Tue, 28 May 2019

New package motmot with initial version 2.1
Package: motmot
Type: Package
Title: Models of Trait Macroevolution on Trees
Version: 2.1
Depends: R (>= 2.10.0), ape (>= 3.0-7)
Date: 2019-05-28
Author: Mark Puttick [aut, cre, cph], Gavin Thomas [aut, cph], Rob Freckleton [aut, cph], Magnus Clarke [ctb], Travis Ingram [ctb], David Orme [ctb], Emmanuel Paradis [ctb]
Maintainer: Mark Puttick <marknputtick@gmail.com>
Description: Functions for fitting models of trait evolution on phylogenies for continuous traits. The majority of functions described in Thomas and Freckleton (2011) <doi:10.1111/j.2041-210X.2011.00132.x> and include functions that allow for tests of variation in the rates of trait evolution.
License: GPL (>= 2)
Repository: CRAN
URL: https://puttickbiology.wordpress.com/motmot/
RoxygenNote: 6.1.1
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp
Imports: Rcpp, coda, ks, mvtnorm, caper, methods
Encoding: UTF-8
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2019-05-28 15:51:25 UTC; markputtick
Date/Publication: 2019-05-28 21:00:13 UTC

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Package genio updated to version 1.0.10 with previous version 1.0.9 dated 2019-05-24

Title: Genetics Input/Output Functions
Description: Implements readers and writers for file formats associated with genetics data. Reading and writing plink BED/BIM/FAM formats is fully supported, including a lightning-fast BED reader and writer implementations. Other functions are 'readr' wrappers that are more constrained, user-friendly, and efficient for these particular applications; handles plink and eigenstrat tables (FAM, BIM, IND, and SNP files). There are also "make" functions for FAM and BIM tables with default values to go with simulated genotype data.
Author: Alejandro Ochoa [aut, cre] (<https://orcid.org/0000-0003-4928-3403>)
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>

Diff between genio versions 1.0.9 dated 2019-05-24 and 1.0.10 dated 2019-05-28

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Package fields updated to version 9.8-3 with previous version 9.8-1 dated 2019-05-14

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857 and the National Center for Atmospheric Research. See the Fields URL for a vignette on using this package and some background on spatial statistics.
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], University Corporation for Atmospheric Research [cph]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

Diff between fields versions 9.8-1 dated 2019-05-14 and 9.8-3 dated 2019-05-28

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Package expperm updated to version 1.6 with previous version 1.2 dated 2019-05-23

Title: Computing Expectations and Marginal Likelihoods for Permutations
Description: A set of functions for computing expected permutation matrices given a matrix of likelihoods for each individual assignment. It has been written to accompany the forthcoming paper 'Computing expectations and marginal likelihoods for permutations'. Publication details will be updated as soon as they are finalized.
Author: Ben Powell
Maintainer: Ben Powell <ben.powell@york.ac.uk>

Diff between expperm versions 1.2 dated 2019-05-23 and 1.6 dated 2019-05-28

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Package bookdown updated to version 0.11 with previous version 0.10 dated 2019-05-10

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 [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Aust Frederik [ctb] (<https://orcid.org/0000-0003-4900-788X>), Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clifton Franklund [ctb], Daniel Emaasit [ctb], David Shuman [ctb], Dean Attali [ctb], Drew Tyre [ctb], Ellis Valentiner [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], Noam Ross [ctb], Peter Hickey [ctb], Sahir Bhatnagar [ctb], Steve Simpson [ctb], Thierry Onkelinx [ctb] (<https://orcid.org/0000-0001-8804-4216>), 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 0.10 dated 2019-05-10 and 0.11 dated 2019-05-28

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Package BIOdry updated to version 0.6 with previous version 0.5 dated 2017-04-20

Title: Multilevel Modeling of Dendroclimatical Fluctuations
Description: Multilevel ecological data series (MEDS) are sequences of observations ordered according to temporal/spatial hierarchies that are defined by sample designs, with sample variability confined to ecological factors. Dendroclimatic MEDS of tree rings and climate are modeled into normalized fluctuations of tree growth and aridity. Modeled fluctuations (model frames) are compared with Mantel correlograms on multiple levels defined by sample design. Package implementation can be understood by running examples in modelFrame(), and muleMan() functions.
Author: Wilson Lara <wilarhen@gmail.com>, Felipe Bravo <fbravo@pvs.uva.es>
Maintainer: Wilson Lara <wilarhen@gmail.com>

Diff between BIOdry versions 0.5 dated 2017-04-20 and 0.6 dated 2019-05-28

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Package openxlsx updated to version 4.1.0.1 with previous version 4.1.0 dated 2018-05-26

Title: Read, Write and Edit XLSX Files
Description: Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
Author: Alexander Walker [aut, cre], Luca Braglia [ctb]
Maintainer: ORPHANED gcc 9 warnings

Diff between openxlsx versions 4.1.0 dated 2018-05-26 and 4.1.0.1 dated 2019-05-28

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Package effects updated to version 4.1-1 with previous version 4.1-0 dated 2018-11-30

Title: Effect Displays for Linear, Generalized Linear, and Other Models
Description: Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Michael Friendly [aut], Jangman Hong [aut], Robert Andersen [ctb], David Firth [ctb], Steve Taylor [ctb], R Core Team [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

Diff between effects versions 4.1-0 dated 2018-11-30 and 4.1-1 dated 2019-05-28

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Package motmot.2.0 (with last version 1.1.2) was removed from CRAN

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

2018-01-10 1.1.2

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New package trinROC with initial version 0.3
Package: trinROC
Title: Statistical Tests for Assessing Trinormal ROC Data
Version: 0.3
Authors@R: c(person("Samuel", "Noll", email = "uncle.sam@gmx.net", role = c("aut")), person("Reinhard", "Furrer", role = c("ctb", "cre"), email = "reinhard.furrer@math.uzh.ch"), person("Benjamin", "Reiser", role = c("ctb")), person("Christos T.", "Nakas", role = c("ctb"), email = "cnakas@uth.gr"))
Description: Several statistical test functions as well as a function for exploratory data analysis to investigate classifiers allocating individuals to one of three disjoint and ordered classes. In a single classifier assessment the discriminatory power is compared to classification by chance. In a comparison of two classifiers the null hypothesis corresponds to equal discriminatory power of the two classifiers.
Depends: R (>= 3.3.0)
Imports: ggplot2, rgl, gridExtra
License: LGPL-2.1
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown, MASS, reshape
VignetteBuilder: knitr
URL: https://git.math.uzh.ch/reinhard.furrer/trinROC
NeedsCompilation: no
Packaged: 2019-05-27 17:57:10 UTC; furrer
Author: Samuel Noll [aut], Reinhard Furrer [ctb, cre], Benjamin Reiser [ctb], Christos T. Nakas [ctb]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>
Repository: CRAN
Date/Publication: 2019-05-28 16:20:04 UTC

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Package RViennaCL updated to version 1.7.1.8 with previous version 1.7.1.7 dated 2017-10-15

Title: 'ViennaCL' C++ Header Files
Description: 'ViennaCL' is a free open-source linear algebra library for computations on many-core architectures (GPUs, MIC) and multi-core CPUs. The library is written in C++ and supports 'CUDA', 'OpenCL', and 'OpenMP' (including switches at runtime). I have placed these libraries in this package as a more efficient distribution system for CRAN. The idea is that you can write a package that depends on the 'ViennaCL' library and yet you do not need to distribute a copy of this code with your package.
Author: Charles Determan Jr.
Maintainer: Charles Determan Jr <cdetermanjr@gmail.com>

Diff between RViennaCL versions 1.7.1.7 dated 2017-10-15 and 1.7.1.8 dated 2019-05-28

 DESCRIPTION                                                                                |   10 
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 NAMESPACE                                                                                  |    3 
 build/partial.rdb                                                                          |binary
 inst/include/viennacl/backend/cpu_ram.hpp                                                  |  342 
 inst/include/viennacl/backend/cuda.hpp                                                     |  412 
 inst/include/viennacl/backend/mem_handle.hpp                                               |  500 
 inst/include/viennacl/backend/memory.hpp                                                   | 1256 -
 inst/include/viennacl/backend/opencl.hpp                                                   |  302 
 inst/include/viennacl/backend/util.hpp                                                     |  536 
 inst/include/viennacl/circulant_matrix.hpp                                                 |  718 
 inst/include/viennacl/compressed_compressed_matrix.hpp                                     | 1238 -
 inst/include/viennacl/compressed_matrix.hpp                                                | 2629 +--
 inst/include/viennacl/context.hpp                                                          |  176 
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 inst/include/viennacl/detail/matrix_def.hpp                                                |  540 
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 inst/include/viennacl/device_specific/builtin_database/matrix_product.hpp                  |  488 
 inst/include/viennacl/device_specific/execute.hpp                                          |  110 
 inst/include/viennacl/device_specific/execution_handler.hpp                                |  204 
 inst/include/viennacl/device_specific/forwards.h                                           |  588 
 inst/include/viennacl/device_specific/lazy_program_compiler.hpp                            |  148 
 inst/include/viennacl/device_specific/mapped_objects.hpp                                   | 1024 -
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 inst/include/viennacl/device_specific/templates/template_base.hpp                          | 1192 -
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 inst/include/viennacl/device_specific/tree_parsing.hpp                                     | 1048 -
 inst/include/viennacl/device_specific/utils.hpp                                            | 1158 -
 inst/include/viennacl/ell_matrix.hpp                                                       |  724 
 inst/include/viennacl/fft.hpp                                                              |  564 
 inst/include/viennacl/forwards.h                                                           | 2112 +-
 inst/include/viennacl/hankel_matrix.hpp                                                    |  686 
 inst/include/viennacl/hyb_matrix.hpp                                                       |  884 -
 inst/include/viennacl/io/matrix_market.hpp                                                 |  880 -
 inst/include/viennacl/linalg/amg.hpp                                                       |  796 
 inst/include/viennacl/linalg/amg_operations.hpp                                            |  476 
 inst/include/viennacl/linalg/bicgstab.hpp                                                  | 1196 -
 inst/include/viennacl/linalg/bisect.hpp                                                    |  358 
 inst/include/viennacl/linalg/bisect_gpu.hpp                                                |  346 
 inst/include/viennacl/linalg/cg.hpp                                                        |  880 -
 inst/include/viennacl/linalg/circulant_matrix_operations.hpp                               |  150 
 inst/include/viennacl/linalg/cuda/amg_operations.hpp                                       | 1646 +-
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 inst/include/viennacl/linalg/cuda/bisect_kernel_small.hpp                                  |  522 
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 inst/include/viennacl/linalg/cuda/common.hpp                                               |  602 
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 inst/include/viennacl/linalg/cuda/fft_operations.hpp                                       | 1716 +-
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 inst/include/viennacl/linalg/cuda/iterative_operations.hpp                                 | 4098 ++---
 inst/include/viennacl/linalg/cuda/matrix_operations.hpp                                    | 4544 ++---
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 inst/include/viennacl/linalg/cuda/matrix_operations_prod.hpp                               | 5774 +++----
 inst/include/viennacl/linalg/cuda/matrix_operations_row.hpp                                | 2384 +-
 inst/include/viennacl/linalg/cuda/misc_operations.hpp                                      |  182 
 inst/include/viennacl/linalg/cuda/nmf_operations.hpp                                       |  304 
 inst/include/viennacl/linalg/cuda/scalar_operations.hpp                                    |  750 
 inst/include/viennacl/linalg/cuda/sparse_matrix_operations.hpp                             | 5618 +++---
 inst/include/viennacl/linalg/cuda/sparse_matrix_operations_solve.hpp                       | 1522 -
 inst/include/viennacl/linalg/cuda/spgemm.hpp                                               | 1586 -
 inst/include/viennacl/linalg/cuda/spgemm_rmerge.hpp                                        | 1330 -
 inst/include/viennacl/linalg/cuda/vector_operations.hpp                                    | 6064 +++----
 inst/include/viennacl/linalg/detail/amg/amg_base.hpp                                       |  416 
 inst/include/viennacl/linalg/detail/bisect/bisect_kernel_calls.hpp                         |  382 
 inst/include/viennacl/linalg/detail/bisect/bisect_large.hpp                                |  284 
 inst/include/viennacl/linalg/detail/bisect/bisect_small.hpp                                |  192 
 inst/include/viennacl/linalg/detail/bisect/config.hpp                                      |   88 
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 inst/include/viennacl/linalg/detail/bisect/structs.hpp                                     |  364 
 inst/include/viennacl/linalg/detail/bisect/util.hpp                                        |  212 
 inst/include/viennacl/linalg/detail/ilu/block_ilu.hpp                                      | 1234 -
 inst/include/viennacl/linalg/detail/ilu/chow_patel_ilu.hpp                                 |  632 
 inst/include/viennacl/linalg/detail/ilu/common.hpp                                         |  526 
 inst/include/viennacl/linalg/detail/ilu/ilu0.hpp                                           |  758 
 inst/include/viennacl/linalg/detail/ilu/ilut.hpp                                           | 1384 -
 inst/include/viennacl/linalg/detail/op_applier.hpp                                         |  268 
 inst/include/viennacl/linalg/detail/op_executor.hpp                                        |  172 
 inst/include/viennacl/linalg/detail/spai/block_matrix.hpp                                  |  172 
 inst/include/viennacl/linalg/detail/spai/block_vector.hpp                                  |  154 
 inst/include/viennacl/linalg/detail/spai/fspai.hpp                                         |  804 
 inst/include/viennacl/linalg/detail/spai/qr.hpp                                            |  994 -
 inst/include/viennacl/linalg/detail/spai/small_matrix.hpp                                  |  226 
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 inst/include/viennacl/linalg/detail/spai/spai.hpp                                          | 1664 +-
 inst/include/viennacl/linalg/detail/spai/spai_tag.hpp                                      |  286 
 inst/include/viennacl/linalg/detail/spai/sparse_vector.hpp                                 |  170 
 inst/include/viennacl/linalg/direct_solve.hpp                                              | 1160 -
 inst/include/viennacl/linalg/eig.hpp                                                       |   58 
 inst/include/viennacl/linalg/fft_operations.hpp                                            |  962 -
 inst/include/viennacl/linalg/gmres.hpp                                                     | 1476 -
 inst/include/viennacl/linalg/hankel_matrix_operations.hpp                                  |  132 
 inst/include/viennacl/linalg/host_based/amg_operations.hpp                                 | 3152 +--
 inst/include/viennacl/linalg/host_based/common.hpp                                         |  298 
 inst/include/viennacl/linalg/host_based/direct_solve.hpp                                   |  614 
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 inst/include/viennacl/linalg/ichol.hpp                                                     |  456 
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 inst/include/viennacl/linalg/lu.hpp                                                        |  454 
 inst/include/viennacl/linalg/matrix_operations.hpp                                         | 2840 +--
 inst/include/viennacl/linalg/maxmin.hpp                                                    |  304 
 inst/include/viennacl/linalg/misc_operations.hpp                                           |  188 
 inst/include/viennacl/linalg/mixed_precision_cg.hpp                                        |  398 
 inst/include/viennacl/linalg/nmf.hpp                                                       |  182 
 inst/include/viennacl/linalg/norm_1.hpp                                                    |  208 
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 inst/include/viennacl/linalg/sum.hpp                                                       |  272 
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 inst/include/viennacl/linalg/tql2.hpp                                                      |  524 
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 inst/include/viennacl/linalg/vector_operations.hpp                                         | 2822 +--
 inst/include/viennacl/matrix.hpp                                                           | 8126 +++++-----
 inst/include/viennacl/matrix_proxy.hpp                                                     | 1190 -
 inst/include/viennacl/meta/enable_if.hpp                                                   |   86 
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 inst/include/viennacl/meta/result_of.hpp                                                   | 1262 -
 inst/include/viennacl/meta/tag_of.hpp                                                      |  780 
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 inst/include/viennacl/ocl/context.hpp                                                      | 1656 +-
 inst/include/viennacl/ocl/device.hpp                                                       | 2992 +--
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 inst/include/viennacl/ocl/local_mem.hpp                                                    |  102 
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 inst/include/viennacl/slice.hpp                                                            |  154 
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 inst/include/viennacl/tools/sha1.hpp                                                       |  474 
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 inst/include/viennacl/tools/timer.hpp                                                      |  246 
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 inst/include/viennacl/traits/context.hpp                                                   |  130 
 inst/include/viennacl/traits/fill.hpp                                                      |  136 
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 inst/include/viennacl/traits/start.hpp                                                     |  204 
 inst/include/viennacl/traits/stride.hpp                                                    |  144 
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 inst/include/viennacl/vector.hpp                                                           | 6662 ++++----
 inst/include/viennacl/vector_proxy.hpp                                                     |  680 
 inst/include/viennacl/version.hpp                                                          |   62 
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Package ggenealogy updated to version 1.0.0 with previous version 0.4.0 dated 2019-05-23

Title: Visualization Tools for Genealogical Data
Description: Methods for searching through genealogical data and displaying the results. Plotting algorithms assist with data exploration and publication-quality image generation. Includes interactive genealogy visualization tools. Provides parsing and calculation methods for variables in descendant branches of interest. Uses the Grammar of Graphics.
Author: Lindsay Rutter, Susan Vanderplas, Di Cook
Maintainer: Lindsay Rutter <lindsayannerutter@gmail.com>

Diff between ggenealogy versions 0.4.0 dated 2019-05-23 and 1.0.0 dated 2019-05-28

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Package spant updated to version 0.14.0 with previous version 0.13.0 dated 2019-04-25

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data.
Author: Martin Wilson [cre, aut], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package Rcan updated to version 1.3.70 with previous version 1.3.64 dated 2018-12-17

Title: Cancer Registry Data Analysis and Visualisation
Description: Tools for basic and advance cancer statistics and graphics. Groups individual data, merges registry data and population data, calculates age-specific rate, age-standardized rate, estimated annual percentage rate with standards error. Creates graphics across variable and time, such as age-specific trends, bar chart and period-cohort trends.
Author: Mathieu Laversanne [aut, cre], Cancer Surveillance Unit [cph]
Maintainer: Mathieu Laversanne <laversannem@iarc.fr>

Diff between Rcan versions 1.3.64 dated 2018-12-17 and 1.3.70 dated 2019-05-28

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Package evaluate updated to version 0.14 with previous version 0.13 dated 2019-02-12

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Michael Lawrence [ctb], Thomas Kluyver [ctb], Jeroen Ooms [ctb], Barret Schloerke [ctb], Adam Ryczkowski [ctb], Hiroaki Yutani [ctb], Michel Lang [ctb], Karolis Koncevičius [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package eigenmodel updated to version 1.11 with previous version 1.10 dated 2018-06-03

Title: Semiparametric Factor and Regression Models for Symmetric Relational Data
Description: Estimation of the parameters in a model for symmetric relational data (e.g., the above-diagonal part of a square matrix), using a model-based eigenvalue decomposition and regression. Missing data is accommodated, and a posterior mean for missing data is calculated under the assumption that the data are missing at random. The marginal distribution of the relational data can be arbitrary, and is fit with an ordered probit specification. See Hoff (2007) <arXiv:0711.1146> for details on the model.
Author: Peter Hoff
Maintainer: Peter Hoff <peter.hoff@duke.edu>

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Package shinyTime updated to version 1.0.0 with previous version 0.2.1 dated 2016-10-07

Title: A Time Input Widget for Shiny
Description: Provides a time input widget for Shiny. This widget allows intuitive time input in the '[hh]:[mm]:[ss]' or '[hh]:[mm]' (24H) format by using a separate numeric input for each time component. The interface with R uses date-time objects. See the project page for more information and examples.
Author: Gerhard Burger [aut, cre]
Maintainer: Gerhard Burger <burger.ga@gmail.com>

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Package lpSolveAPI updated to version 5.5.2.0-17.1 with previous version 5.5.2.0-17 dated 2016-01-13

Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve', a Mixed Integer Linear Programming (MILP) solver with support for pure linear, (mixed) integer/binary, semi-continuous and special ordered sets (SOS) models.
Author: lp_solve <http://lpsolve.sourceforge.net/>, Kjell Konis <kjell.konis@me.com>.
Maintainer: ORPHANED

Diff between lpSolveAPI versions 5.5.2.0-17 dated 2016-01-13 and 5.5.2.0-17.1 dated 2019-05-28

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Package lpSolve updated to version 5.6.13.1 with previous version 5.6.13 dated 2015-09-19

Title: Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
Description: Lp_solve is freely available (under LGPL 2) software for solving linear, integer and mixed integer programs. In this implementation we supply a "wrapper" function in C and some R functions that solve general linear/integer problems, assignment problems, and transportation problems. This version calls lp_solve version 5.5.
Author: Michel Berkelaar and others
Maintainer: ORPHANED

Diff between lpSolve versions 5.6.13 dated 2015-09-19 and 5.6.13.1 dated 2019-05-28

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New package volesti with initial version 1.0.1
Package: volesti
Type: Package
License: LGPL-3
Title: Volume Approximation and Sampling of Convex Polytopes
Author: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com> [aut, cph, cre], Apostolos Chalkis <tolis.chal@gmail.com> [cph, aut], contributors in file inst/AUTHORS
Copyright: file inst/COPYRIGHTS
Description: Provides an R interface for 'volesti' C++ package. 'volesti' computes estimations of volume of polytopes given by a set of points or linear inequalities or Minkowski sum of segments (zonotopes). There are two algorithms for volume estimation (I.Z. Emiris and V. Fisikopoulos (2014) <arXiv:1312.2873> and B. Cousins, S. Vempala (2016) <arXiv:1409.6011>) as well as algorithms for sampling, rounding and rotating polytopes. Moreover, 'volesti' provides algorithms for estimating copulas (L. Cales, A. Chalkis, I.Z. Emiris, V. Fisikopoulos (2018) <arXiv:1803.05861>).
Version: 1.0.1
Date: 2019-05-10
Maintainer: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com>
Depends: Rcpp (>= 0.12.17)
Imports: methods
LinkingTo: Rcpp, RcppEigen, BH
Suggests: testthat
Encoding: UTF-8
RoxygenNote: 6.1.1
BugReports: https://github.com/GeomScale/volume_approximation/issues
NeedsCompilation: yes
Packaged: 2019-05-28 09:11:38 UTC; vissarion
Repository: CRAN
Date/Publication: 2019-05-28 13:20:02 UTC

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Package strex updated to version 1.0.2 with previous version 1.0.1 dated 2019-05-12

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged: it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package kiwisR updated to version 0.1.6 with previous version 0.1.5 dated 2019-04-12

Title: A Wrapper for Querying KISTERS 'WISKI' Databases via the 'KiWIS' API
Description: A wrapper for querying 'WISKI' databases via the 'KiWIS' 'REST' API. 'WISKI' is an 'SQL' relational database used for the collection and storage of water data developed by KISTERS and 'KiWIS' is a 'REST' service that provides access to 'WISKI' databases via HTTP requests (<https://water.kisters.de/en/technology-trends/kisters-and-open-data/>). Contains a list of default databases (called 'hubs') and also allows users to provide their own 'KiWIS' URL. Supports the entire query process- from metadata to specific time series values. All data is returned as tidy tibbles.
Author: Ryan Whaley [aut, cre], Sam Albers [ctb]
Maintainer: Ryan Whaley <rdgwhaley@gmail.com>

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Package etm updated to version 1.0.5 with previous version 1.0.4 dated 2018-07-11

Title: Empirical Transition Matrix
Description: The etm (empirical transition matrix) package permits to estimate the matrix of transition probabilities for any time-inhomogeneous multistate model with finite state space using the Aalen-Johansen estimator. Functions for data preparation and for displaying are also included (Allignol et al., 2011 <doi:10.18637/jss.v038.i04>). Functionals of the Aalen-Johansen estimator, e.g., excess length-of-stay in an intermediate state, can also be computed (Allignol et al. 2011 <doi:10.1007/s00180-010-0200-x>).
Author: Arthur Allignol
Maintainer: Arthur Allignol <arthur.allignol@gmail.com>

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Package caRamel updated to version 1.1 with previous version 1.0 dated 2018-03-05

Title: Automatic Calibration by Evolutionary Multi Objective Algorithm
Description: Multi-objective optimizer initially developed for the calibration of hydrological models. The algorithm is a hybrid of the MEAS algorithm (Efstratiadis and Koutsoyiannis (2005) <doi:10.13140/RG.2.2.32963.81446>) by using the directional search method based on the simplexes of the objective space and the epsilon-NGSA-II algorithm with the method of classification of the parameter vectors archiving management by epsilon-dominance (Reed and Devireddy <doi:10.1142/9789812567796_0004>).
Author: Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre]
Maintainer: Fabrice Zaoui <fabrice.zaoui@edf.fr>

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Package Spectrum updated to version 0.6 with previous version 0.5 dated 2019-04-08

Title: Fast Adaptive Spectral Clustering for Single and Multi-View Data
Description: A self-tuning spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens local connections in the graph. It uses a tensor product graph data integration and diffusion procedure to integrate different data sources and reduce noise. 'Spectrum' uses either the eigengap or multimodality gap heuristics to determine the number of clusters. 'Spectrum' was developed for clustering complex single and multi-omic data. However, the method is sufficiently flexible so that a wide range of Gaussian and non-Gaussian structures can be clustered with automatic selection of K.
Author: Christopher R John, David Watson
Maintainer: Christopher R John <chris.r.john86@gmail.com>

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Package BayesianFROC updated to version 0.1.2 with previous version 0.1.1 dated 2019-05-09

Title: FROC Analysis by Bayesian Approaches
Description: Provides new methods for the so-called Free-response Receiver Operating Characteristic (FROC) analysis. The ultimate aim of FROC analysis is to compare observer performances, which means comparing characteristics, such as area under the curve (AUC) or figure of merit (FOM). In this package, we only use the notion of AUC for modality comparison, where by "modality", we mean imaging methods such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission Tomography (PET),...,etc. So there is a problem that which imaging method is better to detect lesions from shadows in radiographs. To solve modality comparison issues, this package provides new methods using hierarchical Bayesian models proposed by the author of this package. Using this package, one can obtain at least one conclusion that which imaging methods are better for finding lesions in radiographs with the case of your data. Fitting FROC statistical models is sometimes not so good, it can easily confirm by drawing FROC curves and comparing these curves and the points constructed by False Positive fractions (FPFs) and True Positive Fractions (TPFs), we can validate the goodness of fit intuitively. Such validation is also implemented by the Chi square goodness of fit statistics in the Bayesian context which means that the parameter is not deterministic, thus by integrating it with the posterior predictive measure, we get a desired value. To compare modalities (imaging methods: MRI,CT,PET,...,etc), we evaluate AUCs for each modality. FROC is developed by Dev Chakraborty, his FROC model in his 1989 paper relies on the maximal likelihood methodology. The author modified and provided the alternative Bayesian FROC model. Strictly speaking, his model does not coincide with models in this package. In FROC context, we means by multiple reader and multiple case (MRMC) the case of the number of reader or modality is two or more. The MRMC data is available for functions of this package. I hope that medical researchers use not only the frequentist method but also alternative Bayesian methods. In medical research, many problems are considered under only frequentist methods, such as the notion of p-values. But p-value is sometimes misunderstood. Bayesian methods provide very simple, direct, intuitive answer for research questions. Combining frequentist methods with Bayesian methods, we can obtain more reliable answer for research questions. Please execute the following R scripts from the R (R studio) console, demo(demo_MRMC, package = "BayesianFROC"); demo(demo_srsc, package = "BayesianFROC"); demo(demo_stan, package = "BayesianFROC"); demo(demo_drawcurves_srsc, package = "BayesianFROC"); demo_Bayesian_FROC(); demo_Bayesian_FROC_without_pause(). References: Dev Chakraborty (1989) <doi:10.1118/1.596358> Maximum likelihood analysis of free - response receiver operating characteristic (FROC) data. Pre-print: Issei Tsunoda; Bayesian Models for free-response receiver operating characteristic analysis. See the vignettes for more details.
Author: Issei Tsunoda [aut, cre]
Maintainer: Issei Tsunoda <tsunoda.issei1111@gmail.com>

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 BayesianFROC-0.1.2/BayesianFROC/NAMESPACE                                                                        |    3 
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 BayesianFROC-0.1.2/BayesianFROC/R/fffaaabbb.R                                                                    |   49 
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 BayesianFROC-0.1.2/BayesianFROC/R/fit_MRMC_test.R                                                                |   16 
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 BayesianFROC-0.1.2/BayesianFROC/R/waic.R                                                                         |   31 
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 BayesianFROC-0.1.2/BayesianFROC/demo/demo_srsc.R                                                                 |    3 
 BayesianFROC-0.1.2/BayesianFROC/demo/demo_stan.R                                                                 |    3 
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 BayesianFROC-0.1.2/BayesianFROC/man/convertFromJafroc.Rd                                                         |   15 
 BayesianFROC-0.1.2/BayesianFROC/man/create_dataList_MRMC.Rd                                                      |    4 
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 BayesianFROC-0.1.2/BayesianFROC/man/data.hier.ficitious.Rd                                                       |    9 
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 BayesianFROC-0.1.2/BayesianFROC/man/dataList.Chakra.4.Rd                                                         |   10 
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 BayesianFROC-0.1.2/BayesianFROC/man/extractAUC.Rd                                                                |    2 
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 BayesianFROC-0.1.2/BayesianFROC/man/extract_EAP_by_array.Rd                                                      |   62 
 BayesianFROC-0.1.2/BayesianFROC/man/extract_estimates_MRMC.Rd                                                    |    2 
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 BayesianFROC-0.1.2/BayesianFROC/man/fffaaabbb.Rd                                                                 |    2 
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 BayesianFROC-0.1.2/BayesianFROC/man/fit_srsc_per_lesion.Rd                                                       |   18 
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 BayesianFROC-0.1.2/BayesianFROC/man/summary_EAP_CI_srsc.Rd                                                       |    2 
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Package overlapping updated to version 1.5.3 with previous version 1.5.2 dated 2018-12-20

Title: Estimation of Overlapping in Empirical Distributions
Description: Functions for estimating the overlapping area of two or more kernel density estimations from empirical data.
Author: Massimiliano Pastore
Maintainer: Massimiliano Pastore <massimiliano.pastore@unipd.it>

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Package blocksdesign updated to version 3.5 with previous version 3.4 dated 2019-02-20

Title: Nested and Crossed Block Designs for Factorial, Fractional Factorial and Unstructured Treatment Sets
Description: Constructs D-optimal or near D-optimal nested and crossed block designs for unstructured or general factorial treatment designs. The treatment design, if required, is found from a model matrix design formula and can be added sequentially, if required. The block design is found from a defined set of block factors and is conditional on the defined treatment design. The block factors are added in sequence and each added block factor is optimized conditional on all previously added block factors. The block design can have repeated nesting down to any required depth of nesting with either simple nested blocks or a crossed blocks design at each level of nesting. Outputs include a table showing the allocation of treatments to blocks and tables showing the achieved D-efficiency factors for each block and treatment design.
Author: R. N. Edmondson.
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

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Package kaos updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-13

Title: Encoding of Sequences Based on Frequency Matrix Chaos Game Representation
Description: Sequences encoding by using the chaos game representation. Löchel et al. (2019) <doi:10.1101/575324>.
Author: Dominik Eger and Hannah Franziska Löchel
Maintainer: Hannah Franziska Löchel <loechelh@mathematik.uni-marburg.de>

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Package rpact updated to version 2.0.0 with previous version 1.0.0 dated 2018-10-30

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut], Friedrich Pahlke [aut, cre]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

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Package RecordLinkage updated to version 0.4-11.1 with previous version 0.4-11 dated 2019-03-14

Title: Record Linkage in R
Description: Provides functions for linking and de-duplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain.
Author: Andreas Borg <andreas.borg.public@posteo.de>, Murat Sariyar <murat.sariyar@charite.de>
Maintainer: ORPHANED

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Package prabclus updated to version 2.2-7.1 with previous version 2.2-7 dated 2019-01-17

Title: Functions for Clustering of Presence-Absence, Abundance and Multilocus Genetic Data
Description: Distance-based parametric bootstrap tests for clustering with spatial neighborhood information. Some distance measures, Clustering of presence-absence, abundance and multilocus genetical data for species delimitation, nearest neighbor based noise detection. Try package?prabclus for on overview.
Author: Christian Hennig <christian.hennig@unibo.it>, Bernhard Hausdorf <Hausdorf@zoologie.uni-hamburg.de>
Maintainer: ORPHANED

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Package pillar updated to version 1.4.1 with previous version 1.4.0 dated 2019-05-11

Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package mem updated to version 2.15 with previous version 2.14 dated 2018-11-08

Title: The Moving Epidemic Method
Description: The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>

Diff between mem versions 2.14 dated 2018-11-08 and 2.15 dated 2019-05-28

 DESCRIPTION                           |   10 
 MD5                                   |  124 ++---
 NAMESPACE                             |    3 
 R/calcular.indicadores.2.timings.R    |  454 ++++++++++--------
 R/calcular.indicadores.R              |  653 +++++++++++++-------------
 R/calcular.map.R                      |   30 -
 R/calcular.optimo.R                   |   23 
 R/calcular.optimo.criterio.R          |   42 -
 R/calcular.optimo.derivada.R          |   40 -
 R/calcular.optimo.original.R          |   30 -
 R/calcular.optimo.pendiente.R         |   26 -
 R/comparar.metodos.R                  |   31 -
 R/epimem.R                            |   20 
 R/extraer.datos.curva.map.R           |   16 
 R/extraer.datos.epi.R                 |   16 
 R/extraer.datos.optimo.map.R          |   16 
 R/extraer.datos.post.epi.R            |   16 
 R/extraer.datos.pre.epi.R             |   16 
 R/full.series.graph.R                 |  409 ++++++++--------
 R/memevolution.R                      |  145 +++--
 R/memgoodness.R                       |  110 +++-
 R/memintensity.R                      |    5 
 R/memmodel.R                          |  839 ++++++++++++++++------------------
 R/memstability.R                      |   68 +-
 R/memsurveillance.R                   |  622 ++++++++++++-------------
 R/memsurveillance.animated.R          |  125 ++---
 R/memtiming.R                         |  245 ++++-----
 R/memtrend.R                          |   82 +--
 R/min.fix.na.R                        |   12 
 R/optimal.tickmarks.R                 |   40 -
 R/optimum.by.inspection.R             |  217 ++++----
 R/output.ci.R                         |    2 
 R/processPlots.R                      |  525 +++++++++++----------
 R/roc.analysis.R                      |   33 -
 R/transformdata.R                     |   93 +--
 R/transformdata.back.R                |  125 ++---
 R/transformseries.R                   |   78 +--
 R/transformseries.loess.R             |   25 -
 R/transformseries.multiple.R          |  141 +++--
 R/transformseries.odd.R               |   16 
 R/transformseries.spline.R            |only
 R/transformseries.twowaves.R          |   18 
 man/calcular.indicadores.2.timings.Rd |    5 
 man/calcular.indicadores.Rd           |    2 
 man/full.series.graph.Rd              |    5 
 man/memevolution.Rd                   |    3 
 man/memgoodness.Rd                    |   25 -
 man/memintensity.Rd                   |    5 
 man/memmodel.Rd                       |    9 
 man/memstability.Rd                   |    3 
 man/memsurveillance.Rd                |   43 +
 man/memsurveillance.animated.Rd       |   17 
 man/memtiming.Rd                      |    8 
 man/memtrend.Rd                       |    5 
 man/optimum.by.inspection.Rd          |    4 
 man/processPlots.Rd                   |    3 
 man/roc.analysis.Rd                   |   12 
 man/transformdata.Rd                  |    5 
 man/transformdata.back.Rd             |    5 
 man/transformseries.Rd                |    6 
 man/transformseries.loess.Rd          |    2 
 man/transformseries.multiple.Rd       |    2 
 man/transformseries.spline.Rd         |only
 man/transformseries.twowaves.Rd       |    2 
 64 files changed, 3016 insertions(+), 2696 deletions(-)

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Package tcie (with last version 0.3) was removed from CRAN

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2019-04-21 0.3

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Package zoo updated to version 1.8-6 with previous version 1.8-5 dated 2019-03-21

Title: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Description: An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
Author: Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Gabor Grothendieck [aut], Jeffrey A. Ryan [aut], Joshua M. Ulrich [ctb], Felix Andrews [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between zoo versions 1.8-5 dated 2019-03-21 and 1.8-6 dated 2019-05-28

 DESCRIPTION                     |    8 ++--
 MD5                             |   44 ++++++++++++-------------
 NEWS                            |   11 ++++++
 R/zoo.R                         |    6 +--
 build/vignette.rds              |binary
 inst/doc/zoo-design.pdf         |binary
 inst/doc/zoo-faq.pdf            |binary
 inst/doc/zoo-quickref.pdf       |binary
 inst/doc/zoo-read.pdf           |binary
 inst/doc/zoo.pdf                |binary
 man/aggregate.zoo.Rd            |    1 
 man/as.zoo.Rd                   |    3 +
 man/coredata.Rd                 |    3 +
 man/ggplot2.zoo.Rd              |    3 +
 man/index.Rd                    |    3 +
 man/is.regular.Rd               |    3 +
 man/rollapply.Rd                |    3 +
 man/rollmean.Rd                 |    3 +
 man/window.zoo.Rd               |    3 +
 man/yearmon.Rd                  |    5 ++
 man/yearqtr.Rd                  |    5 ++
 man/zoo.Rd                      |    3 +
 tests/Examples/zoo-Ex.Rout.save |   68 ++++++++++++++++++++++++++++------------
 23 files changed, 127 insertions(+), 48 deletions(-)

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Package rotor updated to version 0.2.2 with previous version 0.2.1 dated 2019-05-16

Title: Log Rotation and Conditional Backups
Description: Conditionally rotate or back-up files based on their size or the date of the last backup; inspired by the 'Linux' utility 'logrotate'.
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

Diff between rotor versions 0.2.1 dated 2019-05-16 and 0.2.2 dated 2019-05-28

 rotor-0.2.1/rotor/R/BackupQueueDate.R                       |only
 rotor-0.2.1/rotor/R/BackupQueueDateTime.R                   |only
 rotor-0.2.1/rotor/R/BackupQueueIndex.R                      |only
 rotor-0.2.1/rotor/R/parse_datetime.R                        |only
 rotor-0.2.1/rotor/tests/testthat/test_BackupQueueDate.R     |only
 rotor-0.2.1/rotor/tests/testthat/test_BackupQueueDateTime.R |only
 rotor-0.2.1/rotor/tests/testthat/test_BackupQueueIndex.R    |only
 rotor-0.2.2/rotor/DESCRIPTION                               |   15 
 rotor-0.2.2/rotor/MD5                                       |   54 
 rotor-0.2.2/rotor/NEWS.md                                   |   14 
 rotor-0.2.2/rotor/R/BackupQueue.R                           |  651 +++++++
 rotor-0.2.2/rotor/R/DryRunMemory.R                          |    2 
 rotor-0.2.2/rotor/R/list_backups.R                          |   49 
 rotor-0.2.2/rotor/R/parsers.R                               |only
 rotor-0.2.2/rotor/R/rotate.R                                |  108 -
 rotor-0.2.2/rotor/R/rotate_date.R                           |   54 
 rotor-0.2.2/rotor/R/rotate_time.R                           |   58 
 rotor-0.2.2/rotor/R/utils-fs.R                              |   22 
 rotor-0.2.2/rotor/R/utils-predicates.R                      |  101 +
 rotor-0.2.2/rotor/R/utils-rd.R                              |only
 rotor-0.2.2/rotor/R/utils.R                                 |   72 
 rotor-0.2.2/rotor/README.md                                 |   73 
 rotor-0.2.2/rotor/inst/WORDLIST                             |    7 
 rotor-0.2.2/rotor/inst/benchmarks                           |only
 rotor-0.2.2/rotor/man/BackupQueue.Rd                        |  133 +
 rotor-0.2.2/rotor/man/rotate.Rd                             |   60 
 rotor-0.2.2/rotor/man/rotor-package.Rd                      |    5 
 rotor-0.2.2/rotor/tests/testthat/test_BackupQueue.R         |  985 +++++++++++-
 rotor-0.2.2/rotor/tests/testthat/test_parsers.R             |only
 rotor-0.2.2/rotor/tests/testthat/test_rotate.R              |   16 
 rotor-0.2.2/rotor/tests/testthat/test_rotate_date.R         |  171 --
 rotor-0.2.2/rotor/tests/testthat/test_rotate_time.R         |   16 
 rotor-0.2.2/rotor/tests/testthat/test_utils-predicates.R    |  161 +
 33 files changed, 2250 insertions(+), 577 deletions(-)

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Package Tinflex updated to version 1.5 with previous version 1.4 dated 2019-05-09

Title: A Universal Non-Uniform Random Number Generator
Description: A universal non-uniform random number generator for quite arbitrary distributions with piecewise twice differentiable densities.
Author: Josef Leydold, Carsten Botts and Wolfgang H\"ormann
Maintainer: Josef Leydold <josef.leydold@wu.ac.at>

Diff between Tinflex versions 1.4 dated 2019-05-09 and 1.5 dated 2019-05-28

 DESCRIPTION            |    8 ++++----
 MD5                    |    8 ++++----
 NEWS                   |    6 ++++++
 R/hat.R                |   28 +++++++++++++++++++++++-----
 man/Tinflex-package.Rd |    4 ++--
 5 files changed, 39 insertions(+), 15 deletions(-)

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New package swirlify with initial version 0.5.3
Package: swirlify
Title: A Toolbox for Writing 'swirl' Courses
Description: A set of tools for writing and sharing interactive courses to be used with swirl.
URL: http://swirlstats.com
Version: 0.5.3
License: MIT + file LICENSE
Authors@R: c( person("Sean", "Kross", , "sean@seankross.com", c("aut", "cre")), person("Nick", "Carchedi", role = "aut"), person("Chih-Cheng", "Liang", role = "ctb"), person("Wush", "Wu", role = "ctb") )
Depends: R (>= 3.2.0)
Imports: swirl (>= 2.4.2), stringr, yaml, rmarkdown, whisker, shiny, shinyAce, base64enc, readr
Encoding: UTF-8
Suggests: testthat, digest
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-27 21:42:38 UTC; sean
Author: Sean Kross [aut, cre], Nick Carchedi [aut], Chih-Cheng Liang [ctb], Wush Wu [ctb]
Maintainer: Sean Kross <sean@seankross.com>
Repository: CRAN
Date/Publication: 2019-05-28 07:40:03 UTC

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New package mnlogit with initial version 1.2.6
Package: mnlogit
Type: Package
Title: Multinomial Logit Model
Version: 1.2.6
Date: 2019-5-26
Suggests: VGAM, nnet
Imports: mlogit, lmtest, Formula, stats
Author: Asad Hasan, Wang Zhiyu, Alireza S. Mahani
Maintainer: Asad Hasan <asadhasan32@gmail.com>
Description: Time and memory efficient estimation of multinomial logit models using maximum likelihood method. Numerical optimization performed by Newton-Raphson method using an optimized, parallel C++ library to achieve fast computation of Hessian matrices. Motivated by large scale multiclass classification problems in econometrics and machine learning.
License: GPL (>= 2)
NeedsCompilation: yes
Repository: CRAN
Packaged: 2019-05-27 23:23:42 UTC; ahasan
Date/Publication: 2019-05-28 08:00:03 UTC

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Package spp (with last version 1.15.5) was removed from CRAN

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

2018-07-20 1.15.5

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Package Rfmtool (with last version 3.0.0) was removed from CRAN

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

2018-06-05 3.0.0
2018-03-03 2.0.0

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Package EncDNA updated to version 1.0.2 with previous version 1.0.1 dated 2018-10-01

Title: Encoding of Nucleotide Sequences into Numeric Feature Vectors
Description: We describe fifteen different splice site sequence encoding schemes that have been used in earlier studies for mapping of splice site sequences into numeric feature vectors. These encoding schemes will also be helpful for transforming other nucleotide sequences into numeric forms, provided they are of equal length. These encoding schemes will help the computational biologist working in the field of classification (binary or multiclass) or prediction involving nucleic acid sequences of equal length.
Author: Prabina Kumar Meher
Maintainer: Prabina Kumar Meher <meherprabin@yahoo.com>

Diff between EncDNA versions 1.0.1 dated 2018-10-01 and 1.0.2 dated 2019-05-28

 DESCRIPTION    |    9 +++++----
 MD5            |    4 ++--
 data/droso.rda |binary
 3 files changed, 7 insertions(+), 6 deletions(-)

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

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

2018-08-20 1.0.0

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

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

2019-05-13 1.0.0

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Package measurements updated to version 1.4.0 with previous version 1.3.0 dated 2018-12-09

Title: Tools for Units of Measurement
Description: Collection of tools to make working with physical measurements easier. Convert between metric and imperial units, or calculate a dimension's unknown value from other dimensions' measurements.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

Diff between measurements versions 1.3.0 dated 2018-12-09 and 1.4.0 dated 2019-05-28

 DESCRIPTION      |   10 +++++-----
 MD5              |    8 ++++----
 NEWS             |    5 +++++
 R/conv_unit.R    |   37 +++++++++++++++++++++++++++++++++++--
 man/conv_unit.Rd |    1 +
 5 files changed, 50 insertions(+), 11 deletions(-)

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Package jmvcore updated to version 1.0.0 with previous version 0.9.6.4 dated 2019-03-28

Title: Dependencies for the 'jamovi' Framework
Description: A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
Author: Jonathon Love
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmvcore versions 0.9.6.4 dated 2019-03-28 and 1.0.0 dated 2019-05-28

 DESCRIPTION                 |    8 +--
 MD5                         |   24 +++++-----
 NAMESPACE                   |    1 
 R/analysis.R                |   10 +++-
 R/column.R                  |    2 
 R/html.R                    |   12 ++++-
 R/options.R                 |    7 ++
 R/preformatted.R            |    2 
 R/utils.R                   |  104 ++++++++++++++++++++++++++++++++++++++------
 inst/jamovi.proto           |    2 
 man/Options.Rd              |    3 +
 man/stringifyTerm.Rd        |    5 +-
 tests/testthat/test-utils.R |   18 +++++++
 13 files changed, 163 insertions(+), 35 deletions(-)

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