Title: Reproducible Research with a Table of R Codes
Description: Makes documents containing plots and tables from a table of R codes.
Can make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents with or without R code.
In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>
Diff between rrtable versions 0.2.1 dated 2020-04-02 and 0.3.0 dated 2022-04-04
DESCRIPTION | 10 - MD5 | 149 +++++++++---------- NAMESPACE | 10 + NEWS.md | 63 ++++++++ R/add_2ggplots.R | 70 +++++---- R/add_2plots.R | 15 - R/add_Rcode.R | 69 ++++----- R/add_flextable.R | 4 R/add_ggplot.R | 9 - R/add_plot.R | 9 - R/chooserEx.R | 2 R/code2pptx.R | 11 + R/data2HTML.R | 69 ++++++--- R/data2office.R | 230 +++++++++++++++++------------- R/data2pdf.R | 4 R/data2plotzip.R | 77 +++++----- R/df2flextable.R | 10 - R/image2pptx.R | 15 + R/myFlextable.R |only R/mytable2flextable.R | 53 ++++-- R/plot2pptx.R | 48 +++--- R/table2office.R | 25 ++- README.md | 2 build/vignette.rds |binary data/sampleData2.rda |binary inst/doc/Update.html | 118 ++++++++++----- inst/doc/rrtable.html | 283 ++++++++++++++++++++++++++----------- inst/doc_examples/Report.pptx |binary inst/doc_examples/sampleData2.docx |binary inst/doc_examples/sampleData2.pdf |binary inst/doc_examples/sampleData2.pptx |binary inst/doc_examples/sampleData3.docx |binary inst/doc_examples/sampleData3.pdf |binary inst/doc_examples/sampleData3.pptx |binary man/Rcode2df.Rd | 4 man/Rcode2df2.Rd | 4 man/Rcode2docx.Rd | 2 man/Rcode2flextable.Rd | 4 man/Rcode2office.Rd | 2 man/Rcode2pptx.Rd | 2 man/add_2flextables.Rd | 2 man/add_2ggplots.Rd | 14 - man/add_2plots.Rd | 3 man/add_Rcode.Rd | 4 man/add_anyplot.Rd | 3 man/add_flextable.Rd | 2 man/add_ggplot.Rd | 4 man/add_plot.Rd | 4 man/add_text.Rd | 3 man/as.mynumeric.Rd |only man/chooserInput.Rd | 2 man/code2docx.Rd | 2 man/code2office.Rd | 2 man/code2pptx.Rd | 2 man/data2HTML.Rd | 7 man/data2docx.Rd | 2 man/data2office.Rd | 5 man/data2pdf.Rd | 2 man/data2plotzip.Rd | 7 man/data2pptx.Rd | 2 man/data2pptx2.Rd | 4 man/df2flextable.Rd | 7 man/image2docx.Rd | 2 man/image2office.Rd | 2 man/image2pptx.Rd | 2 man/is_ggplot.Rd | 4 man/is_ggsurvplot.Rd | 4 man/myFlextable.Rd |only man/myplot2.Rd | 3 man/mytable2flextable.Rd | 2 man/plot2docx.Rd | 2 man/plot2office.Rd | 7 man/plot2pptx.Rd | 2 man/plotPNG2.Rd | 5 man/table2docx.Rd | 2 man/table2office.Rd | 3 man/table2pptx.Rd | 2 77 files changed, 921 insertions(+), 577 deletions(-)
Title: 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides
many desirable features. This package bundles these header files for easy use by R packages
via a simple 'LinkingTo:' inclusion.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppSpdlog versions 0.0.7 dated 2021-12-05 and 0.0.8 dated 2022-04-04
ChangeLog | 6 DESCRIPTION | 8 MD5 | 131 +- build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.Rd | 6 inst/doc/introduction.html | 913 ++++++++-------- inst/include/spdlog/async.h | 20 inst/include/spdlog/async_logger-inl.h | 4 inst/include/spdlog/common-inl.h | 4 inst/include/spdlog/common.h | 119 +- inst/include/spdlog/details/file_helper-inl.h | 27 inst/include/spdlog/details/file_helper.h | 4 inst/include/spdlog/details/fmt_helper.h | 60 - inst/include/spdlog/details/mpmc_blocking_q.h | 4 inst/include/spdlog/details/os-inl.h | 35 inst/include/spdlog/details/os.h | 4 inst/include/spdlog/details/synchronous_factory.h | 2 inst/include/spdlog/details/tcp_client-windows.h | 41 inst/include/spdlog/details/tcp_client.h | 3 inst/include/spdlog/details/thread_pool-inl.h | 13 inst/include/spdlog/details/thread_pool.h | 3 inst/include/spdlog/details/udp_client-windows.h |only inst/include/spdlog/details/udp_client.h |only inst/include/spdlog/fmt/bin_to_hex.h | 63 - inst/include/spdlog/fmt/bundled/args.h | 2 inst/include/spdlog/fmt/bundled/chrono.h | 1181 +++++++++++++++++---- inst/include/spdlog/fmt/bundled/color.h | 35 inst/include/spdlog/fmt/bundled/compile.h | 25 inst/include/spdlog/fmt/bundled/core.h | 754 ++++++++----- inst/include/spdlog/fmt/bundled/fmt.license.rst |only inst/include/spdlog/fmt/bundled/format-inl.h | 549 +++++---- inst/include/spdlog/fmt/bundled/format.h | 904 ++++++++++------ inst/include/spdlog/fmt/bundled/os.h | 48 inst/include/spdlog/fmt/bundled/ostream.h | 108 - inst/include/spdlog/fmt/bundled/printf.h | 19 inst/include/spdlog/fmt/bundled/ranges.h | 547 +++++++-- inst/include/spdlog/fmt/bundled/xchar.h | 10 inst/include/spdlog/fmt/chrono.h | 16 inst/include/spdlog/fmt/compile.h | 18 inst/include/spdlog/fmt/fmt.h | 4 inst/include/spdlog/fmt/ostr.h | 16 inst/include/spdlog/fmt/ranges.h |only inst/include/spdlog/fmt/xchar.h | 18 inst/include/spdlog/fwd.h | 4 inst/include/spdlog/logger-inl.h | 4 inst/include/spdlog/logger.h | 118 +- inst/include/spdlog/pattern_formatter-inl.h | 40 inst/include/spdlog/pattern_formatter.h | 5 inst/include/spdlog/sinks/ansicolor_sink-inl.h | 4 inst/include/spdlog/sinks/base_sink.h | 4 inst/include/spdlog/sinks/basic_file_sink-inl.h | 3 inst/include/spdlog/sinks/basic_file_sink.h | 12 inst/include/spdlog/sinks/daily_file_sink.h | 84 + inst/include/spdlog/sinks/hourly_file_sink.h | 18 inst/include/spdlog/sinks/mongo_sink.h | 1 inst/include/spdlog/sinks/msvc_sink.h | 4 inst/include/spdlog/sinks/qt_sinks.h | 83 - inst/include/spdlog/sinks/ringbuffer_sink.h | 4 inst/include/spdlog/sinks/rotating_file_sink-inl.h | 33 inst/include/spdlog/sinks/rotating_file_sink.h | 17 inst/include/spdlog/sinks/stdout_sinks-inl.h | 6 inst/include/spdlog/sinks/systemd_sink.h | 44 inst/include/spdlog/sinks/udp_sink.h |only inst/include/spdlog/sinks/win_eventlog_sink.h | 33 inst/include/spdlog/spdlog.h | 34 inst/include/spdlog/stopwatch.h | 13 inst/include/spdlog/tweakme.h | 16 inst/include/spdlog/version.h | 4 69 files changed, 4187 insertions(+), 2125 deletions(-)
Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra
Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad
Sanderson) that aims towards a good balance between speed and ease of
use. Integer, floating point and complex numbers are supported, as
well as a subset of trigonometric and statistics functions. Various
matrix decompositions are provided through optional integration with
LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the
header files from the templated 'Armadillo' library. Thus users do
not need to install 'Armadillo' itself in order to use
'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed
under Apache License 2; previous releases were under licensed as MPL
2.0 from version 3.800.0 onwards and LGPL-3 prior to that;
'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed
under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Armadillo requires a C++11 compiler.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppArmadillo versions 0.10.8.1.0 dated 2022-01-24 and 0.11.0.0.0 dated 2022-04-04
RcppArmadillo-0.10.8.1.0/RcppArmadillo/inst/include/armadillo_bits/arma_rng_cxx11.hpp |only RcppArmadillo-0.10.8.1.0/RcppArmadillo/inst/include/armadillo_bits/arma_rng_cxx98.hpp |only RcppArmadillo-0.10.8.1.0/RcppArmadillo/inst/include/armadillo_bits/include_atlas.hpp |only RcppArmadillo-0.10.8.1.0/RcppArmadillo/inst/include/armadillo_bits/op_inv_bones.hpp |only RcppArmadillo-0.10.8.1.0/RcppArmadillo/inst/include/armadillo_bits/op_inv_meat.hpp |only RcppArmadillo-0.11.0.0.0/RcppArmadillo/ChangeLog | 55 RcppArmadillo-0.11.0.0.0/RcppArmadillo/DESCRIPTION | 8 RcppArmadillo-0.11.0.0.0/RcppArmadillo/MD5 | 211 - RcppArmadillo-0.11.0.0.0/RcppArmadillo/build/partial.rdb |binary RcppArmadillo-0.11.0.0.0/RcppArmadillo/build/vignette.rds |binary RcppArmadillo-0.11.0.0.0/RcppArmadillo/configure | 18 RcppArmadillo-0.11.0.0.0/RcppArmadillo/configure.ac | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/NEWS.Rd | 40 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/doc/RcppArmadillo-intro.pdf |binary RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/doc/RcppArmadillo-sparseMatrix.pdf |binary RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/RcppArmadilloWrap.h | 6 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo | 17 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Base_bones.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Base_meat.hpp | 4 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Col_bones.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Col_meat.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Cube_bones.hpp | 17 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Cube_meat.hpp | 81 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Mat_bones.hpp | 17 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Mat_meat.hpp | 77 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Row_bones.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/Row_meat.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/SpCol_bones.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/SpCol_meat.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/SpMat_bones.hpp | 15 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/SpMat_meat.hpp | 43 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/SpRow_bones.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/SpRow_meat.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/arma_config.hpp | 34 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/arma_forward.hpp | 6 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/arma_rng.hpp | 30 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/arma_rng_cxx03.hpp |only RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/arma_version.hpp | 8 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/arrayops_meat.hpp | 11 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/auxlib_bones.hpp | 21 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/auxlib_meat.hpp | 1089 +++------- RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/compiler_setup.hpp | 10 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/config.hpp | 50 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/debug.hpp | 98 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/def_arpack.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/def_atlas.hpp | 165 - RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/def_blas.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/def_lapack.hpp | 16 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/field_bones.hpp | 14 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/field_meat.hpp | 58 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_as_scalar.hpp | 6 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_eig_sym.hpp | 7 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_inv.hpp | 49 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_inv_sympd.hpp |only RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_randperm.hpp | 1 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_solve.hpp | 58 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/fn_spsolve.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_mvnrnd_meat.hpp | 6 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_quantile_meat.hpp | 4 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_solve_bones.hpp | 29 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_solve_meat.hpp | 161 - RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/glue_times_meat.hpp | 150 - RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/mul_gemm.hpp | 8 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/mul_gemv.hpp | 14 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/mul_herk.hpp | 8 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/mul_syrk.hpp | 8 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_GenEigsSolver_bones.hpp | 44 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_GenEigsSolver_meat.hpp | 46 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_SymEigsSolver_bones.hpp | 45 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_SymEigsSolver_meat.hpp | 79 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_TridiagEigen_meat.hpp | 45 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_UpperHessenbergEigen_bones.hpp | 20 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/newarp_UpperHessenbergEigen_meat.hpp | 71 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_chol_meat.hpp | 13 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_cond_meat.hpp | 43 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_det_bones.hpp | 8 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_det_meat.hpp | 206 + RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_dot_meat.hpp | 6 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_expmat_meat.hpp | 174 - RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_inv_gen_bones.hpp |only RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_inv_gen_meat.hpp |only RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_inv_spd_bones.hpp |only RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_inv_spd_meat.hpp |only RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_log_det_meat.hpp | 58 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_logmat_meat.hpp | 51 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_median_bones.hpp | 14 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_median_meat.hpp | 281 -- RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_pinv_bones.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_pinv_meat.hpp | 171 - RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_powmat_meat.hpp | 10 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_rank_meat.hpp | 24 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_shuffle_meat.hpp | 6 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/op_sqrtmat_meat.hpp | 48 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/sp_auxlib_meat.hpp | 100 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/spglue_max_meat.hpp | 4 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/spglue_min_meat.hpp | 4 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/strip.hpp | 20 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/sympd_helper.hpp | 36 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/traits.hpp | 41 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/translate_arpack.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/translate_atlas.hpp | 269 -- RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/translate_blas.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/translate_lapack.hpp | 14 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/trimat_helper.hpp | 52 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/include/armadillo_bits/typedef_elem.hpp | 2 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/tinytest/cpp/armadillo.cpp | 12 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/tinytest/cpp/fields.cpp | 12 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/tinytest/test_Rlapack.R | 7 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/tinytest/test_fields.R | 29 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/tinytest/test_rcpparmadillo.R | 10 RcppArmadillo-0.11.0.0.0/RcppArmadillo/inst/tinytest/test_scipy2r.R | 5 RcppArmadillo-0.11.0.0.0/RcppArmadillo/tests/tinytest.R | 15 112 files changed, 2483 insertions(+), 2372 deletions(-)
Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>
Diff between NNS versions 0.8.5 dated 2022-03-08 and 0.8.61 dated 2022-04-04
DESCRIPTION | 8 - MD5 | 73 +++++++++--------- R/Copula.R | 13 ++- R/Dependence.R | 50 ++++++------ R/Dependence_matrix.R | 71 ++++++++--------- R/FSD.R | 2 R/Internal_Functions.R | 4 R/Multivariate_Regression.R | 2 R/NNS_VAR.R | 2 R/Nowcast.R | 2 R/Partial_Moments.R | 63 +++++++++++---- R/Regression.R | 4 R/SD_Efficient_Set.R | 2 R/SSD.R | 2 R/TSD.R | 2 R/Uni_Causation.R | 5 - R/Uni_SD_Routines.R | 6 - README.md | 8 - build/partial.rdb |only inst/doc/NNSvignette_Correlation_and_Dependence.R | 10 +- inst/doc/NNSvignette_Correlation_and_Dependence.Rmd | 10 +- inst/doc/NNSvignette_Correlation_and_Dependence.html | 6 - inst/doc/NNSvignette_Partial_Moments.R | 7 + inst/doc/NNSvignette_Partial_Moments.Rmd | 7 + inst/doc/NNSvignette_Partial_Moments.html | 77 ++++++++++--------- man/NNS.FSD.Rd | 2 man/NNS.FSD.uni.Rd | 2 man/NNS.SD.efficient.set.Rd | 2 man/NNS.SSD.Rd | 2 man/NNS.SSD.uni.Rd | 2 man/NNS.TSD.Rd | 2 man/NNS.TSD.uni.Rd | 2 man/NNS.VAR.Rd | 2 man/NNS.copula.Rd | 18 +++- man/NNS.nowcast.Rd | 2 man/PM.matrix.Rd | 17 +++- vignettes/NNSvignette_Correlation_and_Dependence.Rmd | 10 +- vignettes/NNSvignette_Partial_Moments.Rmd | 7 + 38 files changed, 289 insertions(+), 217 deletions(-)
Title: Bias Correction via Iterative Bootstrap
Description: An implementation of the iterative bootstrap procedure of
Kuk (1995) <doi:10.1111/j.2517-6161.1995.tb02035.x> to correct the estimation bias of a fitted model object. This
procedure has better bias correction properties than the
bootstrap bias correction technique.
Author: Samuel Orso [aut, cre],
Stephane Guerrier [ctb],
Yuming Zhang [ctb]
Maintainer: Samuel Orso <Samuel.Orso@unige.ch>
Diff between ib versions 0.1.0 dated 2020-12-16 and 0.2.0 dated 2022-04-04
ib-0.1.0/ib/inst/examples/eg_bootstrap.R |only ib-0.2.0/ib/DESCRIPTION | 22 ++-- ib-0.2.0/ib/MD5 | 63 ++++++++----- ib-0.2.0/ib/NAMESPACE | 13 ++ ib-0.2.0/ib/NEWS.md | 12 ++ ib-0.2.0/ib/R/AllClass.R | 34 +++++-- ib-0.2.0/ib/R/AllGeneric.R | 61 ++++++++++++ ib-0.2.0/ib/R/bootstrap.R | 1 ib-0.2.0/ib/R/ib.R | 38 +++++--- ib-0.2.0/ib/R/ib_betareg.R |only ib-0.2.0/ib/R/ib_glm.R | 127 ++++++++++++++++++++++----- ib-0.2.0/ib/R/ib_lm.R | 48 ++++++++-- ib-0.2.0/ib/R/ib_lmer.R | 43 +++++++-- ib-0.2.0/ib/R/ib_nls.R | 45 +++++++-- ib-0.2.0/ib/R/ib_vglm.R | 48 ++++++++-- ib-0.2.0/ib/R/simulation.R | 4 ib-0.2.0/ib/R/summary.R | 24 ++++- ib-0.2.0/ib/build/partial.rdb |binary ib-0.2.0/ib/inst/examples/eg_betareg.R |only ib-0.2.0/ib/inst/examples/eg_lm.R | 2 ib-0.2.0/ib/inst/examples/eg_simulation.R |only ib-0.2.0/ib/man/Ib-class.Rd | 19 +++- ib-0.2.0/ib/man/SummaryIb-class.Rd | 7 + ib-0.2.0/ib/man/bootstrap.Rd | 11 -- ib-0.2.0/ib/man/getEst.Rd | 8 + ib-0.2.0/ib/man/getExtra.Rd | 14 ++ ib-0.2.0/ib/man/getIteration.Rd |only ib-0.2.0/ib/man/ib.Rd | 41 +++++++- ib-0.2.0/ib/man/ibControl.Rd | 21 ++++ ib-0.2.0/ib/man/simulation-betareg-method.Rd |only ib-0.2.0/ib/man/simulation-glm-method.Rd |only ib-0.2.0/ib/man/simulation-lm-method.Rd |only ib-0.2.0/ib/man/simulation-lmerMod-method.Rd |only ib-0.2.0/ib/man/simulation-negbin-method.Rd |only ib-0.2.0/ib/man/simulation-nls-method.Rd |only ib-0.2.0/ib/man/simulation-vglm-method.Rd |only ib-0.2.0/ib/man/simulation.Rd |only ib-0.2.0/ib/man/summary-IbBetareg-method.Rd |only ib-0.2.0/ib/tests |only 39 files changed, 565 insertions(+), 141 deletions(-)
Title: Blazing Fast Morphological Analyzer Based on Kiwi(Korean
Intelligent Word Identifier)
Description: This is the R wrapper package Kiwi(Korean Intelligent Word Identifier),
a blazing fast speed morphological analyzer for Korean.
It supports configuration of user dictionary and detection of
unregistered nouns based on frequency.
Author: Chanyub Park [aut, cre]
Maintainer: Chanyub Park <mrchypark@gmail.com>
Diff between elbird versions 0.1.1 dated 2022-03-31 and 0.1.3 dated 2022-04-04
DESCRIPTION | 16 ++++--- MD5 | 22 +++++----- NEWS.md | 10 ++++ R/cpp11.R | 4 - R/dictionary.R | 34 +++++++-------- R/elbird-package.R | 20 ++++----- R/wrapper.R | 70 +++++++++++++++---------------- README.md | 46 ++++++++++---------- configure | 90 ++++++++++++++++++++--------------------- src/cpp11.cpp | 42 +++++++------------ src/kiwi_bind.cpp | 58 ++++++++++---------------- tests/testthat/test-tokenize.R | 42 +++++++++---------- 12 files changed, 222 insertions(+), 232 deletions(-)
Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational
assessment) for datasets with replication designs (jackknife,
bootstrap, replicate weights; see Kolenikov, 2010;
Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>,
<doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996,
<doi:10.1080/02331889708802523>).
Descriptive statistics, linear and logistic regression,
path models for manifest variables with measurement error
correction and two-level hierarchical regressions for weighted
samples are included. Statistical inference can be conducted for
multiply imputed datasets and nested multiply imputed datasets
and is in particularly suited for the analysis of plausible values
(for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016;
Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham &
Yanagida, 2016). The package development was supported by BIFIE
(Federal Institute for Educational Research, Innovation and Development
of the Austrian School System; Salzburg, Austria).
Author: BIFIE [aut], Alexander Robitzsch [aut, cre],
Konrad Oberwimmer [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between BIFIEsurvey versions 3.3-12 dated 2019-06-12 and 3.4-15 dated 2022-04-04
DESCRIPTION | 22 +++----- MD5 | 64 ++++++++++++------------- R/BIFIE.data.R | 2 R/BIFIE.lavaan.survey.R | 8 +-- R/BIFIE.progressbar.R | 17 ++---- R/BIFIE.summary.R | 6 +- R/BIFIE.survey.R | 14 ++--- R/BIFIE.waldtest.R | 4 - R/BIFIE_data_pv_vars_create_datlist.R | 7 +- R/BIFIE_lavaan_survey_extract_dataset.R | 6 +- R/RcppExports.R | 2 R/extract.replicated.pars.R | 79 ++++++++++++++++---------------- R/svrepdesign2BIFIEdata.R | 6 +- R/svrepdesign2datalist.R | 6 +- R/vcov.BIFIE.survey.R | 13 ++--- README.md | 2 build/partial.rdb |binary data/data.bifie01.rda |binary data/data.pisaNLD.rda |binary data/data.test1.rda |binary data/data.timss1.ind.rda |binary data/data.timss1.rda |binary data/data.timss2.rda |binary data/data.timss3.rda |binary data/data.timss4.rda |binary data/data.timssrep.rda |binary inst/NEWS | 14 +++++ man/BIFIE.data.jack.Rd | 4 - man/BIFIEsurvey-package.Rd | 7 +- man/data.pisaNLD.Rd | 11 ++-- src/RcppExports.cpp | 7 ++ src/bifiesurvey_rcpp_helper.cpp | 18 +++---- src/bifiesurvey_rcpp_logistreg.cpp | 19 +++++-- 33 files changed, 177 insertions(+), 161 deletions(-)
Title: Sentiment Analysis for Text and Qualitative Data
Description: Implements sentiment analysis using huggingface <https://huggingface.co> transformer zero-shot classification model pipelines. The default pipeline is Cross-Encoder's DistilRoBERTa <https://huggingface.co/cross-encoder/nli-distilroberta-base> trained on the Stanford Natural Language Inference <https://nlp.stanford.edu/projects/snli/> and Multi-Genre Natural Language Inference <https://huggingface.co/datasets/multi_nli> datasets. Using similar models, zero-shot classification transformers have demonstrated superior performance relative to other natural language processing models <arXiv:1909.00161>. All other zero-shot classification model pipelines can be implemented using their model name from <https://huggingface.co/models?pipeline_tag=zero-shot-classification>}.
Author: Alexander Christensen [aut, cre]
,
Hudson Golino [aut]
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>
Diff between transforEmotion versions 0.0.1 dated 2022-03-01 and 0.1.0 dated 2022-04-04
DESCRIPTION | 14 +- MD5 | 40 +++++-- NAMESPACE | 19 ++- NEWS | 17 +++ R/emotions.R |only R/emoxicon_scores.R |only R/nlp_scores.R |only R/punctuate.R |only R/stop_words.R |only R/tinytrolls.R |only R/transforEmotion.R |only R/transformer_scores.R | 220 +++++++++++++++++++++++++++++++++++------ R/utils-transforEmotion.R |only R/zzz.R |only build/vignette.rds |binary data/datalist |only data/emotions.rda |only data/stop_words.RData |only data/tinytrolls.rda |only inst/doc/Python_Setup.R | 61 ++++++++--- inst/doc/Python_Setup.Rmd | 77 ++++++++++---- inst/doc/Python_Setup.pdf |binary man/emotions.Rd |only man/emoxicon_scores.Rd |only man/nlp_scores.Rd |only man/punctuate.Rd |only man/stop_words.Rd |only man/tinytrolls.Rd |only man/transforEmotion-package.Rd |only man/transformer_scores.Rd | 98 ++++++++++++++++-- vignettes/Python_Setup.Rmd | 77 ++++++++++---- 31 files changed, 512 insertions(+), 111 deletions(-)
More information about transforEmotion at CRAN
Permanent link
Title: Semiparametric Elicitation
Description: Implements a method for fitting a bounded probability
distribution to quantiles (for example stated by an expert),
see Bornkamp and Ickstadt (2009) for details. For this
purpose B-splines are used, and the density is obtained by
penalized least squares based on a Brier entropy penalty. The
package provides methods for fitting the distribution as well
as methods for evaluating the underlying density and cdf. In
addition methods for plotting the distribution, drawing random
numbers and calculating quantiles of the obtained distribution
are provided.
Author: Bjoern Bornkamp
Maintainer: Bjoern Bornkamp <bbnkmp@mail.de>
Diff between SEL versions 1.0-2 dated 2010-05-23 and 1.0-3 dated 2022-04-04
DESCRIPTION | 33 +++++++++++++++++---------------- MD5 |only NAMESPACE | 3 +++ R/SEL.R | 4 ++-- src/SEL-init.c |only 5 files changed, 22 insertions(+), 18 deletions(-)
Title: Extraction of Medication Information from Clinical Text
Description: Function and support for medication and dosing information extraction from free-text clinical notes. Medication entities for the basic medExtractR implementation that can be extracted include drug name, strength, dose amount, dose, frequency, intake time, dose change, and time of last dose. The basic medExtractR is outlined in Weeks, Beck, McNeer, Williams, Bejan, Denny, Choi (2020) <doi: 10.1093/jamia/ocz207>. The extended medExtractR_tapering implementation is intended to extract dosing information for more tapering schedules, which are far more complex. The tapering extension allows for the extraction of additional entities including dispense amount, refills, dose schedule, time keyword, transition, and preposition.
Author: Leena Choi [aut, cre] ,
Cole Beck [aut] ,
Hannah Weeks [aut]
Maintainer: Leena Choi <leena.choi@vanderbilt.edu>
Diff between medExtractR versions 0.3 dated 2021-06-06 and 0.4 dated 2022-04-04
medExtractR-0.3/medExtractR/inst/doc/mxr_basic_vignette.pdf |only medExtractR-0.3/medExtractR/inst/doc/mxr_tapering_vignette.pdf |only medExtractR-0.4/medExtractR/DESCRIPTION | 12 medExtractR-0.4/medExtractR/MD5 | 35 - medExtractR-0.4/medExtractR/NAMESPACE | 4 medExtractR-0.4/medExtractR/NEWS.md | 5 medExtractR-0.4/medExtractR/R/extract_entities.R | 51 +- medExtractR-0.4/medExtractR/R/extract_entities_tapering.R | 82 +-- medExtractR-0.4/medExtractR/R/medExtractR-package.R | 2 medExtractR-0.4/medExtractR/R/medExtractR.R | 25 medExtractR-0.4/medExtractR/R/medExtractR_tapering.R | 255 ++++------ medExtractR-0.4/medExtractR/R/string_counts.R |only medExtractR-0.4/medExtractR/R/string_occurs.R |only medExtractR-0.4/medExtractR/R/string_suggestions.R |only medExtractR-0.4/medExtractR/R/string_utils.R |only medExtractR-0.4/medExtractR/build/vignette.rds |binary medExtractR-0.4/medExtractR/inst/doc/mxr_basic_vignette.html |only medExtractR-0.4/medExtractR/inst/doc/mxr_drug_list.R |only medExtractR-0.4/medExtractR/inst/doc/mxr_drug_list.Rmd |only medExtractR-0.4/medExtractR/inst/doc/mxr_drug_list.html |only medExtractR-0.4/medExtractR/inst/doc/mxr_tapering_vignette.html |only medExtractR-0.4/medExtractR/man/string_counts.Rd |only medExtractR-0.4/medExtractR/man/string_occurs.Rd |only medExtractR-0.4/medExtractR/man/string_suggestions.Rd |only medExtractR-0.4/medExtractR/man/strings-internal.Rd |only medExtractR-0.4/medExtractR/vignettes/mxr_drug_list.Rmd |only medExtractR-0.4/medExtractR/vignettes/note_highlight.png |only 27 files changed, 250 insertions(+), 221 deletions(-)
Title: Multiple Choice Test Evaluation
Description: A set of functions designed to quickly generate results of a multiple choice
test. Generates detailed global results, lists for anonymous feedback and
personalised result feedback (in LaTeX and/or PDF format), as well as item
statistics like Cronbach's alpha or disciminatory power. 'klausuR' also
includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for
its basic features. The respective R package 'rkward' cannot be installed
directly from a repository, as it is a part of RKWard. To make full use of this
feature, please install RKWard from <https://rkward.kde.org> (plugins are
detected automatically). Due to some restrictions on CRAN, the full package
sources are only available from the project homepage.
Author: m.eik michalke [aut, cre]
Maintainer: m.eik michalke <meik.michalke@hhu.de>
Diff between klausuR versions 0.12-13 dated 2022-03-01 and 0.12-14 dated 2022-04-04
ChangeLog | 4 ++++ DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- R/klausuR-package.R | 4 ++-- R/klausur.R | 2 +- build/partial.rdb |binary data/antworten.mufo.rda |binary data/antworten.rda |binary inst/CITATION | 4 ++-- man/klausuR-package.Rd | 4 ++-- man/klausur.Rd | 2 +- 11 files changed, 26 insertions(+), 22 deletions(-)
Title: Construction of Crossover Designs
Description: Contains functions for the construction of carryover
balanced crossover designs. In addition contains functions to
check given designs for balance.
Author: Martin Oliver Sailer
Maintainer: Bjoern Bornkamp <bbnkmp@mail.de>
Diff between crossdes versions 1.1-1 dated 2013-03-18 and 1.1-2 dated 2022-04-04
DESCRIPTION | 10 +++++----- MD5 | 4 ++-- NAMESPACE | 3 +++ 3 files changed, 10 insertions(+), 7 deletions(-)
Title: Supplementary Tools for R Packages Developers
Description: Supplementary utils for CRAN maintainers and R packages developers.
Validating the library, packages and lock files.
Exploring a complexity of a specific package like evaluating its size in bytes with all dependencies.
The shiny app complexity could be explored too.
Assessing the life duration of a specific package version.
Checking a CRAN package check page status for any errors and warnings.
Retrieving a DESCRIPTION or NAMESPACE file for any package version.
Comparing DESCRIPTION or NAMESPACE files between different package versions.
Getting a list of all releases for a specific package.
The Bioconductor is partly supported.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>
Diff between pacs versions 0.4.3 dated 2022-03-03 and 0.4.4 dated 2022-04-04
DESCRIPTION | 14 ++-- MD5 | 91 +++++++++++++++------------- NAMESPACE | 2 NEWS.md | 12 +++ R/check.R | 16 ++--- R/comapre.R | 18 ++--- R/deps.R | 124 +++++++++++++++++++++++++++++---------- R/description.R | 6 - R/lifeduration.R | 61 ++++++++++--------- R/namespace.R | 8 +- R/size.R | 4 - R/timemachine.R | 16 ++--- R/utils.R | 24 +++---- R/valid.R | 21 +++--- README.md | 42 +------------ build/vignette.rds |binary inst/doc/GettingStarted.Rmd | 39 +++++++----- inst/doc/GettingStarted.html | 135 +++++++++++++++++++++++++------------------ inst/doc/tinyverse.R |only inst/doc/tinyverse.Rmd |only inst/doc/tinyverse.html |only man/app_deps.Rd | 8 +- man/app_size.Rd | 4 + man/available_packages.Rd | 3 man/bio_releases.Rd | 2 man/checked_packages.Rd | 2 man/cran_flavors.Rd | 2 man/figures |only man/lib_validate.Rd | 10 +-- man/lock_validate.Rd | 2 man/pac_checkpage.Rd | 2 man/pac_checkred.Rd | 6 - man/pac_compare_namespace.Rd | 8 +- man/pac_compare_versions.Rd | 10 +-- man/pac_deps.Rd | 8 +- man/pac_deps_dev.Rd |only man/pac_deps_user.Rd |only man/pac_description.Rd | 6 - man/pac_health.Rd | 20 +++--- man/pac_lifeduration.Rd | 21 +++--- man/pac_namespace.Rd | 8 +- man/pac_size.Rd | 2 man/pac_timemachine.Rd | 15 ++-- man/pac_validate.Rd | 7 +- man/pacs_lifeduration.Rd | 17 +++-- tests/testthat/test-deps.R | 30 ++++++++- tests/testthat/test-size.R | 1 tests/testthat/test-utils.R | 12 +++ vignettes/GettingStarted.Rmd | 39 +++++++----- vignettes/tinyverse.Rmd |only 50 files changed, 513 insertions(+), 365 deletions(-)
Title: Coefficients of Interrater Reliability – Generalized for
Randomly Incomplete Datasets
Description: Provides coefficients of interrater reliability that are generalized to cope with randomly incomplete (i.e. unbalanced) datasets without any imputation of missing values or any (row-wise or column-wise) omissions of actually available data. Applied to complete (balanced) datasets, these generalizations yield the same results as the common procedures, namely the Intraclass Correlation according to McGraw & Wong (1996) \doi{10.1037/1082-989X.1.1.30} and the Coefficient of Concordance according to Kendall & Babington Smith (1939) \doi{10.1214/aoms/1177732186}.
Author: Markus Brueckl [aut, cre], Florian Heuer [aut, trl]
Maintainer: Markus Brueckl <markus.brueckl@tu-berlin.de>
Diff between irrNA versions 0.2.2 dated 2021-04-05 and 0.2.3 dated 2022-04-04
DESCRIPTION | 14 - MD5 | 18 - NEWS.md | 8 R/iccNA.R | 38 ++- R/icc_corr.R | 533 +++++++++++++++++++++++++++---------------------------- R/kendallNA.R | 14 - README.md | 6 man/iccNA.Rd | 18 - man/icc_corr.Rd | 17 - man/kendallNA.Rd | 14 - 10 files changed, 343 insertions(+), 337 deletions(-)
Title: Streamline Data Import, Cleaning and Recoding from 'Excel'
Description: A small group of functions to read in a data dictionary and the
corresponding data table from 'Excel' and to automate the cleaning, re-coding
and creation of simple calculated variables. This package was designed to
be a companion to the macro-enabled 'Excel' template available
on the GitHub site, but works with any similarly-formatted 'Excel' data.
Author: Lisa Avery [aut, cre, cph]
Maintainer: Lisa Avery <lisa.avery@uhn.ca>
Diff between exceldata versions 0.1.1.1 dated 2022-03-10 and 0.1.1.2 dated 2022-04-04
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/main.R | 13 ++++++++----- README.md | 19 +++++++++---------- man/importExcelData.Rd | 7 ++++++- 5 files changed, 30 insertions(+), 23 deletions(-)
Title: Highest Quality GIF Encoder
Description: Multi-threaded GIF encoder written in Rust: <https://gif.ski/>.
Converts images to GIF animations using pngquant's efficient cross-frame
palettes and temporal dithering with thousands of colors per frame.
Author: Jeroen Ooms [aut, cre] ,
Kornel Lesiński [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between gifski versions 1.4.3-1 dated 2021-05-02 and 1.6.6 dated 2022-04-04
DESCRIPTION | 6 MD5 | 18 +- configure | 15 ++ src/Makevars.win | 4 src/Makevars.win.rust | 10 + src/legacy |only src/myrustlib/Cargo.lock | 328 ++++++++++++++++++++++++++++++++++------------- src/myrustlib/Cargo.toml | 3 src/myrustlib/gifski.h | 30 ++++ src/wrapper.c | 9 - 10 files changed, 308 insertions(+), 115 deletions(-)
Title: Chi-Square and G-Square Test of Independence, Residual Analysis,
and Measures of Categorical Association
Description: Provides the facility to perform the chi-square and G-square test of independence, calculates permutation-based p value, and provides measures of association such as Phi, odds ratio with 95 percent CI and p value, adjusted contingency coefficient, Cramer's V and 95 percent CI, bias-corrected Cramer's V, Cohen's w, Goodman-Kruskal's lambda, gamma and its p value, and tau, Cohen's k and its 95 percent CI. It also calculates standardized, moment-corrected standardized, and adjusted standardized residuals, and their significance. Different outputs are returned in nicely formatted tables.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Diff between chisquare versions 0.2 dated 2022-03-20 and 0.3 dated 2022-04-04
DESCRIPTION | 12 +-- MD5 | 10 +- NEWS.md | 23 +----- R/chisquare.R | 195 +++++++++++++++++++++++++++++++++++++++++++++++-------- README.md | 21 +++++ man/chisquare.Rd | 43 ++++++++---- 6 files changed, 234 insertions(+), 70 deletions(-)
Title: Morphometrics using R
Description: The goal of 'Momocs' is to provide a complete, convenient,
reproducible and open-source toolkit for 2D morphometrics.
It includes most common 2D morphometrics approaches on outlines, open outlines,
configurations of landmarks, traditional morphometrics, and facilities for data preparation,
manipulation and visualization with a consistent grammar throughout.
It allows reproducible, complex morphometrics analyses and other morphometrics approaches
should be easy to plug in, or develop from, on top of this canvas.
Author: Vincent Bonhomme [aut, cre],
Julien Claude [aut]
Maintainer: Vincent Bonhomme <bonhomme.vincent@gmail.com>
Diff between Momocs versions 1.3.2 dated 2020-10-06 and 1.4.0 dated 2022-04-04
DESCRIPTION | 10 ++--- MD5 | 78 +++++++++++++++++++++++----------------------- NEWS.md | 16 ++++++++- R/Momocs-package.R | 2 - R/babel-bridges.R | 6 +-- R/cl-def-Ldk.R | 10 ++--- R/cl-def-Opn.R | 16 ++++----- R/cl-def-Out.R | 14 ++++---- R/cl-def-TraCoe.R | 4 +- R/cl-farming.R | 4 +- R/cl-handling.R | 8 ++-- R/cl-helpers.R | 2 - R/coo-shapedescriptors.R | 2 - R/coo-utilities.R | 24 +++++++++----- R/core-calibrate.R | 15 ++++---- R/core-out-efourier.R | 2 - R/gr-Coo.R | 2 - R/gr-LDA.R | 7 +--- R/gr-PCA.R | 8 ++-- R/grindr-layers.R | 35 ++++++++++++++------ R/mult-LDA.R | 8 ++-- R/mult-MSHAPESs.R | 4 +- R/mult-PCA.R | 2 - R/pkg-datasets.R | 7 +--- man/Ldk.Rd | 2 - man/Momocs.Rd | 2 - man/Opn.Rd | 2 - man/OpnCoe.Rd | 2 - man/Out.Rd | 2 - man/OutCoe.Rd | 2 - man/PCA.Rd | 2 - man/TraCoe.Rd | 4 +- man/as_df.Rd | 2 - man/data_apodemus.Rd | 2 - man/data_molars.Rd | 2 - man/data_mosquito.Rd | 1 man/data_wings.Rd | 2 - man/layers.Rd | 2 - man/reexports.Rd | 2 - tests/testthat/test-nse.R | 4 +- 40 files changed, 175 insertions(+), 146 deletions(-)
Title: Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Description: Tools to analyze the embryo growth and the sexualisation thermal reaction norms. See <doi:10.7717/peerj.8451> for tsd functions; see <doi:10.1016/j.jtherbio.2014.08.005> for thermal reaction norm of embryo growth.
Author: Marc Girondot <marc.girondot@gmail.com>
Maintainer: Marc Girondot <marc.girondot@gmail.com>
Diff between embryogrowth versions 8.3-4 dated 2022-02-17 and 8.4 dated 2022-04-04
DESCRIPTION | 8 MD5 | 43 ++-- NEWS | 11 + R/FormatNests.R | 2 R/GRTRN_MHmcmc.R | 2 R/GenerateAnchor.R | 3 R/Generate_hatchling_metric.R | 6 R/HatchingSuccess.MHmcmc.R | 2 R/SSM.R | 32 ++- R/STRN_MHmcmc.R | 2 R/TRN_MHmcmc_p.R | 411 +++++++++++++----------------------------- R/embryogrowth-package.R | 8 R/info.nests.R | 26 +- R/onAttach.R |only R/plot.NestsResult.R | 10 - R/searchR.R | 48 +++- R/tsd_MHmcmc.R | 2 data/DatabaseNestingArea.rda |binary data/DatabaseTSD.rda |binary data/TSP.list.rda |binary data/stages.rda |binary man/embryogrowth-package.Rd | 8 man/searchR.Rd | 36 +++ 23 files changed, 309 insertions(+), 351 deletions(-)
Title: Improving MrP with Ensemble Learning
Description: A tool that improves the prediction performance of multilevel
regression with post-stratification (MrP) by combining a number of machine
learning methods. For information on the method, please refer to Broniecki,
Wüest, Leemann (2020) ''Improving Multilevel Regression with
Post-Stratification Through Machine Learning (autoMrP)'' forthcoming in
'Journal of Politics'. Final pre-print version:
<https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.
Author: Reto Wueest [aut] ,
Lucas Leemann [aut] ,
Philipp Broniecki [aut, cre] ,
Hadley Wickham [ctb]
Maintainer: Philipp Broniecki <philippbroniecki@gmail.com>
Diff between autoMrP versions 1.0.1 dated 2022-02-07 and 1.0.2 dated 2022-04-04
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/utils.R | 4 ---- build/vignette.rds |binary 4 files changed, 6 insertions(+), 10 deletions(-)
Title: Set of Common Tools for Forecast Verification
Description: Set of tools to verify forecasts through the computation of typical
prediction scores against one or more observational datasets or reanalyses (a
reanalysis being a physical extrapolation of observations that relies on the
equations from a model, not a pure observational dataset). Intended for seasonal
to decadal climate forecasts although can be useful to verify other kinds of
forecasts. The package can be helpful in climate sciences for other purposes
than forecasting. To find more details, see the review paper Manubens, N.et al. (2018)
<doi:10.1016/j.envsoft.2018.01.018>.
Author: BSC-CNS [aut, cph],
Virginie Guemas [aut],
Nicolau Manubens [aut],
An-Chi Ho [ctb, cre],
Nuria Perez-Zanon [aut],
Javier Garcia-Serrano [aut],
Neven Fuckar [aut],
Louis-Philippe Caron [aut],
Omar Bellprat [aut],
Luis Rodrigues [aut],
Veronica Torralb [...truncated...]
Maintainer: An-Chi Ho <an.ho@bsc.es>
Diff between s2dverification versions 2.10.1 dated 2022-02-22 and 2.10.2 dated 2022-04-04
DESCRIPTION | 10 +++++----- MD5 | 14 +++++++------- NEWS.md | 3 +++ R/Eno.R | 4 ++-- R/Filter.R | 4 ++-- R/Load.R | 2 +- man/Eno.Rd | 4 ++-- man/Filter.Rd | 4 ++-- 8 files changed, 24 insertions(+), 21 deletions(-)
More information about s2dverification at CRAN
Permanent link
Title: Visualizations for 'mlr3'
Description: Provides visualizations for 'mlr3' objects such as tasks,
predictions, resample results or benchmark results via the autoplot()
generic of 'ggplot2'. The returned 'ggplot' objects are intended to
provide sensible defaults, yet can easily be customized to create
camera-ready figures. Visualizations include barplots, boxplots,
histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] ,
Patrick Schratz [aut] ,
Raphael Sonabend [aut] ,
Marc Becker [aut] ,
Jakob Richter [aut] ,
Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>
Diff between mlr3viz versions 0.5.7 dated 2021-10-14 and 0.5.8 dated 2022-04-04
DESCRIPTION | 74 MD5 | 268 NAMESPACE | 2 R/BenchmarkResult.R | 20 R/Filter.R | 10 R/LearnerClassifCVGlmnet.R | 6 R/LearnerClassifGlmnet.R | 8 R/LearnerClassifRpart.R | 4 R/LearnerClustHierarchical.R | 43 R/LearnerRegrCVGlmnet.R | 6 R/LearnerRegrGlmnet.R | 6 R/LearnerRegrRpart.R | 3 R/OptimInstanceSingleCrit.R | 72 R/PredictionClassif.R | 35 R/PredictionClust.R | 24 R/PredictionRegr.R | 26 R/PredictionSurv.R | 61 R/ResampleResult.R | 48 R/TaskClassif.R | 24 R/TaskClust.R | 6 R/TaskDens.R | 20 R/TaskRegr.R | 12 R/TaskSurv.R | 36 R/TuningInstanceSingleCrit.R | 9 R/helper.R | 5 R/theme-mlr3.R |only README.md | 35 build/partial.rdb |binary man/autoplot.BenchmarkResult.Rd | 7 man/autoplot.Filter.Rd | 7 man/autoplot.LearnerClassifGlmnet.Rd | 7 man/autoplot.LearnerClassifRpart.Rd | 7 man/autoplot.LearnerClustHierarchical.Rd | 27 man/autoplot.OptimInstanceSingleCrit.Rd | 15 man/autoplot.PredictionClassif.Rd | 7 man/autoplot.PredictionClust.Rd | 7 man/autoplot.PredictionRegr.Rd | 7 man/autoplot.PredictionSurv.Rd | 13 man/autoplot.ResampleResult.Rd | 7 man/autoplot.TaskClassif.Rd | 7 man/autoplot.TaskClust.Rd | 7 man/autoplot.TaskDens.Rd | 7 man/autoplot.TaskRegr.Rd | 7 man/autoplot.TaskSurv.Rd | 13 man/autoplot.TuningInstanceSingleCrit.Rd | 7 man/figures/README-demo-1.png |binary man/figures/README-demo-2.png |binary man/figures/README-demo-3.png |binary man/theme_mlr3.Rd |only tests/testthat.R | 9 tests/testthat/_snaps/BenchmarkResult/bmr-boxplot.svg | 249 tests/testthat/_snaps/BenchmarkResult/bmr-holdout-roc.svg | 119 tests/testthat/_snaps/BenchmarkResult/bmr-prc.svg | 135 tests/testthat/_snaps/BenchmarkResult/bmr-roc.svg | 135 tests/testthat/_snaps/Filter/filter-1.svg | 71 tests/testthat/_snaps/Filter/filter-2.svg | 57 tests/testthat/_snaps/LearnerClassifCVGlmnet/learner-classif-cv-glmnet.svg | 800 - 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tests/testthat/_snaps/plot_learner_prediction/learner-prediction-binary-response.svg | 522 - tests/testthat/_snaps/plot_learner_prediction/learner-prediction-categorical.svg | 2107 ++-- tests/testthat/_snaps/plot_learner_prediction/learner-prediction-prob.svg | 438 tests/testthat/_snaps/plot_learner_prediction/learner-prediction-response.svg | 424 tests/testthat/test_LearnerClustHierarchical.R | 5 tests/testthat/test_OptimInstanceSingleCrit.R | 4 tests/testthat/test_PredictionSurv.R | 6 137 files changed, 15457 insertions(+), 13792 deletions(-)
Title: Discrete Event Simulation in R and C++, with Tools for
Cost-Effectiveness Analysis
Description: Discrete event simulation using both R and C++ (Karlsson et al 2016; <doi:10.1109/eScience.2016.7870915>). The C++ code is adapted from the SSIM library <https://www.inf.usi.ch/carzaniga/ssim/>, allowing for both event-oriented and process-oriented simulation. The code includes a SummaryReport class for reporting events and costs by age and other covariates. The C++ code is available as a static library for linking to other packages. A priority queue implementation is given in C++ together with an S3 closure and a reference class implementation. Finally, some tools are provided for cost-effectiveness analysis.
Author: Mark Clements [aut, cre, cph],
Alexandra Jauhiainen [aut],
Andreas Karlsson [aut],
Antonio Carzaniga [cph],
University of Colorado [cph],
Pierre L'Ecuyer [cph]
Maintainer: Mark Clements <mark.clements@ki.se>
Diff between microsimulation versions 1.3.6 dated 2021-11-16 and 1.3.7 dated 2022-04-04
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- src/init.c | 2 +- 3 files changed, 7 insertions(+), 7 deletions(-)
More information about microsimulation at CRAN
Permanent link
Title: R Based Genetic Algorithm
Description: R based genetic algorithm for binary and floating point
chromosomes.
Author: Egon Willighagen and Michel Ballings
Maintainer: Michel Ballings <Michel.Ballings@gmail.com>
Diff between genalg versions 0.2.0 dated 2015-03-16 and 0.2.1 dated 2022-04-04
ChangeLog | 6 +++++- DESCRIPTION | 10 ++++------ MD5 | 6 +++--- NAMESPACE | 8 +++++--- 4 files changed, 17 insertions(+), 13 deletions(-)
Title: Tools to Study Bone Compactness
Description: Bone Profiler is a scientific method and a software used to model
bone section for paleontological and ecological studies. See Girondot and Laurin
2003 <https://www.researchgate.net/publication/280021178_Bone_profiler_A_tool_to_quantify_model_and_statistically_compare_bone-section_compactness_profiles>.
Author: Marc Girondot <marc.girondot@gmail.com>
Maintainer: Marc Girondot <marc.girondot@gmail.com>
Diff between BoneProfileR versions 2.1 dated 2022-03-05 and 2.2 dated 2022-04-04
DESCRIPTION | 8 ++++---- MD5 | 41 +++++++++++++++++++++-------------------- NEWS | 7 ++++++- R/BP_AutoFit.R | 2 +- R/BP_ChooseBackground.R | 2 +- R/BP_ChooseCenter.R | 2 +- R/BP_ChooseForeground.R | 2 +- R/BP_DetectBackground.R | 2 +- R/BP_DetectCenters.R | 2 +- R/BP_DetectForeground.R | 2 +- R/BP_EstimateCompactness.R | 14 +++++++------- R/BP_PlotBone.R | 2 +- R/BP_Report.R | 4 ++-- R/BP_SummaryBone.R | 14 +++++++++++++- R/BoneProfileR-package.R | 11 ++++++++--- R/onAttach.R |only data/Erinaceus_europaeus.rda |binary inst/shiny/ui.R | 2 +- man/BP_AutoFit.Rd | 2 +- man/BP_EstimateCompactness.Rd | 4 ++-- man/BoneProfileR-package.Rd | 12 +++++++++--- man/summary.BoneProfileR.Rd | 4 +++- 22 files changed, 85 insertions(+), 54 deletions(-)
Title: Threshold Independent Performance Measures for Probabilistic
Classifiers
Description: Various functions to compute the area under the curve of selected measures: The area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), and the area under the receiver operating characteristic curve (AUROC). Support for visualization and partial areas is included.
Author: Michel Ballings and Dirk Van den Poel
Maintainer: Michel Ballings <Michel.Ballings@gmail.com>
Diff between AUC versions 0.3.0 dated 2013-09-30 and 0.3.2 dated 2022-04-04
DESCRIPTION | 18 ++++--- MD5 | 20 ++++---- NAMESPACE | 15 +++--- R/auxiliary.R | 132 +++++++++++++++++++++++++++-------------------------- inst/NEWS | 9 +++ man/accuracy.Rd | 86 +++++++++++++++------------------- man/auc.Rd | 100 ++++++++++++++++++---------------------- man/plot.AUC.Rd | 108 +++++++++++++++++++------------------------ man/roc.Rd | 85 +++++++++++++++------------------- man/sensitivity.Rd | 86 +++++++++++++++------------------- man/specificity.Rd | 86 +++++++++++++++------------------- 11 files changed, 355 insertions(+), 390 deletions(-)
Title: Tools for the Analysis of Weak ARMA Models
Description: Numerous time series admit autoregressive moving average (ARMA)
representations, in which the errors are uncorrelated but not necessarily
independent.
These models are called weak ARMA by opposition to the standard ARMA models,
also called strong ARMA models, in which the error terms are supposed to be
independent and identically distributed (iid).
This package allows the study of nonlinear time series models through weak
ARMA representations.
It determines identification, estimation and validation for ARMA models and
for AR and MA models in particular.
Functions can also be used in the strong case.
This package also works on white noises by omitting arguments 'p', 'q', 'ar'
and 'ma'.
See Francq, C. and Zakoïan, J. (1998) <doi:10.1016/S0378-3758(97)00139-0> and
Boubacar Maïnassara, Y. and Saussereau, B. (2018)
<doi:10.1080/01621459.2017.1380030> for more details.
Author: Yacouba Boubacar Maïnassara [aut]
,
Julien Yves Rolland [aut, cre]
,
Coraline Parguey [ctb],
Vincent Mouillot [ctb]
Maintainer: Julien Yves Rolland <julien.rolland@univ-fcomte.fr>
Diff between weakARMA versions 1.0.2 dated 2022-02-07 and 1.0.3 dated 2022-04-04
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- R/SimARMA.R | 3 +-- README.md | 28 ++-------------------------- man/sim.ARMA.Rd | 3 +-- 5 files changed, 13 insertions(+), 39 deletions(-)
Title: A Toolbox for Public Health and Epidemiology
Description: A toolbox for making R functions and capabilities more
accessible to students and professionals from Epidemiology and
Public Health related disciplines. Includes a function to report
coefficients and confidence intervals from models using robust
standard errors (when available), functions that expand 'ggplot2'
plots and functions relevant for introductory papers in Epidemiology
or Public Health. Please note that use of the
provided data sets is for educational purposes only.
Author: Josie Athens [aut, cre],
Frank Harell [ctb],
John Fox [ctb],
R-Core [ctb]
Maintainer: Josie Athens <josie.athens@gmail.com>
Diff between pubh versions 1.2.5 dated 2021-10-11 and 1.2.7 dated 2022-04-04
DESCRIPTION | 8 MD5 | 14 build/vignette.rds |binary inst/doc/introduction.html | 561 +++++++++++++++++++++++++++------- inst/doc/regression.R | 9 inst/doc/regression.Rmd | 16 inst/doc/regression.html | 737 +++++++++++++++++++++++++++++---------------- vignettes/regression.Rmd | 16 8 files changed, 955 insertions(+), 406 deletions(-)
Title: Black-Box Optimization Toolkit
Description: Provides a common framework for optimization of black-box
functions for other packages, e.g. 'mlr3tuning' or 'mlr3fselect'. It
offers various optimization methods e.g. grid search, random search,
generalized simulated annealing and iterated racing.
Author: Marc Becker [cre, aut] ,
Jakob Richter [aut] ,
Michel Lang [aut] ,
Bernd Bischl [aut] ,
Martin Binder [aut],
Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>
Diff between bbotk versions 0.5.1 dated 2022-02-25 and 0.5.2 dated 2022-04-04
DESCRIPTION | 6 MD5 | 106 +++++---- NAMESPACE | 1 NEWS.md | 79 +++---- R/Archive.R | 1 R/OptimInstance.R | 11 - R/Optimizer.R | 78 ++++--- R/OptimizerCmaes.R | 1 R/OptimizerDesignPoints.R | 1 R/OptimizerGenSA.R | 1 R/OptimizerGridSearch.R | 1 R/OptimizerIrace.R | 3 R/OptimizerNLoptr.R | 1 R/OptimizerRandomSearch.R | 1 R/Terminator.R | 128 +++++++---- R/TerminatorClockTime.R | 26 +- R/TerminatorCombo.R | 16 + R/TerminatorEvals.R | 15 + R/TerminatorNone.R | 14 - R/TerminatorPerfReached.R | 18 + R/TerminatorRunTime.R | 23 +- R/TerminatorStagnation.R | 11 - R/TerminatorStagnationBatch.R | 11 - R/assertions.R | 8 R/helper.R | 10 R/mlr_optimizers.R | 43 ++-- R/mlr_terminators.R | 33 ++- build/partial.rdb |binary inst/WORDLIST | 3 inst/doc/bbotk.html | 258 +++++++++++------------- man/Optimizer.Rd | 59 +++-- man/Terminator.Rd | 68 ++++-- man/mlr_optimizers.Rd | 25 +- man/mlr_terminators.Rd | 22 +- man/mlr_terminators_clock_time.Rd | 5 man/mlr_terminators_combo.Rd | 4 man/mlr_terminators_none.Rd | 5 man/mlr_terminators_perf_reached.Rd | 8 man/mlr_terminators_run_time.Rd | 5 tests/testthat/helper.R | 17 + tests/testthat/setup.R | 14 - tests/testthat/teardown.R | 2 tests/testthat/test_OptimInstanceSingleCrit.R | 21 + tests/testthat/test_OptimizerIrace.R | 4 tests/testthat/test_Progressor.R | 17 + tests/testthat/test_TerminatorClockTime.R | 7 tests/testthat/test_TerminatorCombo.R | 5 tests/testthat/test_TerminatorEvals.R | 5 tests/testthat/test_TerminatorNone.R | 6 tests/testthat/test_TerminatorPerfReached.R | 5 tests/testthat/test_TerminatorRunTime.R | 5 tests/testthat/test_TerminatorStagnation.R | 5 tests/testthat/test_TerminatorStagnationBatch.R | 5 tests/testthat/test_mlr_optimizers.R |only tests/testthat/test_mlr_terminators.R |only 55 files changed, 759 insertions(+), 468 deletions(-)
Title: Bayesian Meta-Analysis of Diagnostic Test Data
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>
Diff between bamdit versions 3.3.2 dated 2019-07-09 and 3.4.0 dated 2022-04-04
ChangeLog | 33 +++++++++++++ DESCRIPTION | 24 ++++----- MD5 | 52 ++++++++++----------- NAMESPACE | 54 ++++++++++----------- R/bamdit-package.R | 53 ++++++++++++++++++--- R/metadiag.R | 9 +++ R/plot.metadiag.R | 2 R/plotsesp.R | 2 R/summary.metadiag.R | 118 +++++++++++++++++++++++++++++++++++++++++++++--- data/skin.rda |only man/bamdit-package.Rd | 10 ++-- man/bsroc.Rd | 23 ++++++--- man/ct.Rd | 6 +- man/diabetes.Rd | 10 ++-- man/ep.Rd | 6 +- man/glas.Rd | 6 +- man/gould.Rd | 6 +- man/metadiag.Rd | 37 +++++++++++---- man/mri.Rd | 6 +- man/plot.metadiag.Rd | 22 ++++++-- man/plotcompare.Rd | 15 ++++-- man/plotdata.Rd | 13 ++++- man/plotw.Rd | 7 ++ man/rapt.Rd | 6 +- man/safdar05.Rd | 6 +- man/scheidler.Rd | 6 +- man/skin.Rd |only man/summary.metadiag.Rd | 6 -- 28 files changed, 398 insertions(+), 140 deletions(-)
Title: Visualizing and Analyzing Mass Spectrometry Related Data in
Proteomics
Description: Helps with quality checks, visualizations
and analysis of mass spectrometry data, coming from proteomics
experiments. The package is developed, tested and used at the Functional
Genomics Center Zurich <https://fgcz.ch>. We use this package
mainly for prototyping, teaching, and having fun with proteomics data.
But it can also be used to do data analysis for small scale data sets.
Author: Christian Panse [aut, cre] ,
Jonas Grossmann [aut] ,
Simon Barkow-Oesterreicher [ctb]
Maintainer: Christian Panse <cp@fgcz.ethz.ch>
Diff between protViz versions 0.7.2 dated 2022-03-16 and 0.7.3 dated 2022-04-04
DESCRIPTION | 6 +++--- MD5 | 24 +++++++++++++++--------- build/partial.rdb |binary build/vignette.rds |binary data/ADPR.RData |only inst/NEWS.Rd | 3 ++- inst/doc/ADP-Ribosylated-peptides.R |only inst/doc/ADP-Ribosylated-peptides.Rnw |only inst/doc/ADP-Ribosylated-peptides.pdf |only inst/doc/PTM_MarkerFinder.pdf |binary inst/doc/poster.pdf |binary inst/doc/protViz.pdf |binary man/ADPR.Rd |only man/centroid.Rd | 2 +- vignettes/ADP-Ribosylated-peptides.Rnw |only vignettes/protViz.bib | 22 ++++++++++++++++++++++ 16 files changed, 43 insertions(+), 14 deletions(-)
Title: The Iterated Score Regression-Based Estimation Algorithm
Description: Algorithm to handle with PCA-based missing data, where ISR is for PCA-based missing data with high correlation and DISR is for distributed PCA-based missing data. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Author: Guangbao Guo [aut, cre] ,
Haoyue Song [aut],
Lixing Zhu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Diff between ISR versions 2021.9.24 dated 2021-09-24 and 2022.3.28 dated 2022-04-04
ISR-2021.9.24/ISR/tests/testthat/test-NAMESPACE.R |only ISR-2022.3.28/ISR/DESCRIPTION | 19 ++-- ISR-2022.3.28/ISR/LICENSE | 4 ISR-2022.3.28/ISR/MD5 | 43 +++++---- ISR-2022.3.28/ISR/NAMESPACE | 3 ISR-2022.3.28/ISR/R/DISR.R |only ISR-2022.3.28/ISR/R/ISR.R | 22 ++--- ISR-2022.3.28/ISR/R/MMLPCA.R | 24 ++--- ISR-2022.3.28/ISR/R/MNIPALS.R | 24 ++--- ISR-2022.3.28/ISR/R/MRPCA.R | 26 +++--- ISR-2022.3.28/ISR/R/SR.R | 95 ++++++++++------------ ISR-2022.3.28/ISR/R/mean.R | 23 ++--- ISR-2022.3.28/ISR/data/CKD.rda |binary ISR-2022.3.28/ISR/data/orange.rda |binary ISR-2022.3.28/ISR/data/ozone.rda |binary ISR-2022.3.28/ISR/man/DISR.Rd |only ISR-2022.3.28/ISR/man/ISR.Rd | 69 +++++++-------- ISR-2022.3.28/ISR/man/MMLPCA.Rd | 68 ++++++--------- ISR-2022.3.28/ISR/man/MNIPALS.Rd | 68 ++++++--------- ISR-2022.3.28/ISR/man/MRPCA.Rd | 68 ++++++--------- ISR-2022.3.28/ISR/man/SR.Rd | 68 ++++++--------- ISR-2022.3.28/ISR/man/mean.Rd | 8 - ISR-2022.3.28/ISR/tests/testthat.R | 1 ISR-2022.3.28/ISR/tests/testthat/test-ISR.R | 72 ---------------- 24 files changed, 299 insertions(+), 406 deletions(-)
Title: Bayesian BIN (Bias, Information, Noise) Model of Forecasting
Description: A recently proposed Bayesian BIN model disentangles the underlying processes
that enable forecasters and forecasting methods to improve, decomposing forecasting accuracy into
three components: bias, partial information, and noise. By describing the differences between two
groups of forecasters, the model allows the user to carry out useful inference, such as calculating
the posterior probabilities of the treatment reducing bias, diminishing noise, or increasing information.
It also provides insight into how much tamping down bias and noise in judgment or enhancing the efficient
extraction of valid information from the environment improves forecasting accuracy. This package provides
easy access to the BIN model. For further information refer to the paper Ville A. Satopää, Marat Salikhov,
Philip E. Tetlock, and Barbara Mellers (2021) "Bias, Information, Noise: The BIN
Model of Forecasting" <doi:10.1287/mnsc.2020.3882>.
Author: Ville Satopaeae [aut, cre] ,
Marat Salikhov [aut],
Elvira Moreno [aut]
Maintainer: Ville Satopaeae <ville.satopaa@gmail.com>
Diff between BINtools versions 0.1.0 dated 2021-06-10 and 0.2.0 dated 2022-04-04
DESCRIPTION | 14 MD5 | 18 NAMESPACE | 1 NEWS.md |only R/BINtools-package.R | 1 README.md |only build/vignette.rds |binary inst/doc/BINtools_vignette.html | 775 +++++++++++++++------------------------- man/complete_summary.Rd | 2 man/estimate_BIN.Rd | 2 src/RcppExports.cpp | 5 11 files changed, 318 insertions(+), 500 deletions(-)
Title: Methods for Graphical Models and Causal Inference
Description: Functions for causal structure
learning and causal inference using graphical models. The main algorithms
for causal structure learning are PC (for observational data without hidden
variables), FCI and RFCI (for observational data with hidden variables),
and GIES (for a mix of data from observational studies
(i.e. observational data) and data from experiments
involving interventions (i.e. interventional data) without hidden
variables). For causal inference the IDA algorithm, the Generalized
Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC)
and some related functions are implemented. Functions for incorporating
background knowledge are provided.
Author: Markus Kalisch [aut, cre],
Alain Hauser [aut],
Martin Maechler [aut],
Diego Colombo [ctb],
Doris Entner [ctb],
Patrik Hoyer [ctb],
Antti Hyttinen [ctb],
Jonas Peters [ctb],
Nicoletta Andri [ctb],
Emilija Perkovic [ctb],
Preetam Nandy [ctb],
Philipp R [...truncated...]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>
Diff between pcalg versions 2.7-5 dated 2022-02-22 and 2.7-6 dated 2022-04-04
DESCRIPTION | 12 - MD5 | 26 +-- NAMESPACE | 2 R/AllClasses.R | 37 ++-- R/gies.R | 4 R/pcalg.R | 315 +++++++++++++++++++++--------------------- build/partial.rdb |binary inst/doc/vignette2018.R | 22 +- inst/doc/vignette2018.Rnw | 28 ++- inst/doc/vignette2018.pdf |binary inst/include/pcalg/greedy.hpp | 6 tests/test_randDAG.R | 26 ++- tests/test_randDAG.Rout.save | 52 +++++- vignettes/vignette2018.Rnw | 28 ++- 14 files changed, 304 insertions(+), 254 deletions(-)
Title: Some Additional Multiple Imputation Functions, Especially for
'mice'
Description: Contains functions for multiple imputation which
complements existing functionality in R.
In particular, several imputation methods for the
mice package (van Buuren & Groothuis-Oudshoorn, 2011,
<doi:10.18637/jss.v045.i03>) are included.
Main features of the miceadds package include
plausible value imputation (Mislevy, 1991,
<doi:10.1007/BF02294457>), multilevel imputation for
variables at any level or with any number of hierarchical
and non-hierarchical levels (Grund, Luedtke & Robitzsch,
2018, <doi:10.1177/1094428117703686>; van Buuren, 2018,
Ch.7, <doi:10.1201/9780429492259>), imputation using
partial least squares (PLS) for high dimensional
predictors (Robitzsch, Pham & Yanagida, 2016),
nested multiple imputation (Rubin, 2003,
<doi:10.1111/1467-9574.00217>), substantive model
compatible imputation (Bartlett et al., 2015,
<doi:10.1177/0962280214521348>), and features
for the generation of synthetic datasets
(Reiter, 2005, <doi:10.1111/j.1467-985X.2004.00343.x>;
Nowok, Raab, & Dibben, 2016, <doi:10.18637/jss.v074.i11>).
Author: Alexander Robitzsch [aut,cre] ,
Simon Grund [aut] ,
Thorsten Henke [ctb]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between miceadds versions 3.11-6 dated 2021-01-21 and 3.12-26 dated 2022-04-04
miceadds-3.11-6/miceadds/R/mice.impute.grouped.R |only miceadds-3.11-6/miceadds/R/pool.nmi.scalar.helper.R |only miceadds-3.11-6/miceadds/man/mice.impute.grouped.Rd |only miceadds-3.12-26/miceadds/DESCRIPTION | 16 - miceadds-3.12-26/miceadds/MD5 | 138 +++++----- miceadds-3.12-26/miceadds/NAMESPACE | 3 miceadds-3.12-26/miceadds/R/ANSI_create_table.R | 4 miceadds-3.12-26/miceadds/R/GroupMean.R | 14 - miceadds-3.12-26/miceadds/R/GroupMean_extend_data.R | 2 miceadds-3.12-26/miceadds/R/MIcombine.NestedImputationResultList.R | 4 miceadds-3.12-26/miceadds/R/NMIcombine.R | 4 miceadds-3.12-26/miceadds/R/NMIwaldtest.R | 11 miceadds-3.12-26/miceadds/R/RcppExports.R | 2 miceadds-3.12-26/miceadds/R/files_move.R | 3 miceadds-3.12-26/miceadds/R/gm.R | 6 miceadds-3.12-26/miceadds/R/ma_rmvnorm.R | 5 miceadds-3.12-26/miceadds/R/mi.anova.R | 16 - miceadds-3.12-26/miceadds/R/mice.impute.2l.pmm.R | 2 miceadds-3.12-26/miceadds/R/mice.impute.ml.lmer.R | 36 +- miceadds-3.12-26/miceadds/R/mice.impute.plausible.values.R | 14 - miceadds-3.12-26/miceadds/R/mice.impute.weighted.pmm.R | 6 miceadds-3.12-26/miceadds/R/mice_imputation_2l_lmer.R | 7 miceadds-3.12-26/miceadds/R/mice_imputation_weighted_norm_draw.R | 4 miceadds-3.12-26/miceadds/R/mice_ml_lmer_choice_aggregated_variables.R | 4 miceadds-3.12-26/miceadds/R/mice_ml_lmer_define_predicted_umat.R |only miceadds-3.12-26/miceadds/R/mice_ml_lmer_draw_random_effects.R | 8 miceadds-3.12-26/miceadds/R/mice_ml_lmer_draw_random_effects_in_iterations.R |only miceadds-3.12-26/miceadds/R/mice_ml_lmer_extract_input.R | 9 miceadds-3.12-26/miceadds/R/mice_ml_lmer_include_cluster_means.R | 2 miceadds-3.12-26/miceadds/R/mice_multilevel_add_groupmeans.R | 14 - miceadds-3.12-26/miceadds/R/mice_multilevel_imputation_draw_residuals.R | 9 miceadds-3.12-26/miceadds/R/micombine.cor.R | 10 miceadds-3.12-26/miceadds/R/micombine.cov.R | 10 miceadds-3.12-26/miceadds/R/mids2datlist.R | 8 miceadds-3.12-26/miceadds/R/pool.mids.nmi.R | 35 +- miceadds-3.12-26/miceadds/R/pool_nmi_scalar_helper.R |only miceadds-3.12-26/miceadds/R/save.data.R | 4 miceadds-3.12-26/miceadds/R/scale_datlist.R | 12 miceadds-3.12-26/miceadds/R/string_extract_part.R | 4 miceadds-3.12-26/miceadds/R/syn.mice.R | 4 miceadds-3.12-26/miceadds/R/syn_mice_catch_arguments.R | 5 miceadds-3.12-26/miceadds/build/partial.rdb |binary miceadds-3.12-26/miceadds/data/data.allison.gssexp.rda |binary miceadds-3.12-26/miceadds/data/data.allison.hip.rda |binary miceadds-3.12-26/miceadds/data/data.allison.usnews.rda |binary miceadds-3.12-26/miceadds/data/data.enders.depression.rda |binary miceadds-3.12-26/miceadds/data/data.enders.eatingattitudes.rda |binary miceadds-3.12-26/miceadds/data/data.enders.employee.rda |binary miceadds-3.12-26/miceadds/data/data.graham.ex3.rda |binary miceadds-3.12-26/miceadds/data/data.graham.ex6.rda |binary miceadds-3.12-26/miceadds/data/data.graham.ex8a.rda |binary miceadds-3.12-26/miceadds/data/data.graham.ex8b.rda |binary miceadds-3.12-26/miceadds/data/data.graham.ex8c.rda |binary miceadds-3.12-26/miceadds/data/data.internet.rda |binary miceadds-3.12-26/miceadds/data/data.largescale.rda |binary miceadds-3.12-26/miceadds/data/data.ma01.rda |binary miceadds-3.12-26/miceadds/data/data.ma02.rda |binary miceadds-3.12-26/miceadds/data/data.ma03.rda |binary miceadds-3.12-26/miceadds/data/data.ma04.rda |binary miceadds-3.12-26/miceadds/data/data.ma05.rda |binary miceadds-3.12-26/miceadds/data/data.ma06.rda |binary miceadds-3.12-26/miceadds/data/data.ma07.rda |binary miceadds-3.12-26/miceadds/data/data.ma08.rda |binary miceadds-3.12-26/miceadds/data/data.smallscale.rda |binary miceadds-3.12-26/miceadds/inst/NEWS | 29 ++ miceadds-3.12-26/miceadds/man/GroupMean.Rd | 8 miceadds-3.12-26/miceadds/man/data.enders.Rd | 4 miceadds-3.12-26/miceadds/man/mice.impute.ml.lmer.Rd | 7 miceadds-3.12-26/miceadds/man/syn.mice.Rd | 15 - miceadds-3.12-26/miceadds/src/RcppExports.cpp | 7 miceadds-3.12-26/miceadds/src/miceadds_rcpp_ml_mcmc_sub.cpp | 4 miceadds-3.12-26/miceadds/src/miceadds_rcpp_ml_mcmc_sub.h | 2 miceadds-3.12-26/miceadds/src/miceadds_rcpp_weighted_pmm.cpp | 6 73 files changed, 308 insertions(+), 209 deletions(-)
Title: Flexible Dot Plot
Description: Flexible Dotplot and Pacman plot for multimodal data.
Author: Simon Leonard [aut, cre]
Maintainer: Simon Leonard <simon.leonard@univ-rennes1.fr>
Diff between FlexDotPlot versions 0.2.1 dated 2022-02-07 and 0.2.2 dated 2022-04-04
DESCRIPTION | 6 MD5 | 30 NEWS.md | 4 R/dot_plot.R | 2342 ++++++++++++++++++------------------- README.md | 44 build/partial.rdb |binary build/vignette.rds |binary inst/CITATION |only inst/app/server.R | 1755 +++++++++++++-------------- inst/app/ui.R | 2 inst/doc/FlexDotPlot_Tutorial.R | 14 inst/doc/FlexDotPlot_Tutorial.Rmd | 775 ++++++------ inst/doc/FlexDotPlot_Tutorial.html | 264 +--- inst/www |only man/dot_plot.Rd | 5 vignettes/FlexDotPlot_Tutorial.Rmd | 775 ++++++------ 16 files changed, 2983 insertions(+), 3033 deletions(-)
Title: Interface to the 'MODIS Land Products Subsets' Web Services
Description: Programmatic interface to the Oak Ridge National Laboratories
'MODIS Land Products Subsets' web services
(<https://modis.ornl.gov/data/modis_webservice.html>). Allows for easy
downloads of 'MODIS' time series directly to your R workspace or
your computer.
Author: Hufkens Koen [aut, cre]
Maintainer: Hufkens Koen <koen.hufkens@gmail.com>
Diff between MODISTools versions 1.1.1 dated 2020-03-05 and 1.1.2 dated 2022-04-04
DESCRIPTION | 13 MD5 | 36 - R/mt_bands.R | 2 R/mt_batch_subset.R | 35 - R/mt_dates.R | 8 R/mt_products.R | 5 R/mt_subset.R | 8 build/vignette.rds |binary inst/CITATION | 31 - inst/doc/modistools-vignette.R | 1 inst/doc/modistools-vignette.Rmd | 3 inst/doc/modistools-vignette.html | 685 +++++++++++-------------------- man/arcachon_lai.Rd | 4 man/arcachon_lc.Rd | 4 man/mt_bands.Rd | 2 man/mt_batch_subset.Rd | 15 tests/testthat/test_download_functions.R | 13 tests/testthat/test_server_errors.R | 6 vignettes/modistools-vignette.Rmd | 3 19 files changed, 338 insertions(+), 536 deletions(-)
Title: Fractal Image Data Generator
Description: Generates image data for fractals (Julia and Mandelbrot sets) on the complex plane in the given region and resolution. Benoit B Mandelbrot (1982).
Author: Mehmet Suzen [aut, cre]
Maintainer: Mehmet Suzen <mehmet.suzen@physics.org>
Diff between Julia versions 1.3.1 dated 2022-02-02 and 1.3.3 dated 2022-04-04
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- man/JuliaImage.Rd | 6 +++--- man/MandelImage.Rd | 2 +- 4 files changed, 12 insertions(+), 12 deletions(-)
Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available.
Author: Maximilian Boeck [aut, cre] ,
Martin Feldkircher [aut] ,
Florian Huber [aut] ,
Darjus Hosszejni [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@da-vienna.ac.at>
Diff between BGVAR versions 2.4.4 dated 2022-04-01 and 2.4.5 dated 2022-04-04
DESCRIPTION | 6 MD5 | 20 - NEWS | 3 R/BGVAR.R | 10 R/irf.R | 2 inst/doc/examples.R | 4 inst/doc/examples.Rmd | 7 inst/doc/examples.html | 926 ++++++++++++++++++++++--------------------------- man/bgvar.Rd | 4 vignettes/examples.Rmd | 7 vignettes/fullbib.bib | 2 11 files changed, 451 insertions(+), 540 deletions(-)
Title: Fractional ARIMA (and Other Long Memory) Time Series Modeling
Description: Simulates, fits, and predicts long-memory and anti-persistent
time series, possibly mixed with ARMA, regression, transfer-function
components.
Exact methods (MLE, forecasting, simulation) are used.
Bug reports should be done via GitHub (at
<https://github.com/JQVeenstra/arfima>), where the development version
of this package lives; it can be installed using devtools.
Author: JQ Veenstra [aut, cre], A.I. McLeod [aut]
Maintainer: JQ Veenstra <jqveenstra@gmail.com>
Diff between arfima versions 1.7-0 dated 2018-11-01 and 1.8-0 dated 2022-04-04
DESCRIPTION | 10 MD5 | 74 - R/arfima.R | 607 +++++++------- R/arfima_function.R | 68 - R/getssq.R | 5 R/iARMA.R | 2 R/plot.predARFIMA.R | 6 R/predict.ARFIMA.R | 6 R/sims.R | 7 R/tacf.R | 8 R/utilityfcns.R | 1841 +++++++++++++++++++++----------------------- man/AIC.arfima.Rd | 1 man/IdentInvertQ.Rd | 21 man/SeriesJ.Rd | 8 man/arfima-package.Rd | 3 man/arfima.Rd | 41 man/arfima.sim.Rd | 20 man/bestModes.Rd | 1 man/coef.arfima.Rd | 4 man/distance.Rd | 1 man/fitted.arfima.Rd | 1 man/iARFIMA.Rd | 15 man/lARFIMA.Rd | 19 man/lARFIMAwTF.Rd | 29 man/plot.predarfima.Rd | 14 man/plot.tacvf.Rd | 17 man/predict.arfima.Rd | 20 man/print.predarfima.Rd | 5 man/print.summary.arfima.Rd | 10 man/removeMode.Rd | 2 man/sim_from_fitted.Rd | 3 man/summary.arfima.Rd | 5 man/tacfplot.Rd | 17 man/tacvf.Rd | 3 man/tacvfARFIMA.Rd | 20 man/tmpyr.Rd | 7 man/vcov.arfima.Rd | 14 man/weed.Rd | 12 38 files changed, 1516 insertions(+), 1431 deletions(-)
Title: Utility Functions
Description: Contains some auxiliary functions.
Author: Thorn Thaler <thorn.thaler@thothal.com>
Maintainer: Thorn Thaler <thorn.thaler@thothal.com>
Diff between ttutils versions 1.0-1 dated 2010-06-20 and 1.0-1.1 dated 2022-04-04
DESCRIPTION | 9 +++++---- MD5 |only NAMESPACE | 1 + 3 files changed, 6 insertions(+), 4 deletions(-)
Title: L1 Regularized Regression (Lasso) Solver using the Cyclic
Coordinate Descent Algorithm aka Lasso Shooting
Description: L1 regularized regression (Lasso) solver using the Cyclic
Coordinate Descent algorithm aka Lasso Shooting is fast. This
implementation can choose which coefficients to penalize. It
support coefficient-specific penalties and it can take X'X and
X'y instead of X and y.
Author: Tobias Abenius <Tobias.Abenius@Chalmers.se>
Maintainer: Tobias Abenius <Tobias.Abenius@Chalmers.se>
Diff between lassoshooting versions 0.1.5-1 dated 2012-05-02 and 0.1.5-1.1 dated 2022-04-04
lassoshooting-0.1.5-1.1/lassoshooting/DESCRIPTION | 13 +++++++------ lassoshooting-0.1.5-1.1/lassoshooting/MD5 | 7 +++---- lassoshooting-0.1.5-1.1/lassoshooting/man/lassoshooting.Rd | 3 ++- lassoshooting-0.1.5-1.1/lassoshooting/src/ccd_r.c | 9 ++++++--- lassoshooting-0.1.5-1/lassoshooting/LICENSE |only 5 files changed, 18 insertions(+), 14 deletions(-)
Title: Spatiotemporal Point Patterns Simulation
Description: Generates artificial spatiotemporal (ST) point patterns
through the integration of microsimulation
(Holm, E., (2017)<doi:10.1002/9781118786352.wbieg0320>)
and agent-based models
(Bonabeau, E., (2002)<doi:10.1073/pnas.082080899>).
Allows a user to define the behaviours of a set of 'walkers' (agents,
objects, persons, etc.) whose interactions with the spatial (landscape)
(Quaglietta, L. and Porto, M., (2019)<doi:10.1186/s40462-019-0154-8>)
and the temporal domains produce new point events. The resulting ST
patterns from the point cloud can be measured and utilized for spatial
and/or temporal model testings and evaluations. Application: With
increasingly limited availability of fine-grained spatially and
temporally stamped point data, the package provides an alternative
source of data for a wide range of research in social and life sciences.
Author: Monsuru Adepeju [cre, aut]
Maintainer: Monsuru Adepeju <monsuur2010@yahoo.com>
Diff between stppSim versions 1.2.1 dated 2022-03-27 and 1.2.3 dated 2022-04-04
DESCRIPTION | 11 +++--- MD5 | 32 +++++++++++-------- NAMESPACE | 24 ++++++++++++++ NEWS.md | 33 ++++++++------------ R/artif_spo.R | 3 + R/data.R | 11 ++++++ R/psim_artif.R | 63 ++++++++++++++++++++++++++++++++++++-- R/psim_real.R | 67 +++++++++++++++++++++++++++++++++++++---- R/stm.R |only R/stp_learner.R | 10 +++--- data/xyz.rda |only inst/doc/stppSim-vignette.R | 4 +- inst/doc/stppSim-vignette.Rmd | 33 ++++++++++++-------- inst/doc/stppSim-vignette.html | 38 ++++++++++++++--------- man/psim_artif.Rd | 16 ++++++--- man/psim_real.Rd | 15 ++++++--- man/stm.Rd |only man/xyz.Rd |only vignettes/stppSim-vignette.Rmd | 33 ++++++++++++-------- 19 files changed, 291 insertions(+), 102 deletions(-)
Title: Event-Specific Win Ratios for Terminal and Non-Terminal Events
Description: Provides several confidence interval and testing procedures using
event-specific win ratios for semi-competing risks data with non-terminal
and terminal events, as developed in Yang et al. (2021<doi:10.1002/sim.9266>).
Compared with conventional methods for survival data, these procedures are
designed to utilize more data for improved inference procedures with
semi-competing risks data. The event-specific win ratios were introduced in
Yang and Troendle (2021<doi:10.1177/1740774520972408>). In this package,
the event-specific win ratios and confidence intervals are obtained for each
event type, and several testing procedures are developed for the global null
of no treatment effect on either terminal or non-terminal events. Furthermore,
a test of proportional hazard assumptions, under which the event-specific win
ratios converge to the hazard ratios, and a test of equal hazard ratios are
provided. For summarizing the treatment effect on all events, confidence
intervals for linear combinations of the event-specific win ratios are available
using pre-determined or data-driven weights. Asymptotic properties of these
inference procedures are discussed in Yang et al (2021<doi:10.1002/sim.9266>).
Also, transformations are used to yield better control of the type one error
rates for moderately sized data sets.
Author: Daewoo Pak [aut, cre],
Song Yang [aut]
Maintainer: Daewoo Pak <dpak@yonsei.ac.kr>
Diff between EventWinRatios versions 0.1.0 dated 2021-10-03 and 1.0.0 dated 2022-04-04
DESCRIPTION | 37 +++++++++++++++++++------------------ MD5 | 10 +++++----- NEWS.md | 3 +++ README.md | 6 +++--- man/EventWinRatios-package.Rd | 6 +++--- man/wr.test.Rd | 6 +++--- 6 files changed, 36 insertions(+), 32 deletions(-)
More information about EventWinRatios at CRAN
Permanent link
Title: Familiarity with Dataframes Before Data Manipulation
Description: Real life data is muddy, fuzzy and unpredictable. This makes data manipulations tedious and bringing the data to right shape alone is a major chunk of work. Functions in this package help us get an understanding of dataframes to dramatically reduces data coding time.
Author: Ashrith Reddy [aut, cre]
Maintainer: Ashrith Reddy <ashrithssreddy@gmail.com>
Diff between dataframeexplorer versions 1.0.0 dated 2020-11-10 and 1.0.2 dated 2022-04-04
DESCRIPTION | 9 ++++----- MD5 | 13 +++++++++++-- NAMESPACE | 7 +++++++ R/99_junk |only R/detect_const_cols.R |only R/detect_dupl_cols.R |only man/detect_const_cols.Rd |only man/detect_dupl_cols.Rd |only 8 files changed, 22 insertions(+), 7 deletions(-)
More information about dataframeexplorer at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-01-27 1.0.3
2015-09-22 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-02-17 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-07-30 0.0-2
2012-07-30 0.0-4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2011-01-03 0.01
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-21 0.1.4
2015-06-18 0.1.3
2014-08-28 0.1.2
2014-03-07 0.1.1
2014-01-17 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2007-09-24 0.17
2007-08-11 0.16
2006-04-04 0.15
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2010-12-16 0.2.1
2010-12-03 0.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-04-04 1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-02-17 0.0.2
2020-11-20 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2011-12-11 1.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-06-02 1.5.0.2
2017-06-08 1.5.0.1
2016-09-23 1.0.1.5
2016-08-22 1.0.0.12
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2010-02-03 0.1.6
2010-01-25 0.1.5
2010-01-22 0.1.4
2010-01-17 0.1.3
2010-01-13 0.1.2
2010-01-12 0.1.1
2010-01-11 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-04-10 1.1.7
2019-02-06 1.1.6
2018-05-14 1.1.5
2017-06-07 1.1.4
2017-03-28 1.0.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-02-17 0.1.0
Title: Trace Longitudinal Hydropeaking Waves
Description: Implements an empirical approach referred to as PeakTrace which uses multiple hydrographs to detect and follow hydropower plant-specific hydropeaking waves at the sub-catchment scale and to describe how hydropeaking flow parameters change along the longitudinal flow path. The method is based on the identification of associated events and uses (linear) regression models to describe translation and retention processes between neighboring hydrographs. Several regression model results are combined to arrive at a power plant-specific model. The approach is proposed and validated in Greimel et al. (2022, accepted with minor revisions). The identification of associated events is based on the event detection implemented in 'hydropeak'.
Author: Bettina Gruen [cre, ctb] ,
Julia Haider [aut],
Franz Greimel [ctb]
Maintainer: Bettina Gruen <Bettina.Gruen@R-project.org>
Diff between hydroroute versions 0.1.0 dated 2022-03-23 and 0.1.1 dated 2022-04-04
DESCRIPTION | 6 MD5 | 35 - R/AE.R | 521 +++++++++++++++++---------- R/automatic-thresholding.R | 6 R/lag.R | 48 +- R/model.R | 61 +-- inst/NEWS.Rd |only inst/doc/hydroroute-intro.R | 14 inst/doc/hydroroute-intro.Rmd | 100 ++--- inst/doc/hydroroute-intro.html | 322 ++++++++-------- inst/testdata/Q_event_2_AMP-LAG_settings.csv | 14 man/estimate_AE.Rd | 119 +++--- man/extract_AE.Rd | 36 + man/get_lag.Rd | 12 man/get_lag_dir.Rd | 14 man/get_lag_file.Rd | 20 - man/merge_time.Rd | 13 man/peaktrace.Rd | 21 - vignettes/hydroroute-intro.Rmd | 100 ++--- 19 files changed, 850 insertions(+), 612 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-11-17 0.8.6
2021-06-24 0.8.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-21 3.1.6
2021-05-16 3.1.5
2021-03-04 3.1.4
2021-02-19 3.1.3
2020-12-17 3.0.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-30 1.0.0
2021-08-21 0.10.0
2020-09-15 0.9.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-04-22 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-06 1.2.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-09-13 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-07 0.4-4
2021-06-09 0.4-1
2021-06-05 0.4-0
2020-10-08 0.3-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-03-28 1.4-1
2021-01-12 1.3-1
2020-05-28 1.2-2
2020-01-10 1.2-1
2019-12-02 1.2
2019-07-03 1.1
2019-03-29 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-11-25 1.0.7
2021-09-14 1.0.6
2021-02-03 1.0.4
2021-01-04 1.0.3
2020-12-04 1.0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-07 0.1.1
2021-12-02 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-08-09 1.0.2
2021-08-09 1.0.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-08-30 1.8.2
2017-04-16 1.8.1
2017-03-24 1.8.0
2016-10-26 1.7.1
2016-03-10 1.3.1
2016-02-18 1.3
2015-08-24 1.2
2015-06-03 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-10-24 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-02-02 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-08-05 3.2.1
2019-01-24 2.0.0
2018-07-04 1.1.0
2018-03-13 0.1-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-09-11 1.0.0
2020-06-14 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-02-27 0.13.3
2020-08-25 0.13.1
2020-03-18 0.12.8
2018-11-06 0.12.7
2018-09-24 0.12.5
2016-03-22 0.12.3
2015-06-05 0.12.1
2015-05-25 0.12.0
2014-03-08 0.11.3
2014-01-18 0.11.1
2014-01-17 0.11
2013-11-18 0.10.1
2013-07-02 0.9
2013-04-15 0.8
2013-01-02 0.7
2012-12-04 0.6-3
2012-11-26 0.6-2
2012-11-08 0.6-1
2012-06-04 0.5
2012-04-28 0.4-1
2012-04-27 0.4
2011-07-25 0.2-1
2011-04-07 0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-12-16 3.0.0
2021-05-02 2.3.1
2021-03-14 2.3.0
2021-01-24 2.2.2
2020-10-06 2.2.1
2019-11-16 2.2.0
2019-05-09 2.1.0
2018-10-13 2.0.0
2018-08-14 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-10-22 1.0.0
2016-06-13 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-06-02 1.1.0
2020-01-09 1.0.5
2018-12-18 1.0.4
2018-07-02 1.0.3
2018-02-05 1.0.2
Title: The Sparse Online Principal Component Estimation Algorithm
Description: The sparse online principal component can not only process the real-time updated data set and stream data set, but also obtain the sparse solution of the updated data set. The philosophy of the package is described in Guo G. (2018) <doi:10.1080/10485252.2018.1531130>.
Author: Guangbao Guo [aut, cre],
Chunjie Wei [aut],
Guoqi Qian [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Diff between SOPC versions 0.0.1 dated 2021-09-17 and 0.0.2 dated 2022-04-04
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++++++----- NAMESPACE | 6 ++++++ R/IPC.R |only R/OPC.R | 2 +- R/PPC.R |only R/SAPC.R |only R/SOPC.R | 2 +- data/Heart.rda |only man/Heart.Rd |only man/IPC.Rd |only man/OPC.Rd | 4 ++-- man/PPC.Rd |only man/SAPC.Rd |only 14 files changed, 27 insertions(+), 13 deletions(-)
Title: Robust Estimation in Very Small Samples
Description: Implements the estimation techniques described in Rousseeuw &
Verboven (2002) <doi:10.1016/S0167-9473(02)00078-6> for the location and
scale of very small samples.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>
Diff between revss versions 1.0.3 dated 2022-01-19 and 1.0.4 dated 2022-04-04
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- R/robLoc.R | 12 ++++++------ R/robScale.R | 14 +++++++------- README.md | 45 +++++++++++++++++++++++++++++++++++++-------- build/partial.rdb |binary inst/CITATION | 4 ++-- inst/NEWS.Rd | 15 +++++++++++++++ man/robLoc.Rd | 2 +- man/robScale.Rd | 2 +- 10 files changed, 82 insertions(+), 38 deletions(-)
Title: Linking R with the Open-Source 'SAGA-GIS' Software
Description: Provides an R scripting interface to the open-source 'SAGA-GIS'
(System for Automated Geoscientific Analyses Geographical Information
System) software. 'Rsagacmd' dynamically generates R functions for every
'SAGA-GIS' geoprocessing tool based on the user's currently installed
'SAGA-GIS' version. These functions are contained within an S3 object
and are accessed as a named list of libraries and tools. This structure
facilitates an easier scripting experience by organizing the large number
of 'SAGA-GIS' geoprocessing tools (>700) by their respective library.
Interactive scripting can fully take advantage of code autocompletion tools
(e.g. in 'Rstudio'), allowing for each tools syntax to be quickly
recognized. Furthermore, the most common types of spatial data (via the
'raster', 'terra', 'sp', and 'sf' packages) along with non-spatial data are
automatically passed from R to the 'SAGA-GIS' command line tool for
geoprocessing operations, and the results are loaded as the appropriate R
object. Outputs from individual 'SAGA-GIS' tools can also be chained using
pipes from the 'magrittr' and 'dplyr' packages to combine complex
geoprocessing operations together in a single statement. 'SAGA-GIS' is
available under a GPLv2 / LGPLv2 licence from
<https://sourceforge.net/projects/saga-gis/> including Windows x86/x64
binaries. SAGA-GIS is also included in Debian/Ubuntu default software
repositories and is available for macOS using homebrew (<https://brew.sh/>)
from the osgeo/osgeo4mac (<https://github.com/OSGeo/homebrew-osgeo4mac>)
formula tap, as well as being bundled within the 'QGIS' application bundle
for macOS. Rsagacmd has currently been tested on 'SAGA-GIS' versions
from 2.3.1 to 8.0.1 on Windows, Linux and macOS.
Author: Steven Pawley [aut, cre]
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>
Diff between Rsagacmd versions 0.1.2 dated 2021-12-04 and 0.2.0 dated 2022-04-04
Rsagacmd-0.1.2/Rsagacmd/R/check_output_format.R |only Rsagacmd-0.1.2/Rsagacmd/R/create_function.R |only Rsagacmd-0.1.2/Rsagacmd/R/create_tool.R |only Rsagacmd-0.1.2/Rsagacmd/R/create_tool_overrides.R |only Rsagacmd-0.1.2/Rsagacmd/R/formats.R |only Rsagacmd-0.1.2/Rsagacmd/R/read_output.R |only Rsagacmd-0.1.2/Rsagacmd/R/run_cmd.R |only Rsagacmd-0.1.2/Rsagacmd/R/saga.R |only Rsagacmd-0.1.2/Rsagacmd/R/saga_execute.R |only Rsagacmd-0.1.2/Rsagacmd/R/saga_search.R |only Rsagacmd-0.1.2/Rsagacmd/R/saga_tools.R |only Rsagacmd-0.1.2/Rsagacmd/R/saga_version.R |only Rsagacmd-0.1.2/Rsagacmd/R/save_object.R |only Rsagacmd-0.1.2/Rsagacmd/R/search_tools.R |only Rsagacmd-0.1.2/Rsagacmd/man/saga_search.Rd |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test-create_tool_overrides.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test-saga_tools.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test_raster_backends.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test_raster_vector_formats.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test_saga_environment.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test_sagatools.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test_search_tools.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test_supported_saga_versions.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test_tempfiles.R |only Rsagacmd-0.1.2/Rsagacmd/tests/testthat/test_tile_geoprocessor.R |only Rsagacmd-0.2.0/Rsagacmd/DESCRIPTION | 14 Rsagacmd-0.2.0/Rsagacmd/MD5 | 134 ++-- Rsagacmd-0.2.0/Rsagacmd/NAMESPACE | 9 Rsagacmd-0.2.0/Rsagacmd/NEWS.md | 17 Rsagacmd-0.2.0/Rsagacmd/R/data-formats.R |only Rsagacmd-0.2.0/Rsagacmd/R/file-extensions.R |only Rsagacmd-0.2.0/Rsagacmd/R/io-read.R |only Rsagacmd-0.2.0/Rsagacmd/R/io-save.R |only Rsagacmd-0.2.0/Rsagacmd/R/man.R |only Rsagacmd-0.2.0/Rsagacmd/R/parameters.R | 158 +++-- Rsagacmd-0.2.0/Rsagacmd/R/read-srtm.R |only Rsagacmd-0.2.0/Rsagacmd/R/run-cmd.R |only Rsagacmd-0.2.0/Rsagacmd/R/saga-gis.R |only Rsagacmd-0.2.0/Rsagacmd/R/saga-version.R |only Rsagacmd-0.2.0/Rsagacmd/R/search-saga.R |only Rsagacmd-0.2.0/Rsagacmd/R/search-tools.R |only Rsagacmd-0.2.0/Rsagacmd/R/tempfiles.R | 2 Rsagacmd-0.2.0/Rsagacmd/R/tidy.R |only Rsagacmd-0.2.0/Rsagacmd/R/tool-execute.R |only Rsagacmd-0.2.0/Rsagacmd/R/tool-function.R |only Rsagacmd-0.2.0/Rsagacmd/R/tool-object.R |only Rsagacmd-0.2.0/Rsagacmd/R/tool-overrides.R |only Rsagacmd-0.2.0/Rsagacmd/R/utils.R | 78 ++ Rsagacmd-0.2.0/Rsagacmd/README.md | 313 ++++++---- Rsagacmd-0.2.0/Rsagacmd/inst |only Rsagacmd-0.2.0/Rsagacmd/man/check_output_format.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/convert_sagaext_r.Rd |only Rsagacmd-0.2.0/Rsagacmd/man/create_function.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/create_tool.Rd | 10 Rsagacmd-0.2.0/Rsagacmd/man/create_tool_overrides.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/extract_tool.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/figures |only Rsagacmd-0.2.0/Rsagacmd/man/parse_options.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/print.saga_tool.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/read_grid.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/read_grid_list.Rd | 4 Rsagacmd-0.2.0/Rsagacmd/man/read_output.Rd | 9 Rsagacmd-0.2.0/Rsagacmd/man/read_shapes.Rd | 6 Rsagacmd-0.2.0/Rsagacmd/man/read_srtm.Rd |only Rsagacmd-0.2.0/Rsagacmd/man/read_table.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/reexports.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/run_cmd.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/saga_configure.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/saga_docs.Rd |only Rsagacmd-0.2.0/Rsagacmd/man/saga_env.Rd | 19 Rsagacmd-0.2.0/Rsagacmd/man/saga_execute.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/saga_gis.Rd | 37 - Rsagacmd-0.2.0/Rsagacmd/man/saga_version.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/save_object.Rd | 6 Rsagacmd-0.2.0/Rsagacmd/man/search_saga.Rd |only Rsagacmd-0.2.0/Rsagacmd/man/search_tools.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/show_raster_formats.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/show_vector_formats.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/summarize_tool_params.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/tidy.saga.Rd |only Rsagacmd-0.2.0/Rsagacmd/man/tidy.saga_library.Rd |only Rsagacmd-0.2.0/Rsagacmd/man/tidy.saga_tool.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/tile_geoprocessor.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/man/update_parameter_file.Rd | 7 Rsagacmd-0.2.0/Rsagacmd/man/update_parameters_file.Rd | 9 Rsagacmd-0.2.0/Rsagacmd/man/update_parameters_tempfiles.Rd | 2 Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-backends-raster.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-backends-vector.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-data-formats.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-outputs-grid-lists.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-saga-environment.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-search-tools.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-tempfiles.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-tidy.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-tool-overrides.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-tools.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-utils.R |only Rsagacmd-0.2.0/Rsagacmd/tests/testthat/test-versions.R |only 98 files changed, 576 insertions(+), 296 deletions(-)