Mon, 21 Jun 2021

Package SAMTx updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-11

Title: Sensitivity Assessment to Unmeasured Confounding with Multiple Treatments
Description: A sensitivity analysis approach for unmeasured confounding in observational data with multiple treatments and a binary outcome. This approach derives the general bias formula and provides adjusted causal effect estimates in response to various assumptions about the degree of unmeasured confounding. Nested multiple imputation is embedded within the Bayesian framework to integrate uncertainty about the sensitivity parameters and sampling variability. Bayesian Additive Regression Model (BART) is used for outcome modeling. The causal estimands are the conditional average treatment effects (CATE) based on the risk difference. For more details, see paper: Hu L et al. (2020) A flexible sensitivity analysis approach for unmeasured confounding with a multiple treatments and a binary outcome <arXiv:2012.06093>.
Author: Liangyuan Hu [aut], Jungang Zou [aut], Jiayi Ji [aut, cre]
Maintainer: Jiayi Ji <Jiayi.Ji@mountsinai.org>

Diff between SAMTx versions 0.1.0 dated 2021-01-11 and 0.2.0 dated 2021-06-21

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Package MoEClust updated to version 1.4.0 with previous version 1.3.3 dated 2021-01-06

Title: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
Description: Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2020) <doi:10.1007/s11634-019-00373-8>. This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion of an additional noise component is also facilitated. A greedy forward stepwise search algorithm is provided for identifying the optimal model in terms of the number of components, the GPCM covariance parameterisation, and the subsets of gating/expert network covariates.
Author: Keefe Murphy [aut, cre] (<https://orcid.org/0000-0002-7709-3159>), Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>)
Maintainer: Keefe Murphy <keefe.murphy@mu.ie>

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Package peacesciencer updated to version 0.5.0 with previous version 0.4.0 dated 2021-05-31

Title: Various Tools and Data for Quantitative Peace Science
Description: These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package fdasrvf updated to version 1.9.7 with previous version 1.9.6 dated 2021-05-07

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <arXiv:1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker <jdtuck@sandia.gov>
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between fdasrvf versions 1.9.6 dated 2021-05-07 and 1.9.7 dated 2021-06-21

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Package tarchetypes updated to version 0.2.1 with previous version 0.2.0 dated 2021-05-11

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative workflows for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible workflows concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Permanent link

Package usdata updated to version 0.2.0 with previous version 0.1.0 dated 2020-06-30

Title: Data on the States and Counties of the United States
Description: Demographic data on the United States at the county and state levels spanning multiple years.
Author: Mine Çetinkaya-Rundel [aut, cre] (<https://orcid.org/0000-0001-6452-2420>), David Diez [aut], Leah Dorazio [aut]
Maintainer: Mine Çetinkaya-Rundel <cetinkaya.mine@gmail.com>

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Package codalm updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-25

Title: Transformation-Free Linear Regression for Compositional Outcomes and Predictors
Description: Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2021) <doi:10.1111/biom.13465> for transformation-free linear regression for compositional outcomes and predictors.
Author: Jacob Fiksel [aut, cre] (<https://orcid.org/0000-0001-7067-1334>), Abhirup Datta [aut]
Maintainer: Jacob Fiksel <jfiksel@gmail.com>

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Package PAMpal updated to version 0.13.0 with previous version 0.9.14 dated 2020-12-17

Title: Load and Process Passive Acoustic Data
Description: Tools for loading and processing passive acoustic data. Read in data that has been processed in 'Pamguard' (<https://www.pamguard.org/>), apply a suite processing functions, and export data for reports or external modeling tools. Parameter calculations implement methods by Oswald et al (2007) <doi:10.1121/1.2743157>, Griffiths et al (2020) <doi:10.1121/10.0001229> and Baumann-Pickering et al (2010) <doi:10.1121/1.3479549>.
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Emily Griffiths [ctb], Michael Oswald [ctb], Simone Baumann-Pickering [ctb], Julie Oswald [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>

Diff between PAMpal versions 0.9.14 dated 2020-12-17 and 0.13.0 dated 2021-06-21

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Package NHSDataDictionaRy updated to version 1.2.4 with previous version 1.2.3 dated 2021-05-05

Title: NHS Data Dictionary Toolset for NHS Lookups
Description: Providing a common set of simplified web scraping tools for working with the NHS Data Dictionary <https://datadictionary.nhs.uk/data_elements_overview.html>. The intended usage is to access the data elements section of the NHS Data Dictionary to access key lookups. The benefits of having it in this package are that the lookups are the live lookups on the website and will not need to be maintained. This package was commissioned by the NHS-R community <https://nhsrcommunity.com/> to provide this consistency of lookups. The OpenSafely lookups have now been added <https://www.opencodelists.org/docs/>.
Author: Gary Hutson [aut, cre] (<https://orcid.org/0000-0003-3534-6143>), Calum Polwart [aut], Tom Jemmett [aut] (<https://orcid.org/0000-0002-6943-2990>)
Maintainer: Gary Hutson <g.hutson@nhs.net>

Diff between NHSDataDictionaRy versions 1.2.3 dated 2021-05-05 and 1.2.4 dated 2021-06-21

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Package ChineseNames updated to version 1.1.0 with previous version 1.0.0 dated 2021-04-01

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>

Diff between ChineseNames versions 1.0.0 dated 2021-04-01 and 1.1.0 dated 2021-06-21

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Package bruceR updated to version 0.7.2 with previous version 0.7.0 dated 2021-05-28

Title: Broadly Useful Convenient and Efficient R Functions
Description: Broadly useful convenient and efficient R functions that bring users concise and elegant R data analyses. This package includes easy-to-use functions for (1) basic R programming (e.g., set working directory to where the current file is, print strings with rich formats and colors); (2) multivariate computation (e.g., compute scale sums/means/... with reverse scoring); (3) reliability and factor analyses; (4) descriptive statistics and correlation analyses; (5) multi-factor analysis of variance (ANOVA), simple-effect analysis, and post-hoc multiple comparison; (6) tidy report of regression models and other results (to R Console and MS Word); (7) mediation and moderation analyses (PROCESS); and (8) additional toolbox for statistics and graphics.
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>

Diff between bruceR versions 0.7.0 dated 2021-05-28 and 0.7.2 dated 2021-06-21

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Package stagedtrees updated to version 2.2.0 with previous version 2.1.0 dated 2021-04-22

Title: Staged Event Trees
Description: Creates and fits staged event tree probability models, which are probabilistic graphical models capable of representing asymmetric conditional independence statements for categorical variables. Includes functions to create, plot and fit staged event trees from data, as well as many efficient structure learning algorithms. References: Collazo R. A., Görgen C. and Smith J. Q. (2018, ISBN:9781498729604). Görgen C., Bigatti A., Riccomagno E. and Smith J. Q. (2018) <arXiv:1705.09457>. Thwaites P. A., Smith, J. Q. (2017) <arXiv:1510.00186>. Barclay L. M., Hutton J. L. and Smith J. Q. (2013) <doi:10.1016/j.ijar.2013.05.006>. Smith J. Q. and Anderson P. E. (2008) <doi:10.1016/j.artint.2007.05.004>.
Author: Gherardo Varando [aut, cre] (<https://orcid.org/0000-0002-6708-1103>), Federico Carli [aut], Manuele Leonelli [aut] (<https://orcid.org/0000-0002-2562-5192>), Eva Riccomagno [aut]
Maintainer: Gherardo Varando <gherardo.varando@gmail.com>

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Package replicateBE updated to version 1.1.0 with previous version 1.0.17 dated 2021-05-14

Title: Average Bioequivalence with Expanding Limits (ABEL)
Description: Performs comparative bioavailability calculations for Average Bioequivalence with Expanding Limits (ABEL). Implemented are 'Method A' and 'Method B' and the detection of outliers. If the design allows, assessment of the empiric Type I Error and iteratively adjusting alpha to control the consumer risk. Average Bioequivalence - optionally with a tighter (narrow therapeutic index drugs) or wider acceptance range (Gulf Cooperation Council, South Africa: Cmax) - is implemented as well.
Author: Helmut Schütz [aut, cre] (<https://orcid.org/0000-0002-1167-7880>), Michael Tomashevskiy [ctb], Detlew Labes [ctb] (<https://orcid.org/0000-0003-2169-426X>)
Maintainer: Helmut Schütz <helmut.schuetz@bebac.at>

Diff between replicateBE versions 1.0.17 dated 2021-05-14 and 1.1.0 dated 2021-06-21

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New package antaresEditObject with initial version 0.2.2
Package: antaresEditObject
Title: Edit an 'Antares' Simulation
Version: 0.2.2
Authors@R: c( person("Veronique", "Bachelier", email = "veronique.bachelier@rte-france.com", role = c("aut", "cre")), person("Frederic", "Breant", role = "aut"), person("Victor", "Perrier", role = c("aut")), person("Baptiste", "Seguinot", role = "ctb"), person("Benoit", "Thieurmel", role = "ctb"), person("Titouan", "Robert", role = "ctb"), person("Jalal-Edine", "Zawam", role = "ctb"), person("Etienne", "Sanchez", role = "ctb"), person("Janus", "De Bondt", role = "ctb"), person("RTE", role = "cph"))
Description: Edit an 'Antares' simulation before running it : create new areas, links, thermal clusters or binding constraints or edit existing ones. Update 'Antares' general & optimization settings. 'Antares' is an open source power system generator, more information available here : <https://antares-simulator.org/>.
License: GPL (>= 2) | file LICENSE
Encoding: UTF-8
Depends: antaresRead (>= 2.2.7)
Imports: assertthat, grDevices, data.table, whisker, fs, doParallel, pbapply, parallel
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-21 15:07:36 UTC; bthie
Author: Veronique Bachelier [aut, cre], Frederic Breant [aut], Victor Perrier [aut], Baptiste Seguinot [ctb], Benoit Thieurmel [ctb], Titouan Robert [ctb], Jalal-Edine Zawam [ctb], Etienne Sanchez [ctb], Janus De Bondt [ctb], RTE [cph]
Maintainer: Veronique Bachelier <veronique.bachelier@rte-france.com>
Repository: CRAN
Date/Publication: 2021-06-21 16:00:07 UTC

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Package lidR updated to version 3.1.4 with previous version 3.1.3 dated 2021-05-20

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor()), Leon Steinmeier [ctb] (Contributed to parallelization management)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package rBiasCorrection updated to version 0.3.1 with previous version 0.3.0 dated 2021-05-17

Title: Correct Bias in DNA Methylation Analyses
Description: Implementation of the algorithms (with minor modifications) to correct bias in quantitative DNA methylation analyses as described by Moskalev et al. (2011) <doi:10.1093/nar/gkr213>. Publication: Kapsner et al. (2021) <doi:10.1002/ijc.33681>.
Author: Lorenz A. Kapsner [cre, aut, cph] (<https://orcid.org/0000-0003-1866-860X>), Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package stevetemplates updated to version 0.6.0 with previous version 0.5.0 dated 2021-04-13

Title: Steve's R Markdown Templates
Description: These are my collection of 'R Markdown' templates, mostly for compilation to PDF. These are useful for all things academic and professional, if you are using 'R Markdown' for things like your CV or your articles and manuscripts.
Author: Steven V. Miller
Maintainer: Steven V. Miller <steven.v.miller@gmail.com>

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Package pammtools updated to version 0.5.7 with previous version 0.5.6 dated 2021-03-29

Title: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
Description: The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated, competing risks and recurrent events data. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
Author: Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>), Fabian Scheipl [aut] (<https://orcid.org/0000-0001-8172-3603>), Philipp Kopper [aut] (<https://orcid.org/0000-0002-5037-7135>)
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>

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Package lcmm updated to version 1.9.3 with previous version 1.9.2 dated 2020-07-07

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).
Author: Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

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Package regions updated to version 0.1.8 with previous version 0.1.7 dated 2021-06-16

Title: Processing Regional Statistics
Description: Validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.
Author: Daniel Antal [aut, cre] (<https://orcid.org/0000-0001-7513-6760>), Kasia Kulma [ctb] (<https://orcid.org/0000-0002-2952-9720>), Istvan Zsoldos [ctb] (<https://orcid.org/0000-0001-5712-2103>), Leo Lahti [ctb] (<https://orcid.org/0000-0001-5537-637X>)
Maintainer: Daniel Antal <daniel.antal@ceemid.eu>

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Package ergm.ego updated to version 0.9.0 with previous version 0.6.1 dated 2020-11-19

Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data. See Krivitsky and Morris (2017) <doi:10.1214/16-AOAS1010>.
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb], Michał Bojanowski [ctb] (<https://orcid.org/0000-0001-7503-852X>), Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <p.krivitsky@unsw.edu.au>

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Package BE updated to version 0.1.3 with previous version 0.1.2 dated 2020-09-27

Title: Bioequivalence Study Data Analysis
Description: Analyze bioequivalence study data with industrial strength. Sample size could be determined for various crossover designs, such as 2x2 design, 2x4 design, 4x4 design, Balaam design, Two-sequence dual design, and William design. Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between BE versions 0.1.2 dated 2020-09-27 and 0.1.3 dated 2021-06-21

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Package BayesianReasoning updated to version 0.3.3 with previous version 0.3.2 dated 2020-07-03

Title: Plot Positive and Negative Predictive Values for Medical Tests
Description: Functions to plot and help understand positive and negative predictive values (PPV and NPV), and their relationship with sensitivity, specificity, and prevalence. See Akobeng, A.K. (2007) <doi:10.1111/j.1651-2227.2006.00180.x> for a theoretical overview of the technical concepts and Navarrete et al. (2015) for a practical explanation about the importance of their understanding <doi:10.3389/fpsyg.2015.01327>.
Author: Gorka Navarrete [aut, cre] (<https://orcid.org/0000-0001-7678-8656>)
Maintainer: Gorka Navarrete <gorkang@gmail.com>

Diff between BayesianReasoning versions 0.3.2 dated 2020-07-03 and 0.3.3 dated 2021-06-21

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Package Blaunet (with last version 2.1.0) was removed from CRAN

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

2020-05-22 2.1.0
2020-05-10 2.0.9
2018-09-13 2.0.8
2017-10-06 2.0.7
2017-09-22 2.0.6
2017-09-14 2.0.5
2016-04-13 2.0.4
2016-04-01 2.0.3
2016-03-24 2.0.2
2015-12-27 2.0.1
2014-04-14 1.0.1
2014-01-20 1.0.0

Permanent link
Package lolog (with last version 1.2) was removed from CRAN

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

2019-01-12 1.2
2018-10-22 1.1
2018-10-07 1.0

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Package geomnet (with last version 0.3.1) was removed from CRAN

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

2020-11-26 0.3.1

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New package usdc with initial version 0.1.0
Package: usdc
Title: USDC and Centre Stablecoin Blockchain Data
Version: 0.1.0
Authors@R: person("Galen", "Simmons", email = "galen.simmons@gmail.com", role = c("aut", "cre"))
Maintainer: Galen Simmons <galen.simmons@gmail.com>
Description: Client for data sources to track current and historical 'usdc' circulation on blockchains officially supported by the Centre Consortium (Algorand, Ethereum, Solana, Stellar). USDC is a dollar-backed stablecoin issued by the Centre Consortium. This package utilizes block explorer APIs to retrieve current circulation data and the Coin Metrics API to retrieve historical metrics. Additional utility functions are provided for charting and looking up the metrics definitions for Coin Metrics V4 API, which is documented at <https://docs.coinmetrics.io/api/v4>.
Encoding: UTF-8
LazyData: true
Suggests: covr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: scales, httr, jsonlite, lubridate, tidyselect, dplyr, magrittr, tibble, knitr, ggplot2, rlang, ggthemes
Language: en-US
X-schema.org-applicationCategory: Blockchain
X-schema.org-keywords: defi, usdc, ethereum, algorand, solana, stellar, blockchain, cryptocurrency
License: MIT + file LICENSE
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-06-20 14:09:06 UTC; galen-macbook
Author: Galen Simmons [aut, cre]
Repository: CRAN
Date/Publication: 2021-06-21 09:50:02 UTC

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New package MAAPER with initial version 1.1.0
Package: MAAPER
Title: Analysis of Alternative Polyadenylation Using 3' End-Linked Reads
Version: 1.1.0
Authors@R: person(given = "Wei Vivian", family = "Li", role = c("aut", "cre"), email = "vivian.li@rutgers.edu", comment = c(ORCID = "0000-0002-2087-2709"))
Description: A computational method developed for model-based analysis of alternative polyadenylation (APA) using 3' end-linked reads. It accurately assigns 3' RNA-seq reads to polyA sites through statistical modeling, and generates multiple statistics for APA analysis. Please also see Li WV, Zheng D, Wang R, Tian B (2021) <doi:10.1101/2021.03.21.436343>.
License: GPL-3
Encoding: UTF-8
Imports: parallel, GenomicRanges, GenomicAlignments, GenomicFeatures, GenomeInfoDb, stats, utils, Rsamtools, IRanges, MASS
URL: https://github.com/Vivianstats/MAAPER, https://doi.org/10.1101/2021.03.21.436343
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-19 23:08:04 UTC; wei
Author: Wei Vivian Li [aut, cre] (<https://orcid.org/0000-0002-2087-2709>)
Maintainer: Wei Vivian Li <vivian.li@rutgers.edu>
Repository: CRAN
Date/Publication: 2021-06-21 09:40:02 UTC

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New package cropgrowdays with initial version 0.1.0
Package: cropgrowdays
Title: Crop Growing Degree Days and Agrometeorological Calculations
Version: 0.1.0
Authors@R: c( person(given = "Peter", family = "Baker", role = c("aut", "cre"), email = "drpetebaker@gmail.com", comment = c(ORCID = "0000-0002-1241-7263")), person(given = "Miranda", family = "Mortlock", role = "aut", email = "miranda.mortlock@qut.edu.au", comment = c(ORCID = "0000-0001-7029-9827")))
Description: Calculate agrometeorological variables for crops including growing degree days (McMaster, GS & Wilhelm, WW (1997) <doi:10.1016/S0168-1923(97)00027-0>), cumulative rainfall, number of stress days and cumulative or mean radiation and evaporation. Convert dates to day of year and vice versa. Also, download curated and interpolated Australian weather data from the Queensland Government DES longpaddock website <https://www.longpaddock.qld.gov.au/>. This data is freely available under the Creative Commons 4.0 licence.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://gitlab.com/petebaker/cropgrowdays/
BugReports: https://gitlab.com/petebaker/cropgrowdays/-/issues
Depends: R (>= 4.0.0)
Imports: lubridate, magrittr, dplyr, tibble, purrr, purrrlyr, httr
Suggests: tidyverse, rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-20 07:00:53 UTC; pete
Author: Peter Baker [aut, cre] (<https://orcid.org/0000-0002-1241-7263>), Miranda Mortlock [aut] (<https://orcid.org/0000-0001-7029-9827>)
Maintainer: Peter Baker <drpetebaker@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-21 09:50:05 UTC

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New package bndovb with initial version 1.0
Package: bndovb
Title: Bounding Omitted Variable Bias Using Auxiliary Data
Version: 1.0
Authors@R: person(given = "Yujung", family = "Hwang", role = c("aut", "cre"), email = "yujungghwang@gmail.com", comment = c(ORCID = "https://orcid.org/0000-0002-8136-8987"))
Description: Functions to implement a Hwang(2021) <doi:10.2139/ssrn.3866876> estimator, which bounds an omitted variable bias using auxiliary data.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: np, pracma, stats, utils, MASS, dplyr, factormodel, nnet
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-20 12:49:07 UTC; yujung
Author: Yujung Hwang [aut, cre] (<https://orcid.org/0000-0002-8136-8987>)
Maintainer: Yujung Hwang <yujungghwang@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-21 09:50:08 UTC

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Package antaresViz updated to version 0.16 with previous version 0.15.4 dated 2021-01-12

Title: Antares Visualizations
Description: Visualize results generated by Antares, a powerful open source software developed by RTE to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions that create interactive charts to help 'Antares' users visually explore the results of their simulations.
Author: Veronique Bachelier [aut, cre], Jalal-Edine Zawam [aut], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Paul Plessiez [aut], Baptiste Seguinot [ctb], RTE [cph]
Maintainer: Veronique Bachelier <veronique.bachelier@rte-france.com>

Diff between antaresViz versions 0.15.4 dated 2021-01-12 and 0.16 dated 2021-06-21

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Package rio updated to version 0.5.27 with previous version 0.5.26 dated 2021-03-01

Title: A Swiss-Army Knife for Data I/O
Description: Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data structure from the file extension, reasonable defaults are used for data import and export (e.g., 'stringsAsFactors=FALSE'), web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly without explicit decompression, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.
Author: Jason Becker [ctb], Chung-hong Chan [aut] (<https://orcid.org/0000-0002-6232-7530>), Geoffrey CH Chan [ctb], Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>), Christopher Gandrud [ctb], Andrew MacDonald [ctb], Ista Zahn [ctb], Stanislaus Stadlmann [ctb], Ruaridh Williamson [ctb], Patrick Kennedy [ctb], Ryan Price [ctb], Trevor L Davis [ctb], Nathan Day [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Alex Bokov [ctb] (<https://orcid.org/0000-0002-0511-9815>)
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between rio versions 0.5.26 dated 2021-03-01 and 0.5.27 dated 2021-06-21

 DESCRIPTION         |   13 
 MD5                 |   20 
 NEWS.md             |    5 
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 R/import_list.R     |    2 
 README.md           |  447 ++++++++++--------
 build/vignette.rds  |binary
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New package r2dii.plot with initial version 0.0.1
Package: r2dii.plot
Title: Visualize the Climate Scenario Alignment of a Financial Portfolio
Version: 0.0.1
Authors@R: c(person(given = "Monika", family = "Furdyna", role = c("aut", "ctr", "cre"), email = "monika.furdyna@gmail.com", comment = c(ORCID = "0000-0002-3728-0646")), person(given = "Mauro", family = "Lepore", role = c("aut", "ctr"), email = "maurolepore@gmail.com", comment = c(ORCID = "0000-0002-1986-7988")), person(given = "Alex", family = "Axthelm", role = c("aut", "ctr"), email = "alex@2degrees-investing.org", comment = c(ORCID = "0000-0001-8579-8565")), person(given = "2 Degrees Investing Initiative", role = c("cph", "fnd"), email = "contact@2degrees-investing.org"))
Description: Create plots to visualize the alignment of a corporate lending portfolio to climate change scenarios based on climate indicators (production and emission intensities) across key climate relevant sectors of the 'PACTA' methodology (Paris Agreement Capital Transition Assessment; <https://www.transitionmonitor.com/pacta-for-banks-2020/methodology-and-supporting-materials/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals.
License: MIT + file LICENSE
URL: https://github.com/2DegreesInvesting/r2dii.plot
BugReports: https://github.com/2DegreesInvesting/r2dii.plot/issues
Depends: R (>= 3.4)
Imports: dplyr, forcats, ggplot2, ggrepel, glue, gridExtra, lubridate, magrittr, r2dii.data, rlang, scales
Suggests: covr, r2dii.analysis, r2dii.match, rmarkdown, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2021-06-18 15:46:55 UTC; mauro
Author: Monika Furdyna [aut, ctr, cre] (<https://orcid.org/0000-0002-3728-0646>), Mauro Lepore [aut, ctr] (<https://orcid.org/0000-0002-1986-7988>), Alex Axthelm [aut, ctr] (<https://orcid.org/0000-0001-8579-8565>), 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Monika Furdyna <monika.furdyna@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-21 07:40:02 UTC

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New package lgpr with initial version 1.1.3
Package: lgpr
Title: Longitudinal Gaussian Process Regression
Version: 1.1.3
Authors@R: c(person(given = "Juho", family = "Timonen", role = c("aut", "cre"), email = "juho.timonen@iki.fi", comment = c(ORCID = "0000-0003-2341-6765")) )
Description: Interpretable nonparametric modeling of longitudinal data using additive Gaussian process regression. Contains functionality for inferring covariate effects and assessing covariate relevances. Models are specified using a convenient formula syntax, and can include shared, group-specific, non-stationary, heterogeneous and temporally uncertain effects. Bayesian inference for model parameters is performed using Stan. The modeling approach and methods are described in detail in Timonen et al. (2021) <doi:10.1093/bioinformatics/btab021>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4.0), methods
Imports: Rcpp (>= 0.12.0), RcppParallel (>= 5.0.2), RCurl (>= 1.98), rstan (>= 2.21.2), rstantools (>= 2.1.1), bayesplot (>= 1.7.0), MASS (>= 7.3-50), stats (>= 3.4), ggplot2 (>= 3.1.0), gridExtra (>= 0.3.0)
LinkingTo: BH (>= 1.75.0-0), Rcpp (>= 1.0.6), RcppEigen (>= 0.3.3.9.1), RcppParallel (>= 5.0.2), rstan (>= 2.21.2), StanHeaders (>= 2.21.0-7)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, testthat, covr
URL: https://github.com/jtimonen/lgpr
BugReports: https://github.com/jtimonen/lgpr/issues
NeedsCompilation: yes
Packaged: 2021-06-19 10:48:33 UTC; juhotimonen
Author: Juho Timonen [aut, cre] (<https://orcid.org/0000-0003-2341-6765>)
Maintainer: Juho Timonen <juho.timonen@iki.fi>
Repository: CRAN
Date/Publication: 2021-06-21 08:00:02 UTC

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Package ergm updated to version 4.0.1 with previous version 4.0.0 dated 2021-06-14

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2021) <arXiv:2106.04997>.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michał Bojanowski [ctb], Ben Bolker [ctb], Christian Schmid [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between ergm versions 4.0.0 dated 2021-06-14 and 4.0.1 dated 2021-06-21

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 ergm-4.0.1/ergm/inst/include/ergm_unsorted_edgelist.h     |   41 +++++-----
 ergm-4.0.1/ergm/inst/include/ergm_wtchangestat_operator.h |    3 
 ergm-4.0.1/ergm/man/ergm-terms.Rd                         |    2 
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 ergm-4.0.1/ergm/src/model.c                               |    4 
 ergm-4.0.1/ergm/src/wtmodel.c                             |    4 
 ergm-4.0.1/ergm/tests/testthat/test-Sum.R                 |   12 ++
 ergm-4.0.1/ergm/tests/testthat/test-proposal-bdstrattnt.R |   20 ++--
 ergm-4.0.1/ergm/tests/testthat/test-target-offset.R       |    6 -
 ergm-4.0.1/ergm/tests/testthat/test-term-Offset.R         |   11 ++
 31 files changed, 235 insertions(+), 146 deletions(-)

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Package dmlalg updated to version 0.0.2 with previous version 0.0.1 dated 2021-06-11

Title: Double Machine Learning Algorithms
Description: Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann (2021) "Regularizing Double Machine Learning in Partially Linear Endogenous Models" <arXiv:2101.12525>. Our goal is to perform inference for the linear parameter in partially linear models with confounding variables. The standard DML estimator of the linear parameter has a two-stage least squares interpretation, which can lead to a large variance and overwide confidence intervals. We apply regularization to reduce the variance of the estimator, which produces narrower confidence intervals that are approximately valid. Nuisance terms can be flexibly estimated with machine learning algorithms.
Author: Corinne Emmenegger [aut, cre] (<https://orcid.org/0000-0003-0353-8888>), Peter Buehlmann [ths] (<https://orcid.org/0000-0002-1782-6015>)
Maintainer: Corinne Emmenegger <emmenegger@stat.math.ethz.ch>

Diff between dmlalg versions 0.0.1 dated 2021-06-11 and 0.0.2 dated 2021-06-21

 DESCRIPTION                            |    6 
 MD5                                    |   14 +
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 10 files changed, 400 insertions(+), 208 deletions(-)

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New package tidyestimate with initial version 1.0.4
Package: tidyestimate
Title: A Tidy Implementation of 'ESTIMATE'
Version: 1.0.4
Authors@R: c(person(given = "Kai", family = "Aragaki", role = c("aut", "cre"), email = "aaragak1@jhmi.edu", comment = c(ORCID = "0000-0002-9458-0426")), person(given = "Paul", family = "Roebuck", role = c("cph"), email = "proebuck@mdanderson.org", comment = "Copyright holder of ESTIMATE package"), person(given = "Kosuke", family = "Yoshihara", role = c("aut"), email = "yoshikou@med.niigata-u.ac.jp", comment = "Author of original ESTIMATE algorithm"), person(given = "Rahulsimham", family = "Vegesna", role = c("aut"), comment = "Author of original ESTIMATE algorithm"), person(given = "Hoon", family = "Kim", role = c("aut"), email = "hoonkim@kaist.ac.kr", comment = "Author of original ESTIMATE algorithm"), person(given = "Roel", family = "Verhaak", role = c("aut"), comment = "Author of original ESTIMATE algorithm"))
Description: The 'ESTIMATE' package infers tumor purity from expression data as a function of immune and stromal infiltrate, but requires writing of intermediate files, is un-pipeable, and performs poorly when presented with modern datasets with current gene symbols. 'tidyestimate' a fast, tidy, modern reimagination of 'ESTIMATE' (2013) <doi:10.1038/ncomms3612>.
License: GPL (>= 2)
URL: https://github.com/KaiAragaki/tidyestimate
BugReports: https://github.com/KaiAragaki/tidyestimate/issues
Depends: R (>= 4.1.0)
Imports: utils, grDevices, graphics, glue, dplyr, stats, rlang, ggrepel, ggplot2
Encoding: UTF-8
LazyData: true
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-18 10:16:38 UTC; kaiaragaki
Author: Kai Aragaki [aut, cre] (<https://orcid.org/0000-0002-9458-0426>), Paul Roebuck [cph] (Copyright holder of ESTIMATE package), Kosuke Yoshihara [aut] (Author of original ESTIMATE algorithm), Rahulsimham Vegesna [aut] (Author of original ESTIMATE algorithm), Hoon Kim [aut] (Author of original ESTIMATE algorithm), Roel Verhaak [aut] (Author of original ESTIMATE algorithm)
Maintainer: Kai Aragaki <aaragak1@jhmi.edu>
Repository: CRAN
Date/Publication: 2021-06-21 06:20:02 UTC

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New package sfarrow with initial version 0.4.0
Package: sfarrow
Title: Read/Write Simple Feature Objects ('sf') with 'Apache' 'Arrow'
Version: 0.4.0
Date: 2021-06-17
Authors@R: person(given = "Chris", family = "Jochem", role = c("aut", "cre"), email = "w.c.jochem@soton.ac.uk", comment = c(ORCID = "0000-0003-2192-5988"))
Description: Support for reading/writing simple feature ('sf') spatial objects from/to 'Parquet' files. 'Parquet' files are an open-source, column-oriented data storage format from Apache (<https://parquet.apache.org/>), now popular across programming languages. This implementation converts simple feature list geometries into well-known binary format for use by 'arrow', and coordinate reference system information is maintained in a standard metadata format.
License: MIT + file LICENSE
URL: https://github.com/wcjochem/sfarrow, https://wcjochem.github.io/sfarrow/
BugReports: https://github.com/wcjochem/sfarrow/issues
Encoding: UTF-8
Imports: sf, arrow, jsonlite, dplyr,
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-18 10:58:23 UTC; jochem
Author: Chris Jochem [aut, cre] (<https://orcid.org/0000-0003-2192-5988>)
Maintainer: Chris Jochem <w.c.jochem@soton.ac.uk>
Repository: CRAN
Date/Publication: 2021-06-21 06:20:05 UTC

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New package RHybridFinder with initial version 0.1.0
Package: RHybridFinder
Title: Identification of Hybrid Peptides in Immunopeptidomic Analyses
Version: 0.1.0
Authors@R: c(person("Frederic", "Saab", role = c("aut", "cre"), email = "frederic.saab@umontreal.ca"), person("Peter", "Kubiniok", role = "aut") )
Maintainer: Frederic Saab <frederic.saab@umontreal.ca>
Description: Tool for the analysis Mass Spectrometry (MS) data in the context of immunopeptidomic analysis for the identification of hybrid peptides and the predictions of binding affinity of all peptides using 'netMHCpan' <doi:10.1093/nar/gkaa379> while providing a summary of the netMHCpan output. 'RHybridFinder' (RHF) is destined for researchers who are looking to analyze their MS data for the purpose of identification of potential spliced peptides. This package, developed mainly in base R, is based on the workflow published by Faridi et al. in 2018 <doi:10.1126/sciimmunol.aar3947>.
Imports: doParallel, foreach, seqinr
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
LazyData: True
LazyDataCompression: bzip2
Packaged: 2021-06-18 06:10:11 UTC; caron-fs
Author: Frederic Saab [aut, cre], Peter Kubiniok [aut]
Repository: CRAN
Date/Publication: 2021-06-21 06:10:07 UTC

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New package ranlip with initial version 1.0.0
Package: ranlip
Title: Generation of Random Vectors with User-Defined Density
Version: 1.0.0
Date: 2021-06-18
Authors@R: c(person("Gleb", "Beliakov", role = c("aut", "cre"), email = "gleb@deakin.edu.au"), person("Daniela", "Calderon", role = "aut"), person("James", "Theiler", role = "aut"), person("Brian", "Gough", role = "aut"))
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>
Author: Gleb Beliakov [aut, cre], Daniela Calderon [aut], James Theiler [aut], Brian Gough [aut]
Description: Random vectors with arbitrary Lipschitz density are generated using acceptance/ rejection. The method is based on G. Beliakov (2005) <doi:10.1016/j.cpc.2005.03.105>.
License: LGPL-3
LazyData: FALSE
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Copyright: Gleb Beliakov. The 'gsl_randist' random number generation library is copyright to James Theiler and Brian Gough.
Packaged: 2021-06-18 12:58:56 UTC; gleb
Repository: CRAN
Date/Publication: 2021-06-21 06:50:01 UTC

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New package pedsuite with initial version 1.0.4
Package: pedsuite
Title: Easy Installation of the 'ped suite' Packages for Pedigree Analysis
Version: 1.0.4
Authors@R: c(person(given = "Magnus Dehli", family = "Vigeland", role = c("aut", "cre"), email = "m.d.vigeland@medisin.uio.no", comment = c(ORCID = "0000-0002-9134-4962")), person(given = "Thore", family = "Egeland", role = "aut", email = "thore.egeland@nmbu.no", comment = c(ORCID = "0000-0002-3465-8885")))
Description: The 'ped suite' is a collection of packages for pedigree analysis, covering applications in forensic genetics, medical genetics and more. A detailed presentation of the 'ped suite' is given in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN: 9780128244302).
License: GPL (>= 3)
URL: https://magnusdv.github.io/pedsuite/, https://github.com/magnusdv/pedsuite
BugReports: https://github.com/magnusdv/pedsuite/issues
Depends: forrel, pedmut, pedprobr, pedtools, ribd
Imports: dvir, ibdsim2, paramlink2, pedbuildr, segregatr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2021-06-18 08:58:17 UTC; magnusdv
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>), Thore Egeland [aut] (<https://orcid.org/0000-0002-3465-8885>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Repository: CRAN
Date/Publication: 2021-06-21 06:10:02 UTC

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New package liayson with initial version 1.0.4
Package: liayson
Title: Linking Singe-Cell Transcriptomes Atween Contemporary Subpopulation Genomes
Version: 1.0.4
Date: 2021-06-17
Author: Noemi Andor
Maintainer: Noemi Andor <liayson.scRNA.R@gmail.com>
Description: Given an RNA-seq derived cell-by-gene matrix and an DNA-seq derived copy number segmentation, LIAYSON predicts the number of clones present in a tumor, their size, the copy number profile of each clone and the clone membership of each single cell (Andor, N. & Lau, B., et al. (2018) <doi:10.1101/445932>).
License: GPL-2
URL: https://github.com/noemiandor/liayson, https://groups.google.com/d/forum/liayson
Depends: R (>= 3.0)
Imports: phangorn, RColorBrewer, ape, parallel, plyr, matlab, biomaRt, distances, arules, e1071, proxy, gplots, methods
Suggests: mclust, fpc, NbClust, modeest, pastecs, vegan
Packaged: 2021-06-18 11:38:38 UTC; 4470246
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2021-06-21 06:50:04 UTC

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Package ICvectorfields updated to version 0.0.2 with previous version 0.0.1 dated 2021-06-18

Title: Vector Fields from Spatial Time Series of Population Abundance
Description: Functions for converting time series of spatial abundance or density data in raster format to vector fields of population movement using the digital image correlation technique. More specifically, the functions in the package compute cross-covariance using discrete fast Fourier transforms for computational efficiency. Vectors in vector fields point in the direction of highest two dimensional cross-covariance. The package has a novel implementation of the digital image correlation algorithm that is designed to detect persistent directional movement when image time series extend beyond a sequence of two raster images.
Author: Devin Goodsman [aut, cre] (<https://orcid.org/0000-0003-1935-5779>)
Maintainer: Devin Goodsman <goodsman@ualberta.ca>

Diff between ICvectorfields versions 0.0.1 dated 2021-06-18 and 0.0.2 dated 2021-06-21

 DESCRIPTION |    8 ++++----
 MD5         |    6 +++---
 NEWS.md     |    3 +++
 README.md   |   13 +++++++++++--
 4 files changed, 21 insertions(+), 9 deletions(-)

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Package getDTeval updated to version 0.0.2 with previous version 0.0.1 dated 2020-11-18

Title: Translating Coding Statements using get() and eval() for Improved Run-Time Coding Efficiency
Description: The getDTeval() function facilitates the translation of the original coding statement to an optimized form for improved runtime efficiency without compromising on the programmatic coding design. The function can either provide a translation of the coding statement, directly evaluate the translation to return a coding result, or provide both of these outputs.
Author: David Shilane [aut], Mayur Bansal [ctb, cre], Anderson Nelson [ctb], Caffrey Lee [ctb], Zichen Huang [ctb]
Maintainer: Mayur Bansal <mb4511@columbia.edu>

Diff between getDTeval versions 0.0.1 dated 2020-11-18 and 0.0.2 dated 2021-06-21

 DESCRIPTION                             |   12 ++++-------
 MD5                                     |   12 +++++------
 NAMESPACE                               |    1 
 R/getDTeval.R                           |   34 +++++++++++++++++---------------
 inst/doc/Introduction_to_getDTeval.Rmd  |    2 -
 inst/doc/Introduction_to_getDTeval.html |   20 +++++++++---------
 vignettes/Introduction_to_getDTeval.Rmd |    2 -
 7 files changed, 43 insertions(+), 40 deletions(-)

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New package dynplot with initial version 1.1.0
Package: dynplot
Title: Visualising Single-Cell Trajectories
Version: 1.1.0
Authors@R: c(person(given = "Robrecht", family = "Cannoodt", role = c("aut", "cre", "cph"), email = "rcannood@gmail.com", comment = c(ORCID = "0000-0003-3641-729X")), person(given = "Wouter", family = "Saelens", role = "aut", email = "wouter.saelens@ugent.be", comment = c(ORCID = "0000-0002-7114-6248")))
Description: Visualise a single-cell trajectory as a graph or dendrogram, as a dimensionality reduction or heatmap of the expression data, or a comparison between two trajectories as a pairwise scatterplot or dimensionality reduction projection. Saelens and Cannoodt et al. (2019) <doi:10.1038/s41587-019-0071-9>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/dynverse/dynplot
BugReports: https://github.com/dynverse/dynplot/issues
Depends: R (>= 3.0.0)
Imports: assertthat, dplyr, dynutils (>= 1.0.2), dynfeature (>= 1.0.0), dyndimred (>= 1.0.0), dynwrap (>= 1.0.0), GA, ggforce, ggplot2 (>= 3.0), ggraph (>= 2.0), ggrepel, igraph, MASS, methods, patchwork, purrr, reshape2, tibble, tidyr, tidygraph, vipor
Suggests: covr, hexbin, knitr, RColorBrewer, rje, rmarkdown, testthat (>= 3.0.0), uwot
VignetteBuilder: knitr
Collate: 'milestone_palette.R' 'add_milestone_coloring.R' 'add_cell_coloring.R' 'add_density_coloring.R' 'data.R' 'dummy_proofing.R' 'expect_ggplot.R' 'is_colour_vector.R' 'linearise_cells.R' 'mix_colors.R' 'optimize_order.R' 'package.R' 'plot_dendro.R' 'project_waypoints.R' 'plot_dimred.R' 'plot_edge_flips.R' 'plot_graph.R' 'plot_heatmap.R' 'plot_linearised_comparison.R' 'plot_onedim.R' 'plot_strip.R' 'plot_topology.R' 'theme_clean.R'
NeedsCompilation: no
Packaged: 2021-06-18 12:24:04 UTC; rcannood
Author: Robrecht Cannoodt [aut, cre, cph] (<https://orcid.org/0000-0003-3641-729X>), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-21 06:40:02 UTC

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Package DTwrappers updated to version 0.0.2 with previous version 0.0.1 dated 2021-05-04

Title: Simplified Data Analysis with Wrapper Functions for the 'Data.Table' Package
Description: Provides functionality for users who are learning R or the techniques of data analysis. Written as a collection of wrapper functions, the 'DTwrapper' package facilitates many core operations of data processing. This is achieved with relatively few requirements about the order of the processing steps or knowledge of specialized syntax. 'DTwrappers' creates coding results along with translations to data.table's code. This enables users to benefit from the speed and efficiency of data.table's calculations. Furthermore, the package also provides the translated code for educational purposes so that users can review working examples of coding syntax and calculations.
Author: David Shilane [aut], Mayur Bansal [ctb, cre]
Maintainer: Mayur Bansal <mb4511@columbia.edu>

Diff between DTwrappers versions 0.0.1 dated 2021-05-04 and 0.0.2 dated 2021-06-21

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New package ao with initial version 0.1.0
Package: ao
Title: Alternating Optimization
Version: 0.1.0
Date: 2021-06-18
Authors@R: person(given = "Lennart", family = "Oelschl\U00E4ger", role = c("aut", "cre"), email = "lennart.oelschlaeger@uni-bielefeld.de", comment = c(ORCID = "0000-0001-5421-9313"))
Description: Alternating optimization of high-dimensional functions is an iterative procedure for minimizing (or maximizing) jointly over all parameters by alternately optimizing for parameter subsets. See Bezdek and Hathaway (2002) "Some Notes on Alternating Optimization" <doi:10.1007/3-540-45631-7_39>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-06-18 13:37:37 UTC; Lennart
Author: Lennart Oelschläger [aut, cre] (<https://orcid.org/0000-0001-5421-9313>)
Maintainer: Lennart Oelschläger <lennart.oelschlaeger@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2021-06-21 06:50:07 UTC

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Package dsa updated to version 1.0.12 with previous version 0.74.18 dated 2020-04-15

Title: Seasonal Adjustment of Daily Time Series
Description: Seasonal- and calendar adjustment of time series with daily frequency using the DSA approach developed by Ollech, Daniel (2018): Seasonal adjustment of daily time series. Bundesbank Discussion Paper 41/2018.
Author: Daniel Ollech [aut, cre]
Maintainer: Daniel Ollech <daniel.ollech@bundesbank.de>

Diff between dsa versions 0.74.18 dated 2020-04-15 and 1.0.12 dated 2021-06-21

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New package AnnoProbe with initial version 0.1.4
Package: AnnoProbe
Title: Annotate the Gene Symbols for Probes in Expression Array
Version: 0.1.4
Date: 2021-06-18
Authors@R: c( person(given = "Jianming", family = "Zeng", role = "aut", email = "jmzeng1314@163.com"), person(given = "Yujia", family = "Xiang", role = "aut"), person(given = "Yonghe", family = "Xia", role = c("ctb", "cre"), email = "xiayh17@gmail.com") )
Maintainer: Yonghe Xia <xiayh17@gmail.com>
Description: We curated 147 of expression array, from 3 species(human,mouse,rat), 3 companies('Affymetrix','Illumina','Agilent'), by aligning the 'Fasta' sequences of all probes of each platform to their corresponding reference genome, and then annotate them to genes.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/jmzeng1314/AnnoProbe
LazyData: true
Depends: R (>= 3.4.0)
Imports: limma, ggplot2, DT, ggpubr, pheatmap, utils, methods, Biobase, stats
biocViews:
Suggests: GEOquery, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-06-18 02:21:37 UTC; yonghe
Author: Jianming Zeng [aut], Yujia Xiang [aut], Yonghe Xia [ctb, cre]
Repository: CRAN
Date/Publication: 2021-06-21 06:00:02 UTC

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Package tensorregress updated to version 4.0 with previous version 3.0 dated 2020-09-16

Title: Supervised Tensor Decomposition with Side Information
Description: Implement the alternating algorithm for supervised tensor decomposition with interactive side information.
Author: Jiaxin Hu [aut, cre, cph], Zhuoyan Xu [aut, cph], Chanwoo Lee [aut, cph], Miaoyan Wang [aut, cph]
Maintainer: Jiaxin Hu <jhu267@wisc.edu>

Diff between tensorregress versions 3.0 dated 2020-09-16 and 4.0 dated 2021-06-21

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Package GGally updated to version 2.1.2 with previous version 2.1.1 dated 2021-03-08

Title: Extension to 'ggplot2'
Description: The R package 'ggplot2' is a plotting system based on the grammar of graphics. 'GGally' extends 'ggplot2' by adding several functions to reduce the complexity of combining geometric objects with transformed data. Some of these functions include a pairwise plot matrix, a two group pairwise plot matrix, a parallel coordinates plot, a survival plot, and several functions to plot networks.
Author: Barret Schloerke [aut, cre], Di Cook [aut, ths], Joseph Larmarange [aut], Francois Briatte [aut], Moritz Marbach [aut], Edwin Thoen [aut], Amos Elberg [aut], Ott Toomet [ctb], Jason Crowley [aut], Heike Hofmann [ths], Hadley Wickham [ths]
Maintainer: Barret Schloerke <schloerke@gmail.com>

Diff between GGally versions 2.1.1 dated 2021-03-08 and 2.1.2 dated 2021-06-21

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Package fmtr updated to version 1.5.1 with previous version 1.5.0 dated 2021-02-22

Title: Easily Apply Formats to Data
Description: Contains a set of functions that can be used to apply formats to data frames or vectors. The package aims to provide to functionality similar to that of SAS® formats. Formats are assigned to the format attribute on data frame columns. Then when the fdata() function is called, a new data frame is created with the column data formatted as specified. The package also contains a value() function to create a user-defined format, similar to a SAS® user-defined format.
Author: David Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

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