Thu, 25 Jan 2018

Package waterfalls updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-02

Title: Create Waterfall Charts using 'ggplot2' Simply
Description: A not uncommon task for quants is to create 'waterfall charts'. There seems to be no simple way to do this in 'ggplot2' currently. This package contains a single function (waterfall) that simply draws a waterfall chart in a 'ggplot2' object. Some flexibility is provided, though often the object created will need to be modified through a theme.
Author: Hugh Parsonage
Maintainer: Hugh Parsonage <hugh.parsonage+waterfall@gmail.com>

Diff between waterfalls versions 0.1.1 dated 2017-02-02 and 0.1.2 dated 2018-01-25

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Package prrd updated to version 0.0.2 with previous version 0.0.1 dated 2018-01-16

Title: Parallel Runs of Reverse Depends
Description: Reverse depends for a given package are queued such that multiple workers can run the tests in parallel.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between prrd versions 0.0.1 dated 2018-01-16 and 0.0.2 dated 2018-01-25

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Package kokudosuuchi updated to version 0.4.2 with previous version 0.4.1 dated 2017-10-28

Title: R Interface to 'Kokudo Suuchi' API
Description: Provides an interface to 'Kokudo Suuchi' API, the GIS data service of the Japanese government. See <http://nlftp.mlit.go.jp/ksj-e/index.html> for more information.
Author: Hiroaki Yutani [aut, cre]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>

Diff between kokudosuuchi versions 0.4.1 dated 2017-10-28 and 0.4.2 dated 2018-01-25

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Package googlePolylines updated to version 0.4.0 with previous version 0.2.0 dated 2018-01-09

Title: Encoding Coordinates into 'Google' Polylines
Description: Encodes simple feature ('sf') objects and coordinates using the 'Google' polyline encoding algorithm (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>).
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between googlePolylines versions 0.2.0 dated 2018-01-09 and 0.4.0 dated 2018-01-25

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Package mvtnorm updated to version 1.0-7 with previous version 1.0-6 dated 2017-03-02

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb], Martin Maechler [ctb], Torsten Hothorn <https://orcid.org/0000-0001-8301-0471> [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mvtnorm versions 1.0-6 dated 2017-03-02 and 1.0-7 dated 2018-01-25

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Package SSN updated to version 1.1.12 with previous version 1.1.11 dated 2018-01-16

Title: Spatial Modeling on Stream Networks
Description: Spatial statistical modeling and prediction for data on stream networks, including models based on in-stream distance (Ver Hoef, J.M. and Peterson, E.E., 2010. <DOI:10.1198/jasa.2009.ap08248>.) Models are created using moving average constructions. Spatial linear models, including explanatory variables, can be fit with (restricted) maximum likelihood. Mapping and other graphical functions are included.
Author: Jay Ver Hoef [aut, cre], Erin Peterson [aut]
Maintainer: Jay Ver Hoef <ver.hoef@SpatialStreamNetworks.com>

Diff between SSN versions 1.1.11 dated 2018-01-16 and 1.1.12 dated 2018-01-25

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Package smacpod updated to version 2.0 with previous version 1.4.1 dated 2015-09-22

Title: Statistical Methods for the Analysis of Case-Control Point Data
Description: Various statistical methods for analyzing case-control point data.
Author: Joshua French
Maintainer: Joshua French <joshua.french@ucdenver.edu>

Diff between smacpod versions 1.4.1 dated 2015-09-22 and 2.0 dated 2018-01-25

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Package RGtk2 updated to version 2.20.34 with previous version 2.20.33 dated 2017-05-10

Title: R Bindings for Gtk 2.8.0 and Above
Description: Facilities in the R language for programming graphical interfaces using Gtk, the Gimp Tool Kit.
Author: Michael Lawrence <michafla@gene.com> and Duncan Temple Lang <duncan@wald.ucdavis.edu>
Maintainer: Michael Lawrence <michafla@gene.com>

Diff between RGtk2 versions 2.20.33 dated 2017-05-10 and 2.20.34 dated 2018-01-25

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Package quickPlot updated to version 0.1.3 with previous version 0.1.2 dated 2017-10-05

Title: A System of Plotting Optimized for Speed and Modularity
Description: A high-level plotting system, built using 'grid' graphics, that is optimized for speed and modularity. This has great utility for quick visualizations when testing code, with the key benefit that visualizations are updated independently of one another.
Author: Eliot J B McIntire [aut, cre], Alex M Chubaty [aut], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package qrmtools updated to version 0.0-8 with previous version 0.0-7 dated 2017-06-16

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <marius.hofert@uwaterloo.ca>

Diff between qrmtools versions 0.0-7 dated 2017-06-16 and 0.0-8 dated 2018-01-25

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Package pwrFDR updated to version 1.85 with previous version 1.80 dated 2018-01-17

Title: FDR Power
Description: This is a package for calculating power and sample size in multiple testing situations using the Benjamini-Hochberg (BH) false discovery rate (FDR) procedure. The package computes power and sample size in one of either two ways, using the average power or the lambda-power. See Izmirlian, G. (2018) <arXiv:1801.03989>.
Author: Grant Izmirlian Jr <izmirlig@mail.nih.gov>
Maintainer: Grant Izmirlian Jr <izmirlig@mail.nih.gov>

Diff between pwrFDR versions 1.80 dated 2018-01-17 and 1.85 dated 2018-01-25

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Package aggregation updated to version 1.0.1 with previous version 1.0 dated 2017-12-03

Title: p-Value Aggregation Methods
Description: Contains functionality for performing the following methods of p-value aggregation: Fisher's method [Fisher, RA (1932, ISBN: 9780028447308)], the Lancaster method (weighted Fisher's method) [Lancaster, HO (1961, <doi:10.1111/j.1467-842X.1961.tb00058.x>)], and Sidak correction [Sidak, Z (1967, <doi:10.1080/01621459.1967.10482935>)]. Please cite Yi et al., the manuscript corresponding to this package [Yi, L et al., (2017), <doi:10.1101/190199>].
Author: Lynn Yi, Lior Pachter
Maintainer: Lynn Yi <lynnyi@caltech.edu>

Diff between aggregation versions 1.0 dated 2017-12-03 and 1.0.1 dated 2018-01-25

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Package crandatapkgs (with last version 0.1.8) was removed from CRAN

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

2017-06-16 0.1.8
2017-03-26 0.1.7
2016-08-02 0.1.5
2016-02-20 0.1.3

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Package lumendb (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:

2017-02-28 0.2.2
2017-01-22 0.2.1
2015-12-22 0.2.0

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Package ETLUtils updated to version 1.4.1 with previous version 1.4 dated 2018-01-17

Title: Utility Functions to Execute Standard Extract/Transform/Load Operations (using Package 'ff') on Large Data
Description: Provides functions to facilitate the use of the 'ff' package in interaction with big data in 'SQL' databases (e.g. in 'Oracle', 'MySQL', 'PostgreSQL', 'Hive') by allowing easy importing directly into 'ffdf' objects using 'DBI', 'RODBC' and 'RJDBC'. Also contains some basic utility functions to do fast left outer join merging based on 'match', factorisation of data and a basic function for re-coding vectors.
Author: Jan Wijffels
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between ETLUtils versions 1.4 dated 2018-01-17 and 1.4.1 dated 2018-01-25

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Package valr updated to version 0.4.0 with previous version 0.3.1 dated 2017-07-21

Title: Genome Interval Arithmetic in R
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data.
Author: Jay Hesselberth <https://orcid.org/0000-0002-6299-179X> [aut, cre], Kent Riemondy <https://orcid.org/0000-0003-0750-1273> [aut]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

Diff between valr versions 0.3.1 dated 2017-07-21 and 0.4.0 dated 2018-01-25

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 valr-0.3.1/valr/inst/include/tools/Encoding.h                               |only
 valr-0.3.1/valr/inst/include/tools/FilteredListOf.h                         |only
 valr-0.3.1/valr/inst/include/tools/LazyDots.h                               |only
 valr-0.3.1/valr/inst/include/tools/StringUTF8.h                             |only
 valr-0.3.1/valr/inst/include/tools/complex.h                                |only
 valr-0.3.1/valr/inst/include/tools/delete_all.h                             |only
 valr-0.3.1/valr/inst/include/tools/get_all_second.h                         |only
 valr-0.3.1/valr/inst/include/tools/get_single_class.h                       |only
 valr-0.4.0/valr/DESCRIPTION                                                 |   20 
 valr-0.4.0/valr/MD5                                                         |  431 ++--
 valr-0.4.0/valr/NAMESPACE                                                   |    1 
 valr-0.4.0/valr/NEWS.md                                                     |   26 
 valr-0.4.0/valr/R/RcppExports.R                                             |    8 
 valr-0.4.0/valr/R/bed12_to_exons.r                                          |    4 
 valr-0.4.0/valr/R/bed_absdist.r                                             |    7 
 valr-0.4.0/valr/R/bed_closest.r                                             |    5 
 valr-0.4.0/valr/R/bed_cluster.r                                             |    6 
 valr-0.4.0/valr/R/bed_complement.r                                          |    1 
 valr-0.4.0/valr/R/bed_coverage.R                                            |    1 
 valr-0.4.0/valr/R/bed_fisher.r                                              |   20 
 valr-0.4.0/valr/R/bed_flank.r                                               |   16 
 valr-0.4.0/valr/R/bed_glyph.r                                               |   51 
 valr-0.4.0/valr/R/bed_intersect.r                                           |   27 
 valr-0.4.0/valr/R/bed_jaccard.r                                             |   80 
 valr-0.4.0/valr/R/bed_makewindows.r                                         |   49 
 valr-0.4.0/valr/R/bed_map.r                                                 |  150 -
 valr-0.4.0/valr/R/bed_merge.r                                               |   41 
 valr-0.4.0/valr/R/bed_projection.r                                          |   90 
 valr-0.4.0/valr/R/bed_random.r                                              |    6 
 valr-0.4.0/valr/R/bed_reldist.r                                             |   11 
 valr-0.4.0/valr/R/bed_shift.r                                               |   55 
 valr-0.4.0/valr/R/bed_shuffle.r                                             |   16 
 valr-0.4.0/valr/R/bed_slop.r                                                |   93 
 valr-0.4.0/valr/R/bed_sort.r                                                |   60 
 valr-0.4.0/valr/R/bed_subtract.r                                            |    7 
 valr-0.4.0/valr/R/bed_window.r                                              |   13 
 valr-0.4.0/valr/R/features.r                                                |   35 
 valr-0.4.0/valr/R/globals.r                                                 |   42 
 valr-0.4.0/valr/R/read_bed.r                                                |   17 
 valr-0.4.0/valr/R/read_genome.r                                             |   26 
 valr-0.4.0/valr/R/read_vcf.r                                                |   17 
 valr-0.4.0/valr/R/spacing.r                                                 |   11 
 valr-0.4.0/valr/R/strands.r                                                 |    6 
 valr-0.4.0/valr/R/tbls.r                                                    |   30 
 valr-0.4.0/valr/R/utils.r                                                   |    6 
 valr-0.4.0/valr/R/valr-package.r                                            |    2 
 valr-0.4.0/valr/README.md                                                   |   26 
 valr-0.4.0/valr/build/vignette.rds                                          |binary
 valr-0.4.0/valr/inst/doc/valr.R                                             |    2 
 valr-0.4.0/valr/inst/doc/valr.Rmd                                           |    2 
 valr-0.4.0/valr/inst/doc/valr.html                                          |  134 -
 valr-0.4.0/valr/inst/example                                                |only
 valr-0.4.0/valr/inst/extdata/bug254_e.bed                                   |only
 valr-0.4.0/valr/inst/include/dplyr.h                                        |  202 --
 valr-0.4.0/valr/inst/include/dplyr/BoolResult.h                             |   78 
 valr-0.4.0/valr/inst/include/dplyr/CharacterVectorOrderer.h                 |   24 
 valr-0.4.0/valr/inst/include/dplyr/Collecter.h                              |  989 ++++++----
 valr-0.4.0/valr/inst/include/dplyr/Column.h                                 |only
 valr-0.4.0/valr/inst/include/dplyr/DataFrameColumnSubsetVisitor.h           |   86 
 valr-0.4.0/valr/inst/include/dplyr/DataFrameColumnVisitor.h                 |   86 
 valr-0.4.0/valr/inst/include/dplyr/DataFrameJoinVisitors.h                  |  127 -
 valr-0.4.0/valr/inst/include/dplyr/DataFrameSubsetVisitors.h                |  218 +-
 valr-0.4.0/valr/inst/include/dplyr/DataFrameVisitors.h                      |   57 
 valr-0.4.0/valr/inst/include/dplyr/DataFrameVisitorsIndexMap.h              |    5 
 valr-0.4.0/valr/inst/include/dplyr/EmptySubset.h                            |    7 
 valr-0.4.0/valr/inst/include/dplyr/FullDataFrame.h                          |   34 
 valr-0.4.0/valr/inst/include/dplyr/Gatherer.h                               |  579 ++---
 valr-0.4.0/valr/inst/include/dplyr/GroupedDataFrame.h                       |  277 +-
 valr-0.4.0/valr/inst/include/dplyr/Groups.h                                 |only
 valr-0.4.0/valr/inst/include/dplyr/Hybrid.h                                 |only
 valr-0.4.0/valr/inst/include/dplyr/HybridHandler.h                          |only
 valr-0.4.0/valr/inst/include/dplyr/HybridHandlerMap.h                       |only
 valr-0.4.0/valr/inst/include/dplyr/JoinVisitor.h                            |   25 
 valr-0.4.0/valr/inst/include/dplyr/JoinVisitorImpl.h                        |  734 ++-----
 valr-0.4.0/valr/inst/include/dplyr/MatrixColumnSubsetVectorVisitor.h        |  166 -
 valr-0.4.0/valr/inst/include/dplyr/MatrixColumnVisitor.h                    |  226 +-
 valr-0.4.0/valr/inst/include/dplyr/MultipleVectorVisitors.h                 |   97 
 valr-0.4.0/valr/inst/include/dplyr/NamedListAccumulator.h                   |   89 
 valr-0.4.0/valr/inst/include/dplyr/Order.h                                  |  137 -
 valr-0.4.0/valr/inst/include/dplyr/OrderVisitor.h                           |   14 
 valr-0.4.0/valr/inst/include/dplyr/OrderVisitorImpl.h                       |  496 ++---
 valr-0.4.0/valr/inst/include/dplyr/Replicator.h                             |   97 
 valr-0.4.0/valr/inst/include/dplyr/Result/CallElementProxy.h                |   26 
 valr-0.4.0/valr/inst/include/dplyr/Result/CallProxy.h                       |   66 
 valr-0.4.0/valr/inst/include/dplyr/Result/CallbackProcessor.h               |  194 +
 valr-0.4.0/valr/inst/include/dplyr/Result/ConstantResult.h                  |  202 +-
 valr-0.4.0/valr/inst/include/dplyr/Result/Count.h                           |   20 
 valr-0.4.0/valr/inst/include/dplyr/Result/Count_Distinct.h                  |  112 -
 valr-0.4.0/valr/inst/include/dplyr/Result/CumMax.h                          |   66 
 valr-0.4.0/valr/inst/include/dplyr/Result/CumMin.h                          |   66 
 valr-0.4.0/valr/inst/include/dplyr/Result/CumSum.h                          |   82 
 valr-0.4.0/valr/inst/include/dplyr/Result/DelayedProcessor.h                |  517 ++---
 valr-0.4.0/valr/inst/include/dplyr/Result/GroupedCallProxy.h                |  288 --
 valr-0.4.0/valr/inst/include/dplyr/Result/GroupedCallReducer.h              |   45 
 valr-0.4.0/valr/inst/include/dplyr/Result/GroupedHybridCall.h               |  339 ++-
 valr-0.4.0/valr/inst/include/dplyr/Result/GroupedSubset.h                   |  254 +-
 valr-0.4.0/valr/inst/include/dplyr/Result/GroupedSubsetBase.h               |only
 valr-0.4.0/valr/inst/include/dplyr/Result/ILazySubsets.h                    |only
 valr-0.4.0/valr/inst/include/dplyr/Result/In.h                              |   59 
 valr-0.4.0/valr/inst/include/dplyr/Result/Lag.h                             |  164 -
 valr-0.4.0/valr/inst/include/dplyr/Result/LazyGroupedSubsets.h              |  214 +-
 valr-0.4.0/valr/inst/include/dplyr/Result/LazyRowwiseSubsets.h              |   88 
 valr-0.4.0/valr/inst/include/dplyr/Result/LazySubsets.h                     |  136 -
 valr-0.4.0/valr/inst/include/dplyr/Result/Lead.h                            |  168 -
 valr-0.4.0/valr/inst/include/dplyr/Result/Mean.h                            |  204 +-
 valr-0.4.0/valr/inst/include/dplyr/Result/MinMax.h                          |only
 valr-0.4.0/valr/inst/include/dplyr/Result/Mutater.h                         |   84 
 valr-0.4.0/valr/inst/include/dplyr/Result/Processor.h                       |  199 +-
 valr-0.4.0/valr/inst/include/dplyr/Result/Rank.h                            |  792 ++++----
 valr-0.4.0/valr/inst/include/dplyr/Result/Result.h                          |   27 
 valr-0.4.0/valr/inst/include/dplyr/Result/RowwiseSubset.h                   |  158 -
 valr-0.4.0/valr/inst/include/dplyr/Result/Sd.h                              |   38 
 valr-0.4.0/valr/inst/include/dplyr/Result/Sum.h                             |  178 -
 valr-0.4.0/valr/inst/include/dplyr/Result/Var.h                             |  158 -
 valr-0.4.0/valr/inst/include/dplyr/Result/VectorSliceVisitor.h              |   60 
 valr-0.4.0/valr/inst/include/dplyr/Result/all.h                             |   14 
 valr-0.4.0/valr/inst/include/dplyr/Result/is_smaller.h                      |   16 
 valr-0.4.0/valr/inst/include/dplyr/RowwiseDataFrame.h                       |  164 -
 valr-0.4.0/valr/inst/include/dplyr/SubsetVectorVisitor.h                    |   60 
 valr-0.4.0/valr/inst/include/dplyr/SubsetVectorVisitorImpl.h                |  454 ++--
 valr-0.4.0/valr/inst/include/dplyr/SummarisedVariable.h                     |   18 
 valr-0.4.0/valr/inst/include/dplyr/VectorVisitor.h                          |   47 
 valr-0.4.0/valr/inst/include/dplyr/VectorVisitorImpl.h                      |  366 +--
 valr-0.4.0/valr/inst/include/dplyr/bad.h                                    |only
 valr-0.4.0/valr/inst/include/dplyr/checks.h                                 |only
 valr-0.4.0/valr/inst/include/dplyr/comparisons.h                            |  239 +-
 valr-0.4.0/valr/inst/include/dplyr/dplyr.h                                  |only
 valr-0.4.0/valr/inst/include/dplyr/get_column.h                             |only
 valr-0.4.0/valr/inst/include/dplyr/join_match.h                             |only
 valr-0.4.0/valr/inst/include/dplyr/main.h                                   |only
 valr-0.4.0/valr/inst/include/dplyr/registration.h                           |   35 
 valr-0.4.0/valr/inst/include/dplyr/subset_visitor.h                         |   62 
 valr-0.4.0/valr/inst/include/dplyr/subset_visitor_impl.h                    |only
 valr-0.4.0/valr/inst/include/dplyr/tbl_cpp.h                                |   40 
 valr-0.4.0/valr/inst/include/dplyr/train.h                                  |   92 
 valr-0.4.0/valr/inst/include/dplyr/vector_class.h                           |   52 
 valr-0.4.0/valr/inst/include/dplyr/visitor.h                                |   59 
 valr-0.4.0/valr/inst/include/dplyr/visitor_impl.h                           |only
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorEqualPredicate.h      |   22 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorHash.h                |   22 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetEqual.h            |   36 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetEqualPredicate.h   |   28 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetGreater.h          |   30 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetHash.h             |   36 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetHasher.h           |   28 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetIndexMap.h         |   51 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetIndexSet.h         |   41 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetLess.h             |   30 
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/VisitorSetMixin.h            |only
 valr-0.4.0/valr/inst/include/dplyr/visitor_set/visitor_set.h                |   13 
 valr-0.4.0/valr/inst/include/dplyr/white_list.h                             |   46 
 valr-0.4.0/valr/inst/include/dplyr/workarounds.h                            |    4 
 valr-0.4.0/valr/inst/include/dplyr/workarounds/static_assert.h              |    4 
 valr-0.4.0/valr/inst/include/dplyr/workarounds/xlen.h                       |only
 valr-0.4.0/valr/inst/include/dplyr_RcppExports.h                            |only
 valr-0.4.0/valr/inst/include/dplyr_types.h                                  |only
 valr-0.4.0/valr/inst/include/group_apply.h                                  |    8 
 valr-0.4.0/valr/inst/include/intervals.h                                    |    2 
 valr-0.4.0/valr/inst/include/solaris/solaris.h                              |   16 
 valr-0.4.0/valr/inst/include/tools/Call.h                                   |   82 
 valr-0.4.0/valr/inst/include/tools/Quosure.h                                |only
 valr-0.4.0/valr/inst/include/tools/ShrinkableVector.h                       |   91 
 valr-0.4.0/valr/inst/include/tools/SlicingIndex.h                           |  134 +
 valr-0.4.0/valr/inst/include/tools/SymbolMap.h                              |  222 +-
 valr-0.4.0/valr/inst/include/tools/SymbolString.h                           |only
 valr-0.4.0/valr/inst/include/tools/SymbolVector.h                           |only
 valr-0.4.0/valr/inst/include/tools/all_na.h                                 |   12 
 valr-0.4.0/valr/inst/include/tools/collapse.h                               |   38 
 valr-0.4.0/valr/inst/include/tools/debug.h                                  |only
 valr-0.4.0/valr/inst/include/tools/encoding.h                               |only
 valr-0.4.0/valr/inst/include/tools/hash.h                                   |   30 
 valr-0.4.0/valr/inst/include/tools/match.h                                  |   27 
 valr-0.4.0/valr/inst/include/tools/pointer_vector.h                         |   75 
 valr-0.4.0/valr/inst/include/tools/rlang-export.h                           |only
 valr-0.4.0/valr/inst/include/tools/scalar_type.h                            |only
 valr-0.4.0/valr/inst/include/tools/tools.h                                  |   19 
 valr-0.4.0/valr/inst/include/tools/utils.h                                  |only
 valr-0.4.0/valr/inst/include/tools/wrap_subset.h                            |   31 
 valr-0.4.0/valr/man/bed_jaccard.Rd                                          |   17 
 valr-0.4.0/valr/man/bed_makewindows.Rd                                      |   23 
 valr-0.4.0/valr/man/bed_map.Rd                                              |   61 
 valr-0.4.0/valr/man/bed_sort.Rd                                             |   34 
 valr-0.4.0/valr/man/figures/README-intersect_glyph-1.png                    |binary
 valr-0.4.0/valr/man/interval_spacing.Rd                                     |    4 
 valr-0.4.0/valr/src/RcppExports.cpp                                         |   15 
 valr-0.4.0/valr/src/bed12toexons.cpp                                        |    5 
 valr-0.4.0/valr/src/closest.cpp                                             |   10 
 valr-0.4.0/valr/src/complement.cpp                                          |    2 
 valr-0.4.0/valr/src/coverage.cpp                                            |    4 
 valr-0.4.0/valr/src/dist.cpp                                                |   12 
 valr-0.4.0/valr/src/flank.cpp                                               |    2 
 valr-0.4.0/valr/src/init.c                                                  |   28 
 valr-0.4.0/valr/src/intersect.cpp                                           |   63 
 valr-0.4.0/valr/src/makewindows.cpp                                         |   37 
 valr-0.4.0/valr/src/merge.cpp                                               |    6 
 valr-0.4.0/valr/src/random.cpp                                              |    8 
 valr-0.4.0/valr/src/subtract.cpp                                            |    6 
 valr-0.4.0/valr/tests/testthat/helper-astyle.r                              |    1 
 valr-0.4.0/valr/tests/testthat/test-db.r                                    |    2 
 valr-0.4.0/valr/tests/testthat/test_absdist.r                               |   62 
 valr-0.4.0/valr/tests/testthat/test_closest.r                               |  468 ++--
 valr-0.4.0/valr/tests/testthat/test_cluster.r                               |   42 
 valr-0.4.0/valr/tests/testthat/test_complement.r                            |  194 +
 valr-0.4.0/valr/tests/testthat/test_coverage.r                              |  202 +-
 valr-0.4.0/valr/tests/testthat/test_features.r                              |   18 
 valr-0.4.0/valr/tests/testthat/test_fisher.r                                |   16 
 valr-0.4.0/valr/tests/testthat/test_flank.r                                 |   73 
 valr-0.4.0/valr/tests/testthat/test_genome.r                                |   22 
 valr-0.4.0/valr/tests/testthat/test_glyph.r                                 |   24 
 valr-0.4.0/valr/tests/testthat/test_intersect.r                             |  276 +-
 valr-0.4.0/valr/tests/testthat/test_jaccard.r                               |   63 
 valr-0.4.0/valr/tests/testthat/test_makewindows.r                           |   61 
 valr-0.4.0/valr/tests/testthat/test_map.r                                   |  157 +
 valr-0.4.0/valr/tests/testthat/test_merge.r                                 |  153 -
 valr-0.4.0/valr/tests/testthat/test_projection.r                            |   86 
 valr-0.4.0/valr/tests/testthat/test_random.r                                |    5 
 valr-0.4.0/valr/tests/testthat/test_read_vcf.r                              |    6 
 valr-0.4.0/valr/tests/testthat/test_reldist.r                               |  169 +
 valr-0.4.0/valr/tests/testthat/test_shift.r                                 |  154 +
 valr-0.4.0/valr/tests/testthat/test_shuffle.r                               |   91 
 valr-0.4.0/valr/tests/testthat/test_slop.r                                  |  187 +
 valr-0.4.0/valr/tests/testthat/test_sort.r                                  |  253 ++
 valr-0.4.0/valr/tests/testthat/test_spacing.r                               |   45 
 valr-0.4.0/valr/tests/testthat/test_strands.r                               |   12 
 valr-0.4.0/valr/tests/testthat/test_subtract.r                              |  174 +
 valr-0.4.0/valr/tests/testthat/test_tbls.r                                  |   78 
 valr-0.4.0/valr/tests/testthat/test_utils.r                                 |   34 
 valr-0.4.0/valr/tests/testthat/test_window.r                                |   20 
 valr-0.4.0/valr/vignettes/valr.Rmd                                          |    2 
 242 files changed, 9560 insertions(+), 8328 deletions(-)

More information about valr at CRAN
Permanent link

Package finch updated to version 0.2.0 with previous version 0.1.0 dated 2016-12-23

Title: Parse Darwin Core Files
Description: Parse and create Darwin Core (<http://rs.tdwg.org/dwc/>) Simple and Archives. Functionality includes reading and parsing all the files in a Darwin Core Archive, including the datasets and metadata; read and parse simple Darwin Core files; and validation of Darwin Core Archives.
Author: Scott Chamberlain <https://orcid.org/0000-0003-1444-9135> [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between finch versions 0.1.0 dated 2016-12-23 and 0.2.0 dated 2018-01-25

 DESCRIPTION                          |   28 ++++---
 LICENSE                              |    2 
 MD5                                  |   41 ++++++-----
 NAMESPACE                            |    2 
 NEWS.md                              |   21 +++++
 R/cache.R                            |  124 +++++++++--------------------------
 R/defunct.R                          |only
 R/dwca.R                             |   42 +++++++----
 R/dwca_validate.R                    |   18 +++--
 R/on_load.R                          |only
 R/simple.R                           |    6 +
 README.md                            |   17 ++--
 man/as.location.Rd                   |    1 
 man/dwca_cache.Rd                    |   75 ++++++++-------------
 man/dwca_cache_delete-defunct.Rd     |only
 man/dwca_cache_delete_all-defunct.Rd |only
 man/dwca_cache_details-defunct.Rd    |only
 man/dwca_cache_list-defunct.Rd       |only
 man/dwca_read.Rd                     |   10 +-
 man/dwca_validate.Rd                 |    3 
 man/finch-defunct.Rd                 |only
 man/finch-package.Rd                 |    3 
 man/simple_read.Rd                   |    3 
 tests/testthat/helper-finch.R        |    6 -
 tests/testthat/test-dwca_get.R       |   18 +++--
 25 files changed, 199 insertions(+), 221 deletions(-)

More information about finch at CRAN
Permanent link

Package DBItest updated to version 1.5-2 with previous version 1.5-1 dated 2017-12-11

Title: Testing 'DBI' Back Ends
Description: A helper that tests 'DBI' back ends for conformity to the interface.
Author: Kirill Müller [aut, cre], RStudio [cph], R Consortium [fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between DBItest versions 1.5-1 dated 2017-12-11 and 1.5-2 dated 2018-01-25

 DESCRIPTION               |   19 +++++++++++--------
 MD5                       |   12 ++++++------
 NAMESPACE                 |    1 +
 NEWS.md                   |    6 ++++++
 R/spec-getting-started.R  |    3 ++-
 R/spec-result-roundtrip.R |   15 +++++++++++----
 inst/doc/test.html        |    4 ++--
 7 files changed, 39 insertions(+), 21 deletions(-)

More information about DBItest at CRAN
Permanent link

Package RBesT updated to version 1.3-2 with previous version 1.3-1 dated 2017-12-21

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases).
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Trustees of Columbia University [cph] (src/init.cpp, tools/make_cpp.R, R/stanmodels.R)
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

Diff between RBesT versions 1.3-1 dated 2017-12-21 and 1.3-2 dated 2018-01-25

 DESCRIPTION                       |   14 +++++++-------
 MD5                               |   22 +++++++++++-----------
 R/RBesT-package.R                 |    4 ++--
 R/integrate_logit_log.R           |    2 +-
 R/mixdiff.R                       |    2 +-
 inst/NEWS                         |    9 +++++++++
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Package diagis updated to version 0.1.3-1 with previous version 0.1.3 dated 2017-07-27

Title: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Description: Fast functions for effective sample size, weighted multivariate mean and variance computation, and weight diagnostic plot for generic importance sampling type results.
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between diagis versions 0.1.3 dated 2017-07-27 and 0.1.3-1 dated 2018-01-25

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Package BNN updated to version 1.0.1 with previous version 1.0.0 dated 2018-01-13

Title: Bayesian Neural Network for High-Dimensional Nonlinear Variable Selection
Description: Perform Bayesian variable selection for high-dimensional nonlinear systems and also can be used to test nonlinearity for a general regression problem. The computation can be accelerated using multiple CPUs. You can refer to Liang, F., Li, Q. and Zhou, L. (2017) at <doi:10.1080/01621459.2017.1409122> for more detail.
Author: Bochao Jia [aut, cre, cph], Faming Liang [ctb], Robert Gentleman [cph], Ross Ihaka [cph], The R Core Team [cph]
Maintainer: Bochao Jia <jbc409@ufl.edu>

Diff between BNN versions 1.0.0 dated 2018-01-13 and 1.0.1 dated 2018-01-25

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New package BAwiR with initial version 1.0
Package: BAwiR
Type: Package
Title: Analysis of Basketball Data
Version: 1.0
Date: 2018-01-25
Author: Guillermo Vinue
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>
Description: Collection of tools to work with basketball data. Functions available are related to friendly web scraping and visualization. Data were obtained from <http://www.euroleague.net/>, <http://www.eurocupbasketball.com/> and <http://www.acb.com>, following the instructions of their respectives robots.txt files. Tools for visualization include a population pyramid, 2D plots of archetypoids and the rest of players, percentile circular plots, plots to analyze monthly evolution, heatmaps, shooting barplots, four factor plots and maps of players' nationalities.
License: GPL (>= 2)
URL: https://www.R-project.org, https://www.uv.es/vivigui
Depends: R (>= 3.4.0)
Imports: Anthropometry, plyr, dplyr, ggplot2, ggthemes, grid, hrbrthemes, httr, lubridate, magrittr, plotly, purrr, reshape2, rvest, rworldmap, scales, stringi, stringr, tidyr, xml2
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-25 17:23:55 UTC; guillevinue
Repository: CRAN
Date/Publication: 2018-01-25 18:24:26 UTC

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Package aucm updated to version 2018.1-24 with previous version 2017.3-2 dated 2017-03-02

Title: AUC Maximization
Description: Implements methods for identifying linear and nonlinear marker combinations that maximizes the Area Under the AUC Curve (AUC).
Author: Youyi Fong [cre], Krisztian Sebestyen [aut], Shuxin Yin [aut], Ying Huang [aut], Alexandros Karatzoglou [ctb], Alex Smola [ctb], Kurt Hornik [ctb]
Maintainer: Youyi Fong <youyifong@gmail.com>

Diff between aucm versions 2017.3-2 dated 2017-03-02 and 2018.1-24 dated 2018-01-25

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New package MODIS with initial version 1.1.2
Package: MODIS
Type: Package
Title: Acquisition and Processing of MODIS Products
Version: 1.1.2
Date: 2018-01-22
URL: https://github.com/MatMatt/MODIS
BugReports: https://github.com/MatMatt/MODIS/issues
Authors@R: c( person("Matteo", "Mattiuzzi", role = c("aut")), person("Jan", "Verbesselt", role = "ctb"), person("Tomislav", "Hengl", role = "ctb"), person("Anja", "Klisch", role = "ctb"), person("Forrest", "Stevens", role = "ctb"), person("Steven", "Mosher", role = "ctb"), person("Bradley", "Evans", role = "ctb"), person("Agustin", "Lobo", role = "ctb"), person("Koen", "Hufkens", role = "ctb"), person("Florian", "Detsch", role = c("cre", "aut"), email = "fdetsch@web.de"))
Description: Download and processing functionalities for the Moderate Resolution Imaging Spectroradiometer (MODIS). The package provides automated access to the global online data archives LP DAAC (<https://lpdaac.usgs.gov/>) and LAADS (<https://ladsweb.modaps.eosdis.nasa.gov/>) and processing capabilities such as file conversion, mosaicking, subsetting and time series filtering.
License: MIT + file LICENSE
LazyData: TRUE
Depends: mapdata, R (>= 2.10), raster
Imports: bitops, devtools, grDevices, graphics, mapedit, maps, maptools, methods, parallel, ptw, RCurl, rgdal, rgeos, sf, sp, stats, utils, XML
ByteCompile: TRUE
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-01-22 12:09:00 UTC; fdetsch
Author: Matteo Mattiuzzi [aut], Jan Verbesselt [ctb], Tomislav Hengl [ctb], Anja Klisch [ctb], Forrest Stevens [ctb], Steven Mosher [ctb], Bradley Evans [ctb], Agustin Lobo [ctb], Koen Hufkens [ctb], Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>
Repository: CRAN
Date/Publication: 2018-01-25 15:59:20 UTC

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New package mgsub with initial version 1.0.0
Package: mgsub
Type: Package
Title: Safe, Multiple, Simultaneous String Substitution
Version: 1.0.0
Author: Mark Ewing
Maintainer: Mark Ewing <mewing@eastman.com>
Description: Designed to enable simultaneous substitution in strings in a safe fashion. Safe means it does not rely on placeholders (which can cause errors in same length matches).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: covr, testthat, knitr, rmarkdown, qdap, microbenchmark
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-23 13:19:25 UTC; u772700
Repository: CRAN
Date/Publication: 2018-01-25 16:13:04 UTC

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Package censusr updated to version 0.0.4 with previous version 0.0.3 dated 2017-06-14

Title: Collect Data from the Census API
Description: Use the US Census API to collect summary data tables for SF1 and ACS datasets at arbitrary geographies.
Author: Greg Macfarlane [cre, aut], Josie Kressner [aut]
Maintainer: Greg Macfarlane <greg@transportfoundry.com>

Diff between censusr versions 0.0.3 dated 2017-06-14 and 0.0.4 dated 2018-01-25

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Package rddapp updated to version 1.0.0 with previous version 0.1.0 dated 2017-12-12

Title: Regression Discontinuity Design Application
Description: Estimation of both single- and multiple-assignment Regression Discontinuity Designs (RDDs). Provides both parametric (global) and non-parametric (local) estimation choices for both sharp and fuzzy designs, along with power analysis and assumption checks. Introductions to the underlying logic and analysis of RDDs are in Thistlethwaite, D. L., Campbell, D. T. (1960) <doi:10.1037/h0044319> and Lee, D. S., Lemieux, T. (2010) <doi:10.1257/jel.48.2.281>.
Author: Ze Jin [aut], Wang Liao [aut], Felix Thoemmes [aut, cre], Drew Dimmery [ctb] (Implementation of functions in R package rdd), Bastiaan Quast [ctb] (Implementation of functions in R package rddtools), Matthieu Stigler [ctb] (Implementation of functions in R package rddtools)
Maintainer: Felix Thoemmes <fjt36@cornell.edu>

Diff between rddapp versions 0.1.0 dated 2017-12-12 and 1.0.0 dated 2018-01-25

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New package multiselect with initial version 0.1.0
Package: multiselect
Type: Package
Title: Selecting Combinations of Predictors by Leveraging Multiple AUCs for an Ordered Multilevel Outcome
Version: 0.1.0
Date: 2018-01-24
Author: Allison Meisner
Maintainer: Allison Meisner <allison.meisner@gmail.com>
Description: Uses multiple AUCs to select a combination of predictors when the outcome has multiple (ordered) levels and the focus is discriminating one particular level from the others. This method is most naturally applied to settings where the outcome has three levels. (Meisner, A, Parikh, CR, and Kerr, KF (2017) <http://biostats.bepress.com/uwbiostat/paper423/>.)
License: GPL-2
LazyData: TRUE
Imports: Hmisc
Suggests: MASS
NeedsCompilation: no
Packaged: 2018-01-25 15:14:09 UTC; allison
Repository: CRAN
Date/Publication: 2018-01-25 15:36:25 UTC

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Package iotools updated to version 0.2-5 with previous version 0.1-12 dated 2015-07-31

Title: I/O Tools for Streaming
Description: Basic I/O tools for streaming and data parsing.
Author: Simon Urbanek <Simon.Urbanek@r-project.org>, Taylor Arnold <taylor.arnold@acm.org>
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between iotools versions 0.1-12 dated 2015-07-31 and 0.2-5 dated 2018-01-25

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New package bigleaf with initial version 0.3.0
Package: bigleaf
Type: Package
Version: 0.3.0
Date: 2018-01-24
Title: Physical and Physiological Ecosystem Properties from Eddy Covariance Data
Authors@R: c( person("Juergen", "Knauer", role=c("aut","cre"), email="jknauer@bgc-jena.mpg.de"), person("Soenke", "Zaehle", role=c("ctb"), email="szaehle@bgc-jena.mpg.de"), person("Tarek", "El-Madany", role=c("ctb"), email="telmad@bgc-jena.mpg.de"), person("Mirco", "Migliavacca", role=c("ctb"), email="mmiglia@bgc-jena.mpg.de") )
Maintainer: Juergen Knauer <jknauer@bgc-jena.mpg.de>
Description: Calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties from eddy covariance data and accompanying meteorological measurements. Calculations assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.
URL: https://bitbucket.org/juergenknauer/bigleaf/overview
Depends: R (>= 2.10)
Imports: robustbase
License: GPL (>= 2)
LazyData: yes
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-25 14:31:18 UTC; jknauer
Author: Juergen Knauer [aut, cre], Soenke Zaehle [ctb], Tarek El-Madany [ctb], Mirco Migliavacca [ctb]
Repository: CRAN
Date/Publication: 2018-01-25 15:16:34 UTC

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New package stranger with initial version 0.3.2
Package: stranger
Type: Package
Title: Simple Toolkit in R for ANomalies Get, Explain and Report
Version: 0.3.2
Authors@R: c( person("Eric", "Lecoutre", email = "eric.lecoutre@welovedatascience.com", role = c("aut","cre")), person("Sven", "Wauters", email = "sven.wauters@welovedatascience.com", role = "aut"))
Maintainer: Eric Lecoutre <eric.lecoutre@welovedatascience.com>
Description: Framework for unsupervised anomalies detection that simplifies the user experience because the one does not need to be concerned with the many packages and functions that are required. Package 'stranger' acts as a wrapper around existing packages ("a la 'caret' for modeling") and provides a clean and uniform toolkit for evaluation/explain/reporting purposes.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://welovedatascience.github.io/stranger, https://github.com/welovedatascience/stranger
Suggests: knitr, rmarkdown, prettydoc, dtplyr, testthat, FNN, dbscan, autoencoder, rpart, ranger, abodOutlier, mvoutlier, randomForest
VignetteBuilder: knitr
Imports: assertthat (>= 0.2) , ggplot2, tidyr, grid, methods
Depends: R (>= 2.10), data.table, dplyr (>= 0.7.3)
NeedsCompilation: no
Packaged: 2018-01-25 08:01:47 UTC; ericl
Author: Eric Lecoutre [aut, cre], Sven Wauters [aut]
Repository: CRAN
Date/Publication: 2018-01-25 14:31:13 UTC

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Package nardl updated to version 0.1.1 with previous version 0.1.0 dated 2017-07-08

Title: Nonlinear Cointegrating Autoregressive Distributed Lag Model
Description: Computes the nonlinear cointegrating autoregressive distributed lag model with p lags of the dependent variables and q lags of independent variables proposed by (Shin, Yu & Greenwood-Nimmo, 2014 <doi:10.1007/978-1-4899-8008-3_9>).
Author: Taha Zaghdoudi
Maintainer: Taha Zaghdoudi <zedtaha@gmail.com>

Diff between nardl versions 0.1.0 dated 2017-07-08 and 0.1.1 dated 2018-01-25

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Package HTSSIP updated to version 1.3.2 with previous version 1.3.1 dated 2018-01-11

Title: High Throughput Sequencing of Stable Isotope Probing Data Analysis
Description: Functions for analyzing high throughput sequencing stable isotope probing (HTS-SIP) data. Analyses include high resolution stable isotope probing (HR-SIP), multi-window high resolution stable isotope probing (MW-HR-SIP), and quantitative stable isotope probing (q-SIP).
Author: Nicholas Youngblut [aut], Samuel Barnett [cre, ctb]
Maintainer: Samuel Barnett <seb369@cornell.edu>

Diff between HTSSIP versions 1.3.1 dated 2018-01-11 and 1.3.2 dated 2018-01-25

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Package EpiModel updated to version 1.6.1 with previous version 1.6.0 dated 2018-01-24

Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic agent-based models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an easy API for extending these templates to address novel scientific research aims.
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Emily Beylerian [ctb], Skye Bender-deMoll [ctb], Kevin Weiss [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

Diff between EpiModel versions 1.6.0 dated 2018-01-24 and 1.6.1 dated 2018-01-25

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Package dendroextras updated to version 0.2.3 with previous version 0.2.2 dated 2017-05-20

Title: Extra Functions to Cut, Label and Colour Dendrogram Clusters
Description: Provides extra functions to manipulate dendrograms that build on the base functions provided by the 'stats' package. The main functionality it is designed to add is the ability to colour all the edges in an object of class 'dendrogram' according to cluster membership i.e. each subtree is coloured, not just the terminal leaves. In addition it provides some utility functions to cut 'dendrogram' and 'hclust' objects and to set/get labels.
Author: Gregory Jefferis [aut, cre]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between dendroextras versions 0.2.2 dated 2017-05-20 and 0.2.3 dated 2018-01-25

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Package rpsftm updated to version 1.2.2 with previous version 1.2.1 dated 2017-10-27

Title: Rank Preserving Structural Failure Time Models
Description: Implements methods described by the paper Robins and Tsiatis (1991) <DOI:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.
Author: Simon Bond [aut, cre] (primary author of code, secondary author of vignette), Annabel Allison [aut] (primary author of vignette, secondary author of code)
Maintainer: Simon Bond <simon.bond@addenbrookes.nhs.uk>

Diff between rpsftm versions 1.2.1 dated 2017-10-27 and 1.2.2 dated 2018-01-25

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More information about rpsftm at CRAN
Permanent link

Package icesTAF updated to version 1.5-0 with previous version 1.4-1 dated 2017-12-05

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <http://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut, cre], Colin Millar [aut]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

Diff between icesTAF versions 1.4-1 dated 2017-12-05 and 1.5-0 dated 2018-01-25

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More information about icesTAF at CRAN
Permanent link

Package gradDescent updated to version 3.0 with previous version 2.0.1 dated 2017-03-12

Title: Gradient Descent for Regression Tasks
Description: An implementation of various learning algorithms based on Gradient Descent for dealing with regression tasks. The variants of gradient descent algorithm are : Mini-Batch Gradient Descent (MBGD), which is an optimization to use training data partially to reduce the computation load. Stochastic Gradient Descent (SGD), which is an optimization to use a random data in learning to reduce the computation load drastically. Stochastic Average Gradient (SAG), which is a SGD-based algorithm to minimize stochastic step to average. Momentum Gradient Descent (MGD), which is an optimization to speed-up gradient descent learning. Accelerated Gradient Descent (AGD), which is an optimization to accelerate gradient descent learning. Adagrad, which is a gradient-descent-based algorithm that accumulate previous cost to do adaptive learning. Adadelta, which is a gradient-descent-based algorithm that use hessian approximation to do adaptive learning. RMSprop, which is a gradient-descent-based algorithm that combine Adagrad and Adadelta adaptive learning ability. Adam, which is a gradient-descent-based algorithm that mean and variance moment to do adaptive learning. Stochastic Variance Reduce Gradient (SVRG), which is an optimization SGD-based algorithm to accelerates the process toward converging by reducing the gradient. Semi Stochastic Gradient Descent (SSGD),which is a SGD-based algorithm that combine GD and SGD to accelerates the process toward converging by choosing one of the gradients at a time. Stochastic Recursive Gradient Algorithm (SARAH), which is an optimization algorithm similarly SVRG to accelerates the process toward converging by accumulated stochastic information. Stochastic Recursive Gradient Algorithm+ (SARAHPlus), which is a SARAH practical variant algorithm to accelerates the process toward converging provides a possibility of earlier termination.
Author: Galih Praja Wijaya, Dendi Handian, Imam Fachmi Nasrulloh, Lala Septem Riza, Rani Megasari, Enjun Junaeti
Maintainer: Lala Septem Riza <lala.s.riza@upi.edu>

Diff between gradDescent versions 2.0.1 dated 2017-03-12 and 3.0 dated 2018-01-25

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Permanent link

New package fabricatr with initial version 0.2.0
Package: fabricatr
Type: Package
Title: Imagine Your Data Before You Collect It
Version: 0.2.0
Date: 2018-01-24
Authors@R: c(person("Graeme", "Blair", email = "graeme.blair@ucla.edu", role = c("aut", "cre")), person("Jasper", "Cooper", email = "jjc2247@columbia.edu", role = c("aut")), person("Alexander", "Coppock", email = "alex.coppock@yale.edu", role = c("aut")), person("Macartan", "Humphreys", email = "macartan@gmail.com", role = c("aut")), person("Aaron", "Rudkin", email = "rudkin@ucla.edu", role = c("aut")), person("Neal", "Fultz", email = "nfultz@gmail.com", role = c("ctb")))
Description: Helps you imagine your data before you collect it. Hierarchical data structures and correlated data can be easily simulated, either from random number generators or by resampling from existing data sources. This package is faster with 'data.table' and 'mvnfast' installed.
URL: http://fabricatr.declaredesign.org, https://github.com/DeclareDesign/fabricatr
BugReports: https://github.com/DeclareDesign/fabricatr/issues
Depends: R (>= 3.3.0)
Imports: rlang
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 6.0.1
Suggests: testthat, dplyr, knitr, rmarkdown, data.table, mvnfast, diagram
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-24 18:40:27 UTC; travis
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Aaron Rudkin [aut], Neal Fultz [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>
Repository: CRAN
Date/Publication: 2018-01-25 13:18:20 UTC

More information about fabricatr at CRAN
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Package bssm updated to version 0.1.3 with previous version 0.1.2 dated 2017-11-22

Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo and parallel importance sampling type weighted Markov chain Monte Carlo (Vihola, Helske, and Franks, 2017, <arXiv:1609.02541>). Gaussian, Poisson, binomial, or negative binomial observation densities and basic stochastic volatility models with Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske, Matti Vihola
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between bssm versions 0.1.2 dated 2017-11-22 and 0.1.3 dated 2018-01-25

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Permanent link

New package tableone with initial version 0.9.2
Package: tableone
Type: Package
Title: Create 'Table 1' to Describe Baseline Characteristics
Version: 0.9.2
Date: 2018-01-24
Author: Kazuki Yoshida, Justin Bohn.
Maintainer: Kazuki Yoshida <kazukiyoshida@mail.harvard.edu>
Description: Creates 'Table 1', i.e., description of baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. Weighted data are supported via the 'survey' package. See 'github' for a screen cast. 'tableone' was inspired by descriptive statistics functions in 'Deducer' , a Java-based GUI package by Ian Fellows. This package does not require GUI or Java, and intended for command-line users.
License: GPL-2
Imports: survey, MASS, e1071, zoo, gmodels, nlme, lmerTest, labelled
Suggests: survival, testthat, Matrix, dummies, Matching, reshape2, ggplot2, knitr, geepack, lme4
URL: https://github.com/kaz-yos/tableone
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-24 20:09:41 UTC; kazuki
X-CRAN-Comment: Archived on 2018-01-25 as check errors were not corrected despite reminders.
Repository: CRAN
Date/Publication: 2018-01-25 12:30:35 UTC

More information about tableone at CRAN
Permanent link

Package reproducible updated to version 0.1.4 with previous version 0.1.3 dated 2017-08-10

Title: A Set of Tools that Enhance Reproducibility Beyond Package Management
Description: Built on top of 'git2r' and 'archivist', this package aims at making high-level, robust, machine and OS independent tools for making deeply reproducible and reusable content in R. This includes light weight package management (similar to 'packrat' and 'checkpoint', but more flexible, lightweight and simpler than both), plus it includes tools for caching, and accessing GitHub repositories.
Author: Eliot J B McIntire [aut, cre], Alex M Chubaty [aut], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package lazyWeave updated to version 3.0.2 with previous version 3.0.1 dated 2016-01-09

Title: LaTeX Wrappers for R Users
Description: Provides the functionality to write LaTeX code from within R without having to learn LaTeX. Functionality also exists to create HTML and Markdown code. While the functionality still exists to write complete documents with lazyWeave, it is generally easier to do so with with markdown and knitr. lazyWeave's main strength now is the ability to design custom and complex tables for reporting results.
Author: Benjamin Nutter [aut, cre]
Maintainer: Benjamin Nutter <benjamin.nutter@gmail.com>

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Package frailtyEM updated to version 0.8.1 with previous version 0.7.9 dated 2017-10-24

Title: Fitting Frailty Models with the EM Algorithm
Description: Contains functions for fitting shared frailty models with a semi-parametric baseline hazard with the Expectation-Maximization algorithm. Supported data formats include clustered failures with left truncation and recurrent events in gap-time or Andersen-Gill format. Several frailty distributions, such as the the gamma, positive stable and the Power Variance Family are supported.
Author: Theodor Adrian Balan, Hein Putter
Maintainer: Theodor Adrian Balan <t.a.balan@lumc.nl>

Diff between frailtyEM versions 0.7.9 dated 2017-10-24 and 0.8.1 dated 2018-01-25

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Package bookdown updated to version 0.6 with previous version 0.5 dated 2017-08-20

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie <https://orcid.org/0000-0003-0645-5666> [aut, cre], JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Daniel Emaasit [ctb], David Shuman [ctb], Dean Attali [ctb], Drew Tyre [ctb], Frans van Dunne [ctb], Hadley Wickham [ctb], Jeff Allen [ctb], Jennifer Bryan [ctb], Jonathan McPhers [ctb], Junwen Huang [ctb], Kevin Cheung [ctb], Kevin Ushey [ctb], Kim Seonghyun [ctb], Kirill Muller [ctb], Luciano Selzer [ctb], Matthew Lincoln [ctb], Maximilian Held [ctb], Michael Sachs [ctb], Michal Bojanowski [ctb], Peter Hickey [ctb], Sahir Bhatnagar [ctb], Steve Simpson [ctb], Vincent Fulco [ctb], Yixuan Qiu [ctb], Zhuoer Dong [ctb], RStudio Inc [cph], Bartek Szopka [ctb] (The jQuery Highlight plugin), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/resources/AUTHORS), MathQuill contributors [ctb] (The MathQuill library; authors listed in inst/resources/AUTHORS), FriendCode Inc [cph, ctb] (The gitbook style, with modifications)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between bookdown versions 0.5 dated 2017-08-20 and 0.6 dated 2018-01-25

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Package fst updated to version 0.8.4 with previous version 0.8.2 dated 2017-12-18

Title: Lightning Fast Serialization of Data Frames for R
Description: Multithreaded serialization of compressed data frames using the 'fst' format. The 'fst' format allows for random access of stored data and compression with the LZ4 and ZSTD compressors created by Yann Collet. The ZSTD compression library is owned by Facebook Inc.
Author: Mark Klik [aut, cre, cph], Yann Collet [ctb, cph] (Yann Collet is author of the bundled LZ4 and ZSTD code and copyright holder of LZ4), Facebook, Inc. [cph] (Bundled ZSTD code)
Maintainer: Mark Klik <markklik@gmail.com>

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Package heims updated to version 0.4.0 with previous version 0.3.2 dated 2018-01-08

Title: Decode and Validate HEIMS Data from Department of Education, Australia
Description: Decode elements of the Australian Higher Education Information Management System (HEIMS) data for clarity and performance. HEIMS is the record system of the Department of Education, Australia to record enrolments and completions in Australia's higher education system, as well as a range of relevant information. For more information, including the source of the data dictionary, see <http://heimshelp.education.gov.au/sites/heimshelp/dictionary/pages/data-element-dictionary>.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between heims versions 0.3.2 dated 2018-01-08 and 0.4.0 dated 2018-01-25

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Package devRate updated to version 0.1.6 with previous version 0.1.5 dated 2017-11-06

Title: Quantify the Relationship Between Development Rate and Temperature in Ectotherms
Description: A set of functions to quantify the relationship between development rate and temperature. The package comprises a set of models and estimated parameters borrowed from a literature review in ectotherms (mostly arthropods).
Author: Francois Rebaudo [aut, cre], Quentin Struelens [aut]
Maintainer: Francois Rebaudo <francois.rebaudo@ird.fr>

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Package libsoc (with last version 0.6) was removed from CRAN

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

2018-01-06 0.6
2017-02-11 0.5

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Package tableone (with last version 0.8.1) was removed from CRAN

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

2017-06-17 0.8.1
2015-11-11 0.7.3
2015-10-25 0.7.2
2015-08-12 0.7.1
2015-08-10 0.7.0
2014-12-29 0.6.3
2014-06-02 0.6.2
2014-06-01 0.6.0
2014-04-23 0.5.0
2014-03-30 0.4.0
2014-03-20 0.3.5
2014-03-07 0.3.4
2014-02-25 0.3.3
2014-02-18 0.3.2

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

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

2017-12-11 0.1.0

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Package umx (with last version 1.9.0) was removed from CRAN

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

2017-11-02 1.9.0
2017-11-02 1.9.1
2017-04-07 1.7.5
2017-03-21 1.5.5
2017-03-07 1.5.1
2017-01-12 1.5.0
2016-12-05 1.4.9
2016-11-08 1.4.5
2016-10-12 1.4.0
2016-08-18 1.3.0
2016-05-06 1.2.7
2016-04-03 1.2.5
2016-03-31 1.2.0
2016-03-06 1.1.5
2016-02-07 1.1.1
2015-12-10 1.1.0
2015-10-27 1.0.0
2015-08-27 0.50

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Package cvcrand (with last version 0.0.1) was removed from CRAN

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2017-11-28 0.0.1

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

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2017-09-29 1.0

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Package gamlss.inf (with last version 1.0-0) was removed from CRAN

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2017-05-02 1.0-0

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Package CBPS (with last version 0.16) was removed from CRAN

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2017-12-19 0.16
2017-11-26 0.15
2017-10-02 0.14
2016-12-29 0.13
2016-11-01 0.12
2016-05-12 0.11
2015-09-21 0.10
2014-08-13 0.9
2014-03-08 0.8
2013-07-24 0.7
2013-06-07 0.6
2013-05-08 0.5
2013-04-03 0.4
2013-01-31 0.3
2012-09-29 0.2
2012-07-19 0.1

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Package ExtDist (with last version 0.6-3) was removed from CRAN

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2015-05-30 0.6-3

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Package lakemorpho (with last version 1.1.0) was removed from CRAN

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2016-12-27 1.1.0
2016-09-02 1.0.3
2016-05-13 1.0.2
2014-08-29 1.0

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Package drtmle (with last version 1.0.0) was removed from CRAN

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2017-08-17 1.0.0

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Package MCMCvis (with last version 0.9.2) was removed from CRAN

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2018-01-10 0.9.2
2017-10-31 0.8.1
2017-02-08 0.7.1
2017-01-05 0.7.0
2016-10-06 0.6.3

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

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2017-03-12 1.0

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Package knor (with last version 0.0-3) was removed from CRAN

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

2017-11-28 0.0-3
2017-09-10 0.0-2
2017-08-14 0.0-1

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