), doParallel (>= 1.0.17), boot (>= 1.3-28), matrixStats (>= 0.61.0), stringr (>= 1.4.0), foreach (>= 1.5.1), iterators (>= 1.0.13), reshape (>= 0.8.8), BiocManager (>= 1.30.19)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), StanHeaders (>= 2.18.0), rstan (>= 2.18.1)
SystemRequirements: GNU make, C++17
License: MIT + file LICENSE
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2023-03-15 12:56:05 UTC; ziyanwang
Repository: CRAN
Date/Publication: 2023-03-15 18:40:02 UTC

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New package bandsfdp with initial version 1.0.0
Package: bandsfdp
Title: Compute Upper Prediction Bounds on the FDP in Competition-Based Setups
Version: 1.0.0
Suggests: fdpbandsdata
Description: Implements functions that calculate upper prediction bounds on the false discovery proportion (FDP) in the list of discoveries returned by competition-based setups, implementing Ebadi et al. (2022) <arXiv:2302.11837>. Such setups include target-decoy competition (TDC) in computational mass spectrometry and the knockoff construction in linear regression (note this package typically uses the terminology of TDC). Included is the standardized (TDC-SB) and uniform (TDC-UB) bound on TDC's FDP, and the simultaneous standardized and uniform bands. Requires pre-computed Monte Carlo statistics available at <https://github.com/uni-Arya/fdpbandsdata>. This data can be downloaded by running the command 'devtools::install_github("uni-Arya/fdpbandsdata")' in R and restarting R after installation. The size of this data is roughly 81Mb.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/uni-Arya/bandsfdp
BugReports: https://github.com/uni-Arya/bandsfdp/issues
NeedsCompilation: no
Packaged: 2023-03-15 09:18:54 UTC; aeba3842
Author: Arya Ebadi [aut, cre], Dong Luo [aut], Jack Freestone [aut], William Stafford Noble [aut], Uri Keich [aut]
Maintainer: Arya Ebadi <aeba3842@uni.sydney.edu.au>
Repository: CRAN
Date/Publication: 2023-03-15 18:10:13 UTC

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New package HCmodelSets with initial version 1.1.3
Package: HCmodelSets
Title: Regression with a Large Number of Potential Explanatory Variables
Version: 1.1.3
Author: H. H. Hoeltgebaum
Maintainer: H. Battey <h.battey@imperial.ac.uk>
BugReports: https://github.com/hhhelfer/HCmodelSets/issues
Description: Software for performing the reduction, exploratory and model selection phases of the procedure proposed by Cox, D.R. and Battey, H.S. (2017) <doi:10.1073/pnas.1703764114> for sparse regression when the number of potential explanatory variables far exceeds the sample size. The software supports linear regression, likelihood-based fitting of generalized linear regression models and the proportional hazards model fitted by partial likelihood.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0), mvtnorm, ggplot2, survival,
NeedsCompilation: no
Suggests: R.rsp
VignetteBuilder: R.rsp
Packaged: 2023-03-15 08:55:28 UTC; helfer
Repository: CRAN
Date/Publication: 2023-03-15 18:00:09 UTC

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New package traveltimeR with initial version 1.1.4
Package: traveltimeR
Title: Interface to 'Travel Time' API
Version: 1.1.4
Description: 'Travel Time' API <https://docs.traveltime.com/api/overview/introduction> helps users find locations by journey time rather than using ‘as the crow flies’ distance. Time-based searching gives users more opportunities for personalisation and delivers a more relevant search.
Maintainer: TravelTime <frontend@traveltime.com>
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, httr, jsonlite, RProtoBuf
URL: https://github.com/traveltime-dev/traveltime-sdk-r
BugReports: https://github.com/traveltime-dev/traveltime-sdk-r/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-03-15 08:01:55 UTC; eivydaskocinas
Author: TravelTime [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-15 08:20:02 UTC

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New package GIFT with initial version 1.0.0
Package: GIFT
Title: Access to the Global Inventory of Floras and Traits (GIFT)
Version: 1.0.0
Description: Retrieving regional plant checklists, species traits and distributions, and environmental data from the Global Inventory of Floras and Traits (GIFT). More information about the GIFT database can be found at <https://gift.uni-goettingen.de/about> and the map of available floras can be visualized at <https://gift.uni-goettingen.de/map>. The API and associated queries can be accessed according the following scheme: <https://gift.uni-goettingen.de/api/extended/index2.0.php?query=env_raster>.
Depends: R (>= 3.5.3)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ape, dplyr, jsonlite, phytools, purrr, sf, stats, tidyr, utils
Suggests: covr, ggplot2, kableExtra, knitr, patchwork, testthat (>= 3.0.0), RColorBrewer, rmarkdown, rnaturalearth, rnaturalearthdata, scales
URL: https://github.com/BioGeoMacro/GIFT, https://biogeomacro.github.io/GIFT/
BugReports: https://github.com/BioGeoMacro/GIFT/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-14 20:17:45 UTC; Pierre
Author: Patrick Weigelt [aut, cre] , Pierre Denelle [aut]
Maintainer: Patrick Weigelt <pweigel@uni-goettingen.de>
Repository: CRAN
Date/Publication: 2023-03-15 08:10:02 UTC

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New package ENMTools with initial version 1.1.0
Package: ENMTools
Title: Analysis of Niche Evolution using Niche and Distribution Models
Version: 1.1.0
Date: 2023-03-01
Encoding: UTF-8
Maintainer: Dan Warren <dan.l.warren@gmail.com>
Description: Constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.
License: GPL-2
Imports: knitr, ggplot2, gridExtra, lhs, magrittr, ENMeval, sp, spatstat.geom, spatstat.random, ggpubr, forcats, terra, raster (>= 3.6.3)
Depends: dismo, R (>= 2.10)
Suggests: testthat, hypervolume, leaflet, mgcv, ecospat (>= 3.2.1), randomForest, ranger, caret, CalibratR, ape, ResourceSelection, reshape2, vip, pdp, fastshap, viridis, progress, rmarkdown
NeedsCompilation: no
Packaged: 2023-03-15 04:00:07 UTC; danw
Author: Dan Warren [aut, cre] , Russell Dinnage [aut]
Repository: CRAN
Date/Publication: 2023-03-15 08:10:06 UTC

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New package toweranNA with initial version 0.1.0
Package: toweranNA
Title: A Method for Handling Missing Values in Prediction Applications
Version: 0.1.0
Maintainer: Norm Matloff <nsmatloff@ucdavis.edu>
Depends: R (>= 3.6.0),regtools (>= 0.8.0),rmarkdown
Imports: FNN, pdist, stats
License: GPL (>= 2)
Description: Non-imputational method for handling missing values in a prediction context, meaning that not only are there missing values in the training dataset, but also some values may be missing in future cases to be predicted. Based on the notion of regression averaging (Matloff (2017, ISBN: 9781498710916)).
Encoding: UTF-8
URL: https://github.com/matloff/toweranNA
BugReports: https://github.com/matloff/toweranNA/issues
NeedsCompilation: no
Packaged: 2023-03-14 19:41:18 UTC; normanmatloff
Author: Norm Matloff [aut, cre] , Pete Mohanty [aut]
Repository: CRAN
Date/Publication: 2023-03-15 08:00:02 UTC

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New package SomaDataIO with initial version 6.0.0
Package: SomaDataIO
Title: Input/Output 'SomaScan' Data
Version: 6.0.0
Description: Load and export 'SomaScan' data via the 'SomaLogic Operating Co., Inc.' proprietary text file called an ADAT ('*.adat'). For file format see <https://github.com/SomaLogic/SomaLogic-Data/blob/master/README.md>. The package also exports auxiliary functions for manipulating, wrangling, and extracting relevant information from an ADAT object once in memory.
License: MIT + file LICENSE
URL: https://somalogic.github.io/SomaDataIO/, https://somalogic.com
BugReports: https://github.com/SomaLogic/SomaDataIO/issues
Depends: R (>= 4.1.0)
Imports: cli, crayon, dplyr (>= 1.0.6), lifecycle (>= 1.0.0), magrittr (>= 2.0.1), methods, readxl (>= 1.3.1), tibble (>= 3.1.2), tidyr (>= 1.1.3), usethis (>= 2.0.1)
Suggests: Biobase, ggplot2, knitr, recipes, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Copyright: SomaLogic Operating Co., Inc. 2023
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
LazyLoad: true
NeedsCompilation: no
Packaged: 2023-03-14 17:12:08 UTC; sfield
Author: Stu Field [aut, cre] , SomaLogic Operating Co., Inc. [cph, fnd]
Maintainer: Stu Field <stu.g.field@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-15 08:00:11 UTC

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New package shiny.blueprint with initial version 0.2.0
Package: shiny.blueprint
Title: Palantir's 'Blueprint' for 'Shiny' Apps
Version: 0.2.0
Description: Easily use 'Blueprint', the popular 'React' library from Palantir, in your 'Shiny' app. 'Blueprint' provides a rich set of UI components for creating visually appealing applications and is optimized for building complex, data-dense web interfaces. This package provides most components from the underlying library, as well as special wrappers for some components to make it easy to use them in 'R' without writing 'JavaScript' code.
License: LGPL-3
Encoding: UTF-8
VignetteBuilder: knitr
Imports: checkmate, htmltools, shiny, shiny.react (>= 0.2.2), utils
Suggests: knitr, lintr (>= 3.0.0), purrr, rcmdcheck, rmarkdown, shiny.router
NeedsCompilation: no
Packaged: 2023-03-14 14:54:26 UTC; kamil
Author: Kamil Zyla [aut, cre], Filip Akkad [aut], Filip Stachura [aut], Pawel Chabros [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>
Repository: CRAN
Date/Publication: 2023-03-15 07:30:02 UTC

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New package pharmaverse with initial version 0.0.2
Package: pharmaverse
Title: Navigate 'Pharmaverse'
Version: 0.0.2
Description: The 'pharmaverse' is a set of packages that compose multiple pathways through clinical data generation and reporting in the pharmaceutical industry. This package is designed to guide users to our work-spaces on 'GitHub', 'Slack' and 'LinkedIn' as well as our website and examples. Learn more about the 'pharmaverse' at <https://pharmaverse.org>.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr
URL: https://github.com/pharmaverse/pharmaverse-pkg, https://pharmaverse.org
BugReports: https://github.com/pharmaverse/pharmaverse-pkg/issues
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-14 18:46:36 UTC; aikp
Author: Ari Siggaard Knoph [aut, cre], pharmaverse [cph]
Maintainer: Ari Siggaard Knoph <aikp@novonordisk.com>
Repository: CRAN
Date/Publication: 2023-03-15 08:00:05 UTC

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New package dataclass with initial version 0.1.8
Package: dataclass
Title: Easily Create Structured Lists or Data Frames with Input Validation
Version: 0.1.8
Description: Easily define templated lists and data frames with an associated validator function for each element. This could be considered a very-minimal S7-like standard aimed at validating data frames and lists; two data structures the majority of R programmers know well.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, rlang, glue, magrittr, tibble, cli
NeedsCompilation: no
Packaged: 2023-03-14 20:44:30 UTC; cjwal
Suggests: testthat (>= 3.0.0)
Author: Chris Walker [aut, cre, cph]
Maintainer: Chris Walker <walkerjameschris@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-15 08:00:08 UTC

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Tue, 14 Mar 2023

New package admiralophtha with initial version 0.1.0
Package: admiralophtha
Title: ADaM in R Asset Library - Ophthalmology
Version: 0.1.0
Description: Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
License: Apache License (>= 2)
URL: https://pharmaverse.github.io/admiralophtha/, https://github.com/pharmaverse/admiralophtha/
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5)
Imports: admiral, admiraldev, assertthat, dplyr, lubridate, magrittr, purrr, rlang, stringr, hms, tidyr, tidyselect, lifecycle
Suggests: admiral.test, devtools, diffdf, lintr, pkgdown, testthat, knitr, methods, miniUI, rmarkdown, roxygen2, spelling, styler, tibble, usethis, covr, DT
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-14 11:55:24 UTC; mancinie
Author: Edoardo Mancini [aut, cre], Gordon Miller [aut], Ritika Aggarwal [aut], Jane Gao [aut], William Holmes [aut], Rachel Linacre [aut], Lucy Palmen [aut], Nandini R Thampi [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>
Repository: CRAN
Date/Publication: 2023-03-14 19:40:02 UTC

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New package lmw with initial version 0.0.1
Package: lmw
Title: Linear Model Weights
Version: 0.0.1
Description: Computes the implied weights of linear regression models for estimating average causal effects and provides diagnostics based on these weights. These diagnostics rely on the analyses in Chattopadhyay and Zubizarreta (2022) <doi:10.1093/biomet/asac058> where several regression estimators are represented as weighting estimators, in connection to inverse probability weighting. 'lmw' provides tools to diagnose representativeness, balance, extrapolation, and influence for these models, clarifying the target population of inference. Tools are also available to simplify estimating treatment effects for specific target populations of interest.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/ngreifer/lmw
BugReports: https://github.com/ngreifer/lmw/issues
Depends: R (>= 3.5.0)
Imports: sandwich (>= 3.0-2), backports (>= 1.4.1)
Suggests: MatchIt (>= 4.3.2)
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-13 21:16:58 UTC; NoahGreifer
Author: Ambarish Chattopadhyay [aut] , Noah Greifer [aut, cre] , Jose Zubizarreta [aut]
Maintainer: Noah Greifer <ngreifer@iq.harvard.edu>
Repository: CRAN
Date/Publication: 2023-03-14 18:40:02 UTC

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New package hbamr with initial version 1.0.5
Package: hbamr
Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Version: 1.0.5
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological positions of survey respondents and political actors on a common scale using positional survey data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform other versions by a considerable margin both in terms of yielding meaningful posterior distributions for respondent positions and in terms of recovering true respondent positions in simulations. The package contains functions for preparing data, fitting models, extracting estimates, plotting key results, and comparing models using cross-validation. The models in this package are described in: Bølstad (forthcoming) ''Hierarchical Bayesian Aldrich-McKelvey Scaling'', Political Analysis.
License: GPL (>= 3)
URL: https://github.com/jbolstad/hbamr/
Depends: R (>= 3.4.0)
Imports: dplyr, ggplot2, loo, matrixStats, methods, parallel, pbmcapply, plyr, RColorBrewer, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlang, rstan (>= 2.18.1), rstantools (>= 2.2.0), stats, tidyr
Suggests: data.table, knitr, rmarkdown
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Biarch: true
Encoding: UTF-8
LazyData: true
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-13 17:24:48 UTC; boelstad
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>
Repository: CRAN
Date/Publication: 2023-03-14 18:30:02 UTC

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New package eiExpand with initial version 1.0.5
Package: eiExpand
Title: Utilities for Expanding Functionality of 'eiCompare'
Version: 1.0.5
Description: Augments the 'eiCompare' package's Racially Polarized Voting (RPV) functionality to streamline analyses and visualizations used to support voting rights and redistricting litigation. The package implements methods described in Barreto, M., Collingwood, L., Garcia-Rios, S., & Oskooii, K. A. (2022). "Estimating Candidate Support in Voting Rights Act Cases: Comparing Iterative EI and EI-R×C Methods" <doi:10.1177/0049124119852394>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: dplyr, tidyr, tidyselect (>= 1.2.0), stringr, ggplot2, ggmap, viridis, sf, magrittr, rlang
Suggests: knitr, markdown, rmarkdown, roxygen2, testthat
Encoding: UTF-8
Maintainer: Rachel Carroll <rachelcarroll4@gmail.com>
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2023-03-13 21:52:22 UTC; rachelcarroll
Author: Rachel Carroll [aut, cre], Loren Collingwood [aut]
Repository: CRAN
Date/Publication: 2023-03-14 18:50:08 UTC

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New package randomizeR with initial version 3.0.0
Package: randomizeR
Title: Randomization for Clinical Trials
Version: 3.0.0
Maintainer: Ralf-Dieter Hilgers <rhilgers@ukaachen.de>
Description: This tool enables the user to choose a randomization procedure based on sound scientific criteria. It comprises the generation of randomization sequences as well the assessment of randomization procedures based on carefully selected criteria. Furthermore, 'randomizeR' provides a function for the comparison of randomization procedures.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.6.0), methods, ggplot2, plotrix, survival, mvtnorm
Imports: pracma, cubature, mstate, purrr, rlang, magrittr, dplyr, coin, PwrGSD
Suggests: testthat, knitr
NeedsCompilation: no
Packaged: 2023-03-14 13:04:34 UTC; denisr
Author: David Schindler [aut], Diane Uschner [aut], Denis Razsolkov [ctb], Dimitar Mihaylov [ctb], Marcia Viviane Rueckbeil [ctb], Martin Manolov [ctb], Thi Mui Pham [ctb], Michael Martini [ctb], Ralf-Dieter Hilgers [aut, ths, cre], Nicole Heussen [aut, ths]
Repository: CRAN
Date/Publication: 2023-03-14 15:40:03 UTC

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New package Crossover with initial version 0.1-21
Package: Crossover
Title: Analysis and Search of Crossover Designs
Version: 0.1-21
Author: Kornelius Rohmeyer
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>
Description: Generate and analyse crossover designs from combinatorial or search algorithms as well as from literature and a GUI to access them.
Depends: R (>= 3.0.2), ggplot2
Imports: MASS, crossdes (>= 1.1-1), xtable, methods, Matrix, rJava (>= 0.8-3), CommonJavaJars (>= 1.0.5), Rcpp (>= 0.10.3), RcppArmadillo (>= 0.2.0), JavaGD, multcomp, stats4, digest
Suggests: knitr, testthat, nlme
LinkingTo: Rcpp (>= 0.10.3), RcppArmadillo (>= 0.2.0)
SystemRequirements: Java (>= 5.0)
License: GPL-2
VignetteBuilder: knitr
URL: https://github.com/kornl/Crossover/wiki
BugReports: https://github.com/kornl/Crossover/issues
NeedsCompilation: yes
Packaged: 2023-03-14 14:05:06 UTC; kornel
Repository: CRAN
Date/Publication: 2023-03-14 14:30:05 UTC

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New package snha with initial version 0.1.3
Package: snha
Title: Creating Correlation Networks using St. Nicolas House Analysis
Version: 0.1.3
Date: 2023-05-13
Maintainer: Detlef Groth <dgroth@uni-potsdam.de>
Description: Create correlation networks using St. Nicolas House Analysis ('SNHA'). The package can be used for visualizing multivariate data similar to Principal Component Analysis or Multidimensional Scaling using a ranking approach. In contrast to 'MDS' and 'PCA', 'SNHA' uses a network approach to explore interacting variables. For details see 'Hermanussen et. al. 2021', <doi:10.3390/ijerph18041741>.
URL: https://github.com/mittelmark/snha
BugReports: https://github.com/mittelmark/snha/issues
Depends: R (>= 3.5.0)
Imports: MASS
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
LazyData: yes
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-13 15:45:59 UTC; groth
Author: Detlef Groth [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-14 11:40:02 UTC

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New package multilevLCA with initial version 1.0
Package: multilevLCA
Version: 1.0
Date: 2023-03-08
Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications.
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.9), magrittr, MASS, dplyr, tidyr, klaR, foreach, parallel
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 2)
LazyData: true
NeedsCompilation: yes
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>
Packaged: 2023-03-13 14:01:27 UTC; roberto
Repository: CRAN
Date/Publication: 2023-03-14 11:20:02 UTC

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New package folders with initial version 0.0.6
Package: folders
Title: Standardized Folder Names
Version: 0.0.6
URL: https://github.com/deohs/folders
BugReports: https://github.com/deohs/folders/issues
Description: Supports the use of standardized folder names.
Depends: R (>= 3.6)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: config (>= 0.3), here (>= 0.1), yaml (>= 2.2.1)
Suggests: testthat (>= 2.3.2)
NeedsCompilation: no
Packaged: 2023-03-13 17:10:32 UTC; high
Author: Brian High [aut, cre], University of Washington [cph, fnd]
Maintainer: Brian High <bhigh@live.com>
Repository: CRAN
Date/Publication: 2023-03-14 11:40:05 UTC

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New package banditpam with initial version 1.0
Package: banditpam
Title: Almost Linear-Time k-Medoids Clustering
Version: 1.0
Description: Interface to a high-performance implementation of k-medoids clustering described in Tiwari, Zhang, Mayclin, Trun and Piech (2020) "BanditPAM: Almost Linear Time k-medoids Clustering via Multi-Armed Bandits" <https://proceedings.neurips.cc/paper/2020/file/73b817090081cef1bca77232f4532c5d-Paper.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/motiwari/BanditPAM
SystemRequirements: C++17
Depends: R (>= 3.5.0)
Suggests: ggplot2, knitr, MASS, rmarkdown, tinytest
LinkingTo: Rcpp, RcppArmadillo
Imports: R6, Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-13 14:53:05 UTC; naras
Author: Balasubramanian Narasimhan [aut, cre], Mo Tiwari [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>
Repository: CRAN
Date/Publication: 2023-03-14 11:30:02 UTC

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New package GeSciLiVis with initial version 1.1.0
Package: GeSciLiVis
Title: Gene-Based Publication Activity Visualiser
Version: 1.1.0
Description: Visualising publication activity per gene based on a gene list and a user-defined set of keywords utilising R 'rentrez' <https://cran.r-project.org/package=rentrez/> that provides 'NCBI' <https://www.ncbi.nlm.nih.gov> database search like in 'PubMed' <https://pubmed.ncbi.nlm.nih.gov>. It summarises the retrieved number of publications for each gene in an overview bar plot (saved as 'png' file) and by choice a summary table (as 'csv') that including the most recent 100 'PubMed' IDs and publication titles.
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: rentrez (>= 1.2.3), biomaRt (>= 2.54.0), biomartr (>= 1.0.2), grDevices (>= 4.2.2), graphics (>= 4.2.2), utils (>= 4.2.2)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-13 08:43:51 UTC; Marina
Author: Marina Leer [aut, cre, cph] , George Soultoukis [ctb] , Masoome Oveisi [ctb], German Research Foundation [fnd], German Ministry of Education and Research [fnd], State of Brandenburg [fnd]
Maintainer: Marina Leer <marina.leer@dife.de>
Repository: CRAN
Date/Publication: 2023-03-14 11:00:02 UTC

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Mon, 13 Mar 2023

New package hht with initial version 2.1.6
Package: hht
Title: The Hilbert-Huang Transform: Tools and Methods
Version: 2.1.6
Date: 2023-03-12
Depends: R (>= 3.1.1)
Imports: EMD (>= 1.5.5), fields (>= 6.7.6)
Description: Builds on the EMD package to provide additional tools for empirical mode decomposition (EMD) and Hilbert spectral analysis. It also implements the ensemble empirical decomposition (EEMD) and the complete ensemble empirical mode decomposition (CEEMD) methods to avoid mode mixing and intermittency problems found in EMD analysis. The package comes with several plotting methods that can be used to view intrinsic mode functions, the HHT spectrum, and the Fourier spectrum.
License: GPL (>= 3)
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>
Author: Daniel C. Bowman [aut, cre], Jonathan M. Lees [ctb]
NeedsCompilation: no
Repository: CRAN
Packaged: 2023-03-13 01:59:52 UTC; dantayaga
Date/Publication: 2023-03-13 14:30:06 UTC

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New package greencrab.toolkit with initial version 0.1
Package: greencrab.toolkit
Title: Run 'Stan' Models to Interpret Green Crab Monitoring Assessments
Version: 0.1
Maintainer: Abigail G. Keller <agkeller@berkeley.edu>
Description: These Bayesian models written in the 'Stan' probabilistic language can be used to interpret green crab trapping and environmental DNA monitoring data, either independently or jointly. Detailed model information is found in Keller (2022) <doi:10.1002/eap.2561>.
License: GPL-3
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.2.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2023-03-12 17:11:04 UTC; abby
Author: Abigail G. Keller [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-13 14:30:10 UTC

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New package GeoAdjust with initial version 1.0.0
Package: GeoAdjust
Title: Accounting for Random Displacements of True GPS Coordinates of Data
Version: 1.0.0
Description: The purpose is to account for the random displacements (jittering) of true survey household cluster center coordinates in geostatistical analyses of Demographic and Health Surveys program (DHS) data. Adjustment for jittering can be implemented either in the spatial random effect, or in the raster/distance based covariates, or in both. Detailed information about the methods behind the package functionality can be found in two preprints. Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2022) <arXiv:2202.11035v2>. Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2022) <arXiv:2211.07442v1>.
Encoding: UTF-8
Suggests: INLA, knitr, rmarkdown, testthat (>= 3.0.0), rgdal, maptools
Depends: R (>= 3.5)
LinkingTo: TMB, RcppEigen
License: GPL (>= 2)
Imports: raster, sp, stats, rgeos, SUMMER, Matrix, ggplot2, fields, geosphere, TMB
Additional_repositories: https://inla.r-inla-download.org/R/stable/
NeedsCompilation: yes
Packaged: 2023-03-11 00:34:29 UTC; umuta
Author: Umut Altay [cre, aut], John Paige [aut], Geir-Arne Fuglstad [aut], Andrea Riebler [aut]
Maintainer: Umut Altay <altayumut.ua@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-13 14:10:06 UTC

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New package webtrackR with initial version 0.0.1
Package: webtrackR
Title: Analysing Web Tracking Data and Online News Behaviour
Version: 0.0.1
Description: Implements data structures and methods to work with web tracking data. This includes data preprocessing steps, methods to construct audience networks as described in Mangold & Scharkow (2020) <doi:10.1080/19312458.2020.1724274>, and metrics of news audience polarization described in Mangold & Scharkow (2022) <doi:10.1080/19312458.2022.2085249>.
URL: https://github.com/schochastics/webtrackR
BugReports: https://github.com/schochastics/webtrackR/issues
Depends: R (>= 3.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, tibble, igraph, urltools, utils
LazyData: true
Suggests: backbone, stats, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-10 08:45:48 UTC; david
Author: David Schoch [aut, cre] , Frank Mangold [aut] , Sebastian Stier [aut]
Maintainer: David Schoch <david@schochastics.net>
Repository: CRAN
Date/Publication: 2023-03-13 13:30:02 UTC

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New package walkscore with initial version 0.1.2
Package: walkscore
Title: A Tidy Interface to the 'Walk Score' API
Version: 0.1.2
Description: Easily collect walk scores, bike scores, and transit scores (where available) from the 'Walk Score' API <https://www.walkscore.com/professional/api.php>, a proprietary API that assigns locations a walkability score between 0 and 100.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, tidyr
URL: https://github.com/chris31415926535/walkscore
BugReports: https://github.com/chris31415926535/walkscore/issues
NeedsCompilation: no
Packaged: 2023-03-10 19:40:07 UTC; christopher
Author: Christopher Belanger [aut, cre, cph]
Maintainer: Christopher Belanger <christopher.a.belanger@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-13 13:50:02 UTC

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New package sparvaride with initial version 0.1.0
Package: sparvaride
Title: Variance Identification in Sparse Factor Analysis
Version: 0.1.0
Description: This is an implementation of the algorithm described in Section 3 of Hosszejni and Frühwirth-Schnatter (2022) <doi:10.48550/arXiv.2211.00671>. The algorithm is used to verify that the counting rule CR(r,1) holds for the sparsity pattern of the transpose of a factor loading matrix. As detailed in Section 2 of the same paper, if CR(r,1) holds, then the idiosyncratic variances are generically identified. If CR(r,1) does not hold, then we do not know whether the idiosyncratic variances are identified or not.
License: GPL (>= 3)
Encoding: UTF-8
BuildResaveData: best
VignetteBuilder: knitr
BugReports: https://github.com/hdarjus/sparvaride/issues
URL: https://hdarjus.github.io/sparvaride/
Depends: R (>= 4.1)
Imports: Rcpp
LinkingTo: RcppArmadillo, Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2023-03-10 12:14:03 UTC; dhosszej
Author: Darjus Hosszejni [aut, cre] , Sylvia Fruehwirth-Schnatter [ths]
Maintainer: Darjus Hosszejni <darjus.hosszejni@wu.ac.at>
Repository: CRAN
Date/Publication: 2023-03-13 13:30:05 UTC

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New package scribe with initial version 0.1.0
Package: scribe
Title: Command Argument Parsing
Version: 0.1.0
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>
Description: A base dependency solution with basic argument parsing for use with 'Rscript'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.6)
Imports: methods, utils
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.1.0), withr
VignetteBuilder: knitr
URL: https://jmbarbone.github.io/scribe/
NeedsCompilation: no
Packaged: 2023-03-08 02:21:04 UTC; jordan
Author: Jordan Mark Barbone [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-03-13 13:20:02 UTC

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New package RolWinWavCor with initial version 0.4.0
Package: RolWinWavCor
Title: Estimate Rolling Window Wavelet Correlation Between Two Time Series
Version: 0.4.0
Maintainer: Josue M. Polanco-Martinez <josue.m.polanco@gmail.com>
Depends: R (>= 3.6.0), waveslim
Description: Estimates and plots as a heat map the rolling window wavelet correlation (RWWC) coefficients statistically significant (within the 95% CI) between two regular (evenly spaced) time series. 'RolWinWavCor' also plots at the same graphic the time series under study. The 'RolWinWavCor' was designed for financial time series, but this software can be used with other kinds of data (e.g., climatic, ecological, geological, etc). The functions contained in 'RolWinWavCor' are highly flexible since these contains some parameters to personalize the time series under analysis and the heat maps of the rolling window wavelet correlation coefficients. Moreover, we have also included a data set (named EU_stock_markets) that contains nine European stock market indices to exemplify the use of the functions contained in 'RolWinWavCor'. Methods derived from Polanco-Martínez et al (2018) <doi:10.1016/j.physa.2017.08.065>).
License: GPL (>= 2)
Repository: CRAN
Encoding: UTF-8
LazyData: true
Date/Publication: 2023-03-13 13:20:05 UTC
NeedsCompilation: no
Packaged: 2023-03-09 21:31:48 UTC; jomopo
Author: Josue M. Polanco-Martinez [aut, cph, cre]

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New package RmdConcord with initial version 0.1.4
Package: RmdConcord
Title: Concordances for 'R Markdown'
Version: 0.1.4
Description: Supports concordances in 'R Markdown' documents. This currently allows the original source location in the '.Rmd' file of errors detected by 'HTML tidy' to be found more easily, and potentially allows forward and reverse search in 'HTML' and 'LaTeX' documents produced from 'R Markdown'. The 'LaTeX' support has been included in the most recent development version of the 'patchDVI' package.
License: GPL-2
Encoding: UTF-8
URL: https://github.com/dmurdoch/RmdConcord, https://dmurdoch.github.io/RmdConcord/
BugReports: https://github.com/dmurdoch/RmdConcord/issues
Imports: rmarkdown, tools, knitr (>= 1.42)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-03-10 18:11:06 UTC; murdoch
Author: Duncan Murdoch [aut, cre], Heather Turner [ctb]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-13 13:50:09 UTC

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New package mlbplotR with initial version 1.0.1
Package: mlbplotR
Title: Create 'ggplot2' and 'gt' Visuals with Major League Baseball Logos
Version: 1.0.1
Description: Tools to help visualize Major League Baseball analysis in 'ggplot2' and 'gt'. You provide team/player information and 'mlbplotR' will transform that information into team colors, logos, or player headshots for graphics.
URL: https://github.com/camdenk/mlbplotR, https://camdenk.github.io/mlbplotR/
BugReports: https://github.com/camdenk/mlbplotR/issues
Imports: cli, data.table, ggplot2, gt, lifecycle, magick, magrittr, rlang, scales
Suggests: base64enc, dplyr, ggtext, gridtext, knitr, rsvg, rmarkdown, rstudioapi, sjmisc
Encoding: UTF-8
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-03-10 14:30:54 UTC; camdenkay
Author: Sebastian Carl [aut], Camden Kay [aut, cre, cph]
Maintainer: Camden Kay <camden.kay23@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-13 13:40:02 UTC

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New package coconots with initial version 1.1
Package: coconots
Title: Convolution-Closed Models for Count Time Series
Version: 1.1
Date: 2023-3-9
Description: Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modeled via Poisson and Generalized Poisson innovations. Regression effects can be modelled via time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x>, Gneiting and Raftery (2007) <doi:10.1198/016214506000001437> and, Tsay (1992) <doi:10.2307/2347612>.
Imports: Rcpp, forecast, numDeriv, HMMpa, stats, ggplot2, utils, matrixStats, JuliaConnectoR
LazyData: true
LinkingTo: Rcpp, StanHeaders (>= 2.21.0), RcppParallel (>= 5.0.1)
Depends: R (>= 3.5.0)
Suggests: covr, testthat (>= 3.0.0)
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2023-03-10 14:10:23 UTC; manuel
Author: Manuel Huth [aut, cre], Robert C. Jung [aut], Andy Tremayne [aut]
Maintainer: Manuel Huth <manuel.huth@yahoo.com>
Repository: CRAN
Date/Publication: 2023-03-13 13:30:12 UTC

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New package plspm with initial version 0.5.0
Package: plspm
Title: Partial Least Squares Path Modeling (PLS-PM)
Version: 0.5.0
Date: 2023-03-12
Description: Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi, Chatelin, Lauro (2005) <doi:10.1016/j.csda.2004.03.005>, analysis for both metric and non-metric data, as well as REBUS analysis, Esposito Vinzi, Trinchera, Squillacciotti, and Tenenhaus (2008) <doi:10.1002/asmb.728>.
URL: https://github.com/gastonstat/plspm
BugReports: https://github.com/gastonstat/plspm/issues
Depends: R (>= 3.0.1)
Imports: tester, turner, diagram, shape, amap, methods
Suggests: FactoMineR, ggplot2, reshape, testthat, knitr
VignetteBuilder: knitr
License: GPL-3
LazyLoad: yes
NeedsCompilation: no
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut], Laura Trinchera [aut], Giorgio Russolillo [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Encoding: UTF-8
Packaged: 2023-03-13 09:52:25 UTC; fbertran
Repository: CRAN
Date/Publication: 2023-03-13 11:20:02 UTC

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New package plsdepot with initial version 0.2.0
Package: plsdepot
Title: Partial Least Squares (PLS) Data Analysis Methods
Version: 0.2.0
Date: 2023-03-12
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Description: Different methods for PLS analysis of one or two data tables such as Tucker's Inter-Battery, NIPALS, SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis. The main reference for this software is the awesome book (in French) 'La Regression PLS: Theorie et Pratique' by Michel Tenenhaus.
Depends: R (>= 2.15.1)
Suggests: FactoMineR
License: GPL-3
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-13 09:26:12 UTC; fbertran
Repository: CRAN
Date/Publication: 2023-03-13 10:00:02 UTC

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New package metatools with initial version 0.1.5
Package: metatools
Title: Enable the Use of 'metacore' to Help Create and Check Dataset
Version: 0.1.5
Description: Uses the metadata information stored in 'metacore' objects to check and build metadata associated columns.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, metacore (>= 0.0.4), purrr, rlang, stringr, tidyr, tibble, magrittr
Suggests: testthat (>= 3.0.0), haven, covr, safetyData, admiral.test
URL: https://pharmaverse.github.io/metatools/
BugReports: https://github.com/pharmaverse/metatools/issues
NeedsCompilation: no
Packaged: 2023-03-13 09:03:49 UTC; christinafillmore
Author: Christina Fillmore [aut, cre] , Mike Stackhouse [aut] , GlaxoSmithKline LLC [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Atorus Research LLC [cph, fnd]
Maintainer: Christina Fillmore <christina.e.fillmore@gsk.com>
Repository: CRAN
Date/Publication: 2023-03-13 10:00:05 UTC

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Sat, 11 Mar 2023

New package medfate with initial version 2.9.3
Package: medfate
Title: Mediterranean Forest Simulation
Version: 2.9.3
Date: 2023-03-10
Description: Simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
License: GPL (>= 2) | LGPL (>= 3)
URL: https://emf-creaf.github.io/medfate/
LazyLoad: yes
Depends: R (>= 3.5.0)
Imports: ggplot2 (>= 3.0.0), meteoland (>= 0.8.1), Rcpp (>= 1.0.6), shiny
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: Rcpp, meteoland
Encoding: UTF-8
NeedsCompilation: yes
BugReports: https://github.com/emf-creaf/medfate/issues
LazyData: true
Packaged: 2023-03-10 13:28:51 UTC; miquel
Author: Miquel De Caceres [aut, cre, cph] , Victor Granda [aut] , Antoine Cabon [aut] , Jordi Martinez-Vilalta [ctb] , Maurizio Mencuccini [ctb] , Nicolas Martin-StPaul [ctb] , Aitor Ameztegui [ctb] , Shengli Huang [ctb] , John Burkardt [cph]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-11 09:40:09 UTC

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New package CPE with initial version 1.6.3
Package: CPE
Version: 1.6.3
Date: 2023-03-10
Title: Concordance Probability Estimates in Survival Analysis
Author: Qianxing Mo [aut, cre], Mithat Gonen [ctb], Glenn Heller [ctb]
Depends: R (>= 4.1.0),survival,rms
Maintainer: Qianxing Mo <qianxing.mo@moffitt.org>
Description: Concordance probability estimate (CPE) is a commonly used performance measure in survival analysis that evaluates the predictive accuracy of a survival model. It measures how well a model can distinguish between pairs of individuals with different survival times. Specifically, it calculate the proportion of all pairs of individuals whose predicted survival times are correctly ordered.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-03-10 22:01:59 UTC; 4468133
Repository: CRAN
Date/Publication: 2023-03-11 09:40:15 UTC

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Fri, 10 Mar 2023

New package nichevol with initial version 0.1.20
Package: nichevol
Title: Tools for Ecological Niche Evolution Assessment Considering Uncertainty
Version: 0.1.20
Author: Marlon E. Cobos [aut, cre], Hannah L. Owens [aut], A. Townsend Peterson [aut]
Maintainer: Marlon E. Cobos <manubio13@gmail.com>
Date: 2023-03-09
Description: A collection of tools that allow users to perform critical steps in the process of assessing ecological niche evolution over phylogenies, with uncertainty incorporated explicitly in reconstructions. The method proposed here for ancestral reconstruction of ecological niches characterizes species' niches using a bin-based approach that incorporates uncertainty in estimations. Compared to other existing methods, the approaches presented here reduce risk of overestimation of amounts and rates of ecological niche evolution. The main analyses include: initial exploration of environmental data in occurrence records and accessible areas, preparation of data for phylogenetic analyses, executing comparative phylogenetic analyses of ecological niches, and plotting for interpretations. Details on the theoretical background and methods used can be found in: Owens et al. (2020) <doi:10.1002/ece3.6359>, Peterson et al. (1999) <doi:10.1126/science.285.5431.1265>, Soberón and Peterson (2005 [...truncated...]
URL: https://github.com/marlonecobos/nichevol
BugReports: https://github.com/marlonecobos/nichevol/issues
Imports: castor (>= 1.4), geiger (>= 2.0), graphics (>= 3.6), grDevices (>= 3.6), stringr (>= 1.4), stats (>= 3.6), terra (>= 1.6), utils (>= 3.6)
Suggests: knitr(>= 1.25), phytools (>= 0.6)
Depends: ape (>= 5.3), R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-10 19:28:24 UTC; marlon
Repository: CRAN
Date/Publication: 2023-03-10 23:20:02 UTC

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New package Wats with initial version 1.0.1
Package: Wats
Title: Wrap Around Time Series Graphics
Description: Wrap-around Time Series (WATS) plots for interrupted time series designs with seasonal patterns. Longitudinal trajectories are shown in both Cartesian and polar coordinates. In many scenarios, a WATS plot more clearly shows the existence and effect size of of an intervention. This package accompanies "Graphical Data Analysis on the Circle: Wrap-Around Time Series Plots for (Interrupted) Time Series Designs" by Rodgers, Beasley, & Schuelke (2014) <doi:10.1080/00273171.2014.946589>; see 'citation("Wats")' for details.
Version: 1.0.1
URL: https://ouhscbbmc.github.io/Wats/, https://github.com/OuhscBbmc/Wats
BugReports: https://github.com/OuhscBbmc/Wats/issues
Depends: R (>= 4.2.0)
Imports: colorspace, dplyr, ggplot2, grid, lubridate, RColorBrewer, rlang, testit, tibble, zoo
Suggests: boot, covr, devtools, knitr, scales, testthat
License: MIT + file LICENSE
LazyData: TRUE
VignetteBuilder: knitr
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-10 14:43:45 UTC; wibeasley
Author: Will Beasley [aut, cre, cph] , Joe Rodgers [aut], Matthew Schuelke [ctb], Ronnie Coleman [ctb], Mark Joseph Lachowicz [ctb], Oklahoma Shared Clinical and Translational Resource [fnd]
Maintainer: Will Beasley <wibeasley@hotmail.com>
Repository: CRAN
Date/Publication: 2023-03-10 22:50:05 UTC

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New package metapro with initial version 1.5.11
Package: metapro
Title: Robust P-Value Combination Methods
Version: 1.5.11
Author: Sora Yoon <ysora90@gmail.com>
Maintainer: Sora Yoon <ysora90@gmail.com>
Description: The meta-analysis is performed to increase the statistical power by integrating the results from several experiments. The p-values are often combined in meta-analysis when the effect sizes are not available. The 'metapro' R package provides not only traditional methods (Becker BJ (1994, ISBN:0-87154-226-9), Mosteller, F. & Bush, R.R. (1954, ISBN:0201048523) and Lancaster HO (1949, ISSN:00063444)), but also new method named weighted Fisher’s method we developed. While the (weighted) Z-method is suitable for finding features effective in most experiments, (weighted) Fisher’s method is useful for detecting partially associated features. Thus, the users can choose the function based on their purpose. Yoon et al. (2021) "Powerful p-value combination methods to detect incomplete association" <doi:10.1038/s41598-021-86465-y>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: metap, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-10 02:17:55 UTC; SoraYoon
Repository: CRAN
Date/Publication: 2023-03-10 22:40:02 UTC

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New package tramvs with initial version 0.0-4
Package: tramvs
Title: Optimal Subset Selection for Transformation Models
Version: 0.0-4
Description: Greedy optimal subset selection for transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291> ) based on the abess algorithm (Zhu et al., 2020, <doi:10.1073/pnas.2014241117> ). Applicable to models from packages 'tram' and 'cotram'.
Depends: R (>= 4.0), tram (>= 0.6-1)
Imports: stats, variables, methods, cotram
Suggests: abess, tramnet, colorspace, knitr, mlt, TH.data, survival, ordinal
License: GPL-3
Encoding: UTF-8
URL: http://ctm.R-forge.R-project.org
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-10 09:43:14 UTC; stigler
Author: Lucas Kook [aut, cre], Sandra Siegfried [ctb], Torsten Hothorn [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@uzh.ch>
Repository: CRAN
Date/Publication: 2023-03-10 14:20:02 UTC

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New package cellKey with initial version 1.0.0
Package: cellKey
Date: 2023-03-09
Title: Consistent Perturbation of Statistical Frequency- And Magnitude Tables
Version: 1.0.0
Description: Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf> which was extended and enhanced by Giessing and Tent (2019) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.
Depends: R(>= 4.1), sdcHierarchies (>= 0.19.3), data.table
Imports: rlang, methods, digest (>= 0.6.23), sdcTable (>= 0.32.2), ptable (>= 1.0.0), cli, utils, yaml, parallel
License: GPL-2
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <bernhard.meindl@statistik.gv.at>
LazyData: true
LazyDataCompression: xz
BugReports: https://github.com/sdcTools/userSupport/issues
URL: https://github.com/sdcTools/cellKey
Packaged: 2023-03-10 07:52:10 UTC; meindl
Repository: CRAN
Date/Publication: 2023-03-10 09:50:11 UTC

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New package eventPred with initial version 0.0.1
Package: eventPred
Title: Event Prediction
Version: 0.0.1
Description: Predicts enrollment and events at the design stage using assumed enrollment and treatment-specific time-to-event models, or at the analysis stage using blinded data and specified enrollment and time-to-event models through simulations.
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr (>= 1.0.8), rlang (>= 1.0.6), grid (>= 4.2.2), ggplot2 (>= 3.3.5), survival (>= 3.4-0), patchwork (>= 1.1.2), scales (>= 1.2.1), lubridate (>= 1.9.2), splines (>= 4.2.2), Matrix (>= 1.5-1), mvtnorm (>= 1.1-3), rstpm2 (>= 1.6.1), tmvtnsim (>= 0.1.3), erify (>= 0.4.0), stats (>= 3.4.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-10 00:40:35 UTC; kaife
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-10 08:10:02 UTC

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New package ABM with initial version 0.2
Package: ABM
Title: Agent Based Model Simulation Framework
Version: 0.2
Date: 2023-03-09
Description: A high-performance, flexible and extensible framework to develop continuous-time agent based models. Its high performance allows it to simulate millions of agents efficiently. Agents are defined by their states (arbitrary R lists). The events are handled in chronological order. This avoids the multi-event interaction problem in a time step of discrete-time simulations, and gives precise outcomes. The states are modified by provided or user-defined events. The framework provides a flexible and customizable implementation of state transitions (either spontaneous or caused by agent interactions), making the framework suitable to apply to epidemiology and ecology, e.g., to model life history stages, competition and cooperation, and disease and information spread. The agent interactions are flexible and extensible. The framework provides random mixing and network interactions, and supports multi-level mixing patterns. It can be easily extended to other interactions such as inter- and intra [...truncated...]
License: GPL (>= 2)
URL: https://github.com/junlingm/ABM
BugReports: https://github.com/junlingm/ABM/issues
Imports: R6, Rcpp
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-03-10 00:50:09 UTC; jma
Author: Junling Ma [aut, cre]
Maintainer: Junling Ma <junlingm@uvic.ca>
Repository: CRAN
Date/Publication: 2023-03-10 08:10:05 UTC

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New package sr with initial version 0.1.0
Package: sr
Title: Smooth Regression - The Gamma Test and Tools
Version: 0.1.0
Description: Finds causal connections in precision data, finds lags and embeddings in time series, guides training of neural networks and other smooth models, evaluates their performance, gives a mathematically grounded answer to the over-training problem. Smooth regression is based on the Gamma test, which measures smoothness in a multivariate relationship. Causal relations are smooth, noise is not. 'sr' includes the Gamma test and search techniques that use it. References: Evans & Jones (2002) <doi:10.1098/rspa.2002.1010>, AJ Jones (2004) <doi:10.1007/s10287-003-0006-1>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: ggplot2, dplyr, progress, RANN, stats, vdiffr
Suggests: knitr, magrittr, nnet, rmarkdown, testthat (>= 3.0.0)
URL: https://smoothregression.com, https://github.com/haythorn/sr/
BugReports: https://github.com/haythorn/sr/issues
NeedsCompilation: no
Packaged: 2023-03-09 20:56:16 UTC; wayne
Author: Wayne Haythorn [aut, cre], Antonia Jones [aut] , Sam Kemp [ctb]
Maintainer: Wayne Haythorn <support@smoothregression.com>
Repository: CRAN
Date/Publication: 2023-03-10 08:00:03 UTC

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New package saeHB.ME.beta with initial version 0.1.0
Package: saeHB.ME.beta
Title: SAE with Measurement Error using HB under Beta Distribution
Version: 0.1.0
Description: Implementation of Small Area Estimation (SAE) using Hierarchical Bayesian (HB) Method when auxiliary variable measured with error under Beta Distribution. The 'rjags' package is employed to obtain parameter estimates. For the references, see J.N.K & Molina (2015) <doi:10.1002/9781118735855>, Ybarra and Sharon (2008) <doi:10.1093/biomet/asn048>, and Ntzoufras (2009, ISBN-10: 1118210352).
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ratihrodliyah/saeHB.ME.beta
BugReports: https://github.com/ratihrodliyah/saeHB.ME.beta/issues
NeedsCompilation: no
Imports: coda, graphics, grDevices, rjags, stats, stringr
Suggests: covr, knitr, R.rsp, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
Author: Azka Ubaidillah [aut], Ratih Rodliyah [aut, cre]
Maintainer: Ratih Rodliyah <ratihrodliyah2@gmail.com>
VignetteBuilder: R.rsp, knitr
Packaged: 2023-03-09 14:50:55 UTC; User
Repository: CRAN
Date/Publication: 2023-03-10 07:50:02 UTC

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New package openmeteo with initial version 0.1.1
Package: openmeteo
Title: Retrieve Weather Data from the Open-Meteo API
Version: 0.1.1
Description: A client for the Open-Meteo API that retrieves Open-Meteo weather data in a tidy format. No API key is required. The API specification is located at <https://open-meteo.com/en/docs>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: httr, tibble, tidyr, tibblify, dplyr, yaml, lutz, testthat (>= 3.0.0)
Suggests: httptest
NeedsCompilation: no
Packaged: 2023-03-09 12:24:27 UTC; tom
Author: Tom Pisel [aut, cre, cph]
Maintainer: Tom Pisel <mail@tompisel.com>
Repository: CRAN
Date/Publication: 2023-03-10 07:50:06 UTC

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New package nanoarrow with initial version 0.1.0.1
Package: nanoarrow
Title: Interface to the 'nanoarrow' 'C' Library
Version: 0.1.0.1
Description: Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/apache/arrow-nanoarrow
BugReports: https://github.com/apache/arrow-nanoarrow/issues
Suggests: arrow (>= 9.0.0), blob, hms, rlang, testthat (>= 3.0.0), tibble, vctrs, withr
Config/build/bootstrap: TRUE
NeedsCompilation: yes
Packaged: 2023-03-09 16:53:01 UTC; dewey
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>
Repository: CRAN
Date/Publication: 2023-03-10 08:00:06 UTC

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New package evilDice with initial version 1.0
Package: evilDice
Title: Test Dice Sets for Intransitive Properties
Version: 1.0
Date: 2023-03-08
Description: Checks to see whether a supplied set of dice (their face values) are transitive, returning pair-win and group-roll win probabilities. Expected returns (mean magnitude of win/loss) are presented as well.
License: LGPL-3
Imports: graphics
NeedsCompilation: no
Packaged: 2023-03-09 14:40:42 UTC; cgw
Author: Carl Witthoft [aut, cre]
Maintainer: Carl Witthoft <cellocgw@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-10 07:50:09 UTC

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Thu, 09 Mar 2023

New package TapeS with initial version 0.12.0
Package: TapeS
Title: Tree Taper Curves and Sorting Based on 'TapeR'
Version: 0.12.0
Description: Providing new german-wide 'TapeR' Models and functions for their evaluation. Included are the most common tree species in Germany (Norway spruce, Scots pine, European larch, Douglas fir, Silver fir as well as European beech, Common/Sessile oak and Red oak). Many other species are mapped to them so that 36 tree species / groups can be processed. Single trees are defined by species code, one or multiple diameters in arbitrary measuring height and tree height. The functions then provide information on diameters along the stem, bark thickness, height of diameters, volume of the total or parts of the trunk and total and component above-ground biomass. It is also possible to calculate assortments from the taper curves. For diameter and volume estimation, uncertainty information is given.
Depends: R (>= 3.5.0)
License: BSD_2_clause + file LICENSE
URL: https://gitlab.com/vochr/tapes
Encoding: UTF-8
LazyData: true
Imports: methods, utils, TapeR (>= 0.5.2), Rcpp (>= 1.0.5),
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, rbenchmark, rBDAT (>= 0.10.0), RODBC
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-08 16:46:41 UTC; Christian.Vonderach
Author: Christian Vonderach [aut, cre], Edgar Kublin [aut], Gerald Kaendler [aut]
Maintainer: Christian Vonderach <christian.vonderach@forst.bwl.de>
Repository: CRAN
Date/Publication: 2023-03-09 09:50:09 UTC

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New package lorem with initial version 1.0.0
Package: lorem
Title: Generate Lorem Ipsum Text
Version: 1.0.0
Description: Quickly generate lorem ipsum placeholder text. Easy to integrate in RMarkdown documents. Includes an RStudio addin to insert lorem ipsum into the current document.
License: MIT + file LICENSE
URL: https://github.com/gadenbuie/lorem, http://pkg.garrickadenbuie.com/lorem/
BugReports: https://github.com/gadenbuie/lorem/issues
Depends: R (>= 2.10)
Imports: htmltools, knitr, stats
Suggests: rstudioapi, testthat (>= 3.0.0), withr
Config/Needs/website: gadenbuie/grkgdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-09 04:09:28 UTC; garrick
Author: Garrick Aden-Buie [aut, cre]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2023-03-09 09:40:06 UTC

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New package bayesROE with initial version 0.1
Package: bayesROE
Title: Bayesian Regions of Evidence
Version: 0.1
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 (2023) <https://osf.io/jxnsv>. Besides generic functions, the package also provides an intuitive 'Shiny' application, that can be run in local R environments.
License: GPL (>= 3)
URL: https://github.com/waidschrat/bayesROE
BugReports: https://github.com/waidschrat/bayesROE/issues
Imports: colourpicker, config (>= 0.3.1), ggplot2, golem (>= 0.3.3), grDevices, scales, shiny (>= 1.7.2), shinyBS, stats
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-09 07:14:52 UTC; MILLER63
Author: Robert Miller [cre, aut]
Maintainer: Robert Miller <robert.miller@tu-dresden.de>
Repository: CRAN
Date/Publication: 2023-03-09 09:50:06 UTC

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New package bark with initial version 1.0.1
Package: bark
Title: Bayesian Additive Regression Kernels
Version: 1.0.1
Date: 2023-03-08
Description: Bayesian Additive Regression Kernels (BARK) provides an implementation for non-parametric function estimation using Levy Random Field priors for functions that may be represented as a sum of additive multivariate kernels. Kernels are located at every data point as in Support Vector Machines, however, coefficients may be heavily shrunk to zero under the Cauchy process prior, or even, set to zero. The number of active features is controlled by priors on precision parameters within the kernels, permitting feature selection. For more details see Ouyang, Z (2008) "Bayesian Additive Regression Kernels", Duke University. PhD dissertation, Chapter 3.
License: GPL (>= 3)
URL: https://www.R-project.org, https://github.com/merliseclyde/bark
BugReports: https://github.com/merliseclyde/bark/issues
Suggests: BART, e1071, rmarkdown, knitr, roxygen2, testthat, covr
Repository: CRAN
NeedsCompilation: yes
ByteCompile: yes
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Packaged: 2023-03-09 03:58:01 UTC; clyde
Author: Merlise Clyde [aut, cre, ths] , Zhi Ouyang [aut], Robert Wolpert [ctb, ths]
Maintainer: Merlise Clyde <clyde@stat.duke.edu>
Date/Publication: 2023-03-09 09:40:09 UTC

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New package waspasR with initial version 0.1.0
Package: waspasR
Title: Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution
Version: 0.1.0
Maintainer: Flavio Barbara <flavio.barbara@gmail.com>
Description: Provides a set of functions to implement decision-making systems based on the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment), Chakraborty and Zavadskas (2014) <doi:10.15388/Informatica.2014.01>. So this package offers functions that analyze and validate the raw data, which must be entered in a determined format; extract specific vectors and matrices from this raw database; normalize the input data; calculate rankings by intermediate methods; apply the lambda parameter for the main method; and a function that does everything at once. The package has an example database called choppers, with which the user can see how the input data should be organized so that everything works as recommended by the decision methods based on multiple criteria that this package solves. Basically, the data are composed of a set of alternatives, which will be ranked, a set of choice criteria, a matrix of values for each Alternative-Criterion relationship, a vector of weights associate [...truncated...]
License: GPL (>= 2)
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-08 14:55:21 UTC; flavio
Author: Flavio Barbara [cre, aut], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2023-03-09 08:50:02 UTC

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New package stringstatic with initial version 0.1.0
Package: stringstatic
Title: Dependency-Free String Operations
Version: 0.1.0
Description: Provides drop-in replacements for functions from the 'stringr' package, with the same user interface. These functions have no external dependencies and can be copied directly into your package code using the 'staticimports' package.
License: CC0
URL: https://github.com/rossellhayes/stringstatic
BugReports: https://github.com/rossellhayes/stringstatic/issues
Suggests: testthat (>= 3.0.0)
Config/Needs/roxygen: wch/staticimports
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-08 19:43:19 UTC; alex
Author: Alexander Rossell Hayes [aut, cre, cph] , Eli Pousson [ctb] and str_split functions), Hadley Wickham [ctb, cph] , RStudio [cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2023-03-09 09:00:03 UTC

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New package opensensmapr with initial version 0.6.0
Package: opensensmapr
Title: Client for the Data API of 'openSenseMap.org'
Version: 0.6.0
URL: https://github.com/sensebox/opensensmapR
BugReports: https://github.com/sensebox/opensensmapR/issues
Depends: R (>= 3.5.0)
Imports: dplyr, httr, digest, lazyeval, readr, purrr, magrittr
Suggests: maps, maptools, tibble, rgeos, sf, knitr, rmarkdown, lubridate, units, jsonlite, ggplot2, zoo, lintr, testthat, covr
Description: Download environmental measurements and sensor station metadata from the API of open data sensor web platform <https://opensensemap.org> for analysis in R. This platform provides real time data of more than 1500 low-cost sensor stations for PM10, PM2.5, temperature, humidity, UV-A intensity and more phenomena. The package aims to be compatible with 'sf' and the 'Tidyverse', and provides several helper functions for data exploration and transformation.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-08 16:32:17 UTC; janst
Author: Norwin Roosen [aut], Daniel Nuest [ctb] , Jan Stenkamp [ctb, cre]
Maintainer: Jan Stenkamp <jan.stenkamp@uni-muenster.de>
Repository: CRAN
Date/Publication: 2023-03-09 09:00:07 UTC

More information about opensensmapr at CRAN
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New package ogrdbstats with initial version 0.5.0
Package: ogrdbstats
Title: Analysis of Adaptive Immune Receptor Repertoire Germ Line Statistics
Version: 0.5.0
URL: https://github.com/airr-community/ogrdbstats
BugReports: https://github.com/airr-community/ogrdbstats/issues
Description: Multiple tools are now available for inferring the personalised germ line set from an adaptive immune receptor repertoire. Output from these tools is converted to a single format and supplemented with rich data such as usage and characterisation of 'novel' germ line alleles. This data can be particularly useful when considering the validity of novel inferences. Use of the analysis provided is described in <doi:10.3389/fimmu.2019.00435>.
License: CC BY-SA 4.0
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: dplyr (>= 0.8.3), ggplot2 (>= 3.2.1), magrittr, tigger (>= 0.4.0), alakazam (>= 0.3.0), stringr (>= 1.4.0), data.table, gridExtra (>= 2.3), tidyr (>= 1.0.0), stringdist (>= 0.9.5.2), RColorBrewer (>= 1.1-2), Biostrings (>= 2.52.0), argparser (>= 0.4), ComplexHeatmap, bookdown, scales,
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-08 14:31:00 UTC; William
Author: William Lees [aut, cre]
Maintainer: William Lees <william@lees.org.uk>
Repository: CRAN
Date/Publication: 2023-03-09 08:50:05 UTC

More information about ogrdbstats at CRAN
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