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Title: Interface for MOA Stream Clustering Algorithms
Description: Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of Machine Learning Research 11: 1601-1604).
Author: Michael Hahsler [aut, cre, cph],
John Forrest [aut, cph],
Matthew Bolanos [ctb],
Matthias Carnein [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Diff between streamMOA versions 1.2-0 dated 2019-03-14 and 1.2-1 dated 2019-03-20
DESCRIPTION | 12 ++++++------ MD5 | 12 ++++++------ NEWS.md | 4 ++++ R/onLoad.R | 2 +- inst/doc/streamMOA.pdf |binary inst/java/StreamMOA.jar |binary java/Makefile | 2 +- 7 files changed, 18 insertions(+), 14 deletions(-)
Title: Plackett-Luce Models for Rankings
Description: Functions to prepare rankings data and fit the Plackett-Luce model
jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce
(1959, ISBN:0486441369). The standard Plackett-Luce model is generalized
to accommodate ties of any order in the ranking. Partial rankings, in which
only a subset of items are ranked in each ranking, are also accommodated in
the implementation. Disconnected/weakly connected networks implied by the
rankings may be handled by adding pseudo-rankings with a hypothetical item.
Optionally, a multivariate normal prior may be set on the log-worth
parameters and ranker reliabilities may be incorporated as proposed by
Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a
posteriori estimation is used when priors are set. Methods are provided to
estimate standard errors or quasi-standard errors for inference as well as
to fit Plackett-Luce trees. See the package website or vignette for further
details.
Author: Heather Turner [aut, cre] (<https://orcid.org/0000-0002-1256-3375>),
Ioannis Kosmidis [aut] (<https://orcid.org/0000-0003-1556-0302>),
David Firth [aut] (<https://orcid.org/0000-0003-0302-2312>),
Jacob van Etten [ctb] (<https://orcid.org/0000-0001-7554-2558>)
Maintainer: Heather Turner <ht@heatherturner.net>
Diff between PlackettLuce versions 0.2-3 dated 2018-04-09 and 0.2-5 dated 2019-03-20
PlackettLuce-0.2-3/PlackettLuce/tests/testthat/test-methods.R |only PlackettLuce-0.2-5/PlackettLuce/DESCRIPTION | 24 PlackettLuce-0.2-5/PlackettLuce/MD5 | 115 PlackettLuce-0.2-5/PlackettLuce/NAMESPACE | 2 PlackettLuce-0.2-5/PlackettLuce/NEWS.md | 20 PlackettLuce-0.2-5/PlackettLuce/R/PlackettLuce.R | 1493 +++++----- PlackettLuce-0.2-5/PlackettLuce/R/adjacency.R | 10 PlackettLuce-0.2-5/PlackettLuce/R/choices.R | 6 PlackettLuce-0.2-5/PlackettLuce/R/coef.R | 122 PlackettLuce-0.2-5/PlackettLuce/R/connectivity.R | 4 PlackettLuce-0.2-5/PlackettLuce/R/fit_adherence.R |only PlackettLuce-0.2-5/PlackettLuce/R/fit_common.R |only PlackettLuce-0.2-5/PlackettLuce/R/fitted.R | 45 PlackettLuce-0.2-5/PlackettLuce/R/grouped_rankings.R | 499 +-- PlackettLuce-0.2-5/PlackettLuce/R/itempar.R | 12 PlackettLuce-0.2-5/PlackettLuce/R/logLik.R | 2 PlackettLuce-0.2-5/PlackettLuce/R/plfit.R | 91 PlackettLuce-0.2-5/PlackettLuce/R/pltree.R | 585 ++- PlackettLuce-0.2-5/PlackettLuce/R/print.PlackettLuce.R | 10 PlackettLuce-0.2-5/PlackettLuce/R/qvcalc.PlackettLuce.R | 28 PlackettLuce-0.2-5/PlackettLuce/R/rankings.R | 49 PlackettLuce-0.2-5/PlackettLuce/R/read.soc.R | 16 PlackettLuce-0.2-5/PlackettLuce/R/simulate.R | 334 +- PlackettLuce-0.2-5/PlackettLuce/R/summary.R | 102 PlackettLuce-0.2-5/PlackettLuce/R/utility.R | 50 PlackettLuce-0.2-5/PlackettLuce/R/vcov.R | 154 - PlackettLuce-0.2-5/PlackettLuce/README.md | 16 PlackettLuce-0.2-5/PlackettLuce/TODO |only PlackettLuce-0.2-5/PlackettLuce/build/vignette.rds |binary PlackettLuce-0.2-5/PlackettLuce/inst/PlackettLuce0/PlackettLuce0.R | 2 PlackettLuce-0.2-5/PlackettLuce/inst/Reference_Implementations/sgdPL.R |only PlackettLuce-0.2-5/PlackettLuce/inst/Reference_Implementations/vcov_hessian.R |only PlackettLuce-0.2-5/PlackettLuce/inst/WORDLIST | 150 - PlackettLuce-0.2-5/PlackettLuce/inst/doc/Overview.R | 7 PlackettLuce-0.2-5/PlackettLuce/inst/doc/Overview.Rmd | 10 PlackettLuce-0.2-5/PlackettLuce/inst/doc/Overview.html | 568 ++- PlackettLuce-0.2-5/PlackettLuce/man/PlackettLuce.Rd | 176 + PlackettLuce-0.2-5/PlackettLuce/man/figures/always-loses-1.png |binary PlackettLuce-0.2-5/PlackettLuce/man/figures/qv-1.png |binary PlackettLuce-0.2-5/PlackettLuce/man/fitted.PlackettLuce.Rd | 3 PlackettLuce-0.2-5/PlackettLuce/man/grouped_rankings.Rd | 2 PlackettLuce-0.2-5/PlackettLuce/man/plfit.Rd | 11 PlackettLuce-0.2-5/PlackettLuce/man/pltree.Rd | 20 PlackettLuce-0.2-5/PlackettLuce/man/qvcalc.PlackettLuce.Rd | 26 PlackettLuce-0.2-5/PlackettLuce/man/rankings.Rd | 2 PlackettLuce-0.2-5/PlackettLuce/man/reexports.Rd | 2 PlackettLuce-0.2-5/PlackettLuce/man/simulate.PlackettLuce.Rd | 6 PlackettLuce-0.2-5/PlackettLuce/man/summaries.Rd | 40 PlackettLuce-0.2-5/PlackettLuce/tests/testthat/outputs/pl_adherence_pseudo.rds |only PlackettLuce-0.2-5/PlackettLuce/tests/testthat/outputs/pltree_adherence_beans.rds |only PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-S3-methods.R |only PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-adherence.R |only PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-agrank.R |only PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-algorithms.R | 64 PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-estfun.R |only PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-log-likelihood.R | 26 PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-networks.R | 36 PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-psycho.R | 78 PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-rankings.R | 26 PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-simulate.R | 55 PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-start.R | 7 PlackettLuce-0.2-5/PlackettLuce/tests/testthat/test-vcov.R |only PlackettLuce-0.2-5/PlackettLuce/vignettes/Overview.Rmd | 10 PlackettLuce-0.2-5/PlackettLuce/vignettes/plackettluce.bib | 6 PlackettLuce-0.2-5/PlackettLuce/vignettes/render.R | 29 65 files changed, 3029 insertions(+), 2122 deletions(-)
Title: Find Tools Needed to Build R Packages
Description: Provides functions used to build R packages. Locates compilers
needed to build R packages on various platforms and ensures the PATH is
configured appropriately so R can use them.
Author: Hadley Wickham [aut],
Jim Hester [aut, cre],
RStudio [cph]
Maintainer: Jim Hester <james.hester@rstudio.com>
Diff between pkgbuild versions 1.0.2 dated 2018-10-16 and 1.0.3 dated 2019-03-20
DESCRIPTION | 6 +-- MD5 | 14 ++++++-- NEWS.md | 6 +++ R/has_src.R | 57 ++++++++++++++++++++++++++++++++++-- tests/testthat/fixtures |only tests/testthat/test-archives.R |only tests/testthat/test-build-process.r | 8 +++++ 7 files changed, 82 insertions(+), 9 deletions(-)
Title: Create Pivot Tables in R
Description: Create regular pivot tables with just a few lines of R.
More complex pivot tables can also be created, e.g. pivot tables
with irregular layouts, multiple calculations and/or derived
calculations based on multiple data frames. Pivot tables are
constructed using R only and can be written to a range of
output formats (plain text, 'HTML', 'Latex' and 'Excel'),
including with styling/formatting.
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>
Diff between pivottabler versions 1.1.0 dated 2019-02-17 and 1.2.0 dated 2019-03-20
DESCRIPTION | 6 - MD5 | 97 +++++++++---------- NEWS.md | 28 +++++ R/PivotHtmlRenderer.R | 16 +-- R/PivotTable.R | 15 +- R/convertor.R | 24 +++- R/utilities.R | 17 +++ build/vignette.rds |binary inst/doc/v01-introduction.html | 105 ++++++++++---------- inst/doc/v02-datagroups.html | 65 ++++++------ inst/doc/v03-calculations.html | 85 ++++++++-------- inst/doc/v04-outputs.Rmd | 2 inst/doc/v04-outputs.html | 43 ++++---- inst/doc/v05-latexoutput.html | 13 +- inst/doc/v06-styling.Rmd | 25 ++++ inst/doc/v06-styling.html | 76 +++++++++----- inst/doc/v07-findingandformatting.html | 137 +++++++++++++-------------- inst/doc/v08-cellcontext.html | 29 +++-- inst/doc/v09-irregularlayout.html | 65 ++++++------ inst/doc/v10-performance.html | 67 ++++++------- inst/doc/v11-shiny.html | 9 + inst/doc/v12-excelexport.Rmd | 2 inst/doc/v12-excelexport.html | 15 +- inst/doc/vA1-appendix.html | 21 ++-- inst/doc/vA2-appendix.html | 81 ++++++++------- inst/doc/vA3-appendix.html | 13 +- man/PivotTable.Rd | 4 man/convertPvtTblToBasicTbl.Rd | 6 - man/oneToNULL.Rd |only tests/testthat/test01_basicTests.R | 3 tests/testthat/test02_smokeTests.R | 12 +- tests/testthat/test03_illegalNameTests.R | 2 tests/testthat/test04_quickPivotTests.R | 26 ++--- tests/testthat/test05_basicLayoutTests.R | 68 ++++++------- tests/testthat/test06_dataGroupTests.R | 16 +-- tests/testthat/test07_calculationTests.R | 28 ++--- tests/testthat/test08_visualTotalTests.R | 2 tests/testthat/test09_dataTypeTests.R | 52 +++++----- tests/testthat/test10_themingTests.R | 36 ++++++- tests/testthat/test11_emptyGroupTests.R | 12 +- tests/testthat/test12_exportTests.R | 72 ++++++++++++-- tests/testthat/test13_latexTests.R | 40 +++---- tests/testthat/test14_exportOptionsTests.R | 8 - tests/testthat/test15_findGrouptests.R | 16 +-- tests/testthat/test16_getCellsTests.R | 12 +- tests/testthat/test17_findCellstests.R | 10 - tests/testthat/test18_irregularLayoutTests.R | 10 - vignettes/v04-outputs.Rmd | 2 vignettes/v06-styling.Rmd | 25 ++++ vignettes/v12-excelexport.Rmd | 2 50 files changed, 887 insertions(+), 633 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],
Joeseph Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>
Diff between oppr versions 0.0.1 dated 2019-03-18 and 0.0.2 dated 2019-03-20
DESCRIPTION | 6 MD5 | 104 +- NEWS.md | 13 R/ProjectProblem-proto.R | 2 R/add_absolute_targets.R | 3 R/add_binary_decisions.R | 3 R/add_default_solver.R | 3 R/add_feature_weights.R | 3 R/add_heuristic_solver.R | 2 R/add_locked_in_constraints.R | 3 R/add_locked_out_constraints.R | 3 R/add_max_phylo_div_objective.R | 2 R/add_max_richness_objective.R | 5 R/add_max_targets_met_objective.R | 5 R/add_min_set_objective.R | 3 R/add_random_solver.R | 2 R/add_relative_targets.R | 3 R/constraints.R | 3 R/decisions.R | 3 R/internal.R | 2 R/objectives.R | 7 R/plot.R | 4 R/plot_feature_persistence.R | 2 R/plot_phylo_persistence.R | 2 R/targets.R | 2 R/weights.R | 3 README.md | 4 inst/doc/oppr.html | 1170 +++++++++++++++++++++++++++++++- man/add_absolute_targets.Rd | 3 man/add_binary_decisions.Rd | 3 man/add_default_solver.Rd | 3 man/add_feature_weights.Rd | 3 man/add_heuristic_solver.Rd | 2 man/add_locked_in_constraints.Rd | 3 man/add_locked_out_constraints.Rd | 3 man/add_max_phylo_div_objective.Rd | 2 man/add_max_richness_objective.Rd | 5 man/add_max_targets_met_objective.Rd | 5 man/add_min_set_objective.Rd | 3 man/add_random_solver.Rd | 2 man/add_relative_targets.Rd | 3 man/constraints.Rd | 3 man/decisions.Rd | 3 man/objectives.Rd | 7 man/plot.ProjectProblem.Rd | 4 man/plot_feature_persistence.Rd | 2 man/plot_phylo_persistence.Rd | 2 man/targets.Rd | 2 man/weights.Rd | 3 src/functions.cpp | 10 src/rcpp_random_solution.cpp | 4 tests/testthat/test_parameters.R | 21 tests/testthat/test_replacement_costs.R | 3 53 files changed, 1339 insertions(+), 132 deletions(-)
Title: Analysis and Mining of Multilayer Social Networks
Description: Functions for the creation/generation and analysis of multilayer social networks.
Author: Matteo Magnani, Davide Vega, Mikael Dubik (glouvain). The package uses functions from eclat (www.borgelt.net/eclat.html), for association rule mining, Eigen (eigen.tuxfamily.org) and spectra (https://spectralib.org), for matrix manipulation, Infomap (www.mapequation.org), for the Infomap community detection method, and Howard Hinnant's date and time library (https://github.com/HowardHinnant/date). The code from this libraries has been included in our source package.
Maintainer: Matteo Magnani <matteo.magnani@it.uu.se>
Diff between multinet versions 3.0.0 dated 2019-03-07 and 3.0.1 dated 2019-03-20
DESCRIPTION | 10 MD5 | 66 ++-- NEWS | 6 inst/extdata/bankwiring.mpx | 3 man/ActorMeasures.Rd | 18 - man/Conversion.Rd | 8 src/include/core/datastructures/observers/GenericObserver.h | 4 src/include/core/datastructures/propertymatrix/PropertyMatrix.h | 3 src/include/mnet/community/infomap.h | 4 src/include/mnet/datastructures/graphs/AttributedHomogeneousMultilayerNetwork.h | 1 src/include/mnet/io/read_common.h | 5 src/include/mnet/io/write_attributed_homogeneous_multilayer_network.h | 20 + src/include/mnet/measures/layer.h | 92 +++++- src/include/net/datastructures/objects/Dyad.h | 2 src/infomap/infomap/InfomapBase.cpp | 26 + src/infomap/infomap/InfomapGreedySpecialized.h | 29 +- src/infomap/infomap/InfomapGreedyTypeSpecialized.h | 53 +++ src/infomap/infomap/Node.h | 1 src/infomap/infomap/flowData.h | 22 + src/infomap/io/ProgramInterface.cpp | 1 src/infomap/io/TreeDataWriter.cpp | 1 src/infomap/utils/Logger.h | 5 src/lib/infomap/infomap/InfomapBase.cpp | 26 + src/lib/infomap/infomap/InfomapGreedySpecialized.h | 29 +- src/lib/infomap/infomap/InfomapGreedyTypeSpecialized.h | 53 +++ src/lib/infomap/infomap/Node.h | 1 src/lib/infomap/infomap/flowData.h | 22 + src/lib/infomap/io/ProgramInterface.cpp | 1 src/lib/infomap/io/TreeDataWriter.cpp | 1 src/lib/infomap/utils/Logger.h | 5 src/multinet/mnet/datastructures/graphs/AttributedTwoModeNetwork.cpp | 6 src/multinet/mnet/io/read_attributed_homogeneous_multilayer_network.cpp | 11 src/multinet/mnet/io/read_common.cpp | 40 ++- src/r_functions.cpp | 133 ++++++---- 34 files changed, 523 insertions(+), 185 deletions(-)
Title: Multivariate Functional Principal Component Analysis for Data
Observed on Different Dimensional Domains
Description: Calculate a multivariate functional principal component analysis
for data observed on different dimensional domains. The estimation algorithm
relies on univariate basis expansions for each element of the multivariate
functional data (Happ & Greven, 2018) <doi:10.1080/01621459.2016.1273115>. Multivariate and univariate functional data objects are
represented by S4 classes for this type of data implemented in the package
'funData'. For more details on the general concepts of both packages and a case study, see Happ (2018) <arXiv:1707.02129>.
Author: Clara Happ [aut, cre] (<https://orcid.org/0000-0003-4737-3835>)
Maintainer: Clara Happ <clara.happ@stat.uni-muenchen.de>
Diff between MFPCA versions 1.3-1 dated 2018-10-04 and 1.3-2 dated 2019-03-20
MFPCA-1.3-1/MFPCA/tests/testthat/Rplots.pdf |only MFPCA-1.3-2/MFPCA/DESCRIPTION | 8 +-- MFPCA-1.3-2/MFPCA/MD5 | 17 +++---- MFPCA-1.3-2/MFPCA/NEWS.md | 6 ++ MFPCA-1.3-2/MFPCA/build/partial.rdb |binary MFPCA-1.3-2/MFPCA/configure | 32 +++++++++----- MFPCA-1.3-2/MFPCA/configure.ac | 2 MFPCA-1.3-2/MFPCA/tests/testthat/test_MFPCA_calculation.R | 10 ++-- MFPCA-1.3-2/MFPCA/tests/testthat/test_fftw.R | 2 MFPCA-1.3-2/MFPCA/tests/testthat/test_univDecomp.R | 2 10 files changed, 51 insertions(+), 28 deletions(-)
Title: Utilities for Japanese Mesh Code
Description: Helpful functions for using mesh code (80km to 125m) data in Japan. Visualize mesh code using 'ggplot2' and 'leaflet', etc.
Author: Shinya Uryu [aut, cre] (<https://orcid.org/0000-0002-0493-6186>)
Maintainer: Shinya Uryu <suika1127@gmail.com>
Diff between jpmesh versions 1.1.1 dated 2018-06-26 and 1.1.2 dated 2019-03-20
DESCRIPTION | 11 MD5 | 53 +-- NAMESPACE | 2 NEWS.md | 4 R/administration_mesh.R | 46 ++ R/export_mesh.R | 17 - R/find_neighbor_mesh.R | 60 ++- R/latlon_to_mesh.R | 31 +- R/mesh_to_latlon.R | 34 +- R/mesh_viewer.R | 11 R/util.R | 19 + build/vignette.rds |binary data/jpnrect.rda |binary inst/doc/usage.html | 401 +++++++------------------- man/administration_mesh.Rd | 4 man/coords_to_mesh.Rd | 9 man/figures/README-jpn_simple_map-1.png |binary man/figures/README-jpn_simple_map_sf-1.png |binary man/figures/README-mesh_pref33_map-1.png |binary man/figures/README-mesh_pref_33_leaflet-1.png |binary man/figures/logo.png |binary tests/testthat/test-administration_mesh.R | 49 +++ tests/testthat/test-find.R | 31 ++ tests/testthat/test-fine_separate.R | 16 + tests/testthat/test-latlong_to_meshcode.R | 51 +++ tests/testthat/test-meshcode_to_latlon.R | 2 tests/testthat/test-neighborhood.R |only tests/testthat/test-rmesh.R | 5 28 files changed, 465 insertions(+), 391 deletions(-)
Title: Adaptive, Sine-Multitaper Power Spectral Density Estimation
Description: Produces power spectral density estimates through iterative
refinement of the optimal number of sine-tapers at each frequency. This
optimization procedure is based on the method of Riedel and Sidorenko
(1995), which minimizes the Mean Square Error (sum of variance and bias)
at each frequency, but modified for computational stability.
Author: Andrew J. Barbour [aut, cre] (<https://orcid.org/0000-0001-6473-5493>),
Robert L. Parker [cre],
Jonathan Kennel [ctb]
Maintainer: Andrew J. Barbour <andy.barbour@gmail.com>
Diff between psd versions 1.0-1 dated 2015-03-22 and 1.2.0 dated 2019-03-20
psd-1.0-1/psd/man/ctap_simple_rcpp.Rd |only psd-1.0-1/psd/src/ctap_simple.c |only psd-1.0-1/psd/tests/testthat/test-spec.R |only psd-1.2.0/psd/DESCRIPTION | 21 - psd-1.2.0/psd/MD5 | 132 +++---- psd-1.2.0/psd/NAMESPACE | 42 +- psd-1.2.0/psd/R/RcppExports.R | 61 ++- psd-1.2.0/psd/R/func_envir.R | 2 psd-1.2.0/psd/R/func_pilot.R | 21 - psd-1.2.0/psd/R/func_psdcore.R | 21 - psd-1.2.0/psd/R/func_pspectrum.R | 49 +- psd-1.2.0/psd/R/func_riedsid.R | 119 +++--- psd-1.2.0/psd/R/func_spec.R | 56 +- psd-1.2.0/psd/R/func_specprops.R | 118 +++--- psd-1.2.0/psd/R/func_tapers.R | 136 ++----- psd-1.2.0/psd/R/func_whiten.R | 32 - psd-1.2.0/psd/R/psd-package.R | 26 - psd-1.2.0/psd/R/zzz.R | 9 psd-1.2.0/psd/README.md | 65 +-- psd-1.2.0/psd/build/vignette.rds |binary psd-1.2.0/psd/data/Tohoku.rda |binary psd-1.2.0/psd/data/hfsnm.rda |binary psd-1.2.0/psd/data/magnet.rda |binary psd-1.2.0/psd/inst/Examples/rdex_constraintapers.R | 7 psd-1.2.0/psd/inst/Examples/rdex_parabolicweights.R | 6 psd-1.2.0/psd/inst/Examples/rdex_riedsid.R | 18 psd-1.2.0/psd/inst/NEWS.Rd | 62 ++- psd-1.2.0/psd/inst/doc/fftw.pdf |binary psd-1.2.0/psd/inst/doc/normalization.pdf |binary psd-1.2.0/psd/inst/doc/psd_overview.Rnw | 4 psd-1.2.0/psd/inst/doc/psd_overview.pdf |binary psd-1.2.0/psd/man/Tohoku.Rd | 11 psd-1.2.0/psd/man/as.tapers.Rd | 11 psd-1.2.0/psd/man/ctap_loess.Rd | 13 psd-1.2.0/psd/man/hfsnm.Rd | 3 psd-1.2.0/psd/man/magnet.Rd | 17 psd-1.2.0/psd/man/modulo_floor.Rd | 12 psd-1.2.0/psd/man/parabolic_weights.Rd | 39 +- psd-1.2.0/psd/man/pgram_compare.Rd | 5 psd-1.2.0/psd/man/pilot_spec.Rd | 33 - psd-1.2.0/psd/man/prewhiten.Rd | 48 +- psd-1.2.0/psd/man/psd-environment.Rd | 46 +- psd-1.2.0/psd/man/psd-normalization.Rd | 26 - psd-1.2.0/psd/man/psd-package.Rd | 71 +-- psd-1.2.0/psd/man/psd-utilities.Rd | 55 +- psd-1.2.0/psd/man/psdcore.Rd | 23 - psd-1.2.0/psd/man/pspectrum.Rd | 21 - psd-1.2.0/psd/man/rcpp_ctap_simple.Rd | 11 psd-1.2.0/psd/man/resample_fft_rcpp.Rd | 6 psd-1.2.0/psd/man/resample_fft_rcpp2.Rd |only psd-1.2.0/psd/man/riedsid.Rd | 48 +- psd-1.2.0/psd/man/riedsid_rcpp.Rd |only psd-1.2.0/psd/man/spec-methods.Rd | 34 - psd-1.2.0/psd/man/spec_confint.Rd | 38 +- psd-1.2.0/psd/man/spectral_properties.Rd | 45 +- psd-1.2.0/psd/man/splineGrad.Rd | 13 psd-1.2.0/psd/man/tapers-constraints.Rd | 57 +-- psd-1.2.0/psd/man/tapers-methods.Rd | 19 - psd-1.2.0/psd/man/tapers-refinement.Rd |only psd-1.2.0/psd/src/RcppExports.cpp | 96 ++++- psd-1.2.0/psd/src/ctap_simple_r.cpp | 7 psd-1.2.0/psd/src/resample_fft.cpp | 375 ++++++++++++++++++-- psd-1.2.0/psd/tests/testthat/Rplots.pdf |only psd-1.2.0/psd/tests/testthat/test-coerce.R |only psd-1.2.0/psd/tests/testthat/test-ctap.R | 108 +++-- psd-1.2.0/psd/tests/testthat/test-fft.R | 6 psd-1.2.0/psd/tests/testthat/test-riedsid.R |only psd-1.2.0/psd/tests/testthat/test-spec-I.R |only psd-1.2.0/psd/tests/testthat/test-spec-II.R |only psd-1.2.0/psd/tests/testthat/test-specprop.R |only psd-1.2.0/psd/tests/testthat/test-utils.R | 49 +- psd-1.2.0/psd/tests/testthat/test-weights.R | 13 psd-1.2.0/psd/vignettes/psd_overview.Rnw | 4 73 files changed, 1439 insertions(+), 931 deletions(-)
Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using priority-queue
shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed
graphs have weights from A to B which may differ from those from B to A.
Dual-weighted directed graphs have two sets of such weights. A canonical
example is a street network to be used for routing in which routes are
calculated by weighting distances according to the type of way and mode of
transport, yet lengths of routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre],
Andreas Petutschnig [aut],
Robin Lovelace [ctb],
Andrew Smith [ctb],
Malcolm Morgan [ctb],
Shane Saunders [cph] (Original author of included code for priority
heaps)
Maintainer: Mark Padgham <mark.padgham@email.com>
Diff between dodgr versions 0.1.2 dated 2019-01-09 and 0.1.3 dated 2019-03-20
DESCRIPTION | 24 ++--- MD5 | 68 +++++++++------- NAMESPACE | 6 + NEWS.md | 18 ++++ R/RcppExports.R | 15 ++- R/dists.R | 11 ++ R/flows.R | 13 ++- R/fund-cycles.R |only R/graph-contraction.R | 46 ++++++++++ R/graph-conversion.R | 168 +++++++++++++++++++++++++++++++++++++++- R/graph-functions-misc.R | 12 ++ R/graph-functions.R | 12 +- R/paths.R | 52 ++++-------- R/streetnet-fns.R | 64 --------------- README.md | 65 +++++++++------ inst/CITATION | 23 ++--- inst/doc/benchmark.html | 20 +++- inst/doc/dodgr.html | 139 +++++++++++++++------------------ man/dodgr_contract_graph.Rd | 4 man/dodgr_full_cycles.Rd |only man/dodgr_fundamental_cycles.Rd |only man/dodgr_sflines_to_poly.Rd |only man/dodgr_to_igraph.Rd | 6 + man/dodgr_to_sf.Rd |only man/dodgr_to_sfc.Rd | 11 +- man/dodgr_uncontract_graph.Rd |only man/igraph_to_dodgr.Rd |only man/weight_streetnet.Rd | 4 src/Makevars | 4 src/Makevars.win | 4 src/RcppExports.cpp | 13 +++ src/dijkstra.h | 16 --- src/fund-cycles.cpp |only src/fund-cycles.h |only src/graph.cpp | 8 - src/run_sp.cpp | 19 ++-- src/run_sp.h | 8 - src/sf-as-network.h | 2 tests/testthat/test-cycles.R |only tests/testthat/test-paths.R | 8 - 40 files changed, 543 insertions(+), 320 deletions(-)
Title: Copula-Based Joint Analysis of Multiple Phenotypes
Description: We provide a computationally efficient and robust implementation of the recently proposed C-JAMP (Copula-based Joint Analysis of Multiple Phenotypes) method (Konigorski et al., 2019, submitted). C-JAMP allows estimating and testing the association of one or multiple predictors on multiple outcomes in a joint model, and is implemented here with a focus on large-scale genome-wide association studies with two phenotypes. The use of copula functions allows modeling a wide range of multivariate dependencies between the phenotypes, and previous results are supporting that C-JAMP can increase the power of association studies to identify associated genetic variants in comparison to existing methods (Konigorski, Yilmaz, Pischon, 2016, <DOI:10.1186/s12919-016-0045-6>; Konigorski, Yilmaz, Bull, 2014, <DOI:10.1186/1753-6561-8-S1-S72>). In addition to the C-JAMP functions, functions are available to generate genetic and phenotypic data, to compute the minor allele frequency (MAF) of genetic markers, and to estimate the phenotypic variance explained by genetic markers.
Author: Stefan Konigorski [aut, cre],
Yildiz E. Yilmaz [ctb, ths]
Maintainer: Stefan Konigorski <stefan.konigorski@gmail.com>
Diff between CJAMP versions 0.1.0 dated 2018-04-24 and 0.1.1 dated 2019-03-20
DESCRIPTION | 10 +++---- MD5 | 54 ++++++++++++++++++++--------------------- R/cjamp.R | 17 ++++++------ R/compute_MAF.R | 1 R/explained_variance.R | 1 R/generate_copula.R | 1 R/generate_genodata.R | 1 R/generate_phenodata.R | 19 +++++++++----- R/get_estimates_naive.R | 1 R/loglik_functions.R | 1 R/lrt.R | 2 + R/summary_function.R | 5 ++- build/vignette.rds |binary inst/CITATION | 4 +-- inst/doc/cjamp.R | 32 +++++++++++++++--------- inst/doc/cjamp.Rmd | 48 +++++++++++++++++++++--------------- inst/doc/cjamp.pdf |binary man/cjamp.Rd | 29 +++++++++++----------- man/compute_MAF.Rd | 1 man/compute_expl_var.Rd | 1 man/generate_clayton_copula.Rd | 1 man/generate_genodata.Rd | 1 man/generate_phenodata.Rd | 15 +++++------ man/get_estimates_naive.Rd | 1 man/lrt.Rd | 2 + man/minusloglik.Rd | 1 man/summary.cjamp.Rd | 5 ++- vignettes/cjamp.Rmd | 48 +++++++++++++++++++++--------------- 28 files changed, 175 insertions(+), 127 deletions(-)
Title: Reinforcement Learning
Description: Implements reinforcement learning environments and algorithms as described in Sutton & Barto (1998, ISBN:0262193981).
The Q-Learning algorithm can be used with function approximation,
eligibility traces (Singh & Sutton (1996) <doi:10.1007/BF00114726>)
and experience replay (Mnih et al. (2013) <arXiv:1312.5602>).
Author: Markus Dumke [aut, cre]
Maintainer: Markus Dumke <markusdumke@gmail.com>
Diff between reinforcelearn versions 0.1.0 dated 2018-01-03 and 0.2.0 dated 2019-03-20
DESCRIPTION | 12 +- MD5 | 18 +-- NEWS.md | 9 + build/vignette.rds |binary inst/doc/agents.html | 163 ++++++++++++++++++++++--------- inst/doc/environments.html | 87 +++++++++++++++- man/MountainCar.Rd | 1 man/makeAgent.Rd | 6 - tests/testthat/test_accessor_functions.R | 6 - vignettes/references.bib | 34 +++--- 10 files changed, 242 insertions(+), 94 deletions(-)
More information about reinforcelearn at CRAN
Permanent link
Title: Monetary Unit Sampling and Estimation Methods, Widely Used in
Auditing
Description: Sampling and evaluation methods to apply Monetary Unit Sampling (or in older literature Dollar Unit Sampling) during an audit of financial statements.
Author: Henning Prömpers, André Guimarães
Maintainer: Henning Prömpers <henning@proempers.net>
Diff between MUS versions 0.1.5 dated 2017-11-29 and 0.1.6 dated 2019-03-20
MUS-0.1.5/MUS/man/examples |only MUS-0.1.6/MUS/DESCRIPTION | 12 MUS-0.1.6/MUS/MD5 | 62 - MUS-0.1.6/MUS/NAMESPACE | 10 MUS-0.1.6/MUS/R/MUS.bounds.R | 252 +++--- MUS-0.1.6/MUS/R/MUS.combine.R | 262 +++--- MUS-0.1.6/MUS/R/MUS.evaluation.R | 498 ++++++------ MUS-0.1.6/MUS/R/MUS.extend.R | 148 ++- MUS-0.1.6/MUS/R/MUS.extraction.R | 116 +- MUS-0.1.6/MUS/R/MUS.planning.R | 256 +++--- MUS-0.1.6/MUS/R/print.MUS.evaluation.result.R | 538 ++++++------- MUS-0.1.6/MUS/R/print.MUS.extraction.result.R | 92 +- MUS-0.1.6/MUS/R/print.MUS.planning.result.R | 66 - MUS-0.1.6/MUS/README.md |only MUS-0.1.6/MUS/build/partial.rdb |binary MUS-0.1.6/MUS/man/MUS-package.Rd | 118 +- MUS-0.1.6/MUS/man/MUS.binomial.bound.Rd | 88 +- MUS-0.1.6/MUS/man/MUS.calc.n.conservative.Rd | 56 - MUS-0.1.6/MUS/man/MUS.combine.Rd | 70 - MUS-0.1.6/MUS/man/MUS.combined.high.error.rate.Rd | 112 +- MUS-0.1.6/MUS/man/MUS.evaluation.Rd | 204 ++--- MUS-0.1.6/MUS/man/MUS.extend.Rd | 92 +- MUS-0.1.6/MUS/man/MUS.extraction.Rd | 150 +-- MUS-0.1.6/MUS/man/MUS.factor.Rd | 52 - MUS-0.1.6/MUS/man/MUS.moment.bound.Rd | 92 +- MUS-0.1.6/MUS/man/MUS.multinomial.bound.Rd | 84 +- MUS-0.1.6/MUS/man/MUS.planning.Rd | 152 +-- MUS-0.1.6/MUS/man/print.MUS.evaluation.result.Rd | 66 - MUS-0.1.6/MUS/man/print.MUS.extraction.result.Rd | 56 - MUS-0.1.6/MUS/man/print.MUS.planning.result.Rd | 54 - MUS-0.1.6/MUS/po/R-MUS.pot | 876 +++++++++++----------- 31 files changed, 2337 insertions(+), 2297 deletions(-)
Title: Most Probable Number and Other Microbial Enumeration Techniques
Description: Calculates the Most Probable Number (MPN) to quantify the
concentration (density) of microbes in serial dilutions of a laboratory
sample (described in Jarvis, 2010 <doi:10.1111/j.1365-2672.2010.04792.x>).
Also calculates the Aerobic Plate Count (APC) for similar microbial
enumeration experiments.
Author: Martine Ferguson [aut] (original R code),
John Ihrie [cre, aut]
Maintainer: John Ihrie <John.Ihrie@fda.hhs.gov>
Diff between MPN versions 0.2.0 dated 2019-02-26 and 0.3.0 dated 2019-03-20
MPN-0.2.0/MPN/R/helpers.R |only MPN-0.2.0/MPN/inst/doc/MPN-vignette.R |only MPN-0.2.0/MPN/inst/doc/MPN-vignette.Rmd |only MPN-0.2.0/MPN/inst/doc/MPN-vignette.html |only MPN-0.2.0/MPN/vignettes/MPN-vignette.Rmd |only MPN-0.3.0/MPN/DESCRIPTION | 16 ++-- MPN-0.3.0/MPN/MD5 | 37 +++++++---- MPN-0.3.0/MPN/NAMESPACE | 3 MPN-0.3.0/MPN/NEWS.md | 9 ++ MPN-0.3.0/MPN/R/MPN.R | 42 +++++++++--- MPN-0.3.0/MPN/R/checkInputs.R | 34 ++++++++++ MPN-0.3.0/MPN/R/f_apc.R |only MPN-0.3.0/MPN/R/f_mpn.R | 54 +++++++++------- MPN-0.3.0/MPN/R/helpers_APC.R |only MPN-0.3.0/MPN/R/helpers_MPN.R |only MPN-0.3.0/MPN/build/vignette.rds |binary MPN-0.3.0/MPN/inst/doc/a_mpn-vignette.R |only MPN-0.3.0/MPN/inst/doc/a_mpn-vignette.Rmd |only MPN-0.3.0/MPN/inst/doc/a_mpn-vignette.html |only MPN-0.3.0/MPN/inst/doc/b_apc-vignette.R |only MPN-0.3.0/MPN/inst/doc/b_apc-vignette.Rmd |only MPN-0.3.0/MPN/inst/doc/b_apc-vignette.html |only MPN-0.3.0/MPN/man/apc.Rd |only MPN-0.3.0/MPN/man/mpn.Rd | 35 ++++++---- MPN-0.3.0/MPN/tests/testthat/test_apc.R |only MPN-0.3.0/MPN/tests/testthat/test_apc_inputs.R |only MPN-0.3.0/MPN/tests/testthat/test_mpn.R | 81 +++++++++++++++++++++++++ MPN-0.3.0/MPN/vignettes/a_mpn-vignette.Rmd |only MPN-0.3.0/MPN/vignettes/b_apc-vignette.Rmd |only 29 files changed, 243 insertions(+), 68 deletions(-)
Title: Syntax Highlighting for R Source Code
Description: Provides syntax highlighting for R source code. Currently it
supports LaTeX and HTML output. Source code of other languages is supported
via Andre Simon's highlight package (<http://www.andre-simon.de>).
Author: Christopher Gandrud [ctb],
Qiang Li [ctb],
Yixuan Qiu [aut],
Yihui Xie [aut, cre]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between highr versions 0.7 dated 2018-06-09 and 0.8 dated 2019-03-20
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS | 6 ++++++ R/utils.R | 14 ++------------ README.md | 1 + build/vignette.rds |binary 6 files changed, 18 insertions(+), 21 deletions(-)
More information about dplyr.teradata at CRAN
Permanent link
Title: Sampling from Order Statistics of New Families of Distributions
Description: Set of tools to generate samples of order statistics from new families of distributions.
The main references for this package are: Gentle, J. (2009), Computational Statistics, Springer-Verlag
and Naradajah, S. and Rocha, R. (2016),<DOI:10.18637/jss.v069.i10>.
The families of distributions are: Marshall Olkin G distributions, exponentiated G distributions, beta G distributions, gamma G distributions, Kumaraswamy G distributions, generalized beta G distributions,
beta extended G distributions, gamma G distributions, gamma uniform G distributions, beta exponential G distributions, Weibull G distributions, log gamma G I distributions, log gamma G II distributions,
exponentiated generalized G distributions, exponentiated Kumaraswamy G distributions, geometric exponential Poisson G distributions, truncated-exponential skew-symmetric G distributions, modified beta G distributions,
and exponentiated exponential Poisson G distributions.
Author: Carlos Alberto Cardozo Delgado
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>
Diff between orders versions 0.1.1 dated 2019-02-25 and 0.1.2 dated 2019-03-20
DESCRIPTION | 6 +++--- MD5 | 42 ++++++++++++++++++++++++------------------ NAMESPACE | 9 +++++++++ R/order_beg.R | 18 +++++++++--------- R/order_betaexpg.R | 22 +++++++++++++--------- R/order_betag.R | 18 +++++++++--------- R/order_eepg.R | 22 +++++++++++++--------- R/order_eg.R | 22 +++++++++++++--------- R/order_expg.R | 20 ++++++++++---------- R/order_expkumg.R | 24 ++++++++++++++---------- R/order_gammag.R | 20 ++++++++++---------- R/order_mog.R |only R/order_tessg.R |only R/order_weibullg.R |only man/order_beg.Rd | 18 +++++++++--------- man/order_betaexpg.Rd | 22 +++++++++++++--------- man/order_betag.Rd | 18 +++++++++--------- man/order_eepg.Rd | 22 +++++++++++++--------- man/order_eg.Rd | 22 +++++++++++++--------- man/order_expg.Rd | 20 ++++++++++---------- man/order_expkumg.Rd | 24 ++++++++++++++---------- man/order_gammag.Rd | 20 ++++++++++---------- man/order_mog.Rd |only man/order_tessg.Rd |only man/order_weibullg.Rd |only 25 files changed, 218 insertions(+), 171 deletions(-)
Title: Distributions for Generalized Additive Models for Location Scale
and Shape
Description: A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The distributions can be continuous, discrete or mixed distributions. Extra distributions can be created, by transforming, any continuous distribution defined on the real line, to a distribution defined on ranges 0 to infinity or 0 to 1, by using a ''log'' or a ''logit' transformation respectively.
Author: Mikis Stasinopoulos [aut, cre, cph],
Robert Rigby [aut],
Calliope Akantziliotou [ctb],
Vlasios Voudouris [ctb],
Gillian Heller [ctb],
Fernanda De Bastiani [ctb],
Raydonal Ospina [ctb],
Nicoletta Motpan [ctb],
Fiona McElduff [ctb],
Majid Djennad [ctb],
Marco Enea [ctb],
Alexios Ghalanos [ctb],
Christos Argyropoulos [ctb],
Almond Stocker [ctb],
Jens Lichter [ctb],
Stanislaus Stadlmann [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
Diff between gamlss.dist versions 5.1-1 dated 2018-12-07 and 5.1-3 dated 2019-03-20
DESCRIPTION | 10 MD5 | 28 + NAMESPACE | 14 R/Functions_for_SK_in_gamlss.R |only R/PARETO.R |only R/PARETO1.R |only R/PARETO2.R | 2 R/PARETO2o.R | 2 R/ZAIG.R | 35 +- R/logNO2.R | 2 R/plottingDist.R | 595 +++++++++++++++++++++-------------------- build/partial.rdb |binary inst/doc/CentileSkewKurt.RData |only inst/doc/MomentSkewKurt1.RData |only man/PARETO2.Rd | 43 ++ man/ZAIG.Rd | 6 man/count_1_31.Rd | 75 ++--- man/momentSK.Rd |only 18 files changed, 456 insertions(+), 356 deletions(-)
Title: Generating Synthetic Versions of Sensitive Microdata for
Statistical Disclosure Control
Description: A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data. For a description of the implemented method see Nowok, Raab and Dibben (2016) <doi:10.18637/jss.v074.i11>.
Author: Beata Nowok, Gillian M Raab, Joshua Snoke and Chris Dibben
Maintainer: Beata Nowok <beata.nowok@gmail.com>
Diff between synthpop versions 1.5-0 dated 2018-08-16 and 1.5-1 dated 2019-03-20
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS | 8 ++++++++ build/partial.rdb |binary inst/doc/inference.pdf |binary inst/doc/synthpop.pdf |binary man/syn.satcat.Rd | 3 ++- man/synthpop-package.Rd | 4 ++-- 8 files changed, 23 insertions(+), 14 deletions(-)
Title: Analytical Tools for Radiation Oncology
Description: Designed for the import, analysis, and visualization of dosimetric and volumetric data in Radiation Oncology, the tools herein enable import of dose-volume histogram information from multiple treatment planning system platforms and 3D structural representations and dosimetric information from 'DICOM-RT' files. These tools also enable subsequent visualization and statistical analysis of these data.
Author: Reid F. Thompson <reid.thompson@gmail.com>
Maintainer: Reid F. Thompson <reid.thompson@gmail.com>
Diff between RadOnc versions 1.1.4 dated 2017-11-07 and 1.1.5 dated 2019-03-20
RadOnc-1.1.4/RadOnc/inst/doc/RadOnc.R |only RadOnc-1.1.4/RadOnc/inst/doc/RadOnc.Rnw |only RadOnc-1.1.5/RadOnc/DESCRIPTION | 8 +- RadOnc-1.1.5/RadOnc/MD5 | 31 +++++----- RadOnc-1.1.5/RadOnc/R/DVH.R | 4 - RadOnc-1.1.5/RadOnc/R/DVH.list.R | 4 - RadOnc-1.1.5/RadOnc/R/compareStructures.R | 9 ++- RadOnc-1.1.5/RadOnc/R/read.DICOM.RT.R | 78 +++++++++++++++++++-------- RadOnc-1.1.5/RadOnc/R/read.DVH.R | 9 +-- RadOnc-1.1.5/RadOnc/R/structure.list.R | 2 RadOnc-1.1.5/RadOnc/build |only RadOnc-1.1.5/RadOnc/inst/NEWS.Rd | 31 ++++++++++ RadOnc-1.1.5/RadOnc/inst/doc/RadOnc.pdf |binary RadOnc-1.1.5/RadOnc/man/RadOnc-package.Rd | 27 +++++---- RadOnc-1.1.5/RadOnc/man/compareStructures.Rd | 3 - RadOnc-1.1.5/RadOnc/man/read.DICOM.RT.Rd | 4 - RadOnc-1.1.5/RadOnc/man/read.DVH.Rd | 5 + RadOnc-1.1.5/RadOnc/vignettes/RadOnc.Rnw | 2 18 files changed, 150 insertions(+), 67 deletions(-)
Title: Finding Optimal Microsampling Designs for Non-Compartmental
Pharmacokinetic Analysis
Description: Find optimal microsampling designs for non-compartmental pharacokinetic analysis using a general simulation methodology:
Algorithm III of Barnett, Helen, Helena Geys, Tom Jacobs, and Thomas Jaki. (2017) "Optimal Designs for Non-Compartmental
Analysis of Pharmacokinetic Studies. (currently unpublished)"
This methodology consist of (1) specifying a pharmacokinetic model
including variability among animals; (2) generating possible sampling times; (3)
evaluating performance of each time point choice on simulated data; (4)
generating possible schemes given a time point choice and additional constraints
and finally (5) evaluating scheme performance on simulated data. The default
settings differ from the article of Barnett and others, in the default pharmacokinetic model used and
the parameterization of variability among animals. Details can be found in the package vignette. A 'shiny'
web application is included, which guides users from model parametrization to
optimal microsampling scheme.
Author: Adriaan Blommaert [aut, cre],
Daan Seynaeve [ctb],
Helen Barnett [ctb],
Helena Geys [ctb],
Tom Jacobs [ctb],
Fetene Tekle [ctb],
Thomas Jaki [ctb]
Maintainer: Adriaan Blommaert <adriaan.blommaert@openanalytics.eu>
Diff between microsamplingDesign versions 1.0.5 dated 2018-08-22 and 1.0.6 dated 2019-03-20
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More information about microsamplingDesign at CRAN
Permanent link
Title: Grouped Statistical Analyses in a Tidy Way
Description: Collection of functions to run statistical tests
across all levels of multiple grouping variables.
Author: Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between groupedstats versions 0.0.5 dated 2019-01-21 and 0.0.6 dated 2019-03-20
DESCRIPTION | 36 ++-- MD5 | 43 +++-- NAMESPACE | 12 + NEWS.md | 9 + R/grouped_aov.R | 5 R/grouped_glm.R | 183 ++++++------------------- R/grouped_glmer.R | 9 - R/grouped_lm.R | 155 ++++++--------------- R/grouped_lmer.R | 7 R/grouped_robustslr.R | 9 - R/grouped_slr.R | 21 +- R/grouped_summary.R | 32 ++-- R/grouped_ttest.R | 11 - R/grouped_wilcox.R | 5 R/lm_effsize_ci.R | 69 ++++----- R/reexports.R |only R/signif_column.R | 35 +--- R/specify_decimal_p.R | 2 README.md | 217 +++++++++++++++--------------- man/figures/README-grouped_summary3-1.png |binary man/grouped_glm.Rd | 39 +---- man/grouped_lm.Rd | 21 +- man/reexports.Rd |only tests/testthat/test_lm_effsize_ci.R |only 24 files changed, 380 insertions(+), 540 deletions(-)
Title: Estimate Wind Speeds from Bird Trajectories
Description: Estimating wind speed from trajectories of individually tracked birds using a maximum likelihood approach.
Author: Bart Kranstauber [aut, cre],
Rolf Weinzierl [aut]
Maintainer: Bart Kranstauber <bart.kranstauber@ieu.uzh.ch>
Diff between moveWindSpeed versions 0.2.2 dated 2019-01-07 and 0.2.3 dated 2019-03-20
DESCRIPTION | 6 ++-- MD5 | 14 +++++------ NEWS.md | 6 ++++ inst/doc/estimatingWindSpeed.html | 36 +++++++++++++++++++++++------ inst/doc/windEstimationParameters.R | 2 - inst/doc/windEstimationParameters.Rmd | 10 ++++---- inst/doc/windEstimationParameters.html | 40 +++++++++++++++++++++++++-------- vignettes/windEstimationParameters.Rmd | 10 ++++---- 8 files changed, 86 insertions(+), 38 deletions(-)
Title: Movement Data Visualization
Description: Tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <movevis@schwalb-willmann.de>
Diff between moveVis versions 0.9.9 dated 2018-12-03 and 0.10.0 dated 2019-03-20
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Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-07-17 1.7-6
2018-06-03 1.7-5
2015-11-21 1.7-4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-01-21 2.3.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-05-13 1.0.0
Title: Analysis, Seriation and Visualization of Archaeological Count
Data
Description: An easy way to examine archaeological count data (artifacts, faunal
remains, etc.). This package includes several measures of diversity: e.g.
richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), diversity/dominance
and evenness (Brillouin, Shannon, Simpson, etc.), turnover and similarity
(Brainerd-Robinson, ...). Most of these methods are described and discussed
in Maguran (1988) <doi:10.1007/978-94-015-7358-0>. It also provides matrix
seriation methods (reciprocal ranking, CA-based seriation) for
chronological modeling and dating. The package make it easy to visualize
count data and statistical thresholds: rank/abundance plots, Ford (1972)
<isbn:0913134082> and Bertin (1977) <isbn:2082111121> diagrams, etc.
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>),
Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>),
Matthew Peeples [ctb] (<https://orcid.org/0000-0003-4496-623X>)
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Diff between tabula versions 1.0.0 dated 2018-12-03 and 1.2.0 dated 2019-03-20
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Title: Image Registration Using the 'NiftyReg' Library
Description: Provides an 'R' interface to the 'NiftyReg' image registration tools
<http://sourceforge.net/projects/niftyreg/>. Linear and nonlinear registration
are supported, in two and three dimensions.
Author: Jon Clayden [cre, aut],
Marc Modat [aut],
Benoit Presles [aut],
Thanasis Anthopoulos [aut],
Pankaj Daga [aut]
Maintainer: Jon Clayden <code@clayden.org>
Diff between RNiftyReg versions 2.6.5 dated 2019-01-31 and 2.6.6 dated 2019-03-20
DESCRIPTION | 8 ++++---- MD5 | 7 ++++--- NEWS | 7 +++++++ configure.ac | 2 +- tools/m4 |only 5 files changed, 16 insertions(+), 8 deletions(-)
Title: Artificial Neural Networks for Anomaly Detection
Description: Training of neural networks for classification and regression tasks
using mini-batch gradient descent. Special features include a function for
training autoencoders, which can be used to detect anomalies, and some
related plotting functions. Multiple activation functions are supported,
including tanh, relu, step and ramp. For the use of the step and ramp
activation functions in detecting anomalies using autoencoders, see
Hawkins et al. (2002) <doi:10.1007/3-540-46145-0_17>. Furthermore,
several loss functions are supported, including robust ones such as Huber
and pseudo-Huber loss, as well as L1 and L2 regularization. The possible
options for optimization algorithms are RMSprop, Adam and SGD with momentum.
The package contains a vectorized C++ implementation that facilitates
fast training through mini-batch learning.
Author: Bart Lammers
Maintainer: Bart Lammers <bart.f.lammers@gmail.com>
Diff between ANN2 versions 2.2 dated 2019-03-19 and 2.3 dated 2019-03-20
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- README.md | 1 + src/test-cpp-activations.cpp | 4 ++-- src/test-cpp-loss.cpp | 4 ++-- src/test-cpp-optimizers.cpp | 12 +++++++++--- tests/testthat/test-gradient.R | 15 ++++++++++++--- tests/testthat/test-serialization.R | 1 + 8 files changed, 38 insertions(+), 21 deletions(-)
Title: Transform Counts in RNA-Seq Data Analysis
Description: Provide data transformation functions to transform counts in RNA-seq data analysis. Please see the reference: Zhang Z, Yu D, Seo M, Hersh CP, Weiss ST, Qiu W. (2019) <doi.org/10.1038/s41598-019-41315-w>.
Author: Zeyu Zhang [aut, cre],
Danyang Yu [aut, ctb],
Minseok Seo [aut, ctb],
Craig P. Hersh [aut, ctb],
Scott T. Weiss [aut, ctb],
Weiliang Qiu [aut, ctb]
Maintainer: Zeyu Zhang <zhzyvv@gmail.com>
Diff between countTransformers versions 0.0.5 dated 2019-02-22 and 0.0.6 dated 2019-03-20
DESCRIPTION | 10 +++++----- MD5 | 24 ++++++++++++------------ NEWS | 3 +++ man/getJaccard.Rd | 6 +++--- man/l2Transformer.Rd | 6 +++--- man/lTransformer.Rd | 6 +++--- man/lv2Transformer.Rd | 6 +++--- man/lvTransformer.Rd | 6 +++--- man/r2Transformer.Rd | 6 +++--- man/rTransformer.Rd | 6 +++--- man/rv2Transformer.Rd | 6 +++--- man/rvTransformer.Rd | 6 +++--- man/wilcoxWrapper.Rd | 6 +++--- 13 files changed, 50 insertions(+), 47 deletions(-)
More information about countTransformers at CRAN
Permanent link
Title: Joint Modeling of Longitudinal and Time-to-Event Data under a
Bayesian Approach
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Diff between JMbayes versions 0.8-71 dated 2018-04-17 and 0.8-82 dated 2019-03-20
JMbayes-0.8-71/JMbayes/inst/doc |only JMbayes-0.8-82/JMbayes/DESCRIPTION | 10 JMbayes-0.8-82/JMbayes/MD5 | 62 +- JMbayes-0.8-82/JMbayes/R/JAGSmodel.R | 4 JMbayes-0.8-82/JMbayes/R/MCMCfit.R | 11 JMbayes-0.8-82/JMbayes/R/RcppExports.R | 12 JMbayes-0.8-82/JMbayes/R/STANmodels.R | 79 +- JMbayes-0.8-82/JMbayes/R/aucJM.coxph.R | 17 JMbayes-0.8-82/JMbayes/R/methods_mvJointModelBayes.R | 6 JMbayes-0.8-82/JMbayes/R/mvJointModelBayes.R | 416 ++++++++++++--- JMbayes-0.8-82/JMbayes/R/mv_glmer.R | 6 JMbayes-0.8-82/JMbayes/R/prederrJM.coxph.R | 18 JMbayes-0.8-82/JMbayes/R/prederrJM.mvJMbayes.R | 7 JMbayes-0.8-82/JMbayes/R/predict_eventTime.R | 2 JMbayes-0.8-82/JMbayes/R/rocJM.mvJMbayes.R | 6 JMbayes-0.8-82/JMbayes/R/supportFuns_mvJointModelBayes.R | 13 JMbayes-0.8-82/JMbayes/R/survfitJM.mvJMbayes.R | 36 - JMbayes-0.8-82/JMbayes/inst/NEWS | 6 JMbayes-0.8-82/JMbayes/man/DerivIntSplines.Rd | 5 JMbayes-0.8-82/JMbayes/man/JMbayes.Rd | 4 JMbayes-0.8-82/JMbayes/man/aids.Rd | 9 JMbayes-0.8-82/JMbayes/man/gt.Rd | 2 JMbayes-0.8-82/JMbayes/man/mvJointModelBayes.Rd | 10 JMbayes-0.8-82/JMbayes/man/mvglmer.Rd | 4 JMbayes-0.8-82/JMbayes/man/pbc.Rd | 5 JMbayes-0.8-82/JMbayes/man/prothro.Rd | 5 JMbayes-0.8-82/JMbayes/man/tve.Rd | 5 JMbayes-0.8-82/JMbayes/src/Makevars | 2 JMbayes-0.8-82/JMbayes/src/Makevars.win | 2 JMbayes-0.8-82/JMbayes/src/RcppExports.cpp | 39 - JMbayes-0.8-82/JMbayes/src/fast_LAPRWM.cpp | 199 ++++--- JMbayes-0.8-82/JMbayes/src/survfitJM_mvJMbayes.cpp | 42 - 32 files changed, 708 insertions(+), 336 deletions(-)
Title: Generalised Additive Models for Location Scale and Shape
Description: Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.
Author: Mikis Stasinopoulos [aut, cre, cph],
Bob Rigby [aut],
Vlasios Voudouris [ctb],
Calliope Akantziliotou [ctb],
Marco Enea [ctb],
Daniil Kiose [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
Diff between gamlss versions 5.1-2 dated 2018-10-06 and 5.1-3 dated 2019-03-20
DESCRIPTION | 8 MD5 | 24 +- NAMESPACE | 2 R/FitTail.R | 515 ++++++++++++++++++++++++-------------------------- R/pbm.R | 26 +- R/ri.R | 77 ++++--- build/partial.rdb |binary inst/doc/NEWS.txt | 21 ++ man/DevianceIncr.Rd | 8 man/dtop.Rd | 3 man/gamlss-package.Rd | 3 man/loglogSurv.Rd | 89 +++++--- man/ri.Rd | 20 + 13 files changed, 430 insertions(+), 366 deletions(-)
Title: GAMLSS Data
Description: Data used as examples to demonstrate GAMLSS models.
Author: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby, Fernanda De Bastiani
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
Diff between gamlss.data versions 5.1-0 dated 2018-10-06 and 5.1-3 dated 2019-03-20
DESCRIPTION | 8 +-- MD5 | 104 +++++++++++++++++++++++++++--------------------- data/CD4.rda |binary data/LGAclaims.rda |binary data/Leukemia.RData |binary data/Mums.rda |binary data/VictimsOfCrime.rda |binary data/acidity.rda |binary data/aep.rda |binary data/aids.rda |binary data/aircond.rda |binary data/alveolar.rda |binary data/brownfat.RData |only data/bush2000.RData |only data/cable.RData |only data/computer.rda |binary data/cysts.RData |only data/datalist | 8 +++ data/db.rda |binary data/dbbmi.rda |binary data/dbhh.RData |binary data/eu15.RData |binary data/fabric.rda |binary data/film30.rda |binary data/film90.RData |binary data/glass.rda |binary data/glasses.RData |binary data/grip.RData |binary data/hodges.rda |binary data/hodges1.rda |binary data/lice.rda |binary data/lungFunction.RData |only data/margolin.rda |binary data/meta.rda |binary data/mvi.rda |binary data/mviBig.rda |binary data/oil.RData |binary data/parzen.rda |binary data/plasma.RData |only data/polio.rda |binary data/rent.rda |binary data/rent99.polys.rda |binary data/rent99.rda |binary data/respInf.rda |binary data/sleep.RData |only data/species.rda |binary data/stylo.rda |binary data/tensile.rda |binary data/tidal.RData |only data/trd.RData |binary data/tse.rda |binary data/usair.rda |binary data/vas5.rda |binary man/brownfat.Rd |only man/bush2000.Rd |only man/cable.Rd |only man/cysts.Rd |only man/lungFunction.Rd |only man/plasma.Rd |only man/sleep.Rd |only man/tidal.Rd |only 61 files changed, 72 insertions(+), 48 deletions(-)
Title: Hyper Parameter Tuning for Machine Learning, Using Bayesian
Optimization
Description: Hyper parameter tuning using Bayesian
optimization (Shahriari et al. <doi:10.1109/JPROC.2015.2494218>) for support vector machine,
random forest, and extreme gradient boosting (Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>).
Unlike already existing packages (e.g. 'mlr', 'rBayesianOptimization', or 'xgboost'), there is no need to change in accordance with the package or method of machine learning.
You just prepare a data frame with feature vectors and the label column that has any class ('character', 'factor', 'integer').
Moreover, to write a optimization function, you have only to specify the data and the column name of the label to classify.
Author: Yuya Matsumura [aut, cre]
Maintainer: Yuya Matsumura <mattu.yuya@gmail.com>
Diff between MlBayesOpt versions 0.3.3 dated 2017-10-23 and 0.3.4 dated 2019-03-20
DESCRIPTION | 6 +++--- MD5 | 34 +++++++++++++++++----------------- R/rf_opt.R | 1 + R/svm_cv_opt.R | 1 + R/svm_opt.R | 1 + R/xgb_cv_opt.R | 1 + R/xgb_opt.R | 1 + README.md | 18 +++++++++++------- build/vignette.rds |binary inst/doc/MlBayesOpt.R | 2 +- inst/doc/MlBayesOpt.Rmd | 2 +- inst/doc/MlBayesOpt.html | 6 +++--- tests/testthat/test-rf_opt.R | 2 ++ tests/testthat/test-svm_cv_opt.R | 2 ++ tests/testthat/test-svm_opt.R | 2 ++ tests/testthat/test-xgb_cv_opt.R | 2 ++ tests/testthat/test-xgb_opt.R | 2 ++ vignettes/MlBayesOpt.Rmd | 2 +- 18 files changed, 52 insertions(+), 33 deletions(-)
Title: Regression Modelling using I-Priors
Description: Provides methods to perform and analyse I-prior regression models.
Estimation is done either via direct optimisation of the log-likelihood or
an EM algorithm.
Author: Haziq Jamil [aut, cre]
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>
Diff between iprior versions 0.7.2 dated 2018-10-17 and 0.7.3 dated 2019-03-20
DESCRIPTION | 8 MD5 | 16 build/vignette.rds |binary inst/doc/iprior_paper.pdf |binary inst/doc/kernel_matrix.html | 712 ++++++++++++++++++---------- inst/doc/tecator.html | 344 ++++++++++--- tests/testthat/test-04-iprior.R | 2 tests/testthat/test-05-iprior_cv.R | 2 tests/testthat/test-06-fitted_and_predict.R | 3 9 files changed, 755 insertions(+), 332 deletions(-)
Title: Physical and Physiological Ecosystem Properties from Eddy
Covariance Data
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.
Author: Juergen Knauer [aut, cre],
Soenke Zaehle [ctb],
Tarek El-Madany [ctb],
Mirco Migliavacca [ctb],
Thomas Wutzler [aut]
Maintainer: Juergen Knauer <Juergen.Knauer@csiro.au>
Diff between bigleaf versions 0.6.5 dated 2018-07-04 and 0.7.0 dated 2019-03-20
DESCRIPTION | 29 MD5 | 78 NAMESPACE | 5 NEWS | 10 R/WUE_metrics.r | 2 R/bigleaf_constants.r | 42 R/datasets_description.r | 6 R/potential_radiation.r |only R/unit_conversions.r | 193 +- build/vignette.rds |binary inst/CITATION |only inst/doc/bigleaf_tutorial.Rmd | 32 inst/doc/bigleaf_tutorial.pdf | 3494 ++++++++++++++++++++------------------ man/AT_Neu_Jul_2010.Rd | 2 man/DE_Tha_Jun_2014.Rd | 2 man/Esat.slope.Rd | 4 man/FR_Pue_May_2012.Rd | 2 man/Gb.Choudhury.Rd | 4 man/Gb.Su.Rd | 7 man/Gb.Thom.Rd | 3 man/LE.to.ET.Rd | 1 man/Reynolds.Number.Rd | 3 man/Rg.to.PPFD.Rd | 6 man/VPD.to.rH.Rd | 11 man/aerodynamic.conductance.Rd | 9 man/bigleaf.constants.Rd | 33 man/decoupling.Rd | 4 man/dew.point.solver.Rd | 3 man/extraterrestrial.radiation.Rd |only man/filter.data.Rd | 7 man/isothermal.Rn.Rd | 4 man/kg.to.mol.Rd |only man/ms.to.mol.Rd | 3 man/photosynthetic.capacity.Rd | 11 man/potential.radiation.Rd |only man/reference.ET.Rd | 10 man/roughness.parameters.Rd | 10 man/stomatal.slope.Rd | 10 man/surface.conditions.Rd | 10 man/surface.conductance.Rd | 6 tests |only vignettes/bigleaf_tutorial.Rmd | 32 42 files changed, 2191 insertions(+), 1897 deletions(-)
Title: Structural Bayesian Vector Autoregression Models
Description: Provides a function for running Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.
Author: Paul Richardson
Maintainer: Paul Richardson <p.richardson.54391@gmail.com>
Diff between BHSBVAR versions 1.0.1 dated 2019-01-23 and 1.0.2 dated 2019-03-20
DESCRIPTION | 8 MD5 | 36 +- R/BHSBVAR.R | 233 ++++++++----- R/RcppExports.R | 26 - R/USLMData.R | 3 build/vignette.rds |binary inst/doc/BHSBVAR.R | 19 - inst/doc/BHSBVAR.Rnw | 170 +++++---- inst/doc/BHSBVAR.pdf |binary man/BH_SBVAR.Rd | 5 man/USLMData.Rd | 4 src/BHSBVAR-init.c | 16 src/BHSBVAR.cpp | 721 ++++++++++++++++++----------------------- src/RcppExports.cpp | 147 ++++---- vignettes/BHSBVAR.Rnw | 170 +++++---- vignettes/fig/Dist_plots-1.pdf |binary vignettes/fig/HD_plots-1.pdf |binary vignettes/fig/IRF_plots-1.pdf |binary vignettes/fig/Model-1.pdf |binary 19 files changed, 828 insertions(+), 730 deletions(-)
Title: Spatial Influence of Landscape
Description: Method to estimate the spatial influence scales of landscape variables on a response variable. The method is based on Chandler and Hepinstall-Cymerman (2016) Estimating the spatial scales of landscape effects on abundance, Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.
Author: Carpentier F. and Martin O.
Maintainer: Martin Olivier <olivier.martin@inra.fr>
Diff between siland versions 1.0 dated 2017-11-20 and 1.2 dated 2019-03-20
DESCRIPTION | 11 +++++---- MD5 | 53 ++++++++++++++++++++++++++++++++------------ NAMESPACE | 27 ++++++++++++++++++---- R/AIC.siland.R |only R/BIC.siland.R |only R/data.gis.R |only R/fitted.siland.R |only R/land.gis.R |only R/miscsiland.R | 57 ++++++++++++++++++++++++++++++++---------------- R/plotsif.R |only R/plotsiland.R |only R/plotsiland.land.R |only R/plotsiland.sif.R |only R/residuals.siland.R |only R/siland.R | 14 +++++++++-- R/siland.quantile.R |only build/partial.rdb |binary data/dataCmoth.RData |only data/dataSiland.RData |binary data/landCmoth.RData |only data/landSiland.RData |binary man/AIC.siland.Rd |only man/BIC.siland.Rd |only man/data.gis.Rd |only man/dataCmoth.Rd |only man/dataSiland.Rd | 24 +++++++++++--------- man/fitted.siland.Rd |only man/land.gis.Rd |only man/landCmoth.Rd |only man/landSiland.Rd | 14 +++++------ man/plotcontri.Rd | 7 +++-- man/plotsif.Rd |only man/plotsiland.Rd | 10 ++++++-- man/plotsiland.land.Rd |only man/plotsiland.sif.Rd |only man/print.siland.Rd | 4 +-- man/residuals.siland.Rd |only man/siland-package.Rd | 4 +-- man/siland.Rd | 5 ++-- man/siland.quantile.Rd |only 40 files changed, 157 insertions(+), 73 deletions(-)
Title: Advanced 'tryCatch()' and 'try()' Functions
Description: Advanced tryCatch() and try() functions for better error handling
(logging, stack trace with source code references and support for post-mortem analysis via dump files).
Author: Jürgen Altfeld [aut, cre, cph],
Charles Epaillard [ctb]
Maintainer: Jürgen Altfeld <jaltfeld@altfeld-im.de>
Diff between tryCatchLog versions 1.0.2 dated 2018-05-18 and 1.1.2 dated 2019-03-20
DESCRIPTION | 22 +- MD5 | 98 ++++++----- NAMESPACE | 6 NEWS.md |only R/get_pretty_tryCatchLog_options.R |only R/is_package_available.R |only R/last_tryCatchLog_result.R | 2 R/limited_Labels_Compact.R | 4 R/log2console.R |only R/platform_newline.R | 20 ++ R/set_logging_functions.R |only R/tryCatchLog.R | 74 ++++++-- R/tryLog.R | 8 R/zzz.R | 32 ++- demo/tryCatchLog_demo.R | 34 +-- inst/doc/05_overview.Rmd_child |only inst/doc/20_tryCatchLog.Rmd_child | 24 ++ inst/doc/90_appendix.Rmd_child | 3 inst/doc/tryCatchLog-intro.Rmd | 21 -- inst/doc/tryCatchLog-intro.html | 46 ++++- man/get.pretty.option.value.Rd |only man/get.pretty.tryCatchLog.options.Rd |only man/is.package.available.Rd |only man/last.tryCatchLog.result.Rd | 2 man/limitedLabelsCompact.Rd | 6 man/log2console.Rd |only man/set.logging.functions.Rd |only man/tryCatchLog.Rd | 49 +++-- man/tryLog.Rd | 13 + tests/testthat.R | 1 tests/testthat/build_log_output_test_data_2.txt | 91 ---------- tests/testthat/disable_logging_output.R |only tests/testthat/expected_full_stack_trace.txt |only tests/testthat/init_unit_test.R |only tests/testthat/test_append_to_last_tryCatchLog_result.R |only tests/testthat/test_build_log_entry.R | 140 ++-------------- tests/testthat/test_build_log_output.R | 20 +- tests/testthat/test_dump_files.R | 65 ++++++- tests/testthat/test_get_pretty_tryCatchLog_options.R |only tests/testthat/test_is_duplicated_log_entry.R |only tests/testthat/test_is_package_available.R |only tests/testthat/test_is_windows.R |only tests/testthat/test_issue_0017_value_3L_unused_arg.R | 13 - tests/testthat/test_last_tryCatchLog_result.R | 13 - tests/testthat/test_limited_Labels_Compact.R |only tests/testthat/test_load_package.R | 13 + tests/testthat/test_log2console.R |only tests/testthat/test_namespace_hooks.R | 34 +++ tests/testthat/test_platform_functions.R | 7 tests/testthat/test_silent_messages.R | 14 - tests/testthat/test_silent_stacked_warnings.R | 16 - tests/testthat/test_silent_warnings.R | 16 + tests/testthat/test_stacked_tryCatchLog.R | 15 - tests/testthat/test_tryCatchLog_basics.R | 18 -- tests/testthat/test_tryCatch_semantics.R | 17 - tests/testthat/test_tryLog_basics.R | 17 - vignettes/05_overview.Rmd_child |only vignettes/20_tryCatchLog.Rmd_child | 24 ++ vignettes/90_appendix.Rmd_child | 3 vignettes/README_FIRST.txt | 20 +- vignettes/tryCatchLog-intro.Rmd | 21 -- 61 files changed, 547 insertions(+), 495 deletions(-)
Title: Simulation Extrapolation Inverse Probability Weighted
Generalized Estimating Equations
Description: Simulation extrapolation and inverse probability weighted generalized estimating equations method for longitudinal data with missing observations and measurement error in covariates. References: Yi, G. Y. (2008) <doi:10.1093/biostatistics/kxm054>; Cook, J. R. and Stefanski, L. A. (1994) <doi:10.1080/01621459.1994.10476871>; Little, R. J. A. and Rubin, D. B. (2002, ISBN:978-0-471-18386-0).
Author: Juan Xiong <jxiong@szu.edu.cn>, Grace Y. Yi <yyi@uwaterloo.ca>
Maintainer: Juan Xiong <jxiong@szu.edu.cn>
Diff between swgee versions 1.3 dated 2018-07-26 and 1.4 dated 2019-03-20
DESCRIPTION | 8 +- MD5 | 10 +-- R/swgee.R | 163 +++++++++++++++++++++++++++--------------------------- build/partial.rdb |binary data/BMI.rda |binary man/swgee.Rd | 2 6 files changed, 92 insertions(+), 91 deletions(-)
Title: Domain-Specific Language for Building PLS Structural Equation
Models
Description: A powerful, easy to write and easy to modify syntax for
specifying and estimating Partial Least Squares (PLS) path models allowing for the latest estimation methods
for Consistent PLS as per Dijkstra & Henseler (2015, MISQ 39(2): 297-316), adjusted interactions as per
Henseler & Chin (2010) <doi:10.1080/10705510903439003> and bootstrapping utilizing
parallel processing as per Hair et al. (2017, ISBN:978-1483377445).
Author: Soumya Ray [aut, ths],
Nicholas Danks [aut, cre],
Juan Manuel Velasquez Estrada [aut]
Maintainer: Nicholas Danks <nicholasdanks@hotmail.com>
Diff between seminr versions 0.5.3 dated 2018-10-18 and 0.6.0 dated 2019-03-20
DESCRIPTION | 11 - MD5 | 56 +++---- NAMESPACE | 1 R/bootstrap.R | 124 ++++++++++++++-- R/evaluation.R | 4 R/library.R | 12 - R/model.R | 5 R/relationships.R | 2 R/reporting.R | 2 R/summary.R | 2 build/vignette.rds |binary demo/seminr-ecsi-plsc.R | 3 demo/seminr-ecsi.R | 3 demo/seminr-interaction.R | 4 inst/doc/SEMinR.R | 40 +++++ inst/doc/SEMinR.Rmd | 69 +++++++++ inst/doc/SEMinR.html | 192 +++++++++++++++++++++++--- man/bootstrap_model.Rd | 6 man/confidence_interval.Rd |only man/estimate_pls.Rd | 3 man/mode_A.Rd | 2 man/mode_B.Rd | 2 man/path_factorial.Rd | 4 man/path_weighting.Rd | 4 man/relationships.Rd | 2 man/report_paths.Rd | 2 tests/fixtures/conf_ints.csv |only tests/testthat/test-bootstrap.R | 65 +++++++- tests/testthat/test-consistent-interactions.R | 2 vignettes/SEMinR.Rmd | 69 +++++++++ 30 files changed, 576 insertions(+), 115 deletions(-)
Title: Real Time Monitoring of Asset Markets: Bubbles and Crisis
Description: Apply the popular real-time monitoring strategy
proposed by Phillips, Shi and Yu (2015a,b;PSY) <doi:10.1111/iere.12132>, <doi:10.1111/iere.12131>, along with a new
bootstrap procedure designed to mitigate the potential impact of
heteroskedasticity and to effect family-wise size control in recursive
testing algorithms (Phillips and Shi, forthcoming).
Author: Peter C.B. Phillips [aut],
Shuping Shi [aut],
Itamar Caspi [aut, cre]
Maintainer: Itamar Caspi <caspi.itamar@gmail.com>
Diff between psymonitor versions 0.0.1 dated 2018-11-16 and 0.0.2 dated 2019-03-20
DESCRIPTION | 8 - MD5 | 16 +-- NEWS.md | 10 +- R/cvPSYmc.R | 2 R/cvPSYwmboot.R | 1 README.md | 13 ++ build/vignette.rds |binary inst/doc/illustrationBONDS.html | 122 +++++++++++++++----------- inst/doc/illustrationSNP.html | 183 +++++++++++++++++++++++++++++----------- 9 files changed, 242 insertions(+), 113 deletions(-)
Title: Data Visualization Tools for Statistical Analysis Results
Description: Unified plotting tools for statistics commonly used, such as GLM,
time series, PCA families, clustering and survival analysis. The package offers
a single plotting interface for these analysis results and plots in a unified
style using 'ggplot2'.
Author: Masaaki Horikoshi [aut],
Yuan Tang [aut, cre] (<https://orcid.org/0000-0001-5243-233X>),
Austin Dickey [ctb],
Matthias Grenié [ctb],
Ryan Thompson [ctb],
Luciano Selzer [ctb],
Dario Strbenac [ctb],
Kirill Voronin [ctb]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>
Diff between ggfortify versions 0.4.5 dated 2018-05-26 and 0.4.6 dated 2019-03-20
DESCRIPTION | 10 +-- MD5 | 104 +++++++++++++++++++------------------- NEWS.md | 4 + R/fortify_stats_lm.R | 2 build/vignette.rds |binary inst/doc/basics.R | 46 ++++++++-------- inst/doc/basics.Rmd | 12 ++-- inst/doc/basics.html | 21 ------- inst/doc/plot_lm.R | 86 +++++++++++++++---------------- inst/doc/plot_lm.Rmd | 16 ++--- inst/doc/plot_lm.html | 28 ---------- inst/doc/plot_pca.html | 2 inst/doc/plot_surv.html | 2 inst/doc/plot_ts.html | 10 +-- man/autoplot.acf.Rd | 7 +- man/autoplot.breakpoints.Rd | 4 - man/autoplot.cv.glmnet.Rd | 9 +-- man/autoplot.density.Rd | 4 - man/autoplot.forecast.Rd | 10 +-- man/autoplot.glmnet.Rd | 12 ++-- man/autoplot.list.Rd | 4 - man/autoplot.lm.Rd | 3 - man/autoplot.map.Rd | 9 +-- man/autoplot.matrix.Rd | 5 + man/autoplot.spec.Rd | 3 - man/autoplot.stepfun.Rd | 4 - man/autoplot.survfit.Rd | 6 +- man/autoplot.ts.Rd | 13 ++-- man/autoplot.tsmodel.Rd | 7 +- man/autoplot.varprd.Rd | 11 ++-- man/fortify.ts.Rd | 6 +- man/ggbiplot.Rd | 25 ++++----- man/ggdistribution.Rd | 4 - man/ggfreqplot.Rd | 3 - man/ggmultiplot-class.Rd | 3 - man/ggtsdiag.Rd | 3 - tests/test-all.R | 2 tests/testthat/Rplots.pdf |binary tests/testthat/test-backcompat.R | 2 tests/testthat/test-base-infer.R | 8 ++ tests/testthat/test-base.R | 6 +- tests/testthat/test-base_ts.R | 2 tests/testthat/test-basis.R | 2 tests/testthat/test-changepoint.R | 4 + tests/testthat/test-cluster.R | 8 ++ tests/testthat/test-forecast.R | 16 +++++ tests/testthat/test-glmnet.R | 3 - tests/testthat/test-plotlib.R | 16 +++++ tests/testthat/test-stats-lm.R | 16 +++++ tests/testthat/test-stats.R | 7 +- tests/testthat/test_lint.R | 2 vignettes/basics.Rmd | 12 ++-- vignettes/plot_lm.Rmd | 16 ++--- 53 files changed, 334 insertions(+), 286 deletions(-)
Title: Greenhouse Gas Flux Calculation from Chamber Measurements
Description: Functions for greenhouse gas flux calculation from chamber
measurements.
Author: Roland Fuss [aut, cre],
Roman Hueppi [ctb],
Asger R. Pedersen [cph] (for code copied from the not-exported
HMR:::.HMR.fit1 function (version 0.3.1))
Maintainer: Roland Fuss <roland.fuss@thuenen.de>
Diff between gasfluxes versions 0.4-1 dated 2018-12-20 and 0.4-2 dated 2019-03-20
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS.md | 5 +++++ R/gasfluxes.R | 3 ++- build/vignette.rds |binary inst/doc/gasfluxes-howto.html | 7 +++++-- tests/testthat/test_gasfluxes.R | 25 +++++++++++++++++++++++++ 7 files changed, 47 insertions(+), 13 deletions(-)
Title: Embedded Conic Solver in R
Description: R interface to the Embedded COnic Solver (ECOS), an efficient
and robust C library for convex problems. Conic and equality
constraints can be specified in addition to integer and
boolean variable constraints for mixed-integer problems. This
R interface is inspired by the python interface and has
similar calling conventions.
Author: Anqi Fu [aut],
Balasubramanian Narasimhan [aut, cre],
Florian Schwendinger [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>
Diff between ECOSolveR versions 0.4 dated 2018-02-18 and 0.5 dated 2019-03-20
ECOSolveR-0.4/ECOSolveR/configure |only ECOSolveR-0.4/ECOSolveR/configure.ac |only ECOSolveR-0.4/ECOSolveR/inst/INSTALL |only ECOSolveR-0.4/ECOSolveR/inst/misc |only ECOSolveR-0.4/ECOSolveR/src/Makevars.in |only ECOSolveR-0.4/ECOSolveR/src/ecos/CONTRIBUTING.md |only ECOSolveR-0.4/ECOSolveR/src/ecos/README.md |only ECOSolveR-0.4/ECOSolveR/src/ecos/README.pdf |only ECOSolveR-0.4/ECOSolveR/src/ecos/ecos-unix.mk |only ECOSolveR-0.4/ECOSolveR/src/ecos/ecos-win.mk |only ECOSolveR-0.4/ECOSolveR/src/ecos/vstudio |only ECOSolveR-0.5/ECOSolveR/DESCRIPTION | 23 - ECOSolveR-0.5/ECOSolveR/MD5 | 182 ++++---- ECOSolveR-0.5/ECOSolveR/NAMESPACE | 1 ECOSolveR-0.5/ECOSolveR/NEWS.md |only ECOSolveR-0.5/ECOSolveR/R/ECOS_exitcodes.R |only ECOSolveR-0.5/ECOSolveR/R/ecos.R | 209 ++++++---- ECOSolveR-0.5/ECOSolveR/R/firstlib.R | 8 ECOSolveR-0.5/ECOSolveR/README.md | 69 +-- ECOSolveR-0.5/ECOSolveR/build/vignette.rds |binary ECOSolveR-0.5/ECOSolveR/cleanup | 2 ECOSolveR-0.5/ECOSolveR/data |only ECOSolveR-0.5/ECOSolveR/inst/doc/examples.Rmd | 9 ECOSolveR-0.5/ECOSolveR/inst/doc/examples.html | 72 +++ ECOSolveR-0.5/ECOSolveR/inst/testdata |only ECOSolveR-0.5/ECOSolveR/man/ECOS_csolve.Rd | 111 +++-- ECOSolveR-0.5/ECOSolveR/man/ECOS_exitcodes.Rd |only ECOSolveR-0.5/ECOSolveR/src/Makevars |only ECOSolveR-0.5/ECOSolveR/src/Makevars.win | 20 ECOSolveR-0.5/ECOSolveR/src/ecos-2954b2a-changes |only ECOSolveR-0.5/ECOSolveR/src/ecos/Makefile | 12 ECOSolveR-0.5/ECOSolveR/src/ecos/ecos_bb/ecos_bb.c | 180 ++++---- ECOSolveR-0.5/ECOSolveR/src/ecos/ecos_bb/ecos_bb_preproc.c | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/external/SuiteSparse_config/SuiteSparse_config.h | 7 ECOSolveR-0.5/ECOSolveR/src/ecos/external/amd/src/amd_2.c | 2 ECOSolveR-0.5/ECOSolveR/src/ecos/external/amd/src/amd_order.c | 2 ECOSolveR-0.5/ECOSolveR/src/ecos/include/ctrlc.h | 20 ECOSolveR-0.5/ECOSolveR/src/ecos/include/ecos.h | 32 + ECOSolveR-0.5/ECOSolveR/src/ecos/include/ecos_bb.h | 38 - ECOSolveR-0.5/ECOSolveR/src/ecos/include/glblopts.h | 34 - ECOSolveR-0.5/ECOSolveR/src/ecos/include/splamm.h | 2 ECOSolveR-0.5/ECOSolveR/src/ecos/include/timer.h | 6 ECOSolveR-0.5/ECOSolveR/src/ecos/src/cone.c | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/src/ctrlc.c | 17 ECOSolveR-0.5/ECOSolveR/src/ecos/src/ecos.c | 25 - ECOSolveR-0.5/ECOSolveR/src/ecos/src/kkt.c | 2 ECOSolveR-0.5/ECOSolveR/src/ecos/src/preproc.c | 10 ECOSolveR-0.5/ECOSolveR/src/ecos/src/splamm.c | 4 ECOSolveR-0.5/ECOSolveR/src/ecos/src/timer.c | 10 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_25fv47.h | 6 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_adlittle.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_afiro.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_agg.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_agg2.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_agg3.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_bandm.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_beaconfd.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_blend.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/LPnetlib/lp_bnl1.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/MPC/MPC01.h | 4 ECOSolveR-0.5/ECOSolveR/src/ecos/test/MPC/MPC02.h | 6 ECOSolveR-0.5/ECOSolveR/src/ecos/test/bb_test.c | 55 ++ ECOSolveR-0.5/ECOSolveR/src/ecos/test/exponential/num_err.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/exponential/random_feasible.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/exponential/random_infeasible.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/exponential/random_unbounded.h | 8 ECOSolveR-0.5/ECOSolveR/src/ecos/test/generated/inv_pos/inv_pos.h | 5 ECOSolveR-0.5/ECOSolveR/src/ecos/test/generated/norm/norm.h | 5 ECOSolveR-0.5/ECOSolveR/src/ecos/test/generated/quad_over_lin/quad_over_lin.h | 5 ECOSolveR-0.5/ECOSolveR/src/ecos/test/generated/sq_norm/sq_norm.h | 5 ECOSolveR-0.5/ECOSolveR/src/ecos/test/generated/sum_sq/sum_sq.h | 5 ECOSolveR-0.5/ECOSolveR/src/ecos/test/infeasibleProblems/infeasible1.h | 4 ECOSolveR-0.5/ECOSolveR/src/ecos/test/unboundedProblems/unboundedLP1.h | 4 ECOSolveR-0.5/ECOSolveR/src/ecos/test/unboundedProblems/unboundedMaxSqrt.h | 4 ECOSolveR-0.5/ECOSolveR/src/ecosolve.c | 2 ECOSolveR-0.5/ECOSolveR/tests/testthat.R | 1 ECOSolveR-0.5/ECOSolveR/tests/testthat/test-bb.R | 1 ECOSolveR-0.5/ECOSolveR/tests/testthat/test-ecos-src.R |only ECOSolveR-0.5/ECOSolveR/tests/testthat/test-ecos.R |only ECOSolveR-0.5/ECOSolveR/vignettes/examples.Rmd | 9 80 files changed, 786 insertions(+), 564 deletions(-)
Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational
assessment) for datasets with replication designs (jackknife,
bootstrap, replicate weights; see Kolenikov, 2010;
Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>,
<doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996,
<doi:10.1080/02331889708802523>).
Descriptive statistics, linear and logistic regression,
path models for manifest variables with measurement error
correction and two-level hierarchical regressions for weighted
samples are included. Statistical inference can be conducted for
multiply imputed datasets and nested multiply imputed datasets
and is in particularly suited for the analysis of plausible values
(for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016;
Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham &
Yanagida, 2016; <doi:10.17888/fdb-demo:bistE813I-16a>).
The package development was supported by BIFIE (Federal Institute for
Educational Research, Innovation and Development of the Austrian
School System; Salzburg, Austria).
Author: BIFIE [aut], Alexander Robitzsch [aut, cre],
Konrad Oberwimmer [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between BIFIEsurvey versions 3.0-14 dated 2018-12-11 and 3.1-33 dated 2019-03-20
DESCRIPTION | 17 MD5 | 126 ++-- NAMESPACE | 10 R/BIFIE.BIFIEdata2datalist.R | 15 R/BIFIE.data.select.R | 13 R/BIFIE.derivedParameters.R | 53 - R/BIFIE.lavaan.survey.R |only R/BIFIE.linreg.R | 51 - R/BIFIE.pathmodel.R | 148 ++-- R/BIFIE.summary.R | 15 R/BIFIE.survey.R |only R/BIFIE.waldtest.R | 35 - R/BIFIE_lavaan_survey_combine_fit_measures.R |only R/BIFIE_lavaan_survey_combine_partable.R |only R/BIFIE_lavaan_survey_define_fit_measures.R |only R/BIFIE_lavaan_survey_define_lavaan_function.R |only R/BIFIE_lavaan_survey_define_variables.R |only R/BIFIE_lavaan_survey_extract_dataset.R |only R/BIFIE_pathmodel_summary_print_model_specification.R |only R/BIFIE_print_package_description.R |only R/BIFIE_waldtest_summary_print_test_statistics.R |only R/BIFIEdata2svrepdesign.R | 22 R/RcppExports.R | 26 R/bifie_nmi_error_message.R |only R/bifiesurvey_lavaan_fitMeasures.R |only R/bifiesurvey_lavaan_survey_lavaan_survey.R |only R/coef.BIFIE.lavaan.survey.R |only R/coef.BIFIE.survey.R |only R/create_function_name.R |only R/print.object.summary.R | 9 R/se.R |only R/summary.BIFIE.lavaan.survey.R |only R/svrepdesign2BIFIEdata.R |only R/svrepdesign2datalist.R |only R/svrepdesign_extract_data.R |only build/partial.rdb |binary inst/CITATION | 5 inst/NEWS | 19 man/BIFIE.BIFIEdata2BIFIEcdata.Rd | 9 man/BIFIE.by.Rd | 10 man/BIFIE.correl.Rd | 10 man/BIFIE.crosstab.Rd | 10 man/BIFIE.data.Rd | 8 man/BIFIE.data.boot.Rd | 4 man/BIFIE.data.jack.Rd | 4 man/BIFIE.data.select.Rd | 4 man/BIFIE.data.transform.Rd | 4 man/BIFIE.derivedParameters.Rd | 13 man/BIFIE.ecdf.Rd | 8 man/BIFIE.freq.Rd | 10 man/BIFIE.hist.Rd | 8 man/BIFIE.lavaan.survey.Rd |only man/BIFIE.linreg.Rd | 10 man/BIFIE.logistreg.Rd | 10 man/BIFIE.mva.Rd | 6 man/BIFIE.pathmodel.Rd | 10 man/BIFIE.twolevelreg.Rd | 10 man/BIFIE.univar.Rd | 10 man/BIFIE.univar.test.Rd | 6 man/BIFIE.waldtest.Rd | 6 man/BIFIEdata2svrepdesign.Rd | 41 + man/BIFIEsurvey-package.Rd | 4 man/BIFIEsurvey-utilities.Rd | 10 man/bifietable.Rd | 4 man/data.bifie.Rd | 4 man/data.pisaNLD.Rd | 4 man/data.test1.Rd | 4 man/data.timss1.Rd | 4 man/save.BIFIEdata.Rd | 4 man/se.Rd |only src/RcppExports.cpp | 124 ++-- src/bifiesurvey_rcpp_helper.cpp | 540 ------------------ src/bifiesurvey_rcpp_helper.h | 25 src/bifiesurvey_rcpp_linreg.cpp |only src/bifiesurvey_rcpp_main.cpp | 371 ------------ src/bifiesurvey_rcpp_pathmodel.cpp |only src/bifiesurvey_rcpp_wald_test.cpp |only src/bifiesurvey_rcpp_wald_test.h |only 78 files changed, 528 insertions(+), 1345 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-09-16 2.0.2
2016-09-15 2.0.1
2016-09-14 2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-10-26 1.1.0
Title: Calculate the RR for the GAM
Description: To calculate the relative risk (RR) for the generalized additive model.
Author: Zhicheng Du,Wangjian Zhang, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Diff between gamRR versions 0.5.0 dated 2019-02-21 and 0.6.0 dated 2019-03-20
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- R/gamRR.R | 16 ++++++++++------ R/gamRR.boot.R | 2 ++ man/gamRR.Rd | 2 ++ man/gamRR.boot.Rd | 2 ++ 6 files changed, 24 insertions(+), 14 deletions(-)
Title: Copula-Based Regression Models for Bivariate Censored Data
Description: Copula-based regression models for bivariate censored data, including
bivariate right-censored data and bivariate interval-censored data. Currently
supports Clayton, Gumbel, Frank, Joe, AMH and Copula2 copula models. For
marginal models, it supports parametric (Weibull, Loglogistic, Gompertz) and
semiparametric (Cox and transformation) models. Includes methods for convenient
prediction and plotting. Also provides a bivariate time-to-event simulation function.
Method details can be found in Sun et.al. (2018) < doi:10.1007/s10985-018-09459-5>
and Sun et.al (2019) <arXiv:1901.01918>.
Author: Tao Sun, Ying Ding
Maintainer: Tao Sun <tao.sun@pitt.edu>
Diff between CopulaCenR versions 1.0.0 dated 2019-03-05 and 1.1.2 dated 2019-03-20
CopulaCenR-1.0.0/CopulaCenR/man/ic_sp_copula.Rd |only CopulaCenR-1.1.2/CopulaCenR/DESCRIPTION | 20 CopulaCenR-1.1.2/CopulaCenR/MD5 | 70 - CopulaCenR-1.1.2/CopulaCenR/NAMESPACE | 10 CopulaCenR-1.1.2/CopulaCenR/R/data_sim_copula.R | 2 CopulaCenR-1.1.2/CopulaCenR/R/fitted.CopulaCenR.R | 8 CopulaCenR-1.1.2/CopulaCenR/R/fun_data_proc.R | 6 CopulaCenR-1.1.2/CopulaCenR/R/fun_loglik.R | 218 +++- CopulaCenR-1.1.2/CopulaCenR/R/fun_plots.R | 901 ++++++++++-------- CopulaCenR-1.1.2/CopulaCenR/R/fun_pseudo_loglik.R | 290 +++-- CopulaCenR-1.1.2/CopulaCenR/R/fun_score.R | 105 +- CopulaCenR-1.1.2/CopulaCenR/R/ic_par_copula.R | 33 CopulaCenR-1.1.2/CopulaCenR/R/ic_sp_copula.R | 38 CopulaCenR-1.1.2/CopulaCenR/R/lines.CopulaCenR.R | 10 CopulaCenR-1.1.2/CopulaCenR/R/lrt_copula.R | 4 CopulaCenR-1.1.2/CopulaCenR/R/plot.CopulaCenR.R | 10 CopulaCenR-1.1.2/CopulaCenR/R/predict.CopulaCenR.R | 27 CopulaCenR-1.1.2/CopulaCenR/R/rc_par_copula.R | 132 -- CopulaCenR-1.1.2/CopulaCenR/R/rc_sp_copula.R |only CopulaCenR-1.1.2/CopulaCenR/R/score_copula.R | 14 CopulaCenR-1.1.2/CopulaCenR/R/tau_copula.R | 10 CopulaCenR-1.1.2/CopulaCenR/man/ACTG181.Rd | 6 CopulaCenR-1.1.2/CopulaCenR/man/AREDS.Rd | 9 CopulaCenR-1.1.2/CopulaCenR/man/CopulaCenR.Rd | 44 CopulaCenR-1.1.2/CopulaCenR/man/DRS.Rd | 11 CopulaCenR-1.1.2/CopulaCenR/man/Kidney.Rd | 6 CopulaCenR-1.1.2/CopulaCenR/man/data_sim_copula.Rd | 2 CopulaCenR-1.1.2/CopulaCenR/man/fitted.CopulaCenR.Rd | 8 CopulaCenR-1.1.2/CopulaCenR/man/ic_par_copula.Rd | 21 CopulaCenR-1.1.2/CopulaCenR/man/ic_spTran_copula.Rd |only CopulaCenR-1.1.2/CopulaCenR/man/lines.CopulaCenR.Rd | 10 CopulaCenR-1.1.2/CopulaCenR/man/lrt_copula.Rd | 4 CopulaCenR-1.1.2/CopulaCenR/man/plot.CopulaCenR.Rd | 10 CopulaCenR-1.1.2/CopulaCenR/man/predict.CopulaCenR.Rd | 9 CopulaCenR-1.1.2/CopulaCenR/man/rc_par_copula.Rd | 23 CopulaCenR-1.1.2/CopulaCenR/man/rc_spCox_copula.Rd |only CopulaCenR-1.1.2/CopulaCenR/man/score_copula.Rd | 5 CopulaCenR-1.1.2/CopulaCenR/man/tau_copula.Rd | 10 38 files changed, 1283 insertions(+), 803 deletions(-)
Title: Easily Download and Visualise Climate Data from CliFlo
Description: CliFlo is a web portal to the New Zealand National Climate
Database and provides public access (via subscription) to around 6,500
various climate stations (see <https://cliflo.niwa.co.nz/> for more
information). Collating and manipulating data from CliFlo
(hence clifro) and importing into R for further analysis, exploration and
visualisation is now straightforward and coherent. The user is required to
have an internet connection, and a current CliFlo subscription (free) if
data from stations, other than the public Reefton electronic weather
station, is sought.
Author: Blake Seers [aut, cre] (<https://orcid.org/0000-0001-6841-4312>)
Maintainer: Blake Seers <blake.seers@gmail.com>
Diff between clifro versions 3.2-1 dated 2019-01-08 and 3.2-2 dated 2019-03-20
DESCRIPTION | 11 - MD5 | 40 ++--- NEWS.md | 12 + R/cfData-plotMethods.R | 4 R/findStations.R | 247 ++++++++++++++++----------------- README.md | 4 build/vignette.rds |binary inst/WORDLIST |only inst/doc/cfStation.html | 28 +++ inst/doc/choose-datatype.Rmd | 6 inst/doc/choose-datatype.html | 34 +++- inst/doc/choose-station.Rmd | 4 inst/doc/choose-station.html | 32 +++- inst/doc/clifro.Rmd | 2 inst/doc/clifro.html | 30 +++- man/plot-cfEarthTemp-missing-method.Rd | 2 man/windrose.Rd | 2 tests/spelling.R |only tools/README-rain-wind-example-1.png |binary vignettes/choose-datatype.Rmd | 6 vignettes/choose-station.Rmd | 4 vignettes/clifro.Rmd | 2 22 files changed, 288 insertions(+), 182 deletions(-)