Title: Versatile Curation of Table Metadata
Description: A YAML-based
mechanism for working with table metadata. Supports
compact syntax for creating, modifying, viewing, exporting,
importing, displaying, and plotting metadata coded as column
attributes. The 'yamlet' dialect is valid 'YAML' with
defaults and conventions chosen to improve readability.
See ?yamlet, ?decorate.data.frame and ?modify.default.
See ?read_yamlet ?write_yamlet, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Diff between yamlet versions 0.10.10 dated 2023-02-17 and 0.10.18 dated 2023-03-08
DESCRIPTION | 8 - MD5 | 84 +++++++------ NAMESPACE | 1 R/classified.R | 183 +++++++++++++++++++++++++---- R/ggplot.R | 96 ++++++++++++++- R/ggready.R | 4 R/mimic.R | 16 ++ R/unclassified.R | 8 + R/yamlet.R | 124 ++++++++++++++----- R/yamlet_options.R | 6 inst/doc/yamlet-introduction.R | 6 inst/doc/yamlet-introduction.Rmd | 6 inst/doc/yamlet-introduction.html | 10 - man/as.integer.classified.Rd | 14 +- man/as_yam.character.Rd | 13 +- man/c.classified.Rd | 1 man/classified.Rd | 1 man/classified.classified.Rd | 36 +++++ man/classified.data.frame.Rd | 1 man/classified.default.Rd | 3 man/classified.dvec.Rd | 1 man/classified.factor.Rd |only man/desolve.classified.Rd | 1 man/ggplot_build.decorated_ggplot.Rd | 18 +- man/ggready.data.frame.Rd | 2 man/ggready.decorated.Rd | 7 - man/mimic.default.Rd | 2 man/print.decorated_ggplot.Rd | 2 man/print.yamlet.Rd | 8 + man/sub-.classified.Rd | 1 man/sub-sub-.classified.Rd | 1 man/sub-subset-.classified.Rd | 1 man/subset-.classified.Rd | 1 man/to_yamlet.character.Rd | 8 - man/unclassified.Rd | 1 man/unclassified.classified.Rd | 1 man/unclassified.data.frame.Rd | 1 man/yamlet_options.Rd | 6 tests/testthat/118.rds |only tests/testthat/119.rds |only tests/testthat/120.rds |only tests/testthat/Rplots.pdf |binary tests/testthat/graphics-yamlet.R | 5 tests/testthat/test-yamlet.R | 220 ++++++++++++++++++++++++++++++++--- vignettes/yamlet-introduction.Rmd | 6 45 files changed, 748 insertions(+), 166 deletions(-)
Title: A High-Performance Local Taxonomic Database Interface
Description: Creates a local database of many commonly used taxonomic authorities
and provides functions that can quickly query this data.
Author: Carl Boettiger [aut, cre] ,
Kari Norman [aut] ,
Jorrit Poelen [aut] ,
Scott Chamberlain [aut] ,
Noam Ross [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>
Diff between taxadb versions 0.2.0 dated 2023-02-14 and 0.2.1 dated 2023-03-08
DESCRIPTION | 6 +- MD5 | 50 +++++++++--------- NEWS.md | 7 ++ R/filter_by.R | 46 ++++++++-------- R/filter_name.R | 2 R/get_ids.R | 15 +++-- R/get_names.R | 20 +++++-- R/parse_schema.R | 14 ++++- README.md | 110 ++++++++++++++++++++-------------------- inst/CITATION | 4 - inst/doc/backends.html | 4 - inst/doc/data-sources.html | 4 - inst/extdata/schema.json | 33 ++++++++++++ man/common_contains.Rd | 2 man/common_starts_with.Rd | 2 man/filter_by.Rd | 4 - man/filter_common.Rd | 2 man/filter_name.Rd | 4 - man/filter_rank.Rd | 2 man/fuzzy_filter.Rd | 2 man/get_ids.Rd | 9 ++- man/get_names.Rd | 9 ++- man/name_contains.Rd | 2 man/name_starts_with.Rd | 2 tests/testthat/test-filter_by.R | 7 +- tests/testthat/test-get_ids.R | 6 +- 26 files changed, 220 insertions(+), 148 deletions(-)
Title: Analyse Biological Time-Series Data
Description: Compiles functions to trim, bin, visualise, and analyse activity/sleep time-series data collected from the Drosophila Activity Monitor (DAM) system (Trikinetics, USA). The following methods were used to compute periodograms - Chi-square periodogram: Sokolove and Bushell (1978) <doi:10.1016/0022-5193(78)90022-X>, Lomb-Scargle periodogram: Lomb (1976) <doi:10.1007/BF00648343>, Scargle (1982) <doi:10.1086/160554> and Ruf (1999) <doi:10.1076/brhm.30.2.178.1422>, and Autocorrelation: Eijzenbach et al. (1986) <doi:10.1111/j.1440-1681.1986.tb00943.x>. Identification of activity peaks is done after using a Savitzky-Golay filter (Savitzky and Golay (1964) <doi:10.1021/ac60214a047>) to smooth raw activity data. Three methods to estimate anticipation of activity are used based on the following papers - Slope method: Fernandez et al. (2020) <doi:10.1016/j.cub.2020.04.025>, Harrisingh method: Harrisingh et al. (2007) <doi:10.1523/JNEUROSCI.3680-07.2007&g [...truncated...]
Author: Lakshman Abhilash [aut, cre]
Maintainer: Lakshman Abhilash <labhilash@gc.cuny.edu>
Diff between phase versions 1.2.8 dated 2023-03-08 and 1.2.9 dated 2023-03-08
DESCRIPTION | 6 MD5 | 4 R/transitionProbs.R | 332 +++++++++++++++++++++++++++++++++++++++++++--------- 3 files changed, 281 insertions(+), 61 deletions(-)
Title: Spatial and Spatiotemporal Relative Risk
Description: Provides functions to estimate kernel-smoothed spatial and spatio-temporal densities and relative risk functions, and perform subsequent inference. Methodological details can be found in the accompanying tutorial: Davies et al. (2018) <DOI:10.1002/sim.7577>.
Author: Tilman M. Davies [aut, cre],
Jonathan C. Marshall [aut]
Maintainer: Tilman M. Davies <tilman.davies@otago.ac.nz>
Diff between sparr versions 2.2-17 dated 2022-11-09 and 2.3-10 dated 2023-03-08
DESCRIPTION | 10 - MD5 | 23 +- R/fft.R | 2 R/package.R | 9 - R/risk.R | 301 +++++++++++++++++++++++------------ R/shrinkydink.R |only README.md | 14 + inst/CITATION | 6 man/fft2d.Rd | 2 man/figures/README-pbc-example-1.png |binary man/risk.Rd | 36 +++- man/sparr-internal.Rd | 4 man/sparr-package.Rd | 13 + 13 files changed, 285 insertions(+), 135 deletions(-)
Title: Model Wrappers for Rule-Based Models
Description: Bindings for additional models for use with the 'parsnip'
package. Models include prediction rule ensembles (Friedman and
Popescu, 2008) <doi:10.1214/07-AOAS148>, C5.0 rules (Quinlan, 1992
ISBN: 1558602380), and Cubist (Kuhn and Johnson, 2013)
<doi:10.1007/978-1-4614-6849-3>.
Author: Emil Hvitfeldt [aut, cre] ,
Max Kuhn [aut] ,
Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Diff between rules versions 1.0.1 dated 2023-01-17 and 1.0.2 dated 2023-03-08
DESCRIPTION | 10 +++++----- LICENSE | 4 ++-- MD5 | 12 ++++++------ NEWS.md | 4 ++++ README.md | 4 ++-- man/figures/logo.png |binary man/rules-package.Rd | 6 +++--- 7 files changed, 22 insertions(+), 18 deletions(-)
Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel
sparse direct Solver) are wrapped in a class whose methods can be used
for sequentially solving a sparse linear system (symmetric or not)
with one or many right hand sides (dense or sparse).
There is a possibility to do separately symbolic analysis,
LU (or LDL^t) factorization and system solving.
Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'.
'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194>
and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre],
Emmanuel Agullo [ctb],
Patrick Amestoy [ctb, cph],
Maurice Bremond [ctb],
Alfredo Buttari [ctb],
Philippe Combes [ctb],
Marie Durand [ctb],
Aurelia Fevre [ctb],
Abdou Guermouche [ctb],
Guillaume Joslin [ctb],
Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>
Diff between rmumps versions 5.2.1-22 dated 2023-01-12 and 5.2.1-23 dated 2023-03-08
DESCRIPTION | 10 +++++----- MD5 | 20 ++++++++++---------- NEWS | 8 ++++++++ R/methods.R | 2 +- inst/CITATION | 8 ++++---- inst/include/rmumps.h | 3 +++ src/Makevars | 1 + src/Makevars.seq | 1 + src/lib/metis-5.1.0/GKlib/gkregex.c | 3 ++- src/lib/scotch_6.0.9/src/esmumps/symbol_fax.c | 4 +++- src/rmumps_module.cpp | 25 +++++++++++++++++++++++++ 11 files changed, 63 insertions(+), 22 deletions(-)
Title: Provide Tools to Register Models for Use in 'tidymodels'
Description: An developer focused, low dependency package in 'tidymodels' that
provides functions to register how models are to be used. Functions to
register models are complimented with accessor functions to retrieve
registered model information to aid in model fitting and error handling.
Author: Emil Hvitfeldt [aut, cre] ,
Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Diff between modelenv versions 0.1.0 dated 2022-10-17 and 0.1.1 dated 2023-03-08
DESCRIPTION | 24 ++++++++++++++---------- LICENSE | 2 +- MD5 | 9 ++++++--- NEWS.md |only R/modelenv-package.R |only README.md | 4 ++-- man/modelenv-package.Rd |only 7 files changed, 23 insertions(+), 16 deletions(-)
Title: Search Spaces for 'mlr3'
Description: Collection of search spaces for hyperparameter optimization in the
'mlr3' ecosystem. It features ready-to-use search spaces for many popular
machine learning algorithms. The search spaces are from scientific articles
and work for a wide range of data sets.
Author: Marc Becker [cre, aut] ,
Michel Lang [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>
Diff between mlr3tuningspaces versions 0.3.4 dated 2023-03-02 and 0.3.5 dated 2023-03-08
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 4 ++++ R/TuningSpace.R | 2 +- 4 files changed, 11 insertions(+), 7 deletions(-)
More information about mlr3tuningspaces at CRAN
Permanent link
Title: Graphical Difference Testing
Description: Functions for performing graphical difference testing.
Differences are generated between raster images.
Comparisons can be performed between different package
versions and between different R versions.
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Diff between gdiff versions 0.2-4 dated 2022-07-14 and 0.2-5 dated 2023-03-08
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/output.R | 2 +- inst/NEWS.Rd | 6 ++++++ 4 files changed, 13 insertions(+), 7 deletions(-)
Title: Bivariate Angular Mixture Models
Description: Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2021) <doi:10.18637/jss.v099.i11>.
Author: Saptarshi Chakraborty,
Samuel W.K. Wong
Maintainer: Saptarshi Chakraborty <chakra.saptarshi@gmail.com>
Diff between BAMBI versions 2.3.4 dated 2022-09-02 and 2.3.5 dated 2023-03-08
DESCRIPTION | 10 MD5 | 28 R/RcppExports.R | 718 +++---- R/all_diagnostics.R | 8 R/all_postprodn_fns.R | 3199 +++++++++++++++++----------------- R/all_vmcos_fns.R | 4 R/fit_mixmodel.R | 3936 +++++++++++++++++++++--------------------- build/partial.rdb |binary man/bridge_sampler.angmcmc.Rd | 7 man/densityplot.angmcmc.Rd | 6 man/fit_angmix.Rd | 10 man/loo.angmcmc.Rd | 2 man/rvmcos.Rd | 4 src/Makevars | 4 src/Makevars.win | 4 15 files changed, 3990 insertions(+), 3950 deletions(-)
Title: Class-Agnostic Time Series
Description: Time series toolkit with identical behavior for all
time series classes: 'ts','xts', 'data.frame', 'data.table', 'tibble', 'zoo',
'timeSeries', 'tsibble', 'tis' or 'irts'. Also converts reliably between these classes.
Author: Christoph Sax [aut, cre] ,
Cathy Chamberlin [rev],
Nunes Matt [rev]
Maintainer: Christoph Sax <christoph.sax@gmail.com>
Diff between tsbox versions 0.3.1 dated 2021-09-16 and 0.4 dated 2023-03-08
tsbox-0.3.1/tsbox/R/tsbox-deprecated.R |only tsbox-0.3.1/tsbox/man/tsbox-deprecated.Rd |only tsbox-0.3.1/tsbox/tests/testthat/test-ts_high_freq.R |only tsbox-0.3.1/tsbox/tests/testthat/test-ts_irregular.R |only tsbox-0.3.1/tsbox/tests/testthat/test-ts_tzone.R |only tsbox-0.4/tsbox/DESCRIPTION | 33 tsbox-0.4/tsbox/MD5 | 268 +++--- tsbox-0.4/tsbox/NAMESPACE | 3 tsbox-0.4/tsbox/NEWS.md | 23 tsbox-0.4/tsbox/R/0_convert_data.R | 48 - tsbox-0.4/tsbox/R/check.R |only tsbox-0.4/tsbox/R/convert_exact.R | 52 + tsbox-0.4/tsbox/R/convert_heuristic.R | 64 - tsbox-0.4/tsbox/R/data.table_helpers.R | 31 tsbox-0.4/tsbox/R/date_helpers.R | 61 + tsbox-0.4/tsbox/R/date_utils.R | 179 ++-- tsbox-0.4/tsbox/R/dts.R | 5 tsbox-0.4/tsbox/R/dts_default.R | 20 tsbox-0.4/tsbox/R/dts_helpers.R | 93 +- tsbox-0.4/tsbox/R/expressions.R | 11 tsbox-0.4/tsbox/R/guess_dts.R | 63 + tsbox-0.4/tsbox/R/guess_time_var_value.R | 86 +- tsbox-0.4/tsbox/R/srr-stats-standards.R |only tsbox-0.4/tsbox/R/to_from_all.R | 115 ++ tsbox-0.4/tsbox/R/to_from_data.frame.R | 9 tsbox-0.4/tsbox/R/to_from_data.table.R | 8 tsbox-0.4/tsbox/R/to_from_tibble.R | 10 tsbox-0.4/tsbox/R/to_from_tibbletime.R | 20 tsbox-0.4/tsbox/R/to_from_timeSeries.R | 10 tsbox-0.4/tsbox/R/to_from_tis.R | 8 tsbox-0.4/tsbox/R/to_from_ts.R | 71 - tsbox-0.4/tsbox/R/to_from_tseries.R | 10 tsbox-0.4/tsbox/R/to_from_tsibble.R | 22 tsbox-0.4/tsbox/R/to_from_tslist.R | 10 tsbox-0.4/tsbox/R/to_from_xts.R | 13 tsbox-0.4/tsbox/R/to_from_zoo.R | 8 tsbox-0.4/tsbox/R/to_from_zooreg.R |only tsbox-0.4/tsbox/R/ts_.R | 33 tsbox-0.4/tsbox/R/ts_apply.R | 16 tsbox-0.4/tsbox/R/ts_arithmetic.R | 39 - tsbox-0.4/tsbox/R/ts_bind.R | 48 - tsbox-0.4/tsbox/R/ts_c.R | 103 +- tsbox-0.4/tsbox/R/ts_chain.R | 18 tsbox-0.4/tsbox/R/ts_default.R | 20 tsbox-0.4/tsbox/R/ts_examples.R | 14 tsbox-0.4/tsbox/R/ts_first_of_period.R | 85 +- tsbox-0.4/tsbox/R/ts_frequency.R | 87 +- tsbox-0.4/tsbox/R/ts_ggplot.R | 31 tsbox-0.4/tsbox/R/ts_index.R | 54 - tsbox-0.4/tsbox/R/ts_lag.R | 28 tsbox-0.4/tsbox/R/ts_long_wide.R | 79 +- tsbox-0.4/tsbox/R/ts_na_omit.R | 18 tsbox-0.4/tsbox/R/ts_pc.R | 27 tsbox-0.4/tsbox/R/ts_pick.R | 33 tsbox-0.4/tsbox/R/ts_plot.R | 55 + tsbox-0.4/tsbox/R/ts_regular.R | 50 - tsbox-0.4/tsbox/R/ts_scale.R | 12 tsbox-0.4/tsbox/R/ts_span.R | 131 +-- tsbox-0.4/tsbox/R/ts_summary.R | 55 - tsbox-0.4/tsbox/R/ts_trend.R | 30 tsbox-0.4/tsbox/R/tsbox-defunct.R |only tsbox-0.4/tsbox/R/tsbox-package.R | 22 tsbox-0.4/tsbox/R/utils.R |only tsbox-0.4/tsbox/README.md | 23 tsbox-0.4/tsbox/build/vignette.rds |binary tsbox-0.4/tsbox/inst/CITATION | 2 tsbox-0.4/tsbox/inst/WORDLIST | 6 tsbox-0.4/tsbox/inst/doc/convert.html | 400 ++++++++-- tsbox-0.4/tsbox/inst/doc/ts-functions.html | 367 +++++++-- tsbox-0.4/tsbox/inst/doc/tsbox.Rmd | 169 +++- tsbox-0.4/tsbox/inst/doc/tsbox.html | 576 ++++++++++++--- tsbox-0.4/tsbox/man/copy_class.Rd | 23 tsbox-0.4/tsbox/man/relevant_class.Rd | 10 tsbox-0.4/tsbox/man/ts_.Rd | 6 tsbox-0.4/tsbox/man/ts_arithmetic.Rd | 8 tsbox-0.4/tsbox/man/ts_bind.Rd | 17 tsbox-0.4/tsbox/man/ts_boxable.Rd | 10 tsbox-0.4/tsbox/man/ts_c.Rd | 21 tsbox-0.4/tsbox/man/ts_default.Rd | 13 tsbox-0.4/tsbox/man/ts_dts.Rd | 23 tsbox-0.4/tsbox/man/ts_examples.Rd | 18 tsbox-0.4/tsbox/man/ts_first_of_period.Rd | 15 tsbox-0.4/tsbox/man/ts_frequency.Rd | 4 tsbox-0.4/tsbox/man/ts_ggplot.Rd | 12 tsbox-0.4/tsbox/man/ts_index.Rd | 23 tsbox-0.4/tsbox/man/ts_lag.Rd | 20 tsbox-0.4/tsbox/man/ts_long.Rd | 11 tsbox-0.4/tsbox/man/ts_na_omit.Rd | 16 tsbox-0.4/tsbox/man/ts_pc.Rd | 20 tsbox-0.4/tsbox/man/ts_pick.Rd | 17 tsbox-0.4/tsbox/man/ts_plot.Rd | 6 tsbox-0.4/tsbox/man/ts_regular.Rd | 12 tsbox-0.4/tsbox/man/ts_save.Rd | 12 tsbox-0.4/tsbox/man/ts_scale.Rd | 16 tsbox-0.4/tsbox/man/ts_span.Rd | 14 tsbox-0.4/tsbox/man/ts_summary.Rd | 4 tsbox-0.4/tsbox/man/ts_trend.Rd | 20 tsbox-0.4/tsbox/man/ts_ts.Rd | 48 - tsbox-0.4/tsbox/man/tsbox-defunct.Rd |only tsbox-0.4/tsbox/man/tsbox-package.Rd | 17 tsbox-0.4/tsbox/tests/spelling.R | 9 tsbox-0.4/tsbox/tests/testthat.R | 1 tsbox-0.4/tsbox/tests/testthat/test-arithmetic.R | 11 tsbox-0.4/tsbox/tests/testthat/test-auto.R | 18 tsbox-0.4/tsbox/tests/testthat/test-date_utils.R | 79 -- tsbox-0.4/tsbox/tests/testthat/test-defects.R | 8 tsbox-0.4/tsbox/tests/testthat/test-dirty.R | 25 tsbox-0.4/tsbox/tests/testthat/test-edge.R |only tsbox-0.4/tsbox/tests/testthat/test-error_handling.R |only tsbox-0.4/tsbox/tests/testthat/test-high_freq.R |only tsbox-0.4/tsbox/tests/testthat/test-irregular.R |only tsbox-0.4/tsbox/tests/testthat/test-issues.R | 7 tsbox-0.4/tsbox/tests/testthat/test-missing.R |only tsbox-0.4/tsbox/tests/testthat/test-non_heuristic.R | 5 tsbox-0.4/tsbox/tests/testthat/test-nonstandard_cnames.R | 44 - tsbox-0.4/tsbox/tests/testthat/test-nyc_flights.R | 15 tsbox-0.4/tsbox/tests/testthat/test-object_conversion.R | 10 tsbox-0.4/tsbox/tests/testthat/test-readme.R | 16 tsbox-0.4/tsbox/tests/testthat/test-subannual.R | 5 tsbox-0.4/tsbox/tests/testthat/test-time_conversion.R | 8 tsbox-0.4/tsbox/tests/testthat/test-tricky.R | 20 tsbox-0.4/tsbox/tests/testthat/test-ts_.R | 44 - tsbox-0.4/tsbox/tests/testthat/test-ts_bind.R | 32 tsbox-0.4/tsbox/tests/testthat/test-ts_c.R |only tsbox-0.4/tsbox/tests/testthat/test-ts_chain.R | 7 tsbox-0.4/tsbox/tests/testthat/test-ts_default.R | 7 tsbox-0.4/tsbox/tests/testthat/test-ts_first_of_period.R | 20 tsbox-0.4/tsbox/tests/testthat/test-ts_frequency.R | 34 tsbox-0.4/tsbox/tests/testthat/test-ts_index.R | 9 tsbox-0.4/tsbox/tests/testthat/test-ts_lag.R | 17 tsbox-0.4/tsbox/tests/testthat/test-ts_long_wide.R | 8 tsbox-0.4/tsbox/tests/testthat/test-ts_low_freq.R | 19 tsbox-0.4/tsbox/tests/testthat/test-ts_na_omit.R |only tsbox-0.4/tsbox/tests/testthat/test-ts_pc.R | 47 - tsbox-0.4/tsbox/tests/testthat/test-ts_pick.R | 8 tsbox-0.4/tsbox/tests/testthat/test-ts_plot.R | 49 - tsbox-0.4/tsbox/tests/testthat/test-ts_regular.R | 11 tsbox-0.4/tsbox/tests/testthat/test-ts_scale.R | 9 tsbox-0.4/tsbox/tests/testthat/test-ts_span.R | 19 tsbox-0.4/tsbox/tests/testthat/test-ts_summary.R | 22 tsbox-0.4/tsbox/tests/testthat/test-tsibble.R | 35 tsbox-0.4/tsbox/tests/testthat/test-tslist.R | 7 tsbox-0.4/tsbox/tests/testthat/test-tzone.R |only tsbox-0.4/tsbox/tests/testthat/test-units.R |only tsbox-0.4/tsbox/vignettes/tsbox.Rmd | 169 +++- 145 files changed, 3464 insertions(+), 1811 deletions(-)
Title: Partial Datetime Handling
Description: Datetimes and timestamps are invariably an imprecise notation, with any
partial representation implying some amount of uncertainty. To handle this,
'parttime' provides classes for embedding partial missingness as a central
part of its datetime classes. This central feature allows for more ergonomic
use of datetimes for challenging datetime computation, including
calculations of overlapping date ranges, imputations, and more thoughtful
handling of ambiguity that arises from uncertain time zones. This package was
developed first and foremost with pharmaceutical applications in mind, but
aims to be agnostic to application to accommodate general use cases just as
conveniently.
Author: Doug Kelkhoff [aut, cre],
Bill Denney [ctb]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>
Diff between parttime versions 0.1.0 dated 2022-11-04 and 0.1.1 dated 2023-03-08
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NEWS.md | 5 +++++ R/class_partial_time_compat_pillar.R | 2 +- R/class_partial_time_compat_vctrs.R | 12 +++++++++--- R/class_partial_time_ops.R | 2 -- R/class_timespan_compat_vctrs.R | 8 ++++++-- README.md | 2 +- man/format.pillar_shaft_partial_time.Rd | 4 ++-- man/vec_ptype_abbr.partial_time.Rd | 9 ++++++++- man/vec_ptype_full.partial_time.Rd | 4 +++- 11 files changed, 49 insertions(+), 27 deletions(-)
Title: Prioritize Variables with Joint Variable Importance Plot in
Observational Study Design
Description: In the observational study design stage, matching/weighting methods are
conducted. However, when many background variables are present, the decision as to
which variables to prioritize for matching/weighting is not trivial. Thus, the
joint treatment-outcome variable importance plots are created to guide variable
selection. The joint variable importance plots enhance variable comparisons via
unadjusted bias curves derived under the omitted variable bias framework. The
plots translate variable importance into recommended values for tuning parameters
in existing methods. Post-matching and/or weighting plots can also be used to
visualize and assess the quality of the observational study design. The method
motivation and derivation is presented in "Using Joint Variable Importance Plots
to Prioritize Variables in Assessing the Impact of Glyburide on Adverse Birth
Outcomes" by Liao et al. (2023) <arXiv:2301.09754>. See the package paper by Liao
and Pimentel (2023) <arxiv:2302.10367&g [...truncated...]
Author: Lauren D. Liao [aut, cre] ,
Samuel D. Pimentel [aut]
Maintainer: Lauren D. Liao <ldliao@berkeley.edu>
Diff between jointVIP versions 0.1.1 dated 2023-01-26 and 0.1.2 dated 2023-03-08
jointVIP-0.1.1/jointVIP/man/add_OVB_curves.Rd |only jointVIP-0.1.2/jointVIP/DESCRIPTION | 23 - jointVIP-0.1.2/jointVIP/MD5 | 61 ++-- jointVIP-0.1.2/jointVIP/NEWS.md | 22 + jointVIP-0.1.2/jointVIP/R/general.R | 104 ++++---- jointVIP-0.1.2/jointVIP/R/measures.R | 40 +-- jointVIP-0.1.2/jointVIP/README.md | 8 jointVIP-0.1.2/jointVIP/build/vignette.rds |binary jointVIP-0.1.2/jointVIP/inst/CITATION |only jointVIP-0.1.2/jointVIP/inst/doc/additional_options.R | 16 - jointVIP-0.1.2/jointVIP/inst/doc/additional_options.Rmd | 31 +- jointVIP-0.1.2/jointVIP/inst/doc/additional_options.html | 179 +++++++------- jointVIP-0.1.2/jointVIP/inst/doc/jointVIP.R | 18 - jointVIP-0.1.2/jointVIP/inst/doc/jointVIP.Rmd | 22 - jointVIP-0.1.2/jointVIP/inst/doc/jointVIP.html | 191 +++++++-------- jointVIP-0.1.2/jointVIP/man/add_bias_curves.Rd |only jointVIP-0.1.2/jointVIP/man/bootstrap.plot.Rd | 6 jointVIP-0.1.2/jointVIP/man/create_post_jointVIP.Rd | 4 jointVIP-0.1.2/jointVIP/man/figures/README-plot-1.png |binary jointVIP-0.1.2/jointVIP/man/get_boot_measures.Rd | 4 jointVIP-0.1.2/jointVIP/man/get_measures.Rd | 4 jointVIP-0.1.2/jointVIP/man/get_post_measures.Rd | 4 jointVIP-0.1.2/jointVIP/man/plot.jointVIP.Rd | 6 jointVIP-0.1.2/jointVIP/man/plot.post_jointVIP.Rd | 6 jointVIP-0.1.2/jointVIP/man/print.jointVIP.Rd | 4 jointVIP-0.1.2/jointVIP/man/print.post_jointVIP.Rd | 4 jointVIP-0.1.2/jointVIP/man/summary.jointVIP.Rd | 4 jointVIP-0.1.2/jointVIP/man/summary.post_jointVIP.Rd | 4 jointVIP-0.1.2/jointVIP/tests/testthat/test-bootstrap.R | 1 jointVIP-0.1.2/jointVIP/tests/testthat/test-plot.R | 24 - jointVIP-0.1.2/jointVIP/tests/testthat/test-post.R | 37 ++ jointVIP-0.1.2/jointVIP/vignettes/additional_options.Rmd | 31 +- jointVIP-0.1.2/jointVIP/vignettes/jointVIP.Rmd | 22 - 33 files changed, 483 insertions(+), 397 deletions(-)
Title: Evolutionary Computation in R
Description: Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.
Author: Jakob Bossek [aut, cre, cph],
Michael H. Buselli [ctb, cph],
Wessel Dankers [ctb, cph],
Carlos M. Fonseca [ctb, cph],
Manuel Lopez-Ibanez [ctb, cph],
Luis Paquete [ctb, cph],
Joshua Knowles [ctb, cph],
Eckart Zitzler [ctb, cph],
Olaf Mersmann [ctb]
Maintainer: Jakob Bossek <j.bossek@gmail.com>
Diff between ecr versions 2.1.0 dated 2017-07-10 and 2.1.1 dated 2023-03-08
ecr-2.1.0/ecr/R/approximatePoints.R |only ecr-2.1.0/ecr/R/emoa.indicators.R |only ecr-2.1.0/ecr/man/normalizeFront.Rd |only ecr-2.1.0/ecr/src/init.c |only ecr-2.1.1/ecr/DESCRIPTION | 25 ecr-2.1.1/ecr/MD5 | 272 ++++--- ecr-2.1.1/ecr/NAMESPACE | 60 + ecr-2.1.1/ecr/NEWS | 43 + ecr-2.1.1/ecr/NEWS.md | 43 + ecr-2.1.1/ecr/R/PA.EMOA.approximatePoints.R |only ecr-2.1.1/ecr/R/PA.EMOA.approximateRefPoints.R |only ecr-2.1.1/ecr/R/PA.EMOA.approximateRefSets.R |only ecr-2.1.1/ecr/R/PA.EMOA.computeDominanceRanking.R |only ecr-2.1.1/ecr/R/PA.EMOA.dataprocessing.R |only ecr-2.1.1/ecr/R/PA.EMOA.indicators.R |only ecr-2.1.1/ecr/R/PA.EMOA.latex.formatters.R |only ecr-2.1.1/ecr/R/PA.EMOA.latex.utils.R |only ecr-2.1.1/ecr/R/PA.EMOA.makeEMOAIndicator.R |only ecr-2.1.1/ecr/R/PA.EMOA.normalize.R |only ecr-2.1.1/ecr/R/PA.EMOA.plotDistribution.R |only ecr-2.1.1/ecr/R/PA.EMOA.plotScatter.R |only ecr-2.1.1/ecr/R/PA.EMOA.plotScatter2d.R |only ecr-2.1.1/ecr/R/PA.EMOA.plotScatter3d.R |only ecr-2.1.1/ecr/R/PA.EMOA.summarize.R |only ecr-2.1.1/ecr/R/PA.EMOA.toLatex.R |only ecr-2.1.1/ecr/R/RcppExports.R |only ecr-2.1.1/ecr/R/Result.R | 3 ecr-2.1.1/ecr/R/checks.R |only ecr-2.1.1/ecr/R/computeAverageHausdorffDistance.R | 34 ecr-2.1.1/ecr/R/computeCrowdingDistance.R | 2 ecr-2.1.1/ecr/R/computeHV.R | 11 ecr-2.1.1/ecr/R/computeIndicators.R |only ecr-2.1.1/ecr/R/data.R |only ecr-2.1.1/ecr/R/doNondominatedSorting.R | 4 ecr-2.1.1/ecr/R/docs.parallelization.R | 2 ecr-2.1.1/ecr/R/dominates.R | 100 -- ecr-2.1.1/ecr/R/ecr.R | 9 ecr-2.1.1/ecr/R/emoa.as-emoa.R | 6 ecr-2.1.1/ecr/R/emoa.nsga2.R | 2 ecr-2.1.1/ecr/R/emoa.sms-emoa.R | 4 ecr-2.1.1/ecr/R/evaluateFitness.R | 2 ecr-2.1.1/ecr/R/getters.R | 6 ecr-2.1.1/ecr/R/logger.default.R | 59 + ecr-2.1.1/ecr/R/makeOperator.R | 2 ecr-2.1.1/ecr/R/makeRecombinator.R | 36 ecr-2.1.1/ecr/R/operator.mutator.bitflip.R | 4 ecr-2.1.1/ecr/R/operator.mutator.gauss.R | 18 ecr-2.1.1/ecr/R/operator.mutator.inversion.R | 1 ecr-2.1.1/ecr/R/operator.mutator.jump.R |only ecr-2.1.1/ecr/R/operator.mutator.polynomial.R | 31 ecr-2.1.1/ecr/R/operator.mutator.uniform.R | 9 ecr-2.1.1/ecr/R/operator.recombinator.sbx.R | 2 ecr-2.1.1/ecr/R/operator.selector.dominatedHypervolume.R | 26 ecr-2.1.1/ecr/R/operator.selector.greedy.R | 4 ecr-2.1.1/ecr/R/operator.selector.nondom.R | 6 ecr-2.1.1/ecr/R/operator.selector.ranking.R |only ecr-2.1.1/ecr/R/pareto.utils.R |only ecr-2.1.1/ecr/R/paretoArchive.R | 30 ecr-2.1.1/ecr/R/plotHeatmap.R |only ecr-2.1.1/ecr/R/registerECRObject.R | 4 ecr-2.1.1/ecr/R/replace.R | 8 ecr-2.1.1/ecr/R/select.R | 13 ecr-2.1.1/ecr/R/terminators.R | 34 ecr-2.1.1/ecr/R/transformFitness.R | 34 ecr-2.1.1/ecr/R/zzz.R | 16 ecr-2.1.1/ecr/build/vignette.rds |binary ecr-2.1.1/ecr/data |only ecr-2.1.1/ecr/inst/CITATION |only ecr-2.1.1/ecr/inst/doc/introduction.R | 10 ecr-2.1.1/ecr/inst/doc/introduction.Rmd | 2 ecr-2.1.1/ecr/inst/doc/introduction.html | 476 ++++++++++--- ecr-2.1.1/ecr/inst/doc/multiobjective.R |only ecr-2.1.1/ecr/inst/doc/multiobjective.Rmd |only ecr-2.1.1/ecr/inst/doc/multiobjective.html |only ecr-2.1.1/ecr/man/addUnionGroup.Rd |only ecr-2.1.1/ecr/man/approximateRefPoints.Rd |only ecr-2.1.1/ecr/man/approximateRefSets.Rd |only ecr-2.1.1/ecr/man/asemoa.Rd | 24 ecr-2.1.1/ecr/man/categorize.Rd |only ecr-2.1.1/ecr/man/computeAverageHausdorffDistance.Rd | 9 ecr-2.1.1/ecr/man/computeDistanceFromPointToSetOfPoints.Rd | 7 ecr-2.1.1/ecr/man/computeDominanceRanking.Rd |only ecr-2.1.1/ecr/man/computeGenerationalDistance.Rd | 9 ecr-2.1.1/ecr/man/computeIndicators.Rd |only ecr-2.1.1/ecr/man/computeInvertedGenerationalDistance.Rd | 9 ecr-2.1.1/ecr/man/dominated_hypervolume.Rd | 5 ecr-2.1.1/ecr/man/ecr.Rd | 43 - ecr-2.1.1/ecr/man/ecr_parallelization.Rd | 2 ecr-2.1.1/ecr/man/emoa_indicators.Rd | 145 +++ ecr-2.1.1/ecr/man/explode.Rd |only ecr-2.1.1/ecr/man/filterDuplicated.Rd |only ecr-2.1.1/ecr/man/generateOffspring.Rd | 18 ecr-2.1.1/ecr/man/generatesMultipleChildren.Rd |only ecr-2.1.1/ecr/man/generators.Rd | 1 ecr-2.1.1/ecr/man/getIndividuals.Rd | 8 ecr-2.1.1/ecr/man/getNumberOfChildren.Rd |only ecr-2.1.1/ecr/man/getNumberOfParentsNeededForMating.Rd |only ecr-2.1.1/ecr/man/getPopulationFitness.Rd |only ecr-2.1.1/ecr/man/getPopulations.Rd | 8 ecr-2.1.1/ecr/man/getSize.Rd | 8 ecr-2.1.1/ecr/man/getStatistics.Rd | 8 ecr-2.1.1/ecr/man/initLogger.Rd | 17 ecr-2.1.1/ecr/man/initParetoArchive.Rd | 7 ecr-2.1.1/ecr/man/makeEMOAIndicator.Rd |only ecr-2.1.1/ecr/man/makeOptimizationTask.Rd | 8 ecr-2.1.1/ecr/man/makeRecombinator.Rd | 8 ecr-2.1.1/ecr/man/makeSelector.Rd | 8 ecr-2.1.1/ecr/man/mcMST.Rd |only ecr-2.1.1/ecr/man/mutBitflip.Rd | 18 ecr-2.1.1/ecr/man/mutGauss.Rd | 22 ecr-2.1.1/ecr/man/mutInsertion.Rd | 14 ecr-2.1.1/ecr/man/mutInversion.Rd | 12 ecr-2.1.1/ecr/man/mutJump.Rd |only ecr-2.1.1/ecr/man/mutPolynomial.Rd | 36 ecr-2.1.1/ecr/man/mutScramble.Rd | 14 ecr-2.1.1/ecr/man/mutSwap.Rd | 14 ecr-2.1.1/ecr/man/mutUniform.Rd | 14 ecr-2.1.1/ecr/man/niceCellFormater.Rd |only ecr-2.1.1/ecr/man/normalize.Rd |only ecr-2.1.1/ecr/man/nsga2.Rd | 19 ecr-2.1.1/ecr/man/plotDistribution.Rd |only ecr-2.1.1/ecr/man/plotFront.Rd | 45 - ecr-2.1.1/ecr/man/plotHeatmap.Rd |only ecr-2.1.1/ecr/man/plotScatter2d.Rd |only ecr-2.1.1/ecr/man/plotScatter3d.Rd |only ecr-2.1.1/ecr/man/recCrossover.Rd | 10 ecr-2.1.1/ecr/man/recIntermediate.Rd | 10 ecr-2.1.1/ecr/man/recOX.Rd | 10 ecr-2.1.1/ecr/man/recPMX.Rd | 10 ecr-2.1.1/ecr/man/recSBX.Rd | 10 ecr-2.1.1/ecr/man/recUnifCrossover.Rd | 10 ecr-2.1.1/ecr/man/reduceToSingleDataFrame.Rd |only ecr-2.1.1/ecr/man/reference_point_approximation.Rd | 18 ecr-2.1.1/ecr/man/registerECROperator.Rd | 4 ecr-2.1.1/ecr/man/replace.Rd | 20 ecr-2.1.1/ecr/man/selDomHV.Rd | 22 ecr-2.1.1/ecr/man/selGreedy.Rd | 11 ecr-2.1.1/ecr/man/selNondom.Rd | 17 ecr-2.1.1/ecr/man/selRanking.Rd |only ecr-2.1.1/ecr/man/selRoulette.Rd | 11 ecr-2.1.1/ecr/man/selSimple.Rd | 11 ecr-2.1.1/ecr/man/selTournament.Rd | 11 ecr-2.1.1/ecr/man/setDominates.Rd |only ecr-2.1.1/ecr/man/smsemoa.Rd | 19 ecr-2.1.1/ecr/man/sortByObjective.Rd |only ecr-2.1.1/ecr/man/stoppingConditions.Rd | 18 ecr-2.1.1/ecr/man/toLatex.Rd |only ecr-2.1.1/ecr/man/toParetoDf.Rd |only ecr-2.1.1/ecr/man/transformFitness.Rd |only ecr-2.1.1/ecr/man/updateLogger.Rd | 8 ecr-2.1.1/ecr/man/updateParetoArchive.Rd | 7 ecr-2.1.1/ecr/man/which.dominated.Rd | 4 ecr-2.1.1/ecr/src/RcppExports.cpp |only ecr-2.1.1/ecr/src/dominance.c | 35 ecr-2.1.1/ecr/src/emoa.indicators.cpp |only ecr-2.1.1/ecr/tests/testthat/Rplots.pdf |only ecr-2.1.1/ecr/tests/testthat/helper_zzz.R | 17 ecr-2.1.1/ecr/tests/testthat/test_PA_dataprocessing.R |only ecr-2.1.1/ecr/tests/testthat/test_approximateRefPoints.R |only ecr-2.1.1/ecr/tests/testthat/test_dominates.R | 13 ecr-2.1.1/ecr/tests/testthat/test_ecr.R | 4 ecr-2.1.1/ecr/tests/testthat/test_emoa.R | 36 ecr-2.1.1/ecr/tests/testthat/test_emoa_indicators.R | 2 ecr-2.1.1/ecr/tests/testthat/test_logger.R | 15 ecr-2.1.1/ecr/tests/testthat/test_mutators.R | 8 ecr-2.1.1/ecr/tests/testthat/test_normalizeFront.R | 20 ecr-2.1.1/ecr/tests/testthat/test_paretoArchive.R | 29 ecr-2.1.1/ecr/tests/testthat/test_plotFront.R | 74 +- ecr-2.1.1/ecr/tests/testthat/test_selectors.R |only ecr-2.1.1/ecr/vignettes/introduction.Rmd | 2 ecr-2.1.1/ecr/vignettes/multiobjective.Rmd |only 171 files changed, 1802 insertions(+), 707 deletions(-)
Title: Model Wrappers for Discriminant Analysis
Description: Bindings for additional classification models for use with
the 'parsnip' package. Models include flavors of discriminant
analysis, such as linear (Fisher (1936)
<doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman
(1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie,
Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as
well as naive Bayes classifiers (Hand and Yu (2007)
<doi:10.1111/j.1751-5823.2001.tb00465.x>).
Author: Emil Hvitfeldt [aut, cre] ,
Max Kuhn [aut] ,
Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>
Diff between discrim versions 1.0.0 dated 2022-06-23 and 1.0.1 dated 2023-03-08
discrim-1.0.0/discrim/R/0_imports.R |only discrim-1.0.1/discrim/DESCRIPTION | 24 ++++++++++++------------ discrim-1.0.1/discrim/LICENSE | 2 +- discrim-1.0.1/discrim/MD5 | 17 +++++++++-------- discrim-1.0.1/discrim/NAMESPACE | 6 ------ discrim-1.0.1/discrim/NEWS.md | 4 ++++ discrim-1.0.1/discrim/R/aaa.R |only discrim-1.0.1/discrim/R/discrim-package.R | 4 +++- discrim-1.0.1/discrim/R/parameters.R | 4 +--- discrim-1.0.1/discrim/README.md |only discrim-1.0.1/discrim/man/discrim-package.Rd | 8 ++++---- 11 files changed, 34 insertions(+), 35 deletions(-)
Title: Analyzing Wildlife Data with Detection Error
Description: Models for analyzing site occupancy and count data models
with detection error, including single-visit based models,
conditional distance sampling and time-removal models.
Package development was supported by the
Alberta Biodiversity Monitoring Institute
and the Boreal Avian Modelling Project.
Author: Peter Solymos [cre, aut], Monica Moreno [aut], Subhash R. Lele [aut]
Maintainer: Peter Solymos <psolymos@gmail.com>
Diff between detect versions 0.4-5 dated 2022-11-07 and 0.4-6 dated 2023-03-08
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- NAMESPACE | 1 - R/update.formula.svisit.R | 2 +- R/update.svisit.R | 2 +- 5 files changed, 11 insertions(+), 12 deletions(-)
Title: Collective Matrix Factorization for Recommender Systems
Description: Collective matrix factorization (a.k.a. multi-view or multi-way factorization,
Singh, Gordon, (2008) <doi:10.1145/1401890.1401969>) tries to approximate a (potentially very sparse
or having many missing values) matrix 'X' as the product of two low-dimensional matrices,
optionally aided with secondary information matrices about rows and/or columns of 'X',
which are also factorized using the same latent components.
The intended usage is for recommender systems, dimensionality reduction, and missing value imputation.
Implements extensions of the original model (Cortes, (2018) <arXiv:1809.00366>) and can produce
different factorizations such as the weighted 'implicit-feedback' model (Hu, Koren, Volinsky,
(2008) <doi:10.1109/ICDM.2008.22>), the 'weighted-lambda-regularization' model,
(Zhou, Wilkinson, Schreiber, Pan, (2008) <doi:10.1007/978-3-540-68880-8_32>),
or the enhanced model with 'implicit features' (Rendle, Zhang,
Koren, (2019) <arXiv:1905.01395>), with [...truncated...]
Author: David Cortes [aut, cre, cph],
Jorge Nocedal [cph] ,
Naoaki Okazaki [cph] ,
David Blackman [cph] ,
Sebastiano Vigna [cph] ,
NumPy Developers [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Diff between cmfrec versions 3.5.0 dated 2022-11-26 and 3.5.1 dated 2023-03-08
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- inst/doc/cmfrec_vignette.html | 13 ++++++++++--- src/helpers.c | 10 ++++++---- 4 files changed, 23 insertions(+), 14 deletions(-)
Title: Interactive Grammar of Graphics
Description: An implementation of an interactive grammar of graphics, taking the
best parts of 'ggplot2', combining them with the reactive framework of
'shiny' and drawing web graphics using 'vega'.
Author: Winston Chang [aut, cre],
Hadley Wickham [aut],
RStudio [cph],
jQuery Foundation [cph] ,
jQuery contributors [ctb, cph] ,
jQuery UI contributors [ctb, cph] ,
Mike Bostock [ctb, cph] ,
D3 contributors [ctb] ,
Trifacta Inc. [cph] ,
Vega contributors [c [...truncated...]
Maintainer: Winston Chang <winston@rstudio.com>
Diff between ggvis versions 0.4.7 dated 2020-12-04 and 0.4.8 dated 2023-03-08
DESCRIPTION | 8 - MD5 | 28 ++--- NEWS.md | 18 ++- R/dplyr.R | 4 R/ggvis_html.R | 2 R/guide_props.R | 4 R/inputs.R | 2 R/options.R | 2 R/scale_ggvis.R | 2 R/utils_data.R | 8 - R/vega.R | 20 ++-- README.md | 8 - inst/www/lib/lodash/lodash.min.js | 188 +++++++++++++++++++++++++++----------- man/dplyr-ggvis.Rd | 4 man/input_slider.Rd | 25 ++--- 15 files changed, 207 insertions(+), 116 deletions(-)
Title: Lyrics and Song Data for Taylor Swift's Discography
Description: A comprehensive resource for data on Taylor Swift songs. Data is
included for all officially released studio albums, extended plays (EPs),
and individual singles are included. Data comes from
'Genius' (lyrics) and 'Spotify' (song characteristics). Additional functions
are included for easily creating data visualizations with color palettes
inspired by Taylor Swift's album covers.
Author: W. Jake Thompson [aut, cre, cph]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>
Diff between taylor versions 2.0.0 dated 2022-11-07 and 2.0.1 dated 2023-03-08
DESCRIPTION | 8 MD5 | 98 NEWS.md | 8 R/palette.R | 14 README.md | 6 data/taylor_album_songs.rda |binary data/taylor_albums.rda |binary data/taylor_all_songs.rda |binary tests/testthat/_snaps/ggplot2-color-scales/1989-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/1989-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/1989-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/albums-blank-bad-label.svg | 24 tests/testthat/_snaps/ggplot2-color-scales/albums-correct-factor.svg | 48 tests/testthat/_snaps/ggplot2-color-scales/albums-no-factor.svg | 48 tests/testthat/_snaps/ggplot2-color-scales/albums-random-factor.svg | 48 tests/testthat/_snaps/ggplot2-color-scales/albums-reverse-factor.svg | 48 tests/testthat/_snaps/ggplot2-color-scales/albums-specified-bad-label.svg | 24 tests/testthat/_snaps/ggplot2-color-scales/evermore-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/evermore-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/evermore-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/fearless-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/fearless-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/fearless-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/fearless-tv-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/fearless-tv-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/fearless-tv-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/folklore-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/folklore-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/folklore-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/lover-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/lover-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/lover-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/midnights-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/midnights-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/midnights-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/red-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/red-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/red-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/red-tv-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/red-tv-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/red-tv-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/reputation-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/reputation-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/reputation-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/speak-now-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/speak-now-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/speak-now-fill-d.svg | 30 tests/testthat/_snaps/ggplot2-color-scales/taylor-swift-fill-b.svg |11250 +++++----- tests/testthat/_snaps/ggplot2-color-scales/taylor-swift-fill-c.svg | 520 tests/testthat/_snaps/ggplot2-color-scales/taylor-swift-fill-d.svg | 30 50 files changed, 70991 insertions(+), 70983 deletions(-)
Title: Traveling Salesperson Problem (TSP)
Description: Basic infrastructure and some algorithms for the traveling
salesperson problem (also traveling salesman problem; TSP).
The package provides some simple algorithms and
an interface to the Concorde TSP solver and its implementation of the
Chained-Lin-Kernighan heuristic. The code for Concorde
itself is not included in the package and has to be obtained separately.
Hahsler and Hornik (2007) <doi:10.18637/jss.v023.i02>.
Author: Michael Hahsler [aut, cre, cph]
,
Kurt Hornik [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Diff between TSP versions 1.2-2 dated 2023-01-25 and 1.2-3 dated 2023-03-08
DESCRIPTION | 24 +++++++++++++----------- MD5 | 20 ++++++++++---------- NAMESPACE | 2 ++ NEWS.md | 8 ++++++++ R/ETSP.R | 12 +++++++----- R/TSP.R | 1 + R/tour_length.R | 12 ++++++------ README.md | 38 +++++++++++++++++++++----------------- inst/CITATION | 38 ++++++++++++++++++++------------------ inst/doc/TSP.pdf |binary man/ETSP.Rd | 12 +++++------- 11 files changed, 93 insertions(+), 74 deletions(-)
Title: Automatically Print R Objects to Appropriate Formats According
to the 'knitr' Output Format
Description: Extends the S3 generic function knit_print() in 'knitr'
to automatically print some objects using an appropriate format such as
Markdown or LaTeX. For example, data frames are automatically printed as
tables, and the help() pages can also be rendered in 'knitr' documents.
Author: Yihui Xie [aut, cre]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between printr versions 0.2 dated 2021-09-27 and 0.3 dated 2023-03-08
DESCRIPTION | 15 MD5 | 14 NEWS.md | 4 R/help.R | 39 -- R/table.R | 2 README.md | 9 build/vignette.rds |binary inst/doc/printr.html | 947 ++++++++++++++++++++++++++++++++++++--------------- 8 files changed, 717 insertions(+), 313 deletions(-)
Title: Hyperparameter Optimization for 'mlr3'
Description: Hyperparameter optimization package of the 'mlr3' ecosystem. It
features highly configurable search spaces via the 'paradox' package and
finds optimal hyperparameter configurations for any 'mlr3' learner.
'mlr3tuning' works with several optimization algorithms e.g. Random
Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and
Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize
learners and estimate the performance of optimized models with nested
resampling.
Author: Marc Becker [cre, aut] ,
Michel Lang [aut] ,
Jakob Richter [aut] ,
Bernd Bischl [aut] ,
Daniel Schalk [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>
Diff between mlr3tuning versions 0.17.2 dated 2022-12-22 and 0.18.0 dated 2023-03-08
DESCRIPTION | 6 - MD5 | 100 ++++++++++----------- NEWS.md | 10 ++ R/ArchiveTuning.R | 4 R/AutoTuner.R | 25 +++-- R/Tuner.R | 15 ++- R/TunerCmaes.R | 2 R/TunerDesignPoints.R | 2 R/TunerIrace.R | 2 R/TunerNLoptr.R | 2 R/TuningInstanceMulticrit.R | 9 + R/TuningInstanceSingleCrit.R | 39 +++++++- R/auto_tuner.R | 47 ++++++--- R/extract_inner_tuning_archives.R | 2 R/extract_inner_tuning_results.R | 2 R/mlr_callbacks.R | 5 - R/sugar.R | 16 +++ R/tune.R | 40 +++++--- R/tune_nested.R | 53 +++++++---- README.md | 30 ++++-- man/AutoTuner.Rd | 51 ++++++++-- man/Tuner.Rd | 18 +++ man/TuningInstanceMultiCrit.Rd | 8 - man/TuningInstanceSingleCrit.Rd | 43 ++++++++- man/auto_tuner.Rd | 59 +++++++++--- man/extract_inner_tuning_archives.Rd | 2 man/extract_inner_tuning_results.Rd | 2 man/mlr3tuning.backup.Rd | 3 man/mlr3tuning.early_stopping.Rd | 2 man/mlr_tuners_cmaes.Rd | 11 +- man/mlr_tuners_design_points.Rd | 11 +- man/mlr_tuners_gensa.Rd | 11 +- man/mlr_tuners_grid_search.Rd | 11 +- man/mlr_tuners_irace.Rd | 11 +- man/mlr_tuners_nloptr.Rd | 11 +- man/mlr_tuners_random_search.Rd | 11 +- man/ti.Rd | 32 +++++- man/tune.Rd | 52 +++++++--- man/tune_nested.Rd | 69 ++++++++++++-- tests/testthat/test_ArchiveTuning.R | 8 - tests/testthat/test_AutoTuner.R | 48 ++++------ tests/testthat/test_TunerCmaes.R | 2 tests/testthat/test_TunerGridSearch.R | 18 +-- tests/testthat/test_TuningInstanceMultiCrit.R | 15 +-- tests/testthat/test_TuningInstanceSingleCrit.R | 10 -- tests/testthat/test_auto_tuner.R | 12 +- tests/testthat/test_extract_inner_tuning_results.R | 4 tests/testthat/test_hotstart.R | 24 +---- tests/testthat/test_mlr_callbacks.R | 15 +-- tests/testthat/test_tune.R | 37 ++----- tests/testthat/test_tune_nested.R | 4 51 files changed, 687 insertions(+), 339 deletions(-)
More information about MacroZooBenthosWaterA at CRAN
Permanent link
Title: Collection of Tools for LGD Rating Model Development
Description: The goal of this package is to cover the most common steps in Loss Given Default (LGD) rating model development.
The main procedures available are those that refer to bivariate and multivariate analysis. In particular two statistical methods for
multivariate analysis are currently implemented – OLS regression and fractional logistic regression.
Both methods are also available within different blockwise model designs and both have customized stepwise algorithms.
Descriptions of these customized designs are available in Siddiqi (2016) <doi:10.1002/9781119282396.ch10> and
Anderson, R.A. (2021) <doi:10.1093/oso/9780192844194.001.0001>.
Although they are explained for PD model, the same designs are applicable for LGD model with different underlying regression methods
(OLS and fractional logistic regression). To cover other important steps for LGD model development, it is recommended to use
'LGDtoolkit' package along with 'PDtoolkit', and 'monobin' (or 'monobinShiny') packages.
Author: Andrija Djurovic [aut, cre]
Maintainer: Andrija Djurovic <djandrija@gmail.com>
Diff between LGDtoolkit versions 0.0.9 dated 2023-01-30 and 0.1.0 dated 2023-03-08
DESCRIPTION | 6 +++--- MD5 | 13 +++++++------ NEWS.md |only R/03_STEP_FWD.R | 12 +++++++++--- R/04_STEP_RPC.R | 8 ++++---- README.md | 2 +- man/stepFWD.Rd | 4 ++-- man/stepRPC.Rd | 8 ++++---- 8 files changed, 30 insertions(+), 23 deletions(-)
More information about DrugExposureDiagnostics at CRAN
Permanent link
Title: Hierarchical Bayesian Vector Autoregression
Description: Estimation of hierarchical Bayesian vector autoregressive models
following Kuschnig & Vashold (2021) <doi:10.18637/jss.v100.i14>.
Implements hierarchical prior selection for conjugate priors in the fashion
of Giannone, Lenza & Primiceri (2015) <doi:10.1162/REST_a_00483>.
Functions to compute and identify impulse responses, calculate forecasts,
forecast error variance decompositions and scenarios are available.
Several methods to print, plot and summarise results facilitate analysis.
Author: Nikolas Kuschnig [aut, cre] ,
Lukas Vashold [aut] ,
Nirai Tomass [ctb],
Michael McCracken [dtc],
Serena Ng [dtc]
Maintainer: Nikolas Kuschnig <nikolas.kuschnig@wu.ac.at>
Diff between BVAR versions 1.0.3 dated 2022-02-25 and 1.0.4 dated 2023-03-08
DESCRIPTION | 12 +++++++----- MD5 | 28 ++++++++++++++-------------- NEWS.md | 8 ++++++++ R/11_input.R | 29 +++++++++++++++++++++++++---- build/partial.rdb |binary build/vignette.rds |binary data/fred_md.rda |binary data/fred_qd.rda |binary inst/doc/article.pdf |binary inst/fred_trans.csv | 2 +- man/bv_dummy.Rd | 17 +++++------------ man/bv_minnesota.Rd | 8 ++++---- man/density.bvar.Rd | 7 +------ man/fred_qd.Rd | 2 +- man/par_bvar.Rd | 5 +---- 15 files changed, 67 insertions(+), 51 deletions(-)
Title: Tools for Modeling Bumblebee Colony Growth and Decline
Description: Bumblebee colonies grow during worker production, then decline after switching to production of reproductive individuals (drones and gynes). This package provides tools for modeling and visualizing this pattern by identifying a switchpoint with a growth rate before and a decline rate after the switchpoint. The mathematical models fit by bumbl are described in Crone and Williams (2016) <doi:10.1111/ele.12581>.
Author: Eric R. Scott [aut, cre]
Maintainer: Eric R. Scott <scottericr@gmail.com>
Diff between bumbl versions 1.0.2 dated 2022-05-13 and 1.0.3 dated 2023-03-08
bumbl-1.0.2/bumbl/tests/testthat/Rplots.pdf |only bumbl-1.0.3/bumbl/DESCRIPTION | 10 bumbl-1.0.3/bumbl/MD5 | 33 +- bumbl-1.0.3/bumbl/NAMESPACE | 1 bumbl-1.0.3/bumbl/NEWS.md | 5 bumbl-1.0.3/bumbl/R/bumbl-package.R |only bumbl-1.0.3/bumbl/R/colony-growth.R | 6 bumbl-1.0.3/bumbl/R/plotting.R | 27 +- bumbl-1.0.3/bumbl/README.md | 68 ++--- bumbl-1.0.3/bumbl/build/partial.rdb |only bumbl-1.0.3/bumbl/build/vignette.rds |binary bumbl-1.0.3/bumbl/inst/CITATION | 10 bumbl-1.0.3/bumbl/inst/doc/bumbl.html | 161 ++++++------ bumbl-1.0.3/bumbl/man/autoplot.bumbldf.Rd | 9 bumbl-1.0.3/bumbl/man/bumbl-package.Rd |only bumbl-1.0.3/bumbl/man/figures/lifecycle-archived.svg |only bumbl-1.0.3/bumbl/man/figures/lifecycle-defunct.svg |only bumbl-1.0.3/bumbl/man/figures/lifecycle-deprecated.svg |only bumbl-1.0.3/bumbl/man/figures/lifecycle-experimental.svg |only bumbl-1.0.3/bumbl/man/figures/lifecycle-maturing.svg |only bumbl-1.0.3/bumbl/man/figures/lifecycle-questioning.svg |only bumbl-1.0.3/bumbl/man/figures/lifecycle-soft-deprecated.svg |only bumbl-1.0.3/bumbl/man/figures/lifecycle-stable.svg |only bumbl-1.0.3/bumbl/man/figures/lifecycle-superseded.svg |only 24 files changed, 184 insertions(+), 146 deletions(-)
Title: Read and Write General Transit Feed Specification (GTFS) Files
Description: Tools for the development of packages related to General
Transit Feed Specification (GTFS) files. Establishes a standard for
representing GTFS feeds using R data types. Provides fast and flexible
functions to read and write GTFS feeds while sticking to this
standard. Defines a basic 'gtfs' class which is meant to be extended
by packages that depend on it. And offers utility functions that
support checking the structure of GTFS objects.
Author: Daniel Herszenhut [aut, cre] ,
Flavio Poletti [aut],
Mark Padgham [aut],
Rafael H. M. Pereira [rev] ,
Tom Buckley [rev],
Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>
Diff between gtfsio versions 1.0.0 dated 2021-11-06 and 1.1.0 dated 2023-03-08
gtfsio-1.0.0/gtfsio/inst/CITATION |only gtfsio-1.0.0/gtfsio/man/gtfsio.Rd |only gtfsio-1.1.0/gtfsio/DESCRIPTION | 8 gtfsio-1.1.0/gtfsio/MD5 | 37 - gtfsio-1.1.0/gtfsio/NEWS.md | 15 gtfsio-1.1.0/gtfsio/R/checks.R | 6 gtfsio-1.1.0/gtfsio/R/export_gtfs.R | 8 gtfsio-1.1.0/gtfsio/R/get_gtfs_standards.R | 404 ++++++++++-------- gtfsio-1.1.0/gtfsio/R/gtfsio.R | 3 gtfsio-1.1.0/gtfsio/R/gtfsio_error.R | 4 gtfsio-1.1.0/gtfsio/R/import_gtfs.R | 55 +- gtfsio-1.1.0/gtfsio/README.md | 62 -- gtfsio-1.1.0/gtfsio/build/vignette.rds |binary gtfsio-1.1.0/gtfsio/inst/doc/gtfsio.html | 16 gtfsio-1.1.0/gtfsio/inst/extdata/nested_gtfs.zip |only gtfsio-1.1.0/gtfsio/inst/tinytest/test_export_gtfs.R | 9 gtfsio-1.1.0/gtfsio/inst/tinytest/test_gtfsio_error.R | 15 gtfsio-1.1.0/gtfsio/inst/tinytest/test_import_gtfs.R | 78 +++ gtfsio-1.1.0/gtfsio/man/figures |only gtfsio-1.1.0/gtfsio/man/get_gtfs_standards.Rd | 26 - gtfsio-1.1.0/gtfsio/man/gtfsio-package.Rd |only gtfsio-1.1.0/gtfsio/man/translate_types.Rd | 9 22 files changed, 458 insertions(+), 297 deletions(-)
Title: Snow Profile Analysis for Snowpack and Avalanche Research
Description: Analysis and plotting tools for snow profile data produced from manual snowpack
observations and physical snowpack models. The functions in this package support snowpack
and avalanche research by reading various formats of data (including CAAML, SMET,
generic csv, and outputs from the snow cover model SNOWPACK), manipulate the data, and
produce graphics such as stratigraphy and time series profiles. Package developed by
the Simon Fraser University Avalanche Research Program <http://www.avalancheresearch.ca>.
Graphics apply visualization concepts from Horton, Nowak, and Haegeli (2020,
<doi:10.5194/nhess-20-1557-2020>).
Author: Pascal Haegeli [aut, cre],
Simon Horton [aut],
Florian Herla [aut],
SFU Avalanche Research Program [fnd]
Maintainer: Pascal Haegeli <pascal_haegeli@sfu.ca>
Diff between sarp.snowprofile versions 1.3.1 dated 2022-08-05 and 1.3.2 dated 2023-03-08
DESCRIPTION | 12 +-- MD5 | 28 ++++---- NEWS.md | 5 + R/computeRTA.R | 63 +++++++++++++++--- R/plot.snowprofileSet.R | 4 - build/partial.rdb |binary build/vignette.rds |binary inst/doc/sarp.snowprofile.html | 125 +++++++++++++++++++------------------ man/computeRTA.Rd | 34 +++++++--- man/computeTSA.Rd | 6 - man/deriveDatetag.Rd | 8 +- man/findPWL.Rd | 6 - man/plot.snowprofileSet.Rd | 3 man/sarp.snowprofile-package.Rd | 2 man/snowprofileInstabilitySigns.Rd | 4 - 15 files changed, 187 insertions(+), 113 deletions(-)
More information about sarp.snowprofile at CRAN
Permanent link
Title: Tools for Multiple Imputation in Multilevel Modeling
Description: Provides tools for multiple imputation of missing data in multilevel
modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo',
and several functions for visualization, data management and the analysis
of multiply imputed data sets.
Author: Simon Grund [aut,cre], Alexander Robitzsch [aut], Oliver Luedtke [aut]
Maintainer: Simon Grund <simon.grund@uni-hamburg.de>
Diff between mitml versions 0.4-4 dated 2023-01-06 and 0.4-5 dated 2023-03-08
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- R/internal-methods-estimates.R | 6 +++--- R/internal-methods-likelihood.R | 13 ++++++++----- R/internal-methods-zzz.R | 8 ++++---- inst/doc/Analysis.html | 2 +- inst/doc/Introduction.html | 2 +- inst/doc/Level2.html | 2 +- 8 files changed, 29 insertions(+), 26 deletions(-)
Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized
linear, and mixed models. Compute contrasts or linear functions of EMMs,
trends, and comparisons of slopes. Plots and other displays.
Least-squares means are discussed, and the term "estimated marginal means"
is suggested, in Searle, Speed, and Milliken (1980) Population marginal means
in the linear model: An alternative to least squares means, The American
Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph],
Ben Bolker [ctb],
Paul Buerkner [ctb],
Iago Gine-Vazquez [ctb],
Maxime Herve [ctb],
Maarten Jung [ctb],
Jonathon Love [ctb],
Fernando Miguez [ctb],
Hannes Riebl [ctb],
Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>
Diff between emmeans versions 1.8.4-1 dated 2023-01-17 and 1.8.5 dated 2023-03-08
DESCRIPTION | 10 MD5 | 124 ++--- NAMESPACE | 5 NEWS.md | 43 + R/0nly-internal.R | 38 + R/MCMC-support.R | 3 R/aovlist-support.R | 5 R/contrast.R | 5 R/countreg-support.R | 19 R/emm-contr.R | 10 R/emm-list.R | 42 + R/emmGrid-methods.R | 11 R/emmeans.R | 9 R/emmip.R | 21 R/helpers.R | 17 R/interfacing.R | 5 R/multiple-models.R | 22 R/plot.emm.R | 6 R/ref-grid.R | 21 R/summary.R | 68 ++ R/test.R | 27 - R/transformations.R | 2 R/zzz.R | 8 build/vignette.rds |binary inst/doc/AQuickStart.Rmd | 4 inst/doc/AQuickStart.html | 6 inst/doc/FAQs.html | 8 inst/doc/basics.R | 148 ++---- inst/doc/basics.Rmd | 643 ++++++++++++++------------ inst/doc/basics.html | 899 ++++++++++++++++++++----------------- inst/doc/comparisons.html | 8 inst/doc/confidence-intervals.R | 44 - inst/doc/confidence-intervals.Rmd | 70 +- inst/doc/confidence-intervals.html | 248 +++++----- inst/doc/interactions.html | 18 inst/doc/messy-data.html | 4 inst/doc/models.html | 4 inst/doc/predictions.html | 4 inst/doc/re-engineering-clds.html | 4 inst/doc/sophisticated.html | 8 inst/doc/transformations.R | 34 - inst/doc/transformations.Rmd | 60 +- inst/doc/transformations.html | 91 +-- inst/doc/utilities.html | 4 inst/doc/vignette-topics.Rmd | 91 ++- inst/doc/vignette-topics.html | 123 +++-- inst/doc/xplanations.html | 4 inst/doc/xtending.html | 8 man/contrast.Rd | 5 man/emm_options.Rd | 4 man/emmeans.Rd | 9 man/emmip.Rd | 6 man/extending-emmeans.Rd | 108 ++++ man/hpd.summary.Rd | 2 man/ref_grid.Rd | 4 man/regrid.Rd | 4 man/summary.emmGrid.Rd | 31 + man/update.emmGrid.Rd | 2 vignettes/AQuickStart.Rmd | 4 vignettes/basics.Rmd | 643 ++++++++++++++------------ vignettes/confidence-intervals.Rmd | 70 +- vignettes/transformations.Rmd | 60 +- vignettes/vignette-topics.Rmd | 91 ++- 63 files changed, 2434 insertions(+), 1665 deletions(-)
Title: Dynamic Trees for Learning and Design
Description: Inference by sequential Monte Carlo for
dynamic tree regression and classification models
with hooks provided for sequential design and optimization,
fully online learning with drift, variable selection, and
sensitivity analysis of inputs. Illustrative
examples from the original dynamic trees paper
(Gramacy, Taddy & Polson (2011); <doi:10.1198/jasa.2011.ap09769>) are facilitated
by demos in the package; see demo(package="dynaTree").
Author: Robert B. Gramacy <rbg@vt.edu>, Matt A. Taddy and Christoforos Anagnostopoulos
Maintainer: Robert B. Gramacy <rbg@vt.edu>
Diff between dynaTree versions 1.2-14 dated 2022-10-19 and 1.2-15 dated 2023-03-08
ChangeLog | 6 ++++++ DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/dynaTree.R | 5 +++-- R/predict.R | 15 +++++++++------ 5 files changed, 26 insertions(+), 16 deletions(-)
Title: Wrangle Campaign Finance Data
Description: Explore and normalize American campaign finance
data. Created by the Investigative Reporting Workshop to facilitate
work on The Accountability Project, an effort to collect public data
into a central, standard database that is more easily searched:
<https://publicaccountability.org/>.
Author: Kiernan Nicholls [aut, cre, cph],
Investigative Reporting Workshop [cph],
Yanqi Xu [aut],
Schuyler Erle [cph]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>
Diff between campfin versions 1.0.9 dated 2022-05-24 and 1.0.10 dated 2023-03-08
campfin-1.0.10/campfin/DESCRIPTION | 8 campfin-1.0.10/campfin/MD5 | 25 +- campfin-1.0.10/campfin/NAMESPACE | 4 campfin-1.0.10/campfin/NEWS.md | 5 campfin-1.0.10/campfin/R/add-prop.R | 3 campfin-1.0.10/campfin/R/url-file-size.R | 2 campfin-1.0.10/campfin/R/use-diary.R | 56 ++--- campfin-1.0.10/campfin/build/vignette.rds |binary campfin-1.0.10/campfin/inst/doc/normalize-geography.html | 162 +++++++-------- campfin-1.0.10/campfin/man/rx_break.Rd | 2 campfin-1.0.10/campfin/man/url_file_size.Rd | 3 campfin-1.0.10/campfin/man/use_diary.Rd | 23 +- campfin-1.0.9/campfin/R/count-char.R |only campfin-1.0.9/campfin/man/count.character.Rd |only campfin-1.0.9/campfin/tests/testthat/test-count-char.R |only 15 files changed, 156 insertions(+), 137 deletions(-)
Title: Cluster Wild Bootstrapping for Meta-Analysis
Description: Conducts single coefficient tests and multiple-contrast hypothesis tests of meta-regression models using cluster wild bootstrapping, based on methods examined in Joshi, Pustejovsky, and Beretvas (2022) <DOI:10.1002/jrsm.1554>.
Author: Megha Joshi [aut, cre] ,
James Pustejovsky [aut] ,
Pierce Cappelli [aut]
Maintainer: Megha Joshi <megha.j456@gmail.com>
Diff between wildmeta versions 0.3.1 dated 2023-02-15 and 0.3.2 dated 2023-03-08
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/rma.R | 10 +++++----- R/robu.R | 12 ++++++------ inst/doc/cwbmeta.html | 8 ++++---- 5 files changed, 22 insertions(+), 22 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 [aut, cre],
Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>
Diff between NNS versions 0.9.6 dated 2023-03-08 and 0.9.6.1 dated 2023-03-08
DESCRIPTION | 6 ++-- MD5 | 16 ++++++------ R/Boost.R | 25 ++++++++----------- R/Regression.R | 14 ++++++---- R/Stack.R | 5 +-- inst/doc/NNSvignette_Classification.R | 16 ++++++------ inst/doc/NNSvignette_Classification.Rmd | 16 ++++++------ inst/doc/NNSvignette_Classification.html | 40 ++++++++++++++++--------------- vignettes/NNSvignette_Classification.Rmd | 16 ++++++------ 9 files changed, 80 insertions(+), 74 deletions(-)
Title: Multicountry Term Structure of Interest Rates Models
Description: Estimation routines for several classes of affine term structure of interest rates models. All the models are based on the single-country unspanned macroeconomic risk framework from Joslin, Priebsch, and Singleton (2014) <doi:10.1111/jofi.12131>. Multicountry extensions such as the ones of Jotikasthira, Le, and Lundblad (2015) <doi:10.1016/j.jfineco.2014.09.004> and Candelon and Moura (2021) <http://hdl.handle.net/2078.1/249985> are also available.
Author: Rubens Moura
Maintainer: Rubens Moura <rubens.gtmoura@gmail.com>
Diff between MultiATSM versions 0.2.4 dated 2022-10-03 and 0.3.1 dated 2023-03-08
DESCRIPTION | 8 MD5 | 93 ++- NAMESPACE | 2 R/A0N__computeBnAn.R | 12 R/AuxiliarBootstrapFunctions.R | 2 R/BiasCorrection.R |only R/Bootstrap.R | 10 R/DataForEstimation.R | 20 R/Folder_Creation.R | 62 +- R/ForecastYields.R | 29 - R/GVAR.R | 2 R/GraphicalOutputs.R | 258 ++++++++++ R/InputsForMLEdensity.R | 34 + R/InputsForOutputs.R | 40 + R/JLL.R | 9 R/ListModelInputs.R |only R/MLEdensity.R | 48 - R/NumOutputs.R | 723 ++++++++++++++++++++++++++++ R/Optimization.R | 9 R/f_with_vectorized_parameters.R | 9 R/getx.R | 22 inst/doc/my-vignette.R | 370 ++++++++------ inst/doc/my-vignette.Rmd | 417 +++++++++------- inst/doc/my-vignette.html | 974 ++++++++++++++++++++------------------- man/A0N__computeBnAn_jointQ.Rd | 4 man/A0N__computeBnAn_sepQ.Rd | 4 man/Bias_Correc_VAR.Rd |only man/Bootstrap.Rd | 5 man/DataForEstimation.Rd | 18 man/ForecastYields.Rd | 5 man/ForecastYieldsJointQ.Rd | 5 man/ForecastYieldsSepQ.Rd | 5 man/GFEVDgraphsJoint.Rd | 4 man/GVAR.Rd | 2 man/InputsForMLEdensity.Rd | 7 man/InputsForMLEdensity_BS.Rd | 5 man/InputsForOutputs.Rd | 10 man/JLL.Rd | 8 man/ListModelInputs.Rd |only man/NumOutputs.Rd | 8 man/OutputConstructionJoint.Rd | 9 man/OutputConstructionSep.Rd | 9 man/TPDecompGraphJoint.Rd |only man/TPDecompGraphSep.Rd |only man/TermPremiaDecompJoint.Rd |only man/TermPremiaDecompSep.Rd |only man/YieldsFitAllJoint.Rd |only man/YieldsFitAllSep.Rd |only man/estVARbrw.Rd |only man/genVARbrw.Rd |only man/m_var.Rd |only man/shrink_Phi.Rd |only vignettes/build |only vignettes/my-vignette.Rmd | 417 +++++++++------- vignettes/references.bib | 139 +++-- 55 files changed, 2567 insertions(+), 1250 deletions(-)
Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional
data frame.
Author: Kirill Mueller [aut, cre] ,
Hadley Wickham [aut],
Romain Francois [ctb],
Jennifer Bryan [ctb],
RStudio [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>
Diff between tibble versions 3.1.8 dated 2022-07-22 and 3.2.0 dated 2023-03-08
tibble-3.1.8/tibble/R/legacy-compat.R |only tibble-3.1.8/tibble/R/subsetting.R |only tibble-3.1.8/tibble/man/knit_print.trunc_mat.Rd |only tibble-3.1.8/tibble/tests/testthat/_snaps/pillar-1.6.5 |only tibble-3.1.8/tibble/tests/testthat/_snaps/rlang-0 |only tibble-3.1.8/tibble/tests/testthat/_snaps/rlang-1 |only tibble-3.1.8/tibble/tests/testthat/_snaps/zzz-trunc-mat.md |only tibble-3.1.8/tibble/tests/testthat/test-legacy-compat.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-add.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-data-frame.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-enframe.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-glimpse.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-has-name.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-lst.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-matrix.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-msg-format.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-msg.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-name-repair.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-options.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-rownames.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-string-to-indices.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-syntactic-names.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-tbl-df.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-tidy_names.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-tribble.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-trunc-mat.R |only tibble-3.1.8/tibble/tests/testthat/test-zzz-type_sum.R |only tibble-3.2.0/tibble/DESCRIPTION | 33 tibble-3.2.0/tibble/MD5 | 248 - tibble-3.2.0/tibble/NAMESPACE | 3 tibble-3.2.0/tibble/NEWS.md | 63 tibble-3.2.0/tibble/R/add.R | 58 tibble-3.2.0/tibble/R/as_tibble.R | 70 tibble-3.2.0/tibble/R/compat-lazyeval.R | 6 tibble-3.2.0/tibble/R/deprecated.R | 18 tibble-3.2.0/tibble/R/dftbl.R | 42 tibble-3.2.0/tibble/R/enframe.R | 21 tibble-3.2.0/tibble/R/error.R | 21 tibble-3.2.0/tibble/R/names.R | 42 tibble-3.2.0/tibble/R/new.R | 41 tibble-3.2.0/tibble/R/print.R | 272 - tibble-3.2.0/tibble/R/rownames.R | 8 tibble-3.2.0/tibble/R/sub.R |only tibble-3.2.0/tibble/R/subassign-backend.R |only tibble-3.2.0/tibble/R/subassign.R |only tibble-3.2.0/tibble/R/subsetting-matrix.R | 36 tibble-3.2.0/tibble/R/tbl_df.R | 50 tibble-3.2.0/tibble/R/tibble-package.R | 47 tibble-3.2.0/tibble/R/tibble.R | 28 tibble-3.2.0/tibble/R/tribble.R | 74 tibble-3.2.0/tibble/R/utils-msg-format.R | 30 tibble-3.2.0/tibble/README.md | 92 tibble-3.2.0/tibble/build/vignette.rds |binary tibble-3.2.0/tibble/inst/doc/digits.R | 1 tibble-3.2.0/tibble/inst/doc/digits.Rmd | 1 tibble-3.2.0/tibble/inst/doc/digits.html | 125 tibble-3.2.0/tibble/inst/doc/extending.R |only tibble-3.2.0/tibble/inst/doc/extending.Rmd | 70 tibble-3.2.0/tibble/inst/doc/extending.html | 222 tibble-3.2.0/tibble/inst/doc/formats.R | 66 tibble-3.2.0/tibble/inst/doc/formats.Rmd | 66 tibble-3.2.0/tibble/inst/doc/formats.html | 332 - tibble-3.2.0/tibble/inst/doc/invariants.R | 4 tibble-3.2.0/tibble/inst/doc/invariants.Rmd | 10 tibble-3.2.0/tibble/inst/doc/invariants.html | 2247 ++++------ tibble-3.2.0/tibble/inst/doc/numbers.R | 4 tibble-3.2.0/tibble/inst/doc/numbers.Rmd | 4 tibble-3.2.0/tibble/inst/doc/numbers.html | 161 tibble-3.2.0/tibble/inst/doc/tibble.R | 4 tibble-3.2.0/tibble/inst/doc/tibble.Rmd | 7 tibble-3.2.0/tibble/inst/doc/tibble.html | 149 tibble-3.2.0/tibble/inst/doc/types.R | 32 tibble-3.2.0/tibble/inst/doc/types.Rmd | 44 tibble-3.2.0/tibble/inst/doc/types.html | 133 tibble-3.2.0/tibble/man/as_tibble.Rd | 10 tibble-3.2.0/tibble/man/new_tibble.Rd | 4 tibble-3.2.0/tibble/man/subsetting.Rd | 20 tibble-3.2.0/tibble/man/tibble-package.Rd | 9 tibble-3.2.0/tibble/tests/testthat/_snaps/add.md | 38 tibble-3.2.0/tibble/tests/testthat/_snaps/as_tibble.md | 102 tibble-3.2.0/tibble/tests/testthat/_snaps/enframe.md | 2 tibble-3.2.0/tibble/tests/testthat/_snaps/error.md | 6 tibble-3.2.0/tibble/tests/testthat/_snaps/msg.md | 175 tibble-3.2.0/tibble/tests/testthat/_snaps/names.md | 2 tibble-3.2.0/tibble/tests/testthat/_snaps/new.md | 4 tibble-3.2.0/tibble/tests/testthat/_snaps/print.md | 36 tibble-3.2.0/tibble/tests/testthat/_snaps/rownames.md | 8 tibble-3.2.0/tibble/tests/testthat/_snaps/str.md | 19 tibble-3.2.0/tibble/tests/testthat/_snaps/subsetting-matrix.md |only tibble-3.2.0/tibble/tests/testthat/_snaps/subsetting.md | 533 +- tibble-3.2.0/tibble/tests/testthat/_snaps/tbl_df.md | 5 tibble-3.2.0/tibble/tests/testthat/_snaps/tibble.md | 8 tibble-3.2.0/tibble/tests/testthat/_snaps/tribble.md | 18 tibble-3.2.0/tibble/tests/testthat/_snaps/utils-msg-format.md | 12 tibble-3.2.0/tibble/tests/testthat/_snaps/vignette-extending/extending.md | 110 tibble-3.2.0/tibble/tests/testthat/_snaps/vignette-formats/formats.md | 67 tibble-3.2.0/tibble/tests/testthat/_snaps/vignette-invariants/invariants.md | 1691 +------ tibble-3.2.0/tibble/tests/testthat/_snaps/vignette-numbers/numbers.md | 6 tibble-3.2.0/tibble/tests/testthat/_snaps/vignette-tibble/tibble.md | 22 tibble-3.2.0/tibble/tests/testthat/helper-error.R | 4 tibble-3.2.0/tibble/tests/testthat/helper-expectations.R | 30 tibble-3.2.0/tibble/tests/testthat/helper-pillar.R | 26 tibble-3.2.0/tibble/tests/testthat/helper-zzz.R | 12 tibble-3.2.0/tibble/tests/testthat/setup.R |only tibble-3.2.0/tibble/tests/testthat/test-add.R | 38 tibble-3.2.0/tibble/tests/testthat/test-as_tibble.R | 141 tibble-3.2.0/tibble/tests/testthat/test-enframe.R | 11 tibble-3.2.0/tibble/tests/testthat/test-error.R | 26 tibble-3.2.0/tibble/tests/testthat/test-msg.R | 146 tibble-3.2.0/tibble/tests/testthat/test-names.R | 10 tibble-3.2.0/tibble/tests/testthat/test-new.R | 56 tibble-3.2.0/tibble/tests/testthat/test-print.R | 13 tibble-3.2.0/tibble/tests/testthat/test-rownames.R | 26 tibble-3.2.0/tibble/tests/testthat/test-str.R | 10 tibble-3.2.0/tibble/tests/testthat/test-subsetting-matrix.R | 4 tibble-3.2.0/tibble/tests/testthat/test-subsetting.R | 69 tibble-3.2.0/tibble/tests/testthat/test-tibble.R | 32 tibble-3.2.0/tibble/tests/testthat/test-tribble.R | 36 tibble-3.2.0/tibble/tests/testthat/test-utils-msg-format.R | 12 tibble-3.2.0/tibble/tests/testthat/test-vignette-formats.R | 1 tibble-3.2.0/tibble/tests/testthat/test-vignette-invariants.R | 1 tibble-3.2.0/tibble/tests/testthat/test-vignette-tibble.R | 1 tibble-3.2.0/tibble/vignettes/digits.Rmd | 1 tibble-3.2.0/tibble/vignettes/extending.Rmd | 70 tibble-3.2.0/tibble/vignettes/formats.Rmd | 66 tibble-3.2.0/tibble/vignettes/invariants.Rmd | 10 tibble-3.2.0/tibble/vignettes/numbers.Rmd | 4 tibble-3.2.0/tibble/vignettes/tibble.Rmd | 7 tibble-3.2.0/tibble/vignettes/types.Rmd | 44 tibble-3.2.0/tibble/vignettes/wip/subassign.Rmd | 4 130 files changed, 3923 insertions(+), 4880 deletions(-)
Title: Automatic Short Form Creation
Description: Performs automatic creation of short forms of scales with an
ant colony optimization algorithm and a Tabu search. As implemented in the
package, the ant colony algorithm randomly selects items to build a model of
a specified length, then updates the probability of item selection according
to the fit of the best model within each set of searches. The algorithm
continues until the same items are selected by multiple ants a given number
of times in a row. On the other hand, the Tabu search changes one parameter at
a time to be either free, constrained, or fixed while keeping track of the
changes made and putting changes that result in worse fit in a "tabu" list
so that the algorithm does not revisit them for some number of searches.
See Leite, Huang, & Marcoulides (2008) <doi:10.1080/00273170802285743> for
an applied example of the ant colony algorithm, and Marcoulides & Falk (2018)
<doi:10.1080/10705511.2017.1409074> for an applied example of the Tabu search.
Author: Anthony Raborn [aut, cre] ,
Walter Leite [aut]
Maintainer: Anthony Raborn <anthony.w.raborn@gmail.com>
Diff between ShortForm versions 0.4.6 dated 2020-03-13 and 0.5.2 dated 2023-03-08
ShortForm-0.4.6/ShortForm/R/Tabu_shortform.R |only ShortForm-0.4.6/ShortForm/R/shortform_plots.R |only ShortForm-0.4.6/ShortForm/man/plot.Rd |only ShortForm-0.5.2/ShortForm/DESCRIPTION | 21 ShortForm-0.5.2/ShortForm/MD5 | 88 ShortForm-0.5.2/ShortForm/NAMESPACE | 19 ShortForm-0.5.2/ShortForm/NEWS | 87 ShortForm-0.5.2/ShortForm/NEWS.md | 177 + ShortForm-0.5.2/ShortForm/R/ACO.R |only ShortForm-0.5.2/ShortForm/R/ACO_MPlus.R | 1014 +++++----- ShortForm-0.5.2/ShortForm/R/ACO_internals.R |only ShortForm-0.5.2/ShortForm/R/ACO_lavaan.R | 731 +++---- ShortForm-0.5.2/ShortForm/R/SA.R |only ShortForm-0.5.2/ShortForm/R/ShortForm.R | 30 ShortForm-0.5.2/ShortForm/R/TS.R |only ShortForm-0.5.2/ShortForm/R/Tabu_addparam.R | 117 - ShortForm-0.5.2/ShortForm/R/Tabu_internal.R | 112 - ShortForm-0.5.2/ShortForm/R/Tabu_refit.R | 90 ShortForm-0.5.2/ShortForm/R/Tabu_searchprep.R | 188 - ShortForm-0.5.2/ShortForm/R/Tabu_sem.R | 113 - ShortForm-0.5.2/ShortForm/R/lavaan_copied_internal_functions.R | 258 +- ShortForm-0.5.2/ShortForm/R/simulated_annealing.R | 507 ++--- ShortForm-0.5.2/ShortForm/R/simulated_annealing_internals.R | 497 +++- ShortForm-0.5.2/ShortForm/R/simulated_annealing_temperatures.R |only ShortForm-0.5.2/ShortForm/R/tabu_sem_shortform.R |only ShortForm-0.5.2/ShortForm/build |only ShortForm-0.5.2/ShortForm/data/exampleAntModel.rda |binary ShortForm-0.5.2/ShortForm/man/ACO-class.Rd |only ShortForm-0.5.2/ShortForm/man/SA-class.Rd |only ShortForm-0.5.2/ShortForm/man/ShortForm.Rd | 22 ShortForm-0.5.2/ShortForm/man/ShortFormStartup.Rd | 32 ShortForm-0.5.2/ShortForm/man/TS-class.Rd |only ShortForm-0.5.2/ShortForm/man/add.param.Rd | 158 - ShortForm-0.5.2/ShortForm/man/antcolony.lavaan.Rd | 530 ++--- ShortForm-0.5.2/ShortForm/man/antcolony.mplus.Rd | 578 ++--- ShortForm-0.5.2/ShortForm/man/dot-onAttach.Rd | 46 ShortForm-0.5.2/ShortForm/man/exampleAntModel.Rd | 28 ShortForm-0.5.2/ShortForm/man/modelCheck-class.Rd |only ShortForm-0.5.2/ShortForm/man/par.matches.Rd | 28 ShortForm-0.5.2/ShortForm/man/plot-ACO-ANY-method.Rd |only ShortForm-0.5.2/ShortForm/man/plot-SA-ANY-method.Rd |only ShortForm-0.5.2/ShortForm/man/plot-TS-ANY-method.Rd |only ShortForm-0.5.2/ShortForm/man/refit.model.Rd | 66 ShortForm-0.5.2/ShortForm/man/search.prep.Rd | 134 - ShortForm-0.5.2/ShortForm/man/shortExampleAntModel.Rd | 28 ShortForm-0.5.2/ShortForm/man/show-ACO-method.Rd |only ShortForm-0.5.2/ShortForm/man/show-SA-method.Rd |only ShortForm-0.5.2/ShortForm/man/show-TS-method.Rd |only ShortForm-0.5.2/ShortForm/man/simulatedAnnealing.Rd | 221 +- ShortForm-0.5.2/ShortForm/man/simulated_test_data.Rd | 46 ShortForm-0.5.2/ShortForm/man/summary-ACO-method.Rd |only ShortForm-0.5.2/ShortForm/man/summary-SA-method.Rd |only ShortForm-0.5.2/ShortForm/man/summary-TS-method.Rd |only ShortForm-0.5.2/ShortForm/man/tabu.sem.Rd | 125 - ShortForm-0.5.2/ShortForm/man/tabuShortForm.Rd | 210 +- ShortForm-0.5.2/ShortForm/tests |only 56 files changed, 3379 insertions(+), 2922 deletions(-)
Title: Privacy-Preserving Distributed Algorithms
Description: A collection of privacy-preserving distributed algorithms for conducting multi-site data analyses. The regression analyses can be linear regression for continuous outcome, logistic regression for binary outcome, Cox proportional hazard regression for time-to event outcome, Poisson regression for count outcome, or multi-categorical regression for nominal or ordinal outcome. The PDA algorithm runs on a lead site and only requires summary statistics from collaborating sites, with one or few iterations. The package can be used together with the online system (<https://pda-ota.pdamethods.org/>) for safe and convenient collaboration. For more information, please visit our software websites: <https://github.com/Penncil/pda>, and <https://pdamethods.org/>.
Author: Chongliang Luo [aut],
Rui Duan [aut],
Mackenzie Edmondson [aut],
Jiayi Tong [aut],
Xiaokang Liu [aut],
Kenneth Locke [aut],
Jiajie Chen [cre],
Yong Chen [aut],
Penn Computing Inference Learning lab [cph]
Maintainer: Jiajie Chen <jiajie.chen@pennmedicine.upenn.edu>
Diff between pda versions 1.2.5 dated 2023-02-22 and 1.2.6 dated 2023-03-08
DESCRIPTION | 10 MD5 | 18 + NAMESPACE | 4 NEWS.md |only R/ODACAT.R | 456 +++++++++++++++++++++----------------- R/ODACATH.R |only R/odacat-misc.R | 543 ++++++++++++++++++++++++---------------------- R/odacath-misc.R |only R/pda.R | 38 ++- man/ODACAT.synthesize.Rd |only man/ODACATH.derive.Rd |only man/ODACATH.estimate.Rd |only man/ODACATH.initialize.Rd |only man/ODACATH.synthesize.Rd |only 14 files changed, 601 insertions(+), 468 deletions(-)
Title: Descriptive Statistics
Description: Weighted frequency and contingency tables of categorical
variables and of the comparison of the mean value of a numerical
variable by the levels of a factor, and methods to produce xtable
objects of the tables and to plot them. There are also functions to
facilitate the character encoding conversion of objects, to quickly
convert fixed width files into csv ones, and to export a data.frame to
a text file with the necessary R and SPSS codes to reread the data.
Author: Jakson Aquino. Includes R source code and/or documentation
written by Dirk Enzmann, Marc Schwartz, Nitin Jain, and Stefan
Kraft
Maintainer: Jakson Aquino <jalvesaq@gmail.com>
Diff between descr versions 1.1.5 dated 2021-02-16 and 1.1.6 dated 2023-03-08
DESCRIPTION | 8 +-- MD5 | 10 +-- NEWS | 118 ++++++++++++++++++++--------------------------- R/forODFTable.R | 2 R/xtable.R | 6 +- man/xtable.CrossTable.Rd | 6 +- 6 files changed, 70 insertions(+), 80 deletions(-)
Title: Interface to Species Occurrence Data Sources
Description: A programmatic interface to many species occurrence data sources,
including Global Biodiversity Information Facility ('GBIF'), 'iNaturalist',
'eBird', Integrated Digitized 'Biocollections' ('iDigBio'), 'VertNet',
Ocean 'Biogeographic' Information System ('OBIS'), and
Atlas of Living Australia ('ALA'). Includes functionality for retrieving
species occurrence data, and combining those data.
Author: Hannah Owens [aut, cre] ,
Vijay Barve [aut] ,
Scott Chamberlain [aut] ,
Karthik Ram [ctb],
Ted Hart [ctb],
rOpenSci [fnd]
Maintainer: Hannah Owens <hannah.owens@gmail.com>
Diff between spocc versions 1.2.0 dated 2021-01-05 and 1.2.1 dated 2023-03-08
spocc-1.2.0/spocc/R/as.bison.R |only spocc-1.2.0/spocc/man/as.bison.Rd |only spocc-1.2.0/spocc/tests/fixtures/as_ala.yml |only spocc-1.2.0/spocc/tests/fixtures/as_ala_prep.yml |only spocc-1.2.0/spocc/tests/fixtures/as_bison.yml |only spocc-1.2.0/spocc/tests/fixtures/as_bison_prep.yml |only spocc-1.2.0/spocc/tests/fixtures/as_gbif.yml |only spocc-1.2.0/spocc/tests/fixtures/as_gbif_prep.yml |only spocc-1.2.0/spocc/tests/fixtures/as_idigbio.yml |only spocc-1.2.0/spocc/tests/fixtures/as_idigbio_prep.yml |only spocc-1.2.0/spocc/tests/fixtures/as_inat.yml |only spocc-1.2.0/spocc/tests/fixtures/as_inat_prep.yml |only spocc-1.2.0/spocc/tests/fixtures/as_obis.yml |only spocc-1.2.0/spocc/tests/fixtures/as_obis_prep.yml |only spocc-1.2.0/spocc/tests/fixtures/as_vertnet.yml |only spocc-1.2.0/spocc/tests/fixtures/as_vertnet_prep.yml |only spocc-1.2.0/spocc/tests/fixtures/has_coords_gbif.yml |only spocc-1.2.0/spocc/tests/fixtures/identifier_based_searches.yml |only spocc-1.2.0/spocc/tests/fixtures/occ2df.yml |only spocc-1.2.0/spocc/tests/fixtures/occ2df_with_eventdate_gone.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_bison.json |only spocc-1.2.0/spocc/tests/fixtures/occ_geometry_many_query_many.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_geometry_many_query_none.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_geometry_many_query_single.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_geometry_param.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_geometry_searches.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_geometry_single_query_many.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_geometry_single_query_single.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_inat_no_more_than_10K.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_limit_param.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_old.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_options_bison.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_options_ebird.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_options_gbif.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_opts_used.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_opts_used_no_results.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_pagination.yml |only spocc-1.2.0/spocc/tests/fixtures/occ_vertnet.yml |only spocc-1.2.0/spocc/tests/fixtures/print_methods.yml |only spocc-1.2.0/spocc/tests/fixtures/taxize_integration_1id.yml |only spocc-1.2.0/spocc/tests/fixtures/taxize_integration_get_gbifid.yml |only spocc-1.2.0/spocc/tests/fixtures/taxize_integration_get_tsn.yml |only spocc-1.2.0/spocc/tests/fixtures/taxize_integration_morethan1id.yml |only spocc-1.2.0/spocc/tests/fixtures/taxize_integration_morethan1id_indexed1.yml |only spocc-1.2.0/spocc/tests/testthat/test-as.bison.R |only spocc-1.2.1/spocc/DESCRIPTION | 53 ++-- spocc-1.2.1/spocc/LICENSE | 2 spocc-1.2.1/spocc/MD5 | 123 +++------- spocc-1.2.1/spocc/NAMESPACE | 11 spocc-1.2.1/spocc/NEWS.md | 13 + spocc-1.2.1/spocc/R/as.ecoengine.R | 3 spocc-1.2.1/spocc/R/inspect.R | 6 spocc-1.2.1/spocc/R/occ.r | 12 spocc-1.2.1/spocc/R/occ2df.R | 15 - spocc-1.2.1/spocc/R/occ_funs.R | 7 spocc-1.2.1/spocc/R/occ_names.R | 52 ---- spocc-1.2.1/spocc/R/occ_names_options.R | 18 - spocc-1.2.1/spocc/R/occ_options.r | 12 spocc-1.2.1/spocc/R/plugin_helpers.R | 10 spocc-1.2.1/spocc/R/plugins.r | 73 ----- spocc-1.2.1/spocc/R/spocc-package.R | 30 +- spocc-1.2.1/spocc/R/spocc_duplicates.R | 4 spocc-1.2.1/spocc/man/as.ala.Rd | 1 spocc-1.2.1/spocc/man/as.ecoengine-defunct.Rd | 1 spocc-1.2.1/spocc/man/as.gbif.Rd | 1 spocc-1.2.1/spocc/man/as.idigbio.Rd | 1 spocc-1.2.1/spocc/man/as.inat.Rd | 1 spocc-1.2.1/spocc/man/as.obis.Rd | 1 spocc-1.2.1/spocc/man/as.vertnet.Rd | 1 spocc-1.2.1/spocc/man/inspect.Rd | 4 spocc-1.2.1/spocc/man/occ.Rd | 92 ++----- spocc-1.2.1/spocc/man/occ2df.Rd | 4 spocc-1.2.1/spocc/man/occ_names.Rd | 18 - spocc-1.2.1/spocc/man/occ_names_options.Rd | 9 spocc-1.2.1/spocc/man/occ_options.Rd | 5 spocc-1.2.1/spocc/man/spocc-package.Rd | 28 +- spocc-1.2.1/spocc/man/spocc_duplicates.Rd | 4 spocc-1.2.1/spocc/tests/testthat/test-as.ala.R | 6 spocc-1.2.1/spocc/tests/testthat/test-has_coords.R | 4 spocc-1.2.1/spocc/tests/testthat/test-idbasedsearch.R | 7 spocc-1.2.1/spocc/tests/testthat/test-occ.R | 4 spocc-1.2.1/spocc/tests/testthat/test-occ2df.R | 2 spocc-1.2.1/spocc/tests/testthat/test-options.R | 12 spocc-1.2.1/spocc/tests/testthat/test-print_methods.R | 3 spocc-1.2.1/spocc/tests/testthat/test-taxize-integration.R | 45 --- 85 files changed, 204 insertions(+), 494 deletions(-)
Title: Analyse Biological Time-Series Data
Description: Compiles functions to trim, bin, visualise, and analyse activity/sleep time-series data collected from the Drosophila Activity Monitor (DAM) system (Trikinetics, USA). The following methods were used to compute periodograms - Chi-square periodogram: Sokolove and Bushell (1978) <doi:10.1016/0022-5193(78)90022-X>, Lomb-Scargle periodogram: Lomb (1976) <doi:10.1007/BF00648343>, Scargle (1982) <doi:10.1086/160554> and Ruf (1999) <doi:10.1076/brhm.30.2.178.1422>, and Autocorrelation: Eijzenbach et al. (1986) <doi:10.1111/j.1440-1681.1986.tb00943.x>. Identification of activity peaks is done after using a Savitzky-Golay filter (Savitzky and Golay (1964) <doi:10.1021/ac60214a047>) to smooth raw activity data. Three methods to estimate anticipation of activity are used based on the following papers - Slope method: Fernandez et al. (2020) <doi:10.1016/j.cub.2020.04.025>, Harrisingh method: Harrisingh et al. (2007) <doi:10.1523/JNEUROSCI.3680-07.2007&g [...truncated...]
Author: Lakshman Abhilash [aut, cre]
Maintainer: Lakshman Abhilash <labhilash@gc.cuny.edu>
Diff between phase versions 1.2.7 dated 2022-11-15 and 1.2.8 dated 2023-03-08
DESCRIPTION | 9 +++++---- MD5 | 10 +++++++--- NAMESPACE | 15 +++++++++++++++ R/indActogram.R | 10 ++++++++++ R/sleepStages.R |only R/transitionProbs.R |only man/sleepStages.Rd |only man/transitionProbs.Rd |only 8 files changed, 37 insertions(+), 7 deletions(-)
Title: Repeated Measurement Models for Discrete Times
Description: Companion R package for the course "Statistical analysis of correlated and repeated measurements for health science researchers"
taught by the section of Biostatistics of the University of Copenhagen.
It implements linear mixed models where the model for the variance-covariance of the residuals is specified via patterns (compound symmetry, toeplitz, unstructured, ...).
Statistical inference for mean, variance, and correlation parameters is performed based on the observed information and a Satterthwaite approximation of the degrees of freedom.
Normalized residuals are provided to assess model misspecification.
Statistical inference can be performed for arbitrary linear or non-linear combination(s) of model coefficients.
Predictions can be computed conditional to covariates only or also to outcome values.
Author: Brice Ozenne [aut, cre] ,
Julie Forman [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>
Diff between LMMstar versions 0.8.10 dated 2023-01-06 and 0.9.0 dated 2023-03-08
LMMstar-0.8.10/LMMstar/man/plot.lmm.Rd |only LMMstar-0.9.0/LMMstar/DESCRIPTION | 29 LMMstar-0.9.0/LMMstar/MD5 | 107 LMMstar-0.9.0/LMMstar/NAMESPACE | 7 LMMstar-0.9.0/LMMstar/R/LMMstar-package.R | 1 LMMstar-0.9.0/LMMstar/R/autoplot.R | 655 LMMstar-0.9.0/LMMstar/R/confint.R | 20 LMMstar-0.9.0/LMMstar/R/findPatterns.R | 11 LMMstar-0.9.0/LMMstar/R/fitted.R | 49 LMMstar-0.9.0/LMMstar/R/iid.R | 20 LMMstar-0.9.0/LMMstar/R/manifest.R | 48 LMMstar-0.9.0/LMMstar/R/model.matrix.R | 15 LMMstar-0.9.0/LMMstar/R/partialCor.R | 14 LMMstar-0.9.0/LMMstar/R/plot.R | 194 LMMstar-0.9.0/LMMstar/R/predict.R | 12 LMMstar-0.9.0/LMMstar/R/print.R | 13 LMMstar-0.9.0/LMMstar/R/profile.R | 123 LMMstar-0.9.0/LMMstar/R/residuals.R | 245 LMMstar-0.9.0/LMMstar/R/scatterplot.R |only LMMstar-0.9.0/LMMstar/R/structure-calc_Omega.R | 9 LMMstar-0.9.0/LMMstar/R/structure-calc_d2Omega.R | 15 LMMstar-0.9.0/LMMstar/R/structure-calc_dOmega.R | 15 LMMstar-0.9.0/LMMstar/R/structure-skeleton.R | 35 LMMstar-0.9.0/LMMstar/R/structure.R | 6 LMMstar-0.9.0/LMMstar/R/summarizeNA.R | 9 LMMstar-0.9.0/LMMstar/R/summary.R | 23 LMMstar-0.9.0/LMMstar/R/utils.R | 13 LMMstar-0.9.0/LMMstar/inst/CITATION | 14 LMMstar-0.9.0/LMMstar/inst/doc-software/figures/diag-correlation.pdf |binary LMMstar-0.9.0/LMMstar/inst/doc-software/figures/diag-qqplot.pdf |binary LMMstar-0.9.0/LMMstar/inst/doc-software/figures/diag-scatterplot.pdf |binary LMMstar-0.9.0/LMMstar/inst/doc-software/figures/diag-scatterplot2.pdf |binary LMMstar-0.9.0/LMMstar/inst/doc-software/figures/fit-autoplot-indiv.pdf |binary LMMstar-0.9.0/LMMstar/inst/doc-software/figures/fit-pres.pdf |binary LMMstar-0.9.0/LMMstar/inst/doc-software/overview.aux | 82 LMMstar-0.9.0/LMMstar/inst/doc-software/overview.fdb_latexmk | 22 LMMstar-0.9.0/LMMstar/inst/doc-software/overview.log | 65 LMMstar-0.9.0/LMMstar/inst/doc-software/overview.org | 96 LMMstar-0.9.0/LMMstar/inst/doc-software/overview.out | 1 LMMstar-0.9.0/LMMstar/inst/doc-software/overview.pdf | 8560 +++++----- LMMstar-0.9.0/LMMstar/inst/doc-software/overview.tex | 134 LMMstar-0.9.0/LMMstar/inst/doc/overview.pdf |binary LMMstar-0.9.0/LMMstar/man/autoplot.Wald_lmm.Rd | 23 LMMstar-0.9.0/LMMstar/man/autoplot.lmm.Rd | 49 LMMstar-0.9.0/LMMstar/man/autoplot.partialCor.Rd | 17 LMMstar-0.9.0/LMMstar/man/autoplot.profile_lmm.Rd |only LMMstar-0.9.0/LMMstar/man/autoplot.residuals_lmm.Rd |only LMMstar-0.9.0/LMMstar/man/autoplot.summarizeNA.Rd | 23 LMMstar-0.9.0/LMMstar/man/iid.lmm.Rd | 4 LMMstar-0.9.0/LMMstar/man/manifest.lmm.Rd | 6 LMMstar-0.9.0/LMMstar/man/profile.lmm.Rd | 37 LMMstar-0.9.0/LMMstar/man/residuals.lmm.Rd | 53 LMMstar-0.9.0/LMMstar/man/scatterplot.Rd |only LMMstar-0.9.0/LMMstar/man/summarizeNA.Rd | 5 LMMstar-0.9.0/LMMstar/tests/testthat/test-auto-previous-bug.R | 30 LMMstar-0.9.0/LMMstar/tests/testthat/test-auto-profile.R | 6 LMMstar-0.9.0/LMMstar/tests/testthat/test-manual-armd.R | 8 57 files changed, 5731 insertions(+), 5192 deletions(-)
Title: Build, Deploy and Evaluate Hybrid Ensembles
Description: Functions to build and deploy a hybrid ensemble consisting of different sub-ensembles such as bagged logistic regressions, random forest, stochastic boosting, kernel factory, bagged neural networks, bagged support vector machines, rotation forest, bagged k-nearest neighbors, and bagged naive Bayes. Functions to cross-validate the hybrid ensemble and plot and summarize the results are also provided. There is also a function to assess the importance of the predictors.
Author: Michel Ballings, Dauwe Vercamer, Matthias Bogaert, and Dirk Van den Poel
Maintainer: Michel Ballings <Michel.Ballings@GMail.com>
Diff between hybridEnsemble versions 1.7.8 dated 2022-05-10 and 1.7.9 dated 2023-03-08
DESCRIPTION | 10 +++--- MD5 | 10 +++--- R/importance.hybridEnsemble.R | 3 +- inst/NEWS | 3 ++ man/Credit.Rd | 58 +++++++++++++++++++-------------------- man/importance.hybridEnsemble.Rd | 5 ++- 6 files changed, 48 insertions(+), 41 deletions(-)
More information about hybridEnsemble at CRAN
Permanent link
Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R
classes, including vectors, lists, data frames, shape files, and
spatial classes. 'geojsonio' does not aim to replace packages like
'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to
simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut],
Andy Teucher [aut],
Michael Mahoney [aut, cre]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>
Diff between geojsonio versions 0.10.0 dated 2022-10-07 and 0.11.0 dated 2023-03-08
geojsonio-0.10.0/geojsonio/man/deprecated.Rd |only geojsonio-0.11.0/geojsonio/DESCRIPTION | 12 geojsonio-0.11.0/geojsonio/MD5 | 30 - geojsonio-0.11.0/geojsonio/NAMESPACE | 25 geojsonio-0.11.0/geojsonio/NEWS.md | 22 geojsonio-0.11.0/geojsonio/R/deprecated.R | 77 --- geojsonio-0.11.0/geojsonio/R/geojsonio-package.r | 2 geojsonio-0.11.0/geojsonio/R/topojson_write.R | 28 - geojsonio-0.11.0/geojsonio/R/zzz.r | 7 geojsonio-0.11.0/geojsonio/man/defunct.Rd |only geojsonio-0.11.0/geojsonio/man/topojson_write.Rd | 2 geojsonio-0.11.0/geojsonio/tests/testthat/test-as.json.R | 2 geojsonio-0.11.0/geojsonio/tests/testthat/test-file_to_geojson.R | 11 geojsonio-0.11.0/geojsonio/tests/testthat/test-geojson_read.R | 1 geojsonio-0.11.0/geojsonio/tests/testthat/test-mapleaflet.R | 1 geojsonio-0.11.0/geojsonio/tests/testthat/test-topojson_read.R | 1 geojsonio-0.11.0/geojsonio/tests/testthat/test-topojson_write.R | 255 ++++------ 17 files changed, 241 insertions(+), 235 deletions(-)
Title: Larger-than-RAM Disk-Based Data Manipulation Framework
Description: A disk-based data manipulation tool for working with
large-than-RAM datasets. Aims to lower the barrier-to-entry for
manipulating large datasets by adhering closely to popular and
familiar data manipulation paradigms like 'dplyr' verbs and
'data.table' syntax.
Author: Dai ZJ [aut, cre],
Jacky Poon [ctb]
Maintainer: Dai ZJ <zhuojia.dai@gmail.com>
Diff between disk.frame versions 0.8.0 dated 2023-02-05 and 0.8.1 dated 2023-03-08
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS.md | 4 ++++ R/dplyr_verbs.r | 6 ++++-- README.md | 32 +++++++++++++++++--------------- man/dplyr_verbs.Rd | 6 +++++- 6 files changed, 39 insertions(+), 27 deletions(-)
Title: Advanced Optimizers for Torch
Description: Optimizers for 'torch' deep learning library. These
functions include recent results published in the literature and are
not part of the optimizers offered in 'torch'. Prospective users
should test these optimizers with their data, since performance
depends on the specific problem being solved. The packages includes
the following optimizers: (a) 'adabelief' by Zhuang et al (2020),
<arXiv:2010.07468>; (b) 'adabound' by Luo et al.(2019),
<arXiv:1902.09843>; (c) 'adahessian' by Yao et al.(2021)
<arXiv:2006.00719>; (d) 'adamw' by Loshchilov & Hutter (2019),
<arXiv:1711.05101>; (e) 'madgrad' by Defazio and Jelassi (2021),
<arXiv:2101.11075>; (f) 'nadam' by Dozat (2019),
<https://openreview.net/pdf/OM0jvwB8jIp57ZJjtNEZ.pdf>; (g) 'qhadam' by
Ma and Yarats(2019), <arXiv:1810.06801>; (h) 'radam' by Liu et al.
(2019), <arXiv:1908.03265>; (i) 'swats' by Shekar and Sochee (2018),
<arXiv:1712.07628>; (j) 'yogi' by Zaheer et al.(2019),
<h [...truncated...]
Author: Gilberto Camara [aut, cre],
Rolf Simoes [aut],
Daniel Falbel [aut],
Felipe Souza [aut]
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>
Diff between torchopt versions 0.1.2 dated 2022-06-30 and 0.1.3 dated 2023-03-08
DESCRIPTION | 12 +++++------- MD5 | 4 ++-- R/adamw.R | 2 +- 3 files changed, 8 insertions(+), 10 deletions(-)
Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: A pipeline toolkit for Statistics and data science in R,
the 'targets' package brings function-oriented programming to
'Make'-like declarative pipelines. 'targets' orchestrates a
pipeline as a graph of dependencies,
skips steps that are already up to date, runs the necessary
computation with optional parallel workers, abstracts files as
R objects, and provides tangible evidence that the results are
reproducible given the underlying code and data.
The methodology in this package
borrows from GNU 'Make' (2015, ISBN:978-9881443519)
and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre]
,
Matthew T. Warkentin [ctb],
Mark Edmondson [ctb] ,
Samantha Oliver [rev] ,
Tristan Mahr [rev] ,
Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Diff between targets versions 0.14.2 dated 2023-01-06 and 0.14.3 dated 2023-03-08
targets-0.14.2/targets/tests/interactive/_targets |only targets-0.14.3/targets/DESCRIPTION | 6 - targets-0.14.3/targets/MD5 | 45 ++++------ targets-0.14.3/targets/NEWS.md | 5 + targets-0.14.3/targets/R/class_aws_file.R | 2 targets-0.14.3/targets/R/class_build.R | 16 ++- targets-0.14.3/targets/R/class_gcp_file.R | 2 targets-0.14.3/targets/R/class_store_file.R | 6 - targets-0.14.3/targets/R/tar_resources_aws.R | 2 targets-0.14.3/targets/R/tar_target_raw.R | 24 ++--- targets-0.14.3/targets/build/partial.rdb |binary targets-0.14.3/targets/build/vignette.rds |binary targets-0.14.3/targets/inst/CITATION | 20 ++-- targets-0.14.3/targets/inst/pipelines/example.R | 6 - targets-0.14.3/targets/man/tar_resources_aws.Rd | 2 targets-0.14.3/targets/man/tar_target_raw.Rd | 24 ++--- targets-0.14.3/targets/tests/testthat/test-class_build.R | 12 ++ targets-0.14.3/targets/tests/testthat/test-class_resources_aws.R | 3 targets-0.14.3/targets/tests/testthat/test-tar_path_script.R | 2 targets-0.14.3/targets/tests/testthat/test-tar_resources.R | 3 targets-0.14.3/targets/tests/testthat/test-tar_resources_aws.R | 9 ++ 21 files changed, 114 insertions(+), 75 deletions(-)
Title: A Versatile Cutting Tool
Description: A tool for cutting data into intervals. Allows singleton intervals.
Always includes the whole range of data by default. Flexible labelling.
Convenience functions for cutting by quantiles etc. Handles dates, times, units
and other vectors.
Author: David Hugh-Jones [aut, cre],
Daniel Possenriede [ctb]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Diff between santoku versions 0.9.0 dated 2022-11-01 and 0.9.1 dated 2023-03-08
DESCRIPTION | 8 - MD5 | 28 ++--- NEWS.md | 4 R/labels-impl.R | 10 +- R/labels.R | 7 - README.md | 38 ++++--- inst/doc/santoku.R | 4 inst/doc/santoku.Rmd | 4 inst/doc/santoku.html | 170 +++++++++++++++++------------------ inst/doc/whats-new-in-0-9-0.html | 111 +++++++++++----------- man/lbl_glue.Rd | 7 - tests/testthat/test-chop.R | 14 ++ tests/testthat/test-tab.R | 7 + tests/testthat/test-zzz-systematic.R | 47 +++++++-- vignettes/santoku.Rmd | 4 15 files changed, 256 insertions(+), 207 deletions(-)
Title: Smooth Survival Models, Including Generalized Survival Models
Description: R implementation of generalized survival models (GSMs), smooth accelerated failure time (AFT) models and Markov multi-state models. For the GSMs, g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth <doi:10.1177/0962280216664760>. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects <doi:10.1002/sim.7451>, and copulas. For the smooth AFTs, S(t|x) = S_0(t*eta(t,x)), where the baseline survival function S_0 [...truncated...]
Author: Mark Clements [aut, cre],
Xing-Rong Liu [aut],
Benjamin Christoffersen [aut],
Paul Lambert [ctb],
Lasse Hjort Jakobsen [ctb],
Alessandro Gasparini [ctb],
Gordon Smyth [cph],
Patrick Alken [cph],
Simon Wood [cph],
Rhys Ulerich [cph]
Maintainer: Mark Clements <mark.clements@ki.se>
Diff between rstpm2 versions 1.6.1 dated 2023-02-28 and 1.6.2 dated 2023-03-08
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- R/pm2-3.R | 2 +- inst/doc/Introduction.pdf |binary inst/doc/SimpleGuide.pdf |binary inst/doc/multistate.pdf |binary inst/doc/predictnl.pdf |binary man/eform.Rd | 3 ++- 8 files changed, 14 insertions(+), 13 deletions(-)
Title: Functions from "Reinsurance: Actuarial and Statistical Aspects"
Description: Functions from the book "Reinsurance: Actuarial and Statistical Aspects" (2017) by Hansjoerg Albrecher, Jan Beirlant and Jef Teugels <https://www.wiley.com/en-us/Reinsurance%3A+Actuarial+and+Statistical+Aspects-p-9780470772683>.
Author: Tom Reynkens [aut, cre] ,
Roel Verbelen [aut] ,
Anastasios Bardoutsos [ctb] ,
Dries Cornilly [ctb] ,
Yuri Goegebeur [ctb] ,
Klaus Herrmann [ctb]
Maintainer: Tom Reynkens <tomreynkens@hotmail.com>
Diff between ReIns versions 1.0.11 dated 2023-01-30 and 1.0.12 dated 2023-03-08
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/Splicing.R | 2 +- inst/NEWS.Rd | 10 ++++++++++ inst/doc/ReIns.html | 4 ++-- 5 files changed, 21 insertions(+), 11 deletions(-)
Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package.
Textual statistics for characterizing and comparing textual data. Includes
functions for measuring term and document frequency, the co-occurrence of
words, similarity and distance between features and documents, feature entropy,
keyword occurrence, readability, and lexical diversity. These functions
extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph]
,
Kohei Watanabe [aut] ,
Haiyan Wang [aut] ,
Jiong Wei Lua [aut],
Jouni Kuha [aut] ,
European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Diff between quanteda.textstats versions 0.96 dated 2022-09-19 and 0.96.1 dated 2023-03-08
DESCRIPTION | 13 ++++++------- MD5 | 16 ++++++++-------- R/nsyllable-methods.R | 3 ++- README.md | 4 ++-- build/partial.rdb |binary inst/WORDLIST | 1 + man/nsyllable.tokens.Rd | 5 +++++ src/Makevars | 2 +- src/Makevars.win | 2 +- 9 files changed, 26 insertions(+), 20 deletions(-)
More information about quanteda.textstats at CRAN
Permanent link
Title: Harrell Miscellaneous
Description: Contains many functions useful for data
analysis, high-level graphics, utility operations, functions for
computing sample size and power, simulation, importing and annotating datasets,
imputing missing values, advanced table making, variable clustering,
character string manipulation, conversion of R objects to LaTeX and html code,
recoding variables, caching, simplified parallel computing, general moving window statistical estimation, and assistance in interpreting principal component analysis.
Author: Frank E Harrell Jr [aut, cre] ,
Charles Dupont [ctb]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>
Diff between Hmisc versions 5.0-0 dated 2023-03-06 and 5.0-1 dated 2023-03-08
DESCRIPTION | 22 ++--- MD5 | 128 ++++++++++++++++--------------- NAMESPACE | 19 ++-- NEWS | 12 ++ R/Misc.s | 30 ++++--- R/bootkm.s | 5 - R/completer.r |only R/curveRep.s | 13 +-- R/dotchart3.s | 24 ++++- R/ecdf.s | 176 ++++++++++++++++++++++--------------------- R/ecdfSteps.r |only R/errbar.s | 3 R/fit.mult.impute.s | 20 +++- R/hlab.r | 1 R/labcurve.s | 9 +- R/movStats.r | 2 R/multLines.s | 3 R/nobsY.s | 6 - R/panel.bpplot.s | 47 ++++++----- R/plsmo.s | 11 +- R/princmp.r | 2 R/rcorr.cens.s | 2 R/rcorrp.cens.s | 9 -- R/rcspline.plot.s | 12 +- R/reformM.r | 14 +-- R/responseSummary.s | 3 R/spower.s | 4 R/stat-plsmo.r | 1 R/summary.formula.s | 11 +- R/summaryM.s | 6 - R/summaryP.s | 22 +++-- R/summaryRc.s | 3 R/summaryS.s | 68 +++++++++------- R/xYplot.s | 86 +++++++++++---------- inst/tests/aregImpute2.r | 7 - inst/tests/aregImpute3.r | 5 - inst/tests/aregImpute5.r | 3 inst/tests/bootkm.r | 1 inst/tests/dotchartpl.r | 5 - inst/tests/histSpikeg.r | 1 inst/tests/inverseFunction.r | 5 - inst/tests/panelbp.r | 4 inst/tests/rcspline.plot.r | 1 inst/tests/summaryD.r | 4 inst/tests/summaryP.r | 2 inst/tests/summaryP2.r | 3 inst/tests/summaryRc.r | 3 inst/tests/summaryS.r | 2 inst/tests/summarySp.r | 1 man/Ecdf.Rd | 2 man/Misc.Rd | 2 man/aregImpute.Rd | 2 man/completer.Rd |only man/curveRep.Rd | 1 man/ecdfSteps.Rd |only man/ggMisc.Rd | 1 man/ggfreqScatter.Rd | 1 man/hlab.Rd | 1 man/popower.Rd | 5 - man/scat1d.Rd | 1 man/stat_plsmo.Rd | 1 man/summary.formula.Rd | 1 man/summaryP.Rd | 5 - man/summaryS.Rd | 7 + man/transcan.Rd | 49 ++++++++++- man/units.Rd | 1 man/xYplot.Rd | 6 - 67 files changed, 535 insertions(+), 372 deletions(-)
Title: Send Email Messages
Description: A light, simple tool for sending emails with minimal dependencies.
Author: Andrew B. Collier [aut, cre, cph],
Matt Dennis [ctb],
Antoine Bichat [ctb] ,
Daniel Fahey [ctb],
Johann R. Kleinbub [ctb],
Panagiotis Moulos [ctb],
Swechhya Bista [ctb],
Colin Fay [ctb]
Maintainer: Andrew B. Collier <andrew@fathomdata.dev>
Diff between emayili versions 0.7.13 dated 2022-11-27 and 0.7.15 dated 2023-03-08
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- NEWS.md | 10 ++++++++++ R/header-mail.R | 12 ++++++++++++ R/header-precedence.R | 16 ++++++++++++---- R/mime.R | 6 ++++-- README.md | 38 ++++++++++++++++++++++++++------------ inst/WORDLIST | 1 + man/precedence.Rd | 14 ++++++++++---- man/subject.Rd | 11 +++++++++++ 10 files changed, 98 insertions(+), 34 deletions(-)
Title: Convex Hull
Description: Computes the convex hull in arbitrary dimension, based on the
Qhull library (<http://www.qhull.org>). The package provides a
complete description of the convex hull: edges, ridges, facets,
adjacencies. Triangulation is optional.
Author: C. B. Barber [cph] ,
The Geometry Center [cph],
Stephane Laurent [cph, aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Diff between cxhull versions 0.7.1 dated 2023-01-27 and 0.7.2 dated 2023-03-08
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS.md | 5 +++++ src/global_r.c | 4 ++-- 4 files changed, 14 insertions(+), 9 deletions(-)
Title: Decorate a 'ggplot' with Associated Information
Description: For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. This package provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Author: Guangchuang Yu [aut, cre] ,
Shuangbin Xu [ctb] ,
Thomas Hackl [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between aplot versions 0.1.9 dated 2022-11-23 and 0.1.10 dated 2023-03-08
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS.md | 4 ++++ R/aplot.R | 2 +- 4 files changed, 12 insertions(+), 8 deletions(-)
Title: United States House and Senate Voting Cartogram Generators
Description: 'ProPublica' <https://projects.propublica.org/represent/> makes United States
Congress member votes available and has developed their own unique cartogram to visually
represent this data. Tools are provided to retrieve voting data, prepare voting data
for plotting with 'ggplot2', create vote cartograms and theme them.
Author: Bob Rudis [aut, cre] ,
ProPublica [cph] ,
GovTrack [cph]
Maintainer: Bob Rudis <bob@rud.is>
Diff between voteogram versions 0.3.1 dated 2018-09-16 and 0.3.2 dated 2023-03-08
voteogram-0.3.1/voteogram/NEWS.md |only voteogram-0.3.2/voteogram/DESCRIPTION | 12 voteogram-0.3.2/voteogram/MD5 | 31 voteogram-0.3.2/voteogram/NAMESPACE | 2 voteogram-0.3.2/voteogram/R/gghouse.r | 127 ++- voteogram-0.3.2/voteogram/R/ggsenate.r | 36 voteogram-0.3.2/voteogram/R/roll-call.r | 5 voteogram-0.3.2/voteogram/R/voteogram-package.R | 3 voteogram-0.3.2/voteogram/build/vignette.rds |binary voteogram-0.3.2/voteogram/inst/doc/intro_to_voteogram.R | 26 voteogram-0.3.2/voteogram/inst/doc/intro_to_voteogram.html | 498 +++++++------ voteogram-0.3.2/voteogram/man/fortify.pprc.Rd | 4 voteogram-0.3.2/voteogram/man/house_carto.Rd | 11 voteogram-0.3.2/voteogram/man/roll_call.Rd | 3 voteogram-0.3.2/voteogram/man/senate_carto.Rd | 2 voteogram-0.3.2/voteogram/man/voteogram-colors.Rd | 6 voteogram-0.3.2/voteogram/man/voteogram.Rd | 1 17 files changed, 447 insertions(+), 320 deletions(-)
Title: 'Rcpp' Bindings for 'Redis' using the 'hiredis' Library
Description: Connection to the 'Redis' key/value store using the
C-language client library 'hiredis' (included as a fallback) with
'MsgPack' encoding provided via 'RcppMsgPack' headers. It now also
includes the pub/sub functions from the 'rredis' package.
Author: Dirk Eddelbuettel and Bryan W. Lewis
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppRedis versions 0.2.2 dated 2022-10-31 and 0.2.3 dated 2023-03-08
ChangeLog | 17 ++ DESCRIPTION | 8 - MD5 | 24 +-- build/vignette.rds |binary configure | 18 +- configure.ac | 4 inst/NEWS.Rd | 9 + inst/doc/market-monitoring.pdf |binary inst/doc/redis-introduction.pdf |binary src/Makevars.in | 2 src/Makevars.ucrt | 2 src/Makevars.win | 2 src/Redis.cpp | 244 ++++++++++++++++++++-------------------- 13 files changed, 175 insertions(+), 155 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-03-03 1.0-6
2020-02-25 1.0-5
2013-01-08 1.0-4
Title: Time Varying GARCH Modelling
Description: Simulation, estimation and inference for univariate and multivariate TV(s)-GARCH(p,q,r)-X models, where s indicates the number and shape of the transition functions, p is the ARCH order, q is the GARCH order, r is the asymmetry order, and 'X' indicates that covariates can be included. In the multivariate case, variances are estimated equation by equation and dynamic conditional correlations are allowed. The TV long-term component of the variance as in the multiplicative TV-GARCH model of Amado and Ter{\"a}svirta (2013) <doi:10.1016/j.jeconom.2013.03.006> introduces non-stationarity whereas the GARCH-X short-term component describes conditional heteroscedasticity. Maximisation by parts leads to consistent and asymptotically normal estimates.
Author: Susana Campos-Martins [aut, cre], Genaro Sucarrat [ctb]
Maintainer: Susana Campos-Martins <susana.martins@nuffield.ox.ac.uk>
Diff between tvgarch versions 2.3 dated 2023-01-28 and 2.4 dated 2023-03-08
DESCRIPTION | 10 +++++----- MD5 | 14 ++++++++------ NAMESPACE | 3 +-- NEWS | 10 +++++++++- R/combos.R |only R/tvgarch-internal.R | 2 +- R/tvgarch.R | 4 ++-- man/combos.Rd |only man/tvgarch-package.Rd | 2 +- 9 files changed, 27 insertions(+), 18 deletions(-)
Title: Biochemically Intuitive Generalized Loewe Model
Description: Response surface methods for drug synergy analysis. Available
methods include generalized and classical Loewe formulations as well as Highest
Single Agent methodology. Response surfaces can be plotted in an interactive
3-D plot and formal statistical tests for presence of synergistic effects are
available. Implemented methods and tests are described in the article
"BIGL: Biochemically Intuitive Generalized Loewe null model for prediction
of the expected combined effect compatible with partial agonism and antagonism"
by Koen Van der Borght, Annelies Tourny, Rytis Bagdziunas, Olivier Thas,
Maxim Nazarov, Heather Turner, Bie Verbist & Hugo Ceulemans (2017)
<doi:10.1038/s41598-017-18068-5>.
Author: Heather Turner, Annelies Tourny, Olivier Thas, Maxim Nazarov, Rytis Bagdziunas, Stijn Hawinkel, Javier Franco Perez
Maintainer: Maxim Nazarov <maxim.nazarov@openanalytics.eu>
Diff between BIGL versions 1.6.7 dated 2023-01-26 and 1.7.0 dated 2023-03-08
BIGL-1.6.7/BIGL/inst/NEWS |only BIGL-1.7.0/BIGL/DESCRIPTION | 12 BIGL-1.7.0/BIGL/MD5 | 45 BIGL-1.7.0/BIGL/NAMESPACE | 12 BIGL-1.7.0/BIGL/NEWS.md |only BIGL-1.7.0/BIGL/R/MarginalFit-methods.R | 6 BIGL-1.7.0/BIGL/R/ResponseSurface-methods.R | 45 BIGL-1.7.0/BIGL/R/confInt-functions.R | 102 BIGL-1.7.0/BIGL/R/effectSize-functions.R |only BIGL-1.7.0/BIGL/R/helper.R | 11 BIGL-1.7.0/BIGL/R/isobologram.R | 5 BIGL-1.7.0/BIGL/R/plotReponseSurface.R | 403 - BIGL-1.7.0/BIGL/inst/doc/analysis.R | 10 BIGL-1.7.0/BIGL/inst/doc/analysis.Rmd | 10 BIGL-1.7.0/BIGL/inst/doc/analysis.html | 7646 +++---------------------- BIGL-1.7.0/BIGL/inst/doc/methodology.html | 4 BIGL-1.7.0/BIGL/inst/ui/server.R | 23 BIGL-1.7.0/BIGL/inst/ui/ui.R | 3 BIGL-1.7.0/BIGL/man/col2hex.Rd |only BIGL-1.7.0/BIGL/man/contour.ResponseSurface.Rd | 4 BIGL-1.7.0/BIGL/man/plot.BIGLconfInt.Rd | 8 BIGL-1.7.0/BIGL/man/plot.ResponseSurface.Rd | 22 BIGL-1.7.0/BIGL/man/plot.effect-size.Rd |only BIGL-1.7.0/BIGL/man/plotResponseSurface.Rd | 74 BIGL-1.7.0/BIGL/tests/testthat/test_wrapper.R | 32 BIGL-1.7.0/BIGL/vignettes/analysis.Rmd | 10 26 files changed, 1436 insertions(+), 7051 deletions(-)
Title: Reference Interval Estimation using Real-World Data
Description: Indirect method for the estimation of reference intervals using Real-World Data ('RWD'). It takes routine measurements
of diagnostic tests, containing pathological and non-pathological samples as input and uses sophisticated
statistical methods to derive a model describing the distribution of the non-pathological samples. This distribution can then be
used to derive reference intervals.
Furthermore, the package offers functions for printing and plotting the results of the algorithm. See ?refineR for a more comprehensive description of the features.
Version 1.0 of the algorithm is described in detail in Ammer T., Schuetzenmeister A., Prokosch H.-U., Rauh M., Rank C.M., Zierk J. "refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data". Scientific Reports (2021) <doi:10.1038/s41598-021-95301-2>.
Author: Tatjana Ammer [aut, cre],
Christopher M Rank [aut],
Andre Schuetzenmeister [aut]
Maintainer: Tatjana Ammer <tatjana.ammer@roche.com>
Diff between refineR versions 1.5.1 dated 2022-07-19 and 1.6.0 dated 2023-03-08
DESCRIPTION | 8 - MD5 | 44 ++++---- NEWS.md | 29 ++++- R/algoInvHist.R | 216 ++++++++++++++++++++++++++++-------------- R/data.R | 10 - R/plot.R | 213 +++++++++++++++++++++++++++-------------- R/utils.R | 108 ++++++++++++--------- data/testcase2.rda |binary inst/doc/refineR_package.R | 1 inst/doc/refineR_package.Rmd | 1 inst/doc/refineR_package.html | 167 ++++++++++++++++---------------- man/findRI.Rd | 5 man/getRI.Rd | 9 - man/getSumForPArea.Rd | 13 ++ man/plot.RWDRI.Rd | 13 +- man/print.RWDRI.Rd | 5 man/refineR-Package.Rd | 4 man/testcase1.Rd | 2 man/testcase2.Rd | 2 man/testcase3.Rd | 2 man/testcase4.Rd | 2 man/testcase5.Rd | 2 vignettes/refineR_package.Rmd | 1 23 files changed, 519 insertions(+), 338 deletions(-)
Title: Permanent Random Number Sampling
Description: Survey sampling using permanent random numbers (PRN's). A solution to the
problem of unknown overlap between survey samples, which leads to a low
precision in estimates when the survey is repeated or combined with other
surveys. The PRN solution is to supply the U(0, 1) random numbers to the
sampling procedure, instead of having the sampling procedure generate them.
In Lindblom (2014) <doi:10.2478/jos-2014-0047>, and therein cited articles,
it is shown how this is carried out and how it improves the estimates. This
package supports two common fixed-size sampling procedures (simple random
sampling and probability-proportional-to-size sampling) and includes a
function for transforming the PRN's in order to control the sample overlap.
Author: Kira Coder Gylling
Maintainer: Kira Coder Gylling <kira.gylling@gmail.com>
Diff between prnsamplr versions 0.2.1 dated 2022-09-29 and 0.3.0 dated 2023-03-08
DESCRIPTION | 8 ++--- MD5 | 20 ++++++------ R/pps.R | 64 ++++++++++++++++++++++++++++++++++++++++ R/samp.R | 14 ++++++++ R/srs.R | 55 ++++++++++++++++++++++++++++++++++ R/transf.R | 33 ++++++++++++++++++++ build |only man/ExampleData.Rd | 50 +++++++++++++++---------------- man/pps.Rd | 74 ++++++++++++++++++++++++----------------------- man/prnsamplr-package.Rd |only man/srs.Rd | 70 ++++++++++++++++++++++---------------------- man/transformprn.Rd | 6 ++- 12 files changed, 284 insertions(+), 110 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 event-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 1.4.1 dated 2022-10-18 and 1.4.2 dated 2023-03-08
DESCRIPTION | 9 ++--- MD5 | 16 ++++----- R/SummaryReport.R | 12 +++--- inst/doc/examples.html | 85 ++++++++++++++++++++++++------------------------- inst/doc/examples.org | 2 - inst/include/gsm.h | 3 + man/SummaryReport.Rd | 8 ++-- src/gsm.cpp | 18 ++++++---- src/init.c | 4 +- 9 files changed, 81 insertions(+), 76 deletions(-)
More information about microsimulation at CRAN
Permanent link
Title: Unify Dimensionality Reduction Results
Description: Dimensionality reduction (DR) is widely used in many domain for analyzing and visualizing high-dimensional data. 'tidydr' provides uniform output and is compatible with multiple methods, including 'prcomp', 'mds', 'Rtsne'. etc.
Author: Guangchuang Yu [aut, cre, cph]
,
Shuangbin Xu [aut] ,
Erqiang Hu [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between tidydr versions 0.0.4 dated 2022-03-16 and 0.0.5 dated 2023-03-08
DESCRIPTION | 13 ++- MD5 | 14 ++-- NAMESPACE | 5 + NEWS.md | 4 + R/method-autoplot.R | 56 +++++++++++++++- R/method-drawDetails.R | 2 build/vignette.rds |binary inst/doc/tidydr.html | 171 ++++++++++++++++++++++++++++--------------------- 8 files changed, 178 insertions(+), 87 deletions(-)
Title: Selection Response Analysis
Description: Artificial selection through selective breeding is an efficient way to induce changes in traits of interest in experimental populations. This package (sra) provides a set of tools to analyse artificial-selection response datasets. The data typically feature for several generations the average value of a trait in a population, the variance of the trait, the population size and the average value of the parents that were chosen to breed. Sra implements two families of models aiming at describing the dynamics of the genetic architecture of the trait during the selection response. The first family relies on purely descriptive (phenomenological) models, based on an autoregressive framework. The second family provides different mechanistic models, accounting e.g. for inbreeding, mutations, genetic and environmental canalization, or epistasis. The parameters underlying the dynamics of the time series are estimated by maximum likelihood. The sra package thus provides (i) a wrapper for the R fun [...truncated...]
Author: Arnaud Le Rouzic
Maintainer: Arnaud Le Rouzic <arnaud.le-rouzic@universite-paris-saclay.fr>
Diff between sra versions 0.1.3 dated 2020-02-28 and 0.1.4 dated 2023-03-08
DESCRIPTION | 11 ++++++----- MD5 | 7 ++++--- README.md |only man/B_sraAutoreg.Rd | 2 +- man/C_sraMechanistic.Rd | 2 +- 5 files changed, 12 insertions(+), 10 deletions(-)
Title: Small Area Estimation using HB for Rao Yu Model under Beta
Distribution
Description: Several functions are provided for small area estimation at the area level using the hierarchical bayesian (HB) method with panel data under beta distribution for variable interest. This package also provides a dataset produced by data generation. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involve the HB estimators, which include the mean and the variation of the mean. For the reference, see Rao and Molina (2015, ISBN: 978-1-118-73578-7).
Author: Dian Rahmawati Salis [aut, cre],
Azka Ubaidillah [aut]
Maintainer: Dian Rahmawati Salis <dianrahmawatisalis03@gmail.com>
Diff between saeHB.panel.beta versions 0.1.0 dated 2023-02-27 and 0.1.1 dated 2023-03-08
DESCRIPTION | 12 ++--- MD5 | 20 ++++----- NEWS.md | 6 +- R/Panel.beta.R | 2 R/RaoYuAr1.beta.R | 2 inst/doc/Panelbeta.R | 4 - inst/doc/Panelbeta.Rmd | 4 - inst/doc/Panelbeta.html | 100 ++++++++++++++++++++++++------------------------ man/Panel.beta.Rd | 2 man/RaoYuAr1.beta.Rd | 2 vignettes/Panelbeta.Rmd | 4 - 11 files changed, 79 insertions(+), 79 deletions(-)
More information about saeHB.panel.beta at CRAN
Permanent link
Title: Multiform Seq2Seq Model for Time-Feature Analysis
Description: Seq2seq time-feature analysis based on variational model, with a wide range of distributions available for the latent variable.
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Diff between proteus versions 1.0.0 dated 2021-06-24 and 1.1.0 dated 2023-03-08
proteus-1.0.0/proteus/R/main.R |only proteus-1.0.0/proteus/R/proteus.R |only proteus-1.0.0/proteus/R/support.R |only proteus-1.1.0/proteus/DESCRIPTION | 23 +-- proteus-1.1.0/proteus/MD5 | 16 +- proteus-1.1.0/proteus/NAMESPACE | 156 +++++++++++---------- proteus-1.1.0/proteus/NEWS.md | 8 + proteus-1.1.0/proteus/R/main1.R |only proteus-1.1.0/proteus/R/main2.R |only proteus-1.1.0/proteus/man/proteus.Rd | 77 +++------- proteus-1.1.0/proteus/man/proteus_random_search.Rd |only proteus-1.1.0/proteus/tests |only 12 files changed, 143 insertions(+), 137 deletions(-)
Title: Flood Extents and Durations along the Rivers Elbe and Rhine
Description: Raster based flood modelling internally using 'hyd1d', an R package
to interpolate 1d water level and gauging data. The package computes flood
extent and durations through strategies originally developed for 'INFORM',
an 'ArcGIS'-based hydro-ecological modelling framework. It does not provide
a full, physical hydraulic modelling algorithm, but a simplified, near real
time 'GIS' approach for flood extent and duration modelling. Computationally
demanding annual flood durations have been computed already and data
products were published by Weber (2022) <doi:10.1594/PANGAEA.948042>.
Author: Arnd Weber [aut, cre] ,
Stephan Rosenzweig [ctb]
Maintainer: Arnd Weber <arnd.weber@bafg.de>
Diff between hydflood versions 0.5.2 dated 2023-01-17 and 0.5.3 dated 2023-03-08
DESCRIPTION | 11 +++++------ MD5 | 27 ++++++++++++++------------- NEWS.md |only R/classifyToPNV.R | 3 +-- R/hydflood.R | 13 ++++++++++--- README.md | 16 ++++++++++++++-- build/partial.rdb |binary inst/CITATION | 39 ++++++++++++++++++--------------------- inst/REFERENCES.bib | 2 +- inst/doc/hydflood.R | 3 +++ inst/doc/hydflood.Rmd | 10 ++++++++-- inst/doc/hydflood.html | 40 +++++++++++++++++++++------------------- man/classifyToPNV.Rd | 3 +-- man/hydflood.Rd | 13 ++++++++++--- vignettes/hydflood.Rmd | 10 ++++++++-- 15 files changed, 114 insertions(+), 76 deletions(-)
Title: Heteroskedastic Gaussian Process Modeling and Design under
Replication
Description: Performs Gaussian process regression with heteroskedastic noise following the model by Binois, M., Gramacy, R., Ludkovski, M. (2016) <arXiv:1611.05902>, with implementation details in Binois, M. & Gramacy, R. B. (2021) <doi:10.18637/jss.v098.i13>. The input dependent noise is modeled as another Gaussian process. Replicated observations are encouraged as they yield computational savings. Sequential design procedures based on the integrated mean square prediction error and lookahead heuristics are provided, and notably fast update functions when adding new observations.
Author: Mickael Binois, Robert B. Gramacy
Maintainer: Mickael Binois <mickael.binois@inria.fr>
Diff between hetGP versions 1.1.4 dated 2021-07-08 and 1.1.5 dated 2023-03-08
DESCRIPTION | 10 +++++----- MD5 | 28 ++++++++++++++-------------- NEWS | 4 ++++ R/IMSE.R | 14 +++++++------- R/hetGP.R | 25 ++++++++++++++----------- R/hetTP.R | 8 ++++---- R/inGP.R | 3 +++ R/optim.R | 10 +++++----- R/update_hetGP.R | 10 +++++----- build/vignette.rds |binary inst/doc/hetGP_vignette.pdf |binary man/mleHetGP.Rd | 9 ++++----- man/mleHetTP.Rd | 6 +++--- man/mleHomGP.Rd | 2 +- src/RcppExports.cpp | 5 +++++ 15 files changed, 74 insertions(+), 60 deletions(-)
Title: Report Crypto Taxes (Canada Only)
Description: Helps calculate crypto taxes in R. First, by allowing
you to format .CSV files from various exchanges to one
large data frame of organized transactions. Second, by allowing you to
calculate your Adjusted Cost Base (ACB), ACB per share, and
realized and unrealized capital gains/losses. Third, by calculating
revenues gained from staking, interest, airdrops, etc. Fourth, by
calculating superficial losses as well. *Disclaimer: This is not financial advice.
Use at your own risks. There are no guarantees whatsoever in relation
to the use of this package. Please consult a tax professional as necessary*.
Author: Steve Wong [aut, cre]
Maintainer: Steve Wong <mr.cryptoltruist@gmail.com>
Diff between cryptoTax versions 0.0.3 dated 2023-03-07 and 0.0.4 dated 2023-03-08
cryptoTax-0.0.3/cryptoTax/R/utils.R |only cryptoTax-0.0.4/cryptoTax/DESCRIPTION | 6 - cryptoTax-0.0.4/cryptoTax/MD5 | 43 ++++---- cryptoTax-0.0.4/cryptoTax/NEWS.md | 4 cryptoTax-0.0.4/cryptoTax/R/USD2CAD.R | 6 - cryptoTax-0.0.4/cryptoTax/R/format_CDC_exchange_rewards.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_CDC_exchange_trades.R | 10 + cryptoTax-0.0.4/cryptoTax/R/format_CDC_wallet.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_adalite.R | 7 + cryptoTax-0.0.4/cryptoTax/R/format_binance.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_binance_withdrawals.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_blockfi.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_coinsmart.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_exodus.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_gemini.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_generic.R | 4 cryptoTax-0.0.4/cryptoTax/R/format_presearch.R | 5 cryptoTax-0.0.4/cryptoTax/R/format_uphold.R | 7 + cryptoTax-0.0.4/cryptoTax/R/match_prices.R | 11 +- cryptoTax-0.0.4/cryptoTax/R/prepare_list_prices.R | 25 ++++ cryptoTax-0.0.4/cryptoTax/R/report_overview.R | 2 cryptoTax-0.0.4/cryptoTax/R/report_summary.R | 2 cryptoTax-0.0.4/cryptoTax/inst/doc/report.html | 72 +++++++------- 23 files changed, 173 insertions(+), 71 deletions(-)
Title: Messages, Warnings, Strings with Ascii Animals
Description: Allows printing of character strings as messages/warnings/etc.
with ASCII animals, including cats, cows, frogs, chickens, ghosts,
and more.
Author: Scott Chamberlain [aut, cre],
Amanda Dobbyn [aut],
Tyler Rinker [ctb],
Thomas Leeper [ctb],
Noam Ross [ctb],
Rich FitzJohn [ctb],
Carson Sievert [ctb],
Kiyoko Gotanda [ctb],
Andy Teucher [ctb],
Karl Broman [ctb],
Franz-Sebastian Krah [ctb],
Lucy D'Ag [...truncated...]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Diff between cowsay versions 0.8.0 dated 2020-02-06 and 0.8.2 dated 2023-03-08
cowsay-0.8.0/cowsay/inst/doc/cowsay_tutorial.R |only cowsay-0.8.0/cowsay/inst/doc/cowsay_tutorial.Rmd |only cowsay-0.8.0/cowsay/inst/doc/cowsay_tutorial.html |only cowsay-0.8.0/cowsay/vignettes/cowsay_tutorial.Rmd |only cowsay-0.8.2/cowsay/DESCRIPTION | 9 -- cowsay-0.8.2/cowsay/MD5 | 26 +++--- cowsay-0.8.2/cowsay/NEWS.md | 6 + cowsay-0.8.2/cowsay/R/animals.r | 75 +++++++++++++++++ cowsay-0.8.2/cowsay/R/say.r | 19 +++- cowsay-0.8.2/cowsay/README.md | 94 ++++++++++------------ cowsay-0.8.2/cowsay/build/vignette.rds |binary cowsay-0.8.2/cowsay/inst/doc/cowsay.R |only cowsay-0.8.2/cowsay/inst/doc/cowsay.Rmd |only cowsay-0.8.2/cowsay/inst/doc/cowsay.html |only cowsay-0.8.2/cowsay/man/animals.Rd | 4 cowsay-0.8.2/cowsay/man/say.Rd | 21 +++- cowsay-0.8.2/cowsay/tests/testthat/test-say.R | 17 +-- cowsay-0.8.2/cowsay/vignettes/cowsay.Rmd |only 18 files changed, 178 insertions(+), 93 deletions(-)
Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language
development platform for in-memory data. It specifies a standardized
language-independent columnar memory format for flat and hierarchical data,
organized for efficient analytic operations on modern hardware. This
package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut],
Ian Cook [aut],
Nic Crane [aut, cre],
Dewey Dunnington [aut] ,
Romain Francois [aut] ,
Jonathan Keane [aut],
Dragoș Moldovan-Gruenfeld [aut],
Jeroen Ooms [aut],
Javier Luraschi [ctb],
Karl Dunkle Werner [ctb] ,
Jeffrey Wong [ctb [...truncated...]
Maintainer: Nic Crane <thisisnic@gmail.com>
Diff between arrow versions 11.0.0.2 dated 2023-02-12 and 11.0.0.3 dated 2023-03-08
DESCRIPTION | 8 - MD5 | 40 +++---- NAMESPACE | 2 NEWS.md | 98 ++++++++++++++++++- R/arrow-package.R | 2 R/dataset-format.R | 6 - R/dplyr-count.R | 32 +++++- R/dplyr-funcs-doc.R | 12 +- R/install-arrow.R | 2 inst/demo_flight_server.py | 2 man/acero.Rd | 12 +- man/arrow-package.Rd | 2 man/create_package_with_all_dependencies.Rd | 2 tests/testthat/test-dataset-csv.R | 12 ++ tests/testthat/test-dplyr-count.R | 24 ++++ tests/testthat/test-io.R | 2 tools/cpp/README.md | 2 tools/cpp/build-support/get-upstream-commit.sh | 2 tools/cpp/src/arrow/engine/substrait/extension_set.h | 2 tools/cpp/thirdparty/README.md | 2 tools/nixlibs.R | 4 21 files changed, 224 insertions(+), 46 deletions(-)
Title: Vertical and Horizontal Inheritance Consistence Analysis
Description: The "Vertical and Horizontal Inheritance Consistence Analysis" method is described in the following publication: "VHICA: a new method to discriminate between vertical and horizontal transposon transfer: application to the mariner family within Drosophila" by G. Wallau. et al. (2016) <DOI:10.1093/molbev/msv341>. The purpose of the method is to detect horizontal transfers of transposable elements, by contrasting the divergence of transposable element sequences with that of regular genes.
Author: Arnaud Le Rouzic
Maintainer: Arnaud Le Rouzic <arnaud.le-rouzic@universite-paris-saclay.fr>
Diff between vhica versions 0.2.7 dated 2020-03-02 and 0.2.8 dated 2023-03-08
DESCRIPTION | 10 +++++----- MD5 | 13 +++++++------ R/div.R | 2 ++ R/image.vhica.R | 6 ++++-- R/vhica-internal.R | 37 +++++++++++++++++++++---------------- README.md |only man/image.vhica.Rd | 15 +++++++++++++-- man/vhica-package.Rd | 6 ++++-- 8 files changed, 56 insertions(+), 33 deletions(-)
Title: Delaunay and Voronoï Tessellations
Description: Delaunay and Voronoï tessellations, with emphasis on the
two-dimensional and the three-dimensional cases (the package provides
functions to plot the tessellations for these cases). Delaunay
tessellations are computed in C with the help of the 'Qhull' library
<http://www.qhull.org/>.
Author: Stephane Laurent [aut, cre],
C. B. Barber [cph] ,
The Geometry Center [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Diff between tessellation versions 2.1.1 dated 2023-01-27 and 2.1.2 dated 2023-03-08
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 5 +++++ src/global_r.c | 4 ++-- 4 files changed, 13 insertions(+), 8 deletions(-)
Title: Infrastructure for Ordering Objects Using Seriation
Description: Infrastructure for ordering objects with an implementation of several
seriation/sequencing/ordination techniques to reorder matrices, dissimilarity
matrices, and dendrograms. Also provides (optimally) reordered heatmaps,
color images and clustering visualizations like dissimilarity plots, and
visual assessment of cluster tendency plots (VAT and iVAT). Hahsler et al (2008) <doi:10.18637/jss.v025.i03>.
Author: Michael Hahsler [aut, cre, cph]
,
Christian Buchta [aut, cph],
Kurt Hornik [aut, cph] ,
David Barnett [ctb],
Michael Brusco [ctb, cph],
Michael Friendly [ctb],
Hans-Friedrich Koehn [ctb, cph],
Fionn Murtagh [ctb, cph],
Stephanie Stahl [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Diff between seriation versions 1.4.1 dated 2023-01-07 and 1.4.2 dated 2023-03-08
DESCRIPTION | 17 ++++--- MD5 | 26 ++++++------ NAMESPACE | 6 ++ NEWS.md | 6 ++ R/criterion.dist.R | 2 R/get_order.R | 1 R/ggpimage.R | 1 R/permute.R | 3 - R/pimage.R | 11 ++--- R/seriate.R | 3 - README.md | 106 ++++++++++++++++++++++++------------------------- inst/CITATION | 8 ++- inst/doc/seriation.pdf |binary man/pimage.Rd | 5 +- 14 files changed, 108 insertions(+), 87 deletions(-)
Title: Wrangle, Analyze, and Visualize Animal Movement Data
Description: Tools to import, clean, and visualize movement data,
particularly from motion capture systems such as Optitrack's
'Motive', the Straw Lab's 'Flydra', or from other sources. We provide
functions to remove artifacts, standardize tunnel position and tunnel
axes, select a region of interest, isolate specific trajectories, fill
gaps in trajectory data, and calculate 3D and per-axis velocity. For
experiments of visual guidance, we also provide functions that use
subject position to estimate perception of visual stimuli.
Author: Vikram B. Baliga [aut, cre] ,
Melissa S. Armstrong [aut] ,
Eric R. Press [aut] ,
Anne-Sophie Bonnet-Lebrun [rev],
Marco Sciaini [rev]
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>
Diff between pathviewr versions 1.1.5 dated 2022-11-08 and 1.1.7 dated 2023-03-08
DESCRIPTION | 12 - MD5 | 18 +- NAMESPACE | 1 NEWS.md | 8 + R/utility_functions.R | 15 +- README.md | 6 build/vignette.rds |binary inst/doc/data-import-cleaning.html | 201 +++++++++++++++--------------- inst/doc/managing-frame-gaps.html | 128 ++++++++++--------- inst/doc/visual-perception-functions.html | 128 ++++++++++--------- 10 files changed, 274 insertions(+), 243 deletions(-)
Title: Implementation of the Natural and Orthogonal InterAction (NOIA)
Model
Description: The NOIA model, as described extensively in Alvarez-Castro & Carlborg (2007), is a framework facilitating the estimation of genetic effects and genotype-to-phenotype maps. This package provides the basic tools to perform linear and multilinear regressions from real populations (provided the phenotype and the genotype of every individuals), estimating the genetic effects from different reference points, the genotypic values, and the decomposition of genetic variances in a multi-locus, 2 alleles system. This package is presented in Le Rouzic & Alvarez-Castro (2008).
Author: Arnaud Le Rouzic , Arne B. Gjuvsland , Olivier Ariste
Maintainer: Arnaud Le Rouzic <arnaud.le-rouzic@universite-paris-saclay.fr>
Diff between noia versions 0.97.1 dated 2015-01-08 and 0.97.3 dated 2023-03-08
DESCRIPTION | 16 ++++++----- MD5 | 58 +++++++++++++++++++++++------------------- NAMESPACE | 6 ++-- R/GPmap.R | 4 +- R/effectsPvalues.R | 2 - R/effectsStdErr.R | 2 - R/effectsVariances.R | 6 ++-- R/geneticEffects.R | 4 +- R/image.noia.marloc.R |only R/lGPaextract.R |only R/linearGPmapanalysis.R | 1 R/marginallocus.R |only R/plot.noia.marloc.R |only R/reconstructLinearEffects.R | 2 - R/simulatePop.R | 1 R/startingValuesLinear.R | 2 - R/startingValuesMultilinear.R | 2 - R/startingValuesReg.R | 4 +- R/varianceDecomposition.R | 10 +++---- README.md |only data/effectsNames.rda |binary data/genotypesNames.rda |binary man/A_noia-package.Rd | 2 - man/B_geneticRegression.Rd | 2 - man/C_GPmapanalysis.Rd | 2 - man/GPmap.Rd | 2 - man/geneticEffects.Rd | 2 - man/genotypesNames.Rd | 2 - man/marginallocus.Rd |only man/plotNoia.Rd | 2 - man/printNoia.Rd | 2 - man/simulatePop.Rd | 4 +- man/varianceDecomposition.Rd | 2 - 33 files changed, 77 insertions(+), 65 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 [aut, cre],
Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>
Diff between NNS versions 0.9.5 dated 2023-01-07 and 0.9.6 dated 2023-03-08
DESCRIPTION | 10 MD5 | 62 +-- NAMESPACE | 2 R/ARMA.R | 29 - R/ARMA_optim.R | 24 - R/Boost.R | 337 ++++++++++--------- R/Multivariate_Regression.R | 3 R/NNS_Distance.R | 1 R/NNS_MC.R |only R/NNS_VAR.R | 2 R/Regression.R | 4 R/Stack.R | 26 + R/gvload.R | 4 README.md | 5 inst/doc/NNSvignette_Classification.Rmd | 2 inst/doc/NNSvignette_Classification.html | 12 inst/doc/NNSvignette_Correlation_and_Dependence.R | 4 inst/doc/NNSvignette_Correlation_and_Dependence.Rmd | 6 inst/doc/NNSvignette_Correlation_and_Dependence.html | 14 inst/doc/NNSvignette_Forecasting.R | 10 inst/doc/NNSvignette_Forecasting.Rmd | 16 inst/doc/NNSvignette_Forecasting.html | 19 - man/NNS.ARMA.Rd | 13 man/NNS.ARMA.optim.Rd | 9 man/NNS.MC.Rd |only man/NNS.VAR.Rd | 2 man/NNS.boost.Rd | 2 man/NNS.reg.Rd | 2 src/Makevars | 1 src/Makevars.win | 1 vignettes/NNSvignette_Classification.Rmd | 2 vignettes/NNSvignette_Correlation_and_Dependence.Rmd | 6 vignettes/NNSvignette_Forecasting.Rmd | 16 33 files changed, 331 insertions(+), 315 deletions(-)
Title: Numerical Weather Predictions
Description: Access to several Numerical Weather Prediction services both in raster format and as a time series for a location. Currently it works with GFS <https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast>, MeteoGalicia <https://www.meteogalicia.gal/web/modelos/threddsIndex.action>, NAM <https://www.ncei.noaa.gov/products/weather-climate-models/north-american-mesoscale>, and RAP <https://www.ncei.noaa.gov/products/weather-climate-models/rapid-refresh-update>.
Author: Oscar Perpinan Lamigueiro [cre, aut],
Marcelo Pinho Almeida [ctb]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@upm.es>
Diff between meteoForecast versions 0.54 dated 2021-03-02 and 0.56 dated 2023-03-08
DESCRIPTION | 11 +++++------ MD5 | 32 ++++++++++++++++---------------- R/composeURL.R | 8 ++++---- R/getPoint.R | 10 +++++++--- R/misc.R | 8 +++++--- R/pointGFS.R | 2 +- R/pointMeteoGalicia.R | 2 +- R/pointNCDC.R | 2 +- R/rasterGFS.R | 10 ++++++---- R/rasterMeteoGalicia.R | 10 ++++++---- R/zzz.R | 3 --- README.md | 6 +++--- inst/CITATION | 6 +++--- man/getPoint.Rd | 4 ++-- man/getRaster.Rd | 4 ++-- man/meteo-package.Rd | 2 +- man/vars.Rd | 4 ++-- 17 files changed, 65 insertions(+), 59 deletions(-)
Title: Heterogeneous Spatial Models
Description: Spatial heterogeneity can be specified in various ways. 'hspm' is an ambitious project that aims at implementing various methodologies to control for heterogeneity in spatial models. The current version of 'hspm' deals with spatial and (non-spatial) regimes models. In particular, the package allows to estimate a general spatial regimes model with additional endogenous variables, specified in terms of a spatial lag of the dependent variable, the spatially lagged regressors, and, potentially, a spatially autocorrelated error term. Spatial regime models are estimated by instrumental variables and generalized methods of moments (see Arraiz et al., (2010) <doi:10.1111/j.1467-9787.2009.00618.x>, Bivand and Piras, (2015) <doi:10.18637/jss.v063.i18>, Drukker et al., (2013) <doi:10.1080/07474938.2013.741020>, Kelejian and Prucha, (2010) <doi:10.1016/j.jeconom.2009.10.025>).
Author: Gianfranco Piras [aut, cre] ,
Mauricio Sarrias [aut]
Maintainer: Gianfranco Piras <gpiras@mac.com>
Diff between hspm versions 1.0-0 dated 2022-11-18 and 1.1 dated 2023-03-08
hspm-1.0-0/hspm/man/error_regimes.Rd |only hspm-1.0-0/hspm/man/lag_regimes.Rd |only hspm-1.0-0/hspm/man/ols_regimes.Rd |only hspm-1.0-0/hspm/man/sarar_regimes.Rd |only hspm-1.1/hspm/DESCRIPTION | 10 - hspm-1.1/hspm/MD5 | 49 +++---- hspm-1.1/hspm/NAMESPACE | 37 +---- hspm-1.1/hspm/R/baltim.R | 2 hspm-1.1/hspm/R/error_regimes.R | 218 +++------------------------------- hspm-1.1/hspm/R/ivregimes_2.R | 192 ++++++++++++++---------------- hspm-1.1/hspm/R/lag_regimes.R | 207 +-------------------------------- hspm-1.1/hspm/R/natreg.R | 8 - hspm-1.1/hspm/R/ols_regimes.R | 154 ------------------------ hspm-1.1/hspm/R/regimes.R | 152 ++++++++---------------- hspm-1.1/hspm/R/sarar_regimes.R | 209 ++++----------------------------- hspm-1.1/hspm/R/spregimes.R | 198 ++++++++++++++++++++++++++++--- hspm-1.1/hspm/R/spregimes_methods.R |only hspm-1.1/hspm/R/ws_6.R | 4 hspm-1.1/hspm/build/partial.rdb |binary hspm-1.1/hspm/data/baltim.RData |binary hspm-1.1/hspm/data/natreg.RData |binary hspm-1.1/hspm/data/ws_6.RData |binary hspm-1.1/hspm/man/baltim.Rd | 2 hspm-1.1/hspm/man/ivregimes.Rd | 101 +++++++++++----- hspm-1.1/hspm/man/natreg.Rd | 7 - hspm-1.1/hspm/man/regimes.Rd | 74 ++++++----- hspm-1.1/hspm/man/spregimes.Rd | 219 ++++++++++++++++++++++++++++++++--- hspm-1.1/hspm/man/ws_6.Rd | 4 28 files changed, 733 insertions(+), 1114 deletions(-)
Title: Scientific Journal and Sci-Fi Themed Color Palettes for
'ggplot2'
Description: A collection of 'ggplot2' color palettes inspired by
plots in scientific journals, data visualization libraries,
science fiction movies, and TV shows.
Author: Nan Xiao [aut, cre] ,
Joshua Cook [ctb],
Clara Jegousse [ctb],
Miaozhu Li [ctb]
Maintainer: Nan Xiao <me@nanx.me>
Diff between ggsci versions 2.9 dated 2018-05-14 and 3.0.0 dated 2023-03-08
ggsci-2.9/ggsci/LICENSE |only ggsci-2.9/ggsci/TODO |only ggsci-2.9/ggsci/vignettes/ggsci.css |only ggsci-3.0.0/ggsci/DESCRIPTION | 28 ggsci-3.0.0/ggsci/MD5 | 145 - ggsci-3.0.0/ggsci/NAMESPACE | 12 ggsci-3.0.0/ggsci/NEWS.md | 74 ggsci-3.0.0/ggsci/R/continuous-gsea.R | 70 ggsci-3.0.0/ggsci/R/continuous-material.R | 119 - ggsci-3.0.0/ggsci/R/discrete-aaas.R | 47 ggsci-3.0.0/ggsci/R/discrete-cosmic.R |only ggsci-3.0.0/ggsci/R/discrete-d3.R | 53 ggsci-3.0.0/ggsci/R/discrete-flatui.R |only ggsci-3.0.0/ggsci/R/discrete-frontiers.R |only ggsci-3.0.0/ggsci/R/discrete-futurama.R | 47 ggsci-3.0.0/ggsci/R/discrete-igv.R | 56 ggsci-3.0.0/ggsci/R/discrete-jama.R | 51 ggsci-3.0.0/ggsci/R/discrete-jco.R | 51 ggsci-3.0.0/ggsci/R/discrete-lancet.R | 51 ggsci-3.0.0/ggsci/R/discrete-locuszoom.R | 51 ggsci-3.0.0/ggsci/R/discrete-nejm.R | 51 ggsci-3.0.0/ggsci/R/discrete-npg.R | 51 ggsci-3.0.0/ggsci/R/discrete-rickandmorty.R | 51 ggsci-3.0.0/ggsci/R/discrete-simpsons.R | 51 ggsci-3.0.0/ggsci/R/discrete-startrek.R | 51 ggsci-3.0.0/ggsci/R/discrete-tron.R | 57 ggsci-3.0.0/ggsci/R/discrete-uchicago.R | 50 ggsci-3.0.0/ggsci/R/discrete-ucscgb.R | 51 ggsci-3.0.0/ggsci/R/ggsci-package.R | 17 ggsci-3.0.0/ggsci/R/sysdata.rda |binary ggsci-3.0.0/ggsci/README.md | 87 ggsci-3.0.0/ggsci/build/vignette.rds |binary ggsci-3.0.0/ggsci/inst/doc/ggsci-faq.Rmd |only ggsci-3.0.0/ggsci/inst/doc/ggsci-faq.html |only ggsci-3.0.0/ggsci/inst/doc/ggsci.R | 237 +- ggsci-3.0.0/ggsci/inst/doc/ggsci.Rmd | 362 ++- ggsci-3.0.0/ggsci/inst/doc/ggsci.html | 2553 ++++++++++++++++++++++------ ggsci-3.0.0/ggsci/inst/logo |only ggsci-3.0.0/ggsci/man/figures |only ggsci-3.0.0/ggsci/man/ggsci-package.Rd | 31 ggsci-3.0.0/ggsci/man/pal_cosmic.Rd |only ggsci-3.0.0/ggsci/man/pal_d3.Rd | 6 ggsci-3.0.0/ggsci/man/pal_flatui.Rd |only ggsci-3.0.0/ggsci/man/pal_frontiers.Rd |only ggsci-3.0.0/ggsci/man/pal_material.Rd | 16 ggsci-3.0.0/ggsci/man/rgb_gsea.Rd | 4 ggsci-3.0.0/ggsci/man/rgb_material.Rd | 18 ggsci-3.0.0/ggsci/man/scale_aaas.Rd | 12 ggsci-3.0.0/ggsci/man/scale_cosmic.Rd |only ggsci-3.0.0/ggsci/man/scale_d3.Rd | 37 ggsci-3.0.0/ggsci/man/scale_flatui.Rd |only ggsci-3.0.0/ggsci/man/scale_frontiers.Rd |only ggsci-3.0.0/ggsci/man/scale_futurama.Rd | 12 ggsci-3.0.0/ggsci/man/scale_gsea.Rd | 10 ggsci-3.0.0/ggsci/man/scale_igv.Rd | 18 ggsci-3.0.0/ggsci/man/scale_jama.Rd | 12 ggsci-3.0.0/ggsci/man/scale_jco.Rd | 12 ggsci-3.0.0/ggsci/man/scale_lancet.Rd | 12 ggsci-3.0.0/ggsci/man/scale_locuszoom.Rd | 12 ggsci-3.0.0/ggsci/man/scale_material.Rd | 54 ggsci-3.0.0/ggsci/man/scale_nejm.Rd | 12 ggsci-3.0.0/ggsci/man/scale_npg.Rd | 12 ggsci-3.0.0/ggsci/man/scale_rickandmorty.Rd | 12 ggsci-3.0.0/ggsci/man/scale_simpsons.Rd | 12 ggsci-3.0.0/ggsci/man/scale_startrek.Rd | 12 ggsci-3.0.0/ggsci/man/scale_tron.Rd | 18 ggsci-3.0.0/ggsci/man/scale_uchicago.Rd | 18 ggsci-3.0.0/ggsci/man/scale_ucscgb.Rd | 12 ggsci-3.0.0/ggsci/vignettes/custom.css |only ggsci-3.0.0/ggsci/vignettes/ggsci-faq.Rmd |only ggsci-3.0.0/ggsci/vignettes/ggsci.Rmd | 362 ++- 71 files changed, 3570 insertions(+), 1690 deletions(-)
Title: Bias-Corrected GEE for Cluster Randomized Trials
Description: Population-averaged models have been increasingly used in the design and analysis of
cluster randomized trials (CRTs). To facilitate the applications of population-averaged
models in CRTs, the package implements the generalized estimating equations (GEE) and
matrix-adjusted estimating equations (MAEE) approaches to jointly estimate the marginal
mean models correlation models both for general CRTs and stepped wedge CRTs. Despite the
general GEE/MAEE approach, the package also implements a fast cluster-period GEE method by
Li et al. (2021) <doi:10.1093/biostatistics/kxaa056>
specifically for stepped wedge CRTs with large and variable cluster-period sizes and gives
a simple and efficient estimating equations approach based on the cluster-period means to
estimate the intervention effects as well as correlation parameters. In addition, the package
also provides functions for generating correlated binary data with specific mean vector and
correlation matrix based on the multivariate pr [...truncated...]
Author: Hengshi Yu [aut, cre],
Fan Li [aut],
Paul Rathouz [aut],
Elizabeth L. Turner [aut],
John Preisser [aut]
Maintainer: Hengshi Yu <hengshi@umich.edu>
Diff between geeCRT versions 0.1.1 dated 2021-10-10 and 1.1.0 dated 2023-03-08
DESCRIPTION | 10 MD5 | 20 R/binMAEE.R | 28 R/contMAEE.R | 24 R/cpgee_exc.R | 2 build/vignette.rds |binary inst/doc/geeCRT.R | 319 ++++++++ inst/doc/geeCRT.Rmd | 368 +++++++++ inst/doc/geeCRT.html | 1731 ++++++++++++++++++++++++++++++++--------------- vignettes/geeCRT.Rmd | 368 +++++++++ vignettes/references.bib | 111 +-- 11 files changed, 2351 insertions(+), 630 deletions(-)
Title: Innovative Complex Split Procedures in Random Forests Through
Candidate Split Sampling
Description: Implements interaction forests [1], which are specific diversity forests and
the basic form of diversity forests that uses univariable, binary splitting [2].
Interaction forests (IFs) are ensembles of decision trees that model quantitative and
qualitative interaction effects using bivariable splitting. IFs come with the
Effect Importance Measure (EIM), which can be used to identify variable pairs that
feature quantitative and qualitative interaction effects with high predictive
relevance. IFs and EIM focus on well interpretable forms of interactions.
The package also offers plot functions for visualising the estimated forms of
interaction effects.
Categorical, metric, and survival outcomes are supported.
This is a fork of the R package 'ranger' (main author: Marvin N. Wright) that
implements random forests using an efficient C++ implementation.
References:
[1] Hornung, R. & Boulesteix, A.-L. (2022) Interaction Forests: Identifying and
exploiting interpretable quantitative and qual [...truncated...]
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>
Diff between diversityForest versions 0.3.4 dated 2022-06-09 and 0.4.0 dated 2023-03-08
DESCRIPTION | 12 MD5 | 63 +-- NEWS |only R/importance.R | 244 +++++++------- R/interactionfor.R | 15 R/plot.interactionfor.R | 4 R/plotEffects.R | 15 R/plotPair.R | 22 - R/predictions.R | 176 +++++----- R/timepoints.R | 106 +++--- R/treeInfo.R | 214 ++++++------ build/partial.rdb |binary inst/NEWS.Rd | 14 man/diversityForest-package.Rd | 88 ++--- man/interactionfor.Rd | 685 ++++++++++++++++++++--------------------- man/plot.interactionfor.Rd | 200 ++++++----- man/plotEffects.Rd | 531 ++++++++++++++++--------------- man/plotPair.Rd | 257 ++++++++------- man/predict.interactionfor.Rd | 162 ++++----- man/stock.Rd | 72 ++-- man/zoo.Rd | 124 +++---- src/AAA_check_cpp11.cpp | 4 src/Forest.cpp | 137 -------- src/Forest.h | 8 src/ForestClassification.cpp | 6 src/ForestProbability.cpp | 6 src/ForestRegression.cpp | 6 src/ForestSurvival.cpp | 6 src/Makevars | 2 src/Makevars.win | 2 src/divforCpp.cpp | 14 src/globals.h | 9 src/utility.h | 31 - 33 files changed, 1551 insertions(+), 1684 deletions(-)
More information about diversityForest at CRAN
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Title: Centered Isotonic Regression and Dose-Response Utilities
Description: Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data.
Author: Assaf P. Oron [cre, aut]
Maintainer: Assaf P. Oron <assaf.oron@gmail.com>
Diff between cir versions 2.2.1 dated 2022-07-02 and 2.3.0 dated 2023-03-08
cir-2.2.1/cir/inst/doc/BenHamou04.R |only cir-2.2.1/cir/inst/doc/BenHamou04.html |only cir-2.2.1/cir/inst/doc/BenHamou04.rmd |only cir-2.2.1/cir/vignettes/BenHamou04.rmd |only cir-2.3.0/cir/DESCRIPTION | 10 +- cir-2.3.0/cir/MD5 | 50 ++++++------ cir-2.3.0/cir/R/analIntervals.r | 115 ++++++++++++++++++++-------- cir-2.3.0/cir/R/cir.R | 8 + cir-2.3.0/cir/R/classes.r | 56 ++++++++----- cir-2.3.0/cir/R/methods.r | 61 +++++++++++--- cir-2.3.0/cir/R/utilities.r | 2 cir-2.3.0/cir/build/vignette.rds |binary cir-2.3.0/cir/inst/doc/BenHamou03.R |only cir-2.3.0/cir/inst/doc/BenHamou03.html |only cir-2.3.0/cir/inst/doc/BenHamou03.rmd |only cir-2.3.0/cir/inst/examples/cirExamples.r | 19 ++-- cir-2.3.0/cir/inst/examples/classExamples.r | 24 +++-- cir-2.3.0/cir/inst/examples/invCiExamples.r | 35 ++++---- cir-2.3.0/cir/inst/examples/invExamples.r | 10 +- cir-2.3.0/cir/man/DRshrink.Rd | 4 cir-2.3.0/cir/man/DRtrace.Rd | 32 ++++--- cir-2.3.0/cir/man/cirPAVA.Rd | 21 ++--- cir-2.3.0/cir/man/deltaInverse.Rd | 51 +++++++----- cir-2.3.0/cir/man/doseFind.Rd | 6 - cir-2.3.0/cir/man/isotInterval.Rd | 2 cir-2.3.0/cir/man/oldPAVA.Rd | 2 cir-2.3.0/cir/man/plot.DRtrace.Rd | 40 ++++++--- cir-2.3.0/cir/man/quickInverse.Rd | 12 +- cir-2.3.0/cir/man/quickIsotone.Rd | 21 ++--- cir-2.3.0/cir/vignettes/BenHamou03.rmd |only 30 files changed, 367 insertions(+), 214 deletions(-)
Title: Model Butcher
Description: Provides a set of S3 generics to axe components of fitted
model objects and help reduce the size of model objects saved to disk.
Author: Joyce Cahoon [aut] ,
Davis Vaughan [aut],
Max Kuhn [aut],
Alex Hayes [aut],
Julia Silge [cre, aut] ,
Posit, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>
Diff between butcher versions 0.3.1 dated 2022-12-14 and 0.3.2 dated 2023-03-08
butcher-0.3.1/butcher/R/classbagg.R |only butcher-0.3.1/butcher/R/utilities.r |only butcher-0.3.1/butcher/man/axe-classbagg.Rd |only butcher-0.3.1/butcher/tests/testthat/test-classbagg.R |only butcher-0.3.2/butcher/DESCRIPTION | 35 ++- butcher-0.3.2/butcher/LICENSE | 2 butcher-0.3.2/butcher/MD5 | 63 ++++--- butcher-0.3.2/butcher/NAMESPACE | 30 +++ butcher-0.3.2/butcher/NEWS.md | 19 ++ butcher-0.3.2/butcher/R/bart.R |only butcher-0.3.2/butcher/R/coxph.R |only butcher-0.3.2/butcher/R/ipred.R |only butcher-0.3.2/butcher/R/klaR.R |only butcher-0.3.2/butcher/R/locate.R | 2 butcher-0.3.2/butcher/R/mass.R |only butcher-0.3.2/butcher/R/mda.R | 35 +++ butcher-0.3.2/butcher/R/mixOmics.R |only butcher-0.3.2/butcher/R/utilities.R |only butcher-0.3.2/butcher/R/xrf.R |only butcher-0.3.2/butcher/README.md | 10 - butcher-0.3.2/butcher/build/butcher.pdf |binary butcher-0.3.2/butcher/build/vignette.rds |binary butcher-0.3.2/butcher/inst/doc/available-axe-methods.R | 3 butcher-0.3.2/butcher/inst/doc/available-axe-methods.Rmd | 3 butcher-0.3.2/butcher/inst/doc/available-axe-methods.html | 126 ++++++++++++-- butcher-0.3.2/butcher/inst/doc/butcher.html | 2 butcher-0.3.2/butcher/man/axe-NaiveBayes.Rd |only butcher-0.3.2/butcher/man/axe-bart.Rd |only butcher-0.3.2/butcher/man/axe-coxph.Rd |only butcher-0.3.2/butcher/man/axe-ipred.Rd |only butcher-0.3.2/butcher/man/axe-mass.Rd |only butcher-0.3.2/butcher/man/axe-mda.Rd | 32 ++- butcher-0.3.2/butcher/man/axe-pls.Rd |only butcher-0.3.2/butcher/man/axe-rda.Rd |only butcher-0.3.2/butcher/man/axe-xrf.Rd |only butcher-0.3.2/butcher/man/butcher-package.Rd | 8 butcher-0.3.2/butcher/tests/testthat/test-bart.R |only butcher-0.3.2/butcher/tests/testthat/test-coxph.R |only butcher-0.3.2/butcher/tests/testthat/test-ipred.R |only butcher-0.3.2/butcher/tests/testthat/test-klaR.R |only butcher-0.3.2/butcher/tests/testthat/test-mass.R |only butcher-0.3.2/butcher/tests/testthat/test-mda.R | 22 ++ butcher-0.3.2/butcher/tests/testthat/test-mixOmics.R |only butcher-0.3.2/butcher/tests/testthat/test-train.R | 4 butcher-0.3.2/butcher/tests/testthat/test-xrf.R |only butcher-0.3.2/butcher/vignettes/available-axe-methods.Rmd | 3 46 files changed, 316 insertions(+), 83 deletions(-)
Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium
(CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a
mandatory part of any New Drug or Biologics License Application submitted to the
United States Food and Drug Administration (FDA). Analysis derivations are
implemented in accordance with the "Analysis Data Model Implementation Guide"
(CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Author: Thomas Neitmann [aut, cre],
Stefan Bundfuss [aut],
Ben Straub [aut],
Samia Kabi [aut],
Gordon Miller [aut],
Teckla Akinyi [aut],
Andrew Smith [aut],
Konstantina Koukourikou [aut],
Ross Farrugia [aut],
Eric Simms [aut],
Annie Yang [aut],
Robin Koeger [...truncated...]
Maintainer: Thomas Neitmann <thomas.neitmann@roche.com>
Diff between admiral versions 0.9.1 dated 2022-12-23 and 0.10.0 dated 2023-03-08
admiral-0.10.0/admiral/DESCRIPTION | 13 admiral-0.10.0/admiral/MD5 | 715 ++++---- admiral-0.10.0/admiral/NAMESPACE | 45 admiral-0.10.0/admiral/NEWS.md | 158 + admiral-0.10.0/admiral/R/admiral-package.R | 20 admiral-0.10.0/admiral/R/admiral_environment.R | 5 admiral-0.10.0/admiral/R/admiral_options.R | 33 admiral-0.10.0/admiral/R/call_derivation.R | 49 admiral-0.10.0/admiral/R/call_user_fun.R | 1 admiral-0.10.0/admiral/R/compute_duration.R | 11 admiral-0.10.0/admiral/R/compute_framingham.R | 5 admiral-0.10.0/admiral/R/compute_qual_imputation.R | 2 admiral-0.10.0/admiral/R/compute_scale.R |only admiral-0.10.0/admiral/R/consolidate_metadata.R |only admiral-0.10.0/admiral/R/create_query_data.R | 142 - admiral-0.10.0/admiral/R/create_single_dose_dataset.R | 210 ++ admiral-0.10.0/admiral/R/data.R | 31 admiral-0.10.0/admiral/R/derive_adeg_params.R | 43 admiral-0.10.0/admiral/R/derive_advs_params.R | 58 admiral-0.10.0/admiral/R/derive_date_vars.R | 191 +- 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admiral-0.10.0/admiral/man/convert_na_to_blanks.Rd | 5 admiral-0.10.0/admiral/man/count_vals.Rd | 7 admiral-0.10.0/admiral/man/create_period_dataset.Rd | 16 admiral-0.10.0/admiral/man/create_query_data.Rd | 22 admiral-0.10.0/admiral/man/create_single_dose_dataset.Rd | 139 + admiral-0.10.0/admiral/man/date_source.Rd | 45 admiral-0.10.0/admiral/man/default_qtc_paramcd.Rd | 5 admiral-0.10.0/admiral/man/derivation_slice.Rd | 7 admiral-0.10.0/admiral/man/derive_derived_param.Rd | 19 admiral-0.10.0/admiral/man/derive_expected_records.Rd |only admiral-0.10.0/admiral/man/derive_extreme_event.Rd |only admiral-0.10.0/admiral/man/derive_extreme_records.Rd | 29 admiral-0.10.0/admiral/man/derive_locf_records.Rd | 79 admiral-0.10.0/admiral/man/derive_param_bmi.Rd | 13 admiral-0.10.0/admiral/man/derive_param_bsa.Rd | 17 admiral-0.10.0/admiral/man/derive_param_computed.Rd | 17 admiral-0.10.0/admiral/man/derive_param_doseint.Rd | 17 admiral-0.10.0/admiral/man/derive_param_exist_flag.Rd | 15 admiral-0.10.0/admiral/man/derive_param_exposure.Rd | 19 admiral-0.10.0/admiral/man/derive_param_extreme_event.Rd | 27 admiral-0.10.0/admiral/man/derive_param_first_event.Rd | 23 admiral-0.10.0/admiral/man/derive_param_framingham.Rd | 24 admiral-0.10.0/admiral/man/derive_param_map.Rd | 17 admiral-0.10.0/admiral/man/derive_param_qtc.Rd | 19 admiral-0.10.0/admiral/man/derive_param_rr.Rd | 13 admiral-0.10.0/admiral/man/derive_param_tte.Rd | 123 + admiral-0.10.0/admiral/man/derive_param_wbc_abs.Rd | 13 admiral-0.10.0/admiral/man/derive_summary_records.Rd | 25 admiral-0.10.0/admiral/man/derive_var_age_years.Rd | 61 admiral-0.10.0/admiral/man/derive_var_agegr_fda.Rd | 51 admiral-0.10.0/admiral/man/derive_var_analysis_ratio.Rd | 3 admiral-0.10.0/admiral/man/derive_var_anrind.Rd | 5 admiral-0.10.0/admiral/man/derive_var_atoxgr.Rd | 3 admiral-0.10.0/admiral/man/derive_var_atoxgr_dir.Rd | 3 admiral-0.10.0/admiral/man/derive_var_base.Rd | 9 admiral-0.10.0/admiral/man/derive_var_basetype.Rd | 3 admiral-0.10.0/admiral/man/derive_var_chg.Rd | 3 admiral-0.10.0/admiral/man/derive_var_confirmation_flag.Rd | 193 -- admiral-0.10.0/admiral/man/derive_var_disposition_status.Rd | 84 admiral-0.10.0/admiral/man/derive_var_dthcaus.Rd | 19 admiral-0.10.0/admiral/man/derive_var_extreme_dt.Rd | 17 admiral-0.10.0/admiral/man/derive_var_extreme_dtm.Rd | 17 admiral-0.10.0/admiral/man/derive_var_extreme_flag.Rd | 37 admiral-0.10.0/admiral/man/derive_var_joined_exist_flag.Rd |only admiral-0.10.0/admiral/man/derive_var_last_dose_amt.Rd | 22 admiral-0.10.0/admiral/man/derive_var_last_dose_date.Rd | 22 admiral-0.10.0/admiral/man/derive_var_last_dose_grp.Rd | 24 admiral-0.10.0/admiral/man/derive_var_merged_cat.Rd | 22 admiral-0.10.0/admiral/man/derive_var_merged_character.Rd | 16 admiral-0.10.0/admiral/man/derive_var_merged_exist_flag.Rd | 10 admiral-0.10.0/admiral/man/derive_var_merged_summary.Rd | 12 admiral-0.10.0/admiral/man/derive_var_obs_number.Rd | 11 admiral-0.10.0/admiral/man/derive_var_ontrtfl.Rd | 3 admiral-0.10.0/admiral/man/derive_var_pchg.Rd | 3 admiral-0.10.0/admiral/man/derive_var_relative_flag.Rd | 22 admiral-0.10.0/admiral/man/derive_var_shift.Rd | 3 admiral-0.10.0/admiral/man/derive_var_trtdurd.Rd | 3 admiral-0.10.0/admiral/man/derive_var_trtemfl.Rd | 3 admiral-0.10.0/admiral/man/derive_var_worst_flag.Rd | 108 - admiral-0.10.0/admiral/man/derive_vars_aage.Rd | 5 admiral-0.10.0/admiral/man/derive_vars_atc.Rd | 5 admiral-0.10.0/admiral/man/derive_vars_disposition_reason.Rd | 71 admiral-0.10.0/admiral/man/derive_vars_dt.Rd | 5 admiral-0.10.0/admiral/man/derive_vars_dtm.Rd | 5 admiral-0.10.0/admiral/man/derive_vars_dtm_to_dt.Rd | 7 admiral-0.10.0/admiral/man/derive_vars_dtm_to_tm.Rd | 9 admiral-0.10.0/admiral/man/derive_vars_duration.Rd | 29 admiral-0.10.0/admiral/man/derive_vars_dy.Rd | 11 admiral-0.10.0/admiral/man/derive_vars_joined.Rd | 42 admiral-0.10.0/admiral/man/derive_vars_last_dose.Rd | 40 admiral-0.10.0/admiral/man/derive_vars_merged.Rd | 48 admiral-0.10.0/admiral/man/derive_vars_merged_dt.Rd | 25 admiral-0.10.0/admiral/man/derive_vars_merged_dtm.Rd | 25 admiral-0.10.0/admiral/man/derive_vars_merged_lookup.Rd | 26 admiral-0.10.0/admiral/man/derive_vars_period.Rd | 19 admiral-0.10.0/admiral/man/derive_vars_query.Rd | 3 admiral-0.10.0/admiral/man/derive_vars_transposed.Rd | 8 admiral-0.10.0/admiral/man/dt_level.Rd | 3 admiral-0.10.0/admiral/man/dthcaus_source.Rd | 26 admiral-0.10.0/admiral/man/dtm_level.Rd | 3 admiral-0.10.0/admiral/man/event.Rd |only admiral-0.10.0/admiral/man/event_source.Rd | 26 admiral-0.10.0/admiral/man/ex_single.Rd | 2 admiral-0.10.0/admiral/man/example_qs.Rd |only admiral-0.10.0/admiral/man/extend_source_datasets.Rd | 21 admiral-0.10.0/admiral/man/extract_duplicate_records.Rd | 7 admiral-0.10.0/admiral/man/filter_confirmation.Rd | 183 -- admiral-0.10.0/admiral/man/filter_date_sources.Rd | 25 admiral-0.10.0/admiral/man/filter_extreme.Rd | 17 admiral-0.10.0/admiral/man/filter_joined.Rd |only admiral-0.10.0/admiral/man/filter_relative.Rd | 25 admiral-0.10.0/admiral/man/format.basket_select.Rd | 19 admiral-0.10.0/admiral/man/format_eoxxstt_default.Rd | 47 admiral-0.10.0/admiral/man/format_reason_default.Rd | 46 admiral-0.10.0/admiral/man/get_admiral_option.Rd | 12 admiral-0.10.0/admiral/man/get_duplicates_dataset.Rd | 5 admiral-0.10.0/admiral/man/get_imputation_target_date.Rd | 3 admiral-0.10.0/admiral/man/get_imputation_target_time.Rd | 3 admiral-0.10.0/admiral/man/get_many_to_one_dataset.Rd | 5 admiral-0.10.0/admiral/man/get_one_to_many_dataset.Rd | 5 admiral-0.10.0/admiral/man/get_partialdatetime.Rd | 3 admiral-0.10.0/admiral/man/get_summary_records.Rd | 26 admiral-0.10.0/admiral/man/get_terms_from_db.Rd | 3 admiral-0.10.0/admiral/man/impute_dtc_dt.Rd | 7 admiral-0.10.0/admiral/man/impute_dtc_dtm.Rd | 7 admiral-0.10.0/admiral/man/list_all_templates.Rd | 3 admiral-0.10.0/admiral/man/list_tte_source_objects.Rd | 19 admiral-0.10.0/admiral/man/max_cond.Rd | 7 admiral-0.10.0/admiral/man/min_cond.Rd | 7 admiral-0.10.0/admiral/man/negate_vars.Rd | 9 admiral-0.10.0/admiral/man/params.Rd | 35 admiral-0.10.0/admiral/man/pipe.Rd |only admiral-0.10.0/admiral/man/print.adam_templates.Rd | 3 admiral-0.10.0/admiral/man/print.source.Rd | 3 admiral-0.10.0/admiral/man/print_named_list.Rd | 3 admiral-0.10.0/admiral/man/queries.Rd | 2 admiral-0.10.0/admiral/man/queries_mh.Rd | 2 admiral-0.10.0/admiral/man/query.Rd | 20 admiral-0.10.0/admiral/man/reexport-desc.Rd |only admiral-0.10.0/admiral/man/reexport-exprs.Rd |only admiral-0.10.0/admiral/man/restrict_derivation.Rd | 20 admiral-0.10.0/admiral/man/restrict_imputed_dtc_dt.Rd | 3 admiral-0.10.0/admiral/man/restrict_imputed_dtc_dtm.Rd | 3 admiral-0.10.0/admiral/man/roxygen/meta.R | 3 admiral-0.10.0/admiral/man/set_admiral_options.Rd | 22 admiral-0.10.0/admiral/man/signal_duplicate_records.Rd | 7 admiral-0.10.0/admiral/man/slice_derivation.Rd | 16 admiral-0.10.0/admiral/man/tte_source.Rd | 24 admiral-0.10.0/admiral/man/tte_source_objects.Rd | 17 admiral-0.10.0/admiral/man/use_ad_template.Rd | 5 admiral-0.10.0/admiral/man/validate_basket_select.Rd | 19 admiral-0.10.0/admiral/man/validate_query.Rd | 19 admiral-0.10.0/admiral/man/vars.Rd |only admiral-0.10.0/admiral/man/yn_to_numeric.Rd | 7 admiral-0.10.0/admiral/tests/testthat.R | 8 admiral-0.10.0/admiral/tests/testthat/test-admiral_options.R | 23 admiral-0.10.0/admiral/tests/testthat/test-call_derivation.R | 40 admiral-0.10.0/admiral/tests/testthat/test-compute_scale.R |only admiral-0.10.0/admiral/tests/testthat/test-consolidate_metadata.R |only admiral-0.10.0/admiral/tests/testthat/test-create_single_dose_dataset.R | 145 + admiral-0.10.0/admiral/tests/testthat/test-deprecation.R | 298 +-- admiral-0.10.0/admiral/tests/testthat/test-derive_advs_params.R | 56 admiral-0.10.0/admiral/tests/testthat/test-derive_date_vars.R | 430 ++++- admiral-0.10.0/admiral/tests/testthat/test-derive_expected_records.R |only admiral-0.10.0/admiral/tests/testthat/test-derive_extreme_event.R |only admiral-0.10.0/admiral/tests/testthat/test-derive_extreme_records.R | 6 admiral-0.10.0/admiral/tests/testthat/test-derive_joined.R | 24 admiral-0.10.0/admiral/tests/testthat/test-derive_locf_records.R | 66 admiral-0.10.0/admiral/tests/testthat/test-derive_merged.R | 398 +++- admiral-0.10.0/admiral/tests/testthat/test-derive_param_computed.R | 39 admiral-0.10.0/admiral/tests/testthat/test-derive_param_doseint.R | 4 admiral-0.10.0/admiral/tests/testthat/test-derive_param_exist_flag.R | 8 admiral-0.10.0/admiral/tests/testthat/test-derive_param_exposure.R | 52 admiral-0.10.0/admiral/tests/testthat/test-derive_param_extreme_event.R | 52 admiral-0.10.0/admiral/tests/testthat/test-derive_param_framingham.R | 4 admiral-0.10.0/admiral/tests/testthat/test-derive_param_qtc.R | 2 admiral-0.10.0/admiral/tests/testthat/test-derive_param_rr.R | 4 admiral-0.10.0/admiral/tests/testthat/test-derive_param_tte.R | 218 +- admiral-0.10.0/admiral/tests/testthat/test-derive_param_wbc_abs.R | 46 admiral-0.10.0/admiral/tests/testthat/test-derive_summary_records.R | 38 admiral-0.10.0/admiral/tests/testthat/test-derive_var_atoxgr.R | 59 admiral-0.10.0/admiral/tests/testthat/test-derive_var_base.R | 8 admiral-0.10.0/admiral/tests/testthat/test-derive_var_dthcaus.R | 10 admiral-0.10.0/admiral/tests/testthat/test-derive_var_extreme_date.R | 10 admiral-0.10.0/admiral/tests/testthat/test-derive_var_extreme_flag.R | 28 admiral-0.10.0/admiral/tests/testthat/test-derive_var_joined_exist_flag.R |only admiral-0.10.0/admiral/tests/testthat/test-derive_var_last_dose_amt.R | 6 admiral-0.10.0/admiral/tests/testthat/test-derive_var_last_dose_date.R | 8 admiral-0.10.0/admiral/tests/testthat/test-derive_var_last_dose_grp.R | 2 admiral-0.10.0/admiral/tests/testthat/test-derive_var_obs_number.R | 6 admiral-0.10.0/admiral/tests/testthat/test-derive_var_relative_flag.R | 8 admiral-0.10.0/admiral/tests/testthat/test-derive_vars_dtm_to_dt.R | 13 admiral-0.10.0/admiral/tests/testthat/test-derive_vars_dtm_to_tm.R | 12 admiral-0.10.0/admiral/tests/testthat/test-derive_vars_dy.R | 57 admiral-0.10.0/admiral/tests/testthat/test-derive_vars_last_dose.R | 26 admiral-0.10.0/admiral/tests/testthat/test-derive_vars_query.R | 32 admiral-0.10.0/admiral/tests/testthat/test-derive_vars_transposed.R | 4 admiral-0.10.0/admiral/tests/testthat/test-duplicates.R | 4 admiral-0.10.0/admiral/tests/testthat/test-filter_extreme.R | 6 admiral-0.10.0/admiral/tests/testthat/test-filter_joined.R |only admiral-0.10.0/admiral/tests/testthat/test-filter_relative.R | 32 admiral-0.10.0/admiral/tests/testthat/test-period_dataset.R | 22 admiral-0.10.0/admiral/tests/testthat/test-restrict_derivation.R | 2 admiral-0.10.0/admiral/tests/testthat/test-slice_derivation.R | 41 admiral-0.10.0/admiral/tests/testthat/test-user_helpers.R | 18 admiral-0.10.0/admiral/tests/testthat/test-user_utils.R | 12 admiral-0.10.0/admiral/vignettes/adsl.Rmd | 219 +- admiral-0.10.0/admiral/vignettes/bds_exposure.Rmd | 66 admiral-0.10.0/admiral/vignettes/bds_finding.Rmd | 164 - admiral-0.10.0/admiral/vignettes/bds_tte.Rmd | 70 admiral-0.10.0/admiral/vignettes/generic.Rmd | 46 admiral-0.10.0/admiral/vignettes/higher_order.Rmd | 50 admiral-0.10.0/admiral/vignettes/hys_law.Rmd |only admiral-0.10.0/admiral/vignettes/imputation.Rmd | 18 admiral-0.10.0/admiral/vignettes/lab_grading.Rmd | 44 admiral-0.10.0/admiral/vignettes/occds.Rmd | 48 admiral-0.10.0/admiral/vignettes/pk_adnca.Rmd |only admiral-0.10.0/admiral/vignettes/queries_dataset.Rmd | 4 admiral-0.10.0/admiral/vignettes/questionnaires.Rmd |only admiral-0.10.0/admiral/vignettes/visits_periods.Rmd | 16 admiral-0.9.1/admiral/R/derive_var_ady.R |only admiral-0.9.1/admiral/R/derive_var_aendy.R |only admiral-0.9.1/admiral/R/derive_var_astdy.R |only admiral-0.9.1/admiral/R/derive_var_atirel.R |only admiral-0.9.1/admiral/R/derive_var_confirmation_flag.R |only admiral-0.9.1/admiral/R/derive_vars_suppqual.R |only admiral-0.9.1/admiral/R/filter_confirmation.R |only admiral-0.9.1/admiral/man/derive_var_ady.Rd |only admiral-0.9.1/admiral/man/derive_var_aendy.Rd |only admiral-0.9.1/admiral/man/derive_var_astdy.Rd |only admiral-0.9.1/admiral/man/derive_var_atirel.Rd |only admiral-0.9.1/admiral/man/derive_vars_suppqual.Rd |only admiral-0.9.1/admiral/man/reexports.Rd |only admiral-0.9.1/admiral/man/sdg_select.Rd |only admiral-0.9.1/admiral/man/smq_select.Rd |only admiral-0.9.1/admiral/tests/testthat/test-derive_var_confirmation_flag.R |only admiral-0.9.1/admiral/tests/testthat/test-derive_var_disposition_status.R |only admiral-0.9.1/admiral/tests/testthat/test-derive_vars_disposition_reason.R |only admiral-0.9.1/admiral/tests/testthat/test-filter_confirmation.R |only 389 files changed, 7481 insertions(+), 7049 deletions(-)
Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word', 'RTF' and 'Microsoft PowerPoint' documents from R.
The package focuses on tabular and graphical reporting from R; it also provides two functions
that let users get document content into data objects. A set of functions
lets add and remove images, tables and paragraphs of text in new or existing documents.
The package does not require any installation of Microsoft products to be able to write Microsoft
files.
Author: David Gohel [aut, cre],
ArData [cph],
Frank Hangler [ctb] ,
Liz Sander [ctb] ,
Anton Victorson [ctb] ,
Jon Calder [ctb] ,
John Harrold [ctb] ,
John Muschelli [ctb] ,
Bill Denney [ctb] ,
Nikolai Beck [ctb] ,
Stefan Moog [ctb] ,
Greg Leleu [ctb] ,
Hong [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>
Diff between officer versions 0.6.0 dated 2023-02-17 and 0.6.1 dated 2023-03-08
officer-0.6.0/officer/R/deprecated.R |only officer-0.6.0/officer/man/slip_in_footnote.Rd |only officer-0.6.1/officer/DESCRIPTION | 8 officer-0.6.1/officer/MD5 | 46 +- officer-0.6.1/officer/NAMESPACE | 4 officer-0.6.1/officer/NEWS.md | 19 + officer-0.6.1/officer/R/defunct.R | 7 officer-0.6.1/officer/R/docx_add.R | 411 ++++++++++++++------------ officer-0.6.1/officer/R/fortify_docx.R | 2 officer-0.6.1/officer/R/ooxml_block_objects.R | 13 officer-0.6.1/officer/R/ppt_ph_with_methods.R | 4 officer-0.6.1/officer/R/rtf.R | 54 +++ officer-0.6.1/officer/man/body_add.Rd | 6 officer-0.6.1/officer/man/body_add_blocks.Rd | 4 officer-0.6.1/officer/man/body_add_caption.Rd | 25 + officer-0.6.1/officer/man/body_add_fpar.Rd | 20 - officer-0.6.1/officer/man/body_add_gg.Rd | 11 officer-0.6.1/officer/man/body_add_img.Rd | 6 officer-0.6.1/officer/man/body_add_par.Rd | 2 officer-0.6.1/officer/man/body_add_plot.Rd | 13 officer-0.6.1/officer/man/body_add_table.Rd | 2 officer-0.6.1/officer/man/body_add_toc.Rd | 2 officer-0.6.1/officer/man/body_remove.Rd | 3 officer-0.6.1/officer/man/docx_summary.Rd | 2 officer-0.6.1/officer/man/officer-defunct.Rd | 5 25 files changed, 409 insertions(+), 260 deletions(-)
Title: Matrices in Data Frames
Description: Provides functions to collapse a tidy data frame into matrices in a data frame
and expand a data frame of matrices into a tidy data frame.
Author: Matthew Heun [aut, cre]
Maintainer: Matthew Heun <matthew.heun@me.com>
Diff between matsindf versions 0.3.12 dated 2023-01-24 and 0.4.0 dated 2023-03-08
DESCRIPTION | 8 - MD5 | 38 +++--- NEWS.md | 18 ++ R/collapse.R | 18 ++ R/matsindf_apply.R | 2 R/utilities.R | 34 ++++- inst/CITATION | 30 ++-- inst/doc/iris_pca.html | 26 ++-- inst/doc/matsindf.R | 4 inst/doc/matsindf.Rmd | 4 inst/doc/matsindf.html | 8 - inst/doc/midf_apply_primer.html | 4 man/collapse_to_matrices.Rd | 11 + man/matrix_cols.Rd | 6 man/rowcolval_to_mat.Rd | 12 + tests/testthat/test-collapse.R | 212 ++++++++++++++++++++++++++++++++++- tests/testthat/test-expand.R | 151 ++++++++++++++++++++++++ tests/testthat/test-matsindf_apply.R | 166 +++++++++++++++++++++++++++ tests/testthat/test-utilities.R | 165 ++++++++++++++++++++++----- vignettes/matsindf.Rmd | 4 20 files changed, 810 insertions(+), 111 deletions(-)