Mon, 29 Nov 2021

Package ftrCOOL updated to version 2.0.0 with previous version 1.1.2 dated 2021-01-19

Title: Feature Extraction from Biological Sequences
Description: Extracts features from biological sequences. It contains most features which are presented in related work and also includes features which have never been introduced before. It extracts numerous features from nucleotide and peptide sequences. Each feature converts the input sequences to discrete numbers in order to use them as predictors in machine learning models. There are many features and information which are hidden inside a sequence. Utilizing the package, users can convert biological sequences to discrete models based on chosen properties. References: 'iLearn' 'Z. Chen et al.' (2019) <DOI:10.1093/bib/bbz041>. 'iFeature' 'Z. Chen et al.' (2018) <DOI:10.1093/bioinformatics/bty140>. <https://CRAN.R-project.org/package=rDNAse>. 'PseKRAAC' 'Y. Zuo et al.' 'PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition' (2017) <DOI:10.1093/bioinformatics/btw564>. 'iDNA6mA-PseKNC' 'P. Feng et al.' 'iDNA6mA-PseKNC: Identifying DNA N6-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC' (2019) <DOI:10.1016/j.ygeno.2018.01.005>. 'I. Dubchak et al.' 'Prediction of protein folding class using global description of amino acid sequence' (1995) <DOI:10.1073/pnas.92.19.8700>. 'W. Chen et al.' 'Identification and analysis of the N6-methyladenosine in the Saccharomyces cerevisiae transcriptome' (2015) <DOI:10.1038/srep13859>.
Author: Sare Amerifar
Maintainer: Sare Amerifar <sare.ameri.01@gmail.com>

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More information about ftrCOOL at CRAN
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Package CIMTx updated to version 1.1.0 with previous version 1.0.0 dated 2021-10-20

Title: Causal Inference for Multiple Treatments with a Binary Outcome
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>.
Author: Liangyuan Hu [aut], Chenyang Gu [aut], Michael Lopez [aut], Jiayi Ji [aut, cre]
Maintainer: Jiayi Ji <Jiayi.Ji@mountsinai.org>

Diff between CIMTx versions 1.0.0 dated 2021-10-20 and 1.1.0 dated 2021-11-29

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Package emmeans updated to version 1.7.1-1 with previous version 1.7.0 dated 2021-09-29

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Paul Buerkner [ctb], Maxime Herve [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

Diff between emmeans versions 1.7.0 dated 2021-09-29 and 1.7.1-1 dated 2021-11-29

 DESCRIPTION                        |   10 +-
 MD5                                |   88 ++++++++++----------
 NEWS.md                            |   20 ++++
 R/0nly-internal.R                  |   13 ++
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 README.md                          |   45 +++++++---
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 tests/testthat/test-emmeans.R      |    1 
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New package dagwood with initial version 0.1.3
Package: dagwood
Title: DAGs with Omitted Objects Displayed (DAGWOOD)
Version: 0.1.3
Description: DAGs With Omitted Objects Displayed (DAGWOOD) is a framework to help reveal key hidden assumptions in a causal DAG. This package provides an implementation of the DAGWOOD algorithm. Further description can be found in the preprint on Haber et al (2021) <arXiv:2004.04251>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dagitty
Suggests: ggdag
NeedsCompilation: no
Packaged: 2021-11-28 22:08:24 UTC; noahh
Author: Noah Haber [aut, cre] (<https://orcid.org/0000-0002-5672-1769>)
Maintainer: Noah Haber <noahhaber@stanford.edu>
Repository: CRAN
Date/Publication: 2021-11-29 20:10:02 UTC

More information about dagwood at CRAN
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New package cml with initial version 0.0.1
Package: cml
Title: Conditional Manifold Learning
Version: 0.0.1
Author: Anh Tuan Bui [aut, cre]
Maintainer: Anh Bui <atbui@u.northwestern.edu>
Depends: vegan, MASS
Description: Find a low-dimensional embedding of high-dimensional data, conditioning on auxiliary manifold information. The current version supports conditional MDS and conditional ISOMAP.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-11-29 02:26:39 UTC; buiat2
Repository: CRAN
Date/Publication: 2021-11-29 20:10:04 UTC

More information about cml at CRAN
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New package canadamaps with initial version 0.1
Package: canadamaps
Title: Maps of the Political and Administrative Divisions of Canada
Version: 0.1
URL: https://github.com/pachadotdev/canadamaps/
BugReports: https://github.com/pachadotdev/canadamaps/issues
Description: Terrestrial maps with simplified topologies for Census Divisions, Agricultural Regions, Economic Regions, Federal Electoral Divisions and Provinces.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5.0), sf
Imports: rmapshaper, dplyr, magrittr, rlang
Suggests: knitr, rmarkdown, ggplot2, testthat
NeedsCompilation: no
Packaged: 2021-11-29 03:16:23 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre], Statistics Canada [dtc]
Maintainer: Mauricio Vargas Sepulveda <mv.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2021-11-29 20:10:07 UTC

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New package binancer with initial version 1.2.0
Package: binancer
Title: API Client to 'Binance'
Version: 1.2.0
Date: 2021-11-26
Encoding: UTF-8
Description: R client to the 'Binance' Public Rest API for data collection on cryptocurrencies, portfolio management and trading: <https://github.com/binance/binance-spot-api-docs/blob/master/rest-api.md>.
License: AGPL
Imports: data.table, httr, digest, snakecase, logger, jsonlite
URL: https://daroczig.github.io/binancer/
NeedsCompilation: no
Packaged: 2021-11-29 08:46:27 UTC; daroczig
Author: Gergely Daróczi [aut, cre], David Andel [aut]
Maintainer: Gergely Daróczi <daroczig@rapporter.net>
Repository: CRAN
Date/Publication: 2021-11-29 20:10:09 UTC

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New package simulariatools with initial version 2.4.0
Package: simulariatools
Title: Simularia Tools for the Analysis of Air Pollution Data
Version: 2.4.0
Maintainer: Giuseppe Carlino <g.carlino@simularia.it>
Description: A set of tools developed at Simularia for Simularia, to help preprocessing and post-processing of meteorological and air quality data.
Depends: R (>= 3.3)
Imports: ggplot2 (>= 3.3), dplyr, grid, lubridate, openair, png, raster, reshape2, reticulate, RColorBrewer, scales
Suggests: magick, contoureR, testthat (>= 3.0.0)
License: GPL (>= 2)
URL: https://github.com/Simularia/simulariatools
BugReports: https://github.com/Simularia/simulariatools/issues
LazyLoad: yes
LazyData: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-11-28 17:18:07 UTC; beps
Author: Giuseppe Carlino [aut, cre], Matteo Paolo Costa [ctb], Simularia [fnd]
Repository: CRAN
Date/Publication: 2021-11-29 20:00:02 UTC

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New package rnmamod with initial version 0.1.0
Package: rnmamod
Title: Bayesian Network Meta-Analysis with Missing Participants
Version: 0.1.0
Maintainer: Loukia Spineli <Spineli.Loukia@mh-hannover.de>
Description: A comprehensive suite of functions to perform and visualise pairwise and network meta-analysis with aggregate binary or continuous missing participant outcome data. The package covers core Bayesian one-stage models implemented in a systematic review with multiple interventions, including fixed-effect and random-effects network meta-analysis, meta-regression, evaluation of the consistency assumption via the node-splitting approach and the unrelated mean effects model, and sensitivity analysis. Missing participant outcome data are addressed in all models of the package. The package also offers a rich, user-friendly visualisation toolkit that aids in appraising and interpreting the results thoroughly and preparing the manuscript for journal submission. The visualisation tools comprise the network plot, forest plots, panel of diagnostic plots, heatmaps on the extent of missing participant outcome data in the network, league heatmaps on estimation and prediction, rankograms, Bland-Altman plot, leverage plot, deviance scatterplot, heatmap of robustness, and barplot of Kullback-Leibler divergence. The package also allows the user to export the results to an Excel file at the working directory.
License: GPL (>= 3)
URL: https://github.com/LoukiaSpin/rnmamod
Depends: R (>= 4.0.0)
Imports: coda, dplyr, fdrtool, gemtc, ggfittext, ggplot2, ggpubr, ggrepel, knitr, MASS, mcmcplots, netmeta, pcnetmeta, R2jags, reshape2, scales, stats, utils, writexl
Suggests: rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2021-11-28 14:47:01 UTC; Loukia
Author: Loukia Spineli [aut, cre], Chrysostomos Kalyvas [ctb], Katerina Papadimitropoulou [ctb]
Repository: CRAN
Date/Publication: 2021-11-29 20:00:08 UTC

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Package sergeant updated to version 0.9.1 with previous version 0.9.0 dated 2020-06-01

Title: Tools to Transform and Query Data with Apache Drill
Description: Apache Drill is a low-latency distributed query engine designed to enable data exploration and analysis on both relational and non-relational data stores, scaling to petabytes of data. Methods are provided that enable working with Apache Drill instances via the REST API, DBI methods and using 'dplyr'/'dbplyr' idioms. Helper functions are included to facilitate using official Drill Docker images/containers.
Author: Bob Rudis [aut, cre] (<https://orcid.org/0000-0001-5670-2640>), Edward Visel [ctb], Andy Hine [ctb], Scott Came [ctb], David Severski [ctb] (<https://orcid.org/0000-0001-7867-0459>), James Lamb [ctb]
Maintainer: Bob Rudis <bob@rud.is>

Diff between sergeant versions 0.9.0 dated 2020-06-01 and 0.9.1 dated 2021-11-29

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More information about sergeant at CRAN
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Package RAQSAPI updated to version 2.0.2 with previous version 2.0.1 dated 2021-03-31

Title: A Simple Interface to the US EPA Air Quality System Data Mart API
Description: Retrieve air monitoring data and associated metadata from the US Environmental Protection Agency's Air Quality System service using functions. See <https://aqs.epa.gov/aqsweb/documents/data_api.html> for details about the US EPA Data Mart API.
Author: Clinton Mccrowey [cre, aut] (United States Enviornmental Protection Agency Region 3 Air and Radiation Division), Timothy Sharac [ctb, rev] (United States Enviornmental Protection Agency), Nick Mangus [rev] (United States Enviornmental Protection Agency), Doug Jager [ctb, rev] (United States Enviornmental Protection Agency), Ryan Brown [ctb, rev] (United States Enviornmental Protection Agency), Daniel Garver [ctb, rev] (United States Enviornmental Protection Agency), Benjamin Wells [ctb, rev] (United States Enviornmental Protection Agency), Hayley Brittingham [crr, ctr] (Neptune and Company)
Maintainer: Clinton Mccrowey <mccrowey.clinton@epa.gov>

Diff between RAQSAPI versions 2.0.1 dated 2021-03-31 and 2.0.2 dated 2021-11-29

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Package pkgdepends updated to version 0.2.0 with previous version 0.1.2 dated 2021-06-30

Title: Package Dependency Resolution and Downloads
Description: Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain a consistent set of packages to install. Download packages, and install them. It supports packages on 'CRAN', 'Bioconductor' and other 'CRAN-like' repositories, 'GitHub', package 'URLs', and local package trees and files. It caches metadata and package files via the 'pkgcache' package, and performs all 'HTTP' requests, downloads, builds and installations in parallel. 'pkgdepends' is the workhorse of the 'pak' package.
Author: Gábor Csárdi
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package meteoland updated to version 1.0.1 with previous version 0.9.7 dated 2020-10-27

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Cáceres [aut, cre], Nicolas Martin [aut], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

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Package diagis updated to version 0.2.2 with previous version 0.2.1 dated 2021-11-16

Title: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Description: Fast functions for effective sample size, weighted multivariate mean, variance, and quantile computation, and weight diagnostic plot for generic importance sampling type or other probability weighted samples.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package ChineseNames updated to version 1.1.1 with previous version 1.1.0 dated 2021-06-21

Title: Chinese Name Database 1930-2008
Description: A database of Chinese surnames and Chinese given names (1930-2008). This database contains nationwide frequency statistics of 1,806 Chinese surnames and 2,614 Chinese characters used in given names, covering about 1.2 billion Han Chinese population (96.8% of the Han Chinese household-registered population born from 1930 to 2008 and still alive in 2008). This package also contains a function for computing multiple features of Chinese surnames and Chinese given names for scientific research (e.g., name uniqueness, name gender, name valence, and name warmth/competence).
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>

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Package RCzechia (with last version 1.8.3) was removed from CRAN

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

2021-09-02 1.8.3
2021-07-21 1.8.2
2021-06-04 1.7.2
2021-04-11 1.7.0
2021-03-03 1.6.7
2021-02-17 1.6.6
2021-01-07 1.6.3
2021-01-04 1.6.2
2020-10-30 1.6.1
2020-10-19 1.6.0
2020-08-26 1.5.3
2020-07-17 1.5.1
2020-05-04 1.5.0
2020-04-11 1.4.6
2020-01-19 1.4.5
2019-10-27 1.4.3
2019-08-20 1.4.2
2019-07-01 1.4.1
2019-04-05 1.4.0
2019-03-06 1.3.3
2019-01-04 1.3.2
2018-10-30 1.3.1
2018-08-07 1.3.0
2018-06-21 1.2.6
2018-06-18 1.2.5
2018-05-11 1.2.4
2018-04-03 1.2.3
2018-03-05 1.1.1

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Package credentials updated to version 1.3.2 with previous version 1.3.1 dated 2021-07-25

Title: Tools for Managing SSH and Git Credentials
Description: Setup and retrieve HTTPS and SSH credentials for use with 'git' and other services. For HTTPS remotes the package interfaces the 'git-credential' utility which 'git' uses to store HTTP usernames and passwords. For SSH remotes we provide convenient functions to find or generate appropriate SSH keys. The package both helps the user to setup a local git installation, and also provides a back-end for git/ssh client libraries to authenticate with existing user credentials.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package nfer updated to version 1.0.1 with previous version 1.0.0 dated 2021-11-23

Title: Event Stream Abstraction using Interval Logic
Description: This is the R API for the 'nfer' formalism (<http://nfer.io/>). 'nfer' was developed to specify event stream abstractions for spacecraft telemetry such as the Mars Science Laboratory. Users write rules using a syntax that borrows heavily from Allen's Temporal Logic that, when applied to an event stream, construct a hierarchy of temporal intervals with data. The R API supports loading rules from a file or mining them from historical data. Traces of events or pools of intervals are provided as data frames.
Author: Sean Kauffman [aut, cre] (<https://orcid.org/0000-0001-6341-3898>)
Maintainer: Sean Kauffman <seank@cs.aau.dk>

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Package gwasrapidd updated to version 0.99.12 with previous version 0.99.11 dated 2021-11-23

Title: 'REST' 'API' Client for the 'NHGRI'-'EBI' 'GWAS' Catalog
Description: 'GWAS' R 'API' Data Download. This package provides easy access to the 'NHGRI'-'EBI' 'GWAS' Catalog data by accessing the 'REST' 'API' <https://www.ebi.ac.uk/gwas/rest/docs/api/>.
Author: Ramiro Magno [aut, cre] (<https://orcid.org/0000-0001-5226-3441>), Ana-Teresa Maia [aut] (<https://orcid.org/0000-0002-0454-9207>), CINTESIS [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>

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Package factorstochvol updated to version 1.0.0 with previous version 0.10.2 dated 2021-02-09

Title: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models
Description: Markov chain Monte Carlo (MCMC) sampler for fully Bayesian estimation of latent factor stochastic volatility models with interweaving <doi:10.1080/10618600.2017.1322091>. Sparsity can be achieved through the usage of Normal-Gamma priors on the factor loading matrix <doi:10.1016/j.jeconom.2018.11.007>.
Author: Gregor Kastner [aut, cre] (<https://orcid.org/0000-0002-8237-8271>), Darjus Hosszejni [ctb] (<https://orcid.org/0000-0002-3803-691X>), Luis Gruber [ctb] (<https://orcid.org/0000-0002-2399-738X>)
Maintainer: Gregor Kastner <gregor.kastner@aau.at>

Diff between factorstochvol versions 0.10.2 dated 2021-02-09 and 1.0.0 dated 2021-11-29

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Package bayesPop updated to version 9.0-1 with previous version 9.0-0 dated 2021-11-26

Title: Probabilistic Population Projection
Description: Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy (Raftery et al., 2012 <doi:10.1073/pnas.1211452109>).
Author: Hana Sevcikova, Adrian Raftery, Thomas Buettner
Maintainer: Hana Sevcikova <hanas@uw.edu>

Diff between bayesPop versions 9.0-0 dated 2021-11-26 and 9.0-1 dated 2021-11-29

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More information about bayesPop at CRAN
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Package pkgcache updated to version 1.3.0 with previous version 1.2.2 dated 2021-05-19

Title: Cache 'CRAN'-Like Metadata and R Packages
Description: Metadata and package cache for CRAN-like repositories. This is a utility package to be used by package management tools that want to take advantage of caching.
Author: Gábor Csárdi [aut, cre]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between pkgcache versions 1.2.2 dated 2021-05-19 and 1.3.0 dated 2021-11-29

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New package weightedGCM with initial version 0.1.0
Package: weightedGCM
Title: Weighted Generalised Covariance Measure Conditional Independence Test
Version: 0.1.0
Description: A conditional independence test that can be applied both to univariate and multivariate random variables. The test is based on a weighted form of the sample covariance of the residuals after a nonlinear regression on the conditioning variables. Details are described in Scheidegger, Hoerrmann and Buehlmann (2021) "The Weighted Generalised Covariance Measure" <arXiv:2111.04361>. The test is a generalisation of the Generalised Covariance Measure (GCM) implemented in the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah based on Shah and Peters (2020) "The Hardness of Conditional Independence Testing and the Generalised Covariance Measure" <arXiv:1804.07203>.
License: GPL-2
Imports: GeneralisedCovarianceMeasure, methods, mgcv, stats, xgboost
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-11-27 16:25:53 UTC; cyril
Author: Cyrill Scheidegger [aut, cre], Julia Hoerrmann [ths], Peter Buehlmann [ths], Jonas Peters [ctb, cph] (The code in 'trainFunctions.R' is copied (with small modifications) from the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah), Rajen D. Shah [ctb, cph] (The code in 'trainFunctions.R' is copied (with small modifications) from the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah)
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2021-11-29 09:50:02 UTC

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New package rTLS with initial version 0.2.5.1
Package: rTLS
Title: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
Version: 0.2.5.1
Maintainer: J. Antonio Guzmán Q. <antguz06@gmail.com>
Description: A set of tools to process and calculate metrics on point clouds derived from terrestrial LiDAR (Light Detection and Ranging; TLS). Its creation is based on key aspects of the TLS application in forestry and ecology. Currently, the main routines are based on filtering, neighboring features of points, voxelization, canopy structure, and the creation of artificial stands. It is written using data.table and C++ language and in most of the functions it is possible to use parallel processing to speed-up the routines.
License: GPL (>= 3)
URL: https://github.com/Antguz/rTLS
BugReports: https://github.com/Antguz/rTLS/issues
Depends: data.table (>= 1.0), R (>= 4.0.0)
Imports: alphashape3d, boot, doSNOW (>= 1.0.16), foreach (>= 1.4.4), parallel (>= 3.6.0), Rcpp (>= 1.0.3), RcppProgress (>= 0.4.2), RcppHNSW (>= 0.3.0), rgeos, rgl, sp
Suggests: knitr, rmarkdown, covr, testthat (>= 3.0.1)
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.870), RcppProgress (>= 0.4.2)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: GNU make
ByteCompile: true
NeedsCompilation: yes
Packaged: 2021-11-26 15:51:08 UTC; antonio
Author: J. Antonio Guzmán Q. [cre, aut, ths, cph] (<https://orcid.org/0000-0002-0721-148X>), Ronny Hernandez [aut] (<https://orcid.org/0000-0001-6225-7096>), Arturo Sanchez-Azofeifa [dgs, sad] (<https://orcid.org/0000-0001-7768-6600>)
Repository: CRAN
Date/Publication: 2021-11-29 09:40:02 UTC

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New package nonparametric.bayes with initial version 0.0.1
Package: nonparametric.bayes
Title: Project Code - Nonparametric Bayes
Version: 0.0.1
Description: Basic implementation of a Gibbs sampler for a Chinese Restaurant Process along with some visual aids to help understand how the sampling works. This is developed as part of a postgraduate school project for an Advanced Bayesian Nonparametric course. It is inspired by Tamara Broderick's presentation on Nonparametric Bayesian statistics given at the Simons institute.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: mvtnorm, progress
NeedsCompilation: no
Packaged: 2021-11-27 19:19:00 UTC; erik
Author: Erik-Cristian Seulean [aut, cre] (<https://orcid.org/0000-0002-1444-1574>)
Maintainer: Erik-Cristian Seulean <erikseulean@gmail.com>
Repository: CRAN
Date/Publication: 2021-11-29 09:50:05 UTC

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New package LabApplStat with initial version 1.4.3
Package: LabApplStat
Title: Miscellaneous Scripts from the Data Science Laboratory (UCPH)
Version: 1.4.3
Depends: stats, graphics, emmeans, ggplot2
Imports: ggraph, grid
Suggests: isdals, estimability, dobson, tidyverse
Description: Miscellaneous scripts, e.g. functionality to make and plot factor diagrams for the statistical design.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-11-27 13:00:45 UTC; pdq668
Author: Bo Markussen [aut, cre] (<https://orcid.org/0000-0001-7793-9620>)
Maintainer: Bo Markussen <bomar@math.ku.dk>
Repository: CRAN
Date/Publication: 2021-11-29 09:40:06 UTC

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New package vueR with initial version 0.5.3
Package: vueR
Title: 'Vuejs' Helpers and 'Htmlwidget'
Version: 0.5.3
Date: 2021-11-25
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>
Description: Make it easy to use 'vue' in R with helper dependency functions and examples.
URL: https://github.com/vue-r/vueR
BugReports: https://github.com/vue-r/vueR/issues
License: MIT + file LICENSE
Imports: htmltools, htmlwidgets (>= 0.6.0)
Suggests: knitr, rmarkdown, shiny, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-11-26 15:13:09 UTC; kentr
Author: Evan You [aut, cph] (vue library in lib, https://vuejs.org/; see BACKERS for full list of Patreon backers), Kent Russell [aut, cre] (R interface)
Repository: CRAN
Date/Publication: 2021-11-29 08:50:02 UTC

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Package umx updated to version 4.10.10 with previous version 4.9.0 dated 2021-07-04

Title: Structural Equation Modeling and Twin Modeling in R
Description: Quickly create, run, and report structural equation models, and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.
Author: Timothy C. Bates [aut, cre] (<https://orcid.org/0000-0002-1153-9007>), Gillespie Nathan [wit], Michael Zakharin [wit], Brenton Wiernik [ctb], Joshua N. Pritikin [ctb], Michael C. Neale [ctb], Hermine Maes [ctb]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

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Package survival666 updated to version 0.5 with previous version 0.1 dated 2021-11-24

Title: Eliminate the Influence of Co-Expression Genes on Target Genes
Description: Functions can be used for batch survival analysis, but not only for it. Most importantly, it can verify any P-value calculated according to the gene expression level and eliminate the influence of co-expression genes.
Author: Honglu Zhang [aut, cre, cph] (<https://orcid.org/0000-0002-4844-5004>), Qi Zhang [ctb] (<https://orcid.org/0000-0012-0199-6968>), Xiaodong Pei [ctb] (<https://orcid.org/0000-0002-7897-4505>), Jiawen Guo [ctb] (<https://orcid.org/0000-0002-0331-5038>), Enpeng Liu [ctb] (<https://orcid.org/0000-0002-5549-957X>)
Maintainer: Honglu Zhang <15738817548@163.com>

Diff between survival666 versions 0.1 dated 2021-11-24 and 0.5 dated 2021-11-29

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Package stringi updated to version 1.7.6 with previous version 1.7.5 dated 2021-10-04

Title: Character String Processing Facilities
Description: A collection of character string/text/natural language processing tools for pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms.
Author: Marek Gagolewski [aut, cre, cph] (<https://orcid.org/0000-0003-0637-6028>), Bartek Tartanus [ctb], and others (stringi source code); Unicode, Inc. and others (ICU4C source code, Unicode Character Database)
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between stringi versions 1.7.5 dated 2021-10-04 and 1.7.6 dated 2021-11-29

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Package scorecard updated to version 0.3.6 with previous version 0.3.5 dated 2021-09-06

Title: Credit Risk Scorecard
Description: The `scorecard` package makes the development of credit risk scorecard easier and efficient by providing functions for some common tasks, such as data partition, variable selection, woe binning, scorecard scaling, performance evaluation and report generation. These functions can also used in the development of machine learning models. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

Diff between scorecard versions 0.3.5 dated 2021-09-06 and 0.3.6 dated 2021-11-29

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New package rtgstat with initial version 0.1.1
Package: rtgstat
Title: Client for 'TGstat API'
Version: 0.1.1
Description: Allow function for using 'TGstat Stat API' and 'TGstat Search API', for more details see <https://api.tgstat.ru/docs/ru/start/intro.html>. 'TGstat' provide telegram channel analytics data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, httr2, purrr, retry, snakecase, stringr, tidyr, utils
NeedsCompilation: no
Packaged: 2021-11-26 15:07:53 UTC; Alsey
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>)
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Repository: CRAN
Date/Publication: 2021-11-29 08:40:02 UTC

More information about rtgstat at CRAN
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New package rankdifferencetest with initial version 2021-11-25
Package: rankdifferencetest
Title: Kornbrot's Rank Difference Test
Version: 2021-11-25
Description: Implements Kornbrot's rank difference test as described in <doi:10.1111/j.2044-8317.1990.tb00939.x>. This method is a modified Wilcoxon signed-rank test which produces consistent and meaningful results for ordinal or monotonically-transformed data.
URL: http://brettklamer.com/work/rankdifferencetest
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.6.0)
Imports: Rdpack, coin, modeltools
Suggests: testit, rmarkdown
RdMacros: Rdpack
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-11-25 21:20:24 UTC; x
Author: Brett Klamer [aut, cre] (<https://orcid.org/0000-0002-8334-4831>)
Maintainer: Brett Klamer <code@brettklamer.com>
Repository: CRAN
Date/Publication: 2021-11-29 08:10:02 UTC

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Package keyring updated to version 1.3.0 with previous version 1.2.0 dated 2021-04-28

Title: Access the System Credential Store from R
Description: Platform independent 'API' to access the operating system's credential store. Currently supports: 'Keychain' on 'macOS', Credential Store on 'Windows', the Secret Service 'API' on 'Linux', and a simple, platform independent store implemented with environment variables. Additional storage back-ends can be added easily.
Author: Gábor Csárdi [aut, cre], Alec Wong [ctb], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between keyring versions 1.2.0 dated 2021-04-28 and 1.3.0 dated 2021-11-29

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New package japanstat with initial version 0.1.0
Package: japanstat
Title: Tools for Easy Use of 'e-Stat' API
Version: 0.1.0
Description: Provides tools for using the API of 'e-Stat' (<https://www.e-stat.go.jp/>), a portal site for Japanese government statistics. Includes functions for automatic query generation, data collection and formatting.
License: MIT + file LICENSE
URL: https://github.com/UchidaMizuki/japanstat
BugReports: https://github.com/UchidaMizuki/japanstat/issues
Encoding: UTF-8
LazyData: true
Suggests: keyring (>= 1.2.0), testthat (>= 3.0.0)
Imports: cli(>= 3.1.0), dplyr (>= 1.0.7), httr (>= 1.4.2), pillar (>= 1.6.4), progress (>= 1.2.2), purrr (>= 0.3.4), rlang (>= 0.4.12), stringi (>= 1.7.5), stringr (>= 1.4.0), tibble (>= 3.1.6), tidyr (>= 1.1.4), vctrs (>= 0.3.8)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-11-25 15:13:02 UTC; S71458
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>
Repository: CRAN
Date/Publication: 2021-11-29 08:10:05 UTC

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Package dipm updated to version 1.5 with previous version 1.4 dated 2021-11-18

Title: Depth Importance in Precision Medicine (DIPM) Method
Description: An implementation of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2020) <doi:10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <doi:10.1007/978-3-030-46161-4_16>. The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group.
Author: Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut]
Maintainer: Cai Li <cli9@ncsu.edu>

Diff between dipm versions 1.4 dated 2021-11-18 and 1.5 dated 2021-11-29

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Package LKT updated to version 1.0.1 with previous version 1.0 dated 2021-06-07

Title: Logistic Knowledge Tracing
Description: Computes Logistic Knowledge Tracing ('LKT') which is a general method for tracking human learning in an educational software system. Please see Pavlik, Eglington, and Harrel-Williams (2021) <https://ieeexplore.ieee.org/document/9616435>. 'LKT' is a method to compute features of student data that are used as predictors of subsequent performance. 'LKT' allows great flexibility in the choice of predictive components and features computed for these predictive components. The system is built on top of 'LiblineaR', which enables extremely fast solutions compared to base glm() in R.
Author: Philip I. Pavlik Jr. [aut, ctb, cre] (<https://orcid.org/0000-0001-6467-9452>), Luke G. Eglington [aut, ctb] (<https://orcid.org/0000-0002-8432-9203>)
Maintainer: Philip I. Pavlik Jr. <imrryr@gmail.com>

Diff between LKT versions 1.0 dated 2021-06-07 and 1.0.1 dated 2021-11-29

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Package flametree updated to version 0.1.3 with previous version 0.1.2 dated 2021-04-27

Title: Generate Random Tree-Like Images
Description: A generative art system for producing tree-like images using an L-system to create the structures. The package includes tools for generating the data structures and visualise them in a variety of styles.
Author: Danielle Navarro [aut, cre] (<https://orcid.org/0000-0001-7648-6578>)
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

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Package finreportr updated to version 1.0.3 with previous version 1.0.2 dated 2020-06-13

Title: Financial Data from U.S. Securities and Exchange Commission
Description: Download and display company financial data from the U.S. Securities and Exchange Commission's EDGAR database. It contains a suite of functions with web scraping and XBRL parsing capabilities that allows users to extract data from EDGAR in an automated and scalable manner. See <https://www.sec.gov/edgar/searchedgar/companysearch.html> for more information.
Author: Seward Lee
Maintainer: Seward Lee <sewardlee337@gmail.com>

Diff between finreportr versions 1.0.2 dated 2020-06-13 and 1.0.3 dated 2021-11-29

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Package multilinguer (with last version 0.0.7) was removed from CRAN

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

2021-11-28 0.0.7
2020-01-31 0.0.4
2019-12-30 0.0.3

Permanent link
Package VNM (with last version 7.1) was removed from CRAN

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

2018-05-16 7.1
2018-02-15 6.1
2017-06-28 5.1
2016-02-10 4.1
2015-02-09 4.0
2014-10-31 2.0
2014-05-16 1.0

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Package UCSCXenaShiny updated to version 1.1.3 with previous version 1.1.2 dated 2021-11-17

Title: Interactive Analysis of UCSC Xena Data
Description: Provides functions and a Shiny application for downloading, analyzing and visualizing datasets from UCSC Xena (<http://xena.ucsc.edu/>), which is a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Yi Xiong [aut] (<https://orcid.org/0000-0002-4370-9824>), Longfei Zhao [aut] (<https://orcid.org/0000-0002-6277-0137>), Kai Gu [aut] (<https://orcid.org/0000-0002-0177-0774>), Yin Li [aut], Fei Zhao [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between UCSCXenaShiny versions 1.1.2 dated 2021-11-17 and 1.1.3 dated 2021-11-29

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Package fabletools updated to version 0.3.2 with previous version 0.3.1 dated 2021-03-16

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package dlookr updated to version 0.5.3 with previous version 0.5.2 dated 2021-11-22

Title: Tools for Data Diagnosis, Exploration, Transformation
Description: A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values and outliers and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and relationship between target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputates missing values and outliers, resolving skewness. And it creates automated reports that support these three tasks.
Author: Choonghyun Ryu [aut, cre]
Maintainer: Choonghyun Ryu <choonghyun.ryu@gmail.com>

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Package Copula.Markov updated to version 2.9 with previous version 2.8 dated 2020-02-25

Title: Copula-Based Estimation and Statistical Process Control for Serially Correlated Time Series
Description: Estimation and statistical process control are performed under copula-based time-series models. Available are statistical methods in Long and Emura (2014 JCSA), Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>, Huang and Emura (2021 Commun Stat-Simul) <DOI:10.1080/03610918.2019.1602647>, Lin et al. (2021 Comm Stat-Simul) <DOI:10.1080/03610918.2019.1652318>, Sun et al. (2020 JSS Series in Statistics)<DOI:10.1007/978-981-15-4998-4>, and Huang and Emura (2021, in revision).
Author: Takeshi Emura, Xinwei Huang, Ting-Hsuan Long, Li-Hsien Sun
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between Copula.Markov versions 2.8 dated 2020-02-25 and 2.9 dated 2021-11-29

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Package contentid updated to version 0.0.15 with previous version 0.0.14 dated 2021-11-07

Title: An Interface for Content-Based Identifiers
Description: An interface for creating, registering, and resolving content-based identifiers for data management. Content-based identifiers rely on the 'cryptographic' hashes to refer to the files they identify, thus, anyone possessing the file can compute the identifier using a well-known standard algorithm, such as 'SHA256'. By registering a URL at which the content is accessible to a public archive (such as Hash Archive) or depositing data in a scientific repository such 'Zenodo', 'DataONE' or 'SoftwareHeritage', the content identifier can serve many functions typically associated with A Digital Object Identifier ('DOI'). Unlike location-based identifiers like 'DOIs', content-based identifiers permit the same content to be registered in many locations.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Jorrit Poelen [aut] (<https://orcid.org/0000-0003-3138-4118>), NSF OAC 1839201 [fnd] (https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839201)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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