CRANberries

Wed, 29 Jun 2022

New package bandit with initial version 0.5.1
Package: bandit
Title: Functions for Simple a/B Split Test and Multi-Armed Bandit Analysis
Version: 0.5.1
Date: 2022-06-028
Imports: boot, gam (>= 1.09)
Author: Thomas Lotze and Markus Loecher
Maintainer: Markus Loecher <markus.loecher@gmail.com>
Description: A set of functions for doing analysis of A/B split test data and web metrics in general.
License: GPL-3
NeedsCompilation: no
Repository: CRAN
Packaged: 2022-06-28 16:06:35 UTC; loecherm
Date/Publication: 2022-06-29 11:20:12 UTC

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Tue, 28 Jun 2022

New package statcodelists with initial version 0.9.2
Package: statcodelists
Title: Use Standardized Statistical Codelists
Version: 0.9.2
Description: The goal of statcodelists is to promote the reuse and exchange of statistical information and related metadata with making the internationally standardized SDMX code lists available for the R user. SDMX has been published as an ISO International Standard (ISO 17369). The metadata definitions, including the codelists are updated regularly according to the standard. The authoritative version of the code lists made available in this package is <https://sdmx.org/?page_id=3215/>.
Language: en-US
License: CC0
URL: https://statcodelists.dataobservatory.eu, https://github.com/antaldaniel
BugReports: https://github.com/antaldaniel/statcodelists/issues
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: spelling
NeedsCompilation: no
Packaged: 2022-06-28 08:19:42 UTC; Daniel Antal
Author: Daniel Antal [aut, cre]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>
Repository: CRAN
Date/Publication: 2022-06-28 16:20:02 UTC

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New package spectralR with initial version 0.1.2
Package: spectralR
Title: Obtain and Visualize Spectral Reflectance Data for Earth Surface Polygons
Version: 0.1.2
Description: Tools for obtaining, processing, and visualizing spectral reflectance data for the user-defined land or water surface classes for visual exploring in which wavelength the classes differ. Input should be a shapefile with polygons of surface classes (it might be different habitat types, crops, vegetation, etc.). The Sentinel-2 L2A satellite mission optical bands pixel data are obtained through the Google Earth Engine service (<https://earthengine.google.com/>) and used as a source of spectral data.
Depends: R (>= 4.1.0)
Imports: rgee (>= 1.1.3), geojsonio (>= 0.9.4), sf (>= 1.0-7), dplyr (>= 1.0.9), ggplot2 (>= 3.3.5), reshape2 (>= 1.4.0), rlang (>= 1.0.0), tibble (>= 3.1.0), tidyr (>= 1.2.0)
Suggests: tinytest (>= 1.3.0)
License: GPL-3
URL: https://github.com/olehprylutskyi/spectralR/
BugReports: https://github.com/olehprylutskyi/spectralR/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-28 08:49:51 UTC; mik
Author: Oleh Prylutskyi [aut, cre], Dariia Shyriaieva [ctb], Vladimir Mikryukov [ctb]
Maintainer: Oleh Prylutskyi <oleh.prylutskyi@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-28 16:30:02 UTC

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New package segen with initial version 1.0.0
Package: segen
Title: Sequence Generalization Through Similarity Network
Version: 1.0.0
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: Proposes an application for sequence prediction generalizing the similarity within the network of previous sequences.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: purrr (>= 0.3.4), ggplot2 (>= 3.3.5), readr (>= 2.1.2), lubridate (>= 1.7.10), imputeTS (>= 3.2), fANCOVA (>= 0.6-1), scales (>= 1.1.1), tictoc (>= 1.0.1), modeest (>= 2.4.0), moments (>= 0.14), greybox (>= 1.0.1), philentropy (>= 0.5.0), entropy (>= 1.3.1), Rfast (>= 2.0.6), narray (>= 0.4.1.1)
URL: https://rpubs.com/giancarlo_vercellino/segen
NeedsCompilation: no
Packaged: 2022-06-28 08:08:25 UTC; gvercellino
Repository: CRAN
Date/Publication: 2022-06-28 16:20:05 UTC

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New package kmscv with initial version 0.1.0
Package: kmscv
Title: K-Means Based Stratified Resampling
Version: 0.1.0
Description: An 'rsample' extension to create cluster based stratified resamples for cross-validation.
License: GPL (>= 3)
Encoding: UTF-8
Imports: parsnip,rsample,tibble,purrr,dplyr
BugReports: https://github.com/sametsoekel/kmscv/issues
NeedsCompilation: no
Packaged: 2022-06-28 07:27:37 UTC; samet.sokel
Author: Samet Sokel [aut, cre]
Maintainer: Samet Sokel <a_s@eskisehir.edu.tr>
Repository: CRAN
Date/Publication: 2022-06-28 16:20:08 UTC

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New package xQTLbiolinks with initial version 1.0.0
Package: xQTLbiolinks
Title: An R Package for Integrative Analysis of Quantitative Trait Locus Data of 'GTEx'
Version: 1.0.0
Description: User can query, download, and visualize of molecular quantitative trait locus and gene expression data from public resources through the application programming interface <https://gtexportal.org/home/api-docs/index.html> of 'GTEx'.
URL: https://github.com/dingruofan/xQTLbiolinks
BugReports: https://github.com/dingruofan/xQTLbiolinks/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.00)
VignetteBuilder: knitr
Imports: BiocGenerics, cowplot (>= 1.1.1), curl (>= 4.3.2), data.table (>= 1.14.2), DBI, GenomeInfoDb, GenomicRanges, ggplot2 (>= 3.3.6), ggrepel, ggridges, httr, IRanges, jsonlite (>= 1.7.2), PupillometryR, RMySQL, scales, stringr (>= 1.4.0), SummarizedExperiment (>= 1.4.0), utils (>= 4.0.3), viridis
Suggests: coloc, knitr, rtracklayer, usethis
NeedsCompilation: no
Packaged: 2022-06-27 19:19:29 UTC; DELL
Author: Ruofan Ding [aut, cre], Xudong Zou [aut, ctb], Yangmei Qin [aut, ctb], Gao Wang [aut, ctb], Lei Li [aut, ctb, cph]
Maintainer: Ruofan Ding <dingruofan1@foxmail.com>
Repository: CRAN
Date/Publication: 2022-06-28 16:00:02 UTC

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New package WeibullR.ALT with initial version 0.7.2
Package: WeibullR.ALT
Title: Accelerated Life Testing Using 'WeibullR'
Version: 0.7.2
Date: 2022-6-27
Description: Graphical data analysis of accelerated life tests. Methods derived from Wayne Nelson (1990, ISBN: 9780471522775), William Q. Meeker and Lois A. Escobar (1998, ISBN: 1-471-14328-6).
License: GPL (>= 3)
Copyright: copyright (c) OpenReliability.org 2022
Author: David Silkworth [aut], Jacob Ormerod [cre], OpenReliability.org [cph]
Depends: R (>= 3.5.0), WeibullR, methods
URL: http://www.openreliability.org/weibull-r-weibull-analysis-on-r/
LazyLoad: yes
NeedsCompilation: no
Packaged: 2022-06-27 15:23:15 UTC; djsil
Maintainer: Jacob Ormerod <jake@openreliability.org>
Repository: CRAN
Date/Publication: 2022-06-28 15:50:06 UTC

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New package tcgaViz with initial version 1.0.0
Package: tcgaViz
Title: Visualization Tool for the Cancer Genome Atlas Program (TCGA)
Version: 1.0.0
Description: Differential analysis of tumor tissue immune cell type abundance based on RNA-seq gene-level expression from The Cancer Genome Atlas (TCGA; <https://pancanatlas.xenahubs.net>) database.
License: GPL-3
Depends: R (>= 2.10)
Imports: config, data.table, dplyr, DT, ggplot2, ggpubr, golem, grDevices, magrittr, methods, openxlsx, plotly, readr, reshape2, rlang, rstatix, shiny, shinyFeedback, shinyjs, stats, stringr, tidyr, tidyselect, utils
Suggests: BiocCheck, covr, knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2022-06-27 14:26:10 UTC; rstudio
Author: Etienne Camenen [aut, cre], Gilles Marodon [aut], Nicolas Aubert [aut]
Maintainer: Etienne Camenen <etienne.camenen@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-28 15:50:02 UTC

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New package qsplines with initial version 0.1.0
Package: qsplines
Title: Quaternions Splines
Version: 0.1.0
Description: Provides routines to create some quaternions splines: Barry-Goldman algorithm, De Casteljau algorithm, and Kochanek-Bartels algorithm. The implementations are based on the Python library 'splines'. Quaternions splines allow to construct spherical curves. References: Barry and Goldman <doi:10.1145/54852.378511>, Kochanek and Bartels <doi:10.1145/800031.808575>.
License: GPL-3
URL: https://github.com/stla/qsplines
BugReports: https://github.com/stla/qsplines/issues
Depends: onion
Imports: shiny, stats, utils
Suggests: rgl
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-27 08:54:43 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Matthias Geier [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2022-06-28 15:30:02 UTC

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New package OBL with initial version 0.1.0
Package: OBL
Title: Optimum Block Length
Version: 0.1.0
Maintainer: Daniel James <futathesis@gmail.com>
Description: Obtain optimum block from Non-overlapping Block Bootstrap method.
Depends: R (>= 4.2.0)
Imports: forecast, foreach, doParallel, parallel, future, utils, stats, tibble
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-27 18:13:56 UTC; economia
Author: Daniel James [cre, aut], Ayinde Kayode [aut]
Repository: CRAN
Date/Publication: 2022-06-28 16:00:05 UTC

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New package IDEAFilter with initial version 0.1.2
Package: IDEAFilter
Version: 0.1.2
Title: Agnostic, Idiomatic Data Filter Module for Shiny
Description: When added to an existing shiny app, users may subset any developer-chosen R data.frame on the fly. That is, users are empowered to slice & dice data by applying multiple (order specific) filters using the AND (&) operator between each, and getting real-time updates on the number of rows effected/available along the way. Thus, any downstream processes that leverage this data source (like tables, plots, or statistical procedures) will re-render after new filters are applied. The shiny module’s user interface has a 'minimalist' aesthetic so that the focus can be on the data & other visuals. In addition to returning a reactive (filtered) data.frame, 'IDEAFilter' as also returns 'dplyr' filter statements used to actually slice the data.
License: AGPL-3
URL: https://biogen-inc.github.io/IDEAFilter/
BugReports: https://github.com/Biogen-Inc/IDEAFilter/issues
Encoding: UTF-8
Imports: shiny, ggplot2, pillar (>= 1.5.0), crayon, RColorBrewer, shinyTime, purrr
Suggests: shinytest, shinytest2, testthat, knitr, rmarkdown, spelling, dplyr
Language: en-US
NeedsCompilation: no
Packaged: 2022-06-27 15:53:49 UTC; aclark5
Author: Aaron Clark [aut, cre] , Doug Kelkhoff [aut], Maya Gans [ctb], Jeff Thompson [ctb], Biogen [cph]
Maintainer: Aaron Clark <clark.aaronchris@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-28 15:50:08 UTC

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New package bentcableAR with initial version 0.3.1
Package: bentcableAR
Title: Bent-Cable Regression for Independent Data or Autoregressive Time Series
Version: 0.3.1
Date: 2022-06-27
Author: Grace Chiu <bentcable@gmail.com>, Virginia Institute of Marine Science, William & Mary PO Box 1346, Gloucester Point, VA 23062, USA
Maintainer: Grace Chiu <bentcable@gmail.com>
Description: Included are two main interfaces, bentcable.ar() and bentcable.dev.plot(), for fitting and diagnosing bent-cable regressions for autoregressive time-series data (Chiu and Lockhart 2010, <doi:10.1002/cjs.10070>) or independent data (time series or otherwise - Chiu, Lockhart and Routledge 2006, <doi:10.1198/016214505000001177>). Some components in the package can also be used as stand-alone functions. The bent cable (linear-quadratic-linear) generalizes the broken stick (linear-linear), which is also handled by this package. Version 0.2 corrected a glitch in the computation of confidence intervals for the CTP. References that were updated from Versions 0.2.1 and 0.2.2 appear in Version 0.2.3 and up. Version 0.3.0 improved robustness of the error-message producing mechanism. Version 0.3.1 improves the NAMESPACE file of the package. It is the author's intention to distribute any future updates via GitHub.
License: GPL (>= 3)
Packaged: 2022-06-28 02:13:33 UTC; gschiu
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-06-28 10:40:02 UTC

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New package ecostats with initial version 1.1.10
Package: ecostats
Title: Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Version: 1.1.10
Date: 2022-06-28
Description: Functions and data supporting the Eco-Stats text (Warton, 2022, Springer), and solutions to exercises. Functions include tools for using simulation envelopes in diagnostic plots, and a function for diagnostic plots of multivariate linear models. Datasets mentioned in the package are included here (where not available elsewhere) and there is a vignette for each chapter of the text with solutions to exercises.
License: LGPL (>= 2.1)
Imports: ecoCopula, GET, graphics, grDevices, MASS, mgcv, mvtnorm, stats
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), mvabund (>= 4.2)
Suggests: knitr, rmarkdown, ade4, caper, car, corrplot, DAAG, DHARMa, dplyr, ecomix, gclus, GGally, ggplot2, ggthemes, glmnet, gllvm, glmmTMB, GPArotation, grplasso, lattice, leaps, lme4, MCMCglmm, multcomp, nlme, ordinal, permute, pgirmess, phylobase, phylosignal, psych, reshape2, smatr, testthat, vegan, VGAM
Additional_repositories: https://dwarton.github.io/drat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-28 07:10:35 UTC; z3103495
Author: David Warton [aut, cre], Christopher Chung [ctb], Mark Donoghoe [ctb], Eve Slavich [ctb]
Maintainer: David Warton <david.warton@unsw.edu.au>
Repository: CRAN
Date/Publication: 2022-06-28 09:30:02 UTC

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New package VisualizeSimon2Stage with initial version 0.1.0
Package: VisualizeSimon2Stage
Title: Visualize Simon's Two-Stage Design
Version: 0.1.0
Date: 2022-06-26
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Description: Functions for visualizing the probabilities of early termination, fail and success of Simon's two-stage design. Functions for evaluating and visualizing the operating characteristics of Simon's two-stage design.
License: GPL-2
Imports: methods
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.2.0),ggplot2
Suggests: clinfun
NeedsCompilation: no
Packaged: 2022-06-26 20:32:48 UTC; txz003
Repository: CRAN
Date/Publication: 2022-06-28 07:20:05 UTC

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New package odns with initial version 1.0.0
Package: odns
Title: Access Scottish Health and Social Care Open Data
Version: 1.0.0
Description: Allows potential users of Scottish Health and Social Care Open Data (<https://www.opendata.nhs.scot/>) to easily explore and extract the available data.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: glue, httr, utils, data.table, methods, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mockery, digest
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-27 08:02:31 UTC; friday
Author: James Hardy [aut, cre]
Maintainer: James Hardy <jrh-dev@protonmail.com>
Repository: CRAN
Date/Publication: 2022-06-28 07:30:02 UTC

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New package hdtg with initial version 0.1.0
Package: hdtg
Title: Generate Samples from Multivariate Truncated Normal Distributions
Version: 0.1.0
Maintainer: Zhenyu Zhang <zhangzhenyusa@gmail.com>
Description: Efficient sampling from high-dimensional truncated Gaussian distributions (so comes the package name hdtg). Techniques include zigzag Hamiltonian Monte Carlo as in Akihiko Nishimura, Zhenyu Zhang and Marc A. Suchard (2021) <arXiv:2104.07694>, and harmonic Hamiltonian Monte Carlo in Ari Pakman and Liam Paninski (2014) <doi:10.1080/10618600.2013.788448>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, RcppParallel, RcppXsimd, mgcv, stats, Rdpack
LinkingTo: Rcpp, RcppEigen, RcppParallel, RcppXsimd
SystemRequirements: C++14
NeedsCompilation: yes
Packaged: 2022-06-26 21:02:33 UTC; zhenyuzhang
Author: Zhenyu Zhang [aut, cre], Andrew Chin [aut], Akihiko Nishimura [aut], Marc A. Suchard [aut], John W. Ratcliff et al. [cph, ctb]
Repository: CRAN
Date/Publication: 2022-06-28 07:20:02 UTC

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New package CondMVT with initial version 0.1.0
Package: CondMVT
Title: Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants
Version: 0.1.0
Maintainer: Paul Kinyanjui <kinyanjui.access@gmail.com>
Description: Computes conditional multivariate t probabilities, random deviates, and densities. It can also be used to create missing values at random in a dataset, resulting in a missing at random (MAR) mechanism. Inbuilt in the package are the Expectation-Maximization (EM), Monte Carlo EM, and Stochastic EM algorithms for imputation of missing values in datasets assuming the multivariate t distribution. See Kinyanjui, Tamba, Orawo, and Okenye (2020)<doi:10.3233/mas-200493>, and Kinyanjui, Tamba, and Okenye(2021)<http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0> for more details.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, mvtnorm
NeedsCompilation: no
Packaged: 2022-06-26 20:52:27 UTC; Lenovo
Author: Paul Kinyanjui [aut, cre], Cox Tamba [aut], Justin Okenye [aut], Luke Orawo [ctb]
Repository: CRAN
Date/Publication: 2022-06-28 07:20:08 UTC

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Mon, 27 Jun 2022

New package RcppCensSpatial with initial version 0.3.0
Package: RcppCensSpatial
Title: Spatial Estimation and Prediction for Censored/Missing Responses
Version: 0.3.0
Description: It provides functions to estimate parameters in linear spatial models with censored/missing responses via the Expectation-Maximization (EM), the Stochastic Approximation EM (SAEM), or the Monte Carlo EM (MCEM) algorithm. These algorithms are widely used to compute the maximum likelihood (ML) estimates in problems with incomplete data. The EM algorithm computes the ML estimates when a closed expression for the conditional expectation of the complete-data log-likelihood function is available. In the MCEM algorithm, the conditional expectation is substituted by a Monte Carlo approximation based on many independent simulations of the missing data. In contrast, the SAEM algorithm splits the E-step into simulation and integration steps. This package also approximates the standard error of the estimates using the Louis method. Moreover, it has a function that performs spatial prediction in new locations.
License: GPL (>= 2)
Encoding: UTF-8
Imports: ggplot2, gridExtra, MomTrunc, mvtnorm, Rcpp, Rdpack, relliptical, stats, StempCens
LinkingTo: RcppArmadillo, Rcpp, RcppProgress, roptim
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2022-06-27 22:27:04 UTC; 55199
Author: Katherine A. L. Valeriano [aut, cre] , Alejandro Ordonez Cuastumal [ctb] , Christian Galarza Morales [ctb] , Larissa Avila Matos [ctb]
Maintainer: Katherine A. L. Valeriano <katandreina@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-27 23:00:02 UTC

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New package PRIMME with initial version 3.2-3
Package: PRIMME
Title: Eigenvalues and Singular Values and Vectors from Large Matrices
Version: 3.2-3
Date: 2022-06-25
Maintainer: Eloy Romero <eloy@cs.wm.edu>
Description: R interface to 'PRIMME' <https://www.cs.wm.edu/~andreas/software/>, a C library for computing a few eigenvalues and their corresponding eigenvectors of a real symmetric or complex Hermitian matrix, or generalized Hermitian eigenproblem. It can also compute singular values and vectors of a square or rectangular matrix. 'PRIMME' finds largest, smallest, or interior singular/eigenvalues and can use preconditioning to accelerate convergence. General description of the methods are provided in the papers Stathopoulos (2010, <doi:10.1145/1731022.1731031>) and Wu (2017, <doi:10.1137/16M1082214>). See 'citation("PRIMME")' for details.
URL: https://www.cs.wm.edu/~andreas/software/ https://github.com/primme/primme
BugReports: https://github.com/primme/primme/issues
Imports: Rcpp
LinkingTo: Rcpp, Matrix
Suggests: Matrix
SystemRequirements: A POSIX system. Currently Linux and OS X are known to work. GNU make.
NeedsCompilation: yes
License: GPL-3
Encoding: UTF-8
Packaged: 2022-06-25 14:32:55 UTC; eloy
Author: Eloy Romero [aut, cre], Andreas Stathopoulos [aut], Lingfei Wu [aut], College of William & Mary [cph]
Repository: CRAN
Date/Publication: 2022-06-27 23:00:06 UTC

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New package bayeslm with initial version 1.0.1
Package: bayeslm
Title: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors
Version: 1.0.1
Date: 2022-6-25
Maintainer: Jingyu He <jingyuhe@cityu.edu.hk>
Description: Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Lopes (2018) <arXiv:1806.05738>.
License: LGPL (>= 2)
Imports: Rcpp (>= 0.12.7), stats, graphics, grDevices, coda, methods, RcppParallel
SystemRequirements: GNU make
Depends: R (>= 2.10)
URL: https://github.com/JingyuHe/bayeslm
NeedsCompilation: yes
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Packaged: 2022-06-27 02:09:32 UTC; jingyuhe
Author: Jingyu He [aut, cre], P. Richard Hahn [aut], Hedibert Lopes [aut], Andrew Herren [ctb]
Repository: CRAN
Date/Publication: 2022-06-27 22:50:02 UTC

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New package fangs with initial version 0.1.6
Package: fangs
Title: Feature Allocation Neighborhood Search Algorithm
Version: 0.1.6
Description: A neighborhood-based, greedy search algorithm is performed to estimate a feature allocation by minimizing the expected loss based on posterior samples from the feature allocation distribution.
License: MIT + file LICENSE | Apache License 2.0
Depends: R (>= 4.2.0)
Imports: cargo (>= 0.2.5)
SystemRequirements: Cargo (>= 1.61) for installation from sources: see INSTALL file
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-25 21:36:10 UTC; dahl
Author: David B. Dahl [aut, cre] , Jacob Andros [aut] , Devin J. Johnson [aut]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Repository: CRAN
Date/Publication: 2022-06-27 15:10:02 UTC

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New package scOntoMatch with initial version 0.1.0
Package: scOntoMatch
Title: Aligning Ontology Annotation Across Single Cell Datasets with 'scOntoMatch'
Version: 0.1.0
Author: Yuyao Song [aut, cre]
Maintainer: Yuyao Song <ysong@ebi.ac.uk>
Description: Unequal granularity of cell type annotation makes it difficult to compare scRNA-seq datasets at scale. Leveraging the ontology system for defining cell type hierarchy, 'scOntoMatch' aims to align cell type annotations to make them comparable across studies. The alignment involves two core steps: first is to trim the cell type tree within each dataset so each cell type does not have descendants, and then map cell type labels cross-studies by direct matching and mapping descendants to ancestors. Various functions for plotting cell type trees and manipulating ontology terms are also provided. In the Single Cell Expression Atlas hosted at EBI, a compendium of datasets with curated ontology labels are great inputs to this package.
Imports: ontologyIndex, ontologyPlot, purrr
URL: https://github.com/YY-SONG0718/scOntoMatch
BugReports: https://github.com/YY-SONG0718/scOntoMatch/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R(>= 3.5)
Suggests: knitr, devtools, SeuratObject
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-25 18:04:53 UTC; ysong
Repository: CRAN
Date/Publication: 2022-06-27 15:00:08 UTC

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New package nparLD with initial version 2.1-1
Package: nparLD
Version: 2.1-1
Date: 2022-06-27
Title: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Author: Kimihiro Noguchi <kinoguchi@ucdavis.edu>, Mahbub Latif <mlatif@gwdg.de>, Karthinathan Thangavelu <kthanga@gwdg.de>, Frank Konietschke <fkoniet@gwdg.de>, Yulia R. Gel <ygl@math.uwaterloo.ca>, Edgar Brunner <brunner@ams.med.uni-goettingen.de>
Maintainer: ORPHANED
Depends: R (>= 2.6.0), MASS
License: GPL (>= 2)
Description: Performs nonparametric analysis of longitudinal data in factorial experiments. Longitudinal data are those which are collected from the same subjects over time, and they frequently arise in biological sciences. Nonparametric methods do not require distributional assumptions, and are applicable to a variety of data types (continuous, discrete, purely ordinal, and dichotomous). Such methods are also robust with respect to outliers and for small sample sizes.
NeedsCompilation: no
Packaged: 2022-06-27 09:43:39 UTC; ligges
Repository: CRAN
Date/Publication: 2022-06-27 11:43:39

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New package rTCRBCRr with initial version 0.1.0
Package: rTCRBCRr
Title: Repertoire Analysis of the Detected Clonotype
Version: 0.1.0
Description: The 'TRUST4' or 'MiXCR' is used to identify the clonotypes. The goal of 'rTCRBCRr' is to process the results from these clonotyping tools, and analyze the clonotype repertoire metrics based on chain names and IGH isotypes. The manuscript is still under preparation for publication for now. The references describing the methods in this package will be added later.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, readr, tidyr, tidyselect
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-18 05:10:48 UTC; Andy
Author: Lizhong Ding [aut, cre]
Maintainer: Lizhong Ding <z82xh3f4r@mozmail.com>
Repository: CRAN
Date/Publication: 2022-06-27 07:20:02 UTC

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New package mmcif with initial version 0.1.0
Package: mmcif
Title: Mixed Multivariate Cumulative Incidence Functions
Version: 0.1.0
Description: Fits the mixed cumulative incidence functions model suggested by <doi:10.1093/biostatistics/kxx072> which decomposes within cluster dependence of risk and timing. The estimation method supports computation in parallel using a shared memory C++ implementation. A sandwich estimator of the covariance matrix is available. Natural cubic splines are used to provide a flexible model for the cumulative incidence functions.
License: GPL (>= 3)
URL: https://github.com/boennecd/mmcif
BugReports: https://github.com/boennecd/mmcif/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
VignetteBuilder: R.rsp
LinkingTo: Rcpp, RcppArmadillo, testthat, psqn
Imports: Rcpp, stats, alabama
Suggests: testthat (>= 3.0.0), xml2, mvtnorm, R.rsp, mets
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2022-06-25 16:52:24 UTC; boennecd
Author: Benjamin Christoffersen [cre, aut] , Mark Clements [cph], Alan Genz [cph], Frank Bretz [cph], Torsten Hothorn [cph], R-core [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-27 07:40:02 UTC

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New package lipidmapsR with initial version 1.0.4
Package: lipidmapsR
Title: Lipid Maps Rest Service
Version: 1.0.4
Date: 2022-06-17
Depends: R (>= 4.2.0)
Imports: httr (>= 1.3.1), RJSONIO (>= 1.3-0)
Description: Lipid Maps Rest service. Researchers can access the Lipid Maps Rest service programmatically and conveniently integrate it into the current workflow or packages.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-24 23:22:21 UTC; liyao
Author: Mingzhuo Tian [aut, cre], Yaoxiang Li [ctb], Amrita Cheema [ctb]
Maintainer: Mingzhuo Tian <tianmingzhuo@outlook.com>
Repository: CRAN
Date/Publication: 2022-06-27 07:30:02 UTC

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New package hydrorecipes with initial version 0.0.3
Package: hydrorecipes
Title: Hydrogeology Steps for the 'recipes' Package
Version: 0.0.3
Date: 2022-06-24
Maintainer: Jonathan Kennel <jkennel@uoguelph.ca>
Description: Additional steps to be used with the 'recipes' package. New steps were designed for regression deconvolution on datasets with millions of rows with applications to signal decomposition and response characterization. The methods in this package were developed as part of PhD thesis titled High Frequency Water Level Responses to Natural Signals <http://hdl.handle.net/10214/17890> by Jonathan Kennel in 2020.
BugReports: https://github.com/jkennel/hydrorecipes/issues
URL: https://github.com/jkennel/hydrorecipes
License: GPL-3
Depends: R (>= 4.1.0), recipes (>= 0.1.15)
Imports: Rcpp (>= 1.0.7), earthtide, generics, splines, tibble, dplyr, rlang, tidyr, fftw
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Encoding: UTF-8
Suggests: knitr, rmarkdown, ggplot2, scales, broom, glmnet, testthat (>= 3.0.0), covr, splines2
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
SystemRequirements: C++11
Packaged: 2022-06-24 18:55:23 UTC; jonathankennel
Author: Jonathan Kennel [aut, cre], Beth Parker [ths]
Repository: CRAN
Date/Publication: 2022-06-27 07:30:04 UTC

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New package DEET with initial version 1.0.2
Package: DEET
Title: Differential Expression Enrichment Tool
Version: 1.0.2
Maintainer: Dustin Sokolowski <dustin.sokolowski@sickkids.ca>
Description: A bio informatics R package for comparing a list of human genes to published RNA-Seq studies containing similar DE genes. Reference: Sokolowski,D.J., Ahn J., Erdman,L., Hou,H., Wang L., Goldenberg,A., and Wilson,M.D. (2022) Differential Expression Enrichment Tool (DEET): An interactive atlas of human differential gene expression. (In Preparation).
Depends: R (>= 3.5.0)
Imports: ActivePathways, pbapply, dplyr, ggplot2, glmnet, utils, stats, ggrepel, downloader
License: GPL-3
URL:
Encoding: UTF-8
LazyData: true
Packaged: 2022-06-24 18:57:18 UTC; djsok
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Author: Dustin Sokolowski [aut, cre], Jedid Ahn [aut], Lauren Erdman [aut], Huayun Hou [aut], Anna Goldenberg [aut], Michael Wilson [aut]
Repository: CRAN
Date/Publication: 2022-06-27 07:30:11 UTC

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New package acdcR with initial version 1.0.0
Package: acdcR
Title: Agro-Climatic Data by County
Version: 1.0.0
Date: 2022-06-14
Author: Seong D. Yun [aut, cre]
Maintainer: Seong D. Yun <seong.yun@msstate.edu>
Description: The functions are designed to calculate the most widely-used county-level variables in agricultural production or agricultural-climatic and weather analyses. To operate some functions in this package needs download of the bulk PRISM raster. See the examples, testing versions and more details from: <https://github.com/ysd2004/acdcR>.
Depends: R (>= 4.0.0), raster, data.table, stats
License: GPL (>= 2)
URL: https://github.com/ysd2004/acdcR
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-25 13:50:12 UTC; Seong Yun
Repository: CRAN
Date/Publication: 2022-06-27 07:40:05 UTC

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Sun, 26 Jun 2022

New package mined with initial version 1.0-3
Package: mined
Title: Minimum Energy Designs
Version: 1.0-3
Date: 2022-06-19
Author: Dianpeng Wang and V. Roshan Joseph
Maintainer: Dianpeng Wang <wdp@bit.edu.cn>
Description: This is a method (MinED) for mining probability distributions using deterministic sampling which is proposed by Joseph, Wang, Gu, Lv, and Tuo (2019) <DOI:10.1080/00401706.2018.1552203>. The MinED samples can be used for approximating the target distribution. They can be generated from a density function that is known only up to a proportionality constant and thus, it might find applications in Bayesian computation. Moreover, the MinED samples are generated with much fewer evaluations of the density function compared to random sampling-based methods such as MCMC and therefore, this method will be especially useful when the unnormalized posterior is expensive or time consuming to evaluate. This research is supported by a U.S. National Science Foundation grant DMS-1712642.
License: LGPL-2.1
Imports: Rcpp (>= 0.12.17)
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2022-06-19 06:37:01 UTC; dpwang
Repository: CRAN
Date/Publication: 2022-06-26 21:30:02 UTC

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Fri, 24 Jun 2022

New package RGMM with initial version 0.1.0
Package: RGMM
Title: Robust Mixture Model
Version: 0.1.0
Description: Algorithms for estimating robustly the parameters of a Gaussian, Student, or Laplace Mixture Model.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp, foreach, doParallel, mvtnorm,mclust,parallel,LaplacesDemon, genieclust, RSpectra
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2022-06-24 15:40:10 UTC; pug56
Author: Antoine Godichon-Baggioni [aut, cre, cph], Stephane Robin [aut]
Maintainer: Antoine Godichon-Baggioni <antoine.godichon_baggioni@upmc.fr>
Repository: CRAN
Date/Publication: 2022-06-24 17:00:12 UTC

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New package h0 with initial version 1.0.0
Package: h0
Version: 1.0.0
Date: 2022-6-22
Title: A Meta Analysis for Estimating the Hubble Constant via Time Delay Cosmography
Author: Hyungsuk Tak
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>
Depends: R (>= 2.2.0)
Description: We provide a toolbox to conduct a meta analysis for estimating the current expansion rate of the Universe, called the Hubble constant H0, via time delay cosmography. The input data are (i) estimates of Fermat potential differences and their one-sigma uncertainties (standard errors), and (ii) estimates of time delays and their one-sigma uncertainties. Given these inputs, the meta analysis conducts a maximum likelihood estimation or a Bayesian inference to infer the Hubble constant.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-24 14:35:53 UTC; hyungsuktak
Repository: CRAN
Date/Publication: 2022-06-24 17:00:02 UTC

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New package attention with initial version 0.1.0
Package: attention
Title: Self-Attention Algorithm
Version: 0.1.0
Description: Self-Attention algorithm helper functions and demonstration vignettes of increasing depth on how to construct the Self-Attention algorithm, this is based on Dan Jurafsky and James H. Martin (2022, ISBN:978-0131873216) <https://web.stanford.edu/~jurafsky/slp3/> "Speech and Language Processing (3rd ed.)" and Alex Graves (2020) <https://www.youtube.com/watch?v=AIiwuClvH6k> "Attention and Memory in Deep Learning".
License: GPL (>= 3)
Encoding: UTF-8
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-24 09:13:18 UTC; bquast
Author: Bastiaan Quast [aut, cre]
Maintainer: Bastiaan Quast <bquast@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-24 17:00:09 UTC

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New package visR with initial version 0.3.0
Package: visR
Title: Clinical Graphs and Tables Adhering to Graphical Principles
Version: 0.3.0
Description: To enable fit-for-purpose, reusable clinical and medical research focused visualizations and tables with sensible defaults and based on graphical principles as described in: "Vandemeulebroecke et al. (2018)" <doi:10.1002/pst.1912>, "Vandemeulebroecke et al. (2019)" <doi:10.1002/psp4.12455>, and "Morris et al. (2019)" <doi:10.1136/bmjopen-2019-030215>.
License: MIT + file LICENSE
URL: https://github.com/openpharma/visR
BugReports: https://github.com/openpharma/visR/issues
Depends: R (>= 3.5)
Imports: broom (>= 0.7.11), cowplot, dplyr (>= 1.0.0), ggplot2, gridExtra, gtable, kableExtra, rlang (>= 1.0.0), survival, tidyr (>= 1.0.0)
Suggests: covr, data.table, DT, forcats, gt (>= 0.3.0), knitr, learnr, lifecycle, rmarkdown, rsconnect, shiny, spelling, testthat (>= 2.1.0), tibble, tidycmprsk (>= 0.1.1), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-24 14:42:58 UTC; BAILLMA3
Author: Mark Baillie [aut, cre, cph], Diego Saldana [aut], Charlotta Fruechtenicht [aut], Marc Vandemeulebroecke [aut], Thanos Siadimas [aut], Pawel Kawski [aut], Steven Haesendonckx [aut], James Black [aut], Pelagia Alexandra Papadopoulou [aut], Tim Treis [ [...truncated...]
Maintainer: Mark Baillie <bailliem@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-24 16:00:02 UTC

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New package SRTsim with initial version 0.99.2
Package: SRTsim
Title: Simulator for Spatially Resolved Transcriptomics
Version: 0.99.2
Date: 2022-06-13
Maintainer: Jiaqiang Zhu <jiaqiang@umich.edu>
Description: An independent, reproducible, and flexible Spatially Resolved Transcriptomics (SRT) simulation framework that can be used to facilitate the development of SRT analytical methods for a wide variety of SRT-specific analyses. It utilizes spatial localization information to simulate SRT expression count data in a reproducible and scalable fashion. Two major simulation schemes are implemented in 'SRTsim': reference-based and reference-free.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: concaveman,sf,sp,spatstat.geom,parallel,pdist,MASS,S4Vectors,stats,Matrix,Morpho,matrixStats,plotly,shiny,viridis,shinydashboard,dashboardthemes,shinyBS, ggplot2, ggpubr, spatstat.random,magrittr
Suggests: knitr,rmarkdown,BiocStyle,RefManageR,BiocManager,sessioninfo
VignetteBuilder: knitr
Depends: R (>= 3.5.0), methods
NeedsCompilation: no
Packaged: 2022-06-23 19:13:10 UTC; jiaqiangzhu
Author: Jiaqiang Zhu [aut, ctb, cre] , Lulu Shang [aut] , Xiang Zhou [aut]
Repository: CRAN
Date/Publication: 2022-06-24 08:10:02 UTC

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New package sgsR with initial version 1.0.0
Package: sgsR
Version: 1.0.0
License: GPL (>= 3)
Title: Structurally Guided Sampling
Description: Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.
URL: https://github.com/tgoodbody/sgsR, https://tgoodbody.github.io/sgsR/
BugReports: https://github.com/tgoodbody/sgsR/issues
Depends: R (>= 3.5.0), methods
Imports: dplyr, ggplot2, sf, terra, tidyr, clhs, SamplingBigData, BalancedSampling, spatstat.geom
Suggests: knitr, rmarkdown, Rfast, testthat (>= 3.0.0), doParallel, doSNOW, snow, foreach, entropy, roxygen2, covr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-23 20:00:07 UTC; tgood
Author: Tristan RH Goodbody [aut, cre, cph] , Nicholas C Coops [aut] , Martin Queinnec [aut]
Maintainer: Tristan RH Goodbody <goodbody.t@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-24 08:20:02 UTC

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New package PFIM with initial version 5.0
Package: PFIM
Title: Population Fisher Information Matrix
Version: 5.0
Date: 2022-05-23
NeedsCompilation: no
Description: Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.
Depends: R (>= 4.0.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: methods, rmarkdown, stats, scales, deSolve, kableExtra, gtable, Deriv, grid, knitr, markdown, Matrix, ggplot2, ggbreak, pracma, Rcpp, filesstrings
VignetteBuilder: knitr
Suggests: testthat, inline, utils, devtools, htmltools
Packaged: 2022-06-23 17:09:40 UTC; ADMIN Romain LEROUX
Author: France Mentre [aut] , Herve Le Nagard [aut], Romain Leroux [aut, cre], Jeremy Seurat [aut], Tran Bach Nguyen [ctb], Caroline Bazzoli [ctb], Emmanuelle Comets [ctb], Anne Dubois [ctb], Cyrielle Dumont [ctb], Giulia Lestini [ctb], Thi Huyen Tram Nguyen [...truncated...]
Maintainer: Romain Leroux <romain.leroux@inserm.fr>
Repository: CRAN
Date/Publication: 2022-06-24 08:10:05 UTC

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New package HDStIM with initial version 0.1.0
Package: HDStIM
Title: High Dimensional Stimulation Immune Mapping ('HDStIM')
Version: 0.1.0
Description: A method for identifying responses to experimental stimulation in mass or flow cytometry that uses high dimensional analysis of measured parameters and can be performed with an end-to-end unsupervised approach. In the context of in vitro stimulation assays where high-parameter cytometry was used to monitor intracellular response markers, using cell populations annotated either through automated clustering or manual gating for a combined set of stimulated and unstimulated samples, 'HDStIM' labels cells as responding or non-responding. The package also provides auxiliary functions to rank intracellular markers based on their contribution to identifying responses and generating diagnostic plots.
License: CC0 | file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://github.com/niaid/HDStIM, https://niaid.github.io/HDStIM/
BugReports: https://github.com/niaid/HDStIM/issues
Depends: R (>= 3.6.0)
Imports: tibble, ggplot2, uwot, dplyr, tidyr, broom, tidyselect, ggridges, Boruta, scales
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr, rmarkdown
Language: en-US
NeedsCompilation: no
Packaged: 2022-06-23 18:04:20 UTC; farmerr2
Author: Rohit Farmer [aut, cre] , Richard Apps [aut] , John Tsang [aut, pdr]
Maintainer: Rohit Farmer <rohit.farmer@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-24 08:10:12 UTC

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New package provSummarizeR with initial version 1.5
Package: provSummarizeR
Title: Summarizes Provenance Related to Inputs and Outputs of a Script or Console Commands
Version: 1.5
Date: 2022-06-23
Description: Reads the provenance collected by the 'rdtLite' or 'rdt' packages, or other tools providing compatible PROV JSON output, created by the execution of a script or a console session, and provides a human-readable summary identifying the input and output files, the script used (if any), errors and warnings produced, and the environment in which it was executed. It can also optionally package all the files into a zip file. The exact format of the JSON created by 'rdtLite' and 'rdt' is described in <https://github.com/End-to-end-provenance/ExtendedProvJson>. More information about 'rdtLite' and associated tools is available at <https://github.com/End-to-end-provenance/> and Barbara Lerner, Emery Boose, and Luis Perez (2018), Using Introspection to Collect Provenance in R, Informatics, <doi: 10.3390/informatics5010012>.
Depends: R (>= 3.5)
License: GPL-3
Encoding: UTF-8
Imports: provParseR (>= 0.3)
Suggests: digest, rdtLite, rdt, testthat
Additional_repositories: https://end-to-end-provenance.github.io/drat/
URL: https://github.com/End-to-end-provenance
BugReports: https://github.com/End-to-end-provenance/provSummarizeR/issues
NeedsCompilation: no
Packaged: 2022-06-23 19:37:47 UTC; erb709
Author: Emery Boose [cre], Barbara Lerner [aut], President and Fellows of Harvard College [cph], Trustees of Mount Holyoke College [cph]
Maintainer: Emery Boose <boose@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2022-06-24 07:30:02 UTC

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New package IAPWS95 with initial version 1.2.0
Package: IAPWS95
Title: Thermophysical Properties of Water and Steam
Version: 1.2.0
Description: Functions for Water and Steam Properties based on the International Association for the Properties of Water (IAPWS) Formulation 1995 for the Thermodynamic Properties of Ordinary Water Substance for General and Scientific Use and on the releases for viscosity, conductivity, surface tension and melting pressure.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
LazyData: true
LinkingTo: Rcpp
Imports: ggplot2, pander, Rcpp
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr,rmarkdown
NeedsCompilation: yes
Packaged: 2022-06-23 12:26:40 UTC; SWay
Repository: CRAN
Date/Publication: 2022-06-24 07:10:02 UTC
Author: Benedito Baptista [aut], Shawn Way [cre]
Maintainer: Shawn Way <shawnway@yahoo.com>

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New package ggtrace with initial version 0.2.0
Package: ggtrace
Title: Trace and Highlight Groups of Data Points
Version: 0.2.0
Description: Provides 'ggplot2' geoms that allow groups of data points to be outlined or highlighted for emphasis. This is particularly useful when working with dense datasets that are prone to overplotting.
License: MIT + file LICENSE
URL: https://github.com/rnabioco/ggtrace
BugReports: https://github.com/rnabioco/ggtrace/issues
Depends: R (>= 4.0.0)
Imports: ggplot2, grid, rlang
Suggests: covr, knitr, rmarkdown, tidyr, tibble, dplyr, testthat (>= 3.0.0), vdiffr (>= 1.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
SystemRequirements: pandoc
Config/Needs/website: pkgdown, rnabioco/rbitemplate
NeedsCompilation: no
Packaged: 2022-06-23 18:38:51 UTC; rmsheridan
Author: Ryan Sheridan [aut, cre] , Rui Fu [ctb] , Jay Hesselberth [ctb] , RNA Bioscience Initiative [fnd, cph]
Maintainer: Ryan Sheridan <ryan.sheridan@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2022-06-24 07:20:02 UTC

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New package CIMTx with initial version 1.2.0
Package: CIMTx
Title: Causal Inference for Multiple Treatments with a Binary Outcome
Version: 1.2.0
Description: Different methods to conduct causal inference for multiple treatments with a binary outcome, including regression adjustment, vector matching, Bayesian additive regression trees, targeted maximum likelihood and inverse probability of treatment weighting using different generalized propensity score models such as multinomial logistic regression, generalized boosted models and super learner. For more details, see the paper by Hu et al. <doi:10.1177/0962280220921909>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Imports: nnet (>= 7.3-16), BART (>= 2.9), twang (>= 2.5), arm (>= 1.2-12), dplyr (>= 1.0.7), Matching (>= 4.9-11), magrittr (>= 2.0.1), WeightIt (>= 0.12.0), tmle (>= 1.5.0.2), tidyr (>= 1.1.4), stats, ggplot2 (>= 3.3.5), cowplot (>= 1.1.1), mgcv (>= 1.8-38), metR (>= 0.11.0), stringr (>= 1.4.0), SuperLearner (>= 2.0-28), foreach (>= 1.5.1), doParallel (>= 1.0.16)
NeedsCompilation: no
Packaged: 2022-06-23 18:37:31 UTC; jiayi
Author: Liangyuan Hu [aut], Chenyang Gu [aut], Michael Lopez [aut], Jiayi Ji [aut, cre]
Maintainer: Jiayi Ji <jjy2876@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-24 07:40:02 UTC

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Thu, 23 Jun 2022

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Wed, 22 Jun 2022

New package Sieve with initial version 1.0
Package: Sieve
Title: Nonparametric Estimation by the Method of Sieves
Version: 1.0
Date: 2022-05-27
Author: Tianyu Zhang
Maintainer: Tianyu Zhang <zty@uw.edu>
Description: Performs multivariate nonparametric regression/classification by the method of sieves (or using orthogonal series). The method is suitable for continuous/binary problems with multivariate or moderate high-dimensional features (dimension < 100). The main estimator in this package, penalized sieve estimator, is adaptive to the feature dimension with provable theoretical guarantees. Moreover, such a method is computationally tractable in the sense it typically has a polynomial dependence (rather than an exponential one) on the feature dimension and an almost linear dependence on the sample size. Details of the methods and model assumptions can be found in: Tianyu Zhang, and Noah Simon (2022) <arXiv:2206.02994>.
License: GPL-2
Imports: Rcpp (>= 1.0.7), combinat, glmnet, methods
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2022-06-21 17:45:46 UTC; tianyu
Repository: CRAN
Date/Publication: 2022-06-22 19:20:08 UTC

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New package PRECAST with initial version 1.0
Package: PRECAST
Title: Embedding and Clustering with Alignment for Spatial Datasets
Version: 1.0
Date: 2022-06-21
Author: Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut]
Maintainer: Wei Liu <wei.liu@duke-nus.edu.sg>
Description: An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2022) <doi:10.1093/nar/gkac219>.
License: GPL-3
Depends: parallel, gtools, R (>= 4.0.0)
Imports: GiRaF, MASS, Matrix, mclust, methods, purrr, utils, S4Vectors, RColorBrewer, Seurat, cowplot, scater, pbapply, patchwork, ggthemes, dplyr, ggplot2, stats, DR.SC, scales, ggrastr, Rcpp (>= 1.0.5)
LazyData: true
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-21 03:12:50 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2022-06-22 19:10:03 UTC

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New package oddsapiR with initial version 0.0.1
Package: oddsapiR
Title: Access Live Sports Odds from the Odds API
Version: 0.0.1
Description: A utility to quickly obtain clean and tidy sports odds from The Odds API <https://the-odds-api.com>.
License: MIT + file LICENSE
URL: https://oddsapiR.sportsdataverse.org/ (docs), https://github.com/sportsdataverse/oddsapiR (repo)
BugReports: https://github.com/sportsdataverse/oddsapiR/issues
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
Depends: R (>= 4.0.0)
Imports: cli (>= 1.1.0), data.table (>= 1.14.0), dplyr, glue, httr (>= 0.5), janitor, jsonlite, magrittr, rlang (>= 0.4.0), rvest (>= 1.0.0), tidyr (>= 1.0.0)
Suggests: crayon (>= 1.3.4), curl, DBI, ggplot2, ggrepel, gt, knitr, progressr (>= 0.6.0), purrr (>= 0.3.0), qs (>= 0.25.1), Rcpp (>= 1.0.7), RcppParallel (>= 5.1.4), rmarkdown, RSQLite, stats, stringi, stringr (>= 1.3.0), testthat, tibble (>= 3.0), usethis (>= 1.6.0), xml2 (>= 1.3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-21 17:40:29 UTC; sgilani
Author: Saiem Gilani [aut, cre]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-22 19:20:02 UTC

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New package fakmct with initial version 0.1.0
Package: fakmct
Title: Fuzzy Adaptive Resonance Theory K-Means Clustering Technique
Version: 0.1.0
Author: Alfi Nurrahmah [aut, cre] Budi Yuniarto [aut]
Maintainer: Alfi Nurrahmah <221810140@stis.ac.id>
Description: A set of function for clustering data observation with hybrid method Fuzzy ART and K-Means by Sengupta, Ghosh & Dan (2011) <doi:10.1080/0951192X.2011.602362>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: <https://github.com/alfinurrahmah/fakmct>
Imports: stats
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2022-06-21 08:50:03 UTC; ALFI
Repository: CRAN
Date/Publication: 2022-06-22 19:20:05 UTC

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New package censored with initial version 0.1.0
Package: censored
Title: 'parsnip' Engines for Survival Models
Version: 0.1.0
Description: Engines for survival models from the 'parsnip' package. These include parametric models (e.g., Jackson (2016) <doi:10.18637/jss.v070.i08>), semi-parametric (e.g., Simon et al (2011) <doi:10.18637/jss.v039.i05>), and tree-based models (e.g., Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>).
License: MIT + file LICENSE
URL: https://github.com/tidymodels/censored
BugReports: https://github.com/tidymodels/censored/issues
Depends: parsnip (>= 1.0.0), R (>= 3.5.0), survival (>= 3.3-1)
Imports: dials, dplyr (>= 0.8.0.1), generics, glue, hardhat (>= 1.1.0), mboost, prettyunits, purrr, rlang (>= 1.0.0), stats, tibble (>= 3.1.3), tidyr (>= 1.0.0)
Suggests: coin, covr, flexsurv (>= 2.2), glmnet (>= 4.1), ipred, partykit, pec, rmarkdown, rpart, testthat (>= 3.0.0)
Config/Needs/website: tidymodels, tidymodels/parsnip, tidyverse/tidytemplate
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-21 20:04:37 UTC; hannah
Author: Emil Hvitfeldt [aut] , Hannah Frick [aut, cre] , RStudio [cph, fnd]
Maintainer: Hannah Frick <hannah@rstudio.com>
Repository: CRAN
Date/Publication: 2022-06-22 19:30:02 UTC

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New package MasterBayes with initial version 2.58
Package: MasterBayes
Title: ML and MCMC Methods for Pedigree Reconstruction and Analysis
Version: 2.58
Depends: coda, genetics, gtools, kinship2
Imports: methods, stats
Date: 2022-06-22
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield@ed.ac.uk>
Description: The primary aim of 'MasterBayes' is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled 'C++' for efficiency.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-06-22 11:50:01 UTC; jhadfiel
Repository: CRAN
Date/Publication: 2022-06-22 13:00:10 UTC

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New package Clustering with initial version 1.7.7
Package: Clustering
Title: Techniques for Evaluating Clustering
Version: 1.7.7
Date: 2022-06-06
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.
URL: https://github.com/laperez/clustering
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
Imports: amap, apcluster, cluster, ClusterR, data.table, doParallel, dplyr, foreach, future, ggplot2, gmp, methods, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable, toOrdinal
Suggests: DT, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders
NeedsCompilation: no
Packaged: 2022-06-14 19:05:39 UTC; luis
Date/Publication: 2022-06-22 09:40:12 UTC

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New package bapred with initial version 1.1
Package: bapred
Title: Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data)
Version: 1.1
Date: 2022-06-21
Author: Roman Hornung, David Causeur
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Depends: R (>= 3.1.0), glmnet, lme4, MASS, sva, affyPLM
Imports: FNN, fuzzyRankTests, methods, mnormt, affy, Biobase
Suggests: ArrayExpress
Description: Various tools dealing with batch effects, in particular enabling the removal of discrepancies between training and test sets in prediction scenarios. Moreover, addon quantile normalization and addon RMA normalization (Kostka & Spang, 2008) is implemented to enable integrating the quantile normalization step into prediction rules. The following batch effect removal methods are implemented: FAbatch, ComBat, (f)SVA, mean-centering, standardization, Ratio-A and Ratio-G. For each of these we provide an additional function which enables a posteriori ('addon') batch effect removal in independent batches ('test data'). Here, the (already batch effect adjusted) training data is not altered. For evaluating the success of batch effect adjustment several metrics are provided. Moreover, the package implements a plot for the visualization of batch effects using principal component analysis. The main functions of the package for batch effect adjustment are ba() and baaddon() which enable batch effect removal and addon batch effect removal, respectively, with one of the seven methods mentioned above. Another important function here is bametric() which is a wrapper function for all implemented methods for evaluating the success of batch effect removal. For (addon) quantile normalization and (addon) RMA normalization the functions qunormtrain(), qunormaddon(), rmatrain() and rmaaddon() can be used.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-21 17:44:28 UTC; hornung
Repository: CRAN
Date/Publication: 2022-06-22 08:20:13 UTC

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New package splutil with initial version 2022.6.20
Package: splutil
Title: Utility Functions for Common Base-R Problems Relating to Lists
Version: 2022.6.20
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://docs.sykdomspulsen.no/splutil/, https://github.com/sykdomspulsen-org/splutil
BugReports: https://github.com/sykdomspulsen-org/splutil/issues
Encoding: UTF-8
Imports: data.table, magrittr, ggplot2
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-20 05:36:21 UTC; RIWH
Author: Richard Aubrey White [aut, cre] , Folkehelseinstituttet [cph]
Maintainer: Richard Aubrey White <sykdomspulsen@fhi.no>
Repository: CRAN
Date/Publication: 2022-06-22 07:10:02 UTC

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New package sjtable2df with initial version 0.0.2
Package: sjtable2df
Title: Convert 'sjPlot' HTML-Tables to R 'data.frame'
Version: 0.0.2
Description: A small set of helper functions to convert 'sjPlot' HTML-tables to R data.frame objects / knitr::kable-tables.
License: GPL (>= 3)
URL: https://github.com/kapsner/sjtable2df
BugReports: https://github.com/kapsner/sjtable2df/issues
Depends: R (>= 2.10)
Imports: data.table, kableExtra, magrittr, rlang, rvest, xml2
Suggests: knitr, lintr, lme4, mlbench, rmarkdown, sjPlot, stats, testthat (>= 3.0.1)
VignetteBuilder: knitr
Date/Publication: 2022-06-22 07:50:02 UTC
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-20 17:28:01 UTC; user
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>
Repository: CRAN

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New package roads with initial version 1.0.0
Package: roads
Title: Road Network Projection
Version: 1.0.0
Date: 2023-03-11
URL: https://github.com/LandSciTech/roads, https://landscitech.github.io/roads/
Description: Project road network development based on an existing road network, target locations to be connected by roads and a cost surface. Road projection methods include minimum spanning tree with least cost path (Kruskal’s algorithm (1956) <doi:10.2307/2033241>), least cost path (Dijkstra's algorithm (1959) <doi:10.1007/BF01386390>) or snapping. These road network projection methods are ideal for use with land cover change projection models.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Imports: raster, dplyr, igraph, sp, data.table, SpaDES.tools, sf, stars, units, rlang, methods, tidyselect
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, viridis
VignetteBuilder: knitr
Depends: R (>= 2.10)
BugReports: https://github.com/LandSciTech/roads/issues
NeedsCompilation: no
Packaged: 2022-06-20 16:30:48 UTC; HughesJo
Author: Sarah Endicott [aut] , Kyle Lochhead [aut], Josie Hughes [aut, cre], Patrick Kirby [aut], Her Majesty the Queen in Right of Canada as represented by the Minister of the Environment [cph] , Province of British Columbia [cph]
Maintainer: Josie Hughes <josie.hughes@ec.gc.ca>
Repository: CRAN
Date/Publication: 2022-06-22 07:40:07 UTC

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New package qmvs with initial version 0.1.1
Package: qmvs
Version: 0.1.1
Title: Queueing Model of Visual Search
Author: Martin Schlather [aut, cre], Yiqi Li [aut, cre]
Description: The queueing model of visual search models the accuracy and response time data in a visual search experiment using queueing models with finite customer population and stopping criteria of completing the service for finite number of customers. It implements the conceptualization of a hybrid model proposed by Moore and Wolfe (2001), in which visual stimuli enter the processing one after the other and then are identified in parallel. This package provides functions that simulate the specified queueing process and calculate the Wasserstein distance between the empirical response times and the model prediction.
Maintainer: Martin Schlather <martin.schlather@uni-mannheim.de>
Imports: stats
Depends: R (>= 3.0)
Suggests:
License: GPL (>= 3)
NeedsCompilation: yes
URL: https://www.wim.uni-mannheim.de/schlather
Packaged: 2022-06-20 12:16:32 UTC; schlather
Repository: CRAN
Date/Publication: 2022-06-22 07:20:02 UTC

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New package OpenTreeChronograms with initial version 2022.1.28
Package: OpenTreeChronograms
Title: Open Tree of Life Chronograms
Version: 2022.1.28
Maintainer: Luna L. Sanchez Reyes <sanchez.reyes.luna@gmail.com>
Description: Chronogram database constructed from Open Tree of Life's phylogenetic store.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 2.10)
Imports: ape, geiger, knitcitations, paleotree, plyr, rotl, stringr, taxize, treebase, usethis
NeedsCompilation: no
Packaged: 2022-06-20 08:38:00 UTC; luna
Author: Brian O'Meara [aut], Luna L. Sanchez Reyes [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-22 07:10:10 UTC

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New package NasdaqDataLink with initial version 1.0.0
Package: NasdaqDataLink
Title: API Wrapper for Nasdaq Data Link
Version: 1.0.0
Date: 2022-06-17
Maintainer: Jamie Couture <jamie.couture@nasdaq.com>
Description: Functions for interacting directly with the Nasdaq Data Link API to offer data in a number of formats usable in R, downloading a zip with all data from a Nasdaq Data Link database, and the ability to search. This R package uses the Nasdaq Data Link API. For more information go to <https://docs.data.nasdaq.com/>. For more help on the package itself go to <https://data.nasdaq.com/tools/r>.
Imports: httr (>= 0.6.1), zoo, jsonlite (>= 0.9.14), methods
Suggests: testthat (>= 0.10.0), roxygen2, timeSeries
Depends: R (>= 3.5.0), xts
License: MIT + file LICENSE
URL: https://github.com/nasdaq/data-link-r
BugReports: https://github.com/nasdaq/data-link-r/issues
NeedsCompilation: no
Packaged: 2022-06-20 18:11:33 UTC; erivau
Author: Jamie Couture [cre], Eric Vautour [aut], Nasdaq Data Link. [cph]
Repository: CRAN
Date/Publication: 2022-06-22 07:50:05 UTC

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New package multiActionButton with initial version 1.0.0
Package: multiActionButton
Title: Multi Action Button for 'Shiny' Applications
Version: 1.0.0
Description: Provides a multi action button for usage in 'shiny' applications.
License: GPL-3
URL: https://github.com/stla/multiActionButton
BugReports: https://github.com/stla/multiActionButton/issues
Imports: htmltools, shiny
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-20 11:25:35 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Sergey Pimenov [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2022-06-22 07:20:05 UTC

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New package mpwR with initial version 0.1.0
Package: mpwR
Title: Standardized Comparison of Workflows in Mass Spectrometry-Based Bottom-Up Proteomics
Version: 0.1.0
Description: Useful functions to analyze proteomic workflows including number of identifications, data completeness, missed cleavages, quantitative and retention time precision etc. Various software outputs are supported such as 'ProteomeDiscoverer', 'Spectronaut', 'DIA-NN' and 'MaxQuant'.
License: MIT + file LICENSE
Imports: comprehenr, data.table, dplyr, flowTraceR, forcats, ggplot2, magrittr, plotly, purrr, stats, stringr, tibble, tidyr, UpSetR
Suggests: flextable, knitr, rmarkdown, testthat (>= 3.0.0), utils
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-20 13:38:36 UTC; Olive
Author: Oliver Kardell [aut, cre]
Maintainer: Oliver Kardell <Okdll@gmx.net>
Repository: CRAN
Date/Publication: 2022-06-22 07:30:02 UTC

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New package jacobi with initial version 1.0.0
Package: jacobi
Title: Jacobi Theta Functions and Related Functions
Version: 1.0.0
Description: Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, and Eisenstein series. Complex values of the variable are supported.
License: GPL-3
URL: https://github.com/stla/jacobi
BugReports: https://github.com/stla/jacobi/issues
Imports: Carlson, Rcpp (>= 1.0.8)
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-20 10:31:33 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Mikael Fremling [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2022-06-22 07:20:08 UTC

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New package GeneralizedWendland with initial version 0.5-2
Package: GeneralizedWendland
Title: Fully Parameterized Generalized Wendland Covariance Function
Version: 0.5-2
Date: 2022-06-20
Maintainer: Thomas C. Fischer <thomascasparfischer@gmail.com>
Depends: R (>= 3.1)
SystemRequirements: gsl (>= 2.7)
Imports: methods, stats, utils, Matrix, Rcpp, spam, spam64, parallel, optimParallel, fields
LinkingTo: Rcpp, RcppEigen, BH, Matrix
Suggests: knitr, R.rsp, testthat (>= 3.0.0), mvtnorm, ggplot2, gridExtra, dplyr, microbenchmark
Description: A fully parameterized Generalized Wendland covariance function for use in Gaussian process models, as well as multiple methods for approximating it via covariance interpolation. The available methods are linear interpolation, polynomial interpolation, and cubic spline interpolation. Moreno Bevilacqua and Reinhard Furrer and Tarik Faouzi and Emilio Porcu (2019) <url:<https://projecteuclid.org/journalArticle/Download?urlId=10.1214%2F17-AOS1652 >>. Moreno Bevilacqua and Christian Caamaño-Carrillo and Emilio Porcu (2022) <arXiv:2008.02904>. Reinhard Furrer and Roman Flury and Florian Gerber (2022) <url:<https://CRAN.R-project.org/package=spam >>.
RcppModules: Wendland
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: R.rsp, knitr
NeedsCompilation: yes
Packaged: 2022-06-20 09:31:54 UTC; thomas
Author: Thomas C. Fischer [aut, cre], Reinhard Furrer [aut, ths], Josef Stocker [aut]
Repository: CRAN
Date/Publication: 2022-06-22 07:10:13 UTC

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New package espadon with initial version 1.0.4
Package: espadon
Title: Easy Study of Patient DICOM Data in Oncology
Version: 1.0.4
Description: Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.
License: GPL-3
URL: https://espadon.cnrs.fr
Encoding: UTF-8
Imports: colorspace, DT, graphics, grDevices, igraph, js, mathjaxr, Matrix, methods, misc3d, openxlsx, progress, qs, Rcpp (>= 1.0.7), Rdpack, rgl (>= 0.107.14), Rvcg, shiny, shinyWidgets, sp, stats
LinkingTo: Rcpp
Depends: R (>= 4.0.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-20 14:42:06 UTC; cfontbonne
Author: Cathy Fontbonne [aut, cre] , Jean-Marc Fontbonne [aut] , Nathan Azemar [ctb]
Maintainer: Cathy Fontbonne <contact.espadon@lpccaen.in2p3.fr>
Repository: CRAN
Date/Publication: 2022-06-22 07:40:14 UTC

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New package edibble with initial version 0.1.0
Package: edibble
Title: Designing Comparative Experiments
Version: 0.1.0
Description: A system to facilitate designing comparative experiments using the grammar of experimental designs <https://emitanaka.org/edibble-book/>. An experimental design is treated as an intermediate, mutable object that is built progressively by fundamental experimental components like units, treatments, and their relation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://edibble.emitanaka.org/, https://github.com/emitanaka/edibble
BugReports: https://github.com/emitanaka/edibble/issues
Imports: magrittr, rlang, vctrs, tibble, cli, pillar, tidyselect (>= 1.0.0), nestr, stats, AlgDesign, dae, R6
Suggests: testthat (>= 3.0.0), rmarkdown, openxlsx, visNetwork
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-06-20 08:40:17 UTC; emi
Author: Emi Tanaka [aut, cre, cph]
Maintainer: Emi Tanaka <dr.emi.tanaka@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-22 07:10:05 UTC

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Tue, 21 Jun 2022

New package kssa with initial version 0.0.1
Package: kssa
Title: Known Sub-Sequence Algorithm
Version: 0.0.1
Maintainer: Ivan Felipe Benavides <pipeben@gmail.com>
Description: Implements the Known Sub-Sequence Algorithm <doi:10.1016/j.aaf.2021.12.013>, which helps to automatically identify and validate the best method for missing data imputation in a time series. Supports the comparison of multiple state-of-the-art algorithms.
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/pipeben/kssa
BugReports: https://github.com/pipeben/kssa/issues
Depends: R (>= 4.0)
Suggests: covr, testthat (>= 3.0.0)
Imports: magrittr, ggplot2, rlang, methods, forecast, imputeTS, stats, zoo, Metrics, dplyr, missMethods
Date: 2022-06-18
NeedsCompilation: no
Packaged: 2022-06-18 20:12:46 UTC; Steve
Author: Ivan Felipe Benavides [aut, cre, cph] , Steffen Moritz [aut] , Brayan-David Aroca-Gonzalez [aut] , Jhoana Romero [aut] , Marlon Santacruz [aut] , John-Josephraj Selvaraj [aut]
Repository: CRAN
Date/Publication: 2022-06-21 19:40:02 UTC

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New package crimedata with initial version 0.3.1
Package: crimedata
Title: Access Crime Data from the Open Crime Database
Version: 0.3.1
Description: Gives convenient access to publicly available police-recorded open crime data from large cities in the United States that are included in the Crime Open Database <https://osf.io/zyaqn/>.
Depends: R (>= 3.2.0)
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr, knitr, rmarkdown
Imports: digest, dplyr, httr, purrr, rlang, sf, stringr
URL: http://pkgs.lesscrime.info/crimedata/, https://github.com/mpjashby/crimedata
BugReports: https://github.com/mpjashby/crimedata/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-18 22:18:45 UTC; mattashby
Author: Matthew Ashby [aut, cre, cph]
Maintainer: Matthew Ashby <matthew.ashby@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2022-06-21 19:50:02 UTC

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New package HUM with initial version 2.0
Package: HUM
Title: Compute HUM Value and Visualize ROC Curves
Version: 2.0
Date: 2022-06-18
Author: Natalia Novoselova,Junxi Wang,Jialiang Li, Frank Pessler,Frank Klawonn
Maintainer: Natalia Novoselova <novos65@mail.ru>
Description: Tools for computing HUM (Hypervolume Under the Manifold) value to estimate features ability to discriminate the class labels, visualizing the ROC curve for two or three class labels (Natalia Novoselova, Cristina Della Beffa, Junxi Wang, Jialiang Li, Frank Pessler, Frank Klawonn (2014) <doi:10.1093/bioinformatics/btu086>).
License: GPL (>= 3)
Imports: rgl
Depends: R (>= 2.13.0),gtools,Rcpp (>= 0.12.1)
LinkingTo: Rcpp
LazyLoad: yes
URL: https://public.ostfalia.de/~klawonn/HUM.htm
Packaged: 2022-06-21 13:11:44 UTC; novosel
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2022-06-21 13:40:02 UTC

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New package NeuralSens with initial version 1.0.1
Package: NeuralSens
Version: 1.0.1
Title: Sensitivity Analysis of Neural Networks
Date: 2022-06-13
Description: Analysis functions to quantify inputs importance in neural network models. Functions are available for calculating and plotting the inputs importance and obtaining the activation function of each neuron layer and its derivatives. The importance of a given input is defined as the distribution of the derivatives of the output with respect to that input in each training data point <doi:10.18637/jss.v102.i07>.
Author: Jose Portela Gonzalez [aut], Antonio Munoz San Roque [aut], Jaime Pizarroso Gonzalo [aut, ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@comillas.edu>
Imports: ggplot2, gridExtra, NeuralNetTools, reshape2, caret, fastDummies, stringr, Hmisc, ggforce, scales, ggnewscale, magrittr
Suggests: h2o, RSNNS, nnet, neuralnet, plotly, e1071
NeedsCompilation: no
URL: https://github.com/JaiPizGon/NeuralSens
BugReports: https://github.com/JaiPizGon/NeuralSens/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Packaged: 2022-06-19 22:02:23 UTC; jaime
Repository: CRAN
Date/Publication: 2022-06-21 11:30:08 UTC

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New package EHR with initial version 0.4-8
Package: EHR
Version: 0.4-8
Date: 2022-06-15
Title: Electronic Health Record (EHR) Data Processing and Analysis Tool
Maintainer: Leena Choi <leena.choi@vanderbilt.edu>
Description: Process and analyze electronic health record (EHR) data. The 'EHR' package provides modules to perform diverse medication-related studies using data from EHR databases. Especially, the package includes modules to perform pharmacokinetic/pharmacodynamic (PK/PD) analyses using EHRs, as outlined in Choi, Beck, McNeer, Weeks, Williams, James, Niu, Abou-Khalil, Birdwell, Roden, Stein, Bejan, Denny, and Van Driest (2020) <doi:10.1002/cpt.1787>. Additional modules will be added in future. In addition, this package provides various functions useful to perform Phenome Wide Association Study (PheWAS) to explore associations between drug exposure and phenotypes obtained from EHR data, as outlined in Choi, Carroll, Beck, Mosley, Roden, Denny, and Van Driest (2018) <doi:10.1093/bioinformatics/bty306>.
Depends: R (>= 2.10)
License: GPL (>= 3)
URL: https://choileena.github.io/
Imports: stats, utils, data.table, methods, lubridate, pkdata
Suggests: glmnet, logistf, medExtractR, knitr, rmarkdown, ggplot2, markdown
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2022-06-15 21:12:47 UTC; beckca
Author: Leena Choi [aut, cre] , Cole Beck [aut] , Hannah Weeks [aut] , Elizabeth McNeer [aut], Nathan James [aut] , Michael Williams [aut]
Repository: CRAN
Date/Publication: 2022-06-21 11:20:02 UTC

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New package tablecompare with initial version 0.1.0
Package: tablecompare
Title: Compare Data Frames
Version: 0.1.0
Description: A toolbox for comparing two data frames with the aim of quick and simple functionality. Using a key-column common to both tables, see which rows are common and highlight differing values by column. Also included are functions validating keys and uniqueness of in-group values.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glue, magrittr, rlang (>= 0.4.3), tidyselect (>= 0.4.3), purrr
Suggests: testthat (>= 3.0.0)
URL: https://github.com/eutwt/tablecompare
BugReports: https://github.com/eutwt/tablecompare/issues
Depends: data.table (>= 1.14.2)
NeedsCompilation: no
Packaged: 2022-06-18 20:08:24 UTC; mbp
Author: Ryan Dickerson [aut, cre]
Maintainer: Ryan Dickerson <fresh.tent5866@fastmail.com>
Repository: CRAN
Date/Publication: 2022-06-21 10:40:02 UTC

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New package r2redux with initial version 1.0.9
Package: r2redux
Title: R2 Statistic
Version: 1.0.9
Description: R2 statistic for significance test. Variance and covariance of R2 values used to assess the 95% CI and p-value of the R2 difference.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Depends: R (>= 2.10)
LazyData: true
Packaged: 2022-06-18 13:29:33 UTC; alh-admmdm
Author: Hong Lee [aut, cph], Moksedul Momin [aut, cre, cph]
Maintainer: Moksedul Momin <cvasu.momin@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-21 10:20:01 UTC

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New package MIMSunit with initial version 0.11.2
Package: MIMSunit
Title: Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)
Version: 0.11.2
Date: 2022-06-20
Description: The MIMS-unit algorithm is developed to compute Monitor Independent Movement Summary Unit, a measurement to summarize raw accelerometer data while ensuring harmonized results across different devices. It also includes scripts to reproduce results in the related publication (John, D., Tang. Q., Albinali, F. and Intille, S. (2019) <doi:10.1123/jmpb.2018-0068>).
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 3.6.0)
Encoding: UTF-8
LazyData: true
URL: https://mhealthgroup.github.io/MIMSunit/, https://github.com/mhealthgroup/MIMSunit/tree/master
BugReports: https://github.com/mhealthgroup/MIMSunit/issues/
Imports: caTools (>= 1.17.1.1), tibble (>= 3.0.4), dplyr (>= 0.7.7), lubridate (>= 1.7.4), magrittr (>= 1.5), plyr (>= 1.8.4), readr (>= 1.1.1), R.utils (>= 2.7.0), stringr (>= 1.3.1), xts (>= 0.11-2), signal (>= 0.7-7), dygraphs (>= 1.1.1.6), shiny (>= 1.4.0.2), RColorBrewer (>= 1.1-2), utils (>= 3.6.1), ggplot2 (>= 3.2.1)
Suggests: testthat, pkgdown, gridExtra, remotes
SystemRequirements: memory (>= 4GB) Ubuntu: build-essential, libxml2-dev, libssl-dev, libcurl4-openssl-dev Windows: Rtools (>= 3.5)
NeedsCompilation: no
Packaged: 2022-06-20 09:59:06 UTC; tangqu
Author: Qu Tang [aut, cre] , Dinesh John [aut], Stephen Intille [aut], mHealth Research Group [cph]
Maintainer: Qu Tang <tang.q@northeastern.edu>
Repository: CRAN
Date/Publication: 2022-06-21 11:00:09 UTC

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New package ipsfs with initial version 1.0.0
Package: ipsfs
Title: Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity Measure
Version: 1.0.0
Date: 2022-06-16
Author: Rama Ranjan Panda and Naresh Kumar Nagwani
Maintainer: Rama Ranjan Panda<rrpanda.phd2018.cs@nitrr.ac.in>
Description: Advanced fuzzy logic based techniques are implemented to compute the similarity among different objects or items. Typically, application areas consist of transforming raw data into the corresponding advanced fuzzy logic representation and determining the similarity between two objects using advanced fuzzy similarity techniques in various fields of research, such as text classification, pattern recognition, software projects, decision-making, medical diagnosis, and market prediction. Functions are designed to compute the membership, non-membership, hesitant-membership, indeterminacy-membership, and refusal-membership for the input matrices. Furthermore, it also includes a large number of advanced fuzzy logic based similarity measure functions to compute the Intuitionistic fuzzy similarity (IFS), Pythagorean fuzzy similarity (PFS), and Spherical fuzzy similarity (SFS) between two objects or items based on their fuzzy relationships. It also includes working examples for each function with sample data sets.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-18 05:42:14 UTC; user
Repository: CRAN
Date/Publication: 2022-06-21 10:10:02 UTC

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New package datelife with initial version 0.6.5
Package: datelife
Title: Scientific Data on Time of Lineage Divergence for Your Taxa
Version: 0.6.5
Maintainer: Luna L. Sanchez Reyes <sanchez.reyes.luna@gmail.com>
Description: Methods and workflows to get chronograms (i.e., phylogenetic trees with branch lengths proportional to time), using open, peer-reviewed, state-of-the-art scientific data on time of lineage divergence. This package constitutes the main underlying code of the DateLife web service at <www.datelife.org>. To obtain a single summary chronogram from a group of relevant chronograms, we implement the Super Distance Matrix (SDM) method described in Criscuolo et al. (2006) <doi:10.1080/10635150600969872>. To find the grove of chronograms with a sufficiently overlapping set of taxa for summarizing, we implement theorem 1.1. from Ané et al. (2009) <doi:10.1007/s00026-009-0017-x>. A given phylogenetic tree can be dated using time of lineage divergence data as secondary calibrations (with caution, see Schenk (2016) <doi:10.1371/journal.pone.0148228>). To obtain and apply secondary calibrations, the package implements the congruification method described in Eastman et al. (2013) <doi:10.1111/2041-210X.12051>. Tree dating can be performed with different methods including BLADJ (Webb et al. (2008) <doi:10.1093/bioinformatics/btn358>), PATHd8 (Britton et al. (2007) <doi:10.1080/10635150701613783>), mrBayes (Huelsenbeck and Ronquist (2001) <doi:10.1093/bioinformatics/17.8.754>), and treePL (Smith and O'Meara (2012) <doi:10.1093/bioinformatics/bts492>).
Depends: R (>= 3.6.0)
Imports: ape, abind, bold, phangorn, phytools, ips, cluster, compare, geiger, stats, stringr, rotl, paleotree, knitcitations, phylobase, taxize, treebase, utils, httr, plyr, phylocomr, BiocManager, data.table
Suggests: testthat, knitr, rmarkdown, usethis, devtools, covr, msa, Biostrings
LazyDataCompression: xz
SystemRequirements: PATHd8
URL: https://github.com/phylotastic/datelife, http://phylotastic.org/datelife/
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-20 08:37:04 UTC; luna
Author: Brian O'Meara [aut], Jonathan Eastman [aut], Tracy Heath [aut], April Wright [aut], Klaus Schliep [aut], Scott Chamberlain [aut], Peter Midford [aut], Luke Harmon [aut], Joseph Brown [aut], Matt Pennell [aut], Mike Alfaro [aut], Luna L. Sanchez Reyes [...truncated...]
Repository: CRAN
Date/Publication: 2022-06-21 11:00:02 UTC

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New package batchmix with initial version 1.0.1
Package: batchmix
Title: Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction
License: GPL-3
Version: 1.0.1
Description: Semi-supervised and unsupervised Bayesian mixture models that simultaneously infer the cluster/class structure and a batch correction. Densities available are the multivariate normal and the multivariate t. The model sampler is implemented in C++. This package is aimed at analysis of low-dimensional data generated across several batches. See Coleman et al. (2022) <doi:10.1101/2022.01.14.476352> for details of the model.
Imports: Rcpp (>= 1.0.5), tidyr, ggplot2
LinkingTo: Rcpp, RcppArmadillo, testthat
Suggests: xml2, knitr, rmarkdown
SystemRequirements: GNU make
Encoding: UTF-8
URL: https://github.com/stcolema/batchmix
BugReports: https://github.com/stcolema/batchmix/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2022-06-18 17:44:45 UTC; stephen
Author: Stephen Coleman [aut, cre], Paul Kirk [aut], Chris Wallace [aut]
Maintainer: Stephen Coleman <stephen.coleman@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2022-06-21 10:30:02 UTC

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New package phacking with initial version 0.0.1
Package: phacking
Title: Sensitivity Analysis for p-Hacking in Meta-Analyses
Version: 0.0.1
Description: Fits right-truncated meta-analysis (RTMA), a bias correction for the joint effects of p-hacking (i.e., manipulation of results within studies to obtain significant, positive estimates) and traditional publication bias (i.e., the selective publication of studies with significant, positive results) in meta-analyses [see Mathur MB (2022). "Sensitivity analysis for p-hacking in meta-analyses." <doi:10.31219/osf.io/ezjsx>.]. Unlike publication bias alone, p-hacking that favors significant, positive results (termed "affirmative") can distort the distribution of affirmative results. To bias-correct results from affirmative studies would require strong assumptions on the exact nature of p-hacking. In contrast, joint p-hacking and publication bias do not distort the distribution of published nonaffirmative results when there is stringent p-hacking (e.g., investigators who hack always eventually obtain an affirmative result) or when there is stringent publication bias (e.g., nonaffirmative results from hacked studies are never published). This means that any published nonaffirmative results are from unhacked studies. Under these assumptions, RTMA involves analyzing only the published nonaffirmative results to essentially impute the full underlying distribution of all results prior to selection due to p-hacking and/or publication bias. The package also provides diagnostic plots described in Mathur (2022).
License: MIT + file LICENSE
URL: https://github.com/mikabr/phacking
BugReports: https://github.com/mikabr/phacking/issues
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: dplyr, ggplot2, methods, purrr, rlang, stats, stats4, truncnorm, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), Rdpack, rstan (>= 2.18.1), rstantools (>= 2.2.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2022-06-17 20:18:49 UTC; mbraginsky
Author: Mika Braginsky [aut, cre], Maya Mathur [aut]
Maintainer: Mika Braginsky <mika.br@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-21 09:40:02 UTC

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New package MissingPlotLSD with initial version 0.1.0
Package: MissingPlotLSD
Title: Missing Plot in LSD
Version: 0.1.0
Description: A system for Analysis of LSD when there is one missing observation. Methods for this process is described in A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-17 15:18:24 UTC; USER
Author: Debarghya Baul [aut, cre], Arnab Roy [aut]
Maintainer: Debarghya Baul <debarghyabaul@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-21 09:40:08 UTC

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New package interplex with initial version 0.1.0
Package: interplex
Title: Coercion Methods for Simplicial Complex Data Structures
Version: 0.1.0
Description: Computational topology, which includes topological data analysis (TDA), makes pervasive use of abstract mathematical objects called simplicial complexes; see Edelsbrunner and Harer (2010) <doi:10.1090/mbk/069>. Several R packages and other software libraries used through an R interface construct and use data structures that represent simplicial complexes, including mathematical graphs viewed as 1-dimensional complexes. This package provides coercers (converters) between these data structures. Currently supported structures are complete lists of simplices as used by 'TDA'; the simplex trees of Boissonnat and Maria (2014) <doi:10.1007/s00453-014-9887-3> as implemented in 'simplextree' and in Python GUDHI (by way of 'reticulate'); and the graph classes of 'igraph' and 'network', by way of the 'intergraph' package.
Suggests: TDA, simplextree (>= 0.9.1), igraph (>= 0.6-0), network (>= 1.4-2), intergraph, reticulate, roxygen2, rmarkdown, testthat
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/corybrunson/interplex
BugReports: https://github.com/corybrunson/interplex/issues
NeedsCompilation: no
Packaged: 2022-06-17 19:51:46 UTC; jason.brunson
Author: Jason Cory Brunson [aut, cre] , Yara Skaf [ctb]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-21 09:40:05 UTC

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New package xportr with initial version 0.1.0
Package: xportr
Title: Utilities to Output CDISC SDTM/ADaM XPT Files
Version: 0.1.0
Description: Tools to build CDISC compliant data sets and check for CDISC compliance.
URL: https://github.com/atorus-research/xportr
BugReports: https://github.com/atorus-research/xportr/issues
Imports: dplyr (>= 1.0.2), purrr (>= 0.3.4), stringr (>= 1.4.0), magrittr, glue (>= 1.4.2), rlang (>= 0.4.10), cli, tidyselect, readr, janitor, tm, haven (>= 2.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), withr, knitr, rmarkdown, readxl, DT, labelled, admiral, devtools, spelling, usethis, lintr, styler
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-17 15:02:18 UTC; eli.miller
Author: Eli Miller [aut, cre] , Vignesh Thanikachalam [aut], Ben Straub [aut], Ross Didenko [aut], Atorus/GSK JPT [cph]
Maintainer: Eli Miller <Eli.Miller@AtorusResearch.com>
Repository: CRAN
Date/Publication: 2022-06-21 09:00:02 UTC

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New package HDOMDesign with initial version 1.0-1
Package: HDOMDesign
Version: 1.0-1
Title: High-Dimensional Orthogonal Maximin Distance Designs
Description: Contains functions to construct high-dimensional orthogonal maximin distance designs in two, four, eight, and sixteen levels from rotating the Kronecker product of sub-Hadamard matrices.
License: LGPL-2.1
Author: Xu He [aut, cre], Fasheng Sun [aut]
Maintainer: Xu He <hexu@amss.ac.cn>
Depends: HadamardR
NeedsCompilation: yes
Packaged: 2022-06-17 13:59:51 UTC; Mario
Repository: CRAN
Date/Publication: 2022-06-21 08:50:05 UTC

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New package depcache with initial version 0.1-2
Package: depcache
Title: Cache R Expressions, Taking Their Dependencies into Account
Imports: codetools, methods
Version: 0.1-2
Description: Hash an expression with its dependencies and store its value, reloading it from a file as long as both the expression and its dependencies stay the same.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2022-06-17 14:13:14 UTC; ivan
Author: Ivan Krylov [aut, cre]
Maintainer: Ivan Krylov <krylov.r00t@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-21 08:50:03 UTC

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Mon, 20 Jun 2022

New package RCTS with initial version 0.2.2
Package: RCTS
Title: Clustering Time Series While Resisting Outliers
Version: 0.2.2
Description: Robust Clustering of Time Series (RCTS) has the functionality to cluster time series using both the classical and the robust interactive fixed effects framework. The classical framework is developed in Ando & Bai (2017) <doi:10.1080/01621459.2016.1195743>. The implementation within this package excludes the SCAD-penalty on the estimations of beta. This robust framework is developed in Boudt & Heyndels (2022) <doi:10.1016/j.ecosta.2022.01.002> and is made robust against different kinds of outliers. The algorithm iteratively updates beta (the coefficients of the observable variables), group membership, and the latent factors (which can be common and/or group-specific) along with their loadings. The number of groups and factors can be estimated if they are unknown.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats, magrittr, dplyr, purrr, stringr, tidyr, tibble, ggplot2, ncvreg, robustbase, cellWise, rlang, Rdpack
Suggests: tsqn, doParallel, doSNOW, foreach, mclust, Matrix
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2022-06-17 11:35:21 UTC; hewoud
Author: Ewoud Heyndels [aut, cre]
Maintainer: Ewoud Heyndels <ewoud.heyndels@vub.be>
Repository: CRAN
Date/Publication: 2022-06-20 16:20:02 UTC

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New package MainExistingDatasets with initial version 1.0.0
Package: MainExistingDatasets
Title: Main Existing Human Datasets
Version: 1.0.0
Description: Shiny for Open Science to visualize, share, and inventory the main existing human datasets for researchers.
License: GPL-3
Depends: R (>= 2.10)
Imports: config, dplyr, DT, glue, golem, grDevices, htmltools, htmlwidgets, magrittr, openxlsx, pkgload, processx, rlang, sf, shiny, spData, tidyr, tmap, tmaptools, utils
Suggests: covr, knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2022-06-17 11:29:14 UTC; rstudio
Author: Etienne Camenen [aut, cre], Baptiste Couvy-Duchesne [aut]
Maintainer: Etienne Camenen <etienne.camenen@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-20 16:20:06 UTC

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New package CRABS with initial version 1.1.0
Package: CRABS
Title: Congruent Rate Analyses in Birth-Death Scenarios
Version: 1.1.0
Encoding: UTF-8
Description: Features tools for exploring congruent phylogenetic birth-death models. It can construct the pulled speciation- and net-diversification rates from a reference model. Given alternative speciation- or extinction rates, it can construct new models that are congruent with the reference model. Functionality is included to sample new rate functions, and to visualize the distribution of one congruence class. See also Louca & Pennell (2020) <doi:10.1038/s41586-020-2176-1>.
LazyData: true
Depends: R (>= 3.5.0), ggplot2
Imports: magrittr, deSolve, dplyr, tibble, colorspace, patchwork, latex2exp, tidyr, pracma, ape
License: GPL-3
Suggests: knitr, rmarkdown
URL: https://github.com/afmagee/CRABS
NeedsCompilation: no
Packaged: 2022-06-17 13:28:42 UTC; bjorn
Author: Bjoern Tore Kopperud [aut, cre], Sebastian Hoehna [aut], Andrew F. Magee [aut]
Maintainer: Bjoern Tore Kopperud <kopperud@protonmail.com>
Repository: CRAN
Date/Publication: 2022-06-20 16:30:02 UTC

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New package ElstonStewart with initial version 1.2
Package: ElstonStewart
Title: Elston-Stewart Algorithm
Depends: kinship2
Imports: methods, parallel, digest
Version: 1.2
Date: 2022-06-06
Author: Herve Perdry
Maintainer: Herve Perdry <herve.perdry@universite-paris-saclay.fr>
Description: Flexible implementation of Elston-Stewart algorithm.
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Packaged: 2022-06-09 09:04:49 UTC; rv
Repository: CRAN
Date/Publication: 2022-06-20 13:40:02 UTC

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New package rgl2gltf with initial version 1.0.0
Package: rgl2gltf
Title: Read and Write '.gltf' and '.glb' Files
Version: 1.0.0
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>
Description: The 'glTF' file format is used to describe 3D models. This package provides read and write functions to work with it.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: jsonlite, rgl (>= 0.108.43), grDevices, R6, base64enc
URL: https://github.com/dmurdoch/rgl2gltf
BugReports: https://github.com/dmurdoch/rgl2gltf/issues
Suggests: rmarkdown, knitr, misc3d, V8, manipulateWidget, png, jpeg
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2022-06-17 11:34:20 UTC; murdoch
Author: Duncan Murdoch [aut, cre], Morten S. Mikkelsen [cph]
Repository: CRAN
Date/Publication: 2022-06-20 08:20:02 UTC

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New package ipsecr with initial version 1.1.1
Package: ipsecr
Title: Spatially Explicit Capture-Recapture by Inverse Prediction
Version: 1.1.1
Date: 2022-06-17
Depends: R (>= 3.5.0), secr (>= 4.5.4)
Imports: graphics, grDevices, MASS, utils, parallel, stats, tools, stringr, nlme, Rcpp (>= 0.12.14)
Suggests: FrF2, rmarkdown, knitr, testthat
LinkingTo: Rcpp, BH
VignetteBuilder: knitr
Description: Estimates the density of a spatially distributed animal population sampled with an array of passive detectors, such as traps. Models incorporating distance-dependent detection are fitted by simulation and inverse prediction as proposed by Efford (2004) <doi:10.1111/j.0030-1299.2004.13043.x>.
License: GPL (>= 2)
LazyData: yes
LazyDataCompression: xz
URL: https://github.com/MurrayEfford/ipsecr/, https://www.otago.ac.nz/density/
NeedsCompilation: yes
Packaged: 2022-06-17 10:11:31 UTC; Murray
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Repository: CRAN
Date/Publication: 2022-06-20 08:20:06 UTC

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New package detourr with initial version 0.1.0
Package: detourr
Title: Portable and Performant Tour Animations
Version: 0.1.0
Description: Provides 2D and 3D tour animations as HTML widgets. The user can interact with the widgets using orbit controls, tooltips, brushing, and timeline controls. Linked brushing is supported using 'crosstalk', and widgets can be embedded in Shiny apps or HTML documents.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: tourr, tibble, htmlwidgets, tidyselect, rlang, purrr, viridisLite, grDevices
Suggests: testthat (>= 3.0.0), crosstalk, shiny, htmltools, knitr, dplyr, liminal, rmarkdown, geozoo
URL: https://casperhart.github.io/detourr/
BugReports: https://github.com/casperhart/detourr/issues
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2022-06-17 07:29:19 UTC; chart
Author: Casper Hart [aut, cre], Earo Wang [aut, ths]
Maintainer: Casper Hart <casperhart93@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-20 08:00:02 UTC

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Fri, 17 Jun 2022

New package LearningRlab with initial version 2.3
Package: LearningRlab
Version: 2.3
Date: 2022-6-17
Title: Statistical Learning Functions
Author: Carlos Javier Hellin Asensio [aut, cre], Jose Manuel Gomez Caceres [aut], Dennis Monheimius [aut], Eduardo Benito [aut], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut]
Maintainer: Carlos Javier Hellin Asensio <carlos.hellin@edu.uah.es>
Depends: magick, crayon
Suggests: knitr, rmarkdown
Description: Aids in learning statistical functions incorporating the result of calculus done with each function and how they are obtained, that is, which equation and variables are used. Also for all these equations and their related variables detailed explanations and interactive exercises are also included. All these characteristics allow to the package user to improve the learning of statistics basics by means of their use.
License: Unlimited
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-17 17:16:13 UTC; carlos
Repository: CRAN
Date/Publication: 2022-06-17 23:40:09 UTC
Encoding: UTF-8

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New package updater with initial version 0.1.0
Package: updater
Title: Utilities for Updating R
Version: 0.1.0
Description: When updating major or minor R versions all packages should be re-installed. The utilities in this package assist in getting a user up-and-running again by installing all previously installed R packages. The package uses 'renv' to install; immediately replenishing your 'renv' package cache.
License: MIT + file LICENSE
Imports: cli (>= 3.3.0), renv (>= 0.15.5)
Suggests: covr, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-06-16 22:37:05 UTC; SjobergD
Author: Daniel D. Sjoberg [aut, cre, cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-17 10:40:08 UTC

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New package sharp with initial version 1.1.0
Package: sharp
Title: Stability-enHanced Approaches using Resampling Procedures
Version: 1.1.0
Author: Barbara Bodinier [aut, cre]
Maintainer: Barbara Bodinier <b.bodinier@imperial.ac.uk>
URL: https://github.com/barbarabodinier/sharp
BugReports: https://github.com/barbarabodinier/sharp/issues
Description: Implementation of stability selection for graphical modelling and variable selection in regression and dimensionality reduction. These models use on resampling approaches to estimate selection probabilities (N Meinshausen, P Bühlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>). Calibration of the hyper-parameters is done via maximisation of a stability score measuring the likelihood of informative (non-uniform) selection (B Bodinier, S Filippi, TH Nost, J Chiquet, M Chadeau-Hyam (2021) <arXiv:2106.02521>). This package also includes tools to simulate multivariate Normal data with different (partial) correlation structures.
License: GPL (>= 3)
Language: en-GB
Encoding: UTF-8
Imports: glassoFast (>= 1.0.0), glmnet, grDevices, huge, igraph, MASS, mclust, parallel, Rdpack, withr (>= 2.4.0)
Suggests: cluster, corpcor, dbscan, elasticnet, gglasso, mixOmics, nnet, plotrix, RCy3, rmarkdown, sgPLS, survival (>= 3.2.13), testthat (>= 3.0.0), visNetwork
NeedsCompilation: no
Packaged: 2022-06-16 20:38:23 UTC; barbara
Repository: CRAN
Date/Publication: 2022-06-17 10:40:11 UTC

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New package quadcleanR with initial version 1.0.0
Package: quadcleanR
Title: Cleanup and Visualization of Quadrat Data
Version: 1.0.0
Description: A tool that can be customized to aid in the clean up of ecological data collected using quadrats and can crop quadrats to ensure comparability between quadrats collected under different methodologies.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/DominiqueMaucieri/quadcleanR, https://dominiquemaucieri.com/quadcleanR/
BugReports: https://github.com/DominiqueMaucieri/quadcleanR/issues
Suggests: covr, dplyr, ggplot2, kableExtra, knitr, MASS, rmarkdown, shiny, shinydashboard, shinyWidgets, testthat (>= 3.0.0), tidyr, viridis
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
Imports: magrittr
NeedsCompilation: no
Packaged: 2022-06-16 17:14:46 UTC; dom
Author: Dominique Maucieri [aut, cre]
Maintainer: Dominique Maucieri <dominiquemaucieri@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-17 10:20:02 UTC

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New package pkgstats with initial version 0.0.5
Package: pkgstats
Title: Metrics of R Packages
Version: 0.0.5
Description: Static code analyses for R packages using the external code-tagging libraries "ctags" and "gtags". Static analyses enable packages to be analysed very quickly, generally a couple of seconds at most. The package also provides access to a database generating by applying the main function to the full CRAN archive, enabling the statistical properties of any package to be compared with all other CRAN packages.
License: GPL-3
URL: https://docs.ropensci.org/pkgstats/, https://github.com/ropensci-review-tools/pkgstats
BugReports: https://github.com/ropensci-review-tools/pkgstats/issues
Imports: brio, checkmate, dplyr, fs, igraph, methods, readr, sys, withr
Suggests: curl, hms, jsonlite, knitr, parallel, pkgbuild, Rcpp, rmarkdown, roxygen2, testthat (>= 3.0.0), visNetwork
LinkingTo: cpp11
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
SystemRequirements: ctags, global, C++11
Packaged: 2022-06-15 10:15:13 UTC; smexus
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark.padgham@email.com>
Repository: CRAN
Date/Publication: 2022-06-17 10:10:02 UTC

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New package pfocal with initial version 1.0.0
Package: pfocal
Title: Fast Convolution of Matrices
Version: 1.0.0
Description: Provides functions to create and apply convolution kernels to rectangular data (matrix, raster). Implements calculations of convolutions in parallel, emphasizing performance over convolution function diversity. Moving window calculations are common in many fields, from image processing to raster data manipulation. The process of ingesting values in the neighborhood of a each cell in a grid, passing them through a function, and returning a reduced value, is embarrassingly parallel. This package implements this with parallel C code. In doing so, it provides a much faster option than other similarly aimed packages and functions.
License: GPL-3
BugReports: https://github.com/LandSciTech/pfocal/
Depends: R (>= 4.0.0)
Imports: Rcpp, stats, methods
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), starsExtra, raster, terra, covr, knitr, rmarkdown, microbenchmark, stars
Encoding: UTF-8
URL: https://landscitech.github.io/pfocal/
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-16 16:54:33 UTC; HughesJo
Author: Griffin Barrett [aut], Valentin Lucet [aut], Josie Hughes [aut, cre], Her Majesty the Queen in Right of Canada, as represented by the Minister of Environment and Climate Change [cph]
Maintainer: Josie Hughes <josie.hughes@ec.gc.ca>
Repository: CRAN
Date/Publication: 2022-06-17 10:30:02 UTC

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New package bayesassurance with initial version 0.1.0
Package: bayesassurance
Title: Bayesian Assurance Computation
Version: 0.1.0
Description: Computes Bayesian assurance under various settings characterized by different assumptions and objectives, including precision-based conditions, credible intervals, and goal functions. All simulation-based functions included in this package rely on a two-stage Bayesian method that assigns two distinct priors to evaluate the probability of observing a positive outcome, which addresses subtle limitations that take place when using the standard single-prior approach. For more information, please refer to Pan and Banerjee (2021) <arXiv:2112.03509>.
License: GPL (>= 2)
URL: https://github.com/jpan928/bayesassurance_rpackage
Depends: R (>= 3.5.0),
Imports: ggplot2 (>= 3.3.5), plotly (>= 4.10.0), plot3D (>= 1.4), pbapply (>= 1.5.0), dplyr (>= 1.0.8), MASS (>= 7.3.55), rlang (>= 1.0.2), stats (>= 4.0.5), mathjaxr (>= 1.5.2)
Maintainer: Jane Pan <jpan1@ucla.edu>
Encoding: UTF-8
Language: en-US
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-17 04:09:53 UTC; janepan
Author: Jane Pan [cre, aut], Sudipto Banerjee [aut]
Repository: CRAN
Date/Publication: 2022-06-17 10:40:17 UTC

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New package logrx with initial version 0.1.0
Package: logrx
Title: A Logging Utility Focus on Clinical Trial Programming Workflows
Version: 0.1.0
Description: A utility to facilitate the logging and review of R programs in clinical trial programming workflows.
License: MIT + file LICENSE
URL: https://github.com/atorus-research/logrx
BugReports: https://github.com/atorus-research/logrx/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, purrr, rlang, stats, tidyr, stringr, miniUI, rstudioapi, shiny, sessioninfo, stringi, waiter, tibble
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr, covr, pkgdown, Tplyr, haven, here
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2022-06-10 16:47:05 UTC; nathan.kosiba
Author: Nathan Kosiba [aut, cre] , Thomas Bermudez [aut], Ben Straub [aut], Michael Rimler [aut], Nicholas Masel [aut], GSK/Atorus JPT [cph, fnd]
Maintainer: Nathan Kosiba <Nathan.Kosiba@atorusresearch.com>
Repository: CRAN
Date/Publication: 2022-06-17 09:50:02 UTC

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New package SqueakR with initial version 1.0.0
Package: SqueakR
Title: An Experiment Superstructure for 'DeepSqueak'
Version: 1.0.0
Description: A collection of functions intended to produce convenient visualizations for rodent vocalizations exported from 'DeepSqueak'. These visualizations include call frequency-clustered graphs, and density graphs grouped by frequency, custom labels identified in 'DeepSqueak', and call duration.
URL: https://github.com/osimon81/SqueakR
License: MIT + file LICENSE
Imports: dplyr, ggcorrplot, ggeasy, gghighlight, ggplot2, ggpubr, readxl, rlist
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: no
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-06-16 04:13:29 UTC; Simon
Author: Simon Ogundare [aut, cre]
Maintainer: Simon Ogundare <simon.ogundare@columbia.edu>
Repository: CRAN
Date/Publication: 2022-06-17 07:20:02 UTC

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New package MakeYourPalette with initial version 0.1.3
Package: MakeYourPalette
Title: Make Your Palette
Version: 0.1.3
Description: Functions that allow you to create your own color palette from an image, using the KMeans algorithm.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/musajajorge/MakeYourPalette
Imports: raster, grDevices, rgdal, prismatic
NeedsCompilation: no
Packaged: 2022-06-16 03:53:16 UTC; jorge
Author: Jorge L. C. Musaja [aut, cre]
Maintainer: Jorge L. C. Musaja <musajajorge@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-17 07:20:05 UTC

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New package regr.easy with initial version 1.0.0
Package: regr.easy
Title: Easy Linear, Quadratic and Cubic Regression Models
Version: 1.0.0
Maintainer: Wagner Martins dos Santos <wagnnerms97@gmail.com>
Description: Focused on linear, quadratic and cubic regression models, it has a function for calculating the models, obtaining a list with their parameters, and a function for making the graphs for the respective models.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, stargazer
NeedsCompilation: no
Packaged: 2022-06-15 16:44:00 UTC; wagne
Author: Wagner Martins dos Santos [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-17 06:50:02 UTC

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New package Morphoscape with initial version 1.0.0
Package: Morphoscape
Title: Computation and Visualization of Adaptive Landscapes
Version: 1.0.0
Description: Implements adaptive landscape methods first described by Polly et al. (2016) <doi:10.1080/02724634.2016.1111225> for the integration, analysis and visualization of biological trait data on a phenotypic morphospace - typically defined by shape metrics.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: concaveman, ggplot2, sp, automap
Suggests: alphahull, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://blakedickson.github.io/Morphoscape/
NeedsCompilation: no
Packaged: 2022-06-15 18:15:00 UTC; Blake Dickson
Author: Blake Dickson [aut, cre] , Stephanie Pierce [aut] , Noah Greifer [aut]
Maintainer: Blake Dickson <blake.dickson@duke.edu>
Repository: CRAN
Date/Publication: 2022-06-17 07:00:07 UTC

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Thu, 16 Jun 2022

New package sae.prop with initial version 0.1.0
Package: sae.prop
Title: Small Area Estimation using Fay-Herriot Models with Additive Logistic Transformation
Version: 0.1.0
Description: Implements Additive Logistic Transformation (alr) for Small Area Estimation under Fay Herriot Model. Small Area Estimation is used to borrow strength from auxiliary variables to improve the effectiveness of a domain sample size. This package uses Empirical Best Linear Unbiased Prediction (EBLUP) estimator. The Additive Logistic Transformation (alr) are based on transformation by Aitchison J (1986). The covariance matrix for multivariate application is base on covariance matrix used by Esteban M, Lombardía M, López-Vizcaíno E, Morales D, and Pérez A <doi:10.1007/s11749-019-00688-w>. The non-sampled models are modified area-level models based on models proposed by Anisa R, Kurnia A, and Indahwati I <doi:10.9790/5728-10121519>, with univariate model using model-3, and multivariate model using model-1. The MSE are estimated using Parametric Bootstrap approach. For non-sampled cases, MSE are estimated using modified approach proposed by Haris F and Ubaidillah A <doi:10.4108/eai.2-8-2019.2290339>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/mrijalussholihin/sae.prop
BugReports: https://github.com/mrijalussholihin/sae.prop/issues
Imports: stats, utils, magic, MASS, corpcor, progress, fpc
NeedsCompilation: no
Packaged: 2022-06-15 09:27:40 UTC; M. Rijalus Sholihin
Author: M. Rijalus Sholihin [aut, cre], Cucu Sumarni [aut]
Maintainer: M. Rijalus Sholihin <221810400@stis.ac.id>
Repository: CRAN
Date/Publication: 2022-06-16 16:10:02 UTC

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New package ontologics with initial version 0.1.0
Package: ontologics
Title: Code-Logics to Handle Ontologies
Version: 0.1.0
Description: Provides tools to build and work with an ontology of linked (open) data in a tidy workflow. It is inspired by the FAO caliper platform and makes use of the Simple Knowledge Organisation System (SKOS).
URL: https://github.com/luckinet/ontologics
BugReports: https://github.com/luckinet/ontologics/issues
Depends: R (>= 2.10)
License: GPL (>= 3)
Encoding: UTF-8
Imports: checkmate, dplyr, magrittr, purrr, readr, rlang, stringr, tibble, tidyr, tidyselect
NeedsCompilation: no
Packaged: 2022-06-15 08:49:58 UTC; se87kuhe
Author: Steffen Ehrmann [aut, cre]
Maintainer: Steffen Ehrmann <steffen.ehrmann@posteo.de>
Repository: CRAN
Date/Publication: 2022-06-16 16:10:05 UTC

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New package ycevo with initial version 0.1.1
Package: ycevo
Title: Nonparametric Estimation of the Yield Curve Evolution
Version: 0.1.1
Maintainer: Yangzhuoran Fin Yang <yangyangzhuoran@gmail.com>
Description: Nonparametric estimation of the discount rate and yield curve. Koo, B., La Vecchia, D., & Linton, O. B. (2021) <doi:10.1016/j.jeconom.2020.04.014> describe the application with the Center for Research in Security Prices (CRSP) Bond Data and document the methods of this package.
URL: https://github.com/bonsook/ycevo
BugReports: https://github.com/bonsook/ycevo/issues
License: GPL-3
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, Matrix, Rcpp (>= 0.12.18), rlang, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), akima, knitr, plotly, rmarkdown, tidyverse
Language: en-AU
NeedsCompilation: yes
Packaged: 2022-06-15 14:33:56 UTC; yangy
Author: Bonsoo Koo [aut], Nathaniel Tomasetti [aut], Kai-Yang Goh [aut], Yangzhuoran Fin Yang [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-16 06:20:02 UTC

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Wed, 15 Jun 2022

New package MomTrunc with initial version 6.0
Package: MomTrunc
Title: Moments of Folded and Doubly Truncated Multivariate Distributions
Version: 6.0
Date: 2022-06-15
Author: Christian E. Galarza [aut, cre, trl] , Raymond Kan [ctb] , Victor H. Lachos [aut, ths]
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>
Description: It computes arbitrary products moments (mean vector and variance-covariance matrix), for some double truncated (and folded) multivariate distributions. These distributions belong to the family of selection elliptical distributions, which includes well known skewed distributions as the unified skew-t distribution (SUT) and its particular cases as the extended skew-t (EST), skew-t (ST) and the symmetric student-t (T) distribution. Analogous normal cases unified skew-normal (SUN), extended skew-normal (ESN), skew-normal (SN), and symmetric normal (N) are also included. Density, probabilities and random deviates are also offered for these members.
License: GPL (>= 2)
Depends: R (>= 3.6.0)
Imports: Rcpp (>= 1.0.1), mvtnorm (>= 1.0.11), tlrmvnmvt (>= 1.1.0), hypergeo
LinkingTo: Rcpp (>= 1.0.1), RcppArmadillo, mvtnorm
Suggests: tmvtnorm
NeedsCompilation: yes
Packaged: 2022-06-15 18:51:55 UTC; cgala
Repository: CRAN
Date/Publication: 2022-06-15 23:10:05 UTC

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New package hisse with initial version 2.1.9
Package: hisse
Version: 2.1.9
Date: 2022-06-15
Title: Hidden State Speciation and Extinction
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>
Depends: ape, deSolve, GenSA, subplex, nloptr
Suggests: testthat, knitr, rmarkdown, markdown
Imports: parallel, phytools, data.table, igraph, methods, diversitree, paleotree, plotrix, geiger, phangorn, TreeSim, corHMM
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.
License: GPL (>= 2)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-15 14:31:28 UTC; jeremybeaulieu
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Daniel Caetano [aut], James Boyko [aut], Thais Vasconcelos [aut]
Repository: CRAN
Date/Publication: 2022-06-15 15:40:02 UTC

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New package germinationmetrics with initial version 0.1.6
Package: germinationmetrics
Title: Seed Germination Indices and Curve Fitting
Version: 0.1.6
Description: Provides functions to compute various germination indices such as germinability, median germination time, mean germination time, mean germination rate, speed of germination, Timson's index, germination value, coefficient of uniformity of germination, uncertainty of germination process, synchrony of germination etc. from germination count data. Includes functions for fitting cumulative seed germination curves using four-parameter hill function and computation of associated parameters. See the vignette for more, including full list of citations for the methods implemented.
Copyright: 2017-2022, ICAR-NBPGR
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
Imports: broom, data.table, ggplot2, ggrepel, mathjaxr, minpack.lm, plyr, Rdpack, utils, stats
Suggests: knitr, rmarkdown, reshape2, pander, XML, httr, RCurl
URL: https://github.com/aravind-j/germinationmetrics, https://aravind-j.github.io/germinationmetrics/ https://CRAN.R-project.org/package=germinationmetrics https://doi.org/10.5281/zenodo.1219630
BugReports: https://github.com/aravind-j/germinationmetrics/issues
NeedsCompilation: no
Packaged: 2022-06-15 09:31:42 UTC; J. Aravind
Author: J. Aravind [aut, cre] , S. Vimala Devi [aut], J. Radhamani [aut], Sherry Rachel Jacob [aut], Kalyani Srinivasan [aut], ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.gov.in>
Repository: CRAN
Date/Publication: 2022-06-15 16:00:02 UTC

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New package annotater with initial version 0.2.1
Package: annotater
Title: Annotate Package Load Calls
Version: 0.2.1
Description: Provides non-invasive annotation of package load calls such as \code{library()}, \code{p_load()}, and \code{require()} so that we can have an idea of what the packages we are loading are meant for.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr, purrr, tibble, dplyr, stringi, readr, rstudioapi, tidyr, rlang
URL: https://github.com/luisDVA/annotater, https://annotater.liomys.mx
BugReports: https://github.com/luisDVA/annotater/issues
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-14 18:14:33 UTC; luisd
Author: Luis D. Verde Arregoitia [aut, cre]
Maintainer: Luis D. Verde Arregoitia <luis@liomys.mx>
Repository: CRAN
Date/Publication: 2022-06-15 13:20:02 UTC

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New package worldfootballR with initial version 0.5.6
Package: worldfootballR
Title: Extract and Clean World Football (Soccer) Data
Version: 0.5.6
Description: Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref'<https://fbref.com/en/>, transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and other match stats data from 'Understat'<https://understat.com/> and 'fotmob'<https://www.fotmob.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.
License: GPL-3
URL: https://github.com/JaseZiv/worldfootballR
BugReports: https://github.com/JaseZiv/worldfootballR/issues
Depends: R (>= 4.0.0)
Imports: dplyr, glue, httr, janitor, jsonlite, lubridate, magrittr, progress, purrr, qdapRegex, readr, rlang, rvest (>= 1.0.0), stats, stringi, stringr, tidyr (>= 1.2.0), utils, withr, xml2, tibble, cli
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-14 23:44:46 UTC; zivkovij
Author: Jason Zivkovic [aut, cre, cph], Tony ElHabr [ctb], Tan Ho [ctb]
Maintainer: Jason Zivkovic <jaseziv83@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 09:50:02 UTC

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New package OUwie with initial version 2.10
Package: OUwie
Version: 2.10
Date: 2022-06-06
Title: Analysis of Evolutionary Rates in an OU Framework
Author: Jeremy M. Beaulieu <jmbeauli@uark.edu>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>
Depends: R (>= 3.2.0), ape, corpcor, nloptr, geiger, RColorBrewer
Suggests: testthat, knitr, rmarkdown
Imports: igraph, numDeriv, phytools, paleotree, phangorn, stats, lhs, interp, grDevices, parallel, phylolm
Description: Estimates rates for continuous character evolution under Brownian motion and a new set of Ornstein-Uhlenbeck based Hansen models that allow both the strength of the pull and stochastic motion to vary across selective regimes. Beaulieu et al (2012).
URL: https://github.com/thej022214/OUwie
License: GPL (>= 2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-07 12:37:26 UTC; jeremybeaulieu
Repository: CRAN
Date/Publication: 2022-06-15 09:10:02 UTC

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New package mdsOpt with initial version 0.6-3
Package: mdsOpt
Title: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
Version: 0.6-3
Date: 2022-06-14
Depends: R (>= 3.6.0), smacof, clusterSim, symbolicDA
Imports: animation, plotrix, spdep
Suggests: testthat, R.rsp
VignetteBuilder: R.rsp
Description: Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Groenen, P.J.F., Winsberg, S., Rodriguez, O., Diday, E. (2006) <doi:10.1016/j.csda.2006.04.003>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).
License: GPL (>= 2)
URL: http://keii.ue.wroc.pl/mdsOpt/
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-14 19:14:13 UTC; andrzej
Author: Marek Walesiak [aut] , Andrzej Dudek [aut, cre]
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Repository: CRAN
Date/Publication: 2022-06-15 09:20:02 UTC

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New package simodels with initial version 0.0.4
Package: simodels
Title: Flexible Framework for Developing Spatial Interaction Models
Version: 0.0.4
Description: Develop spatial interaction models (SIMs). SIMs predict the amount of interaction, for example number of trips per day, between geographic entities representing trip origins and destinations. Contains functions for creating origin-destination datasets from geographic input datasets and calculating movement between origin-destination pairs with constrained, production-constrained, and attraction-constrained models (Wilson 1979) <doi:10.1068/a030001>.
License: AGPL (>= 3)
URL: https://github.com/robinlovelace/simodels, https://robinlovelace.github.io/simodels/
BugReports: https://github.com/robinlovelace/simodels/issues
Depends: R (>= 2.10)
Imports: dplyr, geodist, od (>= 0.4.0), rlang, sf
Suggests: ggplot2, knitr, minpack.lm, rmarkdown, tmap
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-13 22:56:18 UTC; robin
Author: Robin Lovelace [aut, cre] , Jakub Nowosad [aut]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:10:02 UTC

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New package MissingPlotRBD with initial version 0.1.0
Package: MissingPlotRBD
Title: Missing Plot in RBD
Version: 0.1.0
Description: A system for Analysis of RBD when there is one missing observation. Methods for this process is described in A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-13 22:06:59 UTC; USER
Author: Arnab Roy [aut, cre], Debarghya Baul [aut]
Maintainer: Arnab Roy <arnabroy7640@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:10:14 UTC

More information about MissingPlotRBD at CRAN
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New package LogisticCurveFitting with initial version 0.1.0
Package: LogisticCurveFitting
Title: Logistic Curve Fitting by Rhodes Method
Version: 0.1.0
Description: A system for fitting Logistic Curve by Rhodes Method. Method for fitting logistic curve by Rhodes Method is described in A.M.Gun,M.K.Gupta and B.Dasgupta(2019,ISBN:81-87567-81-3).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-13 19:09:38 UTC; USER
Author: Debarghya Baul [aut, cre], Arnab Roy [aut]
Maintainer: Debarghya Baul <debarghyabaul@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:10:17 UTC

More information about LogisticCurveFitting at CRAN
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New package dsims with initial version 0.2.3
Package: dsims
Depends: dssd (>= 0.2.2)
Imports: mrds, Distance, sf, sp, ggplot2, mgcv, rgeos, methods, rstudioapi, gridExtra, rlang
Suggests: testthat, parallel, pbapply, knitr, lwgeom, rmarkdown
VignetteBuilder: knitr
Title: Distance Sampling Simulations
Version: 0.2.3
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>
Description: Performs distance sampling simulations. 'dsims' repeatedly generates instances of a user defined population within a given survey region. It then generates realisations of a survey design and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This process allows users to optimise survey designs for their specific set of survey conditions. The effects of uncertainty in population distribution or parameters can be investigated under a number of simulations so that users can be confident that they have achieved a robust survey design before deploying vessels into the field. The distance sampling designs used in this package from 'dssd' are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). General distance sampling methods are detailed in Introduction to Distance Sampling: Estimating Abundance of Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating animal/plant abundance with distance sampling at <http://distancesampling.org/>.
License: GPL (>= 2)
Language: en-GB
URL: https://github.com/DistanceDevelopment/dsims
BugReports: https://github.com/DistanceDevelopment/dsims/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-14 12:09:25 UTC; laura
Repository: CRAN
Date/Publication: 2022-06-15 07:30:02 UTC

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New package concom with initial version 1.0.0
Package: concom
Title: Connected Components of an Undirected Graph
Version: 1.0.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides a function for fast computation of the connected components of an undirected graph (though not faster than the components() function of the 'igraph' package) from the edges or the adjacency matrix of the graph. Based on this one, a function to compute the connected components of a triangle 'rgl' mesh is also provided.
License: GPL-3
URL: https://github.com/stla/concom
BugReports: https://github.com/stla/concom/issues
Imports: english, Rcpp (>= 1.0.8), rgl, Rvcg
Suggests: rmarchingcubes
LinkingTo: BH, Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-06-14 09:24:00 UTC; SDL96354
Author: Stephane Laurent [cre, aut]
Repository: CRAN
Date/Publication: 2022-06-15 07:30:05 UTC

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New package cmhc with initial version 0.2.0
Package: cmhc
Title: Access, Retrieve, and Work with CMHC Data
Version: 0.2.0
Author: Jens von Bergmann
Maintainer: Jens von Bergmann <jens@mountainmath.ca>
Description: Wrapper around the Canadian Mortgage and Housing Corporation (CMHC) web interface. It enables programmatic and reproducible access to a wide variety of housing data from CMHC.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: yes
NeedsCompilation: no
Depends: R (>= 4.1)
Imports: dplyr (>= 1.0), digest (>= 0.1), httr, readr, stringr, tibble, rlang, aws.s3
Suggests: knitr, scales, cancensus, ggplot2, tidyr, rmarkdown, sf
VignetteBuilder: knitr
URL: https://github.com/mountainMath/cmhc, https://mountainmath.github.io/cmhc/, https://www03.cmhc-schl.gc.ca/hmip-pimh/en
BugReports: https://github.com/mountainMath/cmhc/issues
Packaged: 2022-06-14 17:11:44 UTC; jens
Repository: CRAN
Date/Publication: 2022-06-15 08:00:02 UTC

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New package abjData with initial version 1.1.2
Package: abjData
Title: Databases Used Routinely by the Brazilian Jurimetrics Association
Version: 1.1.2
Description: The Brazilian Jurimetrics Association (ABJ in Portuguese, see <https://abj.org.br/> for more information) is a non-profit organization which aims to investigate and promote the use of statistics and probability in the study of Law and its institutions. This package has a set of datasets commonly used in our book.
Depends: R (>= 3.3.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://abjur.github.io/abjData/
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2022-06-14 00:23:12 UTC; julio
Author: Julio Trecenti [aut, cre] , Renata Hirota [ctb], Katerine Witkoski [aut] , Associacao Brasileira de Jurimetria [cph, fnd]
Maintainer: Julio Trecenti <julio.trecenti@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:20:05 UTC

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New package IIProductionUnknown with initial version 0.0.1
Package: IIProductionUnknown
Title: Analyzing Data Through of Percentage of Importance Indice (Production Unknown) and Its Derivations
Version: 0.0.1
Description: The Importance Index (I.I.) can determine the loss and solution sources for a system in certain knowledge areas (e.g., agronomy), when production (e.g., fruits) is known (Demolin-Leite, 2021). Events (e.g., agricultural pest) can have different magnitudes (numerical measurements), frequencies, and distributions (aggregate, random, or regular) of event occurrence, and I.I. bases in this triplet (Demolin-Leite, 2021) <https://cjascience.com/index.php/CJAS/article/view/1009/1319>. Usually, the higher the magnitude and frequency of aggregated distribution, the greater the problem or the solution (e.g., natural enemies versus pests) for the system (Demolin-Leite, 2021). However, the final production of the system is not always known or is difficult to determine (e.g., degraded area recovery). A derivation of the I.I. is the percentage of Importance Index-Production Unknown (% I.I.-PU) that can detect the loss or solution sources, when production is unknown for the system (Demolin-Leite, 2024) <DOI:10.1590/1519-6984.253218>.
License: GPL-3
Depends: crayon
Encoding: UTF-8
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2022-06-13 11:50:26 UTC; Alcinei
Author: Germano Leao Demolin-Leite [aut] , Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>
Repository: CRAN
Date/Publication: 2022-06-15 07:00:02 UTC

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Tue, 14 Jun 2022

New package rwt with initial version 1.0.2
Package: rwt
Version: 1.0.2
Date: 2022-06-09
Title: 'Rice Wavelet Toolbox' Wrapper
Description: Provides a set of functions for 1D and 2D wavelet and filter bank design, analysis, and processing. Functions for denoising are also included. The package can be used for image denoising or deconvolution.
Depends: R (>= 2.15)
Imports: matlab
URL: https://cran.r-project.org/package=rwt
License: BSD_3_clause + file LICENSE
Copyright: file COPYRIGHTS
NeedsCompilation: yes
LazyLoad: yes
Repository: CRAN
Date/Publication: 2022-06-14 11:40:02 UTC
Repository/R-Forge/Project: estimate
Repository/R-Forge/Revision: 61
Repository/R-Forge/DateTimeStamp: 2022-06-09 14:42:11
Packaged: 2022-06-09 14:52:11 UTC; rforge
Author: P. Roebuck [aut, trl, cre] , Rice University's DSP group [aut, cph] , MD Anderson Cancer Center [cph]
Maintainer: P. Roebuck <proebuck1701@gmail.com>

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New package AHMbook with initial version 0.2.6
Package: AHMbook
Title: Functions and Data for the Book 'Applied Hierarchical Modeling in Ecology' Vols 1 and 2
Version: 0.2.6
Date: 2022-05-05
Depends: R (>= 2.10)
Imports: grDevices, graphics, methods, stats, utils, plotrix, raster, sp, fields, coda, unmarked (>= 0.12.2), mvtnorm, spdep
Suggests: RandomFields
BugReports: https://github.com/mikemeredith/AHMbook/issues
Description: Provides functions to simulate data sets from hierarchical ecological models, including all the simulations described in the two volume publication 'Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS' by Marc Kéry and Andy Royle: volume 1 (2016, ISBN: 978-0-12-801378-6) and volume 2 (2021, ISBN: 978-0-12-809585-0), <https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook/>. It also has all the utility functions and data sets needed to replicate the analyses shown in the books.
License: GPL (>= 3)
Copyright: file COPYRIGHTS
NeedsCompilation: no
URL: https://sites.google.com/site/appliedhierarchicalmodeling/home
Encoding: UTF-8
Language: en-US
Packaged: 2022-05-05 08:22:32 UTC; User
Author: Marc Kery [aut], Andy Royle [aut], Mike Meredith [aut, cre], Urs Breitenmoser [dtc] , Richard Chandler [ctb], Bob Dorazio [ctb], Evan Grant [dtc] , John-Andren Henden [dtc] , Roland Kays [dtc] , Ken Kellner [ctb] , David King [dtc] , Xavier Lambin [d [...truncated...]
Maintainer: Mike Meredith <mike@mmeredith.net>
Repository: CRAN
Date/Publication: 2022-06-14 11:50:02 UTC

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New package Rtapas with initial version 0.9
Package: Rtapas
Title: Random Tanglegram Partitions
Version: 0.9
Date: 2022-06-03
Description: Applies a given global-fit method to random partial tanglegrams of a fixed size to identify the associations, terminals, and nodes that maximize phylogenetic (in)congruence. It also includes functions to compute more easily the confidence intervals of classification metrics and plot results, reducing computational time. See Llaberia-Robledillo et al. (2022, <doi:10.1101/2022.05.17.492291>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: phytools, parallel, R (>= 3.5.0)
Imports: ape, distory, GiniWegNeg, paco, stats, vegan, stringr, parallelly
NeedsCompilation: no
Suggests: testthat (>= 3.0.0)
Packaged: 2022-06-13 07:01:18 UTC; Mar
Author: Mar Llaberia-Robledillo [aut, cre, cph] , Juan A. Balbuena [aut, cph]
Maintainer: Mar Llaberia-Robledillo <mar.llaberia@uv.es>
Repository: CRAN
Date/Publication: 2022-06-14 10:40:02 UTC

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New package r3js with initial version 0.0.1
Package: r3js
Title: 'WebGL'-Based 3D Plotting using the 'three.js' Library
Version: 0.0.1
Date: 2022-06-10
Author: Sam Wilks
Maintainer: Sam Wilks <sw463@cam.ac.uk>
Description: Provides R and 'JavaScript' functions to allow 'WebGL'-based 3D plotting using the 'three.js' 'JavaScript' library. Interactivity through roll-over highlighting and toggle buttons is also supported.
License: AGPL-3
Encoding: UTF-8
LazyData: true
Imports: htmlwidgets, htmltools, jsonlite, ellipsis, vctrs
Suggests: testthat, rmarkdown, colorspace, knitr
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-06-13 10:40:52 UTC; samwilks
Repository: CRAN
Date/Publication: 2022-06-14 10:50:02 UTC

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New package PointedSDMs with initial version 1.0.5
Package: PointedSDMs
Title: Fit Models Derived from Point Processes to Species Distributions using 'inlabru'
Version: 1.0.5
Maintainer: Philip Mostert <philip.s.mostert@ntnu.no>
URL: https://github.com/PhilipMostert/PointedSDMs
BugReports: https://github.com/PhilipMostert/PointedSDMs/issues
Description: Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models. Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking. We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them. There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions. An introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) <doi:10.1016/j.tree.2019.08.006>.
Depends: R (>= 3.5), stats, methods, ggplot2, inlabru (>= 2.5)
Imports: R6, sp (>= 1.4-5), raster, R.devices, blockCV
Suggests: testthat (>= 3.0.0), USAboundaries, sf, sn, INLA (>= 21.08.31), rasterVis, ggmap, ggpolypath, RColorBrewer, cowplot, knitr, kableExtra, rmarkdown, covr
Additional_repositories: https://inla.r-inla-download.org/R/testing
License: GPL (>= 3)
VignetteBuilder: knitr
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-12 19:13:46 UTC; philism
Author: Philip Mostert [aut, cre], Bob O'hara [aut]
Repository: CRAN
Date/Publication: 2022-06-14 10:30:02 UTC

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New package nser with initial version 1.4.2
Package: nser
Title: Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India for Equities and Equity Derivatives (F&O)
Version: 1.4.2
Date: 2022-06-12
Maintainer: Nandan Patil <tryanother609@gmail.com>
Description: Download Present & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives(F&O) segment. Data source <https://www.nseindia.com/>.
URL: https://github.com/nandp1/nser/
BugReports: https://github.com/nandp1/nser/issues
Language: en-US
License: GPL-3
Depends: R (>= 3.0)
Encoding: UTF-8
LazyData: true
Imports: stats, utils, readr, magrittr, rvest, tidyverse, stringr, jsonlite, RSelenium, googleVis, dplyr, lubridate, purrr, curl
Suggests: rmarkdown, testthat (>= 3.0.0), knitr, reshape2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-12 14:12:47 UTC; ACER
Author: Nandan Patil [cre, aut]
Repository: CRAN
Date/Publication: 2022-06-14 10:20:02 UTC

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New package iTensor with initial version 0.99.0
Package: iTensor
Title: ICA-Based Matrix/Tensor Decomposition
Version: 0.99.0
Description: Some functions for performing ICA, MICA, and Multilinear ICA are implemented. ICA, MICA, and Multilinear ICA extract statistically independent components from single matrix, multiple matrices, and single tensor, respectively. For the details of these methods, see the reference section of GitHub README.md <https://github.com/rikenbit/iTensor>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
URL: https://github.com/rikenbit/mwTensor
Suggests: testthat (>= 3.0.0)
Imports: MASS, methods, rTensor, stats
NeedsCompilation: no
Packaged: 2022-06-11 02:07:53 UTC; tsuyusakikouki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2022-06-14 10:10:02 UTC

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New package cleanrmd with initial version 0.1.0
Package: cleanrmd
Title: Clean Class-Less 'R Markdown' HTML Documents
Version: 0.1.0
Description: A collection of clean 'R Markdown' HTML document templates using classy-looking classless CSS styles. These documents use a minimal set of dependencies but still look great, making them suitable for use a package vignettes or for sharing results via email.
License: MIT + file LICENSE
URL: https://pkg.garrickadenbuie.com/cleanrmd/, https://github.com/gadenbuie/cleanrmd
BugReports: https://github.com/gadenbuie/cleanrmd/issues
Depends: R (>= 2.10)
Imports: htmltools, jsonlite, rmarkdown, utils
Suggests: testthat (>= 2.1.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-11 14:11:45 UTC; garrick
Author: Garrick Aden-Buie [aut, cre, cph] , Igor Adamenko [ctb, cph] , Alvaro Montoro [ctb, cph] , Ruan Martinelli [ctb, cph] , Tran Ngoc Tuan Anh [ctb, cph] , Marco Pontili [ctb, cph] , Evgeny Orekhov [ctb, cph] , Vincent Dorig [ctb, cph] , Yegor Bugayenko [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2022-06-14 10:10:04 UTC

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New package IRon with initial version 0.1.2
Package: IRon
Title: Solving Imbalanced Regression Tasks
Version: 0.1.2
Description: Imbalanced domain learning has almost exclusively focused on solving classification tasks, where the objective is to predict cases labelled with a rare class accurately. Such a well-defined approach for regression tasks lacked due to two main factors. First, standard regression tasks assume that each value is equally important to the user. Second, standard evaluation metrics focus on assessing the performance of the model on the most common cases. This package contains methods to tackle imbalanced domain learning problems in regression tasks, where the objective is to predict extreme (rare) values. The methods contained in this package are: 1) an automatic and non-parametric method to obtain such relevance functions; 2) visualisation tools; 3) suite of evaluation measures for optimisation/validation processes; 4) the squared-error relevance area measure, an evaluation metric tailored for imbalanced regression tasks. More information can be found in Ribeiro and Moniz (2020) <doi:10.1007/s10994-020-05900-9>.
URL: https://github.com/nunompmoniz/IRon
BugReports: https://github.com/nunompmoniz/IRon/issues
License: CC0
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Depends: R (>= 2.10)
Imports: Rcpp, stats, ggpubr, gridExtra, ggplot2, robustbase, scam
Suggests: rpart, e1071, earth, randomForest, mgcv, reshape
NeedsCompilation: yes
Packaged: 2022-06-13 23:02:59 UTC; admin
Author: Nuno Moniz [cre, aut], Rita P. Ribeiro [aut], Miguel Margarido [ctb]
Maintainer: Nuno Moniz <nmmoniz@inesctec.pt>
Repository: CRAN
Date/Publication: 2022-06-14 06:50:02 UTC

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Mon, 13 Jun 2022

New package itemanalysis with initial version 1.1
Package: itemanalysis
Version: 1.1
Date: 2022-06-13
Title: Classical Test Theory Item Analysis
Author: Cengiz Zopluoglu
Maintainer: Cengiz Zopluoglu <cen.zop@gmail.com>
Depends: ggplot2, polycor, car
Description: Runs classical item analysis for multiple-choice test items and polytomous items (e.g., rating scales). The statistics reported in this package can be found in any measurement textbook such as Crocker and Algina (2006, ISBN:9780495395911).
License: GPL (>= 2)
URL: https://cengiz.me/
NeedsCompilation: no
Packaged: 2022-06-13 17:07:56 UTC; cengiz
Repository: CRAN
Date/Publication: 2022-06-14 00:10:02 UTC

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New package corHMM with initial version 2.8
Package: corHMM
Version: 2.8
Date: 2022-06-10
Title: Hidden Markov Models of Character Evolution
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>
Depends: ape, nloptr, GenSA
Suggests: testthat, knitr, rmarkdown
Imports: expm, numDeriv, corpcor, MASS, nnet, phangorn, parallel, viridis, Rmpfr, igraph, phytools
Description: Fits hidden Markov models of discrete character evolution which allow different transition rate classes on different portions of a phylogeny. Beaulieu et al (2013) <doi:10.1093/sysbio/syt034>.
License: GPL (>= 2)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-10 21:16:55 UTC; jeremybeaulieu
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Jeffrey Oliver [aut], James Boyko [aut]
Repository: CRAN
Date/Publication: 2022-06-13 22:20:09 UTC

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New package cfbfastR with initial version 1.9.0
Package: cfbfastR
Title: Access College Football Play by Play Data
Version: 1.9.0
Description: A utility to quickly obtain clean and tidy college football data. Serves as a wrapper around the <https://collegefootballdata.com/> API and provides functions to access live play by play and box score data from ESPN <https://www.espn.com> when available. It provides users the capability to access a plethora of endpoints, and supplement that data with additional information (Expected Points Added/Win Probability added).
License: MIT + file LICENSE
URL: https://cfbfastR.sportsdataverse.org/, https://github.com/sportsdataverse/cfbfastR
BugReports: https://github.com/sportsdataverse/cfbfastR/issues
Depends: R (>= 4.0.0)
Imports: cli (>= 3.0.0), data.table (>= 1.14.0), dplyr, glue, httr, janitor, jsonlite, magrittr, mgcv (>= 1.8-33), nnet, progressr (>= 0.6.0), purrr (>= 0.3.0), Rcpp (>= 1.0.7), RcppParallel (>= 5.1.4), rlang, stringr (>= 1.3.0), tibble (>= 3.0), tidyr (>= 1.0.0)
Suggests: crayon (>= 1.3.4), curl, DBI, ggplot2, ggrepel, qs (>= 0.25.1), rmarkdown, RSQLite, stats, stringi, testthat, usethis (>= 1.6.0), xgboost (>= 1.1)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-10 20:23:39 UTC; sgilani
Author: Saiem Gilani [cre, aut], Akshay Easwaran [aut], Jared Lee [aut], Eric Hess [aut], Michael Egle [ctb], Nate Manzo [ctb], Jason DeLoach [ctb], Tej Seth [ctb], Conor McQuiston [ctb], Tan Ho [ctb], Keegan Abdoo [ctb], Matt Spencer [ctb], Sebastian Carl [ [...truncated...]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-13 22:10:02 UTC

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New package gyro with initial version 1.0.1
Package: gyro
Title: Hyperbolic Geometry
Version: 1.0.1
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Hyperbolic geometry in the Minkowski model and the Poincaré model. The methods are based on the gyrovector space theory developed by A. A. Ungar that can be found in the book 'Analytic Hyperbolic Geometry: Mathematical Foundations And Applications' <doi:10.1142/5914>. The package provides functions to plot three-dimensional hyperbolic polyhedra and to plot hyperbolic tilings of the Poincaré disk.
License: GPL-3
Encoding: UTF-8
SystemRequirements: C++ 11
Imports: Rcpp, rgl, Rvcg, Morpho, purrr, cxhull (>= 0.3.0), grDevices, rstudioapi, clipr, plotrix, graphics
LinkingTo: Rcpp
Suggests: rmarkdown, knitr, trekcolors, uniformly, arrangements
URL: https://github.com/stla/gyro
BugReports: https://github.com/stla/gyro/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-08 10:54:57 UTC; SDL96354
Repository: CRAN
Date/Publication: 2022-06-13 09:20:05 UTC

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New package REdaS with initial version 0.9.4
Package: REdaS
Title: Companion Package to the Book 'R: Einführung durch angewandte Statistik'
Version: 0.9.4
Date: 2022-06-11
Description: Provides functions used in the 'R: Einführung durch angewandte Statistik' (second edition).
Depends: R (>= 3.0.0), grid
Imports: stats
Suggests: car, cluster, foreign, GPArotation, MASS, mclust, psych, UsingR, vcd
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-11 14:03:35 UTC; mm
Author: Marco Johannes Maier [cre, aut]
Maintainer: Marco Johannes Maier <marco_maier@posteo.de>
Repository: CRAN
Date/Publication: 2022-06-13 08:36:45 UTC

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New package SoyURT with initial version 1.0.0
Package: SoyURT
Title: USDA Northern Region Uniform Soybean Tests Dataset
Version: 1.0.0
Author: Matheus Dalsente Krause [aut, cre] , William Dale Beavis [aut]
Maintainer: Matheus Dalsente Krause <krause.d.matheus@gmail.com>
Description: Data sets used by 'Krause et al. (2022)' <doi:10.1101/2022.04.11.487885>. It comprises phenotypic records obtained from the USDA Northern Region Uniform Soybean Tests from 1989 to 2019 for maturity groups II and III. In addition, soil and weather variables are provided for the 591 observed environments (combination of locations and years).
URL: https://github.com/mdkrause/soyurt
NeedsCompilation: no
Language: en-US
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
LazyDataCompression: xz
Suggests: spelling
Packaged: 2022-06-10 14:41:03 UTC; mdkrause
Repository: CRAN
Date/Publication: 2022-06-13 06:30:03 UTC

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New package PlatformDesign with initial version 1.0.1
Package: PlatformDesign
Title: Optimal Two-Period Multi-Arm Platform Design
Version: 1.0.1
Description: Design parameters can be calculated using this package based on the optimal two-period multi-arm platform design allowing pre-planned deferred arms to be added during the trial. More details about the design method can be found in the paper: Pan, H., Yuan, X. and Ye, J. (2022) "An optimal two-period multi-arm platform design with adding new arms". Manuscript submitted for publication. For additional references: Dunnett, C. W. (1955) <doi:10.2307/2281208>.
Imports: mvtnorm, stats
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-10 15:03:44 UTC; xyuan86
Author: Xiaomeng Yuan [aut, cre], Haitao Pan [aut]
Maintainer: Xiaomeng Yuan <xiaomeng.yuan@stjude.org>
Repository: CRAN
Date/Publication: 2022-06-13 06:40:08 UTC

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New package mggd with initial version 1.0.2
Package: mggd
Title: Multivariate Generalised Gaussian Distribution; Kullback-Leibler Divergence
Version: 1.0.2
Maintainer: Pierre Santagostini <pierre.santagostini@agrocampus-ouest.fr>
Description: Distance between multivariate generalised Gaussian distributions, as presented by N. Bouhlel and A. Dziri (2019) <doi:10.1109/LSP.2019.2915000>. Manipulation of multivariate generalised Gaussian distributions (methods presented by Gomez, Gomez-Villegas and Marin (1998) <doi:10.1080/03610929808832115> and Pascal, Bombrun, Tourneret and Berthoumieu (2013) <doi:10.1109/TSP.2013.2282909>).
Depends: R (>= 3.3.0)
Imports: MASS, rgl
License: GPL (>= 3)
URL: https://forgemia.inra.fr/imhorphen/mggd
BugReports: https://forgemia.inra.fr/imhorphen/mggd/-/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-06-10 17:05:49 UTC; santagostini
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut]
Repository: CRAN
Date/Publication: 2022-06-13 06:40:02 UTC

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New package kerSeg with initial version 1.0
Package: kerSeg
Title: New Kernel-Based Change-Point Detection
Version: 1.0
Author: Hoseung Song [aut, cre], Hao Chen [aut]
Maintainer: Hoseung Song <hosong@ucdavis.edu>
Description: New kernel-based test and fast tests for detecting change-points or changed-intervals where the distributions abruptly change. They work well particularly for high-dimensional data. Song, H. and Chen, H. (2022) <arXiv:2206.01853>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.7)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-06-10 15:31:18 UTC; hsong3
Repository: CRAN
Date/Publication: 2022-06-13 06:40:05 UTC

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New package GmptzCurve with initial version 0.1.0
Package: GmptzCurve
Title: Gompertz Curve Fitting
Version: 0.1.0
Description: A system for fitting Gompertz Curve in a Time Series Data.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-10 19:04:46 UTC; USER
Author: Arnab Roy [aut, cre], Debarghya Baul [aut]
Maintainer: Arnab Roy <arnabroy7640@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-13 06:50:19 UTC

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Fri, 10 Jun 2022

New package zetadiv with initial version 1.2.1
Package: zetadiv
Title: Functions to Compute Compositional Turnover Using Zeta Diversity
Version: 1.2.1
Date: 2022-06-08
Description: Functions to compute compositional turnover using zeta-diversity, the number of species shared by multiple assemblages. The package includes functions to compute zeta-diversity for a specific number of assemblages and to compute zeta-diversity for a range of numbers of assemblages. It also includes functions to explain how zeta-diversity varies with distance and with differences in environmental variables between assemblages, using generalised linear models, linear models with negative constraints, generalised additive models,shape constrained additive models, and I-splines.
Depends: R (>= 4.0.0), scam
License: GPL-3
Imports: stats, graphics, grDevices, utils, car, mgcv, vegan, geodist, nnls, glm2
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-10 09:40:10 UTC; guillaumelatombe
Author: Guillaume Latombe [aut, cre], Melodie A. McGeoch [aut], David A. Nipperess [aut], Cang Hui [aut]
Maintainer: Guillaume Latombe <latombe.guillaume@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-10 22:30:02 UTC

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New package lifecontingencies with initial version 1.3.9
Package: lifecontingencies
Title: Financial and Actuarial Mathematics for Life Contingencies
Version: 1.3.9
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein. See Spedicato (2013) <doi:10.18637/jss.v055.i10>.
Depends: R (>= 4.0), methods
Imports: parallel, utils, markovchain, Rcpp (>= 0.12.18), stats
Suggests: demography, forecast, testthat, knitr, formatR, StMoMo, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyLoad: yes
LazyData: true
BugReports: https://github.com/spedygiorgio/lifecontingencies/issues
BuildVignettes: yes
VignetteBuilder: utils, knitr
URL: https://github.com/spedygiorgio/lifecontingencies
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-06-10 20:43:06 UTC; giorgio
Author: Giorgio Alfredo Spedicato [aut, cre] , Christophe Dutang [ctb] , Reinhold Kainhofer [ctb] , Kevin J Owens [ctb], Ernesto Schirmacher [ctb], Gian Paolo Clemente [ctb] , Ivan Williams [ctb]
Repository: CRAN
Date/Publication: 2022-06-10 22:20:02 UTC

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New package jshintr with initial version 0.1.0
Package: jshintr
Title: Lint 'JavaScript' Files
Version: 0.1.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Allow to run 'jshint' on 'JavaScript' files with a 'R' command or a 'RStudio' addin. The report appears in the 'RStudio' viewer pane.
License: GPL-3
URL: https://github.com/stla/jshintr
BugReports: https://github.com/stla/jshintr/issues
Imports: htmltools, htmlwidgets, rstudioapi, tools
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-10 09:20:00 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Anton Kovalyov [cph]
Repository: CRAN
Date/Publication: 2022-06-10 14:40:02 UTC

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New package taxotools with initial version 0.0.129
Package: taxotools
Title: Tools to Handle Taxonomic Lists
Version: 0.0.129
Date: 2022-06-09
Maintainer: Vijay Barve <vijay.barve@gmail.com>
Description: Tools include matching and merging taxonomic lists, casting and melting scientific names, managing taxonomic lists from GBIF and ITIS, harvesting names from wikipedia and fuzzy matching.
License: CC0
Imports: taxize, wikitaxa, plyr, sqldf, stringr, stringdist, rmarkdown, stringi
Encoding: UTF-8
BugReports: https://github.com/vijaybarve/taxotools/issues
NeedsCompilation: no
Packaged: 2022-06-09 22:47:38 UTC; barve
Author: Vijay Barve [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-10 12:00:02 UTC

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New package shapviz with initial version 0.1.0
Package: shapviz
Title: SHAP Visualizations
Version: 0.1.0
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, and dependence plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', and 'treeshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
License: GPL (>= 2)
Depends: R (>= 3.6.0)
Encoding: UTF-8
Imports: ggbeeswarm, ggfittext (>= 0.8.0), gggenes, ggplot2 (>= 3.0.0), ggrepel, grid, rlang (>= 0.3.0), stats, utils, xgboost
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mayer79/shapviz
BugReports: https://github.com/mayer79/shapviz/issues
NeedsCompilation: no
Packaged: 2022-06-09 15:13:29 UTC; Michael
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-10 09:10:02 UTC

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New package data360r with initial version 1.0.9
Package: data360r
Title: Wrapper for 'TCdata360' and 'Govdata360' API
Version: 1.0.9
Description: Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdata360' platforms at <https://tcdata360.worldbank.org/> and <https://govdata360.worldbank.org/>, respectively. These application program interfaces provide access to over 5000 trade, competitiveness, and governance indicator data, metadata, and related information from sources both inside and outside the World Bank Group. Package functions include easier download of data sets, metadata, and related information, as well as searching based on user-inputted query.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mrpsonglao/data360r
Date: 2022-06-09
Imports: data.table, reshape2, jsonlite, utils
NeedsCompilation: no
Packaged: 2022-06-09 19:14:54 UTC; wb578064
Author: Ramin Aliyev [cre], Ma. Regina Paz Onglao-Drilon [aut], World Bank Group [cph]
Maintainer: Ramin Aliyev <tcdata360@worldbank.org>
Repository: CRAN
Date/Publication: 2022-06-10 09:10:06 UTC

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New package cppcheckR with initial version 1.0.0
Package: cppcheckR
Title: Check 'C' and 'C++' Files using 'Cppcheck'
Version: 1.0.0
Description: Allow to run 'Cppcheck' (<https://cppcheck.sourceforge.io/>) on 'C' and 'C++' files with a 'R' command or a 'RStudio' addin. The report appears in the 'RStudio' viewer pane as a formatted 'HTML' file. It is also possible to get this report with a 'shiny' application. 'Cppcheck' can spot many error types and it can also give some recommendations on the code.
License: GPL-3
URL: https://github.com/stla/cppcheckR
BugReports: https://github.com/stla/cppcheckR/issues
Imports: htmlwidgets, rmarkdown, rstudioapi, shiny, utils, V8, xml2
Suggests: htmltools, shinyAce, shinybusy, shinyFiles, shinyjqui, shinyWidgets
Encoding: UTF-8
SystemRequirements: cppcheck
NeedsCompilation: no
Packaged: 2022-06-09 15:39:47 UTC; SDL96354
Author: Stephane Laurent [aut, cre], Amit Gupta [cph] , luyilin [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2022-06-10 09:10:09 UTC

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New package cbl with initial version 0.1
Package: cbl
Title: Causal Discovery under a Confounder Blanket
Version: 0.1
Description: Methods for learning causal relationships among a set of foreground variables X based on signals from a (potentially much larger) set of background variables Z, which are known non-descendants of X. The confounder blanket learner (CBL) uses sparse regression techniques to simultaneously perform many conditional independence tests, with complementary pairs stability selection to guarantee finite sample error control. CBL is sound and complete with respect to a so-called "lazy oracle", and works with both linear and nonlinear systems. For details, see Watson & Silva (2022) <arXiv:2205.05715>.
License: GPL (>= 3)
URL: https://github.com/dswatson/cbl
Imports: data.table, foreach, glmnet, lightgbm
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-09 13:59:18 UTC; dswatson
Author: David Watson [aut, cre]
Maintainer: David Watson <david.s.watson11@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-06-10 09:10:12 UTC

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New package bnClustOmics with initial version 1.0.9
Package: bnClustOmics
Title: Bayesian Network-Based Clustering of Multi-Omics Data
Version: 1.0.9
Description: Unsupervised Bayesian network-based clustering of multi-omics data. Both binary and continuous data types are allowed as inputs. The package serves a dual purpose: it clusters (patient) samples and learns the multi-omics networks that characterize discovered clusters. Prior network knowledge (e.g., public interaction databases) can be included via blacklisting and penalization matrices. For clustering, the EM algorithm is employed. For structure search at the M-step, the Bayesian approach is used. The output includes membership assignments of samples, cluster-specific MAP networks, and posterior probabilities of all edges in the discovered networks. In addition to likelihood, AIC and BIC scores are returned. They can be used for choosing the number of clusters. References: P. Suter et al. (2021) <doi:10.1101/2021.12.16.473083>, J. Kuipers and P. Suter and G. Moffa (2022) <doi:10.1080/10618600.2021.2020127>, J. Kuipers et al. (2018) <doi:10.1038/s41467-018-06867-x>.
License: GPL-3
Imports: BiDAG, mclust, clue, stats, RBGL, graph, gRbase, RColorBrewer, graphics, plotrix
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-09 18:11:51 UTC; polinasuter
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.suter@bsse.ethz.ch>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-06-10 09:10:15 UTC

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New package scapGNN with initial version 0.1.0
Package: scapGNN
Title: Graph Neural Network-Based Framework for Single Cell Active Pathways and Gene Modules Activity
Version: 0.1.0
Date: 2022-06-7
Author: Xudong Han [aut, cre, cph, dtc], Xujiang Guo [fnd]
Maintainer: Xudong Han <hanxd1217@163.com>
Description: It is a single cell active pathway analysis tool based on the graph neural network (F. Scarselli (2009) <doi:10.1109/TNN.2008.2005605>; Thomas N. Kipf (2017) <arXiv:1609.02907v4>) to construct the gene-cell association network, infer pathway activity scores from different single cell modalities data, integrate multiple modality data on the same cells into one pathway activity score matrix, identify cell phenotype activated gene modules and parse association networks of gene modules under multiple cell phenotype. In addition, abundant visualization programs are provided to display the results.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: ActivePathways, AdaptGauss, coop, igraph, mixtools, reticulate, methods
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-09 08:32:48 UTC; 12859
Repository: CRAN
Date/Publication: 2022-06-10 08:50:02 UTC

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New package rairtable with initial version 0.1.1
Package: rairtable
Title: Efficient Wrapper for the 'Airtable' API
Version: 0.1.1
Maintainer: Matthew Rogers <matthew.rogers09@gmail.com>
Description: Efficient CRUD interface for the 'Airtable' API <https://airtable.com/api>, supporting batch requests and parallel encoding of large data sets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, data.table, tibble, dplyr, cli, crayon, rlang, snow, progress
URL: https://matthewjrogers.github.io/rairtable/
BugReports: https://github.com/matthewjrogers/rairtable/issues
NeedsCompilation: no
Packaged: 2022-06-09 13:39:40 UTC; mattr
Author: Matthew Rogers [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-10 09:00:02 UTC

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New package FORTLS with initial version 1.1.0
Package: FORTLS
Title: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
Version: 1.1.0
Date: 2022-06-08
Author: Juan Alberto Molina-Valero [aut, cph, cre], Adela Martinez-Calvo [aut, com], Juan Gabriel Álvarez-Gonzalez [aut, ths], Fernando Montes [aut], Cesar Perez-Cruzado [aut, ths]
Maintainer: Juan Alberto Molina-Valero <juanalberto.molina.valero@usc.es>
Description: Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Simultaneous Localization and Mapping (SLAM). 'FORTLS' enables (i) detection of trees and estimation of tree-level attributes (e.g. diameters and heights), (ii) estimation of stand-level variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories at stand-level, and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2022, <doi:10.1016/j.envsoft.2022.105337>).
URL: https://github.com/Molina-Valero/FORTLS
BugReports: https://github.com/Molina-Valero/FORTLS/issues
License: GPL-3
Depends: R (>= 3.5.0)
Imports: dbscan, Distance, htmlwidgets, lidR, methods, moments, plotly, progress, raster, Rcpp(>= 1.0.7), RCSF, scales, sf, sp, tidyr, VoxR, vroom
Suggests: devtools, kableExtra, knitr, rmarkdown, testthat
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-09 12:32:55 UTC; JUAN
Repository: CRAN
Date/Publication: 2022-06-10 09:00:05 UTC

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Thu, 09 Jun 2022

New package outerbase with initial version 0.1.0
Package: outerbase
Title: Outer Product Regression
Version: 0.1.0
Date: 2022-06-03
Maintainer: Matthew Plumlee <mplumlee@northwestern.edu>
Description: High-dimensional regression using outer product models. Research on the methods is currently under investigation and published resources will be posted as they are available. As the method is new, the website is the best resource for understanding the principals. Some of the core ideas are based on Plumlee and coauthors' work on analysis of grid-structured experiments described in Plumlee (2014) <doi:10.1080/01621459.2014.900250> and Plumlee, Erickson, Ankenman, Lawrence (2021) <doi:10.1093/biomet/asaa084>. Some additional textbooks for additional information on Gaussian processes are Rasmussen and Williams (2005) <doi:10.7551/mitpress/3206.001.0001> and Gramacy (2022) <doi:10.1201/9780367815493>.
License: MIT + file LICENSE
URL: https://mattplumlee.github.io/outerbase/, https://github.com/MattPlumlee/outerbase/
BugReports: https://github.com/MattPlumlee/outerbase/issues
NeedsCompilation: yes
Imports: methods, Rcpp, utils, stats
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: GNU make
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Packaged: 2022-06-08 16:50:38 UTC; floyd
Author: Matthew Plumlee [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-09 14:10:02 UTC

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New package VMDecomp with initial version 1.0.0
Package: VMDecomp
Title: Variational Mode Decomposition
Version: 1.0.0
Date: 2022-06-08
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
BugReports: https://github.com/mlampros/VMDecomp/issues
URL: https://github.com/mlampros/VMDecomp
Description: 'RcppArmadillo' implementation for the Matlab code of the 'Variational Mode Decomposition' and 'Two-Dimensional Variational Mode Decomposition'. For more information, see (i) 'Variational Mode Decomposition' by K. Dragomiretskiy and D. Zosso in IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 531-544, Feb.1, 2014, <doi:10.1109/TSP.2013.2288675>; (ii) 'Two-Dimensional Variational Mode Decomposition' by Dragomiretskiy, K., Zosso, D. (2015), In: Tai, XC., Bae, E., Chan, T.F., Lysaker, M. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2015. Lecture Notes in Computer Science, vol 8932. Springer, <doi:10.1007/978-3-319-14612-6_15>.
License: GPL-3
Encoding: UTF-8
Copyright: inst/COPYRIGHTS
SystemRequirements: libarmadillo: apt-get install -y libarmadillo-dev (deb), libblas: apt-get install -y libblas-dev (deb), liblapack: apt-get install -y liblapack-dev (deb), libarpack++2: apt-get install -y libarpack++2-dev (deb), gfortran: apt-get install -y gfortran (deb)
Depends: R(>= 3.5.0)
Imports: Rcpp (>= 1.0.8.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: OpenImageR, R.matlab, glue, testthat (>= 3.0.0), rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-08 11:37:39 UTC; lampros
Author: Lampros Mouselimis [aut, cre] , Dominique Zosso [cph] , Konstantin Dragomiretskiy [cph]
Repository: CRAN
Date/Publication: 2022-06-09 13:50:02 UTC

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New package plnr with initial version 2022.6.8
Package: plnr
Title: A System for Planing Analyses
Version: 2022.6.8
Description: A system to plan analyses within the mental model where you have one (or more) datasets and want to run either A) the same function multiple times with different arguments, or B) multiple functions. This is appropriate when you have multiple strata (e.g. locations, age groups) that you want to apply the same function to, or you have multiple variables (e.g. exposures) that you want to apply the same statistical method to, or when you are creating the output for a report and you need multiple different tables or graphs.
License: MIT + file LICENSE
URL: https://docs.sykdomspulsen.no/plnr/, https://github.com/sykdomspulsen-org/plnr
BugReports: https://github.com/sykdomspulsen-org/plnr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: data.table, R6, uuid, foreach, fs, glue, usethis, purrr, utils, digest, stats
Suggests: testthat, knitr, rmarkdown, progressr, ggplot2, readxl, magrittr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-08 09:36:43 UTC; RIWH
Author: Richard Aubrey White [aut, cre] , Folkehelseinstituttet [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>
Repository: CRAN
Date/Publication: 2022-06-09 13:40:02 UTC

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New package wpa with initial version 1.7.0
Package: wpa
Title: Tools for Analysing and Visualising Viva Insights Data
Version: 1.7.0
Description: Opinionated functions that enable easier and faster analysis of Viva Insights data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Viva Insights metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Viva Insights data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.
URL: https://github.com/microsoft/wpa/
BugReports: https://github.com/microsoft/wpa/issues/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.2)
Imports: dplyr, stats, utils, tidyr, tidyselect (>= 1.0.0), magrittr, purrr, reshape2, ggplot2, ggrepel, scales, htmltools, markdown, rmarkdown, networkD3, DT, tidytext, ggraph, igraph, proxy, ggwordcloud, methods, data.table
Suggests: knitr, extrafont, leiden, lifecycle, fst, glue, flexdashboard, lmtest, sandwich
Language: en-US
NeedsCompilation: no
Packaged: 2022-06-06 13:35:25 UTC; martinchan
Author: Martin Chan [aut, cre], Carlos Morales [aut], Mark Powers [ctb], Ainize Cidoncha [ctb], Rosamary Ochoa Vargas [ctb], Tannaz Sattari [ctb], Lucas Hogner [ctb], Jasminder Thind [ctb], Simone Liebal [ctb], Aleksey Ashikhmin [ctb], Ellen Trinklein [ctb], [...truncated...]
Maintainer: Martin Chan <martin.chan@microsoft.com>
Repository: CRAN
Date/Publication: 2022-06-09 11:30:02 UTC

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New package tlrmvnmvt with initial version 1.1.2
Package: tlrmvnmvt
Title: Low-Rank Methods for MVN and MVT Probabilities
Version: 1.1.2
Date: 2022-06-07
Description: Implementation of the classic Genz algorithm and a novel tile-low-rank algorithm for computing relatively high-dimensional multivariate normal (MVN) and Student-t (MVT) probabilities. References used for this package: Foley, James, Andries van Dam, Steven Feiner, and John Hughes. "Computer Graphics: Principle and Practice". Addison-Wesley Publishing Company. Reading, Massachusetts (1987, ISBN:0-201-84840-6 1); Genz, A., "Numerical computation of multivariate normal probabilities," Journal of Computational and Graphical Statistics, 1, 141-149 (1992) <doi:10.1080/10618600.1992.10477010>; Cao, J., Genton, M. G., Keyes, D. E., & Turkiyyah, G. M. "Exploiting Low Rank Covariance Structures for Computing High-Dimensional Normal and Student- t Probabilities," Statistics and Computing, 31.1, 1-16 (2021) <doi:10.1007/s11222-020-09978-y>; Cao, J., Genton, M. G., Keyes, D. E., & Turkiyyah, G. M. "tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student-t Probabilities with Low-Rank Methods in R," Journal of Statistical Software, 101.4, 1-25 (2022) <doi:10.18637/jss.v101.i04>.
License: GPL-2
Depends: R (>= 4.2.0)
Suggests: mvtnorm (>= 1.0.11)
Imports: Rcpp (>= 1.0.8), methods (>= 4.2.0)
LinkingTo: Rcpp (>= 1.0.8), RcppEigen (>= 0.3.3.5.0), BH (>= 1.69.0.1)
NeedsCompilation: yes
Packaged: 2022-06-08 02:11:41 UTC; caoj
Author: Marc Genton [aut], David Keyes [aut], George Turkiyyah [aut], Jian Cao [aut, cre]
Maintainer: Jian Cao <jian.cao@kaust.edu.sa>
Repository: CRAN
Date/Publication: 2022-06-09 09:40:02 UTC

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New package rock with initial version 0.5.5
Package: rock
Title: Reproducible Open Coding Kit
Version: 0.5.5
Maintainer: Gjalt-Jorn Ygram Peters <gjalt-jorn@behaviorchange.eu>
Description: The Reproducible Open Coding Kit ('ROCK', and this package, 'rock') was developed to facilitate reproducible and open coding, specifically geared towards qualitative research methods. Although it is a general-purpose toolkit, three specific applications have been implemented, specifically an interface to the 'rENA' package that implements Epistemic Network Analysis ('ENA'), means to process notes from Cognitive Interviews ('CIs'), and means to work with decentralized construct taxonomies ('DCTs').
BugReports: https://gitlab.com/r-packages/rock/-/issues
URL: https://r-packages.gitlab.io/rock
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Imports: data.tree (>= 0.7.8), dplyr (>= 0.7.8), DiagrammeR (>= 1.0.0), DiagrammeRsvg (>= 0.1), ggplot2 (>= 3.2.0), glue (>= 1.3.0), graphics (>= 3.0.0), htmltools (>= 0.5.0), markdown (>= 1.1), purrr (>= 0.2.5), stats (>= 3.0.0), utils (>= 3.5.0), yaml (>= 2.2.0), yum (>= 0.1.0)
Suggests: covr, googlesheets4, haven (>= 2.4), justifier (>= 0.2), knitr, limonaid, openxlsx (>= 4.2), preregr (>= 0.1.9), rENA (>= 0.1.6), readxl, rmarkdown, rstudioapi, testthat, textreadr, writexl, XLConnect
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-08 20:19:32 UTC; gjalt
Author: Gjalt-Jorn Ygram Peters [aut, cre] , Szilvia Zorgo [ctb]
Repository: CRAN
Date/Publication: 2022-06-09 09:50:02 UTC

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New package multDM with initial version 1.1.4
Package: multDM
Title: Multivariate Version of the Diebold-Mariano Test
Version: 1.1.4
Imports: MTS
Date: 2022-06-09
Author: Krzysztof Drachal [aut, cre]
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>
Description: Allows to perform the multivariate version of the Diebold-Mariano test for equal predictive ability of multiple forecast comparison. Main reference: Mariano, R.S., Preve, D. (2012) <doi:10.1016/j.jeconom.2012.01.014>.
License: GPL-3
LazyData: TRUE
URL: https://CRAN.R-project.org/package=multDM
Note: Research funded by the Polish National Science Centre grant under the contract number DEC-2015/19/N/HS4/00205.
NeedsCompilation: no
Packaged: 2022-06-09 09:24:29 UTC; Krzysiek
Repository: CRAN
Date/Publication: 2022-06-09 09:50:08 UTC

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New package Compind with initial version 2.4
Package: Compind
Title: Composite Indicators Functions
Version: 2.4
Date: 2022-5-24
Author: Francesco Vidoli, Elisa Fusco
Maintainer: Francesco Vidoli <fvidoli@gmail.com>
Description: A collection of functions to calculate Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps, as described in OECD Handbook on constructing composite indicators: methodology and user guide <https://www.oecd.org/els/soc/handbookonconstructingcompositeindicatorsmethodologyanduserguide.htm>, 'Vidoli' and 'Fusco' and 'Mazziotta' <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016) <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge' <doi:10.1016/j.ejor.2016.07.038> and other authors.
Depends: Benchmarking, psych, boot, lpSolve, spdep
Imports: Hmisc, MASS, GPArotation, nonparaeff, smaa, np
License: GPL-3
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2022-06-08 10:50:11 UTC; Fra
Repository: CRAN
Date/Publication: 2022-06-09 09:10:09 UTC

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New package bdvis with initial version 0.2.33
Package: bdvis
Title: Biodiversity Data Visualizations
Version: 0.2.33
Date: 2022-06-08
Maintainer: Vijay Barve <vijay.barve@gmail.com>
Description: Provides a set of functions to create basic visualizations to quickly preview different aspects of biodiversity information such as inventory completeness, extent of coverage (taxonomic, temporal and geographic), gaps and biases. Barve & Otegui (2016) <DOI:10.1093/bioinformatics/btw333>.
License: GPL-3
Encoding: UTF-8
Imports: maps, plotrix, sqldf, plyr, taxize, treemap, ggplot2, lattice, chron, rgdal
Suggests: rinat
BugReports: https://github.com/vijaybarve/bdvis/issues
NeedsCompilation: no
Packaged: 2022-06-09 03:46:53 UTC; barve
Author: Vijay Barve [aut, cre] , Javier Otegui [aut]
Repository: CRAN
Date/Publication: 2022-06-09 09:40:15 UTC

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New package uscoauditlog with initial version 1.0.3
Package: uscoauditlog
Title: United States Copyright Office Product Management Division SR Audit Data Dataset Cleaning Algorithms
Version: 1.0.3
Author: Frederick Liu [aut, cre]
Maintainer: Frederick Liu <sliu85@u.rochester.edu>
Description: Intended to be used by the United States Copyright Office Product Management Division Business Analysts. Include algorithms for the United States Copyright Office Product Management Division SR Audit Data dataset. The algorithm takes in the SR Audit Data excel file and reformat the spreadsheet such that the values and variables fit the format of the online database. Support functions in this package include clean_str(), which cleans instances of variable AUDIT_LOG; clean_data_to_excel(), which cleans and output the reorganized SR Audit Data dataset in excel format; clean_data_to_dataframe(), which cleans and stores the reorganized SR Audit Data data set to a data frame; format_from_excel(), which reads in the outputted excel file from the clean_data_to_excel() function and formats and returns the data as a dictionary that uses FIELD types as keys and NON-FIELD types as the values of those keys. format_from_dataframe(), which reads in the outputted data frame from the clean_data_to_dataframe() function and formats and returns the data as a dictionary that uses FIELD types as keys and NON-FIELD types as the values of those keys; support_function(), which takes in the dictionary outputted either from the format_from_dataframe() or format_from_excel() function and returns the data as a formatted data frame according to the original U.S. Copyright Office SR Audit Data online database. The main function of this package is clean_format_all(), which takes in an excel file and returns the formatted data into a new excel and text file according to the format from the U.S. Copyright Office SR Audit Data online database.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.4.0), stringr, openxlsx, readxl
NeedsCompilation: no
Packaged: 2022-06-07 21:32:46 UTC; frederickliu
Repository: CRAN
Date/Publication: 2022-06-09 08:20:02 UTC

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New package rdaisi with initial version 0.1
Package: rdaisi
Title: R Client for the Daisi Microservice Platform
Description: Connect, execute, and parse results from the Daisi Microservice Platform <https://www.daisi.io/>. The rdaisi client includes a set of functionality that allows remote execution of microservices directly from R. Daisis allow R users to access a wide variety of Python functionality and interact with them natively.
Version: 0.1
License: Apache License (>= 2)
URL: https://www.daisi.io/
Encoding: UTF-8
Imports: reticulate, httr
NeedsCompilation: no
Packaged: 2022-06-07 23:05:23 UTC; erichare
Author: Daisi Technology, Inc. [aut], Jean-Marie Laigle [aut], Eric Hare [aut, cre]
Maintainer: Eric Hare <eric.hare@daisi.io>
Repository: CRAN
Date/Publication: 2022-06-09 08:30:02 UTC

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New package rankrate with initial version 1.0.0
Package: rankrate
Title: Statistical Tools for Preference Learning with Rankings and Ratings
Version: 1.0.0
Description: An implementation of the statistical methodology proposed by Pearce and Erosheva, "A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review" (2022), which at time of release has been accepted in the Journal of Machine Learning Research. The package provides tools for estimating parameters of a Mallows-Binomial model, the first joint statistical preference learning model for rankings and ratings. The package includes functions for simulating rankings and ratings from the model, calculating the density of Mallows-Binomial data, estimating parameters using various exact and approximate algorithms, and for obtaining approximate confidence intervals based on the nonparametric bootstrap.
License: GPL-3
Encoding: UTF-8
Imports: stats, nloptr, gtools, lpSolve
NeedsCompilation: no
Packaged: 2022-06-07 20:54:23 UTC; pearce790
Author: Michael Pearce [aut, cre, cph]
Maintainer: Michael Pearce <pearce790@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-09 08:20:05 UTC

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New package howzatR with initial version 1.0.0
Package: howzatR
Title: Useful Functions for Cricket Analysis
Version: 1.0.0
Description: Helping to calculate cricket specific problems in a tidy & simple manner.
License: MIT + file LICENSE
Imports: magrittr, rlang
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-07 19:40:06 UTC; Luke
Author: Luke Lockley [aut, cre]
Maintainer: Luke Lockley <luke.lockley@btinternet.com>
Repository: CRAN
Date/Publication: 2022-06-09 08:10:12 UTC

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New package gtExtras with initial version 0.4.0
Package: gtExtras
Title: Extending 'gt' for Beautiful HTML Tables
Version: 0.4.0
Description: Provides additional functions for creating beautiful tables with 'gt'. The functions are generally wrappers around boilerplate or adding capabilities that are currently not built into 'gt'.
License: MIT + file LICENSE
URL: https://github.com/jthomasmock/gtExtras, https://jthomasmock.github.io/gtExtras/
BugReports: https://github.com/jthomasmock/gtExtras/issues
Imports: commonmark, dplyr (>= 1.0.8), fontawesome (>= 0.2.2), ggplot2 (>= 3.3.5), glue (>= 1.6.1), gt (>= 0.5), htmltools (>= 0.5.2), paletteer (>= 1.4.0), rlang (>= 1.0.1), scales (>= 1.2.0)
Suggests: base64enc (>= 0.1-3), bitops (>= 1.0.6), checkmate (>= 2.0.0), covr, fs (>= 1.5.2), hms, magrittr (>= 1.5), RColorBrewer, rvest (>= 1.0.0), sass (>= 0.1.1), stringr (>= 1.3.1), svglite (>= 2.1.0), testthat (>= 3.0.0), tibble (>= 3.0.0), tidyr (>= 1.0.0), tidyselect (>= 1.0.0), webshot2 (>= 0.1.0), xml2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-07 18:13:16 UTC; thomasmock
Author: Thomas Mock [aut, cre, cph], Daniel D. Sjoberg [ctb]
Maintainer: Thomas Mock <j.thomasmock@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-09 08:10:15 UTC

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New package gTestsMulti with initial version 0.1.0
Package: gTestsMulti
Title: New Graph-Based Multi-Sample Tests
Version: 0.1.0
Suggests: ade4
Description: New multi-sample tests for testing whether multiple samples are from the same distribution. They work well particularly for high-dimensional data. Song, H. and Chen, H. (2022) <arXiv:2205.13787>.
Author: Hoseung Song [aut, cre], Hao Chen [aut]
Maintainer: Hoseung Song <hosong@ucdavis.edu>
License: GPL (>= 2)
Imports: Matrix, MASS
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-07 20:14:12 UTC; hsong3
Repository: CRAN
Date/Publication: 2022-06-09 08:10:21 UTC

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New package ts2net with initial version 0.1.0
Package: ts2net
Title: From Time Series to Networks
Version: 0.1.0
Description: Transforming one or multiple time series into networks. This package is useful for complex systems modeling, time series data mining, or time series analysis using networks. An introduction to the topic and the descriptions of the methods implemented in this package can be found in Mitchell (2006) <doi:10.1016/j.artint.2006.10.002>, Silva and Zhao (2016) <doi:10.1007/978-3-319-17290-3>, and Silva et al. (2021) <doi:10.1002/widm.1404>.
License: MIT + file LICENSE
URL: https://github.com/lnferreira/ts2net
BugReports: https://github.com/lnferreira/ts2net/issues
Encoding: UTF-8
Depends: R (>= 4.1.0), igraph (>= 1.2.11), parallel, compiler
Imports: dtw (>= 1.22.3), scales (>= 1.1.1), minerva (>= 1.5.10), infotheo (>= 1.2.0), mmpp (>= 0.6), dbscan (>= 1.1.10), zoo (>= 1.8.9), nonlinearTseries (>= 0.2.11), stats, utils
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-06-07 12:34:02 UTC; lnferreira
Author: Leonardo N. Ferreira [aut, cre]
Maintainer: Leonardo N. Ferreira <ferreira@leonardonascimento.com>
Repository: CRAN
Date/Publication: 2022-06-09 07:40:02 UTC

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New package starticles with initial version 0.1.0
Package: starticles
Title: A Generic, Publisher-Independent Template for Writing Scientific Documents in 'rmarkdown'
Version: 0.1.0
Description: Provides a generic, publisher-independent Rmarkdown template for writing scientific papers and reports in Rmarkdown. The template allows for all the basic features of a scientific article, including a title page with author affiliations and footnotes possibly shown in two common formats, multi-language abstracts and keywords, page headers and footers, and the ability to place figures and tables at the end of the output PDF. Smart cross-referencing of figures, tables, equations and sections is provided using the bookdown package. See package README.md for basic package usage.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/dmkaplan2000/starticles
Depends: R (> 3.5.0)
Imports: rmarkdown, bookdown, knitr
Suggests: rticles
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-07 14:39:02 UTC; dmk
Author: David M. Kaplan [aut, cre, cph]
Maintainer: David M. Kaplan <dmkaplan2000@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-09 07:50:02 UTC

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New package restoptr with initial version 1.0.0
Package: restoptr
Title: Ecological Restoration Planning
Version: 1.0.0
Description: Flexible framework for ecological restoration planning. It aims to identify priority areas for restoration efforts using optimization algorithms (based on Justeau-Allaire et al. 2021 <doi:10.1111/1365-2664.13803>). Priority areas can be identified by maximizing landscape indices, such as the effective mesh size (Jaeger 2000 <doi:10.1023/A:1008129329289>), or the integral index of connectivity (Pascual-Hortal & Saura 2006 <doi:10.1007/s10980-006-0013-z>). Additionally, constraints can be used to ensure that priority areas exhibit particular characteristics (e.g., ensure that particular places are not selected for restoration, ensure that priority areas form a single contiguous network). Furthermore, multiple near-optimal solutions can be generated to explore multiple options in restoration planning. The package leverages the 'Choco-solver' software to perform optimization using constraint programming (CP) techniques (<https://choco-solver.org/>).
License: GPL-3
Encoding: UTF-8
Language: en-US
URL: https://dimitri-justeau.github.io/restoptr/
BugReports: https://github.com/dimitri-justeau/restoptr/issues
SystemRequirements: Java (>= 11.0.12)
VignetteBuilder: knitr
Imports: utils, assertthat (>= 0.2.1), magrittr, crayon (>= 1.4.1), methods
Depends: R (>= 4.1.0), terra (>= 1.5-12), rJava (>= 1.0.5), units (>= 0.8-0)
Suggests: testthat (>= 2.0.1), knitr (>= 1.2.0), roxygen2 (>= 6.1.1), rmarkdown (>= 1.10), landscapemetrics (>= 1.5.4), raster (>= 3.5), rgdal, vegan (>= 2.5.7), cluster (>= 2.1.2)
NeedsCompilation: no
Packaged: 2022-06-07 12:08:33 UTC; djusteau
Author: Dimitri Justeau-Allaire [aut, cre] , Jeffrey O Hanson [aut] , Ghislain Vieilledent [aut] , Philippe Vismara [aut], Xavier Lorca [aut], Philippe Birnbaum [aut]
Maintainer: Dimitri Justeau-Allaire <dimitri.justeau@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-09 07:40:06 UTC

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New package grPipe with initial version 0.1.0
Package: grPipe
Title: Graphviz Pipeline Plot Based on Grids (grPipe: Graphviz Pipeline)
Version: 0.1.0
Description: Create a grid-based graphviz using the following functions: 1 - Creating the data.frame where the nodes are; 2 - Adding and editing nodes; 3 - Plotting these nodes.
License: GPL (>= 3)
Encoding: UTF-8
Imports: DiagrammeR, DiagrammeRsvg, dplyr, magrittr, rsvg, png, grid
NeedsCompilation: no
Packaged: 2022-06-07 14:28:46 UTC; daniel
Author: Daniel Gaspar Goncalves [aut, cre]
Maintainer: Daniel Gaspar Goncalves <daniel.gaspar.goncalves@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-09 07:50:05 UTC

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New package ggpie with initial version 0.2.1
Package: ggpie
Title: Pie, Donut and Rose Pie Plots
Version: 0.2.1
Maintainer: Yabing Song <songyb0519@gmail.com>
Description: Create pie, donut and rose pie plot with 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, grDevices, RColorBrewer, scales, tibble, ggnewscale, ggplot2, ggrepel, magrittr, rlang, utils, cowplot
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-07 13:39:53 UTC; syb
Author: Yabing Song [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-09 07:40:18 UTC

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New package CRTConjoint with initial version 0.1.0
Package: CRTConjoint
Title: Conditional Randomization Testing (CRT) Approach for Conjoint Analysis
Version: 0.1.0
Maintainer: Dae Woong Ham <daewoongham@g.harvard.edu>
Description: Computes p-value according to the CRT using the HierNet test statistic. For more details, see Ham, Imai, Janson (2022) "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" <arXiv:2201.08343>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: utils, methods, doSNOW, foreach, Rcpp, snow
Depends: R (>= 2.10)
LazyData: true
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/daewoongham97/CRTConjoint
BugReports: https://github.com/daewoongham97/CRTConjoint/issues
Copyright: (c) 2022 Dae Woong Ham. Code in helper_hierNet.R, hierNet.c, and hierNet_init.c are taken (with explicit permission) from (c) 2020 Jacob Bien.
NeedsCompilation: yes
Packaged: 2022-06-07 16:16:29 UTC; Ham
Author: Dae Woong Ham [aut, cre], Kosuke Imai [aut], Lucas Janson [aut], Jacob Bien [ctb, cph]
Repository: CRAN
Date/Publication: 2022-06-09 08:00:05 UTC

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New package aspline with initial version 0.2.0
Package: aspline
Title: Spline Regression with Adaptive Knot Selection
Version: 0.2.0
Maintainer: Vivien Goepp <vivien.goepp@gmail.com>
Description: Perform one-dimensional spline regression with automatic knot selection. This package uses a penalized approach to select the most relevant knots. B-splines of any degree can be fitted. More details in 'Goepp et al. (2018)', "Spline Regression with Automatic Knot Selection", <arXiv:1808.01770>.
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/goepp/aspline
BugReports: https://github.com/goepp/aspline/issues
Imports: magrittr, ggplot2, dplyr, tidyr, splines2, Rcpp, mgcv, rlang
LinkingTo: Rcpp
Suggests: knitr, markdown, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-06-07 16:37:29 UTC; vivien
Author: Vivien Goepp [aut, cre] , Gregory Nuel [aut]
Repository: CRAN
Date/Publication: 2022-06-09 08:00:02 UTC

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Wed, 08 Jun 2022

New package xpose.nlmixr2 with initial version 0.4.0
Package: xpose.nlmixr2
Title: Graphical Diagnostics for Pharmacometric Models: Extension to 'nlmixr2'
Version: 0.4.0
Maintainer: Justin Wilkins <justin.wilkins@occams.com>
Description: Extension to 'xpose' to support 'nlmixr2'. Provides functions to import 'nlmixr2' fit data into an 'xpose' data object, allowing the use of 'xpose' for 'nlmixr2' model diagnostics.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.2), xpose (>= 0.4.2)
Imports: ggplot2 (>= 2.2.1), dplyr (>= 0.7.4), tibble (>= 2.0.0), stringr (>= 1.2.0), tidyr (>= 0.7.2), magrittr (>= 1.5), methods (>= 3.4.1), vpc (>= 1.0.2), crayon, rlang, nlmixr2est
Suggests: readr, nlmixr2
NeedsCompilation: no
Packaged: 2022-06-07 07:39:24 UTC; justi
Author: Justin Wilkins [aut, cre, cph], Matthew Fidler [aut, cph], Benjamin Guiastrennec [aut], Andrew C. Hooker [aut], Anna Olofsson [aut, cph], Sebastian Ueckert [aut], Ron Keizer [aut], Kajsa Harling [ctb], Mike K. Smith [ctb], Elodie Plan [ctb], Mats O. [...truncated...]
Repository: CRAN
Date/Publication: 2022-06-08 09:10:02 UTC

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New package sketching with initial version 0.1.0
Package: sketching
Title: Sketching of Data via Random Subspace Embeddings
Version: 0.1.0
Description: Construct sketches of data via random subspace embeddings. For more details, see the following papers. Lee, S. and Ng, S. (2022). "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," <arXiv:2007.07781>, accepted for presentation at the Thirty-ninth International Conference on Machine Learning (ICML 2022). Lee, S. and Ng, S. (2020). "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, 12(1): 45–80.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, MASS, Rcpp (>= 1.0.7), phangorn (>= 2.8.1)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), lmtest (>= 0.9), ivreg (>= 0.6), sandwich (>= 3.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://github.com/sokbae/sketching/
BugReports: https://github.com/sokbae/sketching/issues
NeedsCompilation: yes
Packaged: 2022-06-07 09:41:35 UTC; sokbaelee
Author: Sokbae Lee [aut, cre], Serena Ng [aut]
Maintainer: Sokbae Lee <sl3841@columbia.edu>
Repository: CRAN
Date/Publication: 2022-06-08 09:20:02 UTC

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New package PNAR with initial version 1.0
Package: PNAR
Title: Poisson Network Autoregressive Models
Version: 1.0
Date: 2022-06-04
Author: Michail Tsagris [aut, cre], Mirko Armillotta [aut, cph], Konstantinos Fokianos [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Description: Quasi likelihood-based methods for estimating Poisson Network Autoregression with p lags, PNAR, following generalized linear models are provided. PNAR models with the identity and with the logarithmic link function are allowed. The inclusion of exogenous covariates is also possible. Moreover, it provides tools for testing the linearity of linear PNAR model versus several nonlinear alternatives. Finally, it allows generating multivariate count distributions, from linear and nonlinear PNAR models, where the dependence between Poisson random variables is generated by suitable copulas. References include: Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression. <arXiv:2104.06296>. Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. <arXiv:2202.03852>.
Depends: R (>= 4.0)
Imports: doParallel, foreach, igraph, nloptr, parallel, Rfast, Rfast2, stats
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-07 10:33:19 UTC; Michail
Repository: CRAN
Date/Publication: 2022-06-08 09:20:05 UTC

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New package klassR with initial version 0.1.11
Package: klassR
Title: Classifications and Codelists for Statistics Norway
Version: 0.1.11
Author: Susie Jentoft, Lisa Li, Diana-Cristina Iancu
Maintainer: Susie Jentoft <susie.jentoft@ssb.no>
Description: Functions to search, retrieve and apply classifications and codelists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Imports: tm, httr, jsonlite
BugReports: https://github.com/statisticsnorway/klassR/issues
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0),
NeedsCompilation: no
Packaged: 2022-06-07 07:10:20 UTC; coo
Repository: CRAN
Date/Publication: 2022-06-08 09:00:02 UTC

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New package holiglm with initial version 0.2
Package: holiglm
Title: Holistic Generalized Linear Models
Version: 0.2
Description: Holistic generalized linear models (HGLMs) extend generalized linear models (GLMs) by enabling the possibility to add further constraints to the model. The 'holiglm' package simplifies estimating HGLMs using convex optimization.
Depends: R (>= 3.5.0), ROI.plugin.ecos
Imports: slam, checkmate, MASS, SuppDists, ROI (>= 0.3-0)
Suggests: ROI.plugin.mosek, ROI.plugin.scs, tinytest (>= 1.0.0)
License: GPL-3
URL: https://arxiv.org/abs/2205.15447
Additional_repositories: https://ben-schwen.github.io/drat/
NeedsCompilation: no
Packaged: 2022-06-06 08:55:40 UTC; bschwendinger
Author: Benjamin Schwendinger [aut, cre], Florian Schwendinger [aut], Laura Vana [aut]
Maintainer: Benjamin Schwendinger <benjaminschwe@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-08 08:20:02 UTC

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New package glossr with initial version 0.5.1
Package: glossr
Title: Use Interlinear Glosses in R Markdown
Version: 0.5.1
Description: Read examples with interlinear glosses from files or from text and print them in a way compatible with both Latex and HTML outputs.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: tibble, dplyr, knitr, magrittr, purrr, rlang, stringr, flextable, tidyr
VignetteBuilder: knitr
Suggests: bookdown, officedown, testthat, rmarkdown, officer, htmltools
Depends: R (>= 2.10)
URL: https://montesmariana.github.io/glossr/, https://github.com/montesmariana/glossr
Language: en-GB
NeedsCompilation: no
Packaged: 2022-06-07 07:20:17 UTC; u0118974
Author: Mariana Montes [aut, cre] , Benjamin Chauvette [cph]
Maintainer: Mariana Montes <montesmariana@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-08 09:00:05 UTC

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Tue, 07 Jun 2022

New package chronochrt with initial version 0.1.1
Package: chronochrt
Title: Creating Chronological Charts
Version: 0.1.1
Date: 2022-06-07
Description: Easy way to draw chronological charts from tables, aiming to include an intuitive environment for anyone new to R. Includes 'ggplot2' geoms and theme for chronological charts.
Language: en-GB
License: GPL-3
URL: https://gitlab.com/archaeothommy/chronochrt
BugReports: https://gitlab.com/archaeothommy/chronochrt/-/issues
Imports: dplyr (>= 1.0.0), ggplot2, grid, magick, magrittr, readr, tibble, tidyr, rlang, tidyselect
Suggests: readxl, testthat, knitr, rmarkdown, covr, vdiffr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-07 17:39:56 UTC; Thomas Rose
Author: Thomas Rose [aut, cre] , Chiara Girotto [aut]
Maintainer: Thomas Rose <thomas.rose@daad-alumni.de>
Repository: CRAN
Date/Publication: 2022-06-07 21:40:05 UTC

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New package htm2txt with initial version 2.2.1
Package: htm2txt
Title: Convert Html into Text
Version: 2.2.1
Author: Sangchul Park [aut, cre]
Maintainer: Sangchul Park <mail@sangchul.com>
Description: Convert a html document to plain texts by stripping off all html tags.
License: GPL (>= 2)
URL: https://github.com/replicable/htm2txt
BugReports: https://github.com/replicable/htm2txt/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-07 15:22:15 UTC; mail
Repository: CRAN
Date/Publication: 2022-06-07 20:50:15 UTC

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New package cptec with initial version 0.1.1
Package: cptec
Title: An Interface to the 'CPTEC/INPE' API
Version: 0.1.1
Maintainer: Renato Prado Siqueira <rpradosiqueira@gmail.com>
Description: Allows to retrieve data from the 'CPTEC/INPE' weather forecast API. 'CPTEC' stands for 'Centro de Previsão de Tempo e Estudos Climáticos' and 'INPE' for 'Instituto Nacional de Pesquisas Espaciais'. 'CPTEC' is the most advanced numerical weather and climate forecasting center in Latin America, with high-precision short and medium-term weather forecasting since the beginning of 1995. See <https://www.cptec.inpe.br/> for more information.
Depends: R (>= 3.2.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/rpradosiqueira/cptec
BugReports: https://github.com/rpradosiqueira/cptec/issues
Imports: magrittr, rvest, xml2,
Suggests: knitr
NeedsCompilation: no
Packaged: 2022-06-07 18:49:23 UTC; rprado
Author: Renato Prado Siqueira [aut, cre]
Repository: CRAN
Date/Publication: 2022-06-07 20:40:13 UTC

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New package TKCat with initial version 1.0.3
Package: TKCat
Title: Tailored Knowledge Catalog
Version: 1.0.3
Description: Facilitate the management of data from knowledge resources that are frequently used alone or together in research environments. In 'TKCat', knowledge resources are manipulated as modeled database (MDB) objects. These objects provide access to the data tables along with a general description of the resource and a detail data model documenting the tables, their fields and their relationships. These MDBs are then gathered in catalogs that can be easily explored an shared. Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and create new catalogs suited for specific needs.
URL: https://github.com/patzaw/TKCat
BugReports: https://github.com/patzaw/TKCat/issues
Depends: R (>= 3.6), ReDaMoR (>= 0.6.0), magrittr, DBI, dplyr
Imports: ClickHouseHTTP, rlang, tidyselect, visNetwork, getPass, shiny, shinydashboard, DT, htmltools, readr, jsonlite, jsonvalidate (>= 1.3.2), base64enc, markdown, promises, future, xml2, Matrix, uuid
Suggests: knitr, rmarkdown, stringr, RClickhouse, data.tree, BED
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-07 07:27:06 UTC; pgodard
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-07 14:00:14 UTC

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New package plotKML with initial version 0.8-3
Package: plotKML
Version: 0.8-3
Date: 2022-06-05
Title: Visualization of Spatial and Spatio-Temporal Objects in Google Earth
Author: Tomislav Hengl [cre, aut], Andrea Gilardi [ctb], Pierre Roudier [ctb], Dylan Beaudette [ctb], Edzer Pebesma [ctb], Michael Blaschek [ctb]
Maintainer: Tomislav Hengl <tom.hengl@opengeohub.org>
Depends: R (>= 3.5.0)
Imports: methods, tools, gstat, colorRamps, pixmap, utils, XML, dismo, sp, raster, rgdal, aqp, spacetime, colorspace, plyr, stringr, scales, zoo, RColorBrewer, classInt, sf, stars
Suggests: RSAGA, plotrix, adehabitatLT, maptools, fossil, rjson, animation, spatstat, spatstat.linnet, spatstat.geom, RCurl, rgbif, Hmisc, uuid, R.utils, intervals, reshape, snowfall, parallel, testthat
Description: Writes spatial-class, spacetime-class, raster-class and similar spatial and spatiotemporal objects to KML following some basic cartographic rules.
License: GPL
URL: https://github.com/Envirometrix/plotKML
LazyLoad: yes
NeedsCompilation: no
Packaged: 2022-06-07 07:42:10 UTC; tomhe
Repository: CRAN
Date/Publication: 2022-06-07 14:00:02 UTC

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New package latentcor with initial version 1.2.1
Package: latentcor
Title: Fast Computation of Latent Correlations for Mixed Data
Version: 1.2.1
Maintainer: Mingze Huang <mingzehuang@gmail.com>
Description: The first stand-alone R package for computation of latent correlation that takes into account all variable types (continuous/binary/ordinal/zero-inflated), comes with an optimized memory footprint, and is computationally efficient, essentially making latent correlation estimation almost as fast as rank-based correlation estimation. The estimation is based on latent copula Gaussian models. For continuous/binary types, see Fan, J., Liu, H., Ning, Y., and Zou, H. (2017) <doi:10.1111/rssb.12168>. For ternary type, see Quan X., Booth J.G. and Wells M.T. (2018) <arXiv:1809.06255>. For truncated type or zero-inflated type, see Yoon G., Carroll R.J. and Gaynanova I. (2020) <doi:10.1093/biomet/asaa007>. For approximation method of computation, see Yoon G., Müller C.L. and Gaynanova I. (2021) <doi:10.1080/10618600.2021.1882468>.
Depends: R (>= 3.0.0)
Imports: stats, pcaPP, fMultivar, mnormt, Matrix, MASS, heatmaply, ggplot2, plotly, graphics
License: GPL-3
Encoding: UTF-8
Suggests: microbenchmark, rmarkdown, markdown, knitr, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-06-05 17:19:55 UTC; mingz
Author: Mingze Huang [aut, cre] , Grace Yoon [aut] , Christian Müller [aut] , Irina Gaynanova [aut]
Repository: CRAN
Date/Publication: 2022-06-07 14:00:07 UTC

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New package xaringanExtra with initial version 0.6.0
Package: xaringanExtra
Title: Extras and Extensions for 'xaringan' Slides
Version: 0.6.0
Description: Extras and extensions for 'xaringan' slides. Navigate your slides with tile view. Make your slides editable, live! Announce slide changes with subtle tones. Animate slide transitions with 'animate.css'. Add tabbed panels to slides with 'panelset'. Use the 'Tachyons CSS' utility toolkit for rapid slide development. Scribble on your slides. Add a copy button to your code chunks with 'clipboard'. Add a logo or top or bottom banner to every slide. Broadcast slides to stay in sync with remote viewers. Include yourself in your slides with 'webcam'. Plus a whole lot more!
License: MIT + file LICENSE
URL: https://pkg.garrickadenbuie.com/xaringanExtra/, https://github.com/gadenbuie/xaringanExtra
BugReports: https://github.com/gadenbuie/xaringanExtra/issues
Imports: htmltools, jsonlite, knitr, utils, uuid
Suggests: callr, rmarkdown, testthat (>= 2.1.0), xaringan
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-05 18:13:53 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Matthew T. Warkentin [aut] , Yotam Mann [cph] , Daniel Eden [cph] , Tachyons authors [cph], Klaus Hartl, Fagner Brack, GitHub Contributors [cph] , Chris Andrejewski [cph] , Eric Londaits [cph] , Zeno Rocha [cph] , Nikit [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2022-06-07 08:30:02 UTC

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