Title: Tools for Writing MCMC
Description: Simplifies MCMC setup by automatically looping through sampling functions and saving the results. Reduces the memory footprint of running MCMC and saves samples to disk as the chain runs. Allows samples from the chain to be analyzed while the MCMC is still running. Provides functions for commonly performed operations such as calculating Metropolis acceptance ratios and creating adaptive Metropolis samplers. References: Roberts and Rosenthal (2009) <doi:10.1198/jcgs.2009.06134>.
Author: Kurtis Shuler [aut, cre]
Maintainer: Kurtis Shuler <kurtis.s.1122+CRAN@gmail.com>
Diff between overture versions 0.2-0 dated 2019-03-15 and 0.4-0 dated 2019-08-10
overture-0.2-0/overture/man/AcceptProposal.Rd |only overture-0.4-0/overture/DESCRIPTION | 6 overture-0.4-0/overture/MD5 | 20 +- overture-0.4-0/overture/NAMESPACE | 2 overture-0.4-0/overture/NEWS.md | 9 + overture-0.4-0/overture/R/mcmc.R | 106 +++++++++--- overture-0.4-0/overture/R/utilities.R | 55 ++---- overture-0.4-0/overture/build/partial.rdb |binary overture-0.4-0/overture/man/Amwg.Rd | 46 ++++- overture-0.4-0/overture/man/Resume.Rd |only overture-0.4-0/overture/tests/testthat/test-mcmc.R | 139 +++++++++++++++- overture-0.4-0/overture/tests/testthat/test-utilities.R | 32 +++ 12 files changed, 340 insertions(+), 75 deletions(-)
Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits.
Author: Jeffrey O Hanson [aut, cre], Richard Schuster [aut], Matthew Strimas-Mackey [aut], Joseph Bennett [aut]
Maintainer: Jeffrey O Hanson <firstname.lastname@example.org>
Diff between oppr versions 0.0.3 dated 2019-04-10 and 0.0.4 dated 2019-08-10
DESCRIPTION | 10 MD5 | 22 NEWS.md | 15 R/add_gurobi_solver.R | 2 R/package.R | 2 README.md | 8 build/vignette.rds |binary inst/CITATION | 2 inst/doc/oppr.html | 1287 +++++++++++++++++------------------ man/add_gurobi_solver.Rd | 2 man/figures/README-readme-plot-1.png |binary man/oppr.Rd | 2 12 files changed, 679 insertions(+), 673 deletions(-)
Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut, cre], Winston Chang [aut], Lionel Henry [aut], Thomas Lin Pedersen [aut], Kohske Takahashi [aut], Claus Wilke [aut], Kara Woo [aut], Hiroaki Yutani [aut], RStudio [cph]
Maintainer: Hadley Wickham <email@example.com>
Diff between ggplot2 versions 3.2.0 dated 2019-06-16 and 3.2.1 dated 2019-08-10
DESCRIPTION | 6 ++-- MD5 | 18 ++++++------ NEWS.md | 12 ++++++++ R/position-stack.r | 2 - R/quick-plot.r | 5 ++- inst/doc/extending-ggplot2.html | 2 - inst/doc/profiling.html | 8 ++--- tests/testthat/Rplots.pdf |binary tests/testthat/test-coord_sf.R | 52 ++++++++++++++++++++++------------- tests/testthat/test-position-stack.R | 10 +++--- 10 files changed, 72 insertions(+), 43 deletions(-)
Title: Yet Another 'ARFF' Reader
Description: A parser and a writer for 'WEKA' Attribute-Relation File Format <https://waikato.github.io/weka-wiki/arff_stable/> in pure R, with no dependencies. As opposed to other R implementations, this package can read standard (dense) as well as sparse files, i.e. those where each row does only contain nonzero components. Unlike 'RWeka', 'yarr' does not require any 'Java' installation nor is dependent on external software. This implementation is generalized from those in packages 'mldr' and 'mldr.datasets'.
Author: David Charte [aut, cre] (<https://orcid.org/0000-0002-4830-9512>), Francisco Charte [aut] (<https://orcid.org/0000-0002-3083-8942>)
Maintainer: David Charte <firstname.lastname@example.org>
Diff between yarr versions 0.1.1 dated 2019-05-17 and 0.1.2 dated 2019-08-10
DESCRIPTION | 6 - MD5 | 22 ++-- R/read.R | 156 ++++++++++++++++++++++------------ R/utils.R | 2 R/write.R | 12 +- README.md | 41 +++++--- man/read.arff.Rd | 9 + man/utils.Rd | 2 tests/testthat/test-attributes.R | 50 ++++++++++ tests/testthat/test-idempotence.R | 12 ++ tests/testthat/test-relation.R |only tests/testthat/test-sparse-defaults.R | 1 tests/testthat/test-values.R |only 13 files changed, 215 insertions(+), 98 deletions(-)