Wed, 01 May 2019

New package rangeModelMetadata with initial version 0.1.2
Package: rangeModelMetadata
Type: Package
Title: Provides Templates for Metadata Files Associated with Species Range Models
Version: 0.1.2
Author: Cory Merow, Brian Maitner, Hannah Owens, Jamie Kass, Brian Enquist, Rob Guralnick
Maintainer: Cory Merow <cory.merow@gmail.com>
Description: Range Modeling Metadata Standards (RMMS) address three challenges: they (i) are designed for convenience to encourage use, (ii) accommodate a wide variety of applications, and (iii) are extensible to allow the community of range modelers to steer it as needed. RMMS are based on a data dictionary that specifies a hierarchical structure to catalog different aspects of the range modeling process. The dictionary balances a constrained, minimalist vocabulary to improve standardization with flexibility for users to provide their own values. Associated manuscript in review.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends:
Suggests: knitr, rmarkdown, BIEN,
Imports: biomod2, dismo, dplyr, ecospat, ENMeval, googlesheets, jsonlite, MASS, raster, rgbif, rgdal, rgeos, shiny, sp, spatstat, spocc, spThin, utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-01 00:50:58 UTC; ctg
Repository: CRAN
Date/Publication: 2019-05-01 22:20:03 UTC

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Package rqPen updated to version 2.1 with previous version 2.0 dated 2017-05-16

Title: Penalized Quantile Regression
Description: Performs penalized quantile regression for LASSO, SCAD and MCP functions including group penalties. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC.
Author: Ben Sherwood [aut, cre], Adam Maidman [ctb]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>

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New package origami with initial version 1.0.1
Package: origami
Title: Generalized Framework for Cross-Validation
Version: 1.0.1
Authors@R: c( person("Jeremy", "Coyle", email = "jeremyrcoyle@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-9874-6649")), person("Nima", "Hejazi", email = "nh@nimahejazi.org", role = "aut", comment = c(ORCID = "0000-0002-7127-2789")), person("Ivana", "Malenica", email = "imalenica@berkeley.edu", role = "ctb", comment = c(ORCID = "0000-0002-7404-8088")) )
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>
Description: A general framework for the application of cross-validation schemes to particular functions. By allowing arbitrary lists of results, origami accommodates a range of cross-validation applications.
Depends: R (>= 3.0.0),
License: GPL-3
URL: https://tlverse.org/origami
BugReports: https://github.com/tlverse/origami/issues
Encoding: UTF-8
Imports: abind, methods, data.table, future, future.apply, listenv
Suggests: testthat, class, rmarkdown, knitr, stringr, forecast, randomForest
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-01 17:46:59 UTC; jrcoyle
Author: Jeremy Coyle [aut, cre, cph] (<https://orcid.org/0000-0002-9874-6649>), Nima Hejazi [aut] (<https://orcid.org/0000-0002-7127-2789>), Ivana Malenica [ctb] (<https://orcid.org/0000-0002-7404-8088>)
Repository: CRAN
Date/Publication: 2019-05-01 21:50:03 UTC

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Package gStream updated to version 0.2.0 with previous version 0.1.0 dated 2018-10-24

Title: Graph-Based Sequential Change-Point Detection for Streaming Data
Description: Uses an approach based on k-nearest neighbor information to sequentially detect change-points. Offers analytic approximations for false discovery control given user-specified average run length. Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available. See references (1) Chen, H. (2019) Sequential change-point detection based on nearest neighbors. The Annals of Statistics, 47(3):1381-1407. (2) Chu, L. and Chen, H. (2018) Sequential change-point detection for high-dimensional and non-Euclidean data <arXiv:1810.05973>.
Author: Hao Chen and Lynna Chu
Maintainer: Hao Chen <hxchen@ucdavis.edu>

Diff between gStream versions 0.1.0 dated 2018-10-24 and 0.2.0 dated 2019-05-01

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Package divest updated to version 0.8.1 with previous version 0.8.0 dated 2019-04-29

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.
Author: Jon Clayden [aut, cre], Chris Rorden [aut], Martin J Fiedler [cph], Cong Xu [cph], Pascal Gloor [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package textutils updated to version 0.1-11 with previous version 0.1-9 dated 2018-08-17

Title: Utilities for Handling Strings and Text
Description: Utilities for handling character vectors that store human-readable text (either plain or with markup, such as HTML or LaTeX). The package provides, in particular, functions that help with the preparation of plain-text reports (e.g. for expanding and aligning strings that form the lines of such reports); the package also provides generic functions for transforming R objects to HTML and to plain text.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package nhdR updated to version 0.5.2 with previous version 0.5.1 dated 2019-02-19

Title: Tools for working with the National Hydrography Dataset
Description: Tools for working with the National Hydrography Dataset, with functions for querying, downloading, and networking both the NHD <https://www.usgs.gov/core-science-systems/ngp/national-hydrography> and NHDPlus <http://www.horizon-systems.com/nhdplus> datasets.
Author: Joseph Stachelek [aut, cre] (<https://orcid.org/0000-0002-5924-2464>)
Maintainer: Joseph Stachelek <stachel2@msu.edu>

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Package MIIVsem updated to version 0.5.4 with previous version 0.5.3 dated 2019-01-19

Title: Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
Description: Functions for estimating structural equation models using instrumental variables.
Author: Zachary Fisher [aut, cre], Kenneth Bollen [aut], Kathleen Gates [aut], Mikko Rönkkö [aut]
Maintainer: Zachary Fisher <fish.zachary@gmail.com>

Diff between MIIVsem versions 0.5.3 dated 2019-01-19 and 0.5.4 dated 2019-05-01

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Package ingredients updated to version 0.3.3 with previous version 0.3.1 dated 2019-04-09

Title: Effects and Importances of Model Ingredients
Description: Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependency() for partial dependency plots, conditional_dependency() for conditional dependency plots, accumulated_dependency() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, theme_drwhy() with a 'ggplot2' skin for all plots, generic print() and plot() for better usability of selected explainers. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Hubert Baniecki [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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Package cobalt updated to version 3.7.0 with previous version 3.6.1 dated 2019-01-16

Title: Covariate Balance Tables and Plots
Description: Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'WeightIt', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with longitudinal treatments.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package cluster updated to version 2.0.9 with previous version 2.0.8 dated 2019-04-05

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [aut] (Fortran original, <https://orcid.org/0000-0002-3807-5353>), Anja Struyf [aut] (S original), Mia Hubert [aut] (S original, <https://orcid.org/0000-0001-6398-4850>), Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000), <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Erich Schubert [ctb] (fastpam options for pam(), <https://orcid.org/0000-0001-9143-4880>)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package sgmcmc updated to version 0.2.4 with previous version 0.2.3 dated 2018-09-14

Title: Stochastic Gradient Markov Chain Monte Carlo
Description: Provides functions that performs popular stochastic gradient Markov chain Monte Carlo (SGMCMC) methods on user specified models. The required gradients are automatically calculated using 'TensorFlow' <https://www.tensorflow.org/>, an efficient library for numerical computation. This means only the log likelihood and log prior functions need to be specified. The methods implemented include stochastic gradient Langevin dynamics (SGLD), stochastic gradient Hamiltonian Monte Carlo (SGHMC), stochastic gradient Nose-Hoover thermostat (SGNHT) and their respective control variate versions for increased efficiency. References: M. Welling, Y. W. Teh (2011) <http://www.icml-2011.org/papers/398_icmlpaper.pdf>; T. Chen, E. B. Fox, C. E. Guestrin (2014) <arXiv:1402.4102>; N. Ding, Y. Fang, R. Babbush, C. Chen, R. D. Skeel, H. Neven (2014) <https://papers.nips.cc/paper/5592-bayesian-sampling-using-stochastic-gradient-thermostats>; J. Baker, P. Fearnhead, E. B. Fox, C. Nemeth (2017) <arXiv:1706.05439>.
Author: Jack Baker [aut, cre, cph], Christopher Nemeth [aut, cph], Paul Fearnhead [aut, cph], Emily B. Fox [aut, cph], STOR-i [cph]
Maintainer: Jack Baker <j.baker1@lancaster.ac.uk>

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Package blogdown updated to version 0.12 with previous version 0.11 dated 2019-03-11

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<http://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Beilei Bian [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], JJ Allaire [ctb], Kevin Ushey [ctb], Leonardo Collado-Torres [ctb], Xianying Tan [ctb], Raniere Silva [ctb], RStudio Inc [cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package berryFunctions updated to version 1.18.2 with previous version 1.17.0 dated 2018-03-25

Title: Function Collection Related to Plotting and Hydrology
Description: Draw horizontal histograms, color scattered points by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, trace errors and warnings, use the unit hydrograph in a linear storage cascade, convert lists to data.frames and arrays, fit multiple functions.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

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Package hergm updated to version 4.1-1 with previous version 4.1-0 dated 2019-03-13

Title: Hierarchical Exponential-Family Random Graph Models
Description: Hierarchical exponential-family random graph models with local dependence.
Author: Michael Schweinberger <michael.schweinberger@rice.edu> [aut, cre], Mark S. Handcock <handcock@ucla.edu> [aut], Sergii Babkin <babkin.sergii@gmail.com> [aut], Jonathan Stewart <jonathan.stewart@rice.edu> [aut], Duy Vu <duy.vu@unimelb.edu.au> [aut], Pamela Luna <pamela.luna@rice.edu> [ctb]
Maintainer: Michael Schweinberger <michael.schweinberger@rice.edu>

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Package TDMR updated to version 2.1 with previous version 2.0 dated 2018-05-06

Title: Tuned Data Mining in R
Description: Tuned Data Mining in R ('TDMR') performs the complete tuning of a data mining task (predictive analytics, that is classification and regression). Preprocessing parameters and modeling parameters can be tuned simultaneously. It incorporates a variety of tuners (among them 'SPOT' and 'CMA' with package 'rCMA') and allows integration of additional tuners. Noise handling in the data mining optimization process is supported, see Koch et al. (2015) <doi:10.1016/j.asoc.2015.01.005>.
Author: Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Patrick Koch <patrick.koch@fh-koeln.de>
Maintainer: Wolfgang Konen <wolfgang.konen@fh-koeln.de>

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Package PWFSLSmoke updated to version 1.2.4 with previous version 1.2.2 dated 2019-04-04

Title: Utilities for Working with Air Quality Monitoring Data
Description: Utilities for working with air quality monitoring data with a focus on small particulates (PM2.5) generated by wildfire smoke. Functions are provided for downloading available data from the United States 'EPA' <https://www.epa.gov/outdoor-air-quality-data> and it's 'AirNow' air quality site <https://www.airnow.gov>. Additional sources of PM2.5 data made accessible by the package include: 'AIRSIS' (password protected) <https://www.oceaneering.com/data-management/> and 'WRCC' <https://wrcc.dri.edu/cgi-bin/smoke.pl>. Data compilations are provided by 'PWFSL' <https://www.fs.fed.us/pnw/pwfsl/>.
Author: Jonathan Callahan [aut, cre], Rohan Aras [aut], Zach Dingels [aut], Jon Hagg [aut], Jimin Kim [aut], Hans Martin [aut], Helen Miller [aut], Spencer Pease [aut], Rex Thompson [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package gpg updated to version 1.2 with previous version 1.1 dated 2019-01-07

Title: GNU Privacy Guard for R
Description: Bindings to GnuPG for working with OpenGPG (RFC4880) cryptographic methods. Includes utilities for public key encryption, creating and verifying digital signatures, and managing your local keyring. Note that some functionality depends on the version of GnuPG that is installed on the system. On Windows this package can be used together with 'GPG4Win' which provides a GUI for managing keys and entering passphrases.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package ctrdata updated to version 0.18.2 with previous version 0.18 dated 2019-04-11

Title: Retrieve and Analyze Information on Clinical Trials from Public Registers
Description: Provides functions for querying, retrieving and analysing protocol- and results-related information on clinical trials from two public registers, the European Union Clinical Trials Register (EUCTR, <https://www.clinicaltrialsregister.eu/>) and ClinicalTrials.gov (CTGOV, <https://clinicaltrials.gov/>). The information is transformed and then stored in a database (mongo). Functions are provided for accessing and analysing the locally stored information on the clinical trials, as well as for identifying duplicate records. The package is motivated by the need for aggregating and trend-analysing the design, conduct and outcomes across clinical trials.
Author: Ralf Herold [aut, cre] (<https://orcid.org/0000-0002-8148-6748>)
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package conflicted updated to version 1.0.3 with previous version 1.0.2 dated 2019-03-29

Title: An Alternative Conflict Resolution Strategy
Description: R's default conflict management system gives the most recently loaded package precedence. This can make it hard to detect conflicts, particularly when they arise because a package update creates ambiguity that did not previously exist. 'conflicted' takes a different approach, making every conflict an error and forcing you to choose which function to use.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between conflicted versions 1.0.2 dated 2019-03-29 and 1.0.3 dated 2019-05-01

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Package colourlovers updated to version 0.3.5 with previous version 0.3.0 dated 2019-04-29

Title: R Client for the COLOURlovers API
Description: Provides access to the COLOURlovers <http://www.colourlovers.com/> API, which offers color inspiration and color palettes.
Author: Andrew Heiss [aut, cre] (<https://orcid.org/0000-0002-3948-3914>), Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>)
Maintainer: Andrew Heiss <andrew@andrewheiss.com>

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Package cgam updated to version 1.14 with previous version 1.13 dated 2019-04-23

Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with triangle splines without additivity assumptions. See Mary C. Meyer (2013)<doi:10.1080/10485252.2013.797577> for more details.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <liaoxiyue2011@gmail.com>

Diff between cgam versions 1.13 dated 2019-04-23 and 1.14 dated 2019-05-01

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 5 files changed, 20 insertions(+), 13 deletions(-)

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Package Distance updated to version 0.9.8 with previous version 0.9.7 dated 2017-07-03

Title: Distance Sampling Detection Function and Abundance Estimation
Description: A simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided.
Author: David Lawrence Miller
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

Diff between Distance versions 0.9.7 dated 2017-07-03 and 0.9.8 dated 2019-05-01

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Package Conigrave updated to version 0.4.4 with previous version 0.4.2 dated 2018-11-06

Title: Flexible Tools for Multiple Imputation
Description: Provides a set of tools that can be used across 'data.frame' and 'imputationList' objects.
Author: James Conigrave
Maintainer: James Conigrave <james.conigrave@gmail.com>

Diff between Conigrave versions 0.4.2 dated 2018-11-06 and 0.4.4 dated 2019-05-01

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Package AzureGraph updated to version 1.0.1 with previous version 1.0.0 dated 2019-03-31

Title: Simple Interface to 'Microsoft Graph'
Description: A simple interface to the 'Microsoft Graph' API <https://docs.microsoft.com/en-us/graph/overview>. 'Graph' is a comprehensive framework for accessing data in various online Microsoft services. Currently, this package aims to provide an R interface only to the 'Azure Active Directory' part, with a view to supporting interoperability of R and 'Azure': users, groups, registered apps and service principals. However it can be easily extended to cover other services.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between AzureGraph versions 1.0.0 dated 2019-03-31 and 1.0.1 dated 2019-05-01

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Package sapfluxnetr updated to version 0.0.7 with previous version 0.0.6 dated 2019-03-29

Title: Working with 'Sapfluxnet' Project Data
Description: Access, modify, aggregate and plot data from the 'Sapfluxnet' project (<http://sapfluxnet.creaf.cat>), the first global database of sap flow measurements.
Author: Victor Granda [aut, cre] (<https://orcid.org/0000-0002-0469-1991>), Rafael Poyatos [aut] (<https://orcid.org/0000-0003-0521-2523>), Victor Flo [aut] (<https://orcid.org/0000-0003-1908-4577>), Jacob Nelson [ctb] (<https://orcid.org/0000-0002-4663-2420>), Sapfluxnet Core Team [cph]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

Diff between sapfluxnetr versions 0.0.6 dated 2019-03-29 and 0.0.7 dated 2019-05-01

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New package youtubecaption with initial version 0.1.0
Package: youtubecaption
Title: Downloading YouTube Subtitle Transcription in a Tidy 'Tibble' Data_Frame
Version: 0.1.0
Authors@R: c( person(given = "JooYoung", family = "Seo", role = c("aut", "cre"), email = "jooyoung@psu.edu", comment = c(ORCID = "0000-0002-4064-6012")), person("Soyoung", "Choi", role = "aut", email = "sxc940@psu.edu", comment = c(ORCID = "0000-0002-0998-3352")))
Description: Although there exist some R packages tailored for YouTube API (e.g., 'tuber'), downloading YouTube video subtitle (i.e., caption) in a tidy form has never been a low-hanging fruit. Using 'youtube-transcript-api Python package' under the hood, this R package provides users with a convenient way of parsing and converting a desired YouTube caption into a handy 'tibble' data_frame object. Furthermore, users can easily save a desired YouTube caption data as a tidy Excel file without advanced programming background knowledge.
SystemRequirements: Anaconda (https://www.anaconda.com/download/)
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/jooyoungseo/youtubecaption
BugReports: https://github.com/jooyoungseo/youtubecaption/issues
Imports: stringr, writexl, reticulate, purrr, magrittr, tibble, dplyr
RoxygenNote: 6.1.1.9000
Suggests: knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2019-04-29 13:56:13 UTC; JooYoung
Author: JooYoung Seo [aut, cre] (<https://orcid.org/0000-0002-4064-6012>), Soyoung Choi [aut] (<https://orcid.org/0000-0002-0998-3352>)
Maintainer: JooYoung Seo <jooyoung@psu.edu>
Repository: CRAN
Date/Publication: 2019-05-01 09:20:04 UTC

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New package PoissonPCA with initial version 1.0.2
Package: PoissonPCA
Title: Poisson-Noise Corrected PCA
Version: 1.0.2
Authors@R: c(person("Toby", "Kenney", email = "tkenney@mathstat.dal.ca", role = c("aut", "cre")),person("Tianshu", "Huang", email = "", role = c("aut")))
Description: For a multivariate dataset with independent Poisson measurement error, calculates principal components of transformed latent Poisson means. T. Kenney, T. Huang, H. Gu (2019) <arXiv:1904.11745>.
Depends: R (>= 3.2.3)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports:
NeedsCompilation: yes
Packaged: 2019-04-30 16:55:52 UTC; tjk23
Author: Toby Kenney [aut, cre], Tianshu Huang [aut]
Maintainer: Toby Kenney <tkenney@mathstat.dal.ca>
Repository: CRAN
Date/Publication: 2019-05-01 09:00:03 UTC

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New package wedge with initial version 1.0-1
Package: wedge
Type: Package
Title: The Exterior Calculus
Version: 1.0-1
Depends: spray (>= 1.0-6)
Suggests: knitr, Deriv, testthat
VignetteBuilder: knitr
Imports: permutations (>= 1.0-4), partitions, magrittr
Authors@R: person( given=c("Robin", "K. S."), family="Hankin", role = c("aut","cre"), email="hankin.robin@gmail.com", comment = c(ORCID = "0000-0001-5982-0415"))
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Description: Provides functionality for working with differentials, k-forms, wedge products, Stokes's theorem, and related concepts from the exterior calculus. The canonical reference would be: M. Spivak (1965, ISBN:0-8053-9021-9). "Calculus on Manifolds", Benjamin Cummings.
License: GPL-2
URL: https://github.com/RobinHankin/wedge.git
BugReports: https://github.com/RobinHankin/wedge/issues
NeedsCompilation: no
Packaged: 2019-04-28 21:47:57 UTC; rhankin
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Repository: CRAN
Date/Publication: 2019-05-01 06:40:03 UTC

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New package VIRF with initial version 0.1.0
Package: VIRF
Type: Package
Title: Computation of Volatility Impulse Response Function of Multivariate Time Series
Version: 0.1.0
Author: Dr. Ranjit Kumar Paul and Mr. Ankit Tanwar
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: Computation of volatility impulse response function for multivariate time series model using algorithm by Jin, Lin and Tamvakis (2012) <doi.org/10.1016/j.eneco.2012.03.003>.
License: GPL
Imports: stats, rmgarch, mgarchBEKK, gnm, expm, BigVAR, ks, matrixcalc, matlib
LazyData: TRUE
NeedsCompilation: no
Packaged: 2019-04-30 05:12:13 UTC; ranjitstat
Repository: CRAN
Date/Publication: 2019-05-01 06:50:03 UTC

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New package ANOVAShiny with initial version 0.1.0
Package: ANOVAShiny
Type: Package
Title: Interactive Document for Working with Analysis of Variance
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of one-way and two-way analysis of variance using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/ANOVAShiny/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,dplyr,datasets,rhandsontable,DescTools,HH
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-04-30 17:46:29 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-05-01 07:00:03 UTC

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Package mglR (with last version 0.1.0) was removed from CRAN

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

2017-01-22 0.1.0

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Package mdsr (with last version 0.1.6) was removed from CRAN

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

2018-06-18 0.1.6
2017-12-20 0.1.5
2017-07-24 0.1.4
2016-08-29 0.1.3

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