Fri, 02 Dec 2022

New package POMADE with initial version 0.1.0
Package: POMADE
Title: Power for Meta-Analysis of Dependent Effects
Version: 0.1.0
BugReports: https://github.com/MikkelVembye/POMADE/issues
Description: Provides functions to compute and plot power levels, minimum detectable effect sizes, and minimum required sample sizes for the test of the overall average effect size in meta-analysis of dependent effect sizes.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, dplyr, magrittr, purrr, future, furrr, stats, stringr, utils, tidyr, tibble
Suggests: covr, roxygen2, testthat (>= 3.0.0)
Language: en-US
URL: https://mikkelvembye.github.io/POMADE/
NeedsCompilation: no
Packaged: 2022-12-01 18:16:09 UTC; B199526
Author: Mikkel H. Vembye [aut, cre] , James E. Pustejovsky [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-02 16:20:13 UTC

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New package PhaseType with initial version 0.2.0
Package: PhaseType
Title: Inference for Phase-Type Distributions
Description: Functions to perform Bayesian inference on absorption time data for Phase-type distributions. The methods of Bladt et al (2003) <doi:10.1080/03461230110106435> and Aslett (2012) <https://www.louisaslett.com/PhD_Thesis.pdf> are provided.
URL: https://www.louisaslett.com/PhaseType/, https://github.com/louisaslett/PhaseType
BugReports: https://github.com/louisaslett/PhaseType/issues
Version: 0.2.0
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>
Copyright: The code in src/arms.c is slightly modified based on the research paper implementation written by Wally Gilks. All other code in all other files were written by the maintainer.
Imports: coda, ggplot2, reshape
Suggests: actuar
License: GPL-2 | GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2022-12-01 16:29:39 UTC; louis
Author: Louis Aslett [aut, cre], Wally Gilks [ctb]
Repository: CRAN
Date/Publication: 2022-12-02 16:10:11 UTC

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New package netdiffuseR with initial version 1.22.5
Package: netdiffuseR
Title: Analysis of Diffusion and Contagion Processes on Networks
Version: 1.22.5
Description: Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.
Depends: R (>= 3.1.1)
License: MIT + file LICENSE
LazyData: true
Imports: Rcpp (>= 0.12.1), sna, network, networkDynamic, Matrix, MASS, MatchIt, SparseM, methods, grDevices, graphics, stats, utils, boot, igraph, viridisLite
Suggests: covr, testthat, knitr, rmarkdown, ape, RSiena, survival
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
URL: https://github.com/USCCANA/netdiffuseR, https://USCCANA.github.io/netdiffuseR/
BugReports: https://github.com/USCCANA/netdiffuseR/issues
Classification/MSC: 90C35, 90B18, 91D30
NeedsCompilation: yes
Packaged: 2022-12-01 16:59:21 UTC; george
Author: George Vega Yon [aut, cre] , Thomas Valente [aut, cph] , Stephanie Dyal [ctb] , Timothy Hayes [ctb]
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-02 16:20:02 UTC

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New package EDCimport with initial version 0.2.1
Package: EDCimport
Version: 0.2.1
Title: Import Data from EDC Software
Description: A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster' and 'Macro'.
License: GPL-3
URL: https://github.com/DanChaltiel/EDCimport
BugReports: https://github.com/DanChaltiel/EDCimport/issues
Depends: R (>= 3.1.0)
Imports: cli, dplyr, glue, forcats, haven, labelled, purrr, readr, rlang, stringr, tibble, tidyr
Suggests: callr, covr, crosstable, knitr, testthat (>= 3.0.0), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-12-01 15:45:34 UTC; Dan
Author: Dan Chaltiel [aut, cre]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-02 16:10:14 UTC

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New package ddplot with initial version 0.0.1
Package: ddplot
Title: Create D3 Based SVG Graphics
Version: 0.0.1
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Description: Create 'D3' based 'SVG' ('Scalable Vector Graphics') graphics using a simple 'R' API. The package aims to simplify the creation of many 'SVG' plot types using a straightforward 'R' API. The package relies on the 'r2d3' 'R' package and the 'D3' 'JavaScript' library. See <https://rstudio.github.io/r2d3/> and <https://d3js.org/> respectively.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/feddelegrand7/ddplot
BugReports: https://github.com/feddelegrand7/ddplot/issues
Imports: r2d3
Suggests: knitr, rmarkdown, ggplot2, dplyr, tidyr, zoo, gapminder
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-12-01 15:15:20 UTC; Administrateur
Author: Mohamed El Fodil Ihaddaden [aut, cre], June Choe [ctb, cph], Mike Bostock [ctb, cph] , RStudio [ctb, cph]
Repository: CRAN
Date/Publication: 2022-12-02 16:10:08 UTC

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New package dataset with initial version 0.1.9
Package: dataset
Title: Create Data Frames that are Easier to Exchange and Reuse
Date: 2022-12-01
Version: 0.1.9
Description: The aim of the 'dataset' package is to make tidy datasets easier to release, exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced, well-described, interoperable datasets into release and reuse ready form. A subjective interpretation of the W3C DataSet recommendation and the datacube model <https://www.w3.org/TR/vocab-data-cube/>, which is also used in the global Statistical Data and Metadata eXchange standards, the application of the connected Dublin Core <https://www.dublincore.org/specifications/dublin-core/dcmi-terms/> and DataCite <https://support.datacite.org/docs/datacite-metadata-schema-44/> standards preferred by European open science repositories to improve the findability, accessibility, interoperability and reusability of the datasets.
License: GPL (>= 3)
URL: https://github.com/dataobservatory-eu/dataset
BugReports: https://github.com/dataobservatory-eu/dataset/issues
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: assertthat, ISOcodes, utils
Suggests: covr, declared, dplyr, eurostat, here, kableExtra, knitr, rdflib, readxl, rmarkdown, spelling, statcodelists, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2022-12-01 20:20:58 UTC; antaldaniel
Author: Daniel Antal [aut, cre] , Marcelo Perlin [rev]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>
Repository: CRAN
Date/Publication: 2022-12-02 16:40:02 UTC

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New package appsflyeR with initial version 0.1.0
Package: appsflyeR
Title: Get Data from 'Appsflyer' via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from 'Appsflyer' using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-12-01 18:29:37 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-12-02 16:20:10 UTC

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New package TSSVM with initial version 0.1.0
Package: TSSVM
Title: Time Series Forecasting using SVM Model
Version: 0.1.0
Depends: R (>= 2.3.1), e1071,forecast
Description: Implementation and forecasting univariate time series data using the Support Vector Machine model. Support Vector Machine is one of the prominent machine learning approach for non-linear time series forecasting. For method details see Kim, K. (2003) <doi:10.1016/S0925-2312(03)00372-2>.
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2022-11-29 14:19:23 UTC; pc
Author: Mrinmoy Ray [aut, cre], Samir Barman [aut, ctb], Kanchan Sinha [aut, ctb], K. N. Singh [aut, ctb]
Maintainer: Mrinmoy Ray <mrinmoy4848@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-02 08:10:02 UTC

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New package nieve with initial version 0.1.0
Package: nieve
Title: Miscellaneous Utilities for Extreme Value Analysis
Version: 0.1.0
Maintainer: Yves Deville <deville.yves@alpestat.com>
Description: Provides utility functions and objects for Extreme Value Analysis. These include probability functions with their exact derivatives w.r.t. the parameters that can be used for estimation and inference, even with censored observations. The transformations exchanging the two parameterizations of Peaks Over Threshold (POT) models: Poisson-GP and Point-Process are also provided with their derivatives.
License: GPL (>= 2)
Suggests: testthat, numDeriv, Renext, knitr, covr
Encoding: UTF-8
URL: https://github.com/yvesdeville/nieve/
BugReports: https://github.com/yvesdeville/nieve/issues/
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-30 13:51:57 UTC; yves
Author: Yves Deville [cre, aut]
Repository: CRAN
Date/Publication: 2022-12-02 08:20:02 UTC

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New package jackknifeR with initial version 0.1.1
Package: jackknifeR
Title: Jackknife Linear Regression and Correlation
Version: 0.1.1
Description: This function creates jackknife samples from the data by sequentially removing d observations from the data, performs linear regression or correlation using the jackknife samples and estimates the jackknife coefficients bias standard error, standard error and confidence intervals based on the methodology discussed by Quenouille (1956) <doi:10.2307/2332914>, Tukey (1958) <doi:10.1214/aoms/1177706647> and Shi (1988) <doi:10.1016/0167-7152(88)90011-9>.
License: CC BY 4.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-30 09:26:04 UTC; Mohan
Author: S. Mohanasundaram [aut, cre]
Maintainer: S. Mohanasundaram <s.mohanasundaram@outlook.com>
Repository: CRAN
Date/Publication: 2022-12-02 08:20:09 UTC

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Thu, 01 Dec 2022

New package dcortools with initial version 0.1.4
Package: dcortools
Title: Providing Fast and Flexible Functions for Distance Correlation Analysis
Description: Provides methods for distance covariance and distance correlation (Szekely, et al. (2007) <doi:10.1214/009053607000000505>), generalized version thereof (Sejdinovic, et al. (2013) <doi:10.1214/13-AOS1140>) and corresponding tests (Berschneider, Bottcher (2018) <arXiv:1808.07280>. Distance standard deviation methods (Edelmann, et al. (2020) <doi:10.1214/19-AOS1935>) and distance correlation methods for survival endpoints (Edelmann, et al. (2021) <doi:10.1111/biom.13470>) are also included.
Version: 0.1.4
Depends: Rdpack, R (>= 3.3.3), Rcpp (>= 0.11.0), Rfast
Imports: ggplot2, pheatmap, Hmisc, stats
LinkingTo: RcppArmadillo, Rcpp, RcppEigen
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-12-01 12:59:25 UTC; edelmand
Author: Dominic Edelmann [aut, cre], Jochen Fiedler [aut]
Maintainer: Dominic Edelmann <dominic.edelmann@dkfz-heidelberg.de>
Repository: CRAN
Date/Publication: 2022-12-01 15:30:05 UTC

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New package CDMConnector with initial version 0.3.1
Package: CDMConnector
Title: Connect to an OMOP Common Data Model
Version: 0.3.1
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: dplyr, DBI (>= 0.3.0), checkmate, magrittr, dbplyr, pillar, cli, purrr, rlang, tidyselect, readr, glue, waldo, arrow, methods, withr, lifecycle, jsonlite, tibble, SqlRender, pkgfilecache
Suggests: covr, knitr, rmarkdown, duckdb (>= 0.6.0), RPostgres, odbc, ggplot2, testthat (>= 3.0.0), DatabaseConnector, lubridate
Enhances: CirceR
VignetteBuilder: knitr
Additional_repositories: https://OHDSI.github.io/drat
NeedsCompilation: no
Packaged: 2022-12-01 13:51:32 UTC; adamblack
Author: Adam Black [aut, cre]
Maintainer: Adam Black <black@ohdsi.org>
Repository: CRAN
Date/Publication: 2022-12-01 15:30:09 UTC

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New package ppmlasso with initial version 1.3
Package: ppmlasso
Title: Point Process Models with LASSO-Type Penalties
Version: 1.3
Date: 2022-11-21
Author: Ian Renner
Maintainer: Ian Renner <Ian.Renner@newcastle.edu.au>
Description: Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) <doi:10.1111/j.1541-0420.2012.01824.x>. Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.
License: GPL-3
Depends: R (>= 4.0.0), spatstat (>= 3.0-0)
Imports: methods, data.table, lattice, stats, plyr, spatstat.explore, spatstat.model, spatstat.geom
NeedsCompilation: no
Packaged: 2022-12-01 01:12:57 UTC; iwr478
Repository: CRAN
Date/Publication: 2022-12-01 12:50:02 UTC

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New package VALIDICLUST with initial version 0.1.0
Package: VALIDICLUST
Title: VALID Inference for Clusters Separation Testing
Version: 0.1.0
Author: Benjamin Hivert
Maintainer: Benjamin Hivert <benjamin.hivert@u-bordeaux.fr>
Description: Given a partition resulting from any clustering algorithm, the implemented tests allow valid post-clustering inference by testing if a given variable significantly separates two of the estimated clusters. Methods are detailed in: Hivert B, Agniel D, Thiebaut R & Hejblum BP (2022). "Post-clustering difference testing: valid inference and practical considerations", <arXiv:2210.13172>.
Encoding: UTF-8
Imports: diptest, dplyr
Depends: R (>= 3.6)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2022-11-30 15:06:52 UTC; benjaminhivert
Repository: CRAN
Date/Publication: 2022-12-01 08:20:02 UTC

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New package fitPS with initial version 0.2
Package: fitPS
Title: Fit Zeta Distributions to Forensic Data
Version: 0.2
Date: 2022-11-30
Description: Fits zeta distributions (discrete power laws) to data that arises from forensic surveys of clothing on the presence of glass and paint in various populations. The general method is described to some extent in Coulson, S.A., Buckleton, J.S., Gummer, A.B., and Triggs, C.M. (2001) <doi:10.1016/S1355-0306(01)71847-3>, although the implementation differs.
License: GPL (>= 2)
Encoding: UTF-8
Depends: dplyr, VGAM, methods, readxl
URL: https://github.com/jmcurran/fitPS
BugReports: https://github.com/jmcurran/fitPS/issues
NeedsCompilation: no
Packaged: 2022-11-30 20:04:53 UTC; jcur002
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2022-12-01 08:10:02 UTC

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New package rapidphylo with initial version 0.1.0
Package: rapidphylo
Title: Rapidly Estimate Phylogeny from Large Allele Frequency Data Using Root Distances Method
Version: 0.1.0
Author: Arindam RoyChoudhury [aut, cre, cph], Jing Peng [aut], Ying Li [aut], Laura Kubatko [aut, ths]
Maintainer: Arindam RoyChoudhury <arr2014@med.cornell.edu>
Description: Rapidly estimates tree-topology from large allele frequency data using Root Distances Method, under a Brownian Motion Model. See Jing Peng et al. (2021) <doi:10.1016/j.ympev.2021.107142>.
License: AGPL-3
URL: https://github.com/ArindamRoyChoudhury/rapidphylo
BugReports: https://github.com/ArindamRoyChoudhury/rapidphylo/issues
Depends: R (>= 4.1.0)
Imports: ape, phangorn, stats
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2022-11-30 15:06:13 UTC; yil4013
Repository: CRAN
Date/Publication: 2022-12-01 08:00:02 UTC

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New package HTT with initial version 0.1.0
Package: HTT
Title: Hypothesis Testing Tree
Version: 0.1.0
Date: 2022-11-06
Author: Jiaqi Hu [cre, aut], Zhe Gao [aut], Bo Zhang [aut], Xueqin Wang [aut]
Maintainer: Jiaqi Hu <hujiaqi@mail.ustc.edu.cn>
Description: A novel decision tree algorithm in the hypothesis testing framework. The algorithm examines the distribution difference between two child nodes over all possible binary partitions. The test statistic of the hypothesis testing is equivalent to the generalized energy distance, which enables the algorithm to be more powerful in detecting the complex structure, not only the mean difference. It is applicable for numeric, nominal, ordinal explanatory variables and the response in general metric space of strong negative type. The algorithm has superior performance compared to other tree models in type I error, power, prediction accuracy, and complexity.
License: GPL-3
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, MASS
Imports: Rcpp (>= 1.0.6), ggraph, igraph, ggplot2
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-11-30 11:57:04 UTC; jqhu
Repository: CRAN
Date/Publication: 2022-12-01 08:00:05 UTC

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Wed, 30 Nov 2022

New package rasterList with initial version 0.5.14
Package: rasterList
License: GPL (>= 3)
Title: A Raster Where Cells are Generic Objects
Description: A S4 class has been created such that complex operations can be executed on each cells of a raster map. The raster of objects contains the traditional raster map with the addition of a list of generic objects: one object for each raster cells. It allows to write few lines of R code for complex map algebra. Two environmental applications about frequency analysis of raster map of precipitation and creation of a raster map of soil water retention curves have been presented.
Version: 0.5.14
Date: 2022-11-29
Repository: CRAN
Depends: R(>= 3.0.1),raster,methods
Suggests: lmom,testthat,sp,soilwater,lubridate
NeedsCompilation: no
Packaged: 2022-11-29 14:10:37 UTC; ecor
Date/Publication: 2022-11-30 11:20:05 UTC
Author: Emanuele Cordano [aut, cre]
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>

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New package messy.cats with initial version 1.0
Package: messy.cats
Title: Employs String Distance Tools to Help Clean Categorical Data
Version: 1.0
BugReports: https://github.com/hkarp1/messy.cats/issues
Description: Matching with string distance has never been easier! 'messy.cats' contains various functions that employ string distance tools in order to make data management easier for users working with categorical data. Categorical data, especially user inputted categorical data that often tends to be plagued by typos, can be difficult to work with. 'messy.cats' aims to provide functions that make cleaning categorical data simple and easy.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, stringdist, varhandle, rapportools, stringr, gt
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-29 23:21:24 UTC; andrewhennessy
Author: Andrew Hennessy [aut], Duncan Kreutter [aut], Harrison Karp [cre]
Maintainer: Harrison Karp <hkarp@wesleyan.edu>
Repository: CRAN
Date/Publication: 2022-11-30 11:40:02 UTC

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New package cumprinc with initial version 0.1
Package: cumprinc
Title: Functions Centered Around Microsoft Excel Cumprinc Function
Version: 0.1
Description: Provides similar functionality to 'Microsoft Excel' 'CUMPRINC' function <https://support.microsoft.com/en-us/office/cumprinc-function-94a4516d-bd65-41a1-bc16-053a6af4c04d>. Returns principal remaining at a given month, principal paid in a month, and accumulated principal paid at a given month based on original loan amount, monthly interest rate, and term of loan.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-29 14:42:32 UTC; ituser1
Author: Jason Richardson [aut, cre]
Maintainer: Jason Richardson <jcrichardson617@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-30 11:20:08 UTC

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New package CRMetrics with initial version 0.2.2
Package: CRMetrics
Title: Cell Ranger Output Filtering and Metrics Visualization
Version: 0.2.2
Description: Sample and cell filtering as well as visualisation of output metrics from 'Cell Ranger' by Grace X.Y. Zheng et al. (2017) <doi:10.1038/ncomms14049>. 'CRMetrics' allows for easy plotting of output metrics across multiple samples as well as comparative plots including statistical assessments of these. 'CRMetrics' allows for easy removal of ambient RNA using 'SoupX' by Matthew D Young and Sam Behjati (2020) <doi:10.1093/gigascience/giaa151> or 'CellBender' by Stephen J Fleming et al. (2022) <doi:10.1101/791699>. Furthermore, it is possible to preprocess data using 'Pagoda2' by Nikolas Barkas et al. (2021) <https://github.com/kharchenkolab/pagoda2> or 'Seurat' by Yuhan Hao et al. (2021) <doi:10.1016/j.cell.2021.04.048> followed by embedding of cells using 'Conos' by Nikolas Barkas et al. (2019) <doi:10.1038/s41592-019-0466-z>. Finally, doublets can be detected using 'scrublet' by Samuel L. Wolock et al. (2019) <doi:10.1016/j.cels.2018.11.005> or 'D [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: cowplot, dplyr, ggbeeswarm, ggplot2, ggpmisc, ggpubr, ggrepel, magrittr, Matrix, methods, R6, scales, sccore, sparseMatrixStats, stats, tibble, tidyr, utils
Suggests: conos, data.table, markdown, pagoda2, reticulate, rhdf5, Seurat, SoupX, testthat (>= 3.0.0)
URL: https://github.com/khodosevichlab/CRMetrics
BugReports: https://github.com/khodosevichlab/CRMetrics/issues
Maintainer: Rasmus Rydbirk <rasmus.rydbirk@bric.ku.dk>
NeedsCompilation: no
Packaged: 2022-11-30 08:25:24 UTC; tfx583
Author: Rasmus Rydbirk [aut, cre], Fabienne Kick [aut], Henrietta Holze [aut], Xian Xin [ctb]
Repository: CRAN
Date/Publication: 2022-11-30 11:40:06 UTC

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New package awinR with initial version 0.1.0
Package: awinR
Title: Get Data from 'Awin' via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from 'Awin' using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-29 19:07:57 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-30 11:30:02 UTC

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New package bnstruct with initial version 1.0.13
Package: bnstruct
Description: Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Parents-and-Children, the Hill-Climbing, the Max-Min Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.
Title: Bayesian Network Structure Learning from Data with Missing Values
Version: 1.0.13
Date: 2022-10-20
Depends: R (>= 3.5.0), bitops, igraph, methods
Suggests: graph, Rgraphviz, qgraph, knitr, testthat
License: GPL (>= 2) | file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-10-20 14:07:24 UTC; alberto
Author: Francesco Sambo [aut], Alberto Franzin [aut, cre]
Maintainer: Alberto Franzin <afranzin@ulb.ac.be>
Repository: CRAN
Date/Publication: 2022-10-20 17:15:30 UTC

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Tue, 29 Nov 2022

New package guiplot with initial version 0.3.0
Package: guiplot
Title: User-Friendly GUI Plotting Tools
Version: 0.3.0
Author: Fu Yongchao [aut, cre, cph]
Maintainer: Fu Yongchao <3212418315@qq.com>
Description: Create a user-friendly plotting GUI for 'R'. In addition, one purpose of creating the 'R' package is to facilitate third-party software to call 'R' for drawing, for example, 'Phoenix WinNonlin' software calls 'R' to draw the drug concentration versus time curve.
URL: https://s0521.github.io/guiplot/about/
Imports: shiny(>= 1.0.0), ggplot2 (>= 3.3.0), svglite, DT, rlang (>= 0.3.1),stats, magrittr,R6,excelR
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-29 12:52:05 UTC; admin
Repository: CRAN
Date/Publication: 2022-11-29 14:00:02 UTC

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New package STREAK with initial version 0.1.0
Package: STREAK
Title: Receptor Abundance Estimation using Feature Selection and Gene Set Scoring
Version: 0.1.0
Maintainer: Azka Javaid <azka.javaid.gr@dartmouth.edu>
Description: Performs receptor abundance estimation for single cell RNA-sequencing data using a supervised feature selection mechanism and a thresholded gene set scoring procedure. Seurat's normalization method is described in: Hao et al., (2021) <doi:10.1016/j.cell.2021.04.048>, Stuart et al., (2019) <doi:10.1016/j.cell.2019.05.031>, Butler et al., (2018) <doi:10.1038/nbt.4096> and Satija et al., (2015) <doi:10.1038/nbt.3192>. Method for reduced rank reconstruction and rank-k selection is detailed in: Javaid et al., (2022) <doi:10.1101/2022.10.08.511197>. Gene set scoring procedure is described in: Frost et al., (2020) <doi:10.1093/nar/gkaa582>. Clustering method is outlined in: Song et al., (2020) <doi:10.1093/bioinformatics/btaa613> and Wang et al., (2011) <doi:10.32614/RJ-2011-015>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: Ckmeans.1d.dp, Matrix, Seurat, SPECK, stats, VAM
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-28 12:29:19 UTC; azkajavaid
Author: H. Robert Frost [aut], Azka Javaid [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-29 10:30:05 UTC

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New package goalp with initial version 0.3.1
Package: goalp
Title: Weighted and Lexicographic Goal Programming Interface
Version: 0.3.1
Description: Solves goal programming problems of the weighted and lexicographic type, as well as combinations of the two, as described by Ignizio (1983) <doi:10.1016/0305-0548(83)90003-5>. Allows for a simple human-readable input describing the problem as a series of equations. Relies on the 'lpSolve' package to solve the underlying linear optimisation problem.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: lpSolve
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-28 16:19:15 UTC; tradpa
Author: David Palma [aut, cre], Richard Hodgett [ctb]
Maintainer: David Palma <D.Palma@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2022-11-29 10:30:02 UTC

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New package bayesMRM with initial version 2.3.0
Package: bayesMRM
Title: Bayesian Multivariate Receptor Modeling
Version: 2.3.0
Maintainer: Man-Suk Oh <msoh@ewha.ac.kr>
Description: Bayesian analysis of multivariate receptor modeling. The package consists of implementations of the methods of Park and Oh (2015) <doi:10.1016/j.chemolab.2015.08.021>.The package uses 'JAGS'(Just Another Gibbs Sampler) to generate Markov chain Monte Carlo samples of parameters.
Date: 2022-11-29
Depends: R (>= 4.0.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: rjags,coda,ggplot2,grDevices,graphics,gridExtra,rgl,shiny,shinythemes
Suggests: stats
NeedsCompilation: no
Packaged: 2022-11-29 02:05:33 UTC; EKLee
Author: Man-Suk Oh [aut, cre], Eun-Kyung Lee [aut], Eun Sug Park [ctb]
Repository: CRAN
Date/Publication: 2022-11-29 10:50:02 UTC

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Mon, 28 Nov 2022

New package nlgm with initial version 1.0
Package: nlgm
Title: Non Linear Growth Models
Version: 1.0
Date: 2022-11-25
Author: Michail Tsagris [aut, cre], Nikolaos Pandis [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: ggplot2, Rfast, Rfast2, stats
Description: Six growth models are fitted using non-linear least squares. These are the Richards, the 3, 4 and 5 parameter logistic, the Gompetz and the Weibull growth models. Reference: Reddy T., Shkedy Z., van Rensburg C. J., Mwambi H., Debba P., Zuma K. and Manda, S. (2021). "Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach". BMC medical research methodology, 21(1), 1-11. <doi:10.1186/s12874-020-01165-x>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-11-25 14:36:41 UTC; Michail
Repository: CRAN
Date/Publication: 2022-11-28 14:40:02 UTC

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New package ggsector with initial version 1.6.1
Package: ggsector
Title: Draw Sectors
Version: 1.6.1
Description: Some useful functions that can use 'grid' and 'ggplot2' to plot sectors and interact with 'Seurat' to plot gene expression percentages. Also, there are some examples of how to draw sectors in 'ComplexHeatmap'.
License: Artistic-2.0
Encoding: UTF-8
Suggests: ComplexHeatmap, knitr, rmarkdown, reshape2, utils
Depends: ggplot2, grid
Imports: dplyr, magrittr, Matrix, prettydoc, rlang, Seurat, stats, tibble, tidyr
VignetteBuilder: knitr
BugReports: https://github.com/yanpd01/ggsector
NeedsCompilation: no
Packaged: 2022-11-28 13:56:36 UTC; yan
Author: Pengdong Yan [aut, cre, cph]
Maintainer: Pengdong Yan <yanpd01@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-28 15:00:02 UTC

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New package funkyheatmap with initial version 0.1.0
Package: funkyheatmap
Title: Generating Funky Heatmaps for Data Frames
Description: Allows generating heatmap-like visualisations for benchmark data frames. Funky heatmaps can be fine-tuned by providing annotations of the columns and rows, which allows assigning multiple palettes or geometries or grouping rows and columns together in categories. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.
Version: 0.1.0
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, cli, cowplot, dplyr, dynutils, ggforce, ggplot2, grDevices, purrr, RColorBrewer, stringr, tibble, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
URL: https://funkyheatmap.dynverse.org, https://github.com/dynverse/funkyheatmap
BugReports: https://github.com/dynverse/funkyheatmap/issues
NeedsCompilation: no
Packaged: 2022-11-25 15:31:25 UTC; rcannood
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-28 14:50:02 UTC

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New package brif with initial version 1.1
Package: brif
Title: A Tree and Forest Tool for Classification and Regression
Version: 1.1
Date: 2022-11-25
Maintainer: Yanchao Liu <yanchaoliu@wayne.edu>
Description: Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP' <https://gcc.gnu.org/wiki/openmp>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-11-28 13:50:35 UTC; gn0061
Author: Yanchao Liu [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-28 15:00:06 UTC

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New package ETAS with initial version 0.5.1
Package: ETAS
Title: Modeling Earthquake Data Using 'ETAS' Model
Description: Fits the space-time Epidemic Type Aftershock Sequence ('ETAS') model to earthquake catalogs using a stochastic 'declustering' approach. The 'ETAS' model is a 'spatio-temporal' marked point process model and a special case of the 'Hawkes' process. The package is based on a Fortran program by 'Jiancang Zhuang' (available at <http://bemlar.ism.ac.jp/zhuang/software.html>), which is modified and translated into C++ and C such that it can be called from R. Parallel computing with 'OpenMP' is possible on supported platforms.
Version: 0.5.1
Date: 2022-11-27
Author: Abdollah Jalilian [aut, cre] , Jiancang Zhuang [ctb]
Maintainer: Abdollah Jalilian <stat4aj@gmail.com>
Depends: R (>= 3.3.0), stats, graphics, utils, maps
Imports: lattice, goftest, spatstat.geom, spatstat.explore, spatstat.random, Rcpp, fields
LinkingTo: Rcpp (>= 1.0.0)
License: GPL (>= 2)
LazyData: true
LazyLoad: true
NeedsCompilation: yes
URL: https://github.com/jalilian/ETAS
BugReports: https://github.com/jalilian/ETAS/issues
Packaged: 2022-11-26 21:44:31 UTC; aj
Repository: CRAN
Date/Publication: 2022-11-28 13:00:07 UTC

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New package scellpam with initial version 1.4
Package: scellpam
Title: Applying Partitioning Around Medoids to Single Cell Data with High Number of Cells
Version: 1.4
Date: 2022-10-30
Author: Juan Domingo [aut, cre] , Guillermo Ayala [ctb] , Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]
Maintainer: Juan Domingo <Juan.Domingo@uv.es>
Description: PAM (Partitioning Around Medoids) algorithm application to samples of single cell sequencing techniques with a high number of cells (as many as the computer memory allows). The package uses a binary format to store matrices (either full, sparse or symmetric) in files written in the disk that can contain any data type (not just double) which allows its manipulation when memory is sufficient to load them as int or float, but not as double. The PAM implementation is done in parallel, using several/all the cores of the machine, if it has them. This package shares a great part of its code with packages 'jmatrix' and 'parallelpam' but their functionality is included here so there is no need to install them.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.8), memuse (>= 4.2.1), cluster (>= 2.1.4)
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: rmarkdown, knitr, DuoClustering2018, scater, splatter
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-26 18:54:29 UTC; jdomingo
Repository: CRAN
Date/Publication: 2022-11-28 10:10:02 UTC

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New package wav with initial version 0.1.0
Package: wav
Title: Read and Write WAV Files
Version: 0.1.0
Description: Efficiently read and write Waveform (WAV) audio files <https://en.wikipedia.org/wiki/WAV>. Support for unsigned 8 bit Pulse-code modulation (PCM), signed 12, 16, 24 and 32 bit PCM and other encodings.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
Suggests: covr, testthat (>= 3.0.0), patrick
SystemRequirements: C++11
URL: https://github.com/mlverse/wav, https://mlverse.github.io/wav/
BugReports: https://github.com/mlverse/wav/issues
NeedsCompilation: yes
Packaged: 2022-11-25 16:39:39 UTC; dfalbel
Author: Daniel Falbel [aut, cre, cph], Posit, PBC [cph], David Reid [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Repository: CRAN
Date/Publication: 2022-11-28 09:40:02 UTC

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New package qualitycontrol with initial version 0.1.0
Package: qualitycontrol
Title: Unified Framework for Data Quality Control
Version: 0.1.0
Maintainer: Luis Garcez <luisgarcez1@gmail.com>
Description: An easy framework to set a quality control workflow on a dataset. Includes a various range of functions that allow to establish an adaptable data quality control.
Imports: dplyr, stringr, janitor, openxlsx, readxl
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/luisgarcez11/qualitycontrol
BugReports: https://github.com/luisgarcez11/qualitycontrol/issues
Suggests: knitr, rmarkdown, testthat
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-25 13:16:49 UTC; jjferreira-admin
Author: Luis Garcez [aut, cre, cph]
Repository: CRAN
Date/Publication: 2022-11-28 09:30:02 UTC

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New package postdoc with initial version 1.0.0
Package: postdoc
Title: Minimal and Uncluttered Package Documentation
Version: 1.0.0
Description: Generates simple and beautiful one-page HTML reference manuals with package documentation. Math rendering and syntax highlighting are done server-side in 'R' such that no 'JavaScript' libraries are needed in the browser, which makes the documentation portable and fast to load.
License: MIT + file LICENSE
URL: https://github.com/ropensci/postdoc, https://docs.ropensci.org/postdoc/
BugReports: https://github.com/ropensci/postdoc/issues
Encoding: UTF-8
Imports: jsonlite, katex, prismjs, xml2
Language: en-US
NeedsCompilation: no
Packaged: 2022-11-25 13:36:28 UTC; jeroen
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Repository: CRAN
Date/Publication: 2022-11-28 09:30:05 UTC

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New package ggpcp with initial version 0.2.0
Package: ggpcp
Title: Parallel Coordinate Plots in the 'ggplot2' Framework
Version: 0.2.0
Date: 2022-11-22
Maintainer: Heike Hofmann <hofmann@iastate.edu>
Description: Modern Parallel Coordinate Plots have been introduced in the 1980s as a way to visualize arbitrarily many numeric variables. This Grammar of Graphics implementation also incorporates categorical variables into the plots in a principled manner. By separating the data managing part from the visual rendering, we give full access to the users while keeping the number of parameters manageably low.
License: GPL-3
Imports: assertthat (>= 0.2.1), dplyr (>= 1.0.7), ggplot2 (>= 3.3.5), rlang (>= 0.4.11), tibble (>= 3.1.4), tidyselect (>= 1.1.1), tidyr (>= 1.1.3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, purrr, testthat, GGally
URL: https://github.com/heike/ggpcp
BugReports: https://github.com/heike/ggpcp/issues
NeedsCompilation: no
Packaged: 2022-11-25 16:11:33 UTC; hofmann
Author: Heike Hofmann [aut, cre] , Susan VanderPlas [aut] , Yawei Ge [aut]
Repository: CRAN
Date/Publication: 2022-11-28 09:30:08 UTC

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New package figir with initial version 0.1.6.8
Package: figir
Title: Check Validity of FIGI, CUSIP, ISIN, SEDOL
Version: 0.1.6.8
Author: Panagiotis Cheilaris [aut, cre]
Maintainer: Panagiotis Cheilaris <philaris@gmail.com>
Description: With the functions in this package you can check the validity of the following financial instrument identifiers: FIGI (Financial Instrument Global Identifier <https://www.openfigi.com/about/figi>), CUSIP (Committee on Uniform Security Identification Procedures <https://www.cusip.com/identifiers.html#/CUSIP>), ISIN (International Securities Identification Number <https://www.cusip.com/identifiers.html#/ISIN>), SEDOL (Stock Exchange Daily Official List <https://www2.lseg.com/SEDOL-masterfile-service-tech-guide-v8.6>). You can also calculate the FIGI checksum of 11-character strings, which can be useful if you want to create your own FIGI identifiers.
URL: https://github.com/philaris/figir
BugReports: https://github.com/philaris/figir/issues
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2022-11-25 14:57:27 UTC; philaris
Repository: CRAN
Date/Publication: 2022-11-28 09:30:11 UTC

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New package dlm with initial version 1.1-6
Package: dlm
Title: Bayesian and Likelihood Analysis of Dynamic Linear Models
Version: 1.1-6
Date: 2022-11-12
Suggests: MASS
Imports: stats, utils, methods, grDevices, graphics
Maintainer: Giovanni Petris <GPetris@uark.edu>
Description: Provides routines for Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear Models.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-11-25 20:09:08 UTC; gpetris
Author: Giovanni Petris [aut, cre], Wally Gilks [ctb]
Repository: CRAN
Date/Publication: 2022-11-28 09:50:04 UTC

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New package boxfilter with initial version 0.1
Package: boxfilter
Title: Filter Noisy Data
Version: 0.1
Date: 2022-11-03
Maintainer: Thomas Ruf <Thomas.P.Ruf@me.com>
Description: Noise filter based on determining the proportion of neighboring points. A false point will be rejected if it has only few neighbors, but accepted if the proportion of neighbors in a rectangular frame is high. The size of the rectangular frame as well as the cut-off value, i.e. of a minimum proportion of neighbor-points, may be supplied or can be calculated automatically. Originally designed for the cleaning of heart rates, but suitable for filtering any slowly-changing physiological variable.For more information see Signer (2010)<doi: 10.1111/j.2041-210X.2009.00010.x>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, gridExtra
Depends: R (>= 3.50)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-26 09:37:51 UTC; ruf
Author: Thomas Ruf [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-28 10:00:05 UTC

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New package adformR with initial version 0.1.0
Package: adformR
Title: Get Adform Ads Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Adform Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-26 09:40:30 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-28 09:50:08 UTC

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Fri, 25 Nov 2022

New package webSDM with initial version 1.1-1
Package: webSDM
Title: Including Known Interactions in Species Distribution Models
Version: 1.1-1
Description: A collection of tools to fit and work with trophic Species Distribution Models. Trophic Species Distribution Models combine knowledge of trophic interactions with Bayesian structural equation models that model each species as a function of its prey (or predators) and environmental conditions. It exploits the topological ordering of the known trophic interaction network to predict species distribution in space and/or time, where the prey (or predator) distribution is unavailable. The method implemented by the package is described in Poggiato, Andréoletti, Pollock and Thuiller (2022) <doi:10.22541/au.166853394.45823739/v1>.
License: GPL-3
Encoding: UTF-8
Imports: GGally, Matrix, abind, bayesplot, brms, broom.mixed, dismo, dplyr, ggplot2, glmnet, gridExtra, igraph, jtools, rstanarm, rstantools, utils
URL: https://github.com/giopogg/webSDM, https://giopogg.github.io/webSDM/
BugReports: https://github.com/giopogg/webSDM/issues
Suggests: knitr, rmarkdown, reshape2, devtools, loo, randomForest, network, sna, scales, intergraph
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-24 13:29:13 UTC; poggiatg
Author: Giovanni Poggiato [aut, cre, cph] , Jeremy Andreoletti [aut]
Maintainer: Giovanni Poggiato <giov.poggiato@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-11-25 12:40:02 UTC

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New package VSOLassoBag with initial version 0.99.0
Package: VSOLassoBag
Title: Variable Selection Oriented LASSO Bagging Algorithm
Version: 0.99.0
Date: 2022-11-10
Description: A wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: glmnet, survival, ggplot2, POT, parallel, utils, pbapply, methods, SummarizedExperiment
Suggests: rmarkdown, knitr, rmdformats, qpdf
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-25 06:33:23 UTC; zhou
Author: Jiaqi Liang [aut], Chaoye Wang [aut, cre]
Maintainer: Chaoye Wang <wangcy1@sysucc.org.cn>
Repository: CRAN
Date/Publication: 2022-11-25 12:50:02 UTC

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New package json2aRgs with initial version 0.3.0
Package: json2aRgs
Title: Parse Parameters Inside a Docker Container
Version: 0.3.0
Description: The function get_parameters() is intended to be used within a docker container to read keyword arguments from a .json file automagically. A tool.yaml file contains specifications on these keyword arguments, which are then passed as input to containerized R tools in the [tool-runner framework](<https://github.com/hydrocode-de/tool-runner>). A template for a containerized R tool, which can be used as a basis for developing new tools, is available at the following URL: <https://github.com/VForWaTer/tool_template_r>.
License: GPL-3
URL: https://github.com/VForWaTer/json2aRgs
BugReports: https://github.com/VForWaTer/json2aRgs/issues
Depends: R (>= 3.6.0)
Imports: jsonlite, yaml, tools
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-24 12:16:32 UTC; alexander
Author: Alexander Dolich [cre, aut], Mirko Maelicke [aut]
Maintainer: Alexander Dolich <alexander.dolich@kit.edu>
Repository: CRAN
Date/Publication: 2022-11-25 12:30:02 UTC

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New package jackstraw with initial version 1.3.8
Package: jackstraw
Title: Statistical Inference for Unsupervised Learning
Version: 1.3.8
Author: Neo Christopher Chung <nchchung@gmail.com>, John D. Storey <jstorey@princeton.edu>, Wei Hao <whao@princeton.edu>, Alejandro Ochoa <alejandro.ochoa@duke.edu>
Maintainer: Neo Christopher Chung <nchchung@gmail.com>
Description: Test for association between the observed data and their estimated latent variables. The jackstraw package provides a resampling strategy and testing scheme to estimate statistical significance of association between the observed data and their latent variables. Depending on the data type and the analysis aim, the latent variables may be estimated by principal component analysis (PCA), factor analysis (FA), K-means clustering, and related algorithms. The jackstraw methods learn over-fitting characteristics inherent in this circular analysis, where the observed data are used to estimate the latent variables and used again to test against that estimated latent variables. When latent variables are estimated by PCA, the jackstraw enables statistical testing for association between observed variables and latent variables, as estimated by low-dimensional principal components (PCs). This essentially leads to identifying variables that are significantly associated with PCs. Similarly, unsuperv [...truncated...]
LazyData: true
Depends: R (>= 3.0.0)
Imports: methods, stats, qvalue, corpcor, irlba, rsvd, ClusterR, cluster
Suggests: testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-25 09:36:01 UTC; ncc
Repository: CRAN
Date/Publication: 2022-11-25 12:10:02 UTC

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New package invertiforms with initial version 0.1.1
Package: invertiforms
Title: Invertible Transforms for Matrices
Version: 0.1.1
Description: Provides composable invertible transforms for (sparse) matrices.
License: MIT + file LICENSE
URL: https://rohelab.github.io/invertiforms/, https://github.com/RoheLab/invertiforms
BugReports: https://github.com/RoheLab/invertiforms/issues
Depends: Matrix, methods
Imports: sparseLRMatrix (>= 0.1.0), glue
Suggests: covr, testthat (>= 3.0.0), igraph, igraphdata
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-12 22:09:18 UTC; alex
Author: Alex Hayes [aut, cre, cph]
Maintainer: Alex Hayes <alexpghayes@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-25 12:40:10 UTC

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New package GenWin with initial version 1.0
Package: GenWin
Title: Spline Based Window Boundaries for Genomic Analyses
Version: 1.0
Date: 2022-11-25
Author: Timothy M. Beissinger <timbeissinger@gmail.com>
Maintainer: Timothy M. Beissinger <timbeissinger@gmail.com>
Description: Defines window or bin boundaries for the analysis of genomic data. Boundaries are based on the inflection points of a cubic smoothing spline fitted to the raw data. Along with defining boundaries, a technique to evaluate results obtained from unequally-sized windows is provided. Applications are particularly pertinent for, though not limited to, genome scans for selection based on variability between populations (e.g. using Wright's fixations index, Fst, which measures variability in subpopulations relative to the total population).
Depends: R (>= 3.1.1)
Imports: pspline, stats, graphics
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-25 08:04:04 UTC; beissinger
Repository: CRAN
Date/Publication: 2022-11-25 12:20:02 UTC

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New package GAGAs with initial version 0.4.1
Package: GAGAs
Title: Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models
Version: 0.4.1
Language: en-US
Description: Fits linear regression, logistic and multinomial regression models, Poisson regression, Cox model via Global Adaptive Generative Adjustment Algorithm. For more information, see Bin Wang, Xiaofei Wang and Jianhua Guo (2022) <arXiv:1911.00658>.
License: GPL-2
URL: https://arxiv.org/abs/1911.00658
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: Rcpp (>= 1.0.9), survival
Suggests: mvtnorm
SystemRequirements: C++14
LinkingTo: Rcpp, RcppEigen
Maintainer: Bin Wang <eatingbeen@hotmail.com>
NeedsCompilation: yes
Packaged: 2022-11-25 00:11:37 UTC; Administrator
Author: Bin Wang [aut, cre], Xiaofei Wang [ctb], Jianhua Guo [ths]
Repository: CRAN
Date/Publication: 2022-11-25 12:50:05 UTC

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Thu, 24 Nov 2022

New package scAnnotate with initial version 0.1.1
Package: scAnnotate
Title: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data
Version: 0.1.1
Description: An entirely data-driven cell type annotation tools, which requires training data to learn the classifier, but not biological knowledge to make subjective decisions. It consists of three steps: preprocessing training and test data, model fitting on training data, and cell classification on test data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui Zhang.(2022)<doi:10.1101/2022.02.19.481159> for more details.
Depends: R(>= 4.0.0)
License: GPL-3
URL: https://doi.org/10.1101/2022.02.19.481159
Encoding: UTF-8
LazyData: true
Suggests: knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
Imports: glmnet, stats, MTPS, Seurat (>= 4.0.5), harmony
NeedsCompilation: no
Packaged: 2022-11-21 22:35:22 UTC; 54041
Author: Xiangling Ji [aut], Danielle Tsao [aut], Kailun Bai [ctb], Min Tsao [aut], Li Xing [aut], Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <xuekui@uvic.ca>
Repository: CRAN
Date/Publication: 2022-11-24 17:50:02 UTC

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New package Require with initial version 0.2.5
Package: Require
Title: Installing and Loading R Packages for Reproducible Workflows
Description: A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and `require` for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.
URL: https://Require.predictiveecology.org, https://github.com/PredictiveEcology/Require
Date: 2022-11-21
Version: 0.2.5
Depends: R (>= 4.0)
Imports: data.table (>= 1.10.4), methods, tools, utils
Suggests: covr, remotes, parallel, testit
Encoding: UTF-8
Language: en-CA
License: GPL-3
BugReports: https://github.com/PredictiveEcology/Require/issues
ByteCompile: yes
NeedsCompilation: no
Packaged: 2022-11-22 04:41:52 UTC; emcintir
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [ctb] , Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Repository: CRAN
Date/Publication: 2022-11-24 15:00:02 UTC

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New package siie with initial version 0.2.0
Package: siie
Title: Superior Identification Index and Its Extensions
Version: 0.2.0
Depends: R (>= 4.0.0)
Description: Calculate superior identification index and its extensions. Measure the performance of journals based on how well they could identify the top papers by any index (e.g. citation indices) according to Huang & Yang. (2022) <doi:10.1007/s11192-022-04372-z>. These methods could be extended to evaluate other entities such as institutes, countries, etc.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyfst
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-24 09:43:52 UTC; Hope
Author: Tian-Yuan Huang [aut, cre]
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>
Repository: CRAN
Date/Publication: 2022-11-24 12:10:02 UTC

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New package parallelpam with initial version 1.0
Package: parallelpam
Title: Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data
Version: 1.0
Date: 2022-10-30
Author: Juan Domingo [aut, cre] , Guillermo Ayala [ctb] , Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]
Maintainer: Juan Domingo <Juan.Domingo@uv.es>
Description: Application of the Partitioning-Around-Medoids (PAM) clustering algorithm described in Schubert, E. and Rousseeuw, P.J.: "Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms." Information Systems, vol. 101, p. 101804, (2021). <doi:10.1016/j.is.2021.101804>. It uses a binary format for storing and retrieval of matrices developed for the 'jmatrix' package but the functionality of 'jmatrix' is included here, so you do not need to install it. Also, it is used by package 'scellpam', so if you have installed it, you do not need to install this package. PAM can be applied to sets of data whose dissimilarity matrix can be very big. It has been tested with up to 100.000 points. It does this with the help of the code developed for other package, 'jmatrix', which allows the matrix not to be loaded in 'R' memory (which would force it to be of double type) but it gets from disk, which allows using float (or even smaller data types). Moreover [...truncated...]
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.8), memuse (>= 4.2.1)
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, cluster
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-22 16:24:16 UTC; jdomingo
Repository: CRAN
Date/Publication: 2022-11-24 12:10:04 UTC

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New package tidyclust with initial version 0.1.0
Package: tidyclust
Title: A Common API to Clustering
Version: 0.1.0
Description: A common interface to specifying clustering models, in the same style as 'parsnip'. Creates unified interface across different functions and computational engines.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/tidyclust
BugReports: https://github.com/tidymodels/tidyclust/issues
Imports: cli (>= 3.0.0), dials (>= 1.1.0), dplyr (>= 1.0.9), flexclust (>= 1.3-6), foreach, generics (>= 0.1.2), glue (>= 1.6.2), hardhat (>= 1.0.0), modelenv (>= 0.1.0), parsnip (>= 1.0.2), prettyunits (>= 1.1.0), Rfast (>= 2.0.6), rlang (>= 1.0.6), rsample (>= 1.0.0), stats, tibble (>= 3.1.0), tidyr (>= 1.2.0), tune (>= 1.0.0), utils, vctrs (>= 0.5.0)
Suggests: cluster, ClusterR, covr, knitr, modeldata (>= 1.0.0), RcppHungarian, recipes (>= 1.0.0), rmarkdown, testthat (>= 3.0.0), workflows (>= 1.1.2)
Config/Needs/website: pkgdown, tidymodels, tidyverse, palmerpenguins, patchwork, ggforce
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-24 02:04:22 UTC; emilhvitfeldt
Author: Emil Hvitfeldt [aut, cre] , Kelly Bodwin [aut], Posit Software, PBC. [cph, fnd]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-24 11:50:02 UTC

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New package butterflyOptions with initial version 1.0.1
Package: butterflyOptions
Title: Trading Butterfly Options Strategies
Version: 1.0.1
Author: MaheshP Kumar [aut, cre]
Maintainer: MaheshP Kumar <maheshparamjitkumar@gmail.com>
Imports: ggplot2, dplyr, magrittr, tibble
Description: Trading of Butterfly Options Strategies is represented here through their Graphs. The graphic indicators, strategies, calculations, functions and all the discussions are for academic, research, and educational purposes only and should not be construed as investment advice and come with absolutely no Liability. Guy Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015, ISBN: 9780133964028). Zura Kakushadze, Juan A. Serur (“151 Trading Strategies”, 2018, ISBN: 9783030027919). John C. Hull (“Options, Futures, and Other Derivatives (11th ed.)”, 2022, ISBN: 9780136939979).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-23 19:22:29 UTC; mahes
Repository: CRAN
Date/Publication: 2022-11-24 11:50:06 UTC

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New package StatTeacherAssistant with initial version 0.0.1
Package: StatTeacherAssistant
Title: An App that Assists Intro Statistics Instructors with Data Sets
Version: 0.0.1
Maintainer: Christopher Casement <casementc@gmail.com>
Description: Includes an interactive application designed to support educators in wide-ranging disciplines, with a particular focus on those teaching introductory statistical methods (descriptive and/or inferential) for data analysis. Users are able to randomly generate data, make new versions of existing data through common adjustments (e.g., add random normal noise and perform transformations), and check the suitability of the resulting data for statistical analyses.
License: MIT + file LICENSE
URL: https://github.com/ccasement/StatTeacherAssistant, https://CRAN.R-project.org/package=StatTeacherAssistant
BugReports: https://github.com/ccasement/StatTeacherAssistant/issues
Depends: R (>= 3.5.0)
Imports: DescTools (>= 0.99.47), dplyr (>= 1.0.7), DT (>= 0.19), ggplot2 (>= 3.3.5), plotly (>= 4.10.0), rhandsontable (>= 0.3.8), rio (>= 0.5.27), rmatio (>= 0.16.0), shiny (>= 1.7.1), shinyalert (>= 2.0.0), shinyBS (>= 0.61), shinyjs (>= 2.1.0), sortable (>= 0.4.6), stringi (>= 1.7.4), stringr (>= 1.4.0), teachingApps (>= 1.0.8), tidyr (>= 1.2.1)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-11-23 14:25:32 UTC; ccasement
Author: Christopher Casement [cre, aut], Laura McSweeney [aut]
Repository: CRAN
Date/Publication: 2022-11-24 09:10:02 UTC

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New package pmparser with initial version 1.0.13
Package: pmparser
Title: Create and Maintain a Relational Database of Data from PubMed/MEDLINE
Version: 1.0.13
Description: Provides a simple interface for extracting various elements from the publicly available PubMed XML files, incorporating PubMed's regular updates, and combining the data with the NIH Open Citation Collection. See Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.
URL: https://pmparser.hugheylab.org, https://github.com/hugheylab/pmparser
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: curl (>= 4.3.2), data.table (>= 1.12.2), DBI (>= 1.1.0), foreach (>= 1.5.0), glue (>= 1.4.2), iterators (>= 1.0.12), jsonlite (>= 1.7.0), R.utils (>= 2.10.1), RCurl (>= 1.98), withr (>= 2.3.0), xml2 (>= 1.3.3)
Suggests: bigrquery (>= 1.3.2), doParallel (>= 1.0.16), RMariaDB (>= 1.0.9), RPostgres (>= 1.2.0), RSQLite (>= 2.2.0), testthat (>= 2.3.2), knitr, rmarkdown
SystemRequirements: head, unzip, sqlite
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-24 03:30:47 UTC; jakehughey
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut], Elliot Outland [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-24 09:40:05 UTC

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New package mudfold with initial version 1.1.21
Package: mudfold
Title: Multiple UniDimensional unFOLDing
Version: 1.1.21
Date: 2022-11-23
Description: Nonparametric unfolding item response theory (IRT) model for dichotomous data (see W.H. Van Schuur (1984). Structure in Political Beliefs: A New Model for Stochastic Unfolding with Application to European Party Activists, and W.J.Post (1992). Nonparametric Unfolding Models: A Latent Structure Approach). The package implements MUDFOLD (Multiple UniDimensional unFOLDing), an iterative item selection algorithm that constructs unfolding scales from dichotomous preferential-choice data without explicitly assuming a parametric form of the item response functions. Scale diagnostics from Post(1992) and estimates for the person locations proposed by Johnson(2006) and Van Schuur(1984) are also available. This model can be seen as the unfolding variant of Mokken(1971) scaling method.
Depends: R (>= 3.3.3)
Imports: boot, glmnet, mgcv, ggplot2, zoo, reshape2, stats, utils, grDevices, broom, dplyr, graphics
License: GPL (>= 2)
URL: https://github.com/cran/mudfold
Maintainer: Spyros Balafas <sp.balafas@gmail.com>
Repository: CRAN
NeedsCompilation: no
Author: Spyros Balafas [aut, cre], Wim Krijnen [aut], Wendy Post [ctb], Ernst Wit [aut]
Date/Publication: 2022-11-24 09:30:02 UTC
Packaged: 2022-11-23 22:34:56 UTC; SpyrosBalafas

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New package SUSY with initial version 0.1.0
Package: SUSY
Version: 0.1.0
Title: Surrogate Synchrony
Suggests: gtools
Description: Computes synchrony as windowed cross-correlation based on two-dimensional time series in a text file you can upload. 'SUSY' works as described in Tschacher & Meier (2020) <doi:10.1080/10503307.2019.1612114>.
License: GPL-2
URL: https://wtschacher.github.io/SUSY/
BugReports: https://github.com/wtschacher/SUSY/issues
NeedsCompilation: no
Packaged: 2022-11-22 09:10:45 UTC; jan
Author: Wolfgang Tschacher [aut, cre], David Tschacher [ctb], Jan Gorecki [ctb]
Maintainer: Wolfgang Tschacher <wolfgang.tschacher@upd.unibe.ch>
Repository: CRAN
Date/Publication: 2022-11-24 09:00:13 UTC

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New package rib with initial version 0.18.2
Package: rib
Title: An Implementation of 'Interactive Brokers' API
Version: 0.18.2
Description: Allows interaction with 'Interactive Brokers' 'Trader Workstation' <https://interactivebrokers.github.io/tws-api/>. Handles the connection over the network and the exchange of messages. Data is encoded and decoded between user and wire formats. Data structures and functionality closely mirror the official implementations.
Depends: R (>= 3.4)
Imports: R6 (>= 2.4)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/lbilli/rib
BugReports: https://github.com/lbilli/rib/issues
NeedsCompilation: no
Packaged: 2022-11-23 12:32:13 UTC; luca
Author: Luca Billi [aut, cre]
Maintainer: Luca Billi <noreply.section+dev@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-24 09:00:02 UTC

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Wed, 23 Nov 2022

New package TransTGGM with initial version 1.0.0
Package: TransTGGM
Title: Transfer Learning for Tensor Graphical Models
Version: 1.0.0
Description: Tensor Gaussian graphical models (GGMs) have important applications in numerous areas, which can interpret conditional independence structures within tensor data. Yet, the available tensor data in one single study is often limited due to high acquisition costs. Although relevant studies can provide additional data, it remains an open question how to pool such heterogeneous data. This package implements a transfer learning framework for tensor GGMs, which takes full advantage of informative auxiliary domains even when non-informative auxiliary domains are present, benefiting from the carefully designed data-adaptive weights. Reference: Ren, M., Zhen Y., and Wang J. (2022). "Transfer learning for tensor graphical models" <arXiv:2211.09391>.
License: GPL-2
Encoding: UTF-8
Imports: MASS, Matrix, rTensor, Tlasso, glasso, doParallel,expm
LazyData: true
LazyLoad: yes
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-11-22 11:08:00 UTC; 10259
Author: Mingyang Ren [aut, cre] , Yaoming Zhen [aut], Junhui Wang [aut]
Maintainer: Mingyang Ren <renmingyang17@mails.ucas.ac.cn>
Repository: CRAN
Date/Publication: 2022-11-23 11:30:09 UTC

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New package sepkoski with initial version 0.0.1
Package: sepkoski
Title: Sepkoski's Fossil Marine Animal Genera Compendium
Version: 0.0.1
Description: Stratigraphic ranges of fossil marine animal genera from Sepkoski's (2002) published compendium. No changes have been made to any taxonomic names. However, first and last appearance intervals have been updated to be consistent with stages of the International Geological Timescale. Functionality for generating a plot of Sepkoski's evolutionary fauna is also included. For specific details on the compendium see: Sepkoski, J. J. (2002). A compendium of fossil marine animal genera. Bulletins of American Paleontology, 363, pp. 1–560 (ISBN 0-87710-450-6). Access: <https://www.biodiversitylibrary.org/item/40634#page/5/mode/1up>.
License: GPL (>= 3)
Language: en-GB
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
URL: https://github.com/LewisAJones/sepkoski
BugReports: https://github.com/LewisAJones/sepkoski/issues
Suggests: covr, knitr, testthat (>= 3.0.0), vdiffr (>= 1.0.0)
NeedsCompilation: no
Packaged: 2022-11-22 14:44:55 UTC; lewis
Author: Lewis A. Jones [aut, cre]
Maintainer: Lewis A. Jones <LewisA.Jones@outlook.com>
Repository: CRAN
Date/Publication: 2022-11-23 11:50:02 UTC

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New package RsSimulx with initial version 2.0.2
Package: RsSimulx
Title: Extension of 'lixoftConnectors' for 'Simulx'
Version: 2.0.2
Maintainer: Frano Mihaljevic <support@lixoft.com>
Description: Provides useful tools which supplement the use of 'Simulx' software and 'R' connectors ('Monolix Suite'). 'Simulx' is an easy, efficient and flexible application for clinical trial simulations. You need 'Simulx' software to be installed in order to use 'RsSimulx' package. Among others tasks, 'RsSimulx' provides the same functions as package 'mlxR' does with a compatibility with 'Simulx' software.
SystemRequirements: 'Simulx' (<http://simulx.lixoft.com/>)
Depends: R (>= 3.0.0), ggplot2
Imports: gridExtra, utils, stats, grDevices
Encoding: UTF-8
LazyData: true
License: BSD_2_clause + file LICENSE
Copyright: LIXOFT
Suggests: testthat
NeedsCompilation: no
Packaged: 2022-11-22 14:31:25 UTC; FranoMihaljevic
Author: Clemence Pinaud [aut], Jonathan Chauvin [aut], Marc Lavielle [ctb], Frano Mihaljevic [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-23 11:50:05 UTC

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New package HhP with initial version 1.0.0
Package: HhP
Title: Hierarchical Heterogeneity Analysis via Penalization
Version: 1.0.0
Description: In medical research, supervised heterogeneity analysis has important implications. Assume that there are two types of features. Using both types of features, our goal is to conduct the first supervised heterogeneity analysis that satisfies a hierarchical structure. That is, the first type of features defines a rough structure, and the second type defines a nested and more refined structure. A penalization approach is developed, which has been motivated by but differs significantly from penalized fusion and sparse group penalization. Reference: Ren, M., Zhang, Q., Zhang, S., Zhong, T., Huang, J. & Ma, S. (2022). "Hierarchical cancer heterogeneity analysis based on histopathological imaging features". Biometrics, <doi:10.1111/biom.13426>.
License: GPL-2
Encoding: UTF-8
Imports: MASS, Matrix, fmrs, methods
LazyData: true
LazyLoad: yes
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-11-22 11:27:35 UTC; 10259
Author: Mingyang Ren [aut, cre] , Qingzhao Zhang [aut], Sanguo Zhang [aut], Tingyan Zhong [aut], Jian Huang [aut], Shuangge Ma [aut]
Maintainer: Mingyang Ren <renmingyang17@mails.ucas.ac.cn>
Repository: CRAN
Date/Publication: 2022-11-23 11:30:11 UTC

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New package ggredist with initial version 0.0.2
Package: ggredist
Title: Scales, Geometries, and Extensions of 'ggplot2' for Election Mapping
Version: 0.0.2
Description: Provides 'ggplot2' extensions for political map making. Implements new geometries for groups of simple feature geometries. Adds palettes and scales for red to blue color mapping and for discrete maps. Implements tools for easy label generation and placement, automatic map coloring, and themes.
Depends: R (>= 2.10)
Imports: grDevices, ggplot2, scales
Suggests: sf, geos, redist
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/alarm-redist/ggredist, https://alarm-redist.org/ggredist/
BugReports: https://github.com/alarm-redist/ggredist/issues
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-23 01:31:33 UTC; chris
Author: Cory McCartan [aut], Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2022-11-23 11:20:02 UTC

More information about ggredist at CRAN
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New package genekitr with initial version 1.0.8
Package: genekitr
Title: Gene Analysis Toolkit
Version: 1.0.8
Maintainer: Yunze Liu <jieandze1314@gmail.com>
URL: https://www.genekitr.fun/
BugReports: https://github.com/GangLiLab/genekitr/issues
Description: An analysis toolkit focused on genes. It mainly includes five features (search, convert, analysis, plot, and export). The user just needs to input feature id ('entrez', 'symbol', 'ensembl' or 'uniprot') to retrieve feature information and 'PubMed'<https://pubmed.ncbi.nlm.nih.gov/> records, to convert id types, to easily handle gene enrichment analysis and publication-level figures, to plot group interaction and export results as sheets in one 'excel' file to easily share and communicate with others.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: clusterProfiler, dplyr, europepmc, fst, geneset, ggplot2, ggraph, igraph, magrittr, openxlsx, stringr, stringi, tidyr, VennDiagram, rlang
Suggests: AnnotationDbi, BiocManager, cowplot, ComplexUpset, data.table, forcats, fgsea, futile.logger, ggplotify, ggsci, ggupset, ggrepel, ggridges, ggnewscale, GOplot, GOSemSim, labeling, msigdbr, pheatmap, tm, treemap, RColorBrewer, rappdirs, RCurl, reshape2, rio, rrvgo, scales, stats, testthat (>= 3.0.0), tibble, wordcloud, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-11-23 01:51:56 UTC; reedliu1
Author: Yunze Liu [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-23 11:30:02 UTC

More information about genekitr at CRAN
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New package facebookleadsR with initial version 0.1.0
Package: facebookleadsR
Title: Get Facebook Leads Ads Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Facebook Leads Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-22 18:52:34 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-23 12:00:01 UTC

More information about facebookleadsR at CRAN
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New package csutil with initial version 2022.11.24
Package: csutil
Title: Common Base-R Problems Relating to Lists
Version: 2022.11.24
Description: Utility functions that help with common base-R problems relating to lists. Lists in base-R are very flexible. This package provides functions to quickly and easily characterize types of lists. That is, to identify if all elements in a list are null, data.frames, lists, or fully named lists. Other functionality is provided for the handling of lists, such as the easy splitting of lists into equally sized groups, and the unnesting of data.frames within fully named lists.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
URL: https://www.csids.no/csutil/, https://github.com/csids/csutil
BugReports: https://github.com/csids/csutil/issues
Encoding: UTF-8
Imports: data.table, magrittr, ggplot2
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-23 07:32:04 UTC; rstudio
Author: Richard Aubrey White [aut, cre] , CSIDS [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>
Repository: CRAN
Date/Publication: 2022-11-23 11:30:06 UTC

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New package csdata with initial version 2022.11.22
Package: csdata
Title: Structural Data for Norway
Version: 2022.11.22
Description: Datasets relating to population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2020.
URL: https://www.csids.no/csdata/, https://github.com/csids/csdata
BugReports: https://github.com/csids/csdata/issues
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, stats, utils
Suggests: testthat, broom, crayon, dplyr, forcats, fs, geojsonio, ggplot2, glue, gt, knitr, lubridate, magrittr, mapproj, methods, ncdf4, purrr, readxl, reshape2, rgeos, rmarkdown, rmapshaper, rstudioapi, stringr, sp, sf, tidyr, zoo
VignetteBuilder: knitr
Date/Publication: 2022-11-23 11:10:02 UTC
NeedsCompilation: no
Packaged: 2022-11-21 10:27:44 UTC; rstudio
Author: Richard Aubrey White [aut, cre] , Chi Zhang [aut]
Maintainer: Richard Aubrey White <hello@rwhite.no>
Repository: CRAN

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New package blocs with initial version 0.1.0
Package: blocs
Title: Estimate and Visualize Voting Blocs' Partisan Contributions
Version: 0.1.0
Maintainer: Cole Tanigawa-Lau <coletl@stanford.edu>
Description: Functions to combine data on voting blocs' size, turnout, and vote choice to estimate each bloc's vote contributions to the Democratic and Republican parties. The package also includes functions for uncertainty estimation and plotting. Users may define voting blocs along a discrete or continuous variable. The package implements methods described in Grimmer, Marble, and Tanigawa-Lau (2022) <doi:10.31235/osf.io/c9fkg>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: devtools (>= 2.4.3), questionr (>= 0.7.7), reldist (>= 1.7.0), testthat (>= 3.1.3)
Imports: collapse (>= 1.7.6), dplyr (>= 1.0.6), ggplot2 (>= 3.2.0), ks (>= 1.13.4), mgcv (>= 1.8.39), rlang (>= 1.0.0), tibble (>= 3.0.0)
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2022-11-23 00:46:18 UTC; cole
Author: Justin Grimmer [aut], Will Marble [aut] , Cole Tanigawa-Lau [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-23 11:20:06 UTC

More information about blocs at CRAN
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New package annotator with initial version 0.0.1
Package: annotator
Title: Image Annotation and Polygon Outlining using Free Drawing
Version: 0.0.1
Description: Provides functions to create image annotations through polygon outlining. Annotator has the same function as 'graphics::locator()' but achieves its purpose through drawing, rather than multiple mouse clicks. It is based on the 'htmlwidgets' package and 'fabric.js' JavaScript library <http://fabricjs.com/>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0),
Imports: methods, utils, stringr, glue, imager, shiny, htmlwidgets, knitr
Suggests: testthat (>= 3.0.0), sf, terra, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2022-11-22 21:09:33 UTC; mihai
Author: Mihai Valcu [aut, cre]
Maintainer: Mihai Valcu <mvalcu@gwdg.de>
Repository: CRAN
Date/Publication: 2022-11-23 12:00:07 UTC

More information about annotator at CRAN
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Tue, 22 Nov 2022

New package mapfit with initial version 1.0.0
Package: mapfit
Version: 1.0.0
Title: PH/MAP Parameter Estimation
Maintainer: Hiroyuki Okamura <okamu@hiroshima-u.ac.jp>
Description: Estimation methods for phase-type distribution (PH) and Markovian arrival process (MAP) from empirical data (point and grouped data) and density function. The tool is based on the following researches: Okamura et al. (2009) <doi:10.1109/TNET.2008.2008750>, Okamura and Dohi (2009) <doi:10.1109/QEST.2009.28>, Okamura et al. (2011) <doi:10.1016/j.peva.2011.04.001>, Okamura et al. (2013) <doi:10.1002/asmb.1919>, Horvath and Okamura (2013) <doi:10.1007/978-3-642-40725-3_10>, Okamura and Dohi (2016) <doi:10.15807/jorsj.59.72>.
Encoding: UTF-8
License: MIT + file LICENSE
Imports: R6, deformula, Matrix, methods, Rcpp
URL: https://github.com/okamumu/mapfit
BugReports: https://github.com/okamumu/mapfit/issues
Suggests: covr, ggplot2, testthat (>= 3.0.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-11-22 08:02:30 UTC; r346502
Author: Hiroyuki Okamura [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-22 14:50:02 UTC

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New package GETdesigns with initial version 1.0.0
Package: GETdesigns
Title: Generalized Extended Triangular Designs ('GETdesigns')
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: Since their introduction by Bose and Nair (1939) <https://www.jstor.org/stable/40383923>, partially balanced incomplete block (PBIB) designs remain an important class of incomplete block designs. The concept of association scheme was used by Bose and Shimamoto (1952) <doi:10.1080/01621459.1952.10501161> for the classification of these designs. The constraint of resources always motivates the experimenter to advance towards PBIB designs, more specifically to higher associate class PBIB designs from balanced incomplete block designs. It is interesting to note that many times higher associate PBIB designs perform better than their counterpart lower associate PBIB designs for the same set of parameters v, b, r, k and lambda_i (i=1,2...m). This package contains functions named GETD() for generating m-associate (m>=2) class PBIB designs along with parameters (v, b, r, k and lambda_i, i = 1, 2,…,m) based on Generalized Triangular (GT) Association Scheme. It also calculates the [...truncated...]
Suggests: MASS
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2022-11-22 08:21:32 UTC; Ashutosh
Author: Mohd Harun [aut, ctb], Cini Varghese [aut, ctb], Ashutosh Dalal [aut, cre]
Date/Publication: 2022-11-22 14:50:06 UTC

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New package ENMTools with initial version 1.0.7
Package: ENMTools
Title: Analysis of Niche Evolution using Niche and Distribution Models
Version: 1.0.7
Date: 2022-11-18
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
LazyData: TRUE
Imports: rgeos, knitr, ggplot2, gridExtra, lhs, magrittr, ENMeval, sp, spatstat.geom, spatstat.random, ggpubr, rgdal, forcats
Depends: raster, dismo
Suggests: testthat, hypervolume, leaflet, mgcv, ecospat (>= 3.2.1), randomForest, ranger, caret, CalibratR, ape, ResourceSelection, fields, reshape2, vip, pdp, fastshap, viridis, progress
NeedsCompilation: no
Packaged: 2022-11-22 01:45:19 UTC; danwarren
Author: Dan Warren [aut, cre] , Nick Matzke [ctb], Marcel Cardillo [ctb], John Baumgartner [ctb], Linda Beaumont [ctb], Nicholas Huron [ctb], Marianna Simoes [ctb], Teresa Iglesias [ctb], Russell Dinnage [aut]
Repository: CRAN
Date/Publication: 2022-11-22 14:40:02 UTC

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New package bsicons with initial version 0.1
Package: bsicons
Title: Easily Work with 'Bootstrap' Icons
Version: 0.1
Description: Easily use 'Bootstrap' icons inside 'Shiny' apps and 'R Markdown' documents. More generally, icons can be inserted in any 'htmltools' document through inline 'SVG'.
License: MIT + file LICENSE
URL: https://github.com/rstudio/bsicons
BugReports: https://github.com/rstudio/bsicons/issues
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: htmltools
Suggests: testthat, withr, processx, webshot2, bslib
NeedsCompilation: no
Packaged: 2022-11-21 23:47:03 UTC; cpsievert
Author: Carson Sievert [cre, aut] , RStudio [cph, fnd], Mark Otto [cph]
Maintainer: Carson Sievert <carson@rstudio.com>
Repository: CRAN
Date/Publication: 2022-11-22 15:00:02 UTC

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New package ASRgenomics with initial version 1.1.2
Package: ASRgenomics
Title: 'ASReml-R' Genomics Tools
Version: 1.1.2
Description: Presents a series of molecular and genetic routines in the R environment with the aim of assisting in analytical pipelines before and after the use of 'asreml' or another library to perform analyses such as Genomic Selection or Genome-Wide Association Analyses. Methods and examples are described in Gezan, Oliveira, Galli, and Murray (2022) <https://asreml.kb.vsni.co.uk/wp-content/uploads/sites/3/ASRgenomics_Manual.pdf>.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Imports: AGHmatrix, cowplot, crayon, data.table, ellipse, factoextra, ggplot2, Matrix, methods, scattermore, stats, superheat, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
Language: en-US
NeedsCompilation: no
Packaged: 2022-11-21 15:22:22 UTC; giova
Author: Salvador Gezan [aut, cre], Darren Murray [aut], Amanda Avelar de Oliveira [aut], Giovanni Galli [aut], VSN International [cph]
Maintainer: Salvador Gezan <salvador.gezan@vsni.co.uk>
Repository: CRAN
Date/Publication: 2022-11-22 14:20:15 UTC

More information about ASRgenomics at CRAN
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New package allomr with initial version 0.1.0
Package: allomr
Title: Removing Allometric Effects of Body Size in Morphological Analysis
Version: 0.1.0
Description: Implementation of the technique of Lleonart et al. (2000) <doi:10.1006/jtbi.2000.2043> to scale body measurements that exhibit an allometric growth. This procedure is a theoretical generalization of the technique used by Thorpe (1975) <doi:10.1111/j.1095-8312.1975.tb00732.x> and Thorpe (1976) <doi:10.1111/j.1469-185X.1976.tb01063.x>.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-21 21:55:00 UTC; ping
Author: Saemi Schaer [aut, cre, cph]
Maintainer: Saemi Schaer <saemi.schaer@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-22 14:20:12 UTC

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New package tidyDisasters with initial version 0.1.1
Package: tidyDisasters
Title: Disaster Data Set Including FEMA, EMDAT and GTD Information
Version: 0.1.1
Description: Pre-processed data that contains a queryable data set with Federal Emergency Management Agency (FEMA), Emergency Events Database (EMDAT) and the Global Terrorism Database (GTD) merged. The data set contains the reported natural and human made disasters that report 3 or more people killed in the United States of America.
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: false
Suggests: conflicted, gghighlight, knitr, lubridate, rmarkdown, tidyverse,
VignetteBuilder: knitr
License: MIT + file LICENSE
BugReports: https://github.com/ccani007/tidyDisasters/issues/
URL: https://ccani007.github.io/tidyDisasters/
NeedsCompilation: no
Packaged: 2022-11-21 18:36:36 UTC; catalinacanizares
Author: Catalina Canizares [aut, cre] , Mark J. Macgowan [aut] , Gabriel Odom [aut]
Maintainer: Catalina Canizares <ccani007@fiu.edu>
Repository: CRAN
Date/Publication: 2022-11-22 14:00:02 UTC

More information about tidyDisasters at CRAN
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New package onetime with initial version 0.1.0
Package: onetime
Title: Run Code Only Once
Version: 0.1.0
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Description: Allows code to be run only once on a given computer, using lockfiles. Typical use cases include startup messages shown only when a package is loaded for the very first time.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rappdirs, filelock
URL: https://github.com/hughjonesd/onetime, https://hughjonesd.github.io/onetime/
BugReports: https://github.com/hughjonesd/onetime/issues
Suggests: callr, covr, devtools, mockr, rlang, testthat (>= 2.1.0), withr
NeedsCompilation: no
Packaged: 2022-11-21 18:16:16 UTC; david
Repository: CRAN
Date/Publication: 2022-11-22 14:00:05 UTC

More information about onetime at CRAN
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New package fetchGoogleAnalyticsR with initial version 0.1.0
Package: fetchGoogleAnalyticsR
Title: Get Data from Google Analytics via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Google Analytics using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-21 17:16:19 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-22 14:00:09 UTC

More information about fetchGoogleAnalyticsR at CRAN
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New package naryn with initial version 2.6.12
Package: naryn
Title: Native Access Medical Record Retriever for High Yield Analytics
Version: 2.6.12
Description: A toolkit for medical records data analysis. The 'naryn' package implements an efficient data structure for storing medical records, and provides a set of functions for data extraction, manipulation and analysis.
License: MIT + file LICENSE
BugReports: https://github.com/tanaylab/naryn/issues
Depends: R (>= 3.0.0), utils
Imports: dplyr, glue, lifecycle, magrittr, parallel, purrr, stringr, tidyr
Suggests: brio, callr, devtools, forcats, knitr, readr, rlang, rmarkdown, spelling, testthat (>= 3.0.4), tibble, tools, withr
VignetteBuilder: knitr
Config/testthat/parallel: false
Config/testthat/start-first: logical_tracks, w_test-options, x_multiple_db
Encoding: UTF-8
Language: en-US
LazyLoad: yes
NeedsCompilation: yes
OS_type: unix
SystemRequirements: C++11
Packaged: 2022-11-21 15:22:40 UTC; aviezerl
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Ben Gilat [aut], Netta Mendelson-Cohen [ctb], Rami Jaschek [ctb], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Repository: CRAN
Date/Publication: 2022-11-22 09:10:11 UTC

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New package et.nwfva with initial version 0.1.1
Package: et.nwfva
Title: Forest Yield Tables for Northwest Germany and their Application
Version: 0.1.1
Description: The new yield tables developed by the Northwest German Forest Research Institute (NW-FVA) provide a forest management tool for the five main commercial tree species oak, beech, spruce, Douglas-fir and pine for northwestern Germany. The new method applied for deriving yield tables combines measurements of growth and yield trials with growth simulations using a state-of-the-art single-tree growth simulator. By doing so, the new yield tables reflect the current increment level and the recommended graduated thinning from above is the underlying management concept. The yield tables are provided along with methods for deriving the site index and for interpolating between age and site indices and extrapolating beyond age and site index ranges. The inter-/extrapolations are performed traditionally by the rule of proportion or with a functional approach.
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, tinytest
License: GPL (>= 2)
URL: https://github.com/rnuske/et.nwfva
BugReports: https://github.com/rnuske/et.nwfva/issues
Encoding: UTF-8
Language: de
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2022-11-15 11:41:33 UTC; rnuske
Author: Robert Nuske [aut, cre] , Kai Staupendahl [aut] , Matthias Albert [aut] , Nordwestdeutsche Forstliche Versuchsanstalt [cph, fnd]
Maintainer: Robert Nuske <robert.nuske@mailbox.org>
Repository: CRAN
Date/Publication: 2022-11-22 09:10:24 UTC

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New package breakaway with initial version 4.8.4
Package: breakaway
Title: Species Richness Estimation and Modeling
Version: 4.8.4
Date: 2022-11-17
Description: Understanding the drivers of microbial diversity is an important frontier of microbial ecology, and investigating the diversity of samples from microbial ecosystems is a common step in any microbiome analysis. 'breakaway' is the premier package for statistical analysis of microbial diversity. 'breakaway' implements the latest and greatest estimates of species richness, described in Willis and Bunge (2015) <doi:10.1111/biom.12332>, Willis et al. (2017) <doi:10.1111/rssc.12206>, and Willis (2016) <arXiv:1604.02598>, as well as the most commonly used estimates, including the objective Bayes approach described in Barger and Bunge (2010) <doi:10.1214/10-BA527>.
License: GPL-2
BugReports: https://github.com/adw96/breakaway/issues
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, graphics, lme4, magrittr, MASS, phyloseq, stats, tibble, utils
Suggests: devtools, knitr, plyr, RCurl, rmarkdown, testthat, dplyr
VignetteBuilder: knitr
URL: https://adw96.github.io/breakaway/
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-21 18:52:52 UTC; sarahteichman
Author: Amy D Willis [aut, cre], Bryan D Martin [aut], Pauline Trinh [aut], Sarah Teichman [aut], David Clausen [aut], Kathryn Barger [aut], John Bunge [aut]
Maintainer: Amy D Willis <adwillis@uw.edu>
Repository: CRAN
Date/Publication: 2022-11-22 09:10:27 UTC

More information about breakaway at CRAN
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New package spdl with initial version 0.0.1
Package: spdl
Title: Wrapper for 'RcppSpdlog' Functions
Description: Logging functions in 'RcppSpdlog' provide access to the logging functionality from the 'spdlog' 'C++' library. This package offers shorter convenience wrappers for the 'R' functions which match the 'C++' functions, namely via, say, 'spdl::debug()' at the debug level. The actual formatting is done by the 'fmt::format()' function from the 'fmtlib' library (that is also 'std::format()' in 'C++20' or later).
Version: 0.0.1
Date: 2022-11-21
License: GPL (>= 2)
Imports: RcppSpdlog (>= 0.0.10)
NeedsCompilation: no
Packaged: 2022-11-21 13:13:49 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2022-11-22 08:40:02 UTC

More information about spdl at CRAN
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New package flashr with initial version 0.1.0
Package: flashr
Title: Create Flashcards of Terms and Definitions
Version: 0.1.0
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>
Description: Provides functions for creating flashcard decks of terms and definitions. This package creates HTML slides using 'revealjs' that can be viewed in the 'RStudio' viewer or a web browser. Users can create flashcards from either existing built-in decks or create their own from CSV files or vectors of function names.
License: MIT + file LICENSE
URL: https://github.com/JeffreyRStevens/flashr, https://jeffreyrstevens.github.io/flashr/
BugReports: https://github.com/JeffreyRStevens/flashr/issues
Depends: R (>= 2.10)
Imports: cli, curl, gh, httr, memoise, revealjs, rmarkdown, testthat
Suggests: covr, knitr, withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-21 14:03:35 UTC; jstevens
Author: Jeffrey R. Stevens [aut, cre, cph]
Repository: CRAN
Date/Publication: 2022-11-22 08:50:02 UTC

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Mon, 21 Nov 2022

New package shapeR with initial version 1.0-1
Package: shapeR
Title: Collection and Analysis of Otolith Shape Data
Version: 1.0-1
Date: 2022-11-21
Maintainer: Lisa Anne Libungan <lisa.libungan@gmail.com>
Depends: R (>= 3.0.2)
Imports: plotrix, jpeg, pixmap, wavethresh, methods, vegan, MASS
Description: Studies otolith shape variation among fish populations. Otoliths are calcified structures found in the inner ear of teleost fish and their shape has been known to vary among several fish populations and stocks, making them very useful in taxonomy, species identification and to study geographic variations. The package extends previously described software used for otolith shape analysis by allowing the user to automatically extract closed contour outlines from a large number of images, perform smoothing to eliminate pixel noise described in Haines and Crampton (2000) <doi:10.1111/1475-4983.00148>, choose from conducting either a Fourier or wavelet see Gençay et al (2001) <doi:10.1016/S0378-4371(00)00463-5> transform to the outlines and visualize the mean shape. The output of the package are independent Fourier or wavelet coefficients which can be directly imported into a wide range of statistical packages in R. The package might prove useful in studies of any two dimensional [...truncated...]
License: GPL (>= 2)
URL: https://github.com/lisalibungan/shapeR, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0121102
Packaged: 2022-11-21 18:54:49 UTC; lisa
Author: Lisa Anne Libungan [aut, cre], Snaebjorn Palsson [aut, ths]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-11-21 22:30:04 UTC
Encoding: UTF-8

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New package multiness with initial version 1.0.1
Package: multiness
Title: MULTIplex NEtworks with Shared Structure
Version: 1.0.1
Description: Model fitting and simulation for Gaussian and logistic inner product MultiNeSS models for multiplex networks. The package implements a convex fitting algorithm with fully adaptive parameter tuning, including options for edge cross-validation. For more details see MacDonald et al. (2020).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: glmnet (>= 4.0.2), Matrix (>= 1.1.0), RSpectra (>= 0.16.0),
Depends: R (>= 3.6.0)
URL: https://github.com/peterwmacd/multiness/
BugReports: https://github.com/peterwmacd/multiness/issues/
NeedsCompilation: no
Packaged: 2022-11-21 15:33:52 UTC; pwmacdon
Author: Peter W. MacDonald [aut, cre]
Maintainer: Peter W. MacDonald <pwmacdon@umich.edu>
Repository: CRAN
Date/Publication: 2022-11-21 22:00:10 UTC

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New package SourceSet with initial version 0.1.5
Package: SourceSet
Title: A Graphical Model Approach to Identify Primary Genes in Perturbed Biological Pathways
Version: 0.1.5
Date: 2022-11-21
Maintainer: Elisa Salviato <elisa.salviato.88@gmail.com>
Description: The algorithm pursues the identification of the set of variables driving the differences in two different experimental conditions (i.e., the primary genes) within a graphical model context. It uses the idea of simultaneously looking for the differences between two multivariate normal distributions in all marginal and conditional distributions associated with a decomposable graph, which represents the pathway under exam. The implementation accommodates genomics specific issues (low sample size and multiple testing issues) and provides a number of functions offering numerical and visual summaries to help the user interpret the obtained results. In order to use the (optional) 'Cytoscape' functionalities, the suggested 'r2cytoscape' package must be installed from the 'GitHub' repository ('devtools::install_github('cytoscape/r2cytoscape')'). More details in Salviato et al., (2020) <doi:10.1371/journal.pcbi.1007357> and Djordjilovic et al., (2022) <doi:10.1016/j.jmva.2022.104973> [...truncated...]
Depends: R (>= 2.10)
Imports: gRbase, progress, reshape2, graph, igraph, gtools, methods, plyr, scales
License: AGPL-3
Encoding: UTF-8
LazyData: true
Suggests: AnnotationDbi, networkD3, ggplot2, grDevices, Rgraphviz, knitr, rmarkdown, r2cytoscape, BiocStyle, Biobase, graphite, hgu95av2.db, ALL, mvtnorm, org.Hs.eg.db
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-11-21 10:07:19 UTC; esalviat
Author: Elisa Salviato [aut, cre], Vera Djordjilovic [aut], Chiara Romualdi [aut], Monica Chiogna [aut]
Repository: CRAN
Date/Publication: 2022-11-21 11:30:02 UTC

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New package vMF with initial version 0.0.1
Package: vMF
Title: Sampling from von Mises-Fisher Distribution
Version: 0.0.1
Date: 2022-11-20
Description: Provides fast sampling from von Mises-Fisher distribution using the method proposed by Andrew T.A Wood (1994) <doi:10.1080/03610919408813161>.
License: GPL-3
Encoding: UTF-8
BugReports: https://github.com/ahoundetoungan/vMF/issues
URL: https://github.com/ahoundetoungan/vMF
Depends: R (>= 3.5.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, BH
Suggests: movMF, rbenchmark, knitr, rmarkdown, ggplot2, ddpcr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-19 17:56:11 UTC; haache
Author: Elysee Aristide Houndetoungan [cre, aut]
Maintainer: Elysee Aristide Houndetoungan <ariel92and@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-21 10:50:02 UTC

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New package scistreer with initial version 1.0.0
Package: scistreer
Title: Maximum-Likelihood Perfect Phylogeny Inference at Scale
URL: https://github.com/kharchenkolab/scistreer, https://kharchenkolab.github.io/scistreer/
Version: 1.0.0
Description: Fast maximum-likelihood phylogeny inference from noisy single-cell data using the 'ScisTree' algorithm by Yufeng Wu (2019) <doi:10.1093/bioinformatics/btz676>. 'scistreer' provides an 'R' interface and improves speed via 'Rcpp' and 'RcppParallel', making the method applicable to massive single-cell datasets (>10,000 cells).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: ape, dplyr, ggplot2, ggtree, igraph, parallelDist, patchwork, phangorn, Rcpp, reshape2, RcppParallel, stringr, tidygraph
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
NeedsCompilation: yes
SystemRequirements: C++11, GNU make
Author: Teng Gao [cre, aut], Evan Biederstedt [aut], Peter Kharchenko [aut], Yufeng Wu [aut]
Maintainer: Teng Gao <tgaoteng@gmail.com>
Packaged: 2022-11-19 17:56:13 UTC; teng
Repository: CRAN
Date/Publication: 2022-11-21 10:50:05 UTC

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New package PEIMAN2 with initial version 0.1.0
Package: PEIMAN2
Title: Post-Translational Modification Enrichment, Integration, and Matching Analysis
Version: 0.1.0
Description: Functions and mined database from 'UniProt' focusing on post-translational modifications to do single enrichment analysis (SEA) and protein set enrichment analysis (PSEA). Payman Nickchi, Mehdi Mirzaie, Marc Baumann, Amir Ata Saei, Mohieddin Jafari (2022) <bioRxiv:10.1101/2022.11.09.515610>.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 2.10), tidyverse
Imports: ggplot2, dplyr, glue, lifecycle, purrr, rlang, stringr, graphics, forcats, stats, magrittr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-19 02:31:43 UTC; payma
Author: Mohieddin Jafari [aut], Payman Nickchi [aut, cre]
Maintainer: Payman Nickchi <pnickchi@sfu.ca>
Repository: CRAN
Date/Publication: 2022-11-21 10:30:02 UTC

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New package lazyNumbers with initial version 1.2.0
Package: lazyNumbers
Title: Exact Floating-Point Arithmetic
Version: 1.2.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides a new type of numbers called the lazy numbers. Arithmetic on lazy numbers is exact, contrary to ordinary floating-point arithmetic. The lazy numbers are implemented in 'C++' with the 'CGAL' library (<https://www.cgal.org/>).
License: GPL-3
URL: https://github.com/stla/lazyNumbers
BugReports: https://github.com/stla/lazyNumbers/issues
Imports: methods, Rcpp (>= 1.0.9), stats
LinkingTo: BH, Rcpp, RcppCGAL, RcppEigen
Encoding: UTF-8
SystemRequirements: C++ 17, gmp, mpfr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2022-11-19 11:25:52 UTC; stla
Author: Stephane Laurent [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-21 10:50:08 UTC

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New package changeRangeR with initial version 1.0.0
Package: changeRangeR
Title: Change Metrics for Species Geographic Ranges
Version: 1.0.0
Description: Facilitates workflows to reproducibly transform estimates of species’ distributions into metrics relevant for conservation. For example, combining predictions from species distribution models with other maps of environmental data to characterize the proportion of a species’ range that is under protection, calculating metrics used under the IUCN Criteria A and B guidelines (Area of Occupancy and Extent of Occurrence), and calculating more general metrics such as taxonomic and phylogenetic diversity, as well as endemism. Also facilitates temporal comparisons among biodiversity metrics to inform efforts towards complementarity and consideration of future scenarios in conservation decisions. 'changeRangeR' also provides tools to determine the effects of modeling decisions through sensitivity tests.
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: phylobase, raster, dplyr, rangeModelMetadata, rgeos, sf, sp
Suggests: ape, rgdal, tidyverse, rmarkdown, testthat, tinytex, knitr, picante, wallace, R.utils, tools, dismo
NeedsCompilation: no
Packaged: 2022-11-19 22:42:10 UTC; kass1
Author: Peter J. Galante [aut], Samuel Chang [aut], Andrea Paz [aut], Jamie M. Kass [aut], Matthew Aiello-Lammens [aut], Beth Gerstner [aut], Bethany Johnson [aut], Cory Merow [aut], Elkin Noguera-Urbano [aut], Gonzalo E. Pinilla-Buitrago [aut], Dan Rosauer [...truncated...]
Maintainer: Mary E. Blair <mblair1@amnh.org>
Repository: CRAN
Date/Publication: 2022-11-21 11:00:02 UTC

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New package BIS with initial version 0.3.1
Package: BIS
Title: Programmatic Access to Bank for International Settlements Data
Version: 0.3.1
Description: Provides an interface to data provided by the Bank for International Settlements <https://www.bis.org>, allowing for programmatic retrieval of a large quantity of (central) banking data.
License: CC0
URL: https://www.bis.org
BugReports: https://github.com/stefanangrick/BIS/issues
Suggests: knitr, rmarkdown, ggplot2, zoo
Imports: dplyr, readr, tidyr, tidyselect, rvest, xml2
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-20 06:11:49 UTC; qwerty
Author: Eric Persson [aut], Stefan Angrick [cre]
Maintainer: Stefan Angrick <contact@stefanangrick.net>
Repository: CRAN
Date/Publication: 2022-11-21 10:20:02 UTC

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New package prismjs with initial version 1.0.0
Package: prismjs
Title: Server-Side Syntax Highlighting
Version: 1.0.0
Description: 'Prism' <https://prismjs.com/> is a lightweight, extensible syntax highlighter, built with modern web standards in mind. This package provides server-side rendering in 'R' using 'V8' such that no 'JavaScript' library is required in the resulting 'HTML' documents. Over 400 languages are supported.
License: MIT + file LICENSE
URL: https://github.com/ropensci/prismjs, https://docs.ropensci.org/prismjs/
BugReports: https://github.com/ropensci/prismjs/issues
Encoding: UTF-8
Imports: V8, xml2
Language: en-US
NeedsCompilation: no
Packaged: 2022-11-18 16:32:41 UTC; jeroen
Author: Jeroen Ooms [aut, cre] , Lea Verou [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Repository: CRAN
Date/Publication: 2022-11-21 10:00:02 UTC

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New package histoslider with initial version 0.1
Package: histoslider
Title: A Histogram Slider Input for 'Shiny'
Version: 0.1
Description: A histogram slider input binding for use in 'Shiny'. Currently supports creating histograms from numeric, date, and 'date-time' vectors.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rlang, htmltools, reactR, shiny
Suggests: testthat, shinytest2, bslib
NeedsCompilation: no
Packaged: 2022-11-18 16:47:15 UTC; cpsievert
Author: Carson Sievert [cre, aut] , Samuel Hogg [ctb, cph]
Maintainer: Carson Sievert <cpsievert1@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-21 10:00:05 UTC

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New package hellorust with initial version 1.0.0
Package: hellorust
Title: Minimal Example of Using 'Rust' Code in 'R'
Version: 1.0.0
Description: Template 'R' package that calls out to 'Rust' code in a way that complies with 'CRAN' policy. Includes simple examples of passing numbers and strings from 'Rust' to 'R' and using threads.
License: MIT + file LICENSE
URL: https://github.com/r-rust/hellorust
BugReports: https://github.com/r-rust/hellorust/issues
SystemRequirements: Cargo (rustc package manager)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-11-18 14:46:44 UTC; jeroen
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Repository: CRAN
Date/Publication: 2022-11-21 09:50:02 UTC

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New package formatdown with initial version 0.1.1
Package: formatdown
Title: Formatting Tools for 'rmarkdown' Documents
Version: 0.1.1
Language: en-US
Description: Provides a small set of tools for formatting tasks when creating documents in 'rmarkdown' or 'quarto'. Convert the elements of a numerical vector to character strings in which the numbers are formatted using powers-of-ten notation in scientific or engineering form and delimited for rendering as inline equations.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
LazyDataCompression: bzip2
Imports: checkmate, data.table, wrapr
Suggests: covr, knitr, rmarkdown, tinytest
VignetteBuilder: knitr
URL: https://github.com/graphdr/formatdown/
BugReports: https://github.com/graphdr/formatdown/issues
NeedsCompilation: no
Packaged: 2022-11-18 14:41:17 UTC; layto
Author: Richard Layton [aut, cre]
Maintainer: Richard Layton <graphdoctor@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-21 09:50:05 UTC

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New package ActiSleep with initial version 0.2.1
Package: ActiSleep
Title: Sleep Duration Estimate Algorithm
Version: 0.2.1
Date: 2022-11-17
Description: Estimate sleep duration using a Pruned Dynamic Programming (PDP) algorithm that quickly and efficiently identifies changepoints. When applied to physical activity data it can identify transitions from wakefulness to sleep and vice versa. Baek, Jonggyu, Banker, Margaret, Jansen, Erica C., She, Xichen, Peterson, Karen E., Pitchford, E. Andrew, Song, Peter X. K. (2021) "An Efficient Segmentation Algorithm to Estimate Sleep Duration from Actigraphy Data" <doi:10.1007/s12561-021-09309-3>.
License: GPL (>= 2)
Imports: dplyr, stringr, lubridate, accelerometry, DBI, RSQLite, lazyeval, methods, utils, tibble
Depends: R (>= 3.5)
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2022-11-18 17:03:53 UTC; mk
Author: Margaret Banker [aut], Nathan Szeto [aut], Jonggyu Baek [aut], Alice Cleynen [aut], Guillem Rigaill [aut], Michel Koskas [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>
Repository: CRAN
Date/Publication: 2022-11-21 10:00:08 UTC

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Sun, 20 Nov 2022

New package geneset with initial version 0.2.7
Package: geneset
Title: Get Gene Sets for Gene Enrichment Analysis
Version: 0.2.7
Maintainer: Yunze Liu <jieandze1314@gmail.com>
URL: https://github.com/GangLiLab/geneset
BugReports: https://github.com/GangLiLab/geneset/issues
Description: Gene sets are fundamental for gene enrichment analysis. The package 'geneset' enables querying gene sets from public databases including 'GO' (Gene Ontology Consortium. (2004) <doi:10.1093/nar/gkh036>), 'KEGG' (Minoru et al. (2000) <doi:10.1093/nar/28.1.27>), 'WikiPathway' (Marvin et al. (2020) <doi:10.1093/nar/gkaa1024>), 'MsigDb' (Arthur et al. (2015) <doi:10.1016/j.cels.2015.12.004>), 'Reactome' (David et al. (2011) <doi:10.1093/nar/gkq1018>), 'MeSH' (Ish et al. (2014) <doi:10.4103/0019-5413.139827>), 'DisGeNET' (Janet et al. (2017) <doi:10.1093/nar/gkw943>), 'Disease Ontology' (Lynn et al. (2011) <doi:10.1093/nar/gkr972>), 'Network of Cancer Genes' (Dimitra et al. (2019) <doi:10.1186/s13059-018-1612-0>) and 'COVID-19' (Maxim et al. (2020) <doi:10.21203/rs.3.rs-28582/v1>). Gene sets are stored in the list object which provides data frame of 'geneset' and 'geneset_name'. The 'geneset' has two columns of term ID and gene ID. [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: dplyr, RCurl, fst, stringi, stringr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-20 06:26:48 UTC; reedliu1
Author: Yunze Liu [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-20 07:10:07 UTC

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New package eurlex with initial version 0.4.4
Package: eurlex
Title: Retrieve Data on European Union Law
Version: 0.4.4
Description: Access to data on European Union laws and court decisions made easy with pre-defined 'SPARQL' queries and 'GET' requests. See Ovadek (2021) <doi:10.1080/2474736X.2020.1870150> .
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.4.0)
Imports: magrittr, dplyr, xml2, tidyr, httr, curl, rvest, rlang, stringr, readr, pdftools, antiword
Suggests: knitr, rmarkdown, tidytext, wordcloud, purrr, ggplot2, testthat (>= 3.0.0)
URL: https://michalovadek.github.io/eurlex/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-19 13:51:53 UTC; uctqova
Author: Michal Ovadek [aut, cre, cph]
Maintainer: Michal Ovadek <michal.ovadek@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-20 07:10:10 UTC

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Sat, 19 Nov 2022

New package treePlotArea with initial version 1.3.1
Package: treePlotArea
Title: Correction Factors for Tree Plot Areas Intersected by Stand Boundaries
Version: 1.3.1
Description: The German national forest inventory uses angle count sampling, a sampling method first published as `Bitterlich, W.: Die Winkelzählmessung. Allgemeine Forst- und Holzwirtschaftliche Zeitung, 58. Jahrg., Folge 11/12 vom Juni 1947` and extended by Grosenbaugh (<https://academic.oup.com/jof/article-abstract/50/1/32/4684174>) as probability proportional to size sampling. When plots are located near stand boundaries, their sizes and hence their probabilities need to be corrected.
License: BSD_2_clause + file LICENSE
URL: https://gitlab.com/fvafrcu/treePlotArea.git
Depends: R (>= 4.0.0)
Imports: graphics, sf, stats
Suggests: pkgload, plotrix, rmarkdown, rprojroot, RUnit, testthat, tinytest
VignetteBuilder: utils
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-19 07:35:54 UTC; qwer
Author: Andreas Dominik Cullmann [aut, cre], Bernhard Boesch [ctb], Christoph Fischer [ctb], Gerald Kaendler [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>
Repository: CRAN
Date/Publication: 2022-11-19 22:50:02 UTC

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New package isopam with initial version 1.0.0
Package: isopam
Title: Clustering of Sites with Species Data using Indicative Species
Version: 1.0.0
Maintainer: Sebastian Schmidtlein <schmidtlein@kit.edu>
Depends: vegan, cluster, future, future.apply, proxy, methods
Description: Clustering algorithm developed for use with plot inventories of species. It groups plots by indicative species rather than overall species composition. There is an unsupervised and a supervised mode, the latter accepting predefined indicative species and cluster medoids.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-18 23:17:38 UTC; ses
Author: Sebastian Schmidtlein [aut, cre] , Jason Collison [aut], Robin Pfannendoerfer [aut], Lubomir Tichy [ctb]
Repository: CRAN
Date/Publication: 2022-11-19 22:50:06 UTC

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New package Bayesrel with initial version 0.7.5
Package: Bayesrel
Title: Bayesian Reliability Estimation
Version: 0.7.5
Date: 2022-11-18
Description: Functionality for reliability estimates. For 'unidimensional' tests: Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version. For multidimensional tests: omega_t (total) and omega_h (hierarchical). The results include confidence and credible intervals, the probability of a coefficient being larger than a cutoff, and a check for the factor models, necessary for the omega coefficients. The method for the Bayesian 'unidimensional' estimates, except for omega_u, is sampling from the posterior inverse 'Wishart' for the covariance matrix based measures (see 'Murphy', 2007, <https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>. The Bayesian omegas (u, t, and h) are obtained by 'Gibbs' sampling from the conditional posterior distributions of (1) the single factor model and (2) the second-order factor model ('Lee', 2007, <https://onlinelibrary.wiley.com/doi/book/10.1002/9 [...truncated...]
URL: https://github.com/juliuspf/Bayesrel
BugReports: https://github.com/juliuspf/Bayesrel/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: LaplacesDemon, MASS, lavaan, coda, methods, stats, graphics, Rdpack, Rcpp (>= 1.0.4.6)
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 2.10)
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2022-11-18 15:36:58 UTC; julius
Author: Julius M. Pfadt [aut, cre] , Don van den Bergh [aut] , Joris Goosen [aut]
Maintainer: Julius M. Pfadt <julius.pfadt@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-19 12:40:08 UTC

More information about Bayesrel at CRAN
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Fri, 18 Nov 2022

New package mlr3spatiotempcv with initial version 2.0.3
Package: mlr3spatiotempcv
Title: Spatiotemporal Resampling Methods for 'mlr3'
Version: 2.0.3
Description: Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
License: LGPL-3
URL: https://mlr3spatiotempcv.mlr-org.com/, https://github.com/mlr-org/mlr3spatiotempcv, https://mlr3book.mlr-org.com
BugReports: https://github.com/mlr-org/mlr3spatiotempcv/issues
Depends: mlr3 (>= 0.12.0), R (>= 3.5.0)
Imports: checkmate, data.table, ggplot2 (>= 3.4.0), mlr3misc (>= 0.11.0), paradox, R6, utils
Suggests: bbotk, blockCV (>= 2.1.4), caret, ggsci, ggtext, knitr, lgr, mlr3filters, mlr3pipelines, mlr3tuning, patchwork, here, plotly, raster, rgdal, rmarkdown, rpart, sf, skmeans, sperrorest, terra, testthat (>= 3.0.0), vdiffr (>= 1.0.0), withr
VignetteBuilder: knitr
Config/testthat/parallel: true
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-18 16:33:22 UTC; pjs
Author: Patrick Schratz [aut, cre] , Marc Becker [aut] , Jannes Muenchow [ctb] , Michel Lang [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-19 00:20:02 UTC

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New package DynForest with initial version 1.1.0
Package: DynForest
Title: Random Forest with Multivariate Longitudinal Predictors
Version: 1.1.0
Description: Based on random forest principle, 'DynForest' is able to include multiple longitudinal predictors to provide individual predictions. Longitudinal predictors are modeled through the random forest. The methodology is fully described for a survival outcome in: Devaux, Helmer, Dufouil, Genuer & Proust-Lima (2022) <doi: 10.48550/arXiv.2208.05801>.
Imports: DescTools, cmprsk, doParallel, foreach, ggplot2, lcmm, methods, pbapply, pec, prodlim, stringr, survival, zoo
Depends: R (>= 3.5.0)
License: LGPL (>= 3)
LazyData: true
Encoding: UTF-8
URL: https://github.com/anthonydevaux/DynForest
BugReports: https://github.com/anthonydevaux/DynForest/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-14 09:34:01 UTC; antho
Author: Anthony Devaux [aut, cre]
Maintainer: Anthony Devaux <anthony.devaux@u-bordeaux.fr>
Repository: CRAN
Date/Publication: 2022-11-19 00:10:02 UTC

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New package mcmcabn with initial version 0.5
Package: mcmcabn
Title: Flexible Implementation of a Structural MCMC Sampler for DAGs
Version: 0.5
Date: 2022-11-17
Maintainer: Annina Cincera <annina.cincera@math.uzh.ch>
Description: Flexible implementation of a structural MCMC sampler for Directed Acyclic Graphs (DAGs). It supports the new edge reversal move from Grzegorczyk and Husmeier (2008) <doi:10.1007/s10994-008-5057-7> and the Markov blanket resampling from Su and Borsuk (2016) <https://jmlr.org/papers/v17/su16a.html>. It supports three priors: a prior controlling for structure complexity from Koivisto and Sood (2004) <https://dl.acm.org/doi/10.5555/1005332.1005352>, an uninformative prior and a user-defined prior. The three main problems that can be addressed by this R package are selecting the most probable structure based on a cache of pre-computed scores, controlling for overfitting, and sampling the landscape of high scoring structures. It allows us to quantify the marginal impact of relationships of interest by marginalizing out over structures or nuisance dependencies. Structural MCMC seems an elegant and natural way to estimate the true marginal impact, so one can determine if it's [...truncated...]
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: abn, coda, gRbase, ggplot2, cowplot, ggpubr
Suggests: bnlearn, knitr, rmarkdown, ggdag, testthat
VignetteBuilder: knitr
URL: https://www.math.uzh.ch/pages/mcmcabn/
BugReports: https://git.math.uzh.ch/gkratz/mcmcabn/-/issues
NeedsCompilation: no
Packaged: 2022-11-17 11:06:03 UTC; acince
Author: Gilles Kratzer [aut] , Reinhard Furrer [ctb] , Annina Cincera [cre]
Repository: CRAN
Date/Publication: 2022-11-18 23:30:02 UTC

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New package rciplot with initial version 0.1.0
Package: rciplot
Title: Plot Jacobson-Truax Reliable Change Indices
Version: 0.1.0
Description: The concept of reliable and clinically significant change (Jacobson & Truax, 1991) helps you answer the following questions for a sample with two measurements at different points in time (pre & post): Which proportion of my sample has a (considering the reliability of the instrument) probably not-just-by-chance difference in pre- vs. post-scores? Which proportion of my sample does not only change in a statistically significant way (see question one), but also in a clinically significant way (e.g. change from a test score regarded "dysfunctional" to a score regarded "functional")? This package allows you to very easily create a scatterplot of your sample in which the x-axis maps to the pre-scores, the y-axis maps to the post-scores and several graphical elements (lines, colors) allow you to gain a quick overview about reliable changes in these scores. An example of this kind of plot is Figure 2 of Jacobson & Truax (1991). Referenced article: Jacobson, N. S., & Truax, P. [...truncated...]
License: MIT + file LICENSE
URL: https://gitlab.com/REDS1736/rciplot
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, stats, tibble
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-11-17 16:55:28 UTC; max
Author: Maximilian Hagspiel [aut, cre, cph]
Maintainer: Maximilian Hagspiel <maxhag@mailbox.org>
Repository: CRAN
Date/Publication: 2022-11-18 17:10:02 UTC

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New package mlr3mbo with initial version 0.1.1
Package: mlr3mbo
Title: Flexible Bayesian Optimization
Version: 0.1.1
Description: A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>.
License: LGPL-3
URL: https://mlr3mbo.mlr-org.com, https://github.com/mlr-org/mlr3mbo
BugReports: https://github.com/mlr-org/mlr3mbo/issues
Depends: mlr3tuning (>= 0.14.0), R (>= 3.1.0)
Imports: bbotk (>= 0.5.4), checkmate (>= 2.0.0), data.table, lgr (>= 0.3.4), mlr3 (>= 0.14.0), mlr3misc (>= 0.11.0), paradox (>= 0.10.0), R6 (>= 2.4.1)
Suggests: DiceKriging, knitr, lhs, mlr3learners (>= 0.5.4), mlr3pipelines (>= 0.4.2), nloptr, ranger, rgenoud, rmarkdown, rpart, spacefillr, stringi, testthat (>= 3.0.0),
ByteCompile: no
Encoding: UTF-8
Config/testthat/parallel: false
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2022-11-17 10:29:58 UTC; lps
Author: Lennart Schneider [cre, aut] , Jakob Richter [aut] , Marc Becker [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Florian Pfisterer [aut] , Martin Binder [aut], Sebastian Fischer [aut] , Michael H. Buselli [cph], Wessel Dankers [cph], Carlos Fonseca [...truncated...]
Maintainer: Lennart Schneider <lennart.sch@web.de>
Repository: CRAN
Date/Publication: 2022-11-18 10:40:02 UTC

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New package imprinting with initial version 0.1.0
Package: imprinting
Title: Calculate Birth Year-Specific Probabilities of Immune Imprinting to Influenza
Version: 0.1.0
Description: Reconstruct birth-year specific probabilities of immune imprinting to influenza A, using the methods of Gostic et al. (2016) <doi:10.1126/science.aag1322>. Plot, save, or export the calculated probabilities for use in your own research. By default, the package calculates subtype-specific imprinting probabilities, but with user-provided frequency data, it is possible to calculate probabilities for arbitrary kinds of primary exposure to influenza A, including primary vaccination and exposure to specific clades, strains, etc.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.0.9), tidyr (>= 1.2.0), cowplot (>= 1.0.0), ggplot2, tidyselect
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), devtools
VignetteBuilder: knitr
URL: https://cobeylab.github.io/imprinting/
BugReports: https://github.com/cobeylab/imprinting/issues
NeedsCompilation: no
Packaged: 2022-11-17 22:16:03 UTC; alex
Author: Katelyn Gostic [aut], Alex Byrnes [ctb, cre]
Maintainer: Alex Byrnes <abyrnes@uchicago.edu>
Repository: CRAN
Date/Publication: 2022-11-18 10:20:02 UTC

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New package hspm with initial version 1.0-0
Package: hspm
Title: Heterogeneous Spatial Models
Date: 2022-11-14
Version: 1.0-0
Maintainer: Gianfranco Piras <gpiras@mac.com>
Description: Spatial heterogeneity can be specified in various ways. 'hspm' is an ambitious project that aims at implementing various methodologies to control for heterogeneity in spatial models. The current version of 'hspm' deals with spatial and (non-spatial) regimes models. In particular, the package allows to estimate a general spatial regimes model with additional endogenous variables, specified in terms of a spatial lag of the dependent variable, the spatially lagged regressors, and, potentially, a spatially autocorrelated error term. Spatial regime models are estimated by instrumental variables and generalized methods of moments (see Arraiz et al., (2010) <doi:10.1111/j.1467-9787.2009.00618.x>, Bivand and Piras, (2015) <doi:10.18637/jss.v063.i18>, Drukker et al., (2013) <doi:10.1080/07474938.2013.741020>, Kelejian and Prucha, (2010) <doi:10.1016/j.jeconom.2009.10.025>).
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: Formula, sphet, stats, spdep, Matrix
Suggests: splm
License: GPL (>= 2)
URL: https://github.com/gpiras/hspm
BugReports: https://github.com/gpiras/hspm/issues
NeedsCompilation: no
Packaged: 2022-11-17 14:01:39 UTC; gpiras
Author: Gianfranco Piras [aut, cre] , Mauricio Sarrias [aut]
Repository: CRAN
Date/Publication: 2022-11-18 10:50:02 UTC

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New package xpectr with initial version 0.4.3
Package: xpectr
Title: Generates Expectations for 'testthat' Unit Testing
Version: 0.4.3
Description: Helps systematize and ease the process of building unit tests with the 'testthat' package by providing tools for generating expectations.
License: MIT + file LICENSE
URL: https://github.com/ludvigolsen/xpectr
BugReports: https://github.com/ludvigolsen/xpectr/issues
Depends: R (>= 3.5.0)
Imports: clipr (>= 0.7.0), checkmate (>= 2.0.0), dplyr, fansi (>= 0.4.1), lifecycle, plyr, rlang, rstudioapi (>= 0.10), stats, testthat (>= 2.3.1), tibble, utils, withr (>= 2.0.0)
Suggests: data.table, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-17 15:43:45 UTC; au547627
Author: Ludvig Renbo Olsen [aut, cre], R. Mark Sharp [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>
Repository: CRAN
Date/Publication: 2022-11-18 09:50:02 UTC

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New package stepmixr with initial version 0.1.0
Note: -*- Encoding: utf-8 -*-
Package: stepmixr
Title: Interface to 'Python' Package 'stepmix'
Version: 0.1.0
Date: 2022-10-28
Author: Charles-Édouard Giguere [aut, cre], Sacha Morin [aut], Robin Legault [aut]
Maintainer: Charles-Édouard Giguere <ce.giguere@gmail.com>
Depends: R (>= 4.0.0)
Imports: reticulate (>= 1.8)
Description: This is an interface for the 'python' package 'stepmix'. This is a package multi-step estimation of latent class models with measurement and structural components. The package can also be used to fit mixture models with various observed random variables. Largely based on Bakk & Kuha (2018) <doi:10.1007/s11336-017-9592-7>.
License: GPL-2
Encoding: UTF-8
LazyLoad: TRUE
URL: https://github.com/Labo-Lacourse/stepmixr
NeedsCompilation: no
Packaged: 2022-11-17 16:39:19 UTC; gigc2
Repository: CRAN
Date/Publication: 2022-11-18 10:00:02 UTC

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New package exDE with initial version 1.0.0
Package: exDE
Title: Extensible Differential Equations for Mosquito-Borne Pathogen Modeling
Version: 1.0.0
Description: Provides tools to set up modular ordinary and delay differential equation models for mosquito-borne pathogens, focusing on malaria. Modular design is achieved by S3 dispatch on parameter lists for each component which is used to compute the full set of differential equations which may be solved using any of the packages for numerical simulation of differential equations in R. The methods implemented by this package are described in Wu et al. (2022) <doi:10.1101/2022.11.07.22282044>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://dd-harp.github.io/exDE/
BugReports: https://github.com/dd-harp/exDE/issues
Imports: deSolve, expm, MASS
Suggests: ggplot2, data.table, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-17 17:47:57 UTC; seanwu89
Author: Sean L. Wu [aut, cre] , David L. Smith [aut]
Maintainer: Sean L. Wu <slwood89@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-18 10:00:04 UTC

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New package EGRNi with initial version 0.1.6
Package: EGRNi
Title: Ensemble Gene Regulatory Network Inference
Version: 0.1.6
Author: Chiranjib Sarkar [aut, cre, ctb] , Dipayan Sarkar [aut] , Rajender Parsad [aut], Dwijesh Mishra [aut]
Maintainer: Chiranjib Sarkar <cschiranjib9@gmail.com>
Description: Gene regulatory network constructed using combined score obtained from individual network inference method. The combined score measures the significance of edges in the ensemble network. Fisher's weighted method has been implemented to combine the outcomes of different methods based on the probability values. The combined score follows chi-square distribution with 2n degrees of freedom. <doi:10.22271/09746315.2020.v16.i3.1358>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: fdrtool, gdata, MASS, readr, stats
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-17 16:41:22 UTC; 91701
Repository: CRAN
Date/Publication: 2022-11-18 10:00:09 UTC

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New package deeptrafo with initial version 0.1
Package: deeptrafo
Title: Fitting Deep Conditional Transformation Models
Version: 0.1
Description: Allows for the specification of deep conditional transformation models (DCTMs) and ordinal neural network transformation models, as described in Baumann et al (2021) <doi:10.1007/978-3-030-86523-8_1> and Kook et al (2022) <doi:10.1016/j.patcog.2021.108263>. Extensions such as autoregressive DCTMs (Ruegamer et al, 2022, <doi:10.48550/arXiv.2110.08248>) and transformation ensembles (Kook et al, 2022, <doi:10.48550/arXiv.2205.12729>) are implemented.
Depends: R (>= 4.0.0), Formula, tensorflow (>= 2.2.0), keras (>= 2.2.0), tfprobability (>= 0.15), deepregression
Suggests: testthat, knitr, ordinal, tram, cotram, covr
Imports: mlt, variables, stats, purrr, survival, R6, reticulate
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-17 14:22:53 UTC; stigler
Author: Lucas Kook [aut, cre], Philipp Baumann [aut], David Ruegamer [aut]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-18 09:30:02 UTC

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New package blindrecalc with initial version 1.0.0
Package: blindrecalc
Title: Blinded Sample Size Recalculation
Version: 1.0.0
Description: Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. See Baumann, Pilz, Kieser (2022) <doi:10.32614/RJ-2022-001> for a detailed description. The implemented methods include the approaches by Lu, K. (2019) <doi:10.1002/pst.1737>, Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>, Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>, Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.
License: MIT + file LICENSE
URL: https://github.com/imbi-heidelberg/blindrecalc
Encoding: UTF-8
Suggests: testthat, covr
Imports: methods, Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-11-17 09:33:22 UTC; Pilz
Author: Lukas Baumann [aut, cre] , Maximilian Pilz [aut] , Institute of Medical Biometry and Informatics - University of Heidelberg [cph]
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>
Repository: CRAN
Date/Publication: 2022-11-18 09:30:05 UTC

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Thu, 17 Nov 2022

New package sherlock with initial version 0.5.1
Package: sherlock
Title: Graphical Displays to Aid Structured Problem Solving and Diagnosis
Version: 0.5.1
Description: Powerful graphical displays and statistical tools for structured problem solving and diagnosis. The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique. The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file. References: David Hartshorne (2019, ISBN: 978-1-5272-5139-7). Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/gaboraszabo/sherlock, https://gaboraszabo.github.io/sherlock/
BugReports: https://github.com/gaboraszabo/sherlock/issues
Imports: magrittr, rlang (>= 0.4.11), forcats, ggplot2, dplyr, cowplot, scales, ggh4x, stringr, plotly, readr, openxlsx
Suggests: roxygen2
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-16 15:16:47 UTC; gabor
Author: Gabor Szabo [aut, cre]
Maintainer: Gabor Szabo <gabor.attila.szabo@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-17 14:10:02 UTC

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New package ggChernoff with initial version 0.3.0
Package: ggChernoff
Title: Chernoff Faces for 'ggplot2'
Version: 0.3.0
Description: Provides a Chernoff face geom for 'ggplot2'. Maps multivariate data to human-like faces. Inspired by Chernoff (1973) <doi:10.1080/01621459.1973.10482434>.
Depends: R (>= 3.2.5)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 2.2.0), grid, scales
URL: https://github.com/Selbosh/ggChernoff
BugReports: https://github.com/Selbosh/ggChernoff/issues
NeedsCompilation: no
Packaged: 2022-11-16 15:27:22 UTC; david
Author: David Selby [aut, cre]
Maintainer: David Selby <selby@cs.uni-kl.de>
Repository: CRAN
Date/Publication: 2022-11-17 13:10:01 UTC

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New package exactLTRE with initial version 0.1.0
Package: exactLTRE
Title: An Exact Method for Life Table Response Experiment (LTRE) Analysis
Version: 0.1.0
Description: Life Table Response Experiments (LTREs) are a method of comparative demographic analysis. The purpose is to quantify how the difference or variance in vital rates (stage-specific survival, growth, and fertility) among populations contributes to difference or variance in the population growth rate, "lambda." We provide functions for one-way fixed design and random design LTRE, using either the classical methods that have been in use for several decades, or an fANOVA-based exact method that directly calculates the impact on lambda of changes in matrix elements, for matrix elements and their interactions. The equations and descriptions for the classical methods of LTRE analysis can be found in "Matrix Population Models: Construction, Analysis, and Interpretation (2nd edition)" Caswell (2001, ISBN: 0878930965), and the fANOVA-based exact methods will be published in a forthcoming paper. We also provide some demographic functions, including generation time from Bienvenu and Legendre (2015) [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: matrixcalc, popdemo
NeedsCompilation: no
Packaged: 2022-11-16 14:14:39 UTC; cmh352
Author: Christina Hernandez [aut, cre]
Maintainer: Christina Hernandez <cmh352@cornell.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-11-17 14:00:02 UTC

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New package era with initial version 0.4.1
Package: era
Title: Year-Based Time Scales
Version: 0.4.1
Description: Provides a consistent representation of year-based time scales as a numeric vector with an associated 'era'. There are built-in era definitions for many year numbering systems used in contemporary and historic calendars (e.g. Common Era, Islamic 'Hijri' years); year-based time scales used in archaeology, astronomy, geology, and other palaeosciences (e.g. Before Present, SI-prefixed 'annus'); and support for arbitrary user-defined eras. Years can converted from any one era to another using a generalised transformation function. Methods are also provided for robust casting and coercion between years and other numeric types, type-stable arithmetic with years, and pretty-printing in tables.
Language: en-GB
License: MIT + file LICENSE
URL: https://era.joeroe.io, https://github.com/joeroe/era
BugReports: https://github.com/joeroe/era/issues
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: vctrs (>= 0.3.0), methods, rlang, pillar
Suggests: tibble, testthat, covr, knitr, rmarkdown, dplyr, spelling, purrr, tidyr, lubridate
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-16 15:42:21 UTC; joeroe
Author: Joe Roe [aut, cre]
Maintainer: Joe Roe <joe@joeroe.io>
Repository: CRAN
Date/Publication: 2022-11-17 13:10:04 UTC

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New package elections.dtree with initial version 1.0.3
Package: elections.dtree
Title: Ranked Voting Election Audits with Dirichlet-Trees
Description: Perform ballot-polling Bayesian audits for ranked voting elections using Dirichlet-tree prior distributions. Everest et al. (2022) <arXiv:2206.14605>, <arXiv:2209.03881>.
Version: 1.0.3
Depends: R (>= 4.0.0)
SystemRequirements: C++17
License: GPL-3
LinkingTo: Rcpp, RcppThread, testthat
Imports: Rcpp, methods, Rdpack, R6, parallel
Suggests: covr, testthat (>= 3.0.0), xml2
Encoding: UTF-8
URL: https://fleverest.github.io/elections.dtree/, https://github.com/fleverest/elections.dtree/
BugReports: https://github.com/fleverest/elections.dtree/issues/
NeedsCompilation: yes
Packaged: 2022-11-16 15:37:03 UTC; dev
Author: Floyd Everest [aut, cre, cph] , Damjan Vukcevic [aut]
Maintainer: Floyd Everest <me@floydeverest.com>
Repository: CRAN
Date/Publication: 2022-11-17 13:10:08 UTC

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New package FamEvent with initial version 3.0
Package: FamEvent
Title: Family Age-at-Onset Data Simulation and Penetrance Estimation
Version: 3.0
Date: 2022-11-16
Author: Yun-Hee Choi, Karen Kopciuk, Wenqing He, Laurent Briollais
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>
Description: Simulates age-at-onset traits associated with a segregating major gene in family data obtained from population-based, clinic-based, or multi-stage designs. Appropriate ascertainment correction is utilized to estimate age-dependent penetrance functions either parametrically from the fitted model or nonparametrically from the data. The Expectation and Maximization algorithm can infer missing genotypes and carrier probabilities estimated from family's genotype and phenotype information or from a fitted model. Plot functions include pedigrees of simulated families and predicted penetrance curves based on specified parameter values. For more information see Choi, Y.-H., Briollais, L., He, W. and Kopciuk, K. (2021) FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs, Journal of Statistical Software 97 (7), 1-30.
License: GPL (>= 2.0)
NeedsCompilation: no
LazyData: true
Depends: R (>= 3.3.0), survival
Imports: MASS, kinship2, truncnorm, eha, pracma, cmprsk
Repository: CRAN
Packaged: 2022-11-16 23:17:17 UTC; yun-heechoi
Date/Publication: 2022-11-17 13:00:02 UTC

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New package deBInfer with initial version 0.4.4
Package: deBInfer
Title: Bayesian Inference for Differential Equations
Version: 0.4.4
Date: 2022-11-14
BugReports: https://github.com/pboesu/debinfer/issues
URL: https://github.com/pboesu/debinfer
Description: A Bayesian framework for parameter inference in differential equations. This approach offers a rigorous methodology for parameter inference as well as modeling the link between unobservable model states and parameters, and observable quantities. Provides templates for the DE model, the observation model and data likelihood, and the model parameters and their prior distributions. A Markov chain Monte Carlo (MCMC) procedure processes these inputs to estimate the posterior distributions of the parameters and any derived quantities, including the model trajectories. Further functionality is provided to facilitate MCMC diagnostics and the visualisation of the posterior distributions of model parameters and trajectories.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.5.0), deSolve
Imports: truncdist, coda, RColorBrewer, MASS, stats, mvtnorm, graphics, grDevices, plyr, PBSddesolve, methods
Suggests: testthat, knitr, rmarkdown, devtools, R.rsp, beanplot
VignetteBuilder: knitr, R.rsp
NeedsCompilation: no
Packaged: 2022-11-16 17:09:32 UTC; philipp.boerschsupan
Author: Philipp H Boersch-Supan [aut, cre] , Leah R Johnson [aut] , Sadie J Ryan [aut]
Maintainer: Philipp H Boersch-Supan <pboesu@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-17 12:00:24 UTC

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Wed, 16 Nov 2022

New package frictionless with initial version 1.0.2
Package: frictionless
Title: Read and Write Frictionless Data Packages
Version: 1.0.2
Description: Read and write Frictionless Data Packages. A 'Data Package' (<https://specs.frictionlessdata.io/data-package/>) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (<https://www.go-fair.org/fair-principles/>) and open datasets.
License: MIT + file LICENSE
URL: https://github.com/frictionlessdata/frictionless-r, https://docs.ropensci.org/frictionless/
BugReports: https://github.com/frictionlessdata/frictionless-r/issues
Imports: assertthat, dplyr, glue, httr, jsonlite, purrr, readr (>= 2.1.0), utils, yaml
Suggests: hms, knitr, lubridate, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-16 21:03:35 UTC; peter_desmet
Author: Peter Desmet [aut, cre] , Damiano Oldoni [aut] , Research Institute for Nature and Forest [cph] , LifeWatch Belgium [fnd] , Beatriz Milz [rev] , Joao Martins [rev]
Maintainer: Peter Desmet <peter.desmet.work@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-11-16 22:20:06 UTC

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New package vol2birdR with initial version 0.2.0
Package: vol2birdR
Title: Vertical Profiles of Biological Signals in Weather Radar Data
Version: 0.2.0
Date: 2022-11-15
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
License: LGPL (>= 3)
URL: https://github.com/adokter/vol2birdR/, https://adriaandokter.com/vol2bird/
BugReports: https://github.com/adokter/vol2birdR/issues
Imports: assertthat, methods, pkgbuild, Rcpp (>= 1.0.4), rlang, utils, withr
LinkingTo: Rcpp, RcppGSL
VignetteBuilder: knitr
SystemRequirements: GNU make, GSL, HDF5, PROJ
NeedsCompilation: yes
RcppModules: RaveIO, PolarVolume, Vol2Bird, Vol2BirdConfig
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Copyright: file COPYRIGHTS
Encoding: UTF-8
Packaged: 2022-11-15 22:59:37 UTC; amd427
Author: Anders Henja [aut], Adriaan M. Dokter [aut, cre] , Jurriaan H. Spaaks [ctb], Lourens Veen [ctb], Iwan Holleman [ctb], Hidde Leijnse [ctb], John H. Merritt [ctb], Bart Kelley [ctb], Daniel Michelson [ctb], Mark Couture [ctb], GloBAM [fnd]
Maintainer: Adriaan M. Dokter <amd427@cornell.edu>
Repository: CRAN
Date/Publication: 2022-11-16 14:40:02 UTC

More information about vol2birdR at CRAN
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New package tibblify with initial version 0.3.0
Package: tibblify
Title: Rectangle Nested Lists
Version: 0.3.0
Description: A tool to rectangle a nested list, that is to convert it into a tibble. This is done automatically or according to a given specification. A common use case is for nested lists coming from parsing JSON files or the JSON response of REST APIs. It is supported by the 'vctrs' package and therefore offers a wide support of vector types.
License: GPL-3
URL: https://github.com/mgirlich/tibblify, https://mgirlich.github.io/tibblify/
BugReports: https://github.com/mgirlich/tibblify/issues
Depends: R (>= 3.4.0)
Imports: cli (>= 3.3.0), lifecycle (>= 1.0.1), purrr (>= 0.3.4), rlang (>= 1.0.4), tibble (>= 3.1.8), tidyselect (>= 1.2.0), vctrs (>= 0.5.0), withr (>= 2.5.0)
Suggests: covr (>= 3.6.1), jsonlite (>= 1.8.0), knitr (>= 1.40), rmarkdown (>= 2.16), spelling (>= 2.2), testthat (>= 3.1.4)
LinkingTo: vctrs (>= 0.5.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
SystemRequirements: C++11
Packaged: 2022-11-14 07:13:35 UTC; mgirlich
Author: Maximilian Girlich [aut, cre, cph], Kirill Mueller [ctb]
Maintainer: Maximilian Girlich <maximilian.girlich@outlook.com>
Repository: CRAN
Date/Publication: 2022-11-16 14:40:09 UTC

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New package quadraticSD with initial version 0.1.0
Package: quadraticSD
Title: Visualizing the SD using a Quadratic Curve
Version: 0.1.0
Maintainer: Siddhanta Phuyal <siddhantaphuyal7159@gmail.com>
Description: Given a dataset, the user is invited to utilize the Empirical Cumulative Distribution Function (ECDF) to guess interactively the mean and the mean deviation. Thereafter, using the quadratic curve the user can guess the Root Mean Squared Deviation (RMSD) and visualize the standard deviation (SD). For details, see Sarkar and Rashid (2019)<doi:10.3126/njs.v3i0.25574>, Have You Seen the Standard Deviaton?, Nepalese Journal of Statistics, Vol. 3, 1-10.
License: GPL-3
Encoding: UTF-8
Imports: shiny, ggplot2
NeedsCompilation: no
Packaged: 2022-11-16 00:17:42 UTC; siddh
Author: Siddhanta Phuyal [aut, cre], Mamunur Rashid [aut], Jyotirmoy Sarkar [aut]
Repository: CRAN
Date/Publication: 2022-11-16 14:40:13 UTC

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New package mrfse with initial version 0.4.1
Package: mrfse
Title: Markov Random Field Structure Estimator
Version: 0.4.1
Date: 2022-11-10
Description: Three algorithms for estimating a Markov random field structure.Two of them are an exact version and a simulated annealing version of a penalized maximum conditional likelihood method similar to the Bayesian Information Criterion. These algorithm are described in Frondana (2016) <doi:10.11606/T.45.2018.tde-02022018-151123>.The third one is a greedy algorithm, described in Bresler (2015) <doi:10.1145/2746539.2746631).
License: GPL (>= 3)
NeedsCompilation: yes
LinkingTo: Rcpp
Imports: Rcpp
Depends: gtools, Rfast
Packaged: 2022-11-10 21:46:57 UTC; root
Author: Rodrigo Carvalho [aut, cre], Florencia Leonardi [rev, ths]
Maintainer: Rodrigo Carvalho <rodrigorsdc@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-16 14:40:15 UTC

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New package MeshAgreement with initial version 0.1.2
Package: MeshAgreement
Title: Agreement Measures for 3D Meshes
Version: 0.1.2
Date: 2022-11-14
Depends: R (>= 3.5)
Imports: stats, Rvcg, cgalMeshes
Suggests: knitr, shiny, DT, bs4Dash, sortable, rgl, Boov
VignetteBuilder: knitr
LazyData: yes
Description: Calculates distance-based and volume-overlap-based agreement measures for triangular 3D meshes. These include the Hausdorff distance, the average surface distance, the Dice similarity coefficient, and the Jaccard similarity coefficient as documented in Stockinger et al. (2021) <doi:10.1186/s13014-021-01965-5>. Overall agreement for a set of meshes is calculated as the aggregate agreement for all pairwise comparisons. Based on algorithms provided by the 'VCGLIB' <http://vcg.isti.cnr.it/vcglib/> and 'CGAL' <https://www.cgal.org/> libraries. Includes web-based graphical user interface.
License: GPL (>= 2)
URL: https://github.com/dwoll/MeshAgreement/
NeedsCompilation: no
Packaged: 2022-11-14 19:18:55 UTC; Daniel
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>
Repository: CRAN
Date/Publication: 2022-11-16 14:40:28 UTC

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New package Kcop with initial version 1.0.0
Package: Kcop
Title: Smooth Test for Equality of Copulas and Clustering Multivariate
Version: 1.0.0
Description: Implements approaches of non-parametric smooth test to compare simultaneously K(K>1) copulas and non-parametric clustering of multivariate populations with arbitrary sizes. See Yves I. Ngounou Bakam and Denys Pommeret (2022) <arXiv:2112.05623> and Yves I. Ngounou Bakam and Denys Pommeret (2022) <arXiv:2211.06338>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: false
Depends: R (>= 2.10)
Imports: base, copula,dplyr, gtools, orthopolynom, stats
NeedsCompilation: no
Packaged: 2022-11-16 08:52:37 UTC; yves
Author: Yves Ismael Ngounou Bakam [aut, cre], Denys Pommeret [aut]
Maintainer: Yves Ismael Ngounou Bakam <yvesngounou20@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-16 15:00:20 UTC

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New package irtpwr with initial version 1.0.0
Package: irtpwr
Title: Power Analysis for IRT Models Using the Wald, LR, Score, and Gradient Statistics
Version: 1.0.0
Description: Implementation of analytical and sampling-based power analyses for the Wald, likelihood ratio (LR), score, and gradient tests. Can be applied to item response theory (IRT) models that are fitted using marginal maximum likelihood estimation. The methods are described in our paper (Zimmer et al. (2022) <doi:10.1007/s11336-022-09883-5>).
License: GPL (>= 3)
URL: https://github.com/flxzimmer/irtpwr
BugReports: https://github.com/flxzimmer/irtpwr/issues
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown
Imports: mirt, Deriv, digest, spatstat.random, ggplot2, methods
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-16 13:10:38 UTC; fzimmer
Author: Felix Zimmer [aut, cre] , Rudolf Debelak [aut]
Maintainer: Felix Zimmer <felix.zimmer@mail.de>
Repository: CRAN
Date/Publication: 2022-11-16 15:00:14 UTC

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New package dartR.data with initial version 1.0.2
Package: dartR.data
Title: Auxiliary Data Package for Our Main Package 'dartR'
Version: 1.0.2
Description: Data package for 'dartR'. Provides data sets to run examples in 'dartR'. This was necessary due to the size limit imposed by 'CRAN'. The data in 'dartR.data' is needed to run the examples provided in the 'dartR' functions. All available data sets are either based on actual data (but reduced in size) and/or simulated data sets to allow the fast execution of examples and demonstration of the functions.
Depends: R (>= 3.5), adegenet (>= 2.0.0)
License: GPL (>= 3)
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
URL: https://github.com/green-striped-gecko/dartR.data
BugReports: https://groups.google.com/g/dartr?pli=1
Packaged: 2022-11-16 02:42:11 UTC; s425824
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Oliver Berry [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>
Repository: CRAN
Date/Publication: 2022-11-16 14:50:02 UTC

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New package custom.gauss.quad with initial version 1.0.0
Package: custom.gauss.quad
Title: Custom Made Gauss Quadrature Nodes and Weights
Version: 1.0.0
Maintainer: Paul Kabaila <p.kabaila@latrobe.edu.au>
Description: Use the high-precision arithmetic provided by the R package 'Rmpfr' to compute a custom-made Gauss quadrature nodes and weights, with up to 33 nodes, using a moment-based method via moment determinants. Paul Kabaila (2022) <arXiv:2211.04729>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rmpfr
NeedsCompilation: no
Packaged: 2022-11-16 02:47:08 UTC; Kabaila
Author: Paul Kabaila [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-16 14:50:05 UTC

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New package cipheR with initial version 1.0.0
Package: cipheR
Title: Encryption and Decryption with Text Ciphers
Version: 1.0.0
Description: Encrypts and decrypts using basic ciphers. None of these should be used in place of real encryption using state of the art tools. The ciphers included use methods described in the ciphers's Wikipedia and cryptography hobby websites.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-16 02:37:08 UTC; guslipkin
Author: Gus Lipkin [aut, cre]
Maintainer: Gus Lipkin <gus.lipkin@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-16 14:50:08 UTC

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New package casebase with initial version 0.10.3
Package: casebase
Title: Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression
Version: 0.10.3
Date: 2022-11-09
Description: Fit flexible and fully parametric hazard regression models to survival data with single event type or multiple competing causes via logistic and multinomial regression. Our formulation allows for arbitrary functional forms of time and its interactions with other predictors for time-dependent hazards and hazard ratios. From the fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival curves for a given covariate profile. This approach accommodates any log-linear hazard function of prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide a plot method for visualizing incidence density via population time plots. Based on the case-base sampling approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>, and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>.
Depends: R (>= 3.5.0)
Imports: data.table, ggplot2, methods, mgcv, stats, survival, VGAM
License: MIT + file LICENSE
LazyData: TRUE
Suggests: colorspace, covr, eha, glmnet, knitr, progress, rmarkdown, splines, testthat (>= 3.0.0), visreg
VignetteBuilder: knitr
URL: https://sahirbhatnagar.com/casebase/
BugReports: https://github.com/sahirbhatnagar/casebase/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-13 17:55:05 UTC; sahirbhatnagar
Author: Sahir Bhatnagar [aut, cre] , Maxime Turgeon [aut] , Jesse Islam [aut] , Olli Saarela [aut] , James Hanley [aut]
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-16 14:30:08 UTC

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New package taboolaR with initial version 0.1.0
Package: taboolaR
Title: Get Data from 'Taboola' via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from 'Taboola' using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-14 16:05:34 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-16 11:50:02 UTC

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New package loedata with initial version 1.0.1
Package: loedata
Title: Data Sets from "Lectures on Econometrics" by Chirok Han
Version: 1.0.1
Description: Data sets for Chirok Han (2022, ISBN:979-11-303-1497-6, "Lectures on Econometrics"). Students, teachers, and self-learners will find the data sets essential for replicating the results in the book.
Depends: R (>= 3.0)
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-15 02:36:42 UTC; hanch
Author: Chirok Han [aut, cre, cph]
Maintainer: Chirok Han <chirokhan@korea.ac.kr>
Repository: CRAN
Date/Publication: 2022-11-16 12:00:05 UTC

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New package dsmmR with initial version 0.0.96
Package: dsmmR
Title: Estimation and Simulation of Drifting Semi-Markov Models
Version: 0.0.96
Date: 2022-11-15
Description: Performs parametric and non-parametric estimation and simulation of Drifting semi-Markov processes. The definition of parametric and non-parametric model specifications is also possible. Furthermore, three different types of Drifting semi-Markov models are considered. These models differ in the number of transition matrices and sojourn time distributions used for the computation of a number of semi-Markov kernels, which in turn characterize the Drifting semi-Markov kernel. For the parametric model estimation and specification, several discrete distributions are considered for the sojourn times: Uniform, Poisson, Geometric, Discrete Weibull and Negative Binomial. The non-parametric model specification makes no assumptions about the shape of the sojourn time distributions. Semi-Markov models are described in: Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>. Drifting Markov models are described in: Vergne, N. (2008) <doi:10.2202/1544-6115.1326>. Reliability ind [...truncated...]
License: GPL
Imports: DiscreteWeibull
Suggests: utils, knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Author: Vlad Stefan Barbu [aut] , Ioannis Mavrogiannis [aut, cre], Nicolas Vergne [aut]
Maintainer: Ioannis Mavrogiannis <mavrogiannis.ioa@gmail.com>
Depends: R (>= 2.10)
Packaged: 2022-11-15 06:17:25 UTC; ioann
Repository: CRAN
Date/Publication: 2022-11-16 12:00:08 UTC

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New package robusTest with initial version 1.0.0
Package: robusTest
Title: Calibrated Correlation, Two-Sample Tests
Version: 1.0.0
Description: Implementation of corrected two-sample tests. A corrected version of the Pearson and Kendall correlation tests, the Mann-Whitney (Wilcoxon) rank sum test, the Mann-Whitney (Wilcoxon) signed rank test and a variance test are implemented. The package also proposes a test for the median. All these corrected tests are asymptotically calibrated meaning that the probability of rejection under the null hypothesis is asymptotically equal to the level of the test. The package also proposes a test for independence between two continuous variables of Kolmogorov-Smirnov's type. This test is exact.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
LinkingTo: Rcpp
Imports: Rcpp, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2022-11-14 13:19:47 UTC; obouaziz
Author: Olivier Bouaziz [aut, cre]
Maintainer: Olivier Bouaziz <olivier.bouaziz@parisdescartes.fr>
Repository: CRAN
Date/Publication: 2022-11-16 06:30:02 UTC

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Tue, 15 Nov 2022

New package LakeMetabolizer with initial version 1.5.5
Package: LakeMetabolizer
Title: Tools for the Analysis of Ecosystem Metabolism
Maintainer: Jake Zwart <jayzlimno@gmail.com>
Version: 1.5.5
Description: A collection of tools for the calculation of freewater metabolism from in situ time series of dissolved oxygen, water temperature, and, optionally, additional environmental variables. LakeMetabolizer implements 5 different metabolism models with diverse statistical underpinnings: bookkeeping, ordinary least squares, maximum likelihood, Kalman filter, and Bayesian. Each of these 5 metabolism models can be combined with 1 of 7 models for computing the coefficient of gas exchange across the air–water interface (k). LakeMetabolizer also features a variety of supporting functions that compute conversions and implement calculations commonly applied to raw data prior to estimating metabolism (e.g., oxygen saturation and optical conversion models).
License: GPL (>= 2)
Imports: plyr, methods
Suggests: R2jags, testthat
Depends: R (>= 2.15.0), rLakeAnalyzer (>= 1.4)
Repository: CRAN
BugReports: https://github.com/GLEON/LakeMetabolizer/issues
URL: https://www.tandfonline.com/doi/abs/10.1080/IW-6.4.883
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-11-14 15:00:36 UTC; jzwart
Author: Luke Winslow [aut], Jake Zwart [cre, aut] , Ryan Batt [aut], Jessica Corman [aut], Hilary Dugan [aut], Paul Hanson [aut], Aline Jaimes [aut], Jordan Read [aut], Richard Woolway [aut]
Date/Publication: 2022-11-15 23:30:16 UTC

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New package container with initial version 1.0.3
Package: container
Title: Extending Base 'R' Lists
Version: 1.0.3
Date: 2022-11-14
Description: Extends the functionality of base 'R' lists and provides specialized data structures 'deque', 'set', 'dict', and 'dict.table', the latter to extend the 'data.table' package.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: data.table, methods, R6
VignetteBuilder: knitr
Suggests: knitr, tinytest, rmarkdown, microbenchmark, ggplot2, dplyr, tibble, testthat (>= 3.0.0)
URL: https://rpahl.github.io/container/
BugReports: https://github.com/rpahl/container/issues
NeedsCompilation: no
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>
Repository: CRAN
Packaged: 2022-11-14 15:32:56 UTC; Roman
Date/Publication: 2022-11-15 23:30:08 UTC

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New package caschrono with initial version 2.3
Package: caschrono
Title: S<e9>ries Temporelles Avec R
Description: Functions, data sets and exercises solutions for the book 'S<e9>ries Temporelles Avec R' (Yves Aragon, edp sciences, 2016). For all chapters, a vignette is available with some additional material and exercises solutions.
Encoding: latin1
Version: 2.3
Date: 2022-12-14
Author: Yves Aragon
Maintainer: Thibault Laurent <Thibault.Laurent@univ-tlse1.fr>
Depends: graphics, stats, utils, zoo
Imports: Hmisc, methods
Suggests: dse, expsmooth, fBasics, fGarch, forecast, polynom, timeSeries, xtable
License: GPL (>= 2)
URL: http://www.seriestemporelles.com
NeedsCompilation: no
Packaged: 2022-11-14 14:29:46 UTC; laurent
Repository: CRAN
Date/Publication: 2022-11-15 23:30:12 UTC

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New package digiRhythm with initial version 1.1
Package: digiRhythm
Title: Analyzing Animal's Rhythmicity
Version: 1.1
Author: Hassan Roland Nasser [aut, cre], Marie Schneider [aut, ctb], Joanna Stachowicz [aut, rev], Christina Umstaetter [aut, ths]
Maintainer: Hassan Roland Nasser <hassan.nasser@me.com>
Description: Analyze and visualize the rhythmic behavior of animals using the degree of functional coupling (See Scheibe (1999) <doi:10.1076/brhm.30.2.216.1420>), compute and visualize harmonic power, actograms, average activity and diurnality index.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: tidyr, readr (>= 2.0.1), magrittr, dplyr, xts, pracma, ggplot2, lubridate, stringr, zoo, crayon, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), usethis
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-10 22:12:10 UTC; HOME
Repository: CRAN
Date/Publication: 2022-11-15 22:20:02 UTC

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New package simplifyNet with initial version 0.0.1
Package: simplifyNet
Title: Network Sparsification
Version: 0.0.1
Language: en-US
Maintainer: Alexander Mercier <amercier@g.harvard.edu>
Description: Network sparsification with a variety of novel and known network sparsification techniques. All network sparsification techniques reduce the number of edges, not the number of nodes. Network sparsification is sometimes referred to as network dimensionality reduction. This package is based on the work of Spielman, D., Srivastava, N. (2009)<arXiv:0803.0929>. Koutis I., Levin, A., Peng, R. (2013)<arXiv:1209.5821>. Toivonen, H., Mahler, S., Zhou, F. (2010)<doi:10.1007>. Foti, N., Hughes, J., Rockmore, D. (2011)<doi:10.1371>.
Depends: R (>= 3.4),
Imports: igraph (>= 1.3.1), sanic (>= 0.0.1), Matrix (>= 1.2-18), methods (>= 4.0.2), stats (>= 4.0.2), dplyr (>= 1.0.9)
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-07 18:41:16 UTC; henry
Author: Andrew Kramer [aut], Alexander Mercier [aut, cre, trl], Shubhankar Tripathi [ctb], Tomlin Pulliam [ctb], John Drake [ctb]
Repository: CRAN
Date/Publication: 2022-11-15 16:30:02 UTC

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New package mmpca with initial version 2.0.3
Package: mmpca
Title: Integrative Analysis of Several Related Data Matrices
Version: 2.0.3
Description: A generalization of principal component analysis for integrative analysis. The method finds principal components that describe single matrices or that are common to several matrices. The solutions are sparse. Rank of solutions is automatically selected using cross validation. The method is described in Kallus et al. (2019) <arXiv:1911.04927>.
Depends: R (>= 3.3.0)
Imports: digest (>= 0.6.0), Rcpp (>= 1.0.8)
LinkingTo: Rcpp, RcppEigen, RcppGSL
SystemRequirements: C++14
Biarch: true
NeedsCompilation: yes
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/cyianor/mmpca
BugReports: https://github.com/cyianor/mmpca/issues
Packaged: 2022-11-12 14:00:48 UTC; hefelix
Author: Jonatan Kallus [aut], Felix Held [ctb, cre]
Maintainer: Felix Held <felix.held@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-15 08:50:02 UTC

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Mon, 14 Nov 2022

New package GauPro with initial version 0.2.5
Package: GauPro
Title: Gaussian Process Fitting
Version: 0.2.5
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>
Description: Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel (not for Windows), and 'Rcpp' has been used to speed up calculations. Other R packages that perform similar calculations include 'laGP', 'DiceKriging', 'GPfit', and 'mlegp'.
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, R6, lbfgs
Suggests: testthat, knitr, rmarkdown, microbenchmark, numDeriv, ContourFunctions, dplyr, ggplot2, ggrepel, lhs, tidyr, MASS
VignetteBuilder: knitr
URL: https://github.com/CollinErickson/GauPro
BugReports: https://github.com/CollinErickson/GauPro/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-11-11 01:55:26 UTC; colli
Repository: CRAN
Date/Publication: 2022-11-15 00:20:05 UTC

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New package fanc with initial version 2.3.9
Package: fanc
Title: Penalized Likelihood Factor Analysis via Nonconvex Penalty
Version: 2.3.9
Date: 2022-10-20
Depends: Matrix, ellipse, tcltk
Description: Computes the penalized maximum likelihood estimates of factor loadings and unique variances for various tuning parameters. The pathwise coordinate descent along with EM algorithm is used. This package also includes a new graphical tool which outputs path diagram, goodness-of-fit indices and model selection criteria for each regularization parameter. The user can change the regularization parameter by manipulating scrollbars, which is helpful to find a suitable value of regularization parameter.
License: GPL (>= 2)
URL: https://doi.org/10.1007/s11222-014-9458-0, https://doi.org/10.1016/j.csda.2014.05.011, https://doi.org/10.1007/s41237-016-0007-3, https://keihirose.com
Packaged: 2022-11-08 08:27:40 UTC; hirosekei
Repository: CRAN
Date/Publication: 2022-11-15 00:20:02 UTC
NeedsCompilation: yes
Author: Kei Hirose [aut, cre] , Michio Yamamoto [aut], Haruhisa Nagata [aut]
Maintainer: Kei Hirose <mail@keihirose.com>

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New package tip with initial version 0.1.0
Package: tip
Title: Bayesian Clustering Using the Table Invitation Prior (TIP)
Version: 0.1.0
Description: Cluster data without specifying the number of clusters using the Table Invitation Prior (TIP) introduced in the paper "Clustering Gene Expression Using the Table Invitation Prior" by Charles W. Harrison, Qing He, and Hsin-Hsiung Huang (2022) <doi:10.3390/genes13112036>. TIP is a Bayesian prior that uses pairwise distance and similarity information to cluster vectors, matrices, or tensors.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rlang, igraph, network, ggplot2, GGally, LaplacesDemon, changepoint, parallel, doParallel, foreach, methods, mniw
Suggests: knitr, sna, mcclust, SMFilter, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2022-11-12 01:56:07 UTC; CharlesHarrison
Author: Charles W. Harrison [cre, aut, cph], Qing He [aut, cph], Hsin-Hsiung Huang [aut, cph]
Maintainer: Charles W. Harrison <charleswharrison@knights.ucf.edu>
Repository: CRAN
Date/Publication: 2022-11-14 17:30:02 UTC

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New package RMT4DS with initial version 0.0.1
Package: RMT4DS
Title: Computation of Random Matrix Models
Version: 0.0.1
Description: We generate random variables following general Marchenko-Pastur distribution and Tracy-Widom distribution. We compute limits and distributions of eigenvalues and generalized components of spiked covariance matrices. We give estimation of all population eigenvalues of spiked covariance matrix model. We give tests of population covariance matrix. We also perform matrix denoising for signal-plus-noise model.
License: MIT + file LICENSE
Encoding: UTF-8
Repository: CRAN
Imports: MASS, RMTstat, lpSolve, mpoly, nleqslv, pracma, rARPACK, rootSolve, quadprog
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-11 19:51:47 UTC; Ethan
Author: Xiucai Ding [aut, cre, cph], Yichen Hu [aut, cph]
Maintainer: Xiucai Ding <xiucaiding89@gmail.com>
Date/Publication: 2022-11-14 17:30:05 UTC

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New package RFPM with initial version 1.0
Package: RFPM
Title: Floating Percentile Model
Version: 1.0
Date: 2022-11-11
Description: Floating Percentile Model with additional functions for optimizing inputs and evaluating outputs and assumptions.
Imports: stats, graphics, grDevices, dplyr, reshape2, lawstat
Suggests: knitr
VignetteBuilder: knitr
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Maintainer: Brian Church <brianc@windwardenv.com>
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2022-11-11 23:26:11 UTC; brianc
Author: Brian Church [aut, cre] , Claire Detering [aut]
Repository: CRAN
Date/Publication: 2022-11-14 17:30:08 UTC

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New package fetchSalesforceR with initial version 0.1.0
Package: fetchSalesforceR
Title: Get Data from Salesforce via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Salesforce using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-12 16:55:12 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-14 17:40:01 UTC

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New package diffval with initial version 1.0.0
Package: diffval
Title: Vegetation Patterns
Version: 1.0.0
Description: Find, visualize and explore patterns of differential taxa in vegetation data (namely in a phytosociological table), using the Differential Value (DiffVal). Patterns are searched through mathematical optimization algorithms. Ultimately, Total Differential Value (TDV) optimization aims at obtaining classifications of vegetation data based on differential taxa, as in the traditional geobotanical approach. The Gurobi optimizer, as well as the R package 'gurobi', can be installed from <https://www.gurobi.com/products/gurobi-optimizer/>. The useful vignette Gurobi Installation Guide, from package 'prioritizr', can be found here: <https://prioritizr.net/articles/gurobi_installation_guide.html>.
License: GPL (>= 3)
URL: https://gitlab.com/point-veg/diffval
BugReports: https://gitlab.com/point-veg/diffval/-/issues
Depends: R (>= 2.10)
Imports: graphics, stats
Suggests: gurobi, utils
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-11 18:13:22 UTC; tmh
Author: Tiago Monteiro-Henriques [aut, cre] , Jorge Orestes Cerdeira [aut] , Fundacao para a Ciencia e a Tecnologia, Portugal [fnd]
Maintainer: Tiago Monteiro-Henriques <tmh.dev@icloud.com>
Repository: CRAN
Date/Publication: 2022-11-14 17:20:02 UTC

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New package rMOST with initial version 0.0.1
Package: rMOST
Title: Estimates Pareto-Optimal Solution for Hiring with 3 Objectives
Version: 0.0.1
Description: Estimates Pareto-optimal solution for personnel selection with 3 objectives using Normal Boundary Intersection (NBI) algorithm introduced by Das and Dennis (1998) <doi:10.1137/S1052623496307510>. Takes predictor intercorrelations and predictor-objective relations as input and generates a series of solutions containing predictor weights as output. Accepts between 3 and 10 selection predictors. Maximum 2 objectives could be adverse impact objectives. Partially modeled after De Corte (2006) TROFSS Fortran program <https://users.ugent.be/~wdecorte/trofss.pdf> and updated from 'ParetoR' package described in Song et al. (2017) <doi:10.1037/apl0000240>. For details, see Song et al. (in press).
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: graphics, grDevices, nloptr, stats
NeedsCompilation: no
Packaged: 2022-11-10 20:16:49 UTC; kimye
Author: Chelsea Song [aut, cre]
Maintainer: Chelsea Song <qianqisong@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-14 11:20:02 UTC

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New package npi with initial version 0.2.0
Package: npi
Title: Access the U.S. National Provider Identifier Registry API
Version: 0.2.0
Description: Access the United States National Provider Identifier Registry API <https://npiregistry.cms.hhs.gov/api/>. Obtain and transform administrative data linked to a specific individual or organizational healthcare provider, or perform advanced searches based on provider name, location, type of service, credentials, and other attributes exposed by the API.
License: MIT + file LICENSE
URL: https://github.com/ropensci/npi/, https://docs.ropensci.org/npi/, https://npiregistry.cms.hhs.gov/api/
BugReports: https://github.com/ropensci/npi/issues/
Depends: R (>= 3.1)
Imports: checkLuhn, checkmate, curl, dplyr, glue, httr, magrittr, purrr, rlang, stringr, tibble, tidyr, utils
Suggests: covr, httptest, knitr, mockery, rmarkdown, spelling, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-11 16:09:38 UTC; frank
Author: Frank Farach [cre, aut, cph] , Sam Parmar [ctb], Matthias Grenie [rev] , Emily C. Zabor [rev]
Maintainer: Frank Farach <frank.farach@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-14 11:30:02 UTC

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New package gtfs2emis with initial version 0.1.0
Package: gtfs2emis
Title: Estimating Public Transport Emissions from General Transit Feed Specification (GTFS) Data
Version: 0.1.0
Description: A bottom up model to estimate the emission levels of public transport systems based on General Transit Feed Specification (GTFS) data. The package requires two main inputs: i) Public transport data in the GTFS standard format; and ii) Some basic information on fleet characteristics such as fleet age, technology, fuel and Euro stage. As it stands, the package estimates several pollutants at high spatial and temporal resolutions. Pollution levels can be calculated for specific transport routes, trips, time of the day or for the transport system as a whole. The output with emission estimates can be extracted in different formats, supporting analysis on how emission levels vary across space, time and by fleet characteristics. A full description of the methods used in the 'gtfs2emis' model is presented in Vieira, J. P. B.; Pereira, R. H. M.; Andrade, P. R. (2022) <doi:10.31219/osf.io/8m2cy>.
URL: https://ipeagit.github.io/gtfs2emis/ , https://github.com/ipeaGIT/gtfs2emis
BugReports: https://github.com/ipeaGIT/gtfs2emis/issues
License: MIT + file LICENSE
Depends: R (>= 3.6)
Imports: checkmate, data.table, furrr, future, gtfs2gps, methods, sf (>= 0.9-0), sfheaders, terra, units
Suggests: gtfstools, ggplot2, knitr, lwgeom, progressr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-11 17:54:43 UTC; joaobazzo
Author: Joao Bazzo [aut, cre] , Rafael H. M. Pereira [aut] , Pedro R. Andrade [aut] , Sergio Ibarra-Espinosa [ctb] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Joao Bazzo <joao.bazzo@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-14 11:30:05 UTC

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New package dbGaPCheckup with initial version 1.0.0
Package: dbGaPCheckup
Title: dbGaP Checkup
Version: 1.0.0
URL: https://lwheinsberg.github.io/dbGaPCheckup/, https://github.com/lwheinsberg/dbGaPCheckup
Description: Contains functions that check for formatting of the Subject Phenotype data set and data dictionary as specified by the National Center for Biotechnology Information (NCBI) Database of Genotypes and Phenotypes (dbGaP) <https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/>.
Imports: readxl, tidyr, dplyr, formatR, ggplot2, pander, magrittr, rmarkdown, purrr, questionr, tibble, rlang, labelled, stats, utils, graphics
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr
BugReports: https://github.com/lwheinsberg/dbGaPCheckup/issues
Depends: R (>= 3.5.0)
VignetteBuilder: knitr, rmarkdown, formatR
NeedsCompilation: no
Packaged: 2022-11-11 12:03:33 UTC; law145
Author: Lacey W. Heinsberg [aut, cre], Daniel E. Weeks [aut], University of Pittsburgh [cph]
Maintainer: Lacey W. Heinsberg <law145@pitt.edu>
Repository: CRAN
Date/Publication: 2022-11-14 11:20:05 UTC

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New package rjtools with initial version 1.0.9
Package: rjtools
Title: Preparing, Checking, and Submitting Articles to the 'R Journal'
Version: 1.0.9
Description: Create an 'R Journal' 'Rmarkdown' template article, that will generate html and pdf versions of your paper. Check that the paper folder has all the required components needed for submission. Examples of 'R Journal' publications can be found at <https://journal.r-project.org>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: distill, stringr, cranlogs, purrr, hunspell, fs, cli, glue, whisker, xfun, callr, rlang, yaml, yesno, utils, tinytex, bookdown
Suggests: rmarkdown, knitr, pdftools, rstudioapi, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/rjournal/rjtools
BugReports: https://github.com/rjournal/rjtools/issues
NeedsCompilation: no
Packaged: 2022-11-09 20:43:18 UTC; cookd
Author: Mitchell O'Hara-Wild [aut], Stephanie Kobakian [aut], H. Sherry Zhang [aut], Di Cook [aut, cre] , Christophe Dervieux [aut]
Maintainer: Di Cook <dicook@monash.edu>
Repository: CRAN
Date/Publication: 2022-11-14 11:00:02 UTC

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New package rbmi with initial version 1.2.3
Package: rbmi
Title: Reference Based Multiple Imputation
Version: 1.2.3
Description: Implements reference based multiple imputation allowing for the imputation of longitudinal datasets using predefined strategies.
Encoding: UTF-8
LazyData: true
URL: https://insightsengineering.github.io/rbmi/, https://github.com/insightsengineering/rbmi
BugReports: https://github.com/insightsengineering/rbmi/issues
Suggests: dplyr, tidyr, nlme, testthat, emmeans, tibble, mvtnorm, knitr, rmarkdown, bookdown, lubridate, purrr, ggplot2, R.rsp
Biarch: true
Imports: mmrm, pkgload, Matrix, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1), R6, assertthat
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
Depends: R (>= 3.4.0)
License: Apache License (>= 2)
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2022-11-11 18:15:47 UTC; gowerc
Author: Craig Gower-Page [aut, cre], Alessandro Noci [aut], Marcel Wolbers [ctb], Roche [cph, fnd]
Maintainer: Craig Gower-Page <craig.gower-page@roche.com>
Repository: CRAN
Date/Publication: 2022-11-14 09:20:02 UTC

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New package harmony with initial version 0.1.1
Package: harmony
Title: Fast, Sensitive, and Accurate Integration of Single Cell Data
Version: 0.1.1
Description: Implementation of the Harmony algorithm for single cell integration, described in Korsunsky et al <doi:10.1038/s41592-019-0619-0>. Package includes a standalone Harmony function and interfaces to external frameworks.
URL: software.broadinstitute.org/harmony
License: GPL-3
Encoding: UTF-8
Depends: R(>= 3.4.0), Rcpp
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Imports: dplyr, cowplot, tidyr, ggplot2, irlba, Matrix, methods, tibble, rlang
Suggests: SingleCellExperiment, Seurat (>= 4.1.1), testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-12 13:18:25 UTC; ik97
Author: Ilya Korsunsky [cre, aut] , Nghia Millard [aut] , Jean Fan [aut, ctb] , Kamil Slowikowski [aut, ctb] , Miles Smith [ctb], Soumya Raychaudhuri [aut]
Maintainer: Ilya Korsunsky <ilya.korsunsky@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-14 09:20:08 UTC

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New package CDatanet with initial version 2.0.2
Package: CDatanet
Title: Modeling Count Data with Peer Effects
Version: 2.0.2
Date: 2022-10-31
Description: Likelihood-based estimation and data generation from a class of models used to estimate peer effects on count data by controlling for the network endogeneity. This class includes count data models with social interactions (Houndetoungan 2022; <doi:10.2139/ssrn.3721250>), spatial tobit models (Xu and Lee 2015; <doi:10.1016/j.jeconom.2015.05.004>), and spatial linear-in-means models (Lee 2004; <doi:10.1111/j.1468-0262.2004.00558.x>).
License: GPL-3
Language: en-US
Encoding: UTF-8
BugReports: https://github.com/ahoundetoungan/CDatanet/issues
URL: https://github.com/ahoundetoungan/CDatanet
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), Formula, formula.tools, ddpcr, Matrix
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppDist, RcppNumerical, RcppEigen
Suggests: ggplot2, MASS, knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2022-11-11 23:47:33 UTC; haache
Author: Elysee Aristide Houndetoungan [cre, aut]
Maintainer: Elysee Aristide Houndetoungan <ariel92and@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-14 09:20:11 UTC

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New package BayesOrdDesign with initial version 0.1.2
Package: BayesOrdDesign
Title: Bayesian Group Sequential Design for Ordinal Data
Version: 0.1.2
Maintainer: Chengxue Zhong <czhong9106@gmail.com>
Description: The proposed group-sequential trial design is based on Bayesian methods for ordinal endpoints, including three methods, the proportional-odds-model (PO)-based, non-proportional-odds-model (NPO)-based, and PO/NPO switch-model-based designs, which makes our proposed methods generic to be able to deal with various scenarios. Richard J. Barker, William A. Link (2013) <doi:10.1080/00031305.2013.791644>. Thomas A. Murray, Ying Yuan, Peter F. Thall, Joan H. Elizondo, Wayne L.Hofstetter (2018) <doi:10.1111/biom.12842>. Chengxue Zhong, Haitao Pan, Hongyu Miao (2021) <arXiv:2108.06568>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: ordinal, schoolmath, coda, gsDesign, superdiag, ggplot2, madness, rjmcmc, R2jags, rjags, methods,
Depends: R (>= 3.3.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-12 00:46:55 UTC; alexz
Author: Chengxue Zhong [aut, cre], Haitao Pan [aut], Hongyu Miao [aut]
Repository: CRAN
Date/Publication: 2022-11-14 09:20:14 UTC

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New package superml with initial version 0.5.6
Package: superml
Title: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R
Version: 0.5.6
Maintainer: Manish Saraswat <manish06saraswat@gmail.com>
Description: The idea is to provide a standard interface to users who use both R and Python for building machine learning models. This package provides a scikit-learn's fit, predict interface to train machine learning models in R.
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/saraswatmks/superml
BugReports: https://github.com/saraswatmks/superml/issues
Depends: R(>= 3.5), R6(>= 2.2)
Imports: data.table (>= 1.10), Rcpp (>= 1.0), assertthat (>= 0.2), Metrics (>= 0.1)
LinkingTo: Rcpp, BH, RcppArmadillo
Suggests: knitr, rlang, testthat, rmarkdown, naivebayes(>= 0.9), ClusterR(>= 1.1), FNN(>= 1.1), ranger(>= 0.10), caret(>= 6.0), xgboost(>= 0.6), glmnet(>= 2.0), e1071(>= 1.7)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-12 10:29:39 UTC; manish.saraswat
Author: Manish Saraswat [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-14 08:30:07 UTC

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New package AnnoProbe with initial version 0.1.7
Package: AnnoProbe
Title: Annotate the Gene Symbols for Probes in Expression Array
Version: 0.1.7
Date: 2022-11-12
Maintainer: Yonghe Xia <xiayh17@gmail.com>
Description: We curated 147 of expression array, from 3 species(human,mouse,rat), 3 companies('Affymetrix','Illumina','Agilent'), by aligning the 'Fasta' sequences of all probes of each platform to their corresponding reference genome, and then annotate them to genes.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/jmzeng1314/AnnoProbe
LazyData: true
Depends: R (>= 3.4.0)
Imports: ggplot2, DT, ggpubr, pheatmap, utils, methods, Biobase, stats, xml2, httr, curl
Suggests: limma, GEOquery, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-11-12 11:39:35 UTC; xiayh
Author: Jianming Zeng [aut], Yujia Xiang [aut], Yonghe Xia [ctb, cre]
Repository: CRAN
Date/Publication: 2022-11-14 08:30:11 UTC

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Fri, 11 Nov 2022

New package rtoot with initial version 0.1.0
Package: rtoot
Title: Collecting and Analyzing Mastodon Data
Version: 0.1.0
Description: An implementation of calls designed to collect and organize Mastodon data via its Application Program Interfaces (API), which can be found at the following URL: <https://docs.joinmastodon.org/>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: dplyr, httr, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), rstudioapi, vcr (>= 0.6.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-11 07:47:51 UTC; david
Author: David Schoch [aut, cre] , Chung-hong Chan [aut] , Johannes Gruber [ctb]
Maintainer: David Schoch <david@schochastics.net>
Repository: CRAN
Date/Publication: 2022-11-11 15:20:02 UTC

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New package MLEce with initial version 1.0.0
Package: MLEce
Title: Statistical Inference for Asymptotic Efficient Closed-Form Estimators
Version: 1.0.0
Description: Estimate asymptotic efficient closed-form estimators and provide goodness of fit, estimates, plot and etc. Yue, S. (2001) <doi:10.1002/hyp.259>. Mosimann, James E. (1962) <doi:10.1093/biomet/49.1-2.65>.
Depends: R (>= 4.2.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: nleqslv, LaplacesDemon, sirt, ggplot2, reshape ,mvtnorm
NeedsCompilation: no
Packaged: 2022-11-11 06:40:36 UTC; k21
Author: Yu-Kwang Kim [aut, cre, com], Yun-beom Lee [ctb], Yu-Hyeong Jang [aut], Jun Zhao [aut], Hyoung-Moon Kim [aut, ths]
Maintainer: Yu-Kwang Kim <lumiere_profuse@naver.com>
Repository: CRAN
Date/Publication: 2022-11-11 15:20:06 UTC

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New package mixopt with initial version 0.1.0
Package: mixopt
Title: Mixed Variable Optimization
Version: 0.1.0
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>
Description: Mixed variable optimization for non-linear functions. Can optimize function whose inputs are a combination of continuous, ordered, and unordered variables.
Suggests: ContourFunctions, dplyr, ggplot2, gridExtra, lhs, testthat (>= 3.0.0)
License: LGPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-11 03:15:19 UTC; colli
Repository: CRAN
Date/Publication: 2022-11-11 15:10:02 UTC

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New package GRSxE with initial version 1.0.0
Package: GRSxE
Title: Testing Gene-Environment Interactions Through Genetic Risk Scores
Version: 1.0.0
Description: Statistical testing procedures for detecting GxE (gene-environment) interactions. The main focus lies on GRSxE interaction tests that aim at detecting GxE interactions through GRS (genetic risk scores). Moreover, a novel testing procedure based on bagging and OOB predictions is implemented for incorporating all available observations at both GRS construction and GxE testing.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, ranger, stats, utils
NeedsCompilation: no
Packaged: 2022-11-11 12:27:08 UTC; Lau
Author: Michael Lau [aut, cre]
Maintainer: Michael Lau <michael.lau@hhu.de>
Repository: CRAN
Date/Publication: 2022-11-11 15:40:02 UTC

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New package daiquiri with initial version 1.0.1
Package: daiquiri
Title: Data Quality Reporting for Temporal Datasets
Version: 1.0.1
Description: Generate reports that enable quick visual review of temporal shifts in record-level data. Time series plots showing aggregated values are automatically created for each data field (column) depending on its contents (e.g. min/max/mean values for numeric data, no. of distinct values for categorical data), as well as overviews for missing values, non-conformant values, and duplicated rows. The resulting reports are shareable and can contribute to forming a transparent record of the entire analysis process. It is designed with Electronic Health Records in mind, but can be used for any type of record-level temporal data (i.e. tabular data where each row represents a single "event", one column contains the "event date", and other columns contain any associated values for the event).
URL: https://github.com/ropensci/daiquiri, https://ropensci.github.io/daiquiri/
BugReports: https://github.com/ropensci/daiquiri/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table (>= 1.12.8), readr (>= 1.3.1), ggplot2 (>= 3.1.0), scales (>= 1.1.0), cowplot (>= 0.9.3), rmarkdown, reactable (>= 0.2.3), utils, stats
Suggests: covr, knitr, testthat (>= 3.0.0), codemetar
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-11 10:56:41 UTC; pquan
Author: T. Phuong Quan [aut, cre] , Jack Cregan [ctb], University of Oxford [cph], National Institute for Health Research [fnd], Brad Cannell [rev]
Maintainer: T. Phuong Quan <phuong.quan@ndm.ox.ac.uk>
Repository: CRAN
Date/Publication: 2022-11-11 15:30:02 UTC

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New package mailchimpR with initial version 0.1.0
Package: mailchimpR
Title: Get Mailchimp Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Mailchimp using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-10 17:44:02 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-11 10:40:02 UTC

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New package commafree with initial version 0.1.0
Package: commafree
Title: Call Functions Without Commas Between Arguments
Version: 0.1.0
Description: Provides the "comma-free call" operator: '%(%'. Use it to call a function without commas between the arguments. Just replace the '(' with '%(%' in a function call, supply your arguments as standard R expressions enclosed by '{ }', and be free of commas (for that call).
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/t-kalinowski/commafree
BugReports: https://github.com/t-kalinowski/commafree/issues
NeedsCompilation: no
Packaged: 2022-11-10 14:10:19 UTC; tomasz
Author: Tomasz Kalinowski [aut, cre]
Maintainer: Tomasz Kalinowski <kalinowskit@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-11 10:40:05 UTC

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Thu, 10 Nov 2022

New package vermeulen with initial version 0.1.1
Package: vermeulen
Title: 'Biomarker' Data Set by Vermeulen et al. (2009)
Version: 0.1.1
Description: The 'biomarker' data set by Vermeulen et al. (2009) <doi:10.1016/S1470-2045(09)70154-8> is provided. The data source, however, is by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>. The original data set may be downloaded from <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>. This data set is for a real-time quantitative polymerase chain reaction ('PCR') experiment that comprises the raw fluorescence data of 24,576 amplification curves. This data set comprises 59 genes of interest and 5 reference genes. Each gene was assessed on 366 neuroblastoma complementary DNA ('cDNA') samples and on 18 standard dilution series samples (10-fold 5-point dilution series x 3 replicates + no template controls ('NTC') x 3 replicates).
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: memoise
Suggests: dplyr, ggplot2, rmarkdown, spelling, testthat (>= 3.0.0), tibble
Language: en-US
URL: https://github.com/ramiromagno/vermeulen, https://rmagno.eu/vermeulen/
BugReports: https://github.com/ramiromagno/vermeulen/issues
NeedsCompilation: no
Packaged: 2022-11-10 00:12:07 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-10 19:10:02 UTC

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New package bstrl with initial version 1.0.2
Package: bstrl
Title: Bayesian Streaming Record Linkage
Version: 1.0.2
Description: Perform record linkage on streaming files using recursive Bayesian updating.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: BRL, doParallel, extraDistr, foreach, parallel
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-09 22:20:46 UTC; ianmt
Author: Brenda Betancourt [aut], Andee Kaplan [aut], Ian Taylor [aut, cre]
Maintainer: Ian Taylor <ian.taylor@colostate.edu>
Repository: CRAN
Date/Publication: 2022-11-10 19:10:08 UTC

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New package arctools with initial version 1.1.6
Package: arctools
Title: Processing and Physical Activity Summaries of Minute Level Activity Data
Version: 1.1.6
Description: Provides functions to process minute level actigraphy-measured activity counts data and extract commonly used physical activity volume and fragmentation metrics.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat, data.table, dplyr, knitr, rmarkdown, ggplot2
Imports: lubridate, runstats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-09 17:42:15 UTC; martakaras
Author: Marta Karas [aut, cre] , Jennifer Schrack [aut] , Jacek Urbanek [aut]
Maintainer: Marta Karas <marta.karass@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-10 19:10:11 UTC

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New package juicyjuice with initial version 0.1.0
Package: juicyjuice
Title: Inline CSS Properties into HTML Tags Using 'juice'
Version: 0.1.0
Description: There are occasions where you need a piece of HTML with integrated styles. A prime example of this is HTML email. This transformation involves moving the CSS and associated formatting instructions from the style block in the head of your document into the body of the HTML. Many prominent email clients require integrated styles in HTML email; otherwise a received HTML email will be displayed without any styling. This package will quickly and precisely perform these CSS transformations when given HTML text and it does so by using the JavaScript 'juice' library.
License: MIT + file LICENSE
URL: https://github.com/rich-iannone/juicyjuice
BugReports: https://github.com/rich-iannone/juicyjuice/issues
Encoding: UTF-8
Imports: V8 (>= 4.2.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-09 19:42:30 UTC; rich
Author: Richard Iannone [aut, cre, cph] , Automattic [cph] , juice contributors [ctb]
Maintainer: Richard Iannone <riannone@me.com>
Repository: CRAN
Date/Publication: 2022-11-10 19:00:02 UTC

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New package fMRItools with initial version 0.1.3
Package: fMRItools
Title: Routines for Common fMRI Processing Tasks
Version: 0.1.3
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Supports fMRI (functional magnetic resonance imaging) analysis tasks including reading in 'CIFTI', 'GIFTI' and 'NIFTI' data, temporal filtering, nuisance regression, and aCompCor (anatomical Components Correction) (Muschelli et al. (2014) <doi:10.1016/j.neuroimage.2014.03.028>).
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: stats, pesel, robustbase
Suggests: ciftiTools, gifti, knitr, rmarkdown, RNifti, oro.nifti, gsignal, fastICA, testthat (>= 3.0.0), covr
URL: https://github.com/mandymejia/fMRItools
BugReports: https://github.com/mandymejia/fMRItools/issues
NeedsCompilation: no
Packaged: 2022-11-09 02:38:12 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [aut]
Repository: CRAN
Date/Publication: 2022-11-10 18:50:02 UTC

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New package BSSoverSpace with initial version 0.1.0
Package: BSSoverSpace
Title: Blind Source Separation for Multivariate Spatial Data using Eigen Analysis
Version: 0.1.0
Maintainer: Sixing Hao <s.hao3@lse.ac.uk>
Description: Provides functions for blind source separation over multivariate spatial data, and useful statistics for evaluating performance of estimation on mixing matrix. 'BSSoverSpace' is based on an eigen analysis of a positive definite matrix defined in terms of multiple normalized spatial local covariance matrices, and thus can handle moderately high-dimensional random fields. This package is an implementation of the method described in Zhang, Hao and Yao (2022)<arXiv:2201.02023>.
License: GPL-3
Encoding: UTF-8
Imports: SpatialBSS, expm, rSPDE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-09 15:54:39 UTC; haosi
Author: Sixing Hao [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-10 18:50:05 UTC

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New package appleadsR with initial version 0.1.0
Package: appleadsR
Title: Get Apple Search Ads Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Apple Search Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-09 17:44:49 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-11-10 19:00:05 UTC

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New package nse with initial version 1.21
Package: nse
Version: 1.21
Date: 2022-11-08
Title: Numerical Standard Errors Computation in R
Author: David Ardia [aut] , Keven Bluteau [aut, cre]
Maintainer: Keven Bluteau <keven.bluteau@usherbrooke.ca>
Description: Collection of functions designed to calculate numerical standard error (NSE) of univariate time series as described in Ardia et al. (2018) <doi:10.1515/jtse-2017-0011> and Ardia and Bluteau (2017) <doi:10.21105/joss.00172>.
License: GPL (>= 2)
BugReports: https://github.com/keblu/nse/issues
URL: https://github.com/keblu/nse
Imports: Rcpp (>= 0.12.0), coda, mcmc, mcmcse, np, sandwich
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Suggests: testthat
Packaged: 2022-11-09 17:52:09 UTC; bluk2201
Repository: CRAN
Date/Publication: 2022-11-10 13:20:02 UTC

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New package RRreg with initial version 0.7.4
Package: RRreg
Title: Correlation and Regression Analyses for Randomized Response Data
Version: 0.7.4
Date: 2022-11-09
Author: Daniel W. Heck [aut, cre] , Morten Moshagen [aut]
Maintainer: Daniel W. Heck <daniel.heck@uni-marburg.de>
Depends: R (>= 3.5.0)
Imports: parallel, doParallel, foreach, stats, grDevices, graphics, lme4
Suggests: rmarkdown, knitr, R.rsp
Description: Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69, <doi:10.2307/2283137>). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyLoad: yes
URL: https://github.com/danheck/RRreg
VignetteBuilder: knitr, R.rsp
NeedsCompilation: no
Packaged: 2022-11-09 13:58:14 UTC; daniel
Repository: CRAN
Date/Publication: 2022-11-10 10:00:05 UTC

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Wed, 09 Nov 2022

New package miesmuschel with initial version 0.0.1
Package: miesmuschel
Title: Mixed Integer Evolution Strategies
Description: Evolutionary black box optimization algorithms building on the 'bbotk' package. 'miesmuschel' offers both ready-to-use optimization algorithms, as well as their fundamental building blocks that can be used to manually construct specialized optimization loops. The Mixed Integer Evolution Strategies as described by Li et al. (2013) <doi:10.1162/EVCO_a_00059> can be implemented, as well as the multi-objective optimization algorithms NSGA-II by Deb, Pratap, Agarwal, and Meyarivan (2002) <doi:10.1109/4235.996017>.
URL: https://github.com/mlr-org/miesmuschel
BugReports: https://github.com/mlr-org/miesmuschel/issues
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: yes
Version: 0.0.1
Depends: paradox (>= 0.7.1)
Imports: mlr3misc (>= 0.5.0), checkmate (>= 1.9.0), R6, bbotk (>= 0.3.0.900), data.table, matrixStats, lgr
Suggests: tinytest, mlr3tuning, mlr3, mlr3learners, ranger, xgboost, rpart
NeedsCompilation: no
Packaged: 2022-11-09 13:52:30 UTC; user
Author: Martin Binder [aut, cre], Lennart Schneider [ctb] , Susanne Dandl [ctb] , Andreas Hofheinz [ctb]
Maintainer: Martin Binder <mlr.developer@mb706.com>
Repository: CRAN
Date/Publication: 2022-11-09 15:50:02 UTC

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New package cauchypca with initial version 1.0
Package: cauchypca
Title: Robust Principal Component Analysis Using the Cauchy Distribution
Version: 1.0
URL:
Date: 2022-11-09
Author: Michail Tsagris [aut, cre], Aisha Fayomi [ctb], Yannis Pantazis [ctb], Andrew T.A. Wood [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: doParallel, foreach, parallel, Rfast, stats
Description: A new robust principal component analysis algorithm is implemented that relies upon the Cauchy Distribution. The algorithm is suitable for high dimensional data even if the sample size is less than the number of variables. The methodology is described in this paper: Fayomi A., Pantazis Y., Tsagris M. and Wood A.T.A. (2022). Cauchy robust principal component analysis with applications to high-dimensional data sets. <arXiv:2211.03181>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-11-09 11:57:04 UTC; Michail
Repository: CRAN
Date/Publication: 2022-11-09 15:50:21 UTC

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New package pwrss with initial version 0.1.0
Package: pwrss
Version: 0.1.0
Title: Power and Sample Size Calculation Tools
Date: 2022-11-09
Description: Statistical power and minimum required sample size calculations for (1) testing a proportion (one-sample) against a constant, (2) testing a mean (one-sample) against a constant, (3) testing difference between two proportions (independent samples), (4) testing difference between two means (independent and paired samples), (5) testing a correlation (one-sample) against a constant, (6) testing difference between two correlations (independent samples), (7) testing an R-squared against zero in linear regression, (8) testing an R-squared difference against zero in hierarchical regression, (9) testing an eta-squared or f-squared (for main and interaction effects) against zero in analysis of variance (could be one-way, two-way, and three-way), (10) testing an eta-squared or f-squared (for main and interaction effects) against zero in analysis of covariance (could be one-way, two-way, and three-way), (11) testing an eta-squared or f-squared (for between, within, and interaction effect [...truncated...]
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
ByteCompile: yes
LazyLoad: yes
License: GPL (>= 3)
Maintainer: Metin Bulus <bulusmetin@gmail.com>
NeedsCompilation: no
Packaged: 2022-11-09 09:30:36 UTC; LENOVO
Author: Metin Bulus [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-09 11:50:03 UTC

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New package jadeLizardOptions with initial version 1.0.1
Package: jadeLizardOptions
Title: Trading Jade Lizard Option Strategies
Version: 1.0.1
Author: MaheshP Kumar [aut, cre]
Maintainer: MaheshP Kumar <maheshparamjitkumar@gmail.com>
Imports: ggplot2, dplyr, magrittr, tibble
Description: Jade Lizard and Reverse Jade Lizard Option Strategies are presented here through their Graphs. The graphic indicators, strategies, calculations, functions and all the discussions are for academic, research, and educational purposes only and should not be construed as investment advice and come with absolutely no Liability. Russell A. Stultz (“The option strategy desk reference: an essential reference for option traders (First edition.)”, 2019, ISBN: 9781949443912).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-09 03:34:08 UTC; mahes
Repository: CRAN
Date/Publication: 2022-11-09 11:40:02 UTC

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New package idopNetwork with initial version 0.1.0
Package: idopNetwork
Title: A Cartographic Tool to Chart Spatial Microbial Interaction Networks
Version: 0.1.0
Author: Ang Dong
Maintainer: Ang Dong <fantasys05227@gmail.com>
Description: Most existing approaches for network reconstruction can only infer an overall network and, also, fail to capture a complete set of network properties. To address these issues, a new model has been developed, which converts static data into their 'dynamic' form. 'idopNetwork' is an 'R' interface to this model, it can inferring informative, dynamic, omnidirectional and personalized networks. For more information on functional clustering part, see Kim et al. (2008) <doi:10.1534/genetics.108.093690>, Wang et al. (2011) <doi:10.1093/bib/bbr032>. For more information on our model, see Chen et al. (2019) <doi:10.1038/s41540-019-0116-1>, and Cao et al. (2022) <doi:10.1080/19490976.2022.2106103>.
License: GPL (>= 3)
Imports: grDevices, stats, mvtnorm, orthopolynom, parallel, deSolve, ggplot2, reshape2, glmnet, igraph, scales, patchwork
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.50)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-09 08:10:14 UTC; ddaa
Repository: CRAN
Date/Publication: 2022-11-09 11:50:06 UTC

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New package DrugSim2DR with initial version 0.1.0
Package: DrugSim2DR
Title: Predict Drug Functional Similarity to Drug Repurposing
Version: 0.1.0
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: A systematic biology tool was developed to repurpose drugs via a drug-drug functional similarity network. 'DrugSim2DR' first predict drug-drug functional similarity in the context of specific disease, and then using the similarity constructed a weighted drug similarity network. Finally, it used a network propagation algorithm on the network to identify drugs with significant target abnormalities as candidate drugs.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: igraph, stats, pheatmap, ChemmineR, rvest, base, sp, tidyr, reshape2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.6)
NeedsCompilation: no
Packaged: 2022-11-09 01:06:15 UTC; Nek
Author: Junwei Han [aut, cre, cph], Ji Li [aut], Jiashuo Wu [aut]
Repository: CRAN
Date/Publication: 2022-11-09 11:10:06 UTC

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New package clustAnalytics with initial version 0.5.2
Package: clustAnalytics
Title: Cluster Evaluation on Graphs
Version: 0.5.2
Date: 2022-11-09
Author: Marti Renedo Mirambell
Maintainer: Marti Renedo Mirambell <marti.renedo@gmail.com>
Description: Evaluates the stability and significance of clusters on 'igraph' graphs. Supports weighted and unweighted graphs. Implements the cluster evaluation methods defined by Arratia A, Renedo M (2021) <doi:10.7717/peerj-cs.600>. Also includes an implementation of the Reduced Mutual Information introduced by Newman et al. (2020) <doi:10.1103/PhysRevE.101.042304>.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.1), mcclust, mclust, truncnorm, boot, fossil, dplyr, Rdpack
LinkingTo: Rcpp
Suggests: igraphdata, knitr, rmarkdown, testthat,
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 2.10), igraph
LazyData: true
NeedsCompilation: yes
Packaged: 2022-11-09 10:18:21 UTC; blaug
Repository: CRAN
Date/Publication: 2022-11-09 11:50:09 UTC

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New package cgalMeshes with initial version 1.0.0
Package: cgalMeshes
Title: R6 Based Utilities for 3D Meshes using 'CGAL'
Version: 1.0.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides some utilities for 3D meshes: clipping of a mesh to the volume bounded by another mesh, decomposition into convex parts, distance between a mesh and a point, triangulation, geodesic distance, Boolean operations (intersection, union, difference), connected components, volume, area, and centroid. Also provides an algorithm for surface reconstruction from a cloud of points. Meshes are represented by R6 classes. All algorithms are performed by the 'C++' library 'CGAL' (<https://www.cgal.org/>).
License: GPL-3
URL: https://github.com/stla/cgalMeshes
BugReports: https://github.com/stla/cgalMeshes/issues
Depends: R (>= 2.10)
Imports: data.table, methods, R6, Rcpp (>= 1.0.9), rgl
Suggests: onion, rmarchingcubes, viridisLite
LinkingTo: BH, Rcpp, RcppCGAL, RcppEigen
Encoding: UTF-8
LazyData: TRUE
SystemRequirements: C++ 17, gmp, mpfr
NeedsCompilation: yes
Packaged: 2022-11-09 10:39:50 UTC; stla
Author: Stephane Laurent [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-09 11:50:12 UTC

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New package ussherR with initial version 1.10
Package: ussherR
Title: Ussher Data Set Drawn from 1658 Chronology
Version: 1.10
Description: The "ussher" data set is drawn from original chronological textual historic events. Commonly known as James Ussher's Annals of the World, the source text was originally written in Latin in 1650, and published in English translation in 1658.The data are classified by index, year, epoch (or one of the 7 ancient "Ages of the World"), Biblical source book if referenced (rarely), as well as alternate dating mechanisms, such as "Anno Mundi" (age of the world) or "Julian Period" (dates based upon the Julian calendar). Additional file "usshfull" includes variables that may be of further interest to historians, such as Southern Kingdom and Northern Kingdom discrepant dates, and the original amalgamated dating mechanic used by Ussher in the original text. The raw data can also be called using "usshraw", as described in: Ussher, J. (1658) <https://archive.org/stream/AnnalsOfTheWorld/Annals_djvu.txt>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports:
NeedsCompilation: no
Packaged: 2022-11-08 14:51:03 UTC; dpaul
Author: Daniel Eness [aut, cre]
Maintainer: Daniel Eness <dpauleness@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-09 10:30:02 UTC

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New package sugarbag with initial version 0.1.6
Package: sugarbag
Title: Create Tessellated Hexagon Maps
Version: 0.1.6
Description: Create a hexagon tile map display from spatial polygons. Each polygon is represented by a hexagon tile, placed as close to it's original centroid as possible, with a focus on maintaining spatial relationship to a focal point. Developed to aid visualisation and analysis of spatial distributions across Australia, which can be challenging due to the concentration of the population on the coast and wide open interior.
URL: https://srkobakian.github.io/sugarbag/, https://github.com/srkobakian/sugarbag
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), dplyr (>= 1.0.0)
Imports: geosphere (>= 1.5), progress (>= 1.2.2), purrr (>= 0.3.4), rlang (>= 1.0.4), rmapshaper (>= 0.4.6), sf (>= 1.0-8), tibble (>= 3.1.7), tidyr (>= 1.2.0)
Suggests: ggplot2 (>= 3.3.6), knitr, pkgdown, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-08 21:29:20 UTC; cookd
Author: Dianne Cook [aut, cre, ths], Stephanie Kobakian [aut]
Maintainer: Dianne Cook <dicook@monash.edu>
Repository: CRAN
Date/Publication: 2022-11-09 10:50:02 UTC

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New package SASdates with initial version 0.1.0
Package: SASdates
Title: Convert the Dates to 'SAS' Formats
Version: 0.1.0
Description: Converts the dates to different 'SAS' date formats. In 'SAS' dates are a special case of numeric values. Each day is assigned a specific numeric value, starting from January 1, 1960. This date is assigned the date value 0, and the next date has a date value of 1 and so on. The previous days to this date are represented by -1 , -2 and so on. With this approach, 'SAS' can represent any date in the future or any date in the past. There are many date formats used in 'SAS' to represent date-time. Here, we try to develop functions which will convert the date to different 'SAS' date formats.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-08 11:16:46 UTC; maheshd
Author: Mahesh Divakaran [aut, cre]
Maintainer: Mahesh Divakaran <imaheshdivakaran@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-09 10:30:17 UTC

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New package rswipl with initial version 8.5.20
Package: rswipl
Title: Embed 'SWI'-'Prolog'
Version: 8.5.20
Date: 2022-10-31
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
License: FreeBSD
Imports: Rcpp (>= 1.0.7)
Depends: R (>= 4.2)
URL: https://github.com/mgondan/rswipl
BugReports: https://github.com/mgondan/rswipl/issues
LinkingTo: Rcpp
Encoding: UTF-8
SystemRequirements: GNU make, CMake (>= 3.10), pandoc, libarchive, libregex, libexpat, liblzma, libzstd, liblz4, libz2, libz, libbcrypt
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2022-11-08 15:15:35 UTC; gondan
Author: Matthias Gondan [aut, com, cre], Jan Wielemaker [ctb, cph]
Repository: CRAN
Date/Publication: 2022-11-09 10:40:02 UTC

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New package Rigma with initial version 0.1.0
Package: Rigma
Title: Access to the 'Figma' API
Version: 0.1.0
Maintainer: Alexandros Kouretsis <alexandros@appsilon.com>
Description: The 'Figma' API allows for interactions and read access to 'Figma' files <https://www.figma.com/developers/api>. This enables you to inspect any objects or layers, as well as their properties, and extract them so you may render them as images outside of 'Figma'. Then you can present your designs, extract design data that can be used for 'Shiny' and 'Rmarkdown', integrate them with other systems, or use them to realize your original ideas.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/AleKoure/Rigma
Imports: checkmate, httr2, lubridate, magrittr, purrr, xml2
Suggests: covr, httptest2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-08 09:13:00 UTC; ale
Author: Alexandros Kouretsis [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-09 10:30:20 UTC

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New package nett with initial version 1.0.0
Package: nett
Title: Network Analysis and Community Detection
Version: 1.0.0
Description: Features tools for the network data analysis and community detection. Provides multiple methods for fitting, model selection and goodness-of-fit testing in degree-corrected stochastic blocks models. Most of the computations are fast and scalable for sparse networks, esp. for Poisson versions of the models. Implements the following: Amini, Chen, Bickel and Levina (2013) <doi:10.1214/13-AOS1138> Bickel and Sarkar (2015) <doi:10.1111/rssb.12117> Lei (2016) <doi:10.1214/15-AOS1370> Wang and Bickel (2017) <doi:10.1214/16-AOS1457> Zhang and Amini (2020) <arXiv:2012.15047> Le and Levina (2022) <doi:10.1214/21-EJS1971>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, igraph, ggplot2, dplyr, tidyr, tibble, mixtools, EnvStats, purrr, RSpectra
Depends: R (>= 2.10)
Imports: magrittr, Rcpp, Matrix, foreach, methods, stats, grDevices, graphics
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
URL: https://github.com/aaamini/nett
BugReports: https://github.com/aaamini/nett/issues
NeedsCompilation: yes
Packaged: 2022-11-08 04:01:28 UTC; linfanzhang
Author: Arash A. Amini [aut, cre] , Linfan Zhang [aut]
Maintainer: Arash A. Amini <aaamini@ucla.edu>
Repository: CRAN
Date/Publication: 2022-11-09 10:50:05 UTC

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New package mas with initial version 0.1
Package: mas
Title: Membership Association Studies
Version: 0.1
Date: 2022-11-04
Author: Alencar Xavier [aut, cre], Shizhong Xu [aut, ctb]
Maintainer: Alencar Xavier <alenxav@gmail.com>
Description: Genome-wide association analysis with membership information, variance adjustment, and correlated responses.
License: GPL-3
Imports: Rcpp, truncdist
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 3.2.0), methods (>= 3.2.0)
NeedsCompilation: yes
Packaged: 2022-11-08 03:39:03 UTC; rd7564
Repository: CRAN
Date/Publication: 2022-11-09 10:20:02 UTC

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New package iotarelr with initial version 0.1.2
Package: iotarelr
Title: Iota Inter Coder Reliability for Content Analysis
Version: 0.1.2
Description: Routines and tools for assessing the quality of content analysis on the basis of the Iota Reliability Concept. The concept is inspired by item response theory and can be applied to any kind of content analysis which uses a standardized coding scheme and discrete categories. It is also applicable for content analysis conducted by artificial intelligence. The package provides reliability measures for a complete scale as well as for every single category. Analysis of subgroup-invariance and error corrections are implemented. This information can support the development process of a coding scheme and allows a detailed inspection of the quality of the generated data. Equations and formulas working in this package are part of Berding et al. (2022)<doi:10.3389/feduc.2022.818365> and Berding and Pargmann (2022,ISBN:978-3-8325-5581-8).
License: GPL-3
URL: https://fberding.github.io/iotarelr/
BugReports: https://github.com/FBerding/iotarelr/issues
Depends: R (>= 3.5.0)
Imports: ggplot2, gridExtra, methods, Rcpp, rlang, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2022-11-08 08:01:55 UTC; WissMit
Author: Berding Florian [aut, cre] , Pargmann Julia [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>
Repository: CRAN
Date/Publication: 2022-11-09 10:30:11 UTC

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New package googletraffic with initial version 0.1.0
Package: googletraffic
Title: Google Traffic
Version: 0.1.0
Description: Create geographically referenced traffic data from the Google Maps JavaScript API <https://developers.google.com/maps/documentation/javascript/examples/layer-traffic>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://dime-worldbank.github.io/googletraffic/
Imports: dplyr, googleway, htmlwidgets, plotwidgets, png, sf, sp, stringr, webshot, raster
NeedsCompilation: no
Packaged: 2022-11-08 13:18:07 UTC; robmarty
Author: Robert Marty [aut, cre]
Maintainer: Robert Marty <rmarty@worldbank.org>
Repository: CRAN
Date/Publication: 2022-11-09 10:30:14 UTC

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New package ebvcube with initial version 0.1.1
Package: ebvcube
Title: Working with netCDF for Essential Biodiversity Variables
Version: 0.1.1
Date: 2022-11-08
Author: Luise Quoss [aut, cre] , Nestor Fernandez [aut] , Christian Langer [aut] , Jose Valdez [aut] , Henrique Miguel Pereira [aut]
Maintainer: Luise Quoss <luise.quoss@idiv.de>
Description: The concept of Essential Biodiversity Variables (EBV) comes with a data structure based on the Network Common Data Form (netCDF). The 'ebvcube' 'R' package provides functionality to easily create, access and visualise this data. The EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.
URL: https://portal.geobon.org/ https://geobon.org/ebvs/what-are-ebvs/ https://github.com/LuiseQuoss/ebvcube
BugReports: https://github.com/LuiseQuoss/ebvcube/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: checkmate, curl, DelayedArray, ggplot2, HDF5Array, jsonlite, memuse, methods, ncdf4, ncmeta, reshape2, rhdf5, stringr, terra, tidyterra, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: GDAL binaries
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2022-11-08 17:02:21 UTC; lq39quba
Repository: CRAN
Date/Publication: 2022-11-09 10:40:06 UTC

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New package mcr with initial version 1.3.1
Package: mcr
Version: 1.3.1
Date: 2022-11-07
Title: Method Comparison Regression
Maintainer: Sergej Potapov <sergej.potapov@roche.com>
Depends: R (>= 3.0.0), parallel, robslopes
Imports: stats, graphics, grDevices, methods
Description: Regression methods to quantify the relation between two measurement methods are provided by this package. In particular it addresses regression problems with errors in both variables and without repeated measurements. It implements the CLSI recommendations (see J. A. Budd et al. (2018, <https://clsi.org/standards/products/method-evaluation/documents/ep09/>) for analytical method comparison and bias estimation using patient samples. Furthermore, algorithms for Theil-Sen and equivariant Passing-Bablok estimators are implemented, see F. Dufey (2020, <doi:10.1515/ijb-2019-0157>) and J. Raymaekers and F. Dufey (2022, <arXiv:2202:08060>). A comprehensive overview over the implemented methods and references can be found in the manual pages "mcr-package" and "mcreg".
License: GPL (>= 3)
LazyData: true
NeedsCompilation: yes
Packaged: 2022-11-08 07:30:07 UTC; potapovs
Author: Sergej Potapov [aut, cre], Fabian Model [aut], Andre Schuetzenmeister [aut] , Ekaterina Manuilova [aut], Florian Dufey [aut] , Jakob Raymaekers [aut] , Roche [cph, fnd]
Repository: CRAN
Date/Publication: 2022-11-09 07:20:07 UTC

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Tue, 08 Nov 2022

New package TensorPreAve with initial version 0.1.1
Package: TensorPreAve
Title: Rank and Factor Loadings Estimation in Time Series Tensor Factor Models
Version: 0.1.1
Author: Weilin Chen [aut, cre]
Description: A set of functions to estimate rank and factor loadings of time series tensor factor models. A tensor is a multidimensional array. To analyze high-dimensional tensor time series, factor model is a major dimension reduction tool. 'TensorPreAve' provides functions to estimate the rank of core tensors and factor loading spaces of tensor time series. More specifically, a pre-averaging method that accumulates information from tensor fibres is used to estimate the factor loading spaces. The estimated directions corresponding to the strongest factors are then used for projecting the data for a potentially improved re-estimation of the factor loading spaces themselves. A new rank estimation method is also implemented to utilizes correlation information from the projected data. See Chen and Lam (2022) <arXiv:2208.04012> for more details.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/William-Chenwl/TensorPreAve
Imports: rTensor,MASS,stats,pracma
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-07 23:32:03 UTC; William Chan
Maintainer: Weilin Chen <w.chen56@lse.ac.uk>
Repository: CRAN
Date/Publication: 2022-11-08 14:20:21 UTC

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New package SurvCorr with initial version 1.1
Package: SurvCorr
Title: Correlation of Bivariate Survival Times
Version: 1.1
Date: 2022-11-08
Depends: R (>= 3.0.2)
Imports: survival, fields
Description: Estimates correlation coefficients with associated confidence limits for bivariate, partially censored survival times. Uses the iterative multiple imputation approach proposed by Schemper, Kaider, Wakounig and Heinze (2013) <doi:10.1002/sim.5874>. Provides a scatterplot function to visualize the bivariate distribution, either on the original time scale or as copula.
License: GPL
Packaged: 2022-11-08 11:38:20 UTC; Gregor
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-11-08 14:10:12 UTC
Author: Georg Heinze [aut, cre], Meinhard Ploner [aut], Alexandra Kaider [aut], Gregor Steiner [aut]
Maintainer: Georg Heinze <georg.heinze@meduniwien.ac.at>

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