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Title: Load WARC Files into Apache Spark
Description: Load WARC (Web ARChive) files into Apache Spark using 'sparklyr'. This
allows to read files from the Common Crawl project <http://commoncrawl.org/>.
Author: Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>),
Javier Luraschi [aut]
Maintainer: Yitao Li <yitao@rstudio.com>
Diff between sparkwarc versions 0.1.1 dated 2017-01-13 and 0.1.5 dated 2020-12-15
DESCRIPTION | 25 +-- MD5 | 33 ++-- NAMESPACE | 7 R/RcppExports.R |only R/package.R |only R/sample.R |only R/sparkwarc.R | 109 +++++++++++-- README.md | 310 +++++++++++++++++++++++++++++++++++---- inst/java/sparkwarc-1.5-2.10.jar |binary inst/java/sparkwarc-1.6-2.10.jar |binary inst/java/sparkwarc-2.0-2.11.jar |binary inst/java/sparkwarc-2.1-2.11.jar |only inst/java/sparkwarc-2.2-2.11.jar |only java/SparkWARC.scala | 48 +----- man/cc_warc.Rd | 1 man/rcpp_read_warc_sample.Rd |only man/spark_rcpp_read_warc.Rd |only man/spark_read_warc.Rd | 25 ++- man/spark_read_warc_sample.Rd |only man/spark_warc_sample_path.Rd |only man/sparkwarc.Rd |only src |only 22 files changed, 447 insertions(+), 111 deletions(-)
Title: Generic implementation of the 'RStudio' connections contract
Description: Provides a generic implementation of the 'RStudio' connection contract to
make it easier for database connections, and other type of connections, opened
via R packages integrate with the connections pane inside the 'RStudio' interactive
development environment (IDE).
Author: Nathan Stephens [aut, cre],
Edgar Ruiz [aut]
Maintainer: Nathan Stephens <nathan@rstudio.com>
Diff between rscontract versions 0.1.1 dated 2020-02-10 and 0.1.2 dated 2020-12-15
DESCRIPTION | 12 ++++++------ MD5 | 2 +- 2 files changed, 7 insertions(+), 7 deletions(-)
Title: 'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest
Neighbors
Description: 'Annoy' is a small C++ library for Approximate Nearest Neighbors
written for efficient memory usage as well an ability to load from / save to
disk. This package provides an R interface by relying on the 'Rcpp' package,
exposing the same interface as the original Python wrapper to 'Annoy'. See
<https://github.com/spotify/annoy> for more on 'Annoy'. 'Annoy' is released
under Version 2.0 of the Apache License. Also included is a small Windows
port of 'mmap' which is released under the MIT license.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppAnnoy versions 0.0.17 dated 2020-11-16 and 0.0.18 dated 2020-12-15
ChangeLog | 49 +++++++++++++++++++++++++++++++++++ DESCRIPTION | 10 +++---- MD5 | 32 +++++++++++++--------- R/RcppExports.R | 4 ++ R/version.R |only README.md | 1 inst/NEWS.Rd | 13 +++++++++ inst/doc/UsingAnnoyInCcppWrapper.pdf |binary inst/include/RcppAnnoy.h | 15 +++++++++- inst/include/annoylib.h | 39 ++++++++++++++++----------- inst/include/kissrandom.h | 16 +++++++++-- inst/rmd |only inst/tinytest/testVignette.R |only man/getAnnoyVersion.Rd |only src/RcppExports.cpp | 11 +++++++ src/annoy.cpp | 14 ++-------- src/init.c | 2 + src/version.cpp |only vignettes/UsingAnnoyInCpp.pdf |binary 19 files changed, 157 insertions(+), 49 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 <jim.hester@rstudio.com>
Diff between pkgbuild versions 1.1.0 dated 2020-07-13 and 1.2.0 dated 2020-12-15
DESCRIPTION | 8 ++++---- LICENSE |only MD5 | 23 ++++++++++++----------- NEWS.md | 7 +++++++ R/build-bg.R | 20 +++++++++++++++----- R/build.R | 1 + R/compile-dll.R | 9 +++++++-- R/rcmd.R | 4 ++-- R/rtools.R | 2 ++ R/with-debug.R | 2 +- man/compile_dll.Rd | 8 +++++++- man/pkgbuild_process.Rd | 4 ++-- man/rcmd_build_tools.Rd | 4 ++-- 13 files changed, 62 insertions(+), 30 deletions(-)
Title: Circular, Periodic, or Framed Data Clustering: Fast, Optimal,
and Reproducible
Description: Fast, optimal, and reproducible clustering algorithms for
circular, periodic, or framed data. The algorithms introduced in this
package are based on a core optimal framed clustering algorithm. The
runtime of these algorithms is O(K N log^2 N), where K is the number
of clusters and N is the number of circular data points. On a desktop
computer using a single processor core, millions of circular data
points can be clustered within seconds. One can use the algorithms to
characterize events along circular DNA molecules, circular RNA
molecules, and circular genomes of bacteria, chloroplast, and
mitochondria. One can also cluster climate data along any given
longitude or latitude. Periodic data clustering can be formulated as
circular clustering. The algorithms offer a general high-performance
solution to circular, periodic, or framed data clustering.
Author: Tathagata Debnath [aut] (<https://orcid.org/0000-0001-6445-275X>),
Joe Song [aut, cre] (<https://orcid.org/0000-0002-6883-6547>)
Maintainer: Joe Song <joemsong@cs.nmsu.edu>
Diff between OptCirClust versions 0.0.1 dated 2020-12-09 and 0.0.2 dated 2020-12-15
DESCRIPTION | 33 +++++++++++++-------------- MD5 | 44 ++++++++++++++++++------------------- NEWS.md | 24 +++++++++++++++++--- R/CirClust.R | 13 ++++++++-- R/plot-CirClust.R | 22 ++++++++++++------ README.md | 2 - build/vignette.rds |binary inst/doc/CircularGenomes.Rmd | 4 +-- inst/doc/CircularGenomes.html | 6 ++--- inst/doc/Performance.html | 4 +-- inst/doc/Tutorial_CirClust.R | 2 - inst/doc/Tutorial_CirClust.Rmd | 10 ++++---- inst/doc/Tutorial_CirClust.html | 16 ++++++------- inst/doc/Tutorial_FramedClust.R | 4 +-- inst/doc/Tutorial_FramedClust.Rmd | 10 ++++---- inst/doc/Tutorial_FramedClust.html | 14 +++++------ man/CirClust.Rd | 11 +++++++-- man/plot.CirClust.Rd | 19 ++++++++++++--- src/OptFramedClust.cpp | 23 +++++++++++++------ src/OptFramedClust.h | 28 ++++++++++++----------- vignettes/CircularGenomes.Rmd | 4 +-- vignettes/Tutorial_CirClust.Rmd | 10 ++++---- vignettes/Tutorial_FramedClust.Rmd | 10 ++++---- 23 files changed, 187 insertions(+), 126 deletions(-)
Title: Multiples Comparisons Procedures Based on Studentized Midrange
and Range Distributions
Description: Apply tests of multiple comparisons based
on studentized 'midrange' and 'range' distributions.
The tests are: Tukey Midrange ('TM' test),
Student-Newman-Keuls Midrange ('SNKM' test),
Means Grouping Midrange ('MGM' test) and
Means Grouping Range ('MGR' test). The first two tests were published by
Batista and Ferreira (2020) <doi:10.1590/1413-7054202044008020>.
The last two are being published.
Author: Ben Deivide [aut, cre] (<https://orcid.org/0000-0001-7019-8794>),
Daniel Furtado [aut] (<https://orcid.org/0000-0002-4371-5239>),
Diego Arthur [ctb]
Maintainer: Ben Deivide <ben.deivide@ufsj.edu.br>
Diff between midrangeMCP versions 3.1 dated 2020-06-29 and 3.1.1 dated 2020-12-15
midrangeMCP-3.1.1/midrangeMCP/DESCRIPTION | 31 midrangeMCP-3.1.1/midrangeMCP/MD5 | 28 midrangeMCP-3.1.1/midrangeMCP/NAMESPACE | 1 midrangeMCP-3.1.1/midrangeMCP/NEWS.md |only midrangeMCP-3.1.1/midrangeMCP/R/MRbarplot.R | 4 midrangeMCP-3.1.1/midrangeMCP/R/MRtest.R | 19 midrangeMCP-3.1.1/midrangeMCP/R/MRwrite.R | 2 midrangeMCP-3.1.1/midrangeMCP/R/guimidrangeMCP(tcltk).R | 2866 ++++++++-------- midrangeMCP-3.1.1/midrangeMCP/README.md |only midrangeMCP-3.1.1/midrangeMCP/man/MRbarplot.Rd | 154 midrangeMCP-3.1.1/midrangeMCP/man/MRtest.Rd | 299 - midrangeMCP-3.1.1/midrangeMCP/man/MRwrite.Rd | 130 midrangeMCP-3.1.1/midrangeMCP/man/figures |only midrangeMCP-3.1.1/midrangeMCP/man/guimidrangeMCP.Rd | 58 midrangeMCP-3.1.1/midrangeMCP/tests |only midrangeMCP-3.1/midrangeMCP/NEWS |only 16 files changed, 1804 insertions(+), 1788 deletions(-)
Title: Fast Implementation of (Local) Population Stratification Methods
Description: Fast implementations to compute the genetic covariance matrix, the Jaccard similarity matrix, the s-matrix (the weighted Jaccard similarity matrix), and the (classic or robust) genomic relationship matrix of a (dense or sparse) input matrix. Full support for sparse matrices from the R-package 'Matrix'. Additionally, an implementation of the power method (von Mises iteration) to compute the largest eigenvector of a matrix is included, a function to perform an automated full run of global and local correlations in population stratification data, and a function to compute sliding windows. New functionality in locStra allows one to extract the k leading eigenvectors of the genetic covariance matrix, Jaccard similarity matrix, s-matrix, and genomic relationship matrix without actually computing the similarity matrices.
Author: Georg Hahn [aut,cre], Sharon M. Lutz [ctb], Christoph Lange [ctb]
Maintainer: Georg Hahn <ghahn@hsph.harvard.edu>
Diff between locStra versions 1.5 dated 2020-12-02 and 1.6 dated 2020-12-15
DESCRIPTION | 8 ++++---- MD5 | 28 ++++++++++++++-------------- R/locStra.r | 48 ++++++++++++++++++++++++------------------------ man/covMatrix.Rd | 4 ++-- man/fastCovEVs.Rd | 6 +++--- man/fastGrmEVs.Rd | 6 +++--- man/fastJaccardEVs.Rd | 6 +++--- man/fastSMatrixEVs.Rd | 6 +++--- man/fullscan.Rd | 4 ++-- man/grMatrix.Rd | 4 ++-- man/jaccardMatrix.Rd | 4 ++-- man/makeWindows.Rd | 2 +- man/powerMethod.Rd | 2 +- man/sMatrix.Rd | 4 ++-- src/auxcode.cpp | 4 ++-- 15 files changed, 68 insertions(+), 68 deletions(-)
Title: A Lightweight and Flexible Web Framework
Description: A very flexible framework for building server side logic in R. The
framework is unopinionated when it comes to how HTTP requests and WebSocket
messages are handled and supports all levels of app complexity; from serving
static content to full-blown dynamic web-apps. Fiery does not hold your hand
as much as e.g. the shiny package does, but instead sets you free to create
your web app the way you want.
Author: Thomas Lin Pedersen [cre, aut]
(<https://orcid.org/0000-0002-5147-4711>)
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>
Diff between fiery versions 1.1.2 dated 2019-09-27 and 1.1.3 dated 2020-12-15
DESCRIPTION | 8 MD5 | 30 +-- NEWS.md | 4 build/vignette.rds |binary inst/doc/delayed.R | 2 inst/doc/delayed.html | 302 +++++++++++------------------------ inst/doc/events.R | 6 inst/doc/events.html | 318 ++++++++++++------------------------- inst/doc/plugins.R | 6 inst/doc/plugins.html | 348 ++++++++++++++-------------------------- man/Fire.Rd | 357 +++++++++++++++++++++++++++++++++++++++++- man/fake_request.Rd | 10 - man/fiery-package.Rd | 6 man/loggers.Rd | 10 - man/random_port.Rd | 3 tests/testthat/test-loggers.R | 1 16 files changed, 726 insertions(+), 685 deletions(-)
Title: Dynamic Treatment Regimes for Survival Analysis
Description: Provides methods for estimating multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring. Cho, H., Holloway, S. T., and Kosorok, M. R. (2020) <arXiv:2012.03294>.
Author: Shannon T. Holloway, Hunyong Cho
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>
Diff between dtrSurv versions 1.0 dated 2020-12-09 and 1.1 dated 2020-12-15
DESCRIPTION | 10 +++--- MD5 | 6 ++-- src/dtrSurv.f90 | 79 +++++++++++++++++++++++++++++++++-------------------- src/dtrSurv_init.c | 4 +- 4 files changed, 60 insertions(+), 39 deletions(-)
Title: Google's Compact Language Detector 2
Description: Bindings to Google's C++ library Compact Language Detector 2
(see <https://github.com/cld2owners/cld2#readme> for more information). Probabilistically
detects over 80 languages in plain text or HTML. For mixed-language input it returns the
top three detected languages and their approximate proportion of the total classified
text bytes (e.g. 80% English and 20% French out of 1000 bytes). There is also a 'cld3'
package on CRAN which uses a neural network model instead.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>),
Dirk Sites [cph] (Author of CLD2 C++ library)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between cld2 versions 1.2 dated 2018-05-11 and 1.2.1 dated 2020-12-15
DESCRIPTION | 9 +++++---- MD5 | 12 ++++++------ NEWS | 4 ++++ R/cld2.R | 2 +- src/libcld2/internal/compact_lang_det_impl.cc | 2 +- src/wrapper.cpp | 2 +- tests/testthat/test-detect.R | 5 +++-- 7 files changed, 21 insertions(+), 15 deletions(-)
Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code
ported from S-PLUS. A modern 'MySQL' client based on 'Rcpp' is available
from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>),
David James [aut],
Saikat DebRoy [aut],
Hadley Wickham [aut],
Jeffrey Horner [aut],
RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between RMySQL versions 0.10.20 dated 2020-03-14 and 0.10.21 dated 2020-12-15
DESCRIPTION | 6 +++--- MD5 | 9 +++++---- NEWS.md | 6 +++++- configure | 32 ++++++++++++++++---------------- src/Makevars.win | 8 +++----- tests/testthat/test-dbQuoteString.R |only 6 files changed, 32 insertions(+), 29 deletions(-)
Title: General Engine for Eco-Evolutionary Simulations
Description: Contains an engine for spatially-explicit eco-evolutionary mechanistic models with a modular implementation and several support functions. It allows exploring the consequences of ecological and macroevolutionary processes across realistic or theoretical spatio-temporal landscapes on biodiversity patterns as a general term.
Author: ETH Zürich [cph],
Oskar Hagen [aut, cre] (Landscape Ecology, WSL and ETH Zürich,
Switzerland),
Benjamin Flueck [aut] (Landscape Ecology, WSL and ETH Zürich,
Switzerland),
Fabian Fopp [aut] (Landscape Ecology, WSL and ETH Zürich, Switzerland),
Juliano S. Cabral [aut] (Ecosystem Modeling, Center for Computational
and Theoretical Biology, University of Würzburg, Würzburg, Germany),
Florian Hartig [aut] (Theoretical Ecology, University of Regensburg,
Regensburg, Germany),
Mikael Pontarp [aut] (Department of Biology, Lund University, Lund,
Sweden),
Charles Novaes de Santana [ctb] (Landscape Ecology, WSL and ETH Zürich,
Switzerland),
Thiago F. Rangel [aut] (Department of Ecology, Universidade Federal de
Goiás, Goiás, Brazil),
Theo Gaboriau [ctb] (Depatment of Computational Biology, Lausanne
University, Switzerland),
Loïc Pellissier [aut, ths] (Landscape Ecology, WSL and ETH Zürich,
Switzerland)
Maintainer: Oskar Hagen <oskar@hagen.bio>
Diff between gen3sis versions 1.1 dated 2020-08-29 and 1.2 dated 2020-12-15
gen3sis-1.1/gen3sis/inst/extdata/CostFunctionExamples |only gen3sis-1.1/gen3sis/inst/extdata/InputRasters |only gen3sis-1.1/gen3sis/inst/extdata/WorldCenter/landscape/distances_local/distances_local_100.rds |only gen3sis-1.1/gen3sis/inst/extdata/WorldCenter/landscape/distances_local/distances_local_101.rds |only gen3sis-1.1/gen3sis/inst/extdata/WorldCenter/landscape/distances_local/distances_local_102.rds |only gen3sis-1.1/gen3sis/inst/extdata/WorldCenter/landscape/distances_local/distances_local_103.rds |only gen3sis-1.1/gen3sis/inst/extdata/WorldCenter/landscape/distances_local/distances_local_104.rds |only gen3sis-1.1/gen3sis/inst/extdata/WorldCenter/landscape/distances_local/distances_local_105.rds |only gen3sis-1.1/gen3sis/inst/extdata/WorldCenter/landscape/distances_local/distances_local_106.rds |only gen3sis-1.1/gen3sis/inst/extdata/WorldCenter/landscape/distances_local/distances_local_107.rds |only 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Title: An Implementation of Z-Curves
Description: An implementation of z-curves - a method for estimating expected discovery
and replicability rates on the bases of test-statistics of published studies. The package
provides functions for fitting the new density and EM version
(Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>) as well as the original density
z-curve (Brunner & Schimmack, 2017, <doi:10.31219/osf.io/wr93f>). Furthermore, the package
provides summarizing and plotting functions for the fitted z-curve objects. See the
aforementioned articles for more information about the z-curves, expected discovery
and replicability rates, validation studies, and limitations.
Author: František Bartoš [aut, cre],
Ulrich Schimmack [aut]
Maintainer: František Bartoš <f.bartos96@gmail.com>
Diff between zcurve versions 1.0.6 dated 2020-09-26 and 1.0.7 dated 2020-12-15
DESCRIPTION | 6 +- MD5 | 20 +++--- R/RcppExports.R | 24 ++++---- R/main.R | 69 ++++++++++++----------- R/tools.R | 50 +++++++---------- R/zcurve_EM.R | 34 ++++++----- R/zcurve_density.R | 53 +++++++----------- build/partial.rdb |binary man/control_EM.Rd | 150 ++++++++++++++++++++++++++-------------------------- src/RcppExports.cpp | 54 ++++++++++-------- src/zcurveEM.cpp | 149 ++++++++++++++++++++++++++++----------------------- 11 files changed, 316 insertions(+), 293 deletions(-)
Title: Tide Analysis and Prediction of Predominantly Semi-Diurnal Tides
Description: Tide analysis and prediction of predominantly semi-diurnal tides
with two high waters and two low waters during one lunar day (~24.842 hours,
~1.035 days). The analysis should preferably cover an observation period of at
least 19 years. For shorter periods, for example, the nodal cycle can not be
taken into account, which particularly affects the height calculation. The main
objective of this package is to produce tide tables.
Author: Moritz Mueller-Navarra [aut, cre],
Sylvin Mueller-Navarra [aut] ((2019)
<https://doi.org/10.5194/os-15-1363-2019>),
Andreas Boesch [ctb] ((2019) <https://doi.org/10.5194/os-15-1363-2019>)
Maintainer: Moritz Mueller-Navarra <muellernavarra@gmail.com>
Diff between TideTables versions 0.0.2 dated 2017-09-11 and 0.0.3 dated 2020-12-15
TideTables-0.0.2/TideTables/man/PlotTides.Rd |only TideTables-0.0.3/TideTables/DESCRIPTION | 24 - TideTables-0.0.3/TideTables/MD5 | 31 - TideTables-0.0.3/TideTables/NAMESPACE | 7 TideTables-0.0.3/TideTables/NEWS | 13 TideTables-0.0.3/TideTables/R/BuildTT.R |only TideTables-0.0.3/TideTables/R/SynTT.R |only TideTables-0.0.3/TideTables/R/TideTable.R | 154 ++++--- TideTables-0.0.3/TideTables/R/UtilityFunctions.R | 459 +++++++++++++---------- TideTables-0.0.3/TideTables/R/observation.R | 6 TideTables-0.0.3/TideTables/README.md | 151 +++++++ TideTables-0.0.3/TideTables/man/BuildTT.Rd |only TideTables-0.0.3/TideTables/man/ComputeAfunc.Rd |only TideTables-0.0.3/TideTables/man/EstimateTmhwi.Rd | 8 TideTables-0.0.3/TideTables/man/FindOmega.Rd |only TideTables-0.0.3/TideTables/man/Funcs.Rd | 2 TideTables-0.0.3/TideTables/man/SynTT.Rd |only TideTables-0.0.3/TideTables/man/TideTable.Rd | 35 + TideTables-0.0.3/TideTables/man/observation.Rd | 12 TideTables-0.0.3/TideTables/tests |only 20 files changed, 591 insertions(+), 311 deletions(-)
Title: 'Rcpp' Dynamic Programming
Description: Dynamic Programming implemented in 'Rcpp'. Includes example partition and out of sample fitting applications. Also supplies additional custom coders for the 'vtreat' package.
Author: John Mount [aut, cre],
Nina Zumel [aut],
Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>
Diff between RcppDynProg versions 0.1.6 dated 2020-11-13 and 0.2.0 dated 2020-12-15
DESCRIPTION | 8 ++--- MD5 | 56 +++++++++++++++++------------------ NEWS.md | 4 ++ R/RcppExports.R | 24 +++++++-------- README.md | 39 +++++++++++++----------- inst/doc/RcppDynProg.html | 4 +- inst/doc/Segmentation.html | 4 +- inst/doc/SegmentationL.html | 4 +- man/const_cost.Rd | 2 - man/const_cost_logistic.Rd | 2 - man/const_costs.Rd | 2 - man/const_costs_logistic.Rd | 2 - man/lin_cost.Rd | 2 - man/lin_cost_logistic.Rd | 2 - man/lin_costs.Rd | 2 - man/lin_costs_logistic.Rd | 2 - man/logistic_fits.Rd | 2 - man/solve_interval_partition.Rd | 2 - man/solve_interval_partition_k.Rd | 2 - man/solve_interval_partition_no_k.Rd | 2 - src/const_costs.cpp | 12 ++++++- src/const_costs_logistic.cpp | 12 ++++++- src/input_summary.cpp | 4 ++ src/lin_costs.cpp | 12 ++++++- src/lin_costs_logistic.cpp | 12 ++++++- src/logistic_regress.cpp | 15 ++++++++- src/solve_interval_partition.cpp | 14 ++++++-- src/xlin_fits.cpp | 4 ++ src/xlin_pfits.cpp | 4 ++ 29 files changed, 164 insertions(+), 92 deletions(-)
Title: An Interface for Microclimate Time Series Analysis
Description: An R code with a GUI for microclimate time series, with an emphasis on underground environments. 'KarsTS' provides linear and nonlinear methods, including recurrence analysis (Marwan et al. (2007) <10.1016/j.physrep.2006.11.001>) and filling methods (Moffat et al. (2007) <doi:10.1016/j.agrformet.2007.08.011>), as well as tools to manipulate easily time series and gap sets.
Author: Marina Saez [aut, cre],
David Benavente [ths],
Soledad Cuezva [ths],
Concepcion Pla [ctb]
Maintainer: Marina Saez <marinasaez_andreu@hotmail.com>
Diff between KarsTS versions 2.3 dated 2020-06-07 and 2.4 dated 2020-12-15
DESCRIPTION | 17 MD5 | 122 NAMESPACE | 77 NEWS | 12 R/E1dAndE2d.R | 212 R/KarsTS.R | 1 R/RPKTS.R | 32 R/anaSamPer.R | 12 R/arimaKalman.R | 8 R/arimaXKalman.R | 10 R/cleanEnvir.R | 118 R/createCrossRMPlot.R | 756 -- R/createFANplot.R | 1281 ++- R/createRandGaps.R | 4 R/createSimpleRMPlot.R | 870 +- R/createSpecGaps.R | 6 R/determinismKTS.R | 69 R/endingLines.R | 12 R/fillWithTwins.R | 8 R/fnnKTS.R | 367 - R/gamKTS.R | 12 R/getCRP.R | 3 R/getCoordsKTS.R | 210 R/globalV.R | 121 R/goodnessFilling.R | 16 R/histKTS.R | 240 R/invariantsKTS.R | 468 + R/isTimeAlright.R | 10 R/laminarityKTS.R | 67 R/linCorrKTS.R | 260 R/linearityKTS.R | 22 R/meanValue.R | 4 R/missForestKTS.R | 18 R/mutInf.R | 8 R/mutualKTS.R | 396 - R/myLinModel.R | 42 R/naApproxKTS.R | 2 R/naSplinesKTS.R | 2 R/normalityKTS.R | 18 R/packagesToImport.R | 3 R/pcaKTS.R | 16 R/plotTimeSeries.R | 1481 ++-- R/refreshDataSetsList.R | 30 R/removePoints.R | 394 - R/scattTimeSeries.R | 1085 ++- R/selectionGaps.R | 62 R/stationarityKTS.R | 12 R/statisticsKTS.R | 8 R/stinemannKTS.R | 7 R/windRoseKTS.R | 239 R/writeMethodSummary.R | 8 R/writeMethodTitle.R | 4 README | 2 build/partial.rdb |binary inst/extdata/KarsTS-manual.pdf |12580 +++++++++++++++++++-------------------- inst/extdata/KarsTSUserGuide.pdf |binary man/assignMultiple.Rd | 9 man/genGapExample.Rd | 26 man/genTSExample.Rd | 13 man/getClassEnvir.Rd | 23 man/removeIfExists.Rd | 10 man/tsDetect.Rd | 19 62 files changed, 11918 insertions(+), 10026 deletions(-)
Title: Dimension Reduction Techniques for Conditional Quantiles
Description: An implementation of dimension reduction techniques
for conditional quantiles. Nonparametric estimation of
conditional quantiles is also available.
Author: Eliana Christou [aut, cre] (<https://orcid.org/0000-0001-5044-0969>)
Maintainer: Eliana Christou <echris15@uncc.edu>
Diff between quantdr versions 1.0.0 dated 2020-10-07 and 1.1.0 dated 2020-12-15
DESCRIPTION | 8 ++-- MD5 | 22 +++++------ NEWS.md | 13 ++++++ R/cqs.R | 2 - R/llqr.R | 3 - README.md | 36 +++++++++--------- inst/doc/quantdr.R | 22 +++++++---- inst/doc/quantdr.Rmd | 24 +++++++----- inst/doc/quantdr.html | 62 +++++++++++++++++-------------- man/figures/README-unnamed-chunk-3-1.png |binary man/figures/README-unnamed-chunk-4-1.png |binary vignettes/quantdr.Rmd | 24 +++++++----- 12 files changed, 126 insertions(+), 90 deletions(-)
Title: A Multi-Platform GUI for Drawing Customizable Graphs in R
Description: A multi-platform user interface for drawing highly customizable graphs in R. It aims to be a valuable help to quickly draw publishable graphs without any knowledge of R commands. Six kinds of graph are available: histogram, box-and-whisker plot, bar plot, pie chart, curve and scatter plot.
Author: Maxime Herv<e9>
Maintainer: Maxime Herv<e9> <maxime.herve@univ-rennes1.fr>
Diff between GrapheR versions 1.9-86 dated 2016-12-13 and 1.9-86-3 dated 2020-12-15
GrapheR-1.9-86-3/GrapheR/DESCRIPTION | 11 +++--- GrapheR-1.9-86-3/GrapheR/MD5 | 43 +++--------------------- GrapheR-1.9-86-3/GrapheR/NEWS | 3 + GrapheR-1.9-86-3/GrapheR/R/Sources.R | 8 ++-- GrapheR-1.9-86-3/GrapheR/R/zzz.R | 2 - GrapheR-1.9-86-3/GrapheR/R/zzzz.R | 2 - GrapheR-1.9-86-3/GrapheR/man/GrapheR-package.Rd | 10 ++++- GrapheR-1.9-86/GrapheR/inst/doc |only GrapheR-1.9-86/GrapheR/vignettes |only 9 files changed, 29 insertions(+), 50 deletions(-)
Title: Create Tables for Reporting Clinical Trials
Description: Create Tables for Reporting Clinical Trials.
Calculates descriptive statistics and hypothesis tests,
arranges the results in a table ready for reporting with LaTeX, HTML or Word.
Author: Armin Ströbel [aut, cre] (<https://orcid.org/0000-0002-6873-5332>),
Alan Haynes [aut] (<https://orcid.org/0000-0003-1374-081X>)
Maintainer: Armin Ströbel <arminstroebel@web.de>
Diff between atable versions 0.1.9 dated 2020-09-19 and 0.1.10 dated 2020-12-15
DESCRIPTION | 8 MD5 | 72 ++++--- NAMESPACE | 4 R/atable.R | 36 ++- R/atable_compact.R |only R/atable_longitudinal.R |only R/atable_options.R | 136 ++++++++++++++ R/helper.R | 275 +++++++++++++++++++++++++----- build/vignette.rds |binary inst/doc/atable_usage.R | 70 +++++++ inst/doc/atable_usage.pdf |binary inst/doc/atable_usage.rnw | 86 ++++++++- inst/doc/extending.pdf |binary inst/doc/modifying.pdf |binary man/add_observation_column.Rd | 40 ++-- man/atable.Rd | 5 man/atable_compact.Rd |only man/atable_longitudinal.Rd |only man/atable_options.Rd | 20 ++ man/atable_options_reset.Rd | 38 ++-- man/check_format_statistics.Rd | 42 ++-- man/check_format_tests.Rd | 36 +-- man/check_statistics.Rd | 40 ++-- man/check_tests.Rd | 48 ++--- man/create_alias_mapping.Rd | 68 +++---- man/format_statistics.Rd | 150 ++++++++-------- man/format_tests.Rd | 118 ++++++------ man/indent_data_frame.Rd | 164 ++++++++--------- man/is_syntactically_valid_name.Rd | 56 +++--- man/multi_sample_htest.Rd | 150 ++++++++-------- man/replace_NA.Rd | 188 ++++++++++---------- man/standardized_test_data.Rd | 88 ++++----- man/statistics.Rd | 164 ++++++++--------- man/test_data.Rd | 64 +++--- man/translate_to_LaTeX.Rd | 132 +++++++------- man/two_sample_htest.Rd | 182 +++++++++---------- tests/testthat/test_atable_compact.R |only tests/testthat/test_atable_longitudinal.R |only vignettes/atable_usage.rnw | 86 ++++++++- vignettes/atableusage.bib | 22 ++ 40 files changed, 1606 insertions(+), 982 deletions(-)
Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre],
Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>
Diff between UniprotR versions 2.0.0 dated 2020-12-13 and 2.0.1 dated 2020-12-15
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ R/PathwayAnalysis.R | 25 +++++++++---------------- R/PlotAcidity.R | 2 +- R/PlotGenesNetwork.R | 3 +-- R/PlotGoterms.R | 6 +++--- man/Enrichment.gprofiler.Rd | 3 +-- 7 files changed, 24 insertions(+), 33 deletions(-)
Title: Artificial Intelligence Systems and Observer Performance
Description: Analyzing the performance of artificial intelligence (AI) systems/algorithms characterized
by a "search-and-report" strategy. While historically observer performance has dealt with measuring radiologists'
performance in search tasks – i.e., searching for lesions in medical images and reporting them - the software described
here applies equally to any task involving searching for and reporting arbitrary targets in images. The package can be
used to analyze the performance of AI systems, compare AI performance to a group of human readers or optimize the reporting
threshold of an AI system. In addition to performing conventional receiver operating characteristic (ROC) analysis
(localization information ignored), the software also performs free-response receiver operating characteristic (FROC)
analysis, where lesion localization information is integral to the analyzed data. A book using the software has been
published: Chakraborty DP: Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications
with R-Based Examples, Taylor-Francis LLC; 2017. An online update of this book is at <https://dpc10ster.github.io/RJafrocBook/>.
Illustrations of the software (vignettes) are at <https://dpc10ster.github.io/RJafroc/>. Supported data collection paradigms
are the ROC, FROC and the location ROC (LROC). ROC data consists of single ratings per images, where a rating is the perceived
confidence level that the image is that of a diseased patient. An ROC curve is a plot of true positive fraction vs. false
positive fraction. FROC data consists of a variable number (zero or more) of mark-rating pairs per image, where a mark is the
location of a reported suspicious region and the rating is the confidence level that it is a real lesion. LROC data
consists of a rating and a location of the most suspicious region, for every image. Four models of observer performance,
and curve-fitting software, are implemented: the binormal model (BM), the contaminated binormal model (CBM), the
correlated contaminated binormal model (CORCBM), and the radiological search model (RSM). Unlike the binormal model, CBM,
CORCBM and RSM predict "proper" ROC curves that do not inappropriately cross the chance diagonal. Additionally, RSM
parameters are related to search performance (not measured in conventional ROC analysis) and classification performance.
Search performance refers to finding lesions, i.e., true positives, while simultaneously not finding false positive
locations. Classification performance measures the ability to distinguish between true and false positive locations. Knowing
these separate performances allows principled optimization of reader or AI system performance. RJafroc supersedes Windows
JAFROC (jackknife alternative FROC) software V4.2.1, <https://github.com/dpc10ster/WindowsJafroc>. Package functions are
organized as follows. Data file related function names are preceded by "Df", curve fitting functions by "Fit", included data
sets by "dataset", plotting functions by "Plot", significance testing functions by "St", sample size related functions by
"Ss", data simulation functions by "Simulate" and utility functions by "Util". Implemented are figures of merit (FOMs) for
quantifying performance and functions for visualizing empirical or fitted operating characteristics: e.g., ROC, FROC,
alternative FROC (AFROC) and weighted AFROC (wAFROC) curves. For fully crossed study designs significance testing of
reader-averaged FOM differences between modalities is implemented via either Dorfman-Berbaum-Metz or the Obuchowski-Rockette
methods. Also implemented is single treatment analysis, which allows comparison of performance of a group of radiologists to
a specified value, or comparison of AI to a group of radiologists interpreting the same cases. Crossed-modality analysis is
implemented wherein there are two crossed treatment factors and the aim is to determined performance in each treatment factor
averaged over all levels of the second factor. Sample size estimation tools are provided for ROC and FROC studies; these use
estimates of the relevant variances from a pilot study to predict required numbers of readers and cases in a pivotal study to
achieve the desired power. Utility and data file manipulation functions allow data to be read in any of the currently used
input formats, including Excel, and the results of the analysis can be viewed in text or Excel output files. The methods are
illustrated with several included datasets from the author's collaborations. This version corrects bugs, simplifies usage of
the software and updates the dataset structure. All changes are noted in NEWS.
Author: Dev Chakraborty [cre, aut, cph],
Peter Phillips [aut],
Xuetong Zhai [aut]
Maintainer: Dev Chakraborty <dpc10ster@gmail.com>
Diff between RJafroc versions 1.3.2 dated 2020-03-06 and 2.0.1 dated 2020-12-15
RJafroc-1.3.2/RJafroc/R/BinningRelated.R |only RJafroc-1.3.2/RJafroc/R/DfFroc2Afroc.R |only RJafroc-1.3.2/RJafroc/R/DfReadLrocDataFile.R |only RJafroc-1.3.2/RJafroc/R/FitCorCbmRoc.R |only RJafroc-1.3.2/RJafroc/R/ReadOrDbmMrmc.R |only RJafroc-1.3.2/RJafroc/R/StORHAnalysis.R |only RJafroc-1.3.2/RJafroc/R/StSignificanceTestingCadVsRadiologists.R |only RJafroc-1.3.2/RJafroc/R/StSignificanceTestingSingleFixedFactor.R |only RJafroc-1.3.2/RJafroc/R/StSingleTreatmentRandomReader.R |only RJafroc-1.3.2/RJafroc/R/UtilAucsRSM.R |only RJafroc-1.3.2/RJafroc/R/UtilDBM2ORVarComp.R |only RJafroc-1.3.2/RJafroc/R/UtilVarComponentsOR.R |only RJafroc-1.3.2/RJafroc/R/gpfMyFOM.R |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/DOB1 |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/DOB2 |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/DOB3 |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/FED |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/FR |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/FZR |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/JT |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/MAG |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/NICO |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/OPT |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/PEN |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/RUS |only RJafroc-1.3.2/RJafroc/inst/MRMCRuns/VD |only RJafroc-1.3.2/RJafroc/inst/extdata/CrossedModalitiesData.xlsx |only RJafroc-1.3.2/RJafroc/inst/extdata/FrocData.xlsx |only RJafroc-1.3.2/RJafroc/inst/extdata/RocData.xlsx |only RJafroc-1.3.2/RJafroc/inst/extdata/RoiData.xlsx |only RJafroc-1.3.2/RJafroc/inst/extdata/findings.txt |only RJafroc-1.3.2/RJafroc/inst/extdata/toyFiles |only RJafroc-1.3.2/RJafroc/man/DfFroc2Afroc.Rd |only RJafroc-1.3.2/RJafroc/man/DfReadLrocDataFile.Rd |only RJafroc-1.3.2/RJafroc/man/FitCorCbmRoc.Rd |only RJafroc-1.3.2/RJafroc/man/SsPowerGivenJKDbmVarComp.Rd |only RJafroc-1.3.2/RJafroc/man/SsPowerGivenJKOrVarComp.Rd |only RJafroc-1.3.2/RJafroc/man/StSignificanceTestingCadVsRadiologists.Rd |only RJafroc-1.3.2/RJafroc/man/StSignificanceTestingSingleFixedFactor.Rd |only RJafroc-1.3.2/RJafroc/man/StSingleTreatmentRandomReader.Rd |only RJafroc-1.3.2/RJafroc/man/UtilAucsRSM.Rd |only RJafroc-1.3.2/RJafroc/man/UtilVarComponentsOR.Rd |only RJafroc-2.0.1/RJafroc/DESCRIPTION | 98 RJafroc-2.0.1/RJafroc/MD5 | 406 +- RJafroc-2.0.1/RJafroc/NAMESPACE | 32 RJafroc-2.0.1/RJafroc/NEWS.md | 494 ++ RJafroc-2.0.1/RJafroc/R/ChisqrGoodnessOfFit.R | 3 RJafroc-2.0.1/RJafroc/R/Compare3ProperRocFits.R | 36 RJafroc-2.0.1/RJafroc/R/Df2RJafrocDataset.R | 349 + RJafroc-2.0.1/RJafroc/R/DfBinDataset.R | 395 +- RJafroc-2.0.1/RJafroc/R/DfCreateCorCbmDataset.R | 16 RJafroc-2.0.1/RJafroc/R/DfExtractCorCbmDataset.R | 45 RJafroc-2.0.1/RJafroc/R/DfExtractDataset.R | 158 RJafroc-2.0.1/RJafroc/R/DfFroc2Lroc.R | 70 RJafroc-2.0.1/RJafroc/R/DfFroc2Roc.R | 217 - RJafroc-2.0.1/RJafroc/R/DfLroc2Froc.R | 42 RJafroc-2.0.1/RJafroc/R/DfLroc2Roc.R | 53 RJafroc-2.0.1/RJafroc/R/DfReadCrossedModalities.R | 69 RJafroc-2.0.1/RJafroc/R/DfReadDataFile.R | 1801 +--------- RJafroc-2.0.1/RJafroc/R/DfReadIowaFormats.R |only RJafroc-2.0.1/RJafroc/R/DfSaveDataFile.R | 140 RJafroc-2.0.1/RJafroc/R/EnvironmentVariables.R | 5 RJafroc-2.0.1/RJafroc/R/FitBinormalRoc.R | 18 RJafroc-2.0.1/RJafroc/R/FitCbmRoc.R | 25 RJafroc-2.0.1/RJafroc/R/FitCorCbm.R |only RJafroc-2.0.1/RJafroc/R/FitRsmRoc.R | 47 RJafroc-2.0.1/RJafroc/R/MyFom_ij.R |only RJafroc-2.0.1/RJafroc/R/ORAnalysisFactorial.R |only RJafroc-2.0.1/RJafroc/R/ORAnalysisSplitPlot.R |only RJafroc-2.0.1/RJafroc/R/PlotBinormalFit.R | 5 RJafroc-2.0.1/RJafroc/R/PlotCBMFit.R | 5 RJafroc-2.0.1/RJafroc/R/PlotEmpiricalOperatingCharacteristics.R | 1470 -------- RJafroc-2.0.1/RJafroc/R/PlotRsmOperatingCharacteristics.R | 393 -- RJafroc-2.0.1/RJafroc/R/PlotSupport.R |only RJafroc-2.0.1/RJafroc/R/RcppExports.R | 64 RJafroc-2.0.1/RJafroc/R/ReadJAFROCNewFormat.R |only RJafroc-2.0.1/RJafroc/R/ReadJAFROCOldFormat.R |only RJafroc-2.0.1/RJafroc/R/SimulateCorCbmDataset.R | 11 RJafroc-2.0.1/RJafroc/R/SimulateFrocDataset.R | 54 RJafroc-2.0.1/RJafroc/R/SimulateFrocFromLrocDataset.R |only RJafroc-2.0.1/RJafroc/R/SimulateLrocDataset.R | 4 RJafroc-2.0.1/RJafroc/R/SimulateRocDataset.R | 50 RJafroc-2.0.1/RJafroc/R/SsFrocNhRsmModel.R | 54 RJafroc-2.0.1/RJafroc/R/SsPowerGivenJK.R | 477 +- RJafroc-2.0.1/RJafroc/R/SsPowerTable.R | 109 RJafroc-2.0.1/RJafroc/R/SsSampleSizeKGivenJ.R | 169 RJafroc-2.0.1/RJafroc/R/StDBMHAnalysis.R | 459 -- RJafroc-2.0.1/RJafroc/R/StDBMSummaryFRRC.R |only RJafroc-2.0.1/RJafroc/R/StDBMSummaryRRFC.R |only RJafroc-2.0.1/RJafroc/R/StDBMSummaryRRRC.R |only RJafroc-2.0.1/RJafroc/R/StORSummaryFRRC.R |only RJafroc-2.0.1/RJafroc/R/StORSummaryRRFC.R |only RJafroc-2.0.1/RJafroc/R/StORSummaryRRRC.R |only RJafroc-2.0.1/RJafroc/R/StOldCode.R | 113 RJafroc-2.0.1/RJafroc/R/StSignificanceTesting.R | 716 --- RJafroc-2.0.1/RJafroc/R/StSignificanceTestingCadVsRad.R |only RJafroc-2.0.1/RJafroc/R/StSignificanceTestingCrossedModalities.R | 270 + RJafroc-2.0.1/RJafroc/R/UtilAnalyticalAucsRSM.R |only RJafroc-2.0.1/RJafroc/R/UtilAucBinormal.R | 2 RJafroc-2.0.1/RJafroc/R/UtilAucCBM.R | 2 RJafroc-2.0.1/RJafroc/R/UtilAucPROPROC.R | 2 RJafroc-2.0.1/RJafroc/R/UtilDBM2ORVarCom.R |only RJafroc-2.0.1/RJafroc/R/UtilFigureOfMerit.R | 150 RJafroc-2.0.1/RJafroc/R/UtilIntrinsic2PhysicalRSM.R | 1 RJafroc-2.0.1/RJafroc/R/UtilLesionDistr.R | 78 RJafroc-2.0.1/RJafroc/R/UtilLesionWeightsDistr.R | 104 RJafroc-2.0.1/RJafroc/R/UtilMeanSquares.R | 139 RJafroc-2.0.1/RJafroc/R/UtilOR2DBMVarCom.R |only RJafroc-2.0.1/RJafroc/R/UtilORVarComponentsFactorial.R |only RJafroc-2.0.1/RJafroc/R/UtilOutputReport.R | 1350 +------ RJafroc-2.0.1/RJafroc/R/UtilOutputReportExcelFileDBMH.R |only RJafroc-2.0.1/RJafroc/R/UtilOutputReportExcelFileORH.R |only RJafroc-2.0.1/RJafroc/R/UtilOutputReportTextFileDBMH.R |only RJafroc-2.0.1/RJafroc/R/UtilOutputReportTextFileORH.R |only RJafroc-2.0.1/RJafroc/R/UtilPhysical2IntrinsicRSM.R | 1 RJafroc-2.0.1/RJafroc/R/UtilPseudoValues.R | 264 - RJafroc-2.0.1/RJafroc/R/UtilVarComponentsDBM.R |only RJafroc-2.0.1/RJafroc/R/addArguments.R | 2 RJafroc-2.0.1/RJafroc/R/dataset2ratings.R |only RJafroc-2.0.1/RJafroc/R/datasets.R | 890 +++- RJafroc-2.0.1/RJafroc/R/isValidDataset.R | 77 RJafroc-2.0.1/RJafroc/R/isValidFom.R | 4 RJafroc-2.0.1/RJafroc/R/rsmFormulae.R |only RJafroc-2.0.1/RJafroc/data/dataset01.RData |binary RJafroc-2.0.1/RJafroc/data/dataset02.RData |binary RJafroc-2.0.1/RJafroc/data/dataset03.RData |binary RJafroc-2.0.1/RJafroc/data/dataset04.RData |binary RJafroc-2.0.1/RJafroc/data/dataset05.RData |binary RJafroc-2.0.1/RJafroc/data/dataset06.RData |binary RJafroc-2.0.1/RJafroc/data/dataset07.RData |binary RJafroc-2.0.1/RJafroc/data/dataset08.RData |binary RJafroc-2.0.1/RJafroc/data/dataset09.RData |binary RJafroc-2.0.1/RJafroc/data/dataset10.RData |binary RJafroc-2.0.1/RJafroc/data/dataset11.RData |binary RJafroc-2.0.1/RJafroc/data/dataset12.RData |binary RJafroc-2.0.1/RJafroc/data/dataset13.RData |binary RJafroc-2.0.1/RJafroc/data/dataset14.RData |binary RJafroc-2.0.1/RJafroc/data/datasetBinned123.RData |binary RJafroc-2.0.1/RJafroc/data/datasetBinned124.RData |binary RJafroc-2.0.1/RJafroc/data/datasetBinned125.RData |binary RJafroc-2.0.1/RJafroc/data/datasetCadLroc.RData |binary RJafroc-2.0.1/RJafroc/data/datasetCadSimuFroc.RData |binary RJafroc-2.0.1/RJafroc/data/datasetCrossedModality.RData |binary RJafroc-2.0.1/RJafroc/data/datasetDegenerate.RData |binary RJafroc-2.0.1/RJafroc/data/datasetFROCSpC.RData |only RJafroc-2.0.1/RJafroc/data/datasetROI.RData |binary RJafroc-2.0.1/RJafroc/inst/FixDatasets |only RJafroc-2.0.1/RJafroc/inst/Iowa |only RJafroc-2.0.1/RJafroc/inst/JAFROC |only RJafroc-2.0.1/RJafroc/inst/cranSubmission |only RJafroc-2.0.1/RJafroc/inst/extdata/Froc.xlsx |only RJafroc-2.0.1/RJafroc/inst/extdata/Roc.xlsx |only RJafroc-2.0.1/RJafroc/inst/fixPlots |only RJafroc-2.0.1/RJafroc/inst/resetTestthat |only RJafroc-2.0.1/RJafroc/man/Compare3ProperRocFits.Rd | 25 RJafroc-2.0.1/RJafroc/man/Df2RJafrocDataset.Rd | 111 RJafroc-2.0.1/RJafroc/man/DfBinDataset.Rd | 46 RJafroc-2.0.1/RJafroc/man/DfCreateCorCbmDataset.Rd | 8 RJafroc-2.0.1/RJafroc/man/DfExtractCorCbmDataset.Rd | 6 RJafroc-2.0.1/RJafroc/man/DfExtractDataset.Rd | 7 RJafroc-2.0.1/RJafroc/man/DfFroc2Lroc.Rd | 3 RJafroc-2.0.1/RJafroc/man/DfFroc2Roc.Rd | 39 RJafroc-2.0.1/RJafroc/man/DfLroc2Roc.Rd | 4 RJafroc-2.0.1/RJafroc/man/DfReadCrossedModalities.Rd | 19 RJafroc-2.0.1/RJafroc/man/DfReadDataFile.Rd | 25 RJafroc-2.0.1/RJafroc/man/DfSaveDataFile.Rd | 28 RJafroc-2.0.1/RJafroc/man/FitBinormalRoc.Rd | 12 RJafroc-2.0.1/RJafroc/man/FitCbmRoc.Rd | 16 RJafroc-2.0.1/RJafroc/man/FitCorCbm.Rd |only RJafroc-2.0.1/RJafroc/man/FitRsmRoc.Rd | 28 RJafroc-2.0.1/RJafroc/man/PlotBinormalFit.Rd | 2 RJafroc-2.0.1/RJafroc/man/PlotCbmFit.Rd | 2 RJafroc-2.0.1/RJafroc/man/PlotEmpiricalOperatingCharacteristics.Rd | 64 RJafroc-2.0.1/RJafroc/man/PlotRsmOperatingCharacteristics.Rd | 125 RJafroc-2.0.1/RJafroc/man/RJafroc-package.Rd | 408 -- RJafroc-2.0.1/RJafroc/man/SimulateCorCbmDataset.Rd | 11 RJafroc-2.0.1/RJafroc/man/SimulateFrocDataset.Rd | 18 RJafroc-2.0.1/RJafroc/man/SimulateFrocFromLrocDataset.Rd |only RJafroc-2.0.1/RJafroc/man/SimulateLrocDataset.Rd | 3 RJafroc-2.0.1/RJafroc/man/SimulateRocDataset.Rd | 24 RJafroc-2.0.1/RJafroc/man/SsFrocNhRsmModel.Rd | 20 RJafroc-2.0.1/RJafroc/man/SsPowerGivenJK.Rd | 131 RJafroc-2.0.1/RJafroc/man/SsPowerGivenJKDbmVarCom.Rd |only RJafroc-2.0.1/RJafroc/man/SsPowerGivenJKOrVarCom.Rd |only RJafroc-2.0.1/RJafroc/man/SsPowerTable.Rd | 26 RJafroc-2.0.1/RJafroc/man/SsSampleSizeKGivenJ.Rd | 65 RJafroc-2.0.1/RJafroc/man/StSignificanceTesting.Rd | 157 RJafroc-2.0.1/RJafroc/man/StSignificanceTestingCadVsRad.Rd |only RJafroc-2.0.1/RJafroc/man/StSignificanceTestingCrossedModalities.Rd | 15 RJafroc-2.0.1/RJafroc/man/UtilAnalyticalAucsRSM.Rd |only RJafroc-2.0.1/RJafroc/man/UtilAucBinormal.Rd | 2 RJafroc-2.0.1/RJafroc/man/UtilAucCBM.Rd | 2 RJafroc-2.0.1/RJafroc/man/UtilAucPROPROC.Rd | 2 RJafroc-2.0.1/RJafroc/man/UtilDBM2ORVarCom.Rd |only RJafroc-2.0.1/RJafroc/man/UtilFigureOfMerit.Rd | 39 RJafroc-2.0.1/RJafroc/man/UtilIntrinsic2PhysicalRSM.Rd | 3 RJafroc-2.0.1/RJafroc/man/UtilLesionDistr.Rd | 47 RJafroc-2.0.1/RJafroc/man/UtilLesionWeightsDistr.Rd | 58 RJafroc-2.0.1/RJafroc/man/UtilMeanSquares.Rd | 12 RJafroc-2.0.1/RJafroc/man/UtilOR2DBMVarCom.Rd |only RJafroc-2.0.1/RJafroc/man/UtilORVarComponentsFactorial.Rd |only RJafroc-2.0.1/RJafroc/man/UtilOutputReport.Rd | 46 RJafroc-2.0.1/RJafroc/man/UtilPhysical2IntrinsicRSM.Rd | 3 RJafroc-2.0.1/RJafroc/man/UtilPseudoValues.Rd | 22 RJafroc-2.0.1/RJafroc/man/UtilVarComponentsDBM.Rd | 2 RJafroc-2.0.1/RJafroc/man/dataset01.Rd | 36 RJafroc-2.0.1/RJafroc/man/dataset02.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset03.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset04.Rd | 37 RJafroc-2.0.1/RJafroc/man/dataset05.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset06.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset07.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset08.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset09.Rd | 39 RJafroc-2.0.1/RJafroc/man/dataset10.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset11.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset12.Rd | 33 RJafroc-2.0.1/RJafroc/man/dataset13.Rd | 31 RJafroc-2.0.1/RJafroc/man/dataset14.Rd | 31 RJafroc-2.0.1/RJafroc/man/datasetBinned123.Rd | 39 RJafroc-2.0.1/RJafroc/man/datasetBinned124.Rd | 35 RJafroc-2.0.1/RJafroc/man/datasetBinned125.Rd | 35 RJafroc-2.0.1/RJafroc/man/datasetCadLroc.Rd | 39 RJafroc-2.0.1/RJafroc/man/datasetCadSimuFroc.Rd | 48 RJafroc-2.0.1/RJafroc/man/datasetCrossedModality.Rd | 32 RJafroc-2.0.1/RJafroc/man/datasetDegenerate.Rd | 31 RJafroc-2.0.1/RJafroc/man/datasetFROCSpC.Rd |only RJafroc-2.0.1/RJafroc/man/datasetROI.Rd | 33 RJafroc-2.0.1/RJafroc/man/isBinnedDataset.Rd |only RJafroc-2.0.1/RJafroc/man/isValidDataset.Rd |only RJafroc-2.0.1/RJafroc/src/MyFOM.cpp | 464 +- RJafroc-2.0.1/RJafroc/src/RcppExports.cpp | 216 - RJafroc-2.0.1/RJafroc/src/RsmFuncs.cpp | 2 233 files changed, 6097 insertions(+), 9026 deletions(-)
Title: Search and Retrieve Spatial Data from 'GUGiK'
Description: Automatic open data acquisition from resources of Polish Head Office
of Geodesy and Cartography ('Główny Urząd Geodezji i Kartografii')
(<www.gugik.gov.pl>).
Available datasets include various types of numeric, raster and vector data,
such as orthophotomaps, digital elevation models (digital terrain models,
digital surface model, point clouds), state register of borders, spatial
databases, geometries of cadastral parcels, 3D models of buildings, and more.
It is also possible to geocode addresses or objects using the geocodePL_get()
function.
Author: Krzysztof Dyba [aut, cre] (<https://orcid.org/0000-0002-8614-3816>),
Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>),
Maciej Beręsewicz [ctb] (<https://orcid.org/0000-0002-8281-4301>),
GUGiK [ctb] (source of the data)
Maintainer: Krzysztof Dyba <adres7@gmail.com>
Diff between rgugik versions 0.2.0 dated 2020-12-09 and 0.2.1 dated 2020-12-15
rgugik-0.2.0/rgugik/man/figures/README-unnamed-chunk-4-1.png |only rgugik-0.2.0/rgugik/man/figures/README-unnamed-chunk-6-1.png |only rgugik-0.2.1/rgugik/DESCRIPTION | 6 rgugik-0.2.1/rgugik/MD5 | 18 rgugik-0.2.1/rgugik/R/geocodePL_get.R | 7 rgugik-0.2.1/rgugik/R/parcel_get.R | 10 rgugik-0.2.1/rgugik/R/pointDTM_get.R | 4 rgugik-0.2.1/rgugik/README.md | 360 +++++------ rgugik-0.2.1/rgugik/man/figures/README-f1-1.png |only rgugik-0.2.1/rgugik/man/figures/README-f2-1.png |only rgugik-0.2.1/rgugik/tests/testthat/test-minmaxDTM_get.R | 6 rgugik-0.2.1/rgugik/tests/testthat/test-tile_download.R | 6 12 files changed, 215 insertions(+), 202 deletions(-)
Title: Retrieving Publications from PubMed Database Based on User Query
Description: Connects to Pubmed <https://pubmed.ncbi.nlm.nih.gov/> to retrieve publications related to user-defined search query.
Author: Mohamed Soudy [aut, cre],
Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>
Diff between ResearchAssociate versions 1.0.0 dated 2020-12-09 and 1.0.1 dated 2020-12-15
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/PlotPublications.R | 6 +++--- 3 files changed, 8 insertions(+), 8 deletions(-)
More information about ResearchAssociate at CRAN
Permanent link
Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and
regression tests for package mlt.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between mlt.docreg versions 1.0-8 dated 2020-09-21 and 1.0-9 dated 2020-12-15
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- build/vignette.rds |binary inst/NEWS.Rd | 8 ++++++++ inst/doc/mlt.pdf |binary tests/AFT-Ex.R | 1 + 6 files changed, 18 insertions(+), 9 deletions(-)
Title: Event History Analysis
Description: Parametric proportional hazards fitting with left truncation and
right censoring for common families of distributions, piecewise constant
hazards, and discrete models. Parametric accelerated failure time models
for left truncated and right censored data. Proportional hazards
models for tabular and register data. Sampling of risk sets in Cox
regression, selections in the Lexis diagram, bootstrapping.
Broström (2012) <doi:10.1201/9781315373942>.
Author: Göran Broström [aut, cre],
Jianming Jin [ctb]
Maintainer: Göran Broström <goran.brostrom@umu.se>
Diff between eha versions 2.8.1 dated 2020-04-01 and 2.8.4 dated 2020-12-15
eha-2.8.1/eha/R/deprecated.R |only eha-2.8.1/eha/R/ltx.coxreg.R |only eha-2.8.1/eha/R/ltx.phreg.R |only eha-2.8.1/eha/R/pchreg.R |only eha-2.8.1/eha/R/plot.hazards.R |only eha-2.8.1/eha/data/swe07.rda |only eha-2.8.1/eha/inst/doc/parametric.Rnw |only eha-2.8.1/eha/inst/doc/parametric.pdf |only eha-2.8.1/eha/man/eha-defunct.Rd |only eha-2.8.1/eha/man/swe07.Rd |only eha-2.8.1/eha/vignettes/parametric.Rnw |only eha-2.8.4/eha/ChangeLog | 217 +++++++++++++ eha-2.8.4/eha/DESCRIPTION | 33 +- eha-2.8.4/eha/MD5 | 200 +++++++----- eha-2.8.4/eha/NAMESPACE | 28 + eha-2.8.4/eha/NEWS.md | 71 ++++ eha-2.8.4/eha/R/Gompertz.R | 106 ++++-- eha-2.8.4/eha/R/Surv.R |only eha-2.8.4/eha/R/aftreg.R | 12 eha-2.8.4/eha/R/check.dist.R | 50 +-- eha-2.8.4/eha/R/coxfun0.R |only eha-2.8.4/eha/R/coxfunk.R |only eha-2.8.4/eha/R/coxreg.R | 235 +++++++++----- eha-2.8.4/eha/R/coxreg.fit.R | 30 + eha-2.8.4/eha/R/eha.R | 3 eha-2.8.4/eha/R/extract.R | 2 eha-2.8.4/eha/R/getHaz.R | 6 eha-2.8.4/eha/R/gompregRate.R | 111 ++++--- eha-2.8.4/eha/R/hazards.R |only eha-2.8.4/eha/R/logrank.R |only eha-2.8.4/eha/R/ltx.R | 443 +++++++++++++++++++++++++++- eha-2.8.4/eha/R/ltx.aftreg.R | 3 eha-2.8.4/eha/R/ltx.summary.tpchreg.R |only eha-2.8.4/eha/R/ltx.tpchreg.R |only eha-2.8.4/eha/R/make.communal.R | 2 eha-2.8.4/eha/R/oe.R | 12 eha-2.8.4/eha/R/phreg.R | 106 +++--- eha-2.8.4/eha/R/phreg.fit.R | 1 eha-2.8.4/eha/R/plot.coxreg.R | 105 ++++-- eha-2.8.4/eha/R/plot.hazdata.R | 121 ++++--- eha-2.8.4/eha/R/plot.logrank.R |only eha-2.8.4/eha/R/plot.phreg.R | 60 ++- eha-2.8.4/eha/R/plot.tpchreg.R | 26 + eha-2.8.4/eha/R/print.aftreg.R | 2 eha-2.8.4/eha/R/print.coxreg.R | 18 - eha-2.8.4/eha/R/print.logrank.R |only eha-2.8.4/eha/R/print.pchreg.R | 2 eha-2.8.4/eha/R/print.phreg.R | 2 eha-2.8.4/eha/R/print.summary.aftreg.R |only eha-2.8.4/eha/R/print.summary.coxreg.R |only eha-2.8.4/eha/R/print.summary.phreg.R |only eha-2.8.4/eha/R/print.summary.tpchreg.R |only eha-2.8.4/eha/R/risksets.R | 57 ++- eha-2.8.4/eha/R/strata.R |only eha-2.8.4/eha/R/summary.aftreg.R | 39 ++ eha-2.8.4/eha/R/summary.coxreg.R | 31 + eha-2.8.4/eha/R/summary.phreg.R | 62 +++ eha-2.8.4/eha/R/summary.tpchreg.R |only eha-2.8.4/eha/R/toTime.R | 4 eha-2.8.4/eha/R/toTpch.R | 102 ++++-- eha-2.8.4/eha/R/tpchreg.R | 143 ++++++--- eha-2.8.4/eha/R/tpchreg.fit.R | 48 ++- eha-2.8.4/eha/R/weibreg.R | 6 eha-2.8.4/eha/build/vignette.rds |binary eha-2.8.4/eha/data/child.rda |only eha-2.8.4/eha/data/swedeaths.rda |only eha-2.8.4/eha/data/swepop.rda |only eha-2.8.4/eha/inst/CITATION |only eha-2.8.4/eha/inst/doc/eha.R |only eha-2.8.4/eha/inst/doc/eha.Rmd | 225 +++++++++++++- eha-2.8.4/eha/inst/doc/eha.html | 457 ++++++++++++++++++++++++++--- eha-2.8.4/eha/inst/doc/gompertz.R |only eha-2.8.4/eha/inst/doc/gompertz.Rmd |only eha-2.8.4/eha/inst/doc/gompertz.html |only eha-2.8.4/eha/inst/doc/parametric.R |only eha-2.8.4/eha/inst/doc/parametric.Rmd |only eha-2.8.4/eha/inst/doc/parametric.html |only eha-2.8.4/eha/inst/doc/parametric1.Rnw |only eha-2.8.4/eha/inst/doc/parametric1.pdf |only eha-2.8.4/eha/inst/doc/tpchreg.R |only eha-2.8.4/eha/inst/doc/tpchreg.Rmd |only eha-2.8.4/eha/inst/doc/tpchreg.html |only eha-2.8.4/eha/man/Gompertz.Rd | 28 + eha-2.8.4/eha/man/aftreg.Rd | 2 eha-2.8.4/eha/man/check.dist.Rd | 4 eha-2.8.4/eha/man/child.Rd |only eha-2.8.4/eha/man/coxfunk.Rd |only eha-2.8.4/eha/man/coxreg.Rd | 33 -- eha-2.8.4/eha/man/coxreg.fit.Rd | 16 - eha-2.8.4/eha/man/eha-package.Rd | 14 eha-2.8.4/eha/man/fert.Rd | 4 eha-2.8.4/eha/man/hazards.Rd |only eha-2.8.4/eha/man/import_Surv.Rd |only eha-2.8.4/eha/man/import_strata.Rd |only eha-2.8.4/eha/man/infants.Rd | 6 eha-2.8.4/eha/man/logrank.Rd |only eha-2.8.4/eha/man/ltx.Rd | 16 - eha-2.8.4/eha/man/make.communal.Rd | 2 eha-2.8.4/eha/man/male.mortality.Rd | 5 eha-2.8.4/eha/man/mort.Rd | 5 eha-2.8.4/eha/man/oe.Rd | 9 eha-2.8.4/eha/man/phreg.Rd | 56 +-- eha-2.8.4/eha/man/plot.coxreg.Rd | 14 eha-2.8.4/eha/man/plot.hazdata.Rd | 36 +- eha-2.8.4/eha/man/plot.logrank.Rd |only eha-2.8.4/eha/man/plot.phreg.Rd | 20 - eha-2.8.4/eha/man/plot.tpchreg.Rd | 5 eha-2.8.4/eha/man/print.logrank.Rd |only eha-2.8.4/eha/man/print.summary.aftreg.Rd |only eha-2.8.4/eha/man/print.summary.coxreg.Rd |only eha-2.8.4/eha/man/print.summary.phreg.Rd |only eha-2.8.4/eha/man/print.summary.tpchreg.Rd |only eha-2.8.4/eha/man/risksets.Rd | 29 + eha-2.8.4/eha/man/scania.Rd | 2 eha-2.8.4/eha/man/summary.coxreg.Rd | 11 eha-2.8.4/eha/man/summary.phreg.Rd | 14 eha-2.8.4/eha/man/summary.tpchreg.Rd |only eha-2.8.4/eha/man/swedeaths.Rd |only eha-2.8.4/eha/man/swepop.Rd |only eha-2.8.4/eha/man/toTime.Rd | 2 eha-2.8.4/eha/man/toTpch.Rd | 43 ++ eha-2.8.4/eha/man/tpchreg.Rd | 47 +- eha-2.8.4/eha/src/Makevars | 2 eha-2.8.4/eha/src/coxfun.c | 2 eha-2.8.4/eha/src/coxfun2.c |only eha-2.8.4/eha/src/coxfun2.h |only eha-2.8.4/eha/src/init.c | 25 + eha-2.8.4/eha/vignettes/eha.Rmd | 225 +++++++++++++- eha-2.8.4/eha/vignettes/gompertz.Rmd |only eha-2.8.4/eha/vignettes/mybib.bib |only eha-2.8.4/eha/vignettes/parametric.Rmd |only eha-2.8.4/eha/vignettes/parametric1.Rnw |only eha-2.8.4/eha/vignettes/tpchreg.Rmd |only 133 files changed, 2979 insertions(+), 879 deletions(-)
Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance
Spectroscopy data. The package includes methods for spectral fitting: Wilson
(2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018)
<DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] (<https://orcid.org/0000-0002-2089-3956>),
Yong Wang [ctb],
John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>
Diff between spant versions 1.8.0 dated 2020-11-18 and 1.9.0 dated 2020-12-15
spant-1.8.0/spant/R/fp_corr_td.R |only spant-1.9.0/spant/DESCRIPTION | 29 - spant-1.9.0/spant/MD5 | 107 ++-- spant-1.9.0/spant/NAMESPACE | 4 spant-1.9.0/spant/NEWS.md | 15 spant-1.9.0/spant/R/dicom_reader.R |only spant-1.9.0/spant/R/fit_display.R | 35 + spant-1.9.0/spant/R/gsl_functions.R |only spant-1.9.0/spant/R/image_reg.R | 99 ++- spant-1.9.0/spant/R/interactive_plotting.R | 33 - spant-1.9.0/spant/R/mrs_data_display.R | 123 +++- spant-1.9.0/spant/R/mrs_data_io.R | 47 + spant-1.9.0/spant/R/mrs_data_proc.R | 95 +-- spant-1.9.0/spant/R/mrs_read_dicom.R |only spant-1.9.0/spant/R/mrs_read_ima.R | 57 -- spant-1.9.0/spant/R/mrs_read_lcm_raw.R | 10 spant-1.9.0/spant/R/mrs_read_list_data.R | 21 spant-1.9.0/spant/R/mrs_read_nifti.R | 61 +- spant-1.9.0/spant/R/mrs_read_paravis.R | 12 spant-1.9.0/spant/R/mrs_read_pfile.R | 9 spant-1.9.0/spant/R/mrs_read_rda.R | 26 - spant-1.9.0/spant/R/mrs_read_spar_sdat.R | 10 spant-1.9.0/spant/R/mrs_read_twix.R | 140 +++-- spant-1.9.0/spant/R/mrs_read_varian.R | 9 spant-1.9.0/spant/R/mrs_write_nifti.R | 41 - spant-1.9.0/spant/R/tdsr.R |only spant-1.9.0/spant/R/utils.R | 8 spant-1.9.0/spant/inst/doc/abfit-baseline-opts.html | 315 +----------- spant-1.9.0/spant/inst/doc/spant-intro.html | 413 +++------------- spant-1.9.0/spant/inst/doc/spant-preprocessing.R | 4 spant-1.9.0/spant/inst/doc/spant-preprocessing.Rmd | 4 spant-1.9.0/spant/inst/doc/spant-preprocessing.html | 303 +---------- spant-1.9.0/spant/man/circ_mask.Rd | 2 spant-1.9.0/spant/man/comb_coils.Rd | 6 spant-1.9.0/spant/man/dicom_reader.Rd |only spant-1.9.0/spant/man/get_mrs_affine.Rd |only spant-1.9.0/spant/man/ortho3.Rd | 4 spant-1.9.0/spant/man/plot.fit_result.Rd | 12 spant-1.9.0/spant/man/plot.mrs_data.Rd | 19 spant-1.9.0/spant/man/plot_voi_overlay.Rd | 8 spant-1.9.0/spant/man/plot_voi_overlay_seg.Rd | 4 spant-1.9.0/spant/man/read_mrs.Rd | 2 spant-1.9.0/spant/man/read_siemens_txt_hdr.Rd | 8 spant-1.9.0/spant/man/reexports.Rd | 5 spant-1.9.0/spant/man/spant-package.Rd | 8 spant-1.9.0/spant/man/stackplot.fit_result.Rd | 12 spant-1.9.0/spant/man/stackplot.mrs_data.Rd | 21 spant-1.9.0/spant/man/tdsr.Rd | 2 spant-1.9.0/spant/man/write_mrs.Rd | 6 spant-1.9.0/spant/man/write_mrs_nifti.Rd | 6 spant-1.9.0/spant/tests/testthat/abfit_res_coarse.rds |binary spant-1.9.0/spant/tests/testthat/abfit_res_default.rds |binary spant-1.9.0/spant/tests/testthat/abfit_res_fine.rds |binary spant-1.9.0/spant/tests/testthat/abfit_res_no_optim.rds |binary spant-1.9.0/spant/tests/testthat/abfit_sim_mrs_data.rds |binary spant-1.9.0/spant/tests/testthat/abfit_sim_res.rds |binary spant-1.9.0/spant/tests/testthat/test_nifti.R | 17 spant-1.9.0/spant/vignettes/spant-preprocessing.Rmd | 4 58 files changed, 863 insertions(+), 1313 deletions(-)
Title: Parsing Command-Line Arguments and Simple Variable Interpolation
Description: This is a command-line argument parser which wraps the
powerful Perl module Getopt::Long and with some adaptations for easier use
in R. It also provides a simple way for variable interpolation in R.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>
Diff between GetoptLong versions 1.0.4 dated 2020-10-19 and 1.0.5 dated 2020-12-15
DESCRIPTION | 8 ++-- MD5 | 10 ++--- NEWS | 6 +++ R/get_options.R | 10 ++++- inst/doc/GetoptLong.html | 64 +++++++++++++++++++++++++++++---- inst/doc/variable_interpolation.html | 66 ++++++++++++++++++++++++++++++----- 6 files changed, 137 insertions(+), 27 deletions(-)
Title: Reusable Assisting Functions for Child Mortality Estimation
Description: Provide helper functions for UNICEF child mortality estimation.
Author: Yang Liu [aut, cre] (<https://orcid.org/0000-0001-6557-6439>)
Maintainer: Yang Liu <lyhello@gmail.com>
Diff between CME.assistant versions 1.1.0 dated 2020-11-25 and 1.1.1 dated 2020-12-15
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/1.data_engineering.R | 32 ++++++++++++++++++++++++++------ man/load.final_dir.Rd | 6 +++++- 4 files changed, 37 insertions(+), 13 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-01-07 0.1-9
2014-11-07 0.1-8
2014-07-14 0.1-6
2014-02-03 0.1-3
2013-06-04 0.1-1
2013-03-20 0.0-3
2012-11-28 0.0-2
Title: The Uniform Manifold Approximation and Projection (UMAP) Method
for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and
Projection dimensionality reduction by McInnes et al. (2018)
<arXiv:1802.03426>. It also provides means to transform new data and to
carry out supervised dimensionality reduction. An implementation of the
related LargeVis method of Tang et al. (2016) <arXiv:1602.00370> is also
provided. This is a complete re-implementation in R (and C++, via the 'Rcpp'
package): no Python installation is required. See the uwot website
(<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre],
Aaron Lun [ctb],
Mohamed Nadhir Djekidel [ctb],
Yuhan Hao [ctb]
Maintainer: James Melville <jlmelville@gmail.com>
Diff between uwot versions 0.1.9 dated 2020-11-15 and 0.1.10 dated 2020-12-15
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS.md | 20 ++++++++++++++++++-- R/util.R | 5 +++++ R/uwot.R | 11 +++++++++-- man/tumap.Rd | 4 +++- man/umap.Rd | 4 +++- src/Makevars | 4 +--- src/nn_parallel.h | 22 ++-------------------- tests/testthat/test_errors.R | 15 +++++++++++++++ 10 files changed, 69 insertions(+), 42 deletions(-)
Title: Tools to Calculate Climate Targets for Financial Portfolios
Description: These tools help you to assess if a financial
portfolio aligns with climate goals. They summarize key metrics
attributed to the portfolio (e.g. production, emission factors), and
calculate targets based on climate scenarios. They implement in R the
last step of the free software 'PACTA' (Paris Agreement Capital
Transition Assessment; <https://2degrees-investing.org/>). Financial
institutions use 'PACTA' to study how their capital allocation impacts
the climate.
Author: Jackson Hoffart [aut, cre] (<https://orcid.org/0000-0002-8600-5042>),
Mauro Lepore [aut, ctr] (<https://orcid.org/0000-0002-1986-7988>),
Klaus Hogedorn [aut],
2 Degrees Investing Initiative [cph, fnd]
Maintainer: Jackson Hoffart <jackson.hoffart@gmail.com>
Diff between r2dii.analysis versions 0.1.2 dated 2020-12-05 and 0.1.3 dated 2020-12-15
DESCRIPTION | 6 +- MD5 | 10 +-- NEWS.md | 7 ++ R/summarize_weighted_production.R | 2 README.md | 76 +----------------------------- tests/testthat/test-target_market_share.R | 24 +++++++++ 6 files changed, 44 insertions(+), 81 deletions(-)
More information about r2dii.analysis at CRAN
Permanent link
Title: Testing for Partial Copulas and the Simplifying Assumption in
Vine Copulas
Description: Routines for two different test types, the Constant Conditional Correlation (CCC) test and the Vectorial Independence (VI) test are provided (Kurz and Spanhel (2017) <arXiv:1706.02338>). The tests can be applied to check whether a conditional copula coincides with its partial copula. Functions to test whether a regular vine copula satisfies the so-called simplifying assumption or to test a single copula within a regular vine copula to be a (j-1)-th order partial copula are available. The CCC test comes with a decision tree approach to allow testing in high-dimensional settings.
Author: Malte S. Kurz [aut, cre]
Maintainer: Malte S. Kurz <malte.simon.kurz@uni-hamburg.de>
Diff between pacotest versions 0.3.1 dated 2019-03-11 and 0.4.0 dated 2020-12-15
DESCRIPTION | 12 - MD5 | 24 +- NEWS.md | 12 + R/pacotest.R | 32 +++ R/pacotestset.R | 10 - README.md | 2 man/pacotest-package.Rd | 2 man/pacotest.Rd | 24 +- man/pacotestRvineSeq.Rd | 12 - man/pacotestRvineSingleCopula.Rd | 12 - man/pacotestset.Rd | 6 tests/testthat/helper-pacotestRegressionTests.R | 92 +++++----- tests/testthat/test-pacotestRvineSingleCopulaRegressionTests.R | 1 13 files changed, 145 insertions(+), 96 deletions(-)
Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and
control groups with similar covariate distributions -- can be
used to match exactly on covariates, to match on propensity
scores, or perform a variety of other matching procedures. The
package also implements a series of recommendations offered in
Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>.
Author: Daniel Ho [aut] (<https://orcid.org/0000-0002-2195-5469>),
Kosuke Imai [aut] (<https://orcid.org/0000-0002-2748-1022>),
Gary King [aut] (<https://orcid.org/0000-0002-5327-7631>),
Elizabeth Stuart [aut] (<https://orcid.org/0000-0002-9042-8611>),
Alex Whitworth [ctb],
Noah Greifer [ctb, cre, aut] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Diff between MatchIt versions 4.0.1 dated 2020-11-27 and 4.1.0 dated 2020-12-15
MatchIt-4.0.1/MatchIt/src/weights_matrix.cpp |only MatchIt-4.1.0/MatchIt/DESCRIPTION | 16 MatchIt-4.1.0/MatchIt/MD5 | 80 + MatchIt-4.1.0/MatchIt/NAMESPACE | 2 MatchIt-4.1.0/MatchIt/NEWS.md | 18 MatchIt-4.1.0/MatchIt/R/RcppExports.R | 16 MatchIt-4.1.0/MatchIt/R/aux_functions.R | 29 MatchIt-4.1.0/MatchIt/R/cem_matchit.R |only MatchIt-4.1.0/MatchIt/R/distance2_methods.R | 14 MatchIt-4.1.0/MatchIt/R/matchit.R | 2 MatchIt-4.1.0/MatchIt/R/matchit2_methods.R | 426 +++++----- MatchIt-4.1.0/MatchIt/R/weights.matrix.R | 2 MatchIt-4.1.0/MatchIt/R/weights.subclass.R | 4 MatchIt-4.1.0/MatchIt/build/MatchIt.pdf |binary MatchIt-4.1.0/MatchIt/build/partial.rdb |binary MatchIt-4.1.0/MatchIt/inst/doc/MatchIt.html | 70 - MatchIt-4.1.0/MatchIt/inst/doc/assessing-balance.html | 68 - MatchIt-4.1.0/MatchIt/inst/doc/estimating-effects.Rmd | 28 MatchIt-4.1.0/MatchIt/inst/doc/estimating-effects.html | 259 +++--- MatchIt-4.1.0/MatchIt/inst/doc/matching-methods.Rmd | 22 MatchIt-4.1.0/MatchIt/inst/doc/matching-methods.html | 100 -- MatchIt-4.1.0/MatchIt/inst/doc/sampling-weights.html | 66 - MatchIt-4.1.0/MatchIt/inst/include |only MatchIt-4.1.0/MatchIt/man/distance.Rd | 4 MatchIt-4.1.0/MatchIt/man/figures/README-unnamed-chunk-5-1.png |only MatchIt-4.1.0/MatchIt/man/match.data.Rd | 11 MatchIt-4.1.0/MatchIt/man/matchit.Rd | 14 MatchIt-4.1.0/MatchIt/man/method_cem.Rd | 89 +- MatchIt-4.1.0/MatchIt/man/method_exact.Rd | 4 MatchIt-4.1.0/MatchIt/man/method_full.Rd | 8 MatchIt-4.1.0/MatchIt/man/method_genetic.Rd | 6 MatchIt-4.1.0/MatchIt/man/method_nearest.Rd | 8 MatchIt-4.1.0/MatchIt/man/method_optimal.Rd | 23 MatchIt-4.1.0/MatchIt/man/method_subclass.Rd | 6 MatchIt-4.1.0/MatchIt/man/plot.matchit.Rd | 2 MatchIt-4.1.0/MatchIt/man/summary.matchit.Rd | 2 MatchIt-4.1.0/MatchIt/src/RcppExports.cpp | 55 + MatchIt-4.1.0/MatchIt/src/internal.cpp |only MatchIt-4.1.0/MatchIt/src/internal.h |only MatchIt-4.1.0/MatchIt/src/nnm.cpp | 3 MatchIt-4.1.0/MatchIt/src/subclass2mm.cpp |only MatchIt-4.1.0/MatchIt/src/tabulateC.cpp |only MatchIt-4.1.0/MatchIt/src/weights_matrixC.cpp |only MatchIt-4.1.0/MatchIt/vignettes/estimating-effects.Rmd | 28 MatchIt-4.1.0/MatchIt/vignettes/matching-methods.Rmd | 22 45 files changed, 869 insertions(+), 638 deletions(-)
Title: Bayesian Random-Effects Meta-Analysis
Description: A collection of functions allowing to derive the posterior distribution of the two parameters in a random-effects meta-analysis, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) <doi:10.18637/jss.v093.i06>.
Author: Christian Roever [aut, cre] (<https://orcid.org/0000-0002-6911-698X>),
Tim Friede [ctb] (<https://orcid.org/0000-0001-5347-7441>)
Maintainer: Christian Roever <christian.roever@med.uni-goettingen.de>
Diff between bayesmeta versions 2.5 dated 2020-04-20 and 2.6 dated 2020-12-15
bayesmeta-2.5/bayesmeta/inst/doc/Roever2018-bayesmeta.pdf |only bayesmeta-2.5/bayesmeta/inst/doc/Roever2018-bayesmeta.pdf.asis |only bayesmeta-2.5/bayesmeta/vignettes/Roever2018-bayesmeta.pdf.asis |only bayesmeta-2.6/bayesmeta/DESCRIPTION | 16 - bayesmeta-2.6/bayesmeta/MD5 | 70 ++-- bayesmeta-2.6/bayesmeta/NAMESPACE | 6 bayesmeta-2.6/bayesmeta/R/bayesmeta.R | 145 +++++++++- bayesmeta-2.6/bayesmeta/build/vignette.rds |binary bayesmeta-2.6/bayesmeta/data/BaetenEtAl2013.R |only bayesmeta-2.6/bayesmeta/inst/doc/Roever2020-bayesmeta.pdf |only bayesmeta-2.6/bayesmeta/inst/doc/Roever2020-bayesmeta.pdf.asis |only bayesmeta-2.6/bayesmeta/inst/doc/bayesmeta.Rmd | 4 bayesmeta-2.6/bayesmeta/inst/doc/bayesmeta.html | 9 bayesmeta-2.6/bayesmeta/man/BaetenEtAl2013.Rd |only bayesmeta-2.6/bayesmeta/man/Cochran1954.Rd | 2 bayesmeta-2.6/bayesmeta/man/CrinsEtAl2014.Rd | 12 bayesmeta-2.6/bayesmeta/man/GoralczykEtAl2011.Rd | 2 bayesmeta-2.6/bayesmeta/man/HinksEtAl2010.Rd | 8 bayesmeta-2.6/bayesmeta/man/Peto1980.Rd | 39 ++ bayesmeta-2.6/bayesmeta/man/RhodesEtAlPrior.Rd | 9 bayesmeta-2.6/bayesmeta/man/Rubin1981.Rd | 6 bayesmeta-2.6/bayesmeta/man/SidikJonkman2007.Rd | 4 bayesmeta-2.6/bayesmeta/man/TurnerEtAlPrior.Rd | 11 bayesmeta-2.6/bayesmeta/man/bayesmeta-package.Rd | 16 - bayesmeta-2.6/bayesmeta/man/bayesmeta.Rd | 46 ++- bayesmeta-2.6/bayesmeta/man/dhalflogistic.Rd | 7 bayesmeta-2.6/bayesmeta/man/dhalfnormal.Rd | 11 bayesmeta-2.6/bayesmeta/man/dinvchi.Rd | 7 bayesmeta-2.6/bayesmeta/man/dlomax.Rd | 7 bayesmeta-2.6/bayesmeta/man/drayleigh.Rd | 7 bayesmeta-2.6/bayesmeta/man/ess.elir.Rd |only bayesmeta-2.6/bayesmeta/man/forest.bayesmeta.Rd | 4 bayesmeta-2.6/bayesmeta/man/forestplot.bayesmeta.Rd | 8 bayesmeta-2.6/bayesmeta/man/forestplot.escalc.Rd | 4 bayesmeta-2.6/bayesmeta/man/funnel.bayesmeta.Rd | 2 bayesmeta-2.6/bayesmeta/man/normalmixture.Rd | 11 bayesmeta-2.6/bayesmeta/man/plot.bayesmeta.Rd | 8 bayesmeta-2.6/bayesmeta/man/pppvalue.Rd | 4 bayesmeta-2.6/bayesmeta/man/uisd.Rd |only bayesmeta-2.6/bayesmeta/vignettes/Roever2020-bayesmeta.pdf.asis |only bayesmeta-2.6/bayesmeta/vignettes/bayesmeta.Rmd | 4 41 files changed, 372 insertions(+), 117 deletions(-)
Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031> for more details.
Author: Rahul Satija [aut] (<https://orcid.org/0000-0001-9448-8833>),
Andrew Butler [aut] (<https://orcid.org/0000-0003-3608-0463>),
Paul Hoffman [aut, cre] (<https://orcid.org/0000-0002-7693-8957>),
Tim Stuart [aut] (<https://orcid.org/0000-0002-3044-0897>),
Jeff Farrell [ctb],
Shiwei Zheng [ctb] (<https://orcid.org/0000-0001-6682-6743>),
Christoph Hafemeister [ctb] (<https://orcid.org/0000-0001-6365-8254>),
Patrick Roelli [ctb],
Yuhan Hao [ctb] (<https://orcid.org/0000-0002-1810-0822>)
Maintainer: Paul Hoffman <nygcSatijalab@nygenome.org>
Diff between Seurat versions 3.2.2 dated 2020-09-26 and 3.2.3 dated 2020-12-15
DESCRIPTION | 12 +- MD5 | 52 ++++++------ NAMESPACE | 2 NEWS.md | 20 ++++ R/differential_expression.R | 4 R/dimensional_reduction.R | 5 - R/integration.R | 55 ++++++++++++- R/objects.R | 80 ++++++++----------- R/preprocessing.R | 11 ++ R/utilities.R | 13 ++- R/visualization.R | 183 ++++++++++++++++++++++++++++++++++---------- R/zzz.R | 15 +++ README.md | 2 man/CellCycleScoring.Rd | 18 +++- man/CellScatter.Rd | 6 + man/ColorDimSplit.Rd | 2 man/DimPlot.Rd | 6 + man/FeaturePlot.Rd | 14 +++ man/IntegrateData.Rd | 3 man/Load10X_Spatial.Rd | 6 - man/Seurat-package.Rd | 2 man/SeuratTheme.Rd | 3 man/TransferData.Rd | 3 src/RcppExports.cpp | 22 ----- src/data_manipulation.cpp | 42 +++++----- src/integration.cpp | 14 +-- src/snn.cpp | 6 - 27 files changed, 402 insertions(+), 199 deletions(-)
Title: Sassy 'UML' Diagrams
Description: A tool for drawing sassy 'UML' diagrams based on a simple syntax,
see <https://www.nomnoml.com>. Supports styling, R Markdown and exporting diagrams
in the PNG format.
Author: Andrie de Vries [aut, cre],
Javier Luraschi [aut],
Daniel Kallin [cph] (nomnoml.js library, https://nomnoml.com),
RStudio [cph, fnd]
Maintainer: Andrie de Vries <apdevries@gmail.com>
Diff between nomnoml versions 0.2.0 dated 2020-05-26 and 0.2.3 dated 2020-12-15
nomnoml-0.2.0/nomnoml/inst/examples/shiny/tests/mytest-expected |only nomnoml-0.2.0/nomnoml/inst/examples/shiny/tests/mytest.R |only nomnoml-0.2.0/nomnoml/inst/htmlwidgets/lib/dagre |only nomnoml-0.2.0/nomnoml/inst/htmlwidgets/lib/lodash |only nomnoml-0.2.0/nomnoml/tools |only nomnoml-0.2.3/nomnoml/DESCRIPTION | 41 nomnoml-0.2.3/nomnoml/LICENSE | 4 nomnoml-0.2.3/nomnoml/MD5 | 95 nomnoml-0.2.3/nomnoml/NAMESPACE | 15 nomnoml-0.2.3/nomnoml/NEWS.md | 62 nomnoml-0.2.3/nomnoml/R/knit.R | 245 nomnoml-0.2.3/nomnoml/R/nomnoml-package.R |only nomnoml-0.2.3/nomnoml/R/nomnoml.R | 460 nomnoml-0.2.3/nomnoml/R/syntax.R |only nomnoml-0.2.3/nomnoml/R/validate.R |only nomnoml-0.2.3/nomnoml/R/zzz.R | 20 nomnoml-0.2.3/nomnoml/README.md | 430 nomnoml-0.2.3/nomnoml/inst/WORDLIST |only nomnoml-0.2.3/nomnoml/inst/examples/shiny/app.R | 86 nomnoml-0.2.3/nomnoml/inst/examples/shiny/tests/shinytest |only nomnoml-0.2.3/nomnoml/inst/examples/shiny/tests/shinytest.R |only nomnoml-0.2.3/nomnoml/inst/htmlwidgets/lib-raw |only nomnoml-0.2.3/nomnoml/inst/htmlwidgets/lib/es6shim |only nomnoml-0.2.3/nomnoml/inst/htmlwidgets/lib/es7shim |only nomnoml-0.2.3/nomnoml/inst/htmlwidgets/lib/graphre |only nomnoml-0.2.3/nomnoml/inst/htmlwidgets/lib/nomnoml/nomnoml.js | 5085 ++++++---- nomnoml-0.2.3/nomnoml/inst/htmlwidgets/nomnoml.js | 186 nomnoml-0.2.3/nomnoml/inst/htmlwidgets/nomnoml.yaml | 30 nomnoml-0.2.3/nomnoml/man/figures/lifecycle-archived.svg |only nomnoml-0.2.3/nomnoml/man/figures/lifecycle-defunct.svg |only nomnoml-0.2.3/nomnoml/man/figures/lifecycle-deprecated.svg |only nomnoml-0.2.3/nomnoml/man/figures/lifecycle-experimental.svg |only nomnoml-0.2.3/nomnoml/man/figures/lifecycle-maturing.svg |only nomnoml-0.2.3/nomnoml/man/figures/lifecycle-questioning.svg |only nomnoml-0.2.3/nomnoml/man/figures/lifecycle-soft-deprecated.svg |only nomnoml-0.2.3/nomnoml/man/figures/lifecycle-stable.svg |only nomnoml-0.2.3/nomnoml/man/figures/lifecycle-superseded.svg |only nomnoml-0.2.3/nomnoml/man/figures/logo.png |binary nomnoml-0.2.3/nomnoml/man/figures/logo.svg | 249 nomnoml-0.2.3/nomnoml/man/figures/readme |only nomnoml-0.2.3/nomnoml/man/nomnoml-shiny.Rd | 65 nomnoml-0.2.3/nomnoml/man/nomnoml.Rd | 332 nomnoml-0.2.3/nomnoml/man/nomnoml_syntax.Rd |only nomnoml-0.2.3/nomnoml/man/nomnoml_validate.Rd |only nomnoml-0.2.3/nomnoml/tests/spelling.R |only nomnoml-0.2.3/nomnoml/tests/testthat.R | 8 nomnoml-0.2.3/nomnoml/tests/testthat/example_knitr.Rmd |only nomnoml-0.2.3/nomnoml/tests/testthat/test-create_diagram.R | 24 nomnoml-0.2.3/nomnoml/tests/testthat/test-knitr.R |only nomnoml-0.2.3/nomnoml/tests/testthat/test-shiny.R | 39 nomnoml-0.2.3/nomnoml/tests/testthat/test-validate.R |only 51 files changed, 4331 insertions(+), 3145 deletions(-)
Title: Create, Modify and Visualize Multi-Layered Networks
Description: Allows the user to create graph with multiple layers. The user can also modify the layers, the nodes, and the edges. The graph can also be visualized.
Zaynab Hammoud and Frank Kramer (2018) <doi:10.3390/genes9110519>.
More about multilayered graphs and their usage can be found in our review paper:
Zaynab Hammoud and Frank Kramer (2020) <doi:10.1186/s41044-020-00046-0>.
Author: Zaynab Hammoud
Maintainer: Zaynab Hammoud <zaynabhassanhammoud@gmail.com>
Diff between mully versions 2.1.26 dated 2020-11-18 and 2.1.30 dated 2020-12-15
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- R/mully_merge.R | 2 +- R/mully_visualization.R | 7 ++++++- README.md | 7 +++++++ inst/doc/mully-pdf.pdf |binary inst/doc/mully-vignette.html | 4 ++-- man/plot3d.Rd | 2 +- 8 files changed, 27 insertions(+), 15 deletions(-)
Title: Functions for Analysis of fMRI Datasets Stored in the ANALYZE or
NIFTI Format
Description: Functions for I/O, visualisation and analysis of functional Magnetic Resonance Imaging (fMRI) datasets stored in the ANALYZE or NIFTI format. Note that the latest version of XQuartz seems to be necessary under MacOS.
Author: Pierre Lafaye De Micheaux [aut, cre],
Jonathan L Marchini [aut],
Cleve Moler [cph] (LAPACK/BLAS routines in src),
Jack Dongarra [cph] (LAPACK/BLAS routines in src),
Richard Hanson [cph] (LAPACK/BLAS routines in src),
Sven Hammarling [cph] (LAPACK/BLAS routines in src),
Jeremy Du Croz [cph] (LAPACK/BLAS routines in src)
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>
Diff between AnalyzeFMRI versions 1.1-22 dated 2020-12-13 and 1.1-23 dated 2020-12-15
DESCRIPTION | 11 ++++++----- MD5 | 10 +++++----- NAMESPACE | 1 - R/niftiFMRI.R | 38 +++++++++++++++++++++++--------------- inst/HISTORY | 12 ++++++++++++ man/f.plot.volume.gui.Rd | 2 ++ 6 files changed, 48 insertions(+), 26 deletions(-)
Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to
'PyTorch' by Paszke et al (2019) <arXiv:1912.01703> but written entirely in R
using the 'libtorch' library. Also supports low-level tensor operations and
'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph],
Javier Luraschi [aut],
Dmitriy Selivanov [ctb],
Athos Damiani [ctb],
RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>
Diff between torch versions 0.1.1 dated 2020-10-20 and 0.2.0 dated 2020-12-15
torch-0.1.1/torch/tests/testthat/assets/print1 |only torch-0.1.1/torch/tests/testthat/assets/print2 |only torch-0.1.1/torch/tests/testthat/assets/print3 |only torch-0.1.1/torch/tests/testthat/assets/print4 |only torch-0.1.1/torch/vignettes/model.pt |only torch-0.1.1/torch/vignettes/tensor.pt |only torch-0.1.1/torch/vignettes/tensor/index.html |only torch-0.2.0/torch/DESCRIPTION | 60 torch-0.2.0/torch/MD5 | 287 torch-0.2.0/torch/NAMESPACE | 98 torch-0.2.0/torch/NEWS.md | 45 torch-0.2.0/torch/R/RcppExports.R | 2164 ++- torch-0.2.0/torch/R/autograd.R | 11 torch-0.2.0/torch/R/codegen-utils.R | 28 torch-0.2.0/torch/R/distributions-constraints.R |only torch-0.2.0/torch/R/distributions-exp-family.R |only torch-0.2.0/torch/R/distributions.R |only torch-0.2.0/torch/R/gen-method.R | 1247 + torch-0.2.0/torch/R/gen-namespace-docs.R | 1520 ++ torch-0.2.0/torch/R/gen-namespace-examples.R | 892 + torch-0.2.0/torch/R/gen-namespace.R | 4846 ++++++ torch-0.2.0/torch/R/help.R | 12 torch-0.2.0/torch/R/install.R | 83 torch-0.2.0/torch/R/nn-batchnorm.R | 80 torch-0.2.0/torch/R/nn-rnn.R | 231 torch-0.2.0/torch/R/nn.R | 87 torch-0.2.0/torch/R/nnf-pooling.R | 15 torch-0.2.0/torch/R/nnf-upsampling.R | 4 torch-0.2.0/torch/R/optim-adadelta.R | 85 torch-0.2.0/torch/R/optim-adagrad.R | 86 torch-0.2.0/torch/R/optim-adam.R | 119 torch-0.2.0/torch/R/optim-asgd.R | 80 torch-0.2.0/torch/R/optim-lbfgs.R |only torch-0.2.0/torch/R/optim-rmsprop.R | 106 torch-0.2.0/torch/R/optim-rprop.R | 93 torch-0.2.0/torch/R/optim-sgd.R | 72 torch-0.2.0/torch/R/optim.R | 29 torch-0.2.0/torch/R/package.R | 12 torch-0.2.0/torch/R/stack.R |only torch-0.2.0/torch/R/tensor.R | 36 torch-0.2.0/torch/R/trace.R |only torch-0.2.0/torch/R/utils-data-dataloader.R | 220 torch-0.2.0/torch/R/utils-data-fetcher.R | 28 torch-0.2.0/torch/R/utils-data-sampler.R | 67 torch-0.2.0/torch/R/utils-data.R | 53 torch-0.2.0/torch/R/utils.R | 14 torch-0.2.0/torch/R/with-indices.R | 17 torch-0.2.0/torch/R/wrapers.R | 201 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Title: Summary Tables and Plots for Statistical Models and Data:
Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several
statistical models side-by-side. Draw coefficient plots, multi-level
cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and
correlation matrices. This package supports dozens of statistical models,
and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint,
Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or
'knitr' dynamic documents.
Author: Vincent Arel-Bundock [aut, cre]
(<https://orcid.org/0000-0003-2042-7063>)
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Diff between modelsummary versions 0.6.3 dated 2020-10-24 and 0.6.4 dated 2020-12-15
modelsummary-0.6.3/modelsummary/R/extract_models.R |only modelsummary-0.6.3/modelsummary/R/utils_pipe.R |only modelsummary-0.6.3/modelsummary/man/glance_custom.felm.Rd |only modelsummary-0.6.3/modelsummary/man/reexports.Rd |only modelsummary-0.6.3/modelsummary/man/sanity_coef_map.Rd |only modelsummary-0.6.3/modelsummary/man/sanity_coef_omit.Rd |only modelsummary-0.6.3/modelsummary/man/sanity_gof_map.Rd |only modelsummary-0.6.3/modelsummary/man/sanity_gof_omit.Rd |only modelsummary-0.6.3/modelsummary/tests/testthat/test-fixest.R |only modelsummary-0.6.3/modelsummary/tests/testthat/test-gof_map.R |only modelsummary-0.6.3/modelsummary/tests/testthat/test-mice.R |only modelsummary-0.6.3/modelsummary/tests/testthat/test-statistic-override.R |only modelsummary-0.6.4/modelsummary/DESCRIPTION | 14 modelsummary-0.6.4/modelsummary/MD5 | 164 ++-- modelsummary-0.6.4/modelsummary/NAMESPACE | 9 modelsummary-0.6.4/modelsummary/NEWS.md | 15 modelsummary-0.6.4/modelsummary/R/bind.R |only modelsummary-0.6.4/modelsummary/R/convenience.R | 17 modelsummary-0.6.4/modelsummary/R/datasummary.R | 8 modelsummary-0.6.4/modelsummary/R/datasummary_balance.R | 278 +++---- modelsummary-0.6.4/modelsummary/R/datasummary_correlation.R | 17 modelsummary-0.6.4/modelsummary/R/datasummary_functions.R | 10 modelsummary-0.6.4/modelsummary/R/datasummary_skim.R | 396 ++++++---- modelsummary-0.6.4/modelsummary/R/easystats.R |only modelsummary-0.6.4/modelsummary/R/extract_estimates.R | 245 +++--- modelsummary-0.6.4/modelsummary/R/extract_gof.R | 76 + modelsummary-0.6.4/modelsummary/R/extract_statistic_override.R | 89 +- modelsummary-0.6.4/modelsummary/R/factory.R | 20 modelsummary-0.6.4/modelsummary/R/factory_dataframe.R | 2 modelsummary-0.6.4/modelsummary/R/factory_gt.R | 25 modelsummary-0.6.4/modelsummary/R/factory_huxtable.R | 37 modelsummary-0.6.4/modelsummary/R/factory_kableExtra.R | 26 modelsummary-0.6.4/modelsummary/R/glance_custom.R | 26 modelsummary-0.6.4/modelsummary/R/gof_map.R | 23 modelsummary-0.6.4/modelsummary/R/modelplot.R | 86 +- modelsummary-0.6.4/modelsummary/R/modelsummary.R | 294 +++++-- modelsummary-0.6.4/modelsummary/R/modelsummary_wide.R | 24 modelsummary-0.6.4/modelsummary/R/sanity_checks.R | 101 -- modelsummary-0.6.4/modelsummary/R/stars.R | 4 modelsummary-0.6.4/modelsummary/R/tidiers.R |only modelsummary-0.6.4/modelsummary/R/tidy_custom.R | 1 modelsummary-0.6.4/modelsummary/R/utils_replace.R |only modelsummary-0.6.4/modelsummary/README.md | 2 modelsummary-0.6.4/modelsummary/build/modelsummary.pdf |binary modelsummary-0.6.4/modelsummary/man/N.Rd |only modelsummary-0.6.4/modelsummary/man/datasummary_skim_categorical.Rd |only modelsummary-0.6.4/modelsummary/man/datasummary_skim_dataset.Rd |only modelsummary-0.6.4/modelsummary/man/datasummary_skim_numeric.Rd |only modelsummary-0.6.4/modelsummary/man/extract_estimates.Rd | 25 modelsummary-0.6.4/modelsummary/man/extract_gof.Rd | 4 modelsummary-0.6.4/modelsummary/man/extract_models.Rd | 93 -- modelsummary-0.6.4/modelsummary/man/extract_statistic_override.Rd | 5 modelsummary-0.6.4/modelsummary/man/glance_easystats.Rd |only modelsummary-0.6.4/modelsummary/man/gof_map.Rd | 4 modelsummary-0.6.4/modelsummary/man/make_stars.Rd | 2 modelsummary-0.6.4/modelsummary/man/modelplot.Rd | 5 modelsummary-0.6.4/modelsummary/man/modelsummary.Rd | 36 modelsummary-0.6.4/modelsummary/man/modelsummary_wide.Rd | 22 modelsummary-0.6.4/modelsummary/man/msummary.Rd | 36 modelsummary-0.6.4/modelsummary/man/replace_dict.Rd |only modelsummary-0.6.4/modelsummary/man/sanity_coef.Rd |only modelsummary-0.6.4/modelsummary/man/sanity_gof.Rd | 4 modelsummary-0.6.4/modelsummary/man/sanity_statistic.Rd | 6 modelsummary-0.6.4/modelsummary/man/sanity_statistic_override.Rd |only modelsummary-0.6.4/modelsummary/man/tidy_easystats.Rd |only modelsummary-0.6.4/modelsummary/tests/figs/deps.txt | 2 modelsummary-0.6.4/modelsummary/tests/figs/modelplot/coef-map-color-shape-background.svg | 6 modelsummary-0.6.4/modelsummary/tests/figs/modelplot/coef-omit.svg | 4 modelsummary-0.6.4/modelsummary/tests/figs/modelplot/multiple-plots-vanilla.svg | 12 modelsummary-0.6.4/modelsummary/tests/figs/modelplot/vanilla.svg | 8 modelsummary-0.6.4/modelsummary/tests/testthat/known_output/datasummary_balance_penguins.html |only modelsummary-0.6.4/modelsummary/tests/testthat/known_output/statistic-override.rds |binary modelsummary-0.6.4/modelsummary/tests/testthat/test-add_rows.R | 22 modelsummary-0.6.4/modelsummary/tests/testthat/test-bad-input.R | 4 modelsummary-0.6.4/modelsummary/tests/testthat/test-coef_map.R | 30 modelsummary-0.6.4/modelsummary/tests/testthat/test-coef_omit.R | 4 modelsummary-0.6.4/modelsummary/tests/testthat/test-coef_rename.R | 6 modelsummary-0.6.4/modelsummary/tests/testthat/test-datasummary_balance.R | 54 - modelsummary-0.6.4/modelsummary/tests/testthat/test-datasummary_skim.R | 13 modelsummary-0.6.4/modelsummary/tests/testthat/test-ellipses.R | 35 modelsummary-0.6.4/modelsummary/tests/testthat/test-extract_estimates.R | 21 modelsummary-0.6.4/modelsummary/tests/testthat/test-flextable.R | 6 modelsummary-0.6.4/modelsummary/tests/testthat/test-fmt.R | 2 modelsummary-0.6.4/modelsummary/tests/testthat/test-glance_custom.R | 2 modelsummary-0.6.4/modelsummary/tests/testthat/test-glue.R |only modelsummary-0.6.4/modelsummary/tests/testthat/test-gof.R |only modelsummary-0.6.4/modelsummary/tests/testthat/test-gt.R | 16 modelsummary-0.6.4/modelsummary/tests/testthat/test-huxtable.R | 14 modelsummary-0.6.4/modelsummary/tests/testthat/test-interaction.R | 2 modelsummary-0.6.4/modelsummary/tests/testthat/test-kableExtra.R | 8 modelsummary-0.6.4/modelsummary/tests/testthat/test-modelplot.R | 27 modelsummary-0.6.4/modelsummary/tests/testthat/test-modelsummary_list.R | 23 modelsummary-0.6.4/modelsummary/tests/testthat/test-modelsummary_wide.R | 29 modelsummary-0.6.4/modelsummary/tests/testthat/test-stars.R | 35 modelsummary-0.6.4/modelsummary/tests/testthat/test-statistic.R | 34 modelsummary-0.6.4/modelsummary/tests/testthat/test-statistic_override.R |only modelsummary-0.6.4/modelsummary/tests/testthat/test-supported.R |only modelsummary-0.6.4/modelsummary/tests/testthat/test-unsupported.R | 12 98 files changed, 1552 insertions(+), 1130 deletions(-)
Title: SEAWAVE-Q Model
Description: A model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables. See Ryberg and York, 2020, <doi:10.3133/ofr20201082>.
Author: Karen R. Ryberg [aut, cre],
Aldo V. Vecchia [aut],
Benjamin York [ctb]
Maintainer: Karen R. Ryberg <kryberg@usgs.gov>
Diff between seawaveQ versions 2.0.1 dated 2020-08-04 and 2.0.2 dated 2020-12-15
DESCRIPTION | 15 +++++++-------- MD5 | 18 +++++++++--------- NEWS | 4 ++++ R/fitMod.R | 13 ++++++++++--- R/fitswavecav.R | 21 +++++++++++++++++++-- R/seawaveQPlots.R | 11 ++++++----- R/seawaveq-package.R | 4 ++-- build/vignette.rds |binary inst/doc/vignette.pdf |binary man/seawaveQ-package.Rd | 4 ++-- 10 files changed, 59 insertions(+), 31 deletions(-)
Title: Tools for Analyzing Factorial Experiments
Description: Offers a helping hand to psychologists and other behavioral scientists who routinely deal with experimental data from factorial experiments. It includes several functions to format output from other R functions according to the style guidelines of the APA (American Psychological Association). This formatted output can be copied directly into manuscripts to facilitate data reporting. These features are backed up by a toolkit of several small helper functions, e.g., offering out-of-the-box outlier removal. The package lends its name to Georg "Schorsch" Schuessler, ingenious technician at the Department of Psychology III, University of Wuerzburg. For details on the implemented methods, see Roland Pfister and Markus Janczyk (2016) <doi: 10.20982/tqmp.12.2.p147>.
Author: Roland Pfister, Markus Janczyk
Maintainer: Roland Pfister <roland.pfister@psychologie.uni-wuerzburg.de>
Diff between schoRsch versions 1.9 dated 2020-12-11 and 1.9.1 dated 2020-12-15
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/toclipboard.R | 20 +++++++++++++------- man/schoRsch.Rd | 6 +++--- 4 files changed, 23 insertions(+), 17 deletions(-)
Title: Safety Diagnostics for Dose-Escalation Trial Designs
Description: Enhances various R packages that support the design and simulation
of phase 1 dose-escalation trials, adding diagnostics to examine
the safety characteristics of these designs in light of expected
inter-individual variation in pharmacokinetics and pharmacodynamics.
See Norris (2020b), "Retrospective analysis of a fatal dose-finding
trial" <arXiv:2004.12755> and (2020c) "What Were They Thinking?
Pharmacologic priors implicit in a choice of 3+3 dose-escalation design"
<arXiv:2012:05301>.
Author: David C. Norris [aut, cre, cph]
(<https://orcid.org/0000-0001-9593-6343>),
Markus Triska [ctb]
Maintainer: David C. Norris <david@precisionmethods.guru>
Diff between precautionary versions 0.1-5 dated 2020-11-03 and 0.2-0 dated 2020-12-15
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Title: Food Composition Information and Dietary Assessment
Description: Provides a tool set for food information and dietary assessment. It uses food composition data from several reference databases, including: 'USDA' (United States), 'CIQUAL' (France), and 'BEDCA' (Spain). 'NutrienTrackeR' calculates the intake levels for both macronutrient and micronutrients, and compares them with the recommended dietary allowances (RDA). It includes a number of visualization tools, such as time series plots of nutrient intake, and pie-charts showing the main foods contributing to the intake level of a given nutrient.
Author: Andrea Rodriguez-Martinez, Rafael Ayala, Yacine Debbabi, Lara Selles Vidal
Maintainer: Rafael Ayala <r.ayala14@imperial.ac.uk>
Diff between NutrienTrackeR versions 0.99.3 dated 2020-10-06 and 1.0.0 dated 2020-12-15
DESCRIPTION | 12 ++++++------ MD5 | 25 +++++++++++++++---------- NAMESPACE | 2 ++ NEWS | 5 +++++ R/Internal_functions.R | 10 ++++++++++ R/Visualization_functions.R | 29 +++++++++++++++++++++-------- R/app.R |only R/dietBalance.R | 12 ++++++++++-- R/shiny_modules_server.R |only R/shiny_modules_ui.R |only inst/doc/NutrienTrackeR.Rmd | 4 ++++ inst/doc/NutrienTrackeR.html | 6 ++++++ man/NutrienTrackeRapp.Rd |only man/nutrientIntakePlot.Rd | 5 ++++- tests |only vignettes/NutrienTrackeR.Rmd | 4 ++++ 16 files changed, 87 insertions(+), 27 deletions(-)
More information about NutrienTrackeR at CRAN
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Title: A Versatile Toolkit for Copy Number Variation Relationship Data
Analysis and Visualization
Description: Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of these CNV interaction maps.
Author: James Dalgeish, Yonghong Wang, Jack Zhu, Paul Meltzer
Maintainer: James Dalgleish <james.dalgleish@nih.gov>
Diff between CNVScope versions 3.3.7 dated 2020-11-28 and 3.3.9 dated 2020-12-15
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS.md | 4 ++++ R/rebinGenomicInteractions.R | 3 +++ 4 files changed, 14 insertions(+), 7 deletions(-)
Title: Bayesian Latent Variable Models
Description: Estimation of latent variable models using Bayesian methods. Currently estimates the loglinear cognitive diagnosis model of Henson, Templin, and Willse (2009) <doi:10.1007/s11336-008-9089-5>.
Author: Jonathan Templin [aut, cre] (<https://orcid.org/0000-0001-7616-0973>)
Maintainer: Jonathan Templin <jonathan-templin@uiowa.edu>
Diff between blatent versions 0.1.0 dated 2020-12-08 and 0.1.1 dated 2020-12-15
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/blatentEstimate.R | 4 ++-- man/blatentEstimate.Rd | 4 ++-- 4 files changed, 10 insertions(+), 10 deletions(-)
Title: Encoding Coordinates into 'Google' Polylines
Description: Encodes simple feature ('sf') objects and coordinates, and decodes polylines
using the 'Google' polyline encoding algorithm (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>).
Author: David Cooley [aut, cre],
Paulo Barcelos [ctb] (Author of c++ decode_polyline),
Chris Muir [ctb]
Maintainer: David Cooley <dcooley@symbolix.com.au>
Diff between googlePolylines versions 0.8.1 dated 2020-11-01 and 0.8.2 dated 2020-12-15
DESCRIPTION | 13 ++++----- MD5 | 12 ++++---- NEWS.md | 5 +++ build/vignette.rds |binary inst/doc/sfencode.html | 70 ++++++++++++++++++++++++++++++++++++++++++++++--- src/Makevars | 2 - src/Makevars.win | 2 - 7 files changed, 86 insertions(+), 18 deletions(-)
More information about googlePolylines at CRAN
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Title: Sample Selection Models
Description: Two-step
and maximum likelihood estimation
of Heckman-type sample selection models:
standard sample selection models (Tobit-2),
endogenous switching regression models (Tobit-5),
sample selection models with binary dependent outcome variable,
interval regression with sample selection (only ML estimation),
and endogenous treatment effects models.
These methods are described in the three vignettes
that are included in this package
and in econometric textbooks such as
Greene (2011, Econometric Analysis, 7th edition, Pearson).
Author: Arne Henningsen [aut, cre],
Ott Toomet [aut],
Sebastian Petersen [ctb]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>
Diff between sampleSelection versions 1.2-10 dated 2020-11-04 and 1.2-12 dated 2020-12-15
DESCRIPTION | 8 ++-- MD5 | 20 +++++----- inst/doc/intReg.pdf |binary inst/doc/selection.pdf |binary inst/doc/treatReg.pdf |binary tests/Mroz87SelectionTest.Rout.save | 14 +++---- tests/binarySelectionOutcome.Rout.save | 4 +- tests/intervalTest.Rout.save | 14 +++---- tests/probit.Rout.save | 20 +++++----- tests/selection.R | 48 +++++++++++++------------ tests/selection.Rout.save | 62 +++++++++++++++++---------------- 11 files changed, 97 insertions(+), 93 deletions(-)
More information about sampleSelection at CRAN
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Title: Unidimensional Item Response Theory Modeling
Description: Fit unidimensional item response theory (IRT) models to a mixture
of dichotomous and polytomous data, calibrate online item parameters
(i.e., pretest and operational items), estimate examinees abilities,
and examine the IRT model-data fit on item-level in different ways
as well as provide useful functions related to unidimensional IRT models.
For the item parameter estimation, marginal maximum likelihood estimation
with expectation-maximization (MMLE-EM) algorithm
(Bock & Aitkin (1981) <doi:10.1007/BF02294168>) is used.
For the online calibration, Stocking's Method A
(Ban, Hanson, Wang, Yi, & Harris (2011) <doi:10.1111/j.1745-3984.2001.tb01123.x>)
and the fixed item parameter calibration (FIPC) method
(Kim (2006) <doi:10.1111/j.1745-3984.2006.00021.x>) are provided.
For the ability estimation, several popular scoring methods
(e.g., MLE, EAP, and MAP) are implemented. In terms of assessing the IRT
model-data fit, one of distinguished features of this package is that it
gives not only well-known item fit statistics (e.g., chi-square (X2),
likelihood ratio chi-square (G2), infit and oufit statistics, and
S-X2 statistic (Ames & Penfield (2015) <doi:10.1111/emip.12067>))
but also graphical displays to look at residuals between the observed
data and model-based predictions
(Hambleton, Swaminathan, & Rogers (1991, ISBN:9780803936478)).
In addition, there are many useful functions such as computing asymptotic
variance-covariance matrices of item parameter estimates (Li & Lissitz (2004)
<doi:10.1111/j.1745-3984.2004.tb01109.x>), importing item and/or ability
parameters from popular IRT software, running 'flexMIRT' (Cai, 2017)
through R, generating simulated data, computing the conditional
distribution of observed scores using the Lord-Wingersky recursion
formula (Lord & Wingersky (1984) <doi:10.1177/014662168400800409>),
computing the loglikelihood of individual items, computing the loglikelihood
of abilities, computing item and test information functions, computing item
and test characteristic curve functions, and plotting item and test
characteristic curves and item and test information functions.
Author: Hwanggyu Lim [aut, cre],
Craig S. Wells [ctb]
Maintainer: Hwanggyu Lim <hglim83@gmail.com>
Diff between irtplay versions 1.6.1 dated 2020-08-13 and 1.6.2 dated 2020-12-15
DESCRIPTION | 8 MD5 | 104 ++++---- NAMESPACE | 5 NEWS.md | 17 + R/back2df.R | 2 R/bring_output.R | 600 ++++++++++++++++++++++++++++++++++++++++++++++--- R/covirt.R | 38 +-- R/eap_sum.R | 6 R/est_irt.R | 177 ++++++++------ R/est_item.R | 55 ++-- R/est_score.R | 54 ++-- R/getirt.R | 22 - R/inv_tcc.R | 12 R/irtfit.R | 83 +++--- R/irtmodel.R | 14 - R/irtplay-package.R | 101 ++++---- R/itemfit.R | 74 +++--- R/loglike_item.R | 10 R/loglike_score.R | 20 - R/lwrc.R | 32 +- R/plot_info.R | 2 R/plot_traceline.R | 2 R/post_den.R | 10 R/se_tcc.R | 14 - R/shape_df.R | 26 +- R/simdat.R | 45 +-- R/sx2_fit.R | 22 - R/test_info.R | 49 +--- R/trace.R | 14 - R/util.R | 27 ++ R/write_flexmirt.R | 16 - README.md | 63 ++--- man/bring.flexmirt.Rd | 21 + man/covirt.Rd | 25 +- man/est_irt.Rd | 101 ++++---- man/est_item.Rd | 28 +- man/est_score.Rd | 22 - man/getirt.Rd | 22 - man/irtfit.Rd | 49 +--- man/irtplay-package.Rd | 99 ++++---- man/llike_item.Rd | 6 man/llike_score.Rd | 10 man/lwrc.Rd | 32 +- man/plm.Rd | 14 - man/plot.test.info.Rd | 2 man/plot.traceline.Rd | 2 man/post_den.Rd | 8 man/shape_df.Rd | 20 - man/simdat.Rd | 45 +-- man/sx2_fit.Rd | 14 - man/test.info.Rd | 47 +-- man/traceline.Rd | 8 man/write.flexmirt.Rd | 14 - 53 files changed, 1487 insertions(+), 826 deletions(-)
Title: Random Cluster Generation (with Specified Degree of Separation)
Description: We developed the clusterGeneration package to provide functions
for generating random clusters, generating random
covariance/correlation matrices,
calculating a separation index (data and population version)
for pairs of clusters or cluster distributions, and 1-D and 2-D
projection plots to visualize clusters. The package also
contains a function to generate random clusters based on
factorial designs with factors such as degree of separation,
number of clusters, number of variables, number of noisy
variables.
Author: Weiliang Qiu <stwxq@channing.harvard.edu>, Harry Joe
<harry@stat.ubc.ca>.
Maintainer: Weiliang Qiu <weiliang.qiu@gmail.com>
Diff between clusterGeneration versions 1.3.6 dated 2020-11-22 and 1.3.7 dated 2020-12-15
DESCRIPTION | 8 ++++---- MD5 | 7 ++++--- NAMESPACE | 1 + NEWS | 3 +++ man/genOrthogonal.Rd |only 5 files changed, 12 insertions(+), 7 deletions(-)
More information about clusterGeneration at CRAN
Permanent link
Title: Download and Tidy Time Series Data from the Australian Bureau of
Statistics
Description: Downloads, imports, and tidies time series data from the
Australian Bureau of Statistics <https://www.abs.gov.au/>.
Author: Matt Cowgill [aut, cre],
Zoe Meers [aut],
Jaron Lee [aut],
David Diviny [aut],
Hugh Parsonage [ctb]
Maintainer: Matt Cowgill <mattcowgill@gmail.com>
Diff between readabs versions 0.4.6 dated 2020-11-20 and 0.4.6.900 dated 2020-12-15
DESCRIPTION | 14 - MD5 | 46 ++-- NAMESPACE | 7 NEWS.md | 3 R/check_abs_connection.R | 3 R/download_abs.R | 6 R/download_data_cube.r | 6 R/extract_abs_sheets.R | 1 R/get_abs_xml_metadata.R | 4 R/get_available_files.r | 12 - R/read_abs.R | 2 R/read_abs_local.R | 2 R/read_abs_sdmx.R | 1 R/read_awe.R | 4 R/scrape_abs_catalogues.r | 24 +- R/separate_series.R | 9 R/sysdata.rda |binary R/utils.R |only README.md | 50 ++--- inst/doc/readabs_vignette.html | 237 ------------------------- man/fast_str_squish.Rd |only man/figures/README-all-in-one-example-1.png |binary man/separate_series.Rd | 2 tests/testthat/test-individual-readabs-steps.R | 3 tests/testthat/test-readabs.R | 1 25 files changed, 100 insertions(+), 337 deletions(-)
Title: Additional Tools for Splitting and Cleaning Data
Description: Move between data frames and lists more efficiently with precision
splitting via 'dplyr' verbs. Easily cast variables to different data types. Keep
rows with NAs. Shift row values.
Author: David Ranzolin [aut, cre, cph]
Maintainer: David Ranzolin <daranzolin@gmail.com>
Diff between hacksaw versions 0.0.1 dated 2020-07-18 and 0.0.2 dated 2020-12-15
DESCRIPTION | 6 - MD5 | 18 ++--- NAMESPACE | 2 NEWS.md | 4 + R/casting.R | 6 + R/keep_na.R | 11 ++- R/splits.R | 29 ++++++++- README.md | 177 +++++++++++++++++++++++++++++++++++++++---------------- man/keep_na.Rd | 4 - man/split-ops.Rd | 8 ++ 10 files changed, 196 insertions(+), 69 deletions(-)