Thu, 16 Jan 2020

Package thor updated to version 1.1.1 with previous version 1.1.0 dated 2019-03-14

Title: Interface to 'LMDB'
Description: Key-value store, implemented as a wrapper around 'LMDB'; the "lightning memory-mapped database" <https://symas.com/lmdb/>. 'LMDB' is a transactional key value store that uses a memory map for efficient access. This package wraps the entire 'LMDB' interface (except duplicated keys), and provides objects for transactions and cursors.
Author: Rich FitzJohn [aut, cre], Howard Chu [aut, cph], Symas Corporation [cph], Martin Hedenfalk [aut, cph], The OpenLDAP Foundation [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between thor versions 1.1.0 dated 2019-03-14 and 1.1.1 dated 2020-01-16

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New package SplitReg with initial version 1.0.1
Package: SplitReg
Type: Package
Title: Split Regularized Regression
Version: 1.0.1
Date: 2020-01-12
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Ezequiel Smucler <ezequiels.90@gmail.com>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions for computing split regularized estimators defined in Christidis, Lakshmanan, Smucler and Zamar (2019) <arXiv:1712.03561>. The approach fits linear regression models that split the set of covariates into groups. The optimal split of the variables into groups and the regularized estimation of the regression coefficients are performed by minimizing an objective function that encourages sparsity within each group and diversity among them. The estimated coefficients are then pooled together to form the final fit.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 0.12.12)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, glmnet, MASS
NeedsCompilation: yes
RoxygenNote: 7.0.2
Packaged: 2020-01-14 11:25:27 UTC; antho
Repository: CRAN
Date/Publication: 2020-01-16 23:50:07 UTC

More information about SplitReg at CRAN
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Package smam updated to version 0.5.2 with previous version 0.5.1 dated 2020-01-15

Title: Statistical Modeling of Animal Movements
Description: Animal movement models including moving-resting process with embedded Brownian motion according to Yan et al. (2014) <doi:10.1007/s10144-013-0428-8>, Pozdnyakov et al. (2017) <doi:10.1007/s11009-017-9547-6>, Brownian motion with measurement error according to Pozdnyakov et al. (2014) <doi:10.1890/13-0532.1>, and moving-resting-handling process with embedded Brownian motion, Pozdnyakov et al. (2018) <arXiv:1806.00849>.
Author: Chaoran Hu [aut, cre], Vladimir Pozdnyakov [aut], Jun Yan [aut]
Maintainer: Chaoran Hu <chaoran.hu@uconn.edu>

Diff between smam versions 0.5.1 dated 2020-01-15 and 0.5.2 dated 2020-01-16

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Package rrcov3way updated to version 0.1-18 with previous version 0.1-10 dated 2017-06-22

Title: Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data
Description: Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) <doi:10.1016/j.aca.2011.04.043>) and versions for compositional data are also provided (Gallo (2015) <doi:10.1080/03610926.2013.798664>, Di Palma et al. (2018) <doi:10.1080/02664763.2017.1381669>.
Author: Valentin Todorov <valentin.todorov@chello.at>, Maria Anna Di Palma <madipalma@unior.it> and Michele Gallo \email{mgallo@unior.it}
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package qgcomp updated to version 2.0.0 with previous version 1.3.0 dated 2019-12-11

Title: Quantile G-Computation
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <arXiv:1902.04200> [stat.ME].
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>

Diff between qgcomp versions 1.3.0 dated 2019-12-11 and 2.0.0 dated 2020-01-16

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Package iCellR updated to version 1.2.9 with previous version 1.2.7 dated 2019-12-04

Title: Analyzing High-Throughput Single Cell Sequencing Data
Description: A toolkit that allows scientists to work with data from single cell sequencing technologies such as scRNA-seq, scVDJ-seq and CITE-Seq. Single (i) Cell R package ('iCellR') provides unprecedented flexibility at every step of the analysis pipeline, including normalization, clustering, dimensionality reduction, imputation, visualization, and so on. Users can design both unsupervised and supervised models to best suit their research. In addition, the toolkit provides 2D and 3D interactive visualizations, differential expression analysis, filters based on cells, genes and clusters, data merging, normalizing for dropouts, data imputation methods, correcting for batch differences, pathway analysis, tools to find marker genes for clusters and conditions, predict cell types and pseudotime analysis.
Author: Alireza Khodadadi-Jamayran [aut, cre] (<https://orcid.org/0000-0003-2495-7504>), Joseph Pucella [aut], Hua Zhou [aut], Nicole Doudican [aut], John Carucci [aut], Adriana Heguy [aut], Boris Reizis [aut], Aristotelis Tsirigos [aut] (<https://orcid.org/0000-0002-7512-8477>)
Maintainer: Alireza Khodadadi-Jamayran <alireza.khodadadi.j@gmail.com>

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Package hyperSpec updated to version 0.99-20200115 with previous version 0.99-20180627 dated 2018-06-28

Title: Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)
Description: Comfortable ways to work with hyperspectral data sets. I.e. spatially or time-resolved spectra, or spectra with any other kind of information associated with each of the spectra. The spectra can be data as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More generally, any data that is recorded over a discretized variable, e.g. absorbance = f (wavelength), stored as a vector of absorbance values for discrete wavelengths is suitable.
Author: Claudia Beleites [aut, cre, dtc], Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]
Maintainer: Claudia Beleites <Claudia.Beleites@chemometrix.gmbh>

Diff between hyperSpec versions 0.99-20180627 dated 2018-06-28 and 0.99-20200115 dated 2020-01-16

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Package dde updated to version 1.0.1 with previous version 1.0.0 dated 2019-05-16

Title: Solve Delay Differential Equations
Description: Solves ordinary and delay differential equations, where the objective function is written in either R or C. Suitable only for non-stiff equations, the solver uses a 'Dormand-Prince' method that allows interpolation of the solution at any point. This approach is as described by Hairer, Norsett and Wanner (1993) <ISBN:3540604529>. Support is also included for iterating difference equations.
Author: Rich FitzJohn [aut, cre], Wes Hinsley [aut], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between dde versions 1.0.0 dated 2019-05-16 and 1.0.1 dated 2020-01-16

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More information about dde at CRAN
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Package origami updated to version 1.0.3 with previous version 1.0.1 dated 2019-05-01

Title: Generalized Framework for Cross-Validation
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.
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>), Rachael Phillips [ctb] (<https://orcid.org/0000-0002-8474-591X>)
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>

Diff between origami versions 1.0.1 dated 2019-05-01 and 1.0.3 dated 2020-01-16

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Package WebGestaltR updated to version 0.4.3 with previous version 0.4.2 dated 2019-09-17

Title: Gene Set Analysis Toolkit WebGestaltR
Description: The web version WebGestalt <http://www.webgestalt.org> supports 12 organisms, 354 gene identifiers and 321,251 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis and Network Topology Analysis. The user-friendly output report allows interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneously analyze multiple gene lists.
Author: Jing Wang [aut], Yuxing Liao [aut, cre], Eric Jaehnig [ctb], Zhiao Shi [ctb], Quanhu Sheng [ctb]
Maintainer: Yuxing Liao <yuxingliao@gmail.com>

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Package uGMAR updated to version 3.2.2 with previous version 3.2.1 dated 2019-12-11

Title: Estimate Univariate Gaussian or Student's t Mixture Autoregressive Model
Description: Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, Mika Meitz, Daniel Preve, Pentti Saikkonen (2018) <arXiv:1805.04010>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

Diff between uGMAR versions 3.2.1 dated 2019-12-11 and 3.2.2 dated 2020-01-16

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Package rgexf (with last version 0.15.3) was removed from CRAN

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

2015-03-24 0.15.3

Permanent link
Package MetamapsDB (with last version 0.0.2) was removed from CRAN

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

2017-12-06 0.0.2

Permanent link
Package wv updated to version 0.1.1 with previous version 0.1.0 dated 2019-08-30

Title: Wavelet Variance
Description: Provides a series of tools to compute and plot quantities related to classical and robust wavelet variance for time series and regular lattices. More details can be found, for example, in Serroukh, A., Walden, A.T., & Percival, D.B. (2000) <doi:10.2307/2669537> and Guerrier, S. & Molinari, R. (2016) <arXiv:1607.05858>.
Author: Stéphane Guerrier [aut, cre], James Balamuta [aut], Justin Lee [aut], Roberto Molinari [aut], Yuming Zhang [aut], Nathanael Claussen [ctb], Haotian Xu [ctb], Lionel Voirol [ctb]
Maintainer: Stéphane Guerrier <stef.guerrier@gmail.com>

Diff between wv versions 0.1.0 dated 2019-08-30 and 0.1.1 dated 2020-01-16

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Package TestDimorph updated to version 0.2.9 with previous version 0.2.1 dated 2019-11-11

Title: Analysis Of The Interpopulation Difference In Degree of Sexual Dimorphism Using Summary Statistics
Description: Provides two approaches of comparison; the univariate and the multivariate analysis in two or more populations. Since the main obstacle of performing systematic comparisons in anthropological studies is the absence of raw data, the current package offer a solution for this problem by allowing the use of published summary statistics of metric data (mean, standard deviation and sex specific sample size) as illustrated by the works of Greene, D. L. (1989) <doi:10.1002/ajpa.1330790113> and Konigsberg, L. W. (1991) <doi:10.1002/ajpa.1330840110>.
Author: Bassam A. Abulnoor [aut, cre] (<https://orcid.org/0000-0003-4351-2754>), MennattAllah H. Attia [aut] (<https://orcid.org/0000-0002-2304-532X>), Lyle W. Konigsberg [ctb, dtc] (<https://orcid.org/0000-0003-4052-1575>)
Maintainer: Bassam A. Abulnoor <bas12@fayoum.edu.eg>

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Package signs updated to version 0.1.2 with previous version 0.1.1 dated 2019-11-25

Title: Insert Proper Minus Signs
Description: Provides convenience functions to replace hyphen-minuses (ASCII 45) with proper minus signs (Unicode character 2212). The true minus matches the plus symbol in width, line thickness, and height above the baseline. It was designed for mathematics, looks better in presentation, and is understood properly by screen readers.
Author: Benjamin E. Wolfe [aut, cre] (<https://orcid.org/0000-0002-4339-9328>)
Maintainer: Benjamin E. Wolfe <benjamin.e.wolfe@gmail.com>

Diff between signs versions 0.1.1 dated 2019-11-25 and 0.1.2 dated 2020-01-16

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Package rrcov updated to version 1.5-2 with previous version 1.4-9 dated 2019-11-25

Title: Scalable Robust Estimators with High Breakdown Point
Description: Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point: principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>), linear and quadratic discriminant analysis (Todorov and Pires (2007)), multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>), outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>). See also Todorov and Filzmoser (2009) <ISBN-13:978-3838108148>, Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.
Author: Valentin Todorov <valentin.todorov@chello.at>
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package knitr updated to version 1.27 with previous version 1.26 dated 2019-11-12

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Andre Simon [ctb] (the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de), Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Ben Baumer [ctb], Brian Diggs [ctb], Brian Zhang [ctb], Cassio Pereira [ctb], Christophe Dervieux [ctb], David Hugh-Jones [ctb], David Robinson [ctb], Doug Hemken [ctb], Duncan Murdoch [ctb], Elio Campitelli [ctb], Emily Riederer [ctb], Fabian Hirschmann [ctb], Fitch Simeon [ctb], Forest Fang [ctb], Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty), Garrick Aden-Buie [ctb], Gregoire Detrez [ctb], Hadley Wickham [ctb], Hao Zhu [ctb], Heewon Jeon [ctb], Henrik Bengtsson [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Hodges Daniel [ctb], Jake Burkhead [ctb], James Manton [ctb], Jared Lander [ctb], Jason Punyon [ctb], Javier Luraschi [ctb], Jeff Arnold [ctb], Jenny Bryan [ctb], Jeremy Ashkenas [ctb, cph] (the CSS file at inst/misc/docco-classic.css), Jeremy Stephens [ctb], Jim Hester [ctb], Joe Cheng [ctb], Johannes Ranke [ctb], John Honaker [ctb], John Muschelli [ctb], Jonathan Keane [ctb], JJ Allaire [ctb], Johan Toloe [ctb], Jonathan Sidi [ctb], Joseph Larmarange [ctb], Julien Barnier [ctb], Kaiyin Zhong [ctb], Kamil Slowikowski [ctb], Karl Forner [ctb], Kevin K. Smith [ctb], Kirill Mueller [ctb], Kohske Takahashi [ctb], Lorenz Walthert [ctb], Lucas Gallindo [ctb], Marius Hofert [ctb], Martin Modrák [ctb], Michael Chirico [ctb], Michael Friendly [ctb], Michal Bojanowski [ctb], Michel Kuhlmann [ctb], Miller Patrick [ctb], Nacho Caballero [ctb], Nick Salkowski [ctb], Niels Richard Hansen [ctb], Noam Ross [ctb], Obada Mahdi [ctb], Qiang Li [ctb], Ramnath Vaidyanathan [ctb], Richard Cotton [ctb], Robert Krzyzanowski [ctb], Romain Francois [ctb], Ruaridh Williamson [ctb], Scott Kostyshak [ctb], Sebastian Meyer [ctb], Sietse Brouwer [ctb], Simon de Bernard [ctb], Sylvain Rousseau [ctb], Taiyun Wei [ctb], Thibaut Assus [ctb], Thibaut Lamadon [ctb], Thomas Leeper [ctb], Tim Mastny [ctb], Tom Torsney-Weir [ctb], Trevor Davis [ctb], Viktoras Veitas [ctb], Weicheng Zhu [ctb], Wush Wu [ctb], Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between knitr versions 1.26 dated 2019-11-12 and 1.27 dated 2020-01-16

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Permanent link

Package vtreat updated to version 1.5.1 with previous version 1.5.0 dated 2020-01-08

Title: A Statistically Sound 'data.frame' Processor/Conditioner
Description: A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, <DOI:10.5281/zenodo.1173313>.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between vtreat versions 1.5.0 dated 2020-01-08 and 1.5.1 dated 2020-01-16

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More information about vtreat at CRAN
Permanent link

Package shinycssloaders updated to version 0.3 with previous version 0.2.0 dated 2017-05-12

Title: Add CSS Loading Animations to 'shiny' Outputs
Description: Automatically show loader animations while a Shiny output is (re)calculating. This is mostly a wrapper around the css-loaders created by Luke Hass <https://github.com/lukehaas/css-loaders>.
Author: Andras Sali [aut] (Original creator of shinycssloaders package), Luke Hass [ctb, cph] (Author of included CSS loader code), Dean Attali [aut, cre] (Creator of Shiny-wrapper code)
Maintainer: Dean Attali <daattali@gmail.com>

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Permanent link

Package nzilbb.labbcat updated to version 0.4-2 with previous version 0.4-1 dated 2020-01-09

Title: Accessing Data Stored in 'LaBB-CAT' Instances
Description: 'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. You must have at least version 20200108.1025 of 'LaBB-CAT' to use this package. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
Author: Robert Fromont [aut, cre]
Maintainer: Robert Fromont <robert.fromont@canterbury.ac.nz>

Diff between nzilbb.labbcat versions 0.4-1 dated 2020-01-09 and 0.4-2 dated 2020-01-16

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Permanent link

Package leaps updated to version 3.1 with previous version 3.0 dated 2017-01-09

Title: Regression Subset Selection
Description: Regression subset selection, including exhaustive search.
Author: Thomas Lumley based on Fortran code by Alan Miller
Maintainer: Thomas Lumley <t.lumley@auckland.ac.nz>

Diff between leaps versions 3.0 dated 2017-01-09 and 3.1 dated 2020-01-16

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Package DiagrammeR updated to version 1.0.5 with previous version 1.0.1 dated 2019-04-22

Title: Graph/Network Visualization
Description: Build graph/network structures using functions for stepwise addition and deletion of nodes and edges. Work with data available in tables for bulk addition of nodes, edges, and associated metadata. Use graph selections and traversals to apply changes to specific nodes or edges. A wide selection of graph algorithms allow for the analysis of graphs. Visualize the graphs and take advantage of any aesthetic properties assigned to nodes and edges.
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>)
Maintainer: Richard Iannone <riannone@me.com>

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 DiagrammeR-1.0.5/DiagrammeR/R/do_bfs.R                                            |   47 
 DiagrammeR-1.0.5/DiagrammeR/R/do_dfs.R                                            |   47 
 DiagrammeR-1.0.5/DiagrammeR/R/docs_node_edge_aes_data.R                           |only
 DiagrammeR-1.0.5/DiagrammeR/R/drop_edge_attrs.R                                   |   30 
 DiagrammeR-1.0.5/DiagrammeR/R/drop_node_attrs.R                                   |   29 
 DiagrammeR-1.0.5/DiagrammeR/R/edge_aes.R                                          |  295 --
 DiagrammeR-1.0.5/DiagrammeR/R/edge_data.R                                         |   19 
 DiagrammeR-1.0.5/DiagrammeR/R/export_csv.R                                        |   58 
 DiagrammeR-1.0.5/DiagrammeR/R/export_graph.R                                      |  357 --
 DiagrammeR-1.0.5/DiagrammeR/R/filter_graph_series.R                               |   49 
 DiagrammeR-1.0.5/DiagrammeR/R/from_adj_matrix.R                                   |   67 
 DiagrammeR-1.0.5/DiagrammeR/R/from_igraph.R                                       |   35 
 DiagrammeR-1.0.5/DiagrammeR/R/fully_connect_nodes_ws.R                            |   43 
 DiagrammeR-1.0.5/DiagrammeR/R/fully_disconnect_nodes_ws.R                         |   38 
 DiagrammeR-1.0.5/DiagrammeR/R/generate_dot.R                                      |  122 
 DiagrammeR-1.0.5/DiagrammeR/R/get_adhesion.R                                      |   26 
 DiagrammeR-1.0.5/DiagrammeR/R/get_agg_degree_in.R                                 |   50 
 DiagrammeR-1.0.5/DiagrammeR/R/get_agg_degree_out.R                                |   48 
 DiagrammeR-1.0.5/DiagrammeR/R/get_agg_degree_total.R                              |   46 
 DiagrammeR-1.0.5/DiagrammeR/R/get_all_connected_nodes.R                           |   24 
 DiagrammeR-1.0.5/DiagrammeR/R/get_alpha_centrality.R                              |   52 
 DiagrammeR-1.0.5/DiagrammeR/R/get_articulation_points.R                           |   14 
 DiagrammeR-1.0.5/DiagrammeR/R/get_attr_dfs.R                                      |   49 
 DiagrammeR-1.0.5/DiagrammeR/R/get_authority_centrality.R                          |   27 
 DiagrammeR-1.0.5/DiagrammeR/R/get_betweenness.R                                   |   23 
 DiagrammeR-1.0.5/DiagrammeR/R/get_bridging.R                                      |   25 
 DiagrammeR-1.0.5/DiagrammeR/R/get_cache.R                                         |   25 
 DiagrammeR-1.0.5/DiagrammeR/R/get_closeness.R                                     |   32 
 DiagrammeR-1.0.5/DiagrammeR/R/get_closeness_vitality.R                            |   26 
 DiagrammeR-1.0.5/DiagrammeR/R/get_cmty_edge_btwns.R                               |   22 
 DiagrammeR-1.0.5/DiagrammeR/R/get_cmty_fast_greedy.R                              |   25 
 DiagrammeR-1.0.5/DiagrammeR/R/get_cmty_l_eigenvec.R                               |   24 
 DiagrammeR-1.0.5/DiagrammeR/R/get_cmty_louvain.R                                  |   23 
 DiagrammeR-1.0.5/DiagrammeR/R/get_cmty_walktrap.R                                 |   27 
 DiagrammeR-1.0.5/DiagrammeR/R/get_common_nbrs.R                                   |   16 
 DiagrammeR-1.0.5/DiagrammeR/R/get_constraint.R                                    |   32 
 DiagrammeR-1.0.5/DiagrammeR/R/get_coreness.R                                      |   32 
 DiagrammeR-1.0.5/DiagrammeR/R/get_degree_distribution.R                           |   33 
 DiagrammeR-1.0.5/DiagrammeR/R/get_degree_histogram.R                              |   31 
 DiagrammeR-1.0.5/DiagrammeR/R/get_degree_in.R                                     |   29 
 DiagrammeR-1.0.5/DiagrammeR/R/get_degree_out.R                                    |   30 
 DiagrammeR-1.0.5/DiagrammeR/R/get_degree_total.R                                  |   30 
 DiagrammeR-1.0.5/DiagrammeR/R/get_dice_similarity.R                               |   43 
 DiagrammeR-1.0.5/DiagrammeR/R/get_eccentricity.R                                  |   36 
 DiagrammeR-1.0.5/DiagrammeR/R/get_edge_attrs.R                                    |   42 
 DiagrammeR-1.0.5/DiagrammeR/R/get_edge_attrs_ws.R                                 |   47 
 DiagrammeR-1.0.5/DiagrammeR/R/get_edge_count_w_multiedge.R                        |   34 
 DiagrammeR-1.0.5/DiagrammeR/R/get_edge_df.R                                       |   19 
 DiagrammeR-1.0.5/DiagrammeR/R/get_edge_df_ws.R                                    |   35 
 DiagrammeR-1.0.5/DiagrammeR/R/get_edge_ids.R                                      |   40 
 DiagrammeR-1.0.5/DiagrammeR/R/get_edge_info.R                                     |   29 
 DiagrammeR-1.0.5/DiagrammeR/R/get_edges.R                                         |   70 
 DiagrammeR-1.0.5/DiagrammeR/R/get_eigen_centrality.R                              |   32 
 DiagrammeR-1.0.5/DiagrammeR/R/get_girth.R                                         |   29 
 DiagrammeR-1.0.5/DiagrammeR/R/get_global_graph_attr_info.R                        |   19 
 DiagrammeR-1.0.5/DiagrammeR/R/get_graph_actions.R                                 |   25 
 DiagrammeR-1.0.5/DiagrammeR/R/get_graph_from_graph_series.R                       |   15 
 DiagrammeR-1.0.5/DiagrammeR/R/get_graph_info.R                                    |   17 
 DiagrammeR-1.0.5/DiagrammeR/R/get_graph_log.R                                     |   23 
 DiagrammeR-1.0.5/DiagrammeR/R/get_graph_name.R                                    |   23 
 DiagrammeR-1.0.5/DiagrammeR/R/get_graph_series_info.R                             |   21 
 DiagrammeR-1.0.5/DiagrammeR/R/get_graph_time.R                                    |   20 
 DiagrammeR-1.0.5/DiagrammeR/R/get_jaccard_similarity.R                            |   44 
 DiagrammeR-1.0.5/DiagrammeR/R/get_last_edges_created.R                            |   37 
 DiagrammeR-1.0.5/DiagrammeR/R/get_last_nodes_created.R                            |   40 
 DiagrammeR-1.0.5/DiagrammeR/R/get_leverage_centrality.R                           |   36 
 DiagrammeR-1.0.5/DiagrammeR/R/get_max_eccentricity.R                              |   23 
 DiagrammeR-1.0.5/DiagrammeR/R/get_mean_distance.R                                 |   22 
 DiagrammeR-1.0.5/DiagrammeR/R/get_min_cut_between.R                               |   29 
 DiagrammeR-1.0.5/DiagrammeR/R/get_min_eccentricity.R                              |   32 
 DiagrammeR-1.0.5/DiagrammeR/R/get_multiedge_count.R                               |   35 
 DiagrammeR-1.0.5/DiagrammeR/R/get_nbrs.R                                          |   24 
 DiagrammeR-1.0.5/DiagrammeR/R/get_node_attrs.R                                    |   42 
 DiagrammeR-1.0.5/DiagrammeR/R/get_node_attrs_ws.R                                 |   46 
 DiagrammeR-1.0.5/DiagrammeR/R/get_node_df.R                                       |   17 
 DiagrammeR-1.0.5/DiagrammeR/R/get_node_df_ws.R                                    |   39 
 DiagrammeR-1.0.5/DiagrammeR/R/get_node_ids.R                                      |   43 
 DiagrammeR-1.0.5/DiagrammeR/R/get_node_info.R                                     |   38 
 DiagrammeR-1.0.5/DiagrammeR/R/get_non_nbrs.R                                      |   22 
 DiagrammeR-1.0.5/DiagrammeR/R/get_pagerank.R                                      |   27 
 DiagrammeR-1.0.5/DiagrammeR/R/get_paths.R                                         |   39 
 DiagrammeR-1.0.5/DiagrammeR/R/get_periphery.R                                     |   22 
 DiagrammeR-1.0.5/DiagrammeR/R/get_predecessors.R                                  |   23 
 DiagrammeR-1.0.5/DiagrammeR/R/get_radiality.R                                     |   27 
 DiagrammeR-1.0.5/DiagrammeR/R/get_reciprocity.R                                   |   27 
 DiagrammeR-1.0.5/DiagrammeR/R/get_s_connected_cmpts.R                             |   28 
 DiagrammeR-1.0.5/DiagrammeR/R/get_selection.R                                     |   57 
 DiagrammeR-1.0.5/DiagrammeR/R/get_similar_nbrs.R                                  |   55 
 DiagrammeR-1.0.5/DiagrammeR/R/get_successors.R                                    |   23 
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 DiagrammeR-1.0.5/DiagrammeR/R/grViz.R                                             |  154 -
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 DiagrammeR-1.0.5/DiagrammeR/R/is_edge_mutual.R                                    |   27 
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 DiagrammeR-1.0.5/DiagrammeR/R/is_graph_connected.R                                |   16 
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 DiagrammeR-1.0.5/DiagrammeR/R/mutate_edge_attrs.R                                 |   47 
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 DiagrammeR-1.0.5/DiagrammeR/R/nudge_node_positions_ws.R                           |   62 
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 DiagrammeR-1.0.5/DiagrammeR/R/pipe.R                                              |    6 
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 DiagrammeR-1.0.5/DiagrammeR/R/rev_edge_dir.R                                      |   23 
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 DiagrammeR-1.0.5/DiagrammeR/R/save_graph.R                                        |   32 
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 DiagrammeR-1.0.5/DiagrammeR/R/select_edges_by_node_id.R                           |   95 
 DiagrammeR-1.0.5/DiagrammeR/R/select_last_edges_created.R                         |   38 
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 DiagrammeR-1.0.5/DiagrammeR/R/set_graph_time.R                                    |   26 
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 DiagrammeR-1.0.5/DiagrammeR/R/set_node_attrs_ws.R                                 |   62 
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 DiagrammeR-1.0.5/DiagrammeR/R/spectools.R                                         |   13 
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 DiagrammeR-1.0.5/DiagrammeR/R/transform_to_min_spanning_tree.R                    |   20 
 DiagrammeR-1.0.5/DiagrammeR/R/transform_to_subgraph_ws.R                          |   94 
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 DiagrammeR-1.0.5/DiagrammeR/R/trav_in_edge.R                                      |   87 
 DiagrammeR-1.0.5/DiagrammeR/R/trav_in_node.R                                      |  108 
 DiagrammeR-1.0.5/DiagrammeR/R/trav_in_until.R                                     |   94 
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 DiagrammeR-1.0.5/DiagrammeR/R/trav_out_until.R                                    |   94 
 DiagrammeR-1.0.5/DiagrammeR/R/trav_reverse_edge.R                                 |   61 
 DiagrammeR-1.0.5/DiagrammeR/R/trigger_graph_actions.R                             |   39 
 DiagrammeR-1.0.5/DiagrammeR/R/utils.R                                             |  291 +-
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 DiagrammeR-1.0.5/DiagrammeR/R/x11_hex.R                                           |    9 
 DiagrammeR-1.0.5/DiagrammeR/R/zzz.R                                               |only
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 DiagrammeR-1.0.5/DiagrammeR/inst/htmlwidgets/lib/viz/viz.js                       | 1442 +---------
 DiagrammeR-1.0.5/DiagrammeR/man/DiagrammeR.Rd                                     |   37 
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Package DAIME updated to version 2.1.1 with previous version 2.1 dated 2020-01-09

Title: Effects of Changing Deposition Rates
Description: Reverse and model the effects of changing deposition rates on geological data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .
Author: Niklas Hohmann
Maintainer: Niklas Hohmann <Niklas.Hohmann@fau.de>

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Package ggspectra updated to version 0.3.5 with previous version 0.3.4 dated 2019-09-12

Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>)
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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 98 files changed, 7511 insertions(+), 6691 deletions(-)

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Package EBPRS updated to version 2.0.1 with previous version 1.2.2 dated 2019-11-07

Title: Derive Polygenic Risk Score Based on Emprical Bayes Theory
Description: EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2. See Song et al. (2019) <doi:10.1371/journal.pcbi.1007565> for a detailed presentation of the method.
Author: Shuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
Maintainer: Shuang Song <song-s19@mails.tsinghua.edu.cn>

Diff between EBPRS versions 1.2.2 dated 2019-11-07 and 2.0.1 dated 2020-01-16

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 23 files changed, 292 insertions(+), 251 deletions(-)

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New package cobs with initial version 1.3-3
Package: cobs
Version: 1.3-3
Date: 2017-03-29
Title: Constrained B-Splines (Sparse Matrix Based)
Description: Qualitatively Constrained (Regression) Smoothing Splines via Linear Programming and Sparse Matrices.
Author: Pin T. Ng <Pin.Ng@nau.edu> and Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Depends: R (>= 2.15.1)
Imports: SparseM (>= 1.6), quantreg (>= 4.65), grDevices, graphics, splines, stats, methods
LazyData: yes
BuildResaveData: no
URL: http://curves-etc.r-forge.r-project.org/ http://r-forge.r-project.org/R/?group_id=846
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2017-03-30 14:12:28 UTC; maechler
Repository: CRAN
Date/Publication: 2017-03-31 17:23:46 UTC
X-CRAN-Comment: Archived on 2020-01-16 as check issues were not corrected in time. 'Additional issues'

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New package ChillModels with initial version 1.0.2
Package: ChillModels
Title: Processing Chill and Heat Models for Temperate Fruit Trees
Version: 1.0.2
Authors@R: c(person("Rafael Henrique", "Pertille", email = "henriquepertille@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0002-4888-2001")), person("Marcos Robson", "Sachet", email = "marcos.sachet@gmail.com", role = c("aut","ctb"), comment = c(ORCID = "0000-0002-0395-2475")), person("Idemir", "Citadin", email = "idemir@utfpr.edu.br", role = c("aut","ctb"), comment = c(ORCID = "0000-0001-9416-2761")), person("Marieli Teresinha", "Guerrezi", email = "marieliguerrezi@hotmail.com", role = c("aut","ctb"), comment = c(ORCID = "0000-0003-3314-4046")))
Description: Calculates the chilling and heat accumulation for studies of the temperate fruit trees. The models in this package are: Utah (Richardson et al., 1974, ISSN:0018-5345), Positive Chill Units - PCU (Linsley-Noaks et al., 1995, ISSN:1017-0316), GDH-A - Growing Degree Hours by Anderson et al.(1986, ISSN:0567-7572), GDH-R - Growing Degree Hours by Richardson et al.(1975, ISSN:0018-5345), North Carolina (Shaltout e Unrath, 1983, ISSN:0003-1062), Landsberg Model (Landsberg, 1974, ISSN:0305-7364), Q10 Model (Bidabe, 1967, ISSN:0031-9368), Jones Model (Jones et al., 2013 <DOI:10.1111/j.1438-8677.2012.00590.x>), Low-Chill Model (Gilreath and Buchanan, 1981, ISSN:0003-1062), Model for Cherry "Sweetheart" (Guak and Nielsen, 2013 <DOI:10.1007/s13580-013-0140-9>), Model for apple "Gala" (Guak and Nielsen, 2013 <DOI:10.1007/s13580-013-0140-9>), Taiwan Model (Lu et al., 2012 <DOI:10.17660/ActaHortic.2012.962.35>), Dynamic Model (Fishman et al., 1987, ISSN:0022-5193) adapted from the function Dynamic_Model() of the 'chillR' package (Luedeling, 2018), Unified Model (Chuine et al., 2016 <DOI:10.1111/gcb.13383>) and Heat Restriction model.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.1.1
Suggests: chillR, dplyr, lubridate, ggplot2
NeedsCompilation: no
Packaged: 2020-01-16 13:57:18 UTC; Rafael
Author: Rafael Henrique Pertille [aut, cre] (<https://orcid.org/0000-0002-4888-2001>), Marcos Robson Sachet [aut, ctb] (<https://orcid.org/0000-0002-0395-2475>), Idemir Citadin [aut, ctb] (<https://orcid.org/0000-0001-9416-2761>), Marieli Teresinha Guerrezi [aut, ctb] (<https://orcid.org/0000-0003-3314-4046>)
Maintainer: Rafael Henrique Pertille <henriquepertille@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-16 16:50:06 UTC

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Package mixsqp (with last version 0.2-2) was removed from CRAN

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

2019-10-16 0.2-2
2019-02-18 0.1-97

Permanent link
Package ashr (with last version 2.2-39) was removed from CRAN

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

2019-10-17 2.2-39
2019-02-22 2.2-32

Permanent link
Package ReliabilityTheory (with last version 0.1.5) was removed from CRAN

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

2015-10-14 0.1.5
2014-06-12 0.1.4
2013-03-07 0.1.1
2012-10-30 0.1.0

Permanent link
Package PhaseType (with last version 0.1.3) was removed from CRAN

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

2012-10-16 0.1.3
2012-09-07 0.1.2
2012-08-23 0.1.1
2011-10-12 0.1.0

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Package opera (with last version 1.0) was removed from CRAN

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

2016-08-17 1.0

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Package swirl updated to version 2.4.5 with previous version 2.4.4 dated 2019-05-03

Title: Learn R, in R
Description: Use the R console as an interactive learning environment. Users receive immediate feedback as they are guided through self-paced lessons in data science and R programming.
Author: Sean Kross [aut, cre], Nick Carchedi [aut], Bill Bauer [aut], Gina Grdina [aut], Filip Schouwenaars [ctb], Wush Wu [ctb]
Maintainer: Sean Kross <sean@seankross.com>

Diff between swirl versions 2.4.4 dated 2019-05-03 and 2.4.5 dated 2020-01-16

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Package SupMZ updated to version 0.2.0 with previous version 0.1.0 dated 2019-05-24

Title: Detecting Structural Change with Heteroskedasticity
Description: Calculates the sup MZ value to detect the unknown structural break points under Heteroskedasticity as given in Ahmed et al. (2017) (<DOI: 10.1080/03610926.2016.1235200>).
Author: Muhammad Yaseen [aut, cre], Sami Ullah [aut, ctb], Gulfam Haider [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

Diff between SupMZ versions 0.1.0 dated 2019-05-24 and 0.2.0 dated 2020-01-16

 DESCRIPTION  |    8 +++----
 MD5          |   10 ++++-----
 NAMESPACE    |    3 ++
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 6 files changed, 79 insertions(+), 31 deletions(-)

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Package separationplot updated to version 1.3 with previous version 1.2 dated 2020-01-10

Title: Separation Plots
Description: Visual representations of model fit or predictive success in the form of "separation plots." See Greenhill, Brian, Michael D. Ward, and Audrey Sacks. "The separation plot: A new visual method for evaluating the fit of binary models." American Journal of Political Science 55.4 (2011): 991-1002.
Author: Brian D. Greenhill, Michael D. Ward and Audrey Sacks
Maintainer: Brian Greenhill <bgreenhill@albany.edu>

Diff between separationplot versions 1.2 dated 2020-01-10 and 1.3 dated 2020-01-16

 DESCRIPTION           |    8 ++++----
 MD5                   |    6 +++---
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 4 files changed, 13 insertions(+), 17 deletions(-)

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Package queryparser updated to version 0.2.0 with previous version 0.1.1 dated 2019-09-04

Title: Translate 'SQL' Queries into 'R' Expressions
Description: Translate 'SQL' 'SELECT' statements into lists of 'R' expressions.
Author: Ian Cook [aut, cre], Cloudera [cph]
Maintainer: Ian Cook <ian@cloudera.com>

Diff between queryparser versions 0.1.1 dated 2019-09-04 and 0.2.0 dated 2020-01-16

 DESCRIPTION                             |   20 +-
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 NAMESPACE                               |    2 
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More information about queryparser at CRAN
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Package gdalUtils updated to version 2.0.3 with previous version 2.0.1.14 dated 2018-04-22

Title: Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities
Description: Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities.
Author: Jonathan Asher Greenberg and Matteo Mattiuzzi
Maintainer: Jonathan Asher Greenberg <gdalUtils@estarcion.net>

Diff between gdalUtils versions 2.0.1.14 dated 2018-04-22 and 2.0.3 dated 2020-01-16

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More information about gdalUtils at CRAN
Permanent link

Package future updated to version 1.16.0 with previous version 1.15.1 dated 2019-11-25

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future versions 1.15.1 dated 2019-11-25 and 1.16.0 dated 2020-01-16

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More information about future at CRAN
Permanent link

Package ForecastFramework updated to version 0.10.3 with previous version 0.10.2 dated 2019-11-03

Title: A Basis for Modular Model Creation
Description: Create modular models. Quickly prototype models whose input includes (multiple) time series data. Create pieces of model use cases separately, and swap out particular models as desired. Create modeling competitions, data processing pipelines, and re-useable models.
Author: Joshua Kaminsky [aut, cre], Justin Lessler [aut], Nicholas Reich [aut]
Maintainer: Joshua Kaminsky <jkaminsky@jhu.edu>

Diff between ForecastFramework versions 0.10.2 dated 2019-11-03 and 0.10.3 dated 2020-01-16

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New package fracdiff with initial version 1.5-0
Package: fracdiff
Version: 1.5-0
VersionNote: Released 1.4-2 on 2012-12-01 on CRAN
Date: 2019-12-09
Title: Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models
Authors@R: c(person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910")) , person("Chris", "Fraley", role=c("ctb","cph"), comment = "S original; Fortran code") , person("Friedrich", "Leisch", role = "ctb", comment = c("R port", ORCID = "0000-0001-7278-1983")) , person("Valderio", "Reisen", role="ctb", comment = "fdGPH() & fdSperio()") , person("Artur", "Lemonte", role="ctb", comment = "fdGPH() & fdSperio()") , person("Rob", "Hyndman", email="Rob.Hyndman@monash.edu", role="ctb", comment = c("residuals() & fitted()", ORCID = "0000-0002-2140-5352")) )
Description: Maximum likelihood estimation of the parameters of a fractionally differenced ARIMA(p,d,q) model (Haslett and Raftery, Appl.Statistics, 1989); including inference and basic methods. Some alternative algorithms to estimate "H".
Imports: stats
Suggests: longmemo, forecast, urca
License: GPL (>= 2)
URL: https://github.com/mmaechler/fracdiff
BugReports: https://github.com/mmaechler/fracdiff/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-12-09 10:23:55 UTC; maechler
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Chris Fraley [ctb, cph] (S original; Fortran code), Friedrich Leisch [ctb] (R port, <https://orcid.org/0000-0001-7278-1983>), Valderio Reisen [ctb] (fdGPH() & fdSperio()), Artur Lemonte [ctb] (fdGPH() & fdSperio()), Rob Hyndman [ctb] (residuals() & fitted(), <https://orcid.org/0000-0002-2140-5352>)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2019-12-09 15:00:02 UTC
X-CRAN-Comment: Archived on 2020-01-16 as check issues were not corrected in time. 'Additional issues'

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Package daewr updated to version 1.1-8 with previous version 1.1-7 dated 2016-10-12

Title: Design and Analysis of Experiments with R
Description: Contains Data frames and functions used in the book "Design and Analysis of Experiments with R".
Author: John Lawson [aut, cre], Gerhard Krennrich [aut]
Maintainer: John Lawson <lawson@byu.edu>

Diff between daewr versions 1.1-7 dated 2016-10-12 and 1.1-8 dated 2020-01-16

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Package colocr (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:

2019-05-31 0.1.0

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Package spartan (with last version 3.0.2) was removed from CRAN

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

2018-11-19 3.0.2
2018-05-16 3.0.1
2017-09-06 3.0.0
2015-10-19 2.3
2015-04-13 2.2.1
2015-03-23 2.2
2014-08-19 2.1
2014-07-22 2.0
2014-03-19 1.3
2013-09-18 1.2.1
2012-11-07 1.2
2012-06-15 1.1
2012-05-17 1.0

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Package tsensembler (with last version 0.0.5) was removed from CRAN

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2019-07-05 0.0.5

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New package portalr with initial version 0.3.1
Package: portalr
Title: Create Useful Summaries of the Portal Data
Version: 0.3.1
Authors@R: c(person(c("Glenda", "M."), "Yenni", role = c("aut", "cre"), email = "glenda@weecology.org", comment = c(ORCID = "0000-0001-6969-1848")), person("Hao", "Ye", role = c("aut"), comment = c(ORCID = "0000-0002-8630-1458")), person(c("Erica", "M."), "Christensen", role = c("aut"), comment = c(ORCID = "0000-0002-5635-2502")), person(c("Juniper", "L."), "Simonis", role = c("aut"), comment = c(ORCID = "0000-0001-9798-0460")), person(c("Ellen", "K."), "Bledsoe", role = c("aut"), comment = c(ORCID = "0000-0002-3629-7235")), person(c("Renata", "M."), "Diaz", role = c("aut"), comment = c(ORCID = "0000-0003-0803-4734")), person(c("Shawn", "D."), "Taylor", role = c("aut"), comment = c(ORCID = "0000-0002-6178-6903")), person(c("Ethan", "P,"), "White", role = c("aut"), comment = c(ORCID = "0000-0001-6728-7745")), person(c("S.K.", "Morgan"), "Ernest", role = c("aut"), comment = c(ORCID = "0000-0002-6026-8530")))
Description: Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Project. Portal is a long-term (and ongoing) experimental monitoring site in the Chihuahua desert. The raw data files can be found at <https://github.com/weecology/portaldata>.
License: MIT + file LICENSE
URL: https://weecology.github.io/portalr/, https://github.com/weecology/portalr
BugReports: https://github.com/weecology/portalr/issues
LazyData: true
Depends: R (>= 3.2.3)
Imports: dplyr, tidyr, lubridate, magrittr, httr, rlang, forecast, lunar, tibble, usethis (>= 1.5.0), crayon, clisymbols, gh
Suggests: httptest, cowplot, knitr, rmarkdown, pkgdown, covr, ggplot2, testthat
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-15 22:46:04 UTC; GlendaYenni
Author: Glenda M. Yenni [aut, cre] (<https://orcid.org/0000-0001-6969-1848>), Hao Ye [aut] (<https://orcid.org/0000-0002-8630-1458>), Erica M. Christensen [aut] (<https://orcid.org/0000-0002-5635-2502>), Juniper L. Simonis [aut] (<https://orcid.org/0000-0001-9798-0460>), Ellen K. Bledsoe [aut] (<https://orcid.org/0000-0002-3629-7235>), Renata M. Diaz [aut] (<https://orcid.org/0000-0003-0803-4734>), Shawn D. Taylor [aut] (<https://orcid.org/0000-0002-6178-6903>), Ethan P, White [aut] (<https://orcid.org/0000-0001-6728-7745>), S.K. Morgan Ernest [aut] (<https://orcid.org/0000-0002-6026-8530>)
Maintainer: Glenda M. Yenni <glenda@weecology.org>
Repository: CRAN
Date/Publication: 2020-01-16 15:00:02 UTC

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Package BuyseTest updated to version 1.8.3 with previous version 1.8 dated 2019-11-13

Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with right-censoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better than a random observation drawn from the other group. The net benefit and win ratio statistics, i.e. the difference and ratio between the probabilities relative to the intervention and control groups, can then be estimated. Confidence intervals and p-values are obtained using permutations, a non-parametric bootstrap, or the asymptotic theory. The software enables the use of thresholds of minimal importance difference, stratification, non-prioritized endpoints (O'Brien test), and corrections to deal with missing values.
Author: Brice Ozenne [aut, cre] (<https://orcid.org/0000-0001-9694-2956>), Julien Peron [ctb], Eva Cantagallo [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between BuyseTest versions 1.8 dated 2019-11-13 and 1.8.3 dated 2020-01-16

 BuyseTest-1.8.3/BuyseTest/DESCRIPTION                                   |   35 
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 BuyseTest-1.8.3/BuyseTest/NAMESPACE                                     |    7 
 BuyseTest-1.8.3/BuyseTest/NEWS                                          |   39 
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 BuyseTest-1.8.3/BuyseTest/src/FCT_buyseTest.cpp                         |   31 
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2016-09-02 2.0.0
2016-02-12 1.3.2
2015-10-21 1.3.1
2015-07-28 1.3.0
2015-06-23 1.2.0
2015-05-05 1.1.4
2015-04-16 1.1.3

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2012-12-02 1.4-2
2012-03-22 1.4-1
2011-08-09 1.4-0
2009-06-09 1.3-2
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2015-01-06 1.3-0
2011-04-26 1.2-2
2010-08-11 1.2-1
2009-02-25 1.2-0
2009-01-11 1.1-6
2008-01-26 1.1-5
2006-10-02 1.1-3.5

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2019-11-25 0.7.3
2018-12-10 0.7.2
2018-06-20 0.7.1
2017-12-04 0.6.9
2017-11-07 0.6.5
2016-11-15 0.5.4
2016-10-22 0.5.3
2016-03-10 0.4.7
2016-03-07 0.4.5
2016-03-05 0.4.4

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Package sme (with last version 1.0.2) was removed from CRAN

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2018-02-09 1.0.2
2013-08-02 0.8

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Package nlr (with last version 0.1-3) was removed from CRAN

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2019-07-31 0.1-3

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Package easyr (with last version 0.1-1) was removed from CRAN

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2019-11-27 0.1-1
2019-11-13 0.1-0

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Package creditmodel (with last version 1.1.6) was removed from CRAN

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2019-11-12 1.1.6
2019-10-23 1.1.5
2019-09-29 1.1.4
2019-09-13 1.1.3
2019-09-02 1.1.2
2019-07-18 1.1.1
2019-05-18 1.1.0
2019-04-28 1.0

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Package projpred (with last version 1.1.4) was removed from CRAN

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2019-10-02 1.1.4
2019-05-31 1.1.2
2019-03-12 1.1.1
2018-10-23 1.1.0
2018-09-18 1.0.0
2018-04-16 0.8.0
2018-02-19 0.7.0

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Package bpkde (with last version 1.0-7) was removed from CRAN

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2014-09-09 1.0-7
2014-05-27 1.0-4
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2012-04-29 1.0

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Package sos4R (with last version 0.3.1) was removed from CRAN

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2019-03-29 2.0
2017-06-24 1.0

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Package tabula updated to version 1.5.0 with previous version 1.3.0 dated 2019-09-20

Title: Analysis, Seriation and Visualization of Archaeological Count Data
Description: An easy way to examine archaeological count data. This package provides a convenient and reproducible toolkit for relative and absolute dating and analysis of (chronological) patterns. It includes functions for matrix seriation (reciprocal ranking, CA-based seriation), chronological modeling and dating of archaeological assemblages and/or objects. Beyond these, the package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). The package make it easy to visualize count data and statistical thresholds: rank vs. abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>), Matthew Peeples [ctb] (<https://orcid.org/0000-0003-4496-623X>), Ben Marwick [ctb] (<https://orcid.org/0000-0001-7879-4531>), Anne Philippe [ctb], Jean-Baptiste Fourvel [ctb] (<https://orcid.org/0000-0002-1061-4642>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package smoof updated to version 1.6.0 with previous version 1.5.1 dated 2017-08-14

Title: Single and Multi-Objective Optimization Test Functions
Description: Provides generators for a high number of both single- and multi- objective test functions which are frequently used for the benchmarking of (numerical) optimization algorithms. Moreover, it offers a set of convenient functions to generate, plot and work with objective functions.
Author: Jakob Bossek [aut, cre], Pascal Kerschke [ctb]
Maintainer: Jakob Bossek <j.bossek@gmail.com>

Diff between smoof versions 1.5.1 dated 2017-08-14 and 1.6.0 dated 2020-01-16

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Package s2net updated to version 1.0.1 with previous version 1.0 dated 2020-01-13

Title: The Generalized Semi-Supervised Elastic-Net
Description: Implements the generalized semi-supervised elastic-net. This method extends the supervised elastic-net problem, and thus it is a practical solution to the problem of feature selection in semi-supervised contexts. Its mathematical formulation is presented from a general perspective, covering a wide range of models. We focus on linear and logistic responses, but the implementation could be easily extended to other losses in generalized linear models. We develop a flexible and fast implementation, written in 'C++' using 'RcppArmadillo' and integrated into R via 'Rcpp' modules. See Culp, M. 2013 <doi:10.1080/10618600.2012.657139> for references on the Joint Trained Elastic-Net.
Author: Juan C. Laria [aut, cre] (<https://orcid.org/0000-0001-7734-9647>), Line H. Clemmensen [aut]
Maintainer: Juan C. Laria <juank.laria@gmail.com>

Diff between s2net versions 1.0 dated 2020-01-13 and 1.0.1 dated 2020-01-16

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Package rrcovNA updated to version 0.4-15 with previous version 0.4-13 dated 2019-10-22

Title: Scalable Robust Estimators with High Breakdown Point for Incomplete Data
Description: Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point for Incomplete Data (missing values) (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).
Author: Valentin Todorov <valentin.todorov@chello.at>
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

Diff between rrcovNA versions 0.4-13 dated 2019-10-22 and 0.4-15 dated 2020-01-16

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Package RAMP updated to version 2.0.2 with previous version 2.0.1 dated 2017-05-24

Title: Regularized Generalized Linear Models with Interaction Effects
Description: Provides an efficient procedure for fitting the entire solution path for high-dimensional regularized quadratic generalized linear models with interactions effects under the strong or weak heredity constraint.
Author: Yang Feng [aut, cre], Ning Hao [aut], Hao Helen Zhang [aut]
Maintainer: Yang Feng <yangfengstat@gmail.com>

Diff between RAMP versions 2.0.1 dated 2017-05-24 and 2.0.2 dated 2020-01-16

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 6 files changed, 25 insertions(+), 16 deletions(-)

More information about RAMP at CRAN
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Package PMA updated to version 1.2 with previous version 1.1 dated 2019-01-29

Title: Penalized Multivariate Analysis
Description: Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008> and Witten and Tibshirani (2009) Extensions of sparse canonical correlation analysis, with applications to genomic data <doi:10.2202/1544-6115.1470>.
Author: Daniela Witten and Rob Tibshirani
Maintainer: Rob Tibshirani <tibs@stanford.edu>

Diff between PMA versions 1.1 dated 2019-01-29 and 1.2 dated 2020-01-16

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 PMA-1.2/PMA/R/PlotFusedLasso.R      |   47 +++
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New package muHVT with initial version 1.0.0
Package: muHVT
Type: Package
Date: 2020-01-09
Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmap for Data Analysis
Version: 1.0.0
Authors@R: c( person("Sangeet", "Das", email = "dassangeet768@gmail.com", role = "aut"), person("Zubin", "Dowlaty", email = "zubin.dowlaty@mu-sigma.com", role = "aut"), person("Avinash", "Joshi", email = "avinash.joshi@mu-sigma.com", role = "aut"), person("Meet", "Dave", email = "meetdave06@gmail.com", role = "aut"), person("Shubhra", "Prakash", email = "Shubhra.Prakash@mu-sigma.com", role = c("ctb")), person("Mu Sigma, Inc.", email = "ird.experiencelab@mu-sigma.com", role = c("cre")))
Description: Constructing hierarchical Voronoi tessellations for a given data set and overlay heatmap for variables at various levels of the tessellations for in-depth data analysis. See <https://en.wikipedia.org/wiki/Voronoi_diagram> for more information. Credits to Mu Sigma for their continuous support throughout the development of the package.
License: Apache License 2.0
Encoding: UTF-8
Imports: MASS, deldir, grDevices, splancs, sp, conf.design, Hmisc, dplyr, purrr, gtools, magrittr, plyr, polyclip, rgeos, ggplot2
Depends: R (>= 3.5.0)
BugReports: https://github.com/Mu-Sigma/muHVT/issues
URL: https://github.com/Mu-Sigma/muHVT
LazyData: true
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown, testthat,geozoo,plotly,kableExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-15 20:46:57 UTC; test
Author: Sangeet Das [aut], Zubin Dowlaty [aut], Avinash Joshi [aut], Meet Dave [aut], Shubhra Prakash [ctb], Mu Sigma, Inc. [cre]
Maintainer: "Mu Sigma, Inc." <ird.experiencelab@mu-sigma.com>
Repository: CRAN
Date/Publication: 2020-01-16 13:30:03 UTC

More information about muHVT at CRAN
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Package MortalityLaws updated to version 1.8.3 with previous version 1.8.2 dated 2019-11-26

Title: Parametric Mortality Models, Life Tables and HMD
Description: Fit the most popular human mortality 'laws', and construct full and abridge life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>. Practical functions for downloading data from various human mortality databases are provided as well.
Author: Marius D. Pascariu [aut, cre, cph] (<https://orcid.org/0000-0002-2568-6489>), Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu@outlook.com>

Diff between MortalityLaws versions 1.8.2 dated 2019-11-26 and 1.8.3 dated 2020-01-16

 DESCRIPTION                     |    6 +++---
 MD5                             |    8 ++++----
 inst/doc/Installation.pdf       |binary
 inst/doc/Intro.pdf              |binary
 tests/testthat/test_LifeTable.R |    7 +++----
 5 files changed, 10 insertions(+), 11 deletions(-)

More information about MortalityLaws at CRAN
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Package knor updated to version 0.0-7 with previous version 0.0-6 dated 2018-09-13

Title: Non-Uniform Memory Access ('NUMA') Optimized, Parallel K-Means
Description: The k-means 'NUMA' Optimized Routine library or 'knor' is a highly optimized and fast library for computing k-means in parallel with accelerations for Non-Uniform Memory Access ('NUMA') architectures. Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns (2017) <arXiv:1606.08905>.
Author: Disa Mhembere [aut, cre], Neurodata (https://neurodata.io) [cph]
Maintainer: Disa Mhembere <disa@cs.jhu.edu>

Diff between knor versions 0.0-6 dated 2018-09-13 and 0.0-7 dated 2020-01-16

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 src/rinterface.cpp                           |    5 ++---
 tests/testthat/test-knori.R                  |   24 ------------------------
 13 files changed, 72 insertions(+), 103 deletions(-)

More information about knor at CRAN
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Package frailtypack updated to version 3.1.0 with previous version 3.0.3.2.1 dated 2019-10-30

Title: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction; Evaluation of Failure-Time Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. 10) Joint frailty models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints 11) Two-part joint model for longitudinal semicontinuous data and a terminal event. Prediction values are available (for a terminal event or for a new recurrent event). Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models. Moreover, the package can be used with its shiny application, in a local mode or by following the link below.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Amadou Diakite, Alexandre Laurent, Myriam Lopez, Agnieszka Krol, Casimir L. Sofeu, Julien Dumerc, Denis Rustand
Maintainer: Virginie Rondeau <Virginie.Rondeau@inserm.fr>

Diff between frailtypack versions 3.0.3.2.1 dated 2019-10-30 and 3.1.0 dated 2020-01-16

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 src/funcpajlongisplines.f90            |  377 +
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 99 files changed, 12010 insertions(+), 2573 deletions(-)

More information about frailtypack at CRAN
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Package fitODBOD updated to version 1.4.1-1 with previous version 1.4.1 dated 2019-07-02

Title: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Description: Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).
Author: Amalan Mahendran [aut, cre] (<https://orcid.org/0000-0002-0643-9052>), Pushpakanthie Wijekoon [aut, ctb] (<https://orcid.org/0000-0003-4242-1017>)
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

Diff between fitODBOD versions 1.4.1 dated 2019-07-02 and 1.4.1-1 dated 2020-01-16

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More information about fitODBOD at CRAN
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Package farver updated to version 2.0.3 with previous version 2.0.2 dated 2020-01-09

Title: High Performance Colour Space Manipulation
Description: The encoding of colour can be handled in many different ways, using different colour spaces. As different colour spaces have different uses, efficient conversion between these representations are important. The 'farver' package provides a set of functions that gives access to very fast colour space conversion and comparisons implemented in C++, and offers speed improvements over the 'convertColor' function in the 'grDevices' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), Berendea Nicolae [aut] (Author of the ColorSpace C++ library), Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>)
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between farver versions 2.0.2 dated 2020-01-09 and 2.0.3 dated 2020-01-16

 DESCRIPTION                      |    8 -
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 19 files changed, 319 insertions(+), 139 deletions(-)

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Package ExtremalDep updated to version 0.0.3-3 with previous version 0.0.3-1 dated 2019-08-29

Title: Extremal Dependence Models
Description: A set of procedures for modelling parametrically and non-parametrically the dependence structure of multivariate extreme-values is provided. The statistical inference is performed with non-parametric estimators, likelihood-based estimators and Bayesian techniques. Adapts the methodologies derived in Beranger et al. (2019) <arxiv:1904.08251>, Beranger et al. (2017) <doi:10.1111/sjos.12240>, Beranger and Padoan (2015) <arxiv:1508.05561>, Marcon et al. (2017) <doi:10.1002/sta4.145>, Marcon et al. (2017) <doi:10.1016/j.jspi.2016.10.004> and Marcon et al. (2016) <doi:10.1214/16-EJS1162>. It also refers to the works of Bortot (2010) <https://pdfs.semanticscholar.org/b0dc/1cb608d35bf515c76e39aacc14b4de82e281.pdf>, Padoan (2011) <doi:10.1016/j.jmva.2011.01.014>, Cooley et al. (2010) <doi:10.1016/j.jmva.2010.04.007>, Husler and Reiss (1989) <doi:10.1016/0167-7152(89)90106-5>, Engelke et al. (2015) <doi:10.1111/rssb.12074>, Coles and Tawn (1991) <doi:10.1111/j.2517-6161.1991.tb01830.x>, Nikoloulopoulos et al. (2011) <doi:10.1007/s10687-008-0072-4>, Opitz (2013) <doi:10.1016/j.jmva.2013.08.008>, Tawn (1990) <doi:10.2307/2336802>, Azzalini (1985) <https://www.jstor.org/stable/pdf/4615982.pdf>, Azzalini and Capitanio (2014) <doi:10.1017/CBO9781139248891>, Azzalini (2003) <doi:10.1111/1467-9469.00322>, Azzalini and Capitanio (1999) <doi:10.1111/1467-9868.00194>, Azzalini and Dalla Valle (1996) <doi:10.1093/biomet/83.4.715>, Einmahl et al. (2013) <doi:10.1007/s10687-012-0156-z>, Naveau et al (2009) <doi:10.1093/biomet/asp001> and Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>.
Author: Boris Beranger [aut], Simone Padoan [cre, aut], Giulia Marcon [aut], Steven G. Johnson [ctb] (Author of included cubature fragments)
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

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Package diversitree updated to version 0.9-13 with previous version 0.9-11 dated 2019-03-14

Title: Comparative 'Phylogenetic' Analyses of Diversification
Description: Contains a number of comparative 'phylogenetic' methods, mostly focusing on analysing diversification and character evolution. Contains implementations of 'BiSSE' (Binary State 'Speciation' and Extinction) and its unresolved tree extensions, 'MuSSE' (Multiple State 'Speciation' and Extinction), 'QuaSSE', 'GeoSSE', and 'BiSSE-ness' Other included methods include Markov models of discrete and continuous trait evolution and constant rate 'speciation' and extinction.
Author: Richard G. FitzJohn [aut, cre], Emma Goldberg [aut], Karen Magnuson-Ford [aut], Roger Sidje [aut]
Maintainer: Richard G. FitzJohn <rich.fitzjohn@gmail.com>

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Package bridgesampling updated to version 0.8-1 with previous version 0.7-2 dated 2019-07-21

Title: Bridge Sampling for Marginal Likelihoods and Bayes Factors
Description: Provides functions for estimating marginal likelihoods, Bayes factors, posterior model probabilities, and normalizing constants in general, via different versions of bridge sampling (Meng & Wong, 1996, <http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>).
Author: Quentin F. Gronau [aut, cre] (<https://orcid.org/0000-0001-5510-6943>), Henrik Singmann [aut] (<https://orcid.org/0000-0002-4842-3657>), Jonathan J. Forster [ctb], Eric-Jan Wagenmakers [ths], The JASP Team [ctb], Jiqiang Guo [ctb], Jonah Gabry [ctb], Ben Goodrich [ctb], Kees Mulder [ctb], Perry de Valpine [ctb]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>

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Package RcppRedis updated to version 0.1.10 with previous version 0.1.9 dated 2018-10-27

Title: 'Rcpp' Bindings for 'Redis' using the 'hiredis' Library
Description: Connection to the 'Redis' key/value store using the C-language client library 'hiredis' (included as a fallback) with 'MsgPack' encoding provided via 'RcppMsgPack' headers.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package finbif updated to version 0.2.0 with previous version 0.1.0 dated 2019-11-19

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: LUOMUS - Finnish Museum of Natural History [cph], William Morris [aut, cre] (<https://orcid.org/0000-0002-8686-4154>)
Maintainer: William Morris <willi@mmorris.email>

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 finbif-0.2.0/finbif/DESCRIPTION                                                                              |   23 
 finbif-0.2.0/finbif/LICENSE                                                                                  |    2 
 finbif-0.2.0/finbif/MD5                                                                                      |  220 
 finbif-0.2.0/finbif/NAMESPACE                                                                                |    1 
 finbif-0.2.0/finbif/NEWS.md                                                                                  |   10 
 finbif-0.2.0/finbif/R/filters.R                                                                              |   20 
 finbif-0.2.0/finbif/R/finbif_api_get.R                                                                       |    8 
 finbif-0.2.0/finbif/R/finbif_check_taxa.R                                                                    |    2 
 finbif-0.2.0/finbif/R/finbif_collections.R                                                                   |   24 
 finbif-0.2.0/finbif/R/finbif_informal_groups.R                                                               |    5 
 finbif-0.2.0/finbif/R/finbif_metadata.R                                                                      |    8 
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 finbif-0.2.0/finbif/R/finbif_taxa.R                                                                          |    6 
 finbif-0.2.0/finbif/R/methods.R                                                                              |   20 
 finbif-0.2.0/finbif/R/sysdata.rda                                                                            |binary
 finbif-0.2.0/finbif/R/utils.R                                                                                |   48 
 finbif-0.2.0/finbif/README.md                                                                                |   54 
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 finbif-0.2.0/finbif/man/as.data.frame.finbif_records.Rd                                                      |    4 
 finbif-0.2.0/finbif/man/filters.Rd                                                                           |   30 
 finbif-0.2.0/finbif/man/finbif-package.Rd                                                                    |   28 
 finbif-0.2.0/finbif/man/finbif_check_taxa.Rd                                                                 |    2 
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2019-11-11 2.16.17

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2018-08-23 1.5.1
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2018-01-24 0.1.1
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2017-06-01 0.1.0

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2014-05-07 0.1

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2019-05-22 1.7.7

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2018-03-22 1.1
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2013-04-05 0.5.9
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2018-04-30 0.1.2

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2019-07-12 0.0.4
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Package RRphylo updated to version 2.4.0 with previous version 2.0.3 dated 2019-02-25

Title: Phylogenetic Ridge Regression Methods for Comparative Studies
Description: Functions for phylogenetic analysis (Castiglione et al, 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
Author: Pasquale Raia, Silvia Castiglione, Carmela Serio, Alessandro Mondanaro, Marina Melchionna, Mirko Di Febbraro, Antonio Profico, Francesco Carotenuto
Maintainer: Pasquale Raia <pasquale.raia@unina.it>

Diff between RRphylo versions 2.0.3 dated 2019-02-25 and 2.4.0 dated 2020-01-16

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New package policytree with initial version 0.9.0
Package: policytree
Title: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees
Version: 0.9.0
Authors@R: c( person("Zhengyuan", "Zhou", role = "aut"), person("Susan", "Athey", role = "aut"), person("Stefan", "Wager", role = "aut"), person("Ayush", "Kanodia", role = "aut"), person("Erik", "Sverdrup", role = "cre", email = "erikcs@stanford.edu") )
Description: Multi-action treatment effect estimation and policy learning as in Zhou, Athey and Wager (2018) <arXiv:1810.04778>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0), DiagrammeR
RoxygenNote: 7.0.1
LinkingTo: Rcpp, BH
Imports: Rcpp, grf (>= 1.0.0)
URL: https://github.com/grf-labs/policytree
NeedsCompilation: yes
Packaged: 2020-01-13 17:26:43 UTC; erik
Author: Zhengyuan Zhou [aut], Susan Athey [aut], Stefan Wager [aut], Ayush Kanodia [aut], Erik Sverdrup [cre]
Maintainer: Erik Sverdrup <erikcs@stanford.edu>
Repository: CRAN
Date/Publication: 2020-01-16 11:40:02 UTC

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New package packageDiff with initial version 0.1
Package: packageDiff
Title: Compare R Package Differences
Version: 0.1
Date: 2019-12-31
Authors@R: person("Cole", "Beck", role = c("aut","cre"), email = "cole.beck@vumc.org", comment = c(ORCID = "0000-0002-6849-6255"))
Description: It provides utility functions for investigating changes within R packages. The pkgInfo() function extracts package information such as exported and non-exported functions as well as their arguments. The pkgDiff() function compares this information for two versions of a package and creates a diff file viewable in a browser.
Imports: diffr, htmlwidgets
License: GPL (>= 2)
Depends: R (>= 2.10)
URL: https://github.com/couthcommander/packageDiff
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-13 16:19:45 UTC; beckca
Author: Cole Beck [aut, cre] (<https://orcid.org/0000-0002-6849-6255>)
Maintainer: Cole Beck <cole.beck@vumc.org>
Repository: CRAN
Date/Publication: 2020-01-16 11:30:02 UTC

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Package NGBVS updated to version 0.2.0 with previous version 0.1.0 dated 2019-11-04

Title: Bayesian Variable Selection for SNP Data using Normal-Gamma
Description: Posterior distribution of case-control fine-mapping. Specifically, Bayesian variable selection for single-nucleotide polymorphism (SNP) data using the normal-gamma prior. Alenazi A.A., Cox A., Juarez M,. Lin W-Y. and Walters, K. (2019) Bayesian variable selection using partially observed categorical prior information in fine-mapping association studies, Genetic Epidemiology. <doi:10.1002/gepi.22213>.
Author: Abdulaziz Alenazi [aut, cre]
Maintainer: Abdulaziz Alenazi <a.alenazi@nbu.edu.sa>

Diff between NGBVS versions 0.1.0 dated 2019-11-04 and 0.2.0 dated 2020-01-16

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Package inpdfr updated to version 0.1.11 with previous version 0.1.8 dated 2018-10-24

Title: Analyse Text Documents Using Ecological Tools
Description: A set of functions to analyse and compare texts, using classical text mining functions, as well as those from theoretical ecology.
Author: Rebaudo Francois (IRD, UMR EGCE, IRD, CNRS, Univ. ParisSaclay)
Maintainer: Rebaudo Francois <francois.rebaudo@ird.fr>

Diff between inpdfr versions 0.1.8 dated 2018-10-24 and 0.1.11 dated 2020-01-16

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New package matchmaker with initial version 0.1.0
Package: matchmaker
Title: Flexible Dictionary-Based Cleaning
Version: 0.1.0
Authors@R: c( person(given = "Zhian N.", family = "Kamvar", role = c("aut", "cre"), email = "zkamvar@gmail.com", comment = c(ORCID = "0000-0003-1458-7108")), person(given = "Thibaut", family = "Jombart", email = "thibautjombart@gmail.com", role = c("ctb")), person(given = "Patrick", family = "Barks", email = "patrick.barks@epicentre.msf.org", role = c("ctb")))
Description: Provides flexible dictionary-based cleaning that allows users to specify implicit and explicit missing data, regular expressions for both data and columns, and global matches, while respecting ordering of factors. This package is part of the 'RECON' (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
URL: https://www.repidemicsconsortium.org/matchmaker, https://github.com/reconhub/matchmaker
License: GPL-3
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: rlang, forcats, cli
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-13 14:53:01 UTC; zkamvar
Author: Zhian N. Kamvar [aut, cre] (<https://orcid.org/0000-0003-1458-7108>), Thibaut Jombart [ctb], Patrick Barks [ctb]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-16 11:10:02 UTC

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New package bacondecomp with initial version 0.1.0
Package: bacondecomp
Type: Package
Title: Goodman-Bacon Decomposition
Version: 0.1.0
Authors@R: c( person("Evan", "Flack", email = "evanjflack@gmail.com", role = c("aut", "cre")), person("Edward", "Jee", role = c("aut")) )
Maintainer: Evan Flack <evanjflack@gmail.com>
Description: Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon (2018) <doi:10.3386/w25018>.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat, ggplot2, covr
VignetteBuilder: knitr
RoxygenNote: 7.0.2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-01-13 17:52:58 UTC; rstudio
Author: Evan Flack [aut, cre], Edward Jee [aut]
Repository: CRAN
Date/Publication: 2020-01-16 11:40:06 UTC

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Package automl updated to version 1.3.2 with previous version 1.3.1 dated 2020-01-09

Title: Deep Learning with Metaheuristic
Description: Fits from simple regression to highly customizable deep neural networks either with gradient descent or metaheuristic, using automatic hyper parameters tuning and custom cost function. A mix inspired by the common tricks on Deep Learning and Particle Swarm Optimization.
Author: Alex Boulangé [aut, cre]
Maintainer: Alex Boulangé <aboul@free.fr>

Diff between automl versions 1.3.1 dated 2020-01-09 and 1.3.2 dated 2020-01-16

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Package siland updated to version 1.4.6 with previous version 1.4.5 dated 2019-12-13

Title: Spatial Influence of Landscape
Description: Method to estimate the spatial influence scales of landscape variables on a response variable. The method is based on Chandler and Hepinstall-Cymerman (2016) Estimating the spatial scales of landscape effects on abundance, Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.
Author: Carpentier F. and Martin O.
Maintainer: Martin Olivier <olivier.martin@inra.fr>

Diff between siland versions 1.4.5 dated 2019-12-13 and 1.4.6 dated 2020-01-16

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New package polyMatrix with initial version 0.2.4
Package: polyMatrix
Version: 0.2.4
Title: Infrastructure for Manipulation Polynomial Matrices
Description: Implementation of class "polyMatrix" for storing a matrix of polynomials and implements basic matrix operations; including a determinant and characteristic polynomial. It is based on the package 'polynom' and uses a lot of its methods to implement matrix operations. This package includes 2 methods of triangularization of polynomial matrices: Extended Euclidean algorithm which is most classical but numerically unstable; Sylvester algorithm based on LQ decomposition. Both methods are described in D. Henrion & M. Sebek, Reliable numerical methods for polynomial matrix triangularization, IEEE Transactions on Automatic Control (Volume 44, Issue 3, Mar 1999, Pages 497-508) <doi:10.1109/9.751344> and in Salah Labhalla, Henri Lombardi & Roger Marlin, Algorithmes de calcule de la reduction de Hermite d'une matrice a coefficients polynomeaux, Theoretical Computer Science (Volume 161, Issue 1-2, July 1996, Pages 69-92) <doi:10.1016/0304-3975(95)00090-9>.
Type: Package
Authors@R: c( person("Tamas", "Prohle", email="prohlet@ludens.elte.hu", role="aut"), person("Peter", "Prohle", email="prohlep@math.elte.hu", role="aut"), person("Nikolai", "Ryzhkov", email="namezys@gmail.com", role=c("aut", "cre")), person("Ildiko", "Laszlo", role="ctb", comment = c(ORCID = "0000-0003-2324-8183")), person("Ulas Onat", "Alakent", role="ctb") )
Imports: polynom
License: MIT + file LICENSE
Depends: R (>= 3.0), stats, MTS
Suggests: testthat
Repository: CRAN
URL: https://github.com/namezys/polymatrix
BugReports: https://github.com/namezys/polymatrix/issues
NeedsCompilation: no
Packaged: 2020-01-13 12:11:01 UTC; namezys
Author: Tamas Prohle [aut], Peter Prohle [aut], Nikolai Ryzhkov [aut, cre], Ildiko Laszlo [ctb] (<https://orcid.org/0000-0003-2324-8183>), Ulas Onat Alakent [ctb]
Maintainer: Nikolai Ryzhkov <namezys@gmail.com>
Date/Publication: 2020-01-16 10:30:02 UTC

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New package DSpoty with initial version 0.1.0
Package: DSpoty
Type: Package
Date: 2020-01-07
Title: Get 'Spotify' API Multiple Information
Version: 0.1.0
Author: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Maintainer: Alberto Almuiña <albertogonzalezalmuinha@gmail.com>
Description: You can retrieve 'Spotify' API Information such as artists, albums, tracks, features tracks, recommendations or related artists. This package allows you to search all the information by name and also includes a distance based algorithm to find similar songs. More information: <https://developer.spotify.com/documentation/web-api/> .
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/AlbertoAlmuinha/DSpoty
Imports: dplyr, purrr, httr, stringr
NeedsCompilation: no
Packaged: 2020-01-13 13:29:18 UTC; albgonzal
Repository: CRAN
Date/Publication: 2020-01-16 10:50:02 UTC

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New package demoShiny with initial version 0.1
Package: demoShiny
Title: Runs a 'Shiny' App as Demo or Lists All Demo 'Shiny' Apps
Version: 0.1
Authors@R: person("Sigbert", "Klinke", email="sigbert@hu-berlin.de", role=c("aut", "cre"))
Description: Mimics the demo functionality for 'Shiny' apps in a package. Apps stored to the package subdirectory inst/shiny can be called by demoShiny(topic).
Depends: shiny
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-13 11:58:23 UTC; sigbert
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>
Repository: CRAN
Date/Publication: 2020-01-16 10:30:07 UTC

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Package MLGL updated to version 0.6.1 with previous version 0.6 dated 2019-12-10

Title: Multi-Layer Group-Lasso
Description: It implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data (Grimonprez et al. (2018) <https://hal.inria.fr/hal-01857242>).
Author: Quentin Grimonprez [aut, cre], Samuel Blanck [ctb], Alain Celisse [ths], Guillemette Marot [ths], Yi Yang [ctb], Hui Zou [ctb]
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>

Diff between MLGL versions 0.6 dated 2019-12-10 and 0.6.1 dated 2020-01-16

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Package RCurl updated to version 1.95-4.13 with previous version 1.95-4.12 dated 2019-03-04

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <http://curl.haxx.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: Duncan Temple Lang and the CRAN team
Maintainer: Duncan Temple Lang <duncan@r-project.org>

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Package formulize (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:

2018-01-09 0.1.0

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Package PET (with last version 0.5.1) was removed from CRAN

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

2018-04-20 0.5.1
2018-02-05 0.5.0
2010-08-23 0.4.9
2009-10-28 0.4.7
2007-04-04 0.4.6

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Package gitter (with last version 1.1.1) was removed from CRAN

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

2015-10-11 1.1.1
2015-10-09 1.1
2014-01-23 1.0.4
2014-01-17 1.0.3
2013-08-25 1.0.2
2013-06-28 1.0.1
2013-06-14 1.0

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Package afex updated to version 0.26-0 with previous version 0.25-1 dated 2019-08-27

Title: Analysis of Factorial Experiments
Description: Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates. afex uses type 3 sums of squares as default (imitating commercial statistical software).
Author: Henrik Singmann [aut, cre] (<https://orcid.org/0000-0002-4842-3657>), Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut] (<https://orcid.org/0000-0003-4900-788X>), Mattan S. Ben-Shachar [aut], Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathon Love [ctb], Russell Lenth [ctb], Rune Haubo Bojesen Christensen [ctb]
Maintainer: Henrik Singmann <singmann@gmail.com>

Diff between afex versions 0.25-1 dated 2019-08-27 and 0.26-0 dated 2020-01-16

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