Title: Data Sets from Montgomery, Peck and Vining
Description: Most of this package consists of data sets from the
textbook Introduction
to Linear Regression Analysis (3rd ed), by Montgomery, Peck
and Vining.
Some additional data sets and functions are also included.
Author: W.J. Braun and S. MacQueen
Maintainer: W.J. Braun <john.braun@ubc.ca>
Diff between MPV versions 1.55 dated 2019-08-03 and 1.56 dated 2021-01-09
DESCRIPTION | 13 ++++++------- MD5 | 35 ++++++++++++++++++++++++++++++++--- NAMESPACE | 11 ++++++----- R/BCCIPlot.R |only R/BCLPBias.R |only R/BiasVarPlot.R | 5 ++++- data/Juliet.R |only data/Wpgtemp.R |only data/bp.R |only data/cigbutts.R |only data/earthquake.R |only data/fires.R |only data/gasdata.R |only data/lengthguesses.R |only data/lengthguesses.rda |only data/lesions.R |only data/motor.R |only data/noisyimage.R |only data/oldwash.R |only data/pathoeg.R |only data/seismictimings.R |only data/stain.R |only data/tarimage.R |only data/windWin80.R |only man/BCCIPlot.Rd |only man/BCLPBias.Rd |only man/Wpgtemp.Rd |only man/bp.Rd |only man/earthquake.Rd |only man/fires.Rd |only man/lengthguesses.Rd |only man/lesions.Rd |only man/seismictimings.Rd |only 33 files changed, 48 insertions(+), 16 deletions(-)
Title: Miscellaneous Functions for Working with 'stars' Rasters
Description: Miscellaneous functions for working with 'stars' objects, mainly single-band rasters. Currently includes functions for: (1) focal filtering, (2) detrending of Digital Elevation Models, (3) calculating flow length, (4) calculating the Convergence Index, (5) calculating topographic aspect and topographic slope.
Author: Michael Dorman [aut, cre]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>
Diff between starsExtra versions 0.2.0 dated 2020-11-01 and 0.2.2 dated 2021-01-09
DESCRIPTION | 6 MD5 | 34 NAMESPACE | 1 NEWS.md | 17 R/CI.R | 11 R/aspect.R | 7 R/focal2.R | 19 R/mode.R |only R/slope.R | 3 inst/doc/intro.html | 1798 ++++------------------------------------ inst/tinytest/test-focal2.R | 69 + inst/tinytest/test-focal2r.R | 10 inst/tinytest/test-mode_value.R |only man/focal2.Rd | 2 man/mode_value.Rd |only src/focal2.c | 86 - src/max.c |only src/mean.c |only src/min.c |only src/mode.c |only src/starsExtra_init.c | 6 src/sum.c |only 22 files changed, 378 insertions(+), 1691 deletions(-)
Title: Infer Geographic Origin from Isotopic Data
Description: Routines for re-scaling isotope maps using known-origin tissue isotope data, assigning origin of unknown samples, and summarizing and assessing assignment results. Methods are adapted from Wunder (2010, in ISBN:9789048133536) and Vander Zanden, H. B. et al. (2014) <doi:10.1111/2041-210X.12229> as described in Ma, C. et al. (2020) <doi:10.1111/2041-210X.13426>.
Author: Chao Ma, Gabe Bowen
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>
Diff between assignR versions 1.2.1 dated 2020-06-03 and 2.0.0 dated 2021-01-09
assignR-1.2.1/assignR/data/datalist |only assignR-2.0.0/assignR/DESCRIPTION | 9 assignR-2.0.0/assignR/MD5 | 91 - assignR-2.0.0/assignR/NAMESPACE | 6 assignR-2.0.0/assignR/NEWS.md | 9 assignR-2.0.0/assignR/R/QA.R | 266 +++- assignR-2.0.0/assignR/R/calRaster.R | 90 + assignR-2.0.0/assignR/R/pdRaster.R | 23 assignR-2.0.0/assignR/R/plot.QA.R | 30 assignR-2.0.0/assignR/R/refTrans.R |only assignR-2.0.0/assignR/R/subOrigData.R | 128 +- assignR-2.0.0/assignR/R/sysdata.rda |binary assignR-2.0.0/assignR/README.md | 20 assignR-2.0.0/assignR/build/partial.rdb |only assignR-2.0.0/assignR/build/vignette.rds |binary assignR-2.0.0/assignR/data/d18o_world.rda |binary assignR-2.0.0/assignR/data/d2h_lrNA.rda |binary assignR-2.0.0/assignR/data/d2h_world.rda |binary assignR-2.0.0/assignR/data/knownOrig.rda |binary assignR-2.0.0/assignR/data/naMap.rda |binary assignR-2.0.0/assignR/data/states.rda |binary assignR-2.0.0/assignR/data/stds.rda |only assignR-2.0.0/assignR/inst/doc/assignR.R | 62 - assignR-2.0.0/assignR/inst/doc/assignR.Rmd | 97 + assignR-2.0.0/assignR/inst/doc/assignR.html | 899 +++------------- assignR-2.0.0/assignR/man/QA.rd | 35 assignR-2.0.0/assignR/man/calRaster.Rd | 8 assignR-2.0.0/assignR/man/d18o_world.Rd | 2 assignR-2.0.0/assignR/man/d2h_lrNA.Rd | 2 assignR-2.0.0/assignR/man/d2h_world.Rd | 2 assignR-2.0.0/assignR/man/jointP.Rd | 7 assignR-2.0.0/assignR/man/knownOrig.Rd | 96 + assignR-2.0.0/assignR/man/oddsRatio.Rd | 7 assignR-2.0.0/assignR/man/pdRaster.Rd | 8 assignR-2.0.0/assignR/man/plot.QA.Rd | 4 assignR-2.0.0/assignR/man/qtlRaster.Rd | 11 assignR-2.0.0/assignR/man/refTrans.Rd |only assignR-2.0.0/assignR/man/stds.Rd |only assignR-2.0.0/assignR/man/subOrigData.Rd | 56 assignR-2.0.0/assignR/man/unionP.Rd | 7 assignR-2.0.0/assignR/tests/testthat/test_calRaster.R | 43 assignR-2.0.0/assignR/tests/testthat/test_jointP.R | 2 assignR-2.0.0/assignR/tests/testthat/test_oddsRatio.R | 3 assignR-2.0.0/assignR/tests/testthat/test_pdRaster.R | 11 assignR-2.0.0/assignR/tests/testthat/test_plot.QA.R | 10 assignR-2.0.0/assignR/tests/testthat/test_qtlRaster.R | 3 assignR-2.0.0/assignR/tests/testthat/test_refTrans.R |only assignR-2.0.0/assignR/tests/testthat/test_subOrigData.R | 12 assignR-2.0.0/assignR/tests/testthat/test_unionP.R | 3 assignR-2.0.0/assignR/vignettes/assignR.Rmd | 97 + 50 files changed, 1033 insertions(+), 1126 deletions(-)
Title: Interpretive Clustering for Repertory Grids
Description: Shiny UI to identify cliques of related constructs in repertory grid data.
See Burr, King, & Heckmann (2020) <doi:10.1080/14780887.2020.1794088> for a description
of the interpretive clustering (IC) method.
Author: Mark Heckmann [aut, cre, cph] (<https://orcid.org/0000-0002-0736-7417>),
Viv Burr [aut],
Nigel King [aut]
Maintainer: Mark Heckmann <heckmann.mark@gmail.com>
Diff between OpenRepGrid.ic versions 0.4.0 dated 2020-11-15 and 0.5.0 dated 2021-01-09
OpenRepGrid.ic-0.4.0/OpenRepGrid.ic/R/00-utils.R |only OpenRepGrid.ic-0.4.0/OpenRepGrid.ic/R/01-grid.R |only OpenRepGrid.ic-0.4.0/OpenRepGrid.ic/inst/shiny/www/pamela_cliques.png |only OpenRepGrid.ic-0.4.0/OpenRepGrid.ic/inst/shiny/www/sylvia_cliques_drawn.png |only OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/DESCRIPTION | 8 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/MD5 | 48 +-- OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/R/01-utils.R |only OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/R/02-calculate.R | 140 +++++++--- OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/R/03-excel.R | 23 + OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/R/OpenRepGrid.ic.R | 7 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/build |only OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/examples/01-process-excel-file.R | 4 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/extdata/legend_images.png |only OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/extdata/sylvia.xlsx |binary OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/shiny/rsconnect |only OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/shiny/server.R | 15 - OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/shiny/ui.R | 24 + OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/shiny/www/method.Rmd | 14 - OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/shiny/www/method.html | 36 +- OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/inst/shiny/www/sylvia_cliques.png |binary OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/OpenRepGrid.ic.Rd | 9 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/align_positive_poles.Rd |only OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/calculate_similarity.Rd | 4 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/cell_text_split.Rd | 2 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/dt_default.Rd | 2 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/emptify_object.Rd | 2 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/fnum.Rd | 2 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/make-names.Rd | 2 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/network_graph_images.Rd | 11 OpenRepGrid.ic-0.5.0/OpenRepGrid.ic/man/valence_pole_prefix.Rd |only 30 files changed, 240 insertions(+), 113 deletions(-)
More information about OpenRepGrid.ic at CRAN
Permanent link
Title: Southwest Fisheries Science Center Aerial DAS Data Processing
Description: Process and summarize aerial survey 'DAS' data (AirDAS)
<https://swfsc-publications.fisheries.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-185.PDF>
collected using an aerial survey program from the
Southwest Fisheries Science Center (SWFSC)
<https://www.fisheries.noaa.gov/west-coast/science-data/california-current-marine-mammal-assessment-program>.
PDF files detailing the relevant AirDAS data formats are included in this package.
Author: Sam Woodman [aut, cre] (<https://orcid.org/0000-0001-6071-8186>)
Maintainer: Sam Woodman <sam.woodman@noaa.gov>
Diff between swfscAirDAS versions 0.2.1 dated 2020-09-07 and 0.2.2 dated 2021-01-09
DESCRIPTION | 6 ++-- MD5 | 34 +++++++++++++------------- NAMESPACE | 1 NEWS.md | 7 +++++ R/airdas_chop_condition.R | 7 +++-- R/airdas_chop_equallength.R | 7 +++-- R/airdas_chop_section.R | 7 +++-- R/airdas_effort.R | 6 +++- R/airdas_segdata.R | 19 ++++++++------ R/swfscAirDAS-package.R | 1 README.md | 39 ++++++++++++------------------ build/vignette.rds |binary inst/doc/swfscAirDAS.html | 52 ++++++++++++++++++++++++----------------- man/airdas_chop_condition.Rd | 6 +++- man/airdas_chop_equallength.Rd | 6 +++- man/airdas_chop_section.Rd | 6 +++- man/airdas_effort.Rd | 6 +++- man/airdas_segdata.Rd | 9 ++++--- 18 files changed, 127 insertions(+), 92 deletions(-)
Title: Processing and Physical Activity Summaries of Minute Level
Activity Data
Description: Provides functions to process minute level actigraphy-measured activity counts data and extract commonly used physical activity volume and fragmentation metrics.
Author: Marta Karas [aut, cre] (<https://orcid.org/0000-0001-5889-3970>),
Jacek Urbanek [aut] (<https://orcid.org/0000-0002-1890-8899>),
Jennifer Schrack [aut] (<https://orcid.org/0000-0001-9244-9267>)
Maintainer: Marta Karas <marta.karass@gmail.com>
Diff between arctools versions 1.0.0 dated 2020-11-27 and 1.1.0 dated 2021-01-09
DESCRIPTION | 6 +++--- MD5 | 11 ++++++----- NEWS.md |only R/midnight_to_midnight.R | 7 ++++++- README.md | 4 ++++ inst/doc/arctools_intro.html | 40 +--------------------------------------- man/midnight_to_midnight.Rd | 2 +- 7 files changed, 21 insertions(+), 49 deletions(-)
Title: Immune Cell Gene Signatures for Profiling the Microenvironment
of Solid Tumours
Description: Estimate the relative abundance of tissue-infiltrating immune subpopulations abundances using gene expression data.
Author: Ajit Johnson Nirmal
Maintainer: Ajit Johnson Nirmal <ajitjohnson.n@gmail.com>
Diff between imsig versions 1.0.0 dated 2018-07-10 and 1.1.3 dated 2021-01-09
DESCRIPTION | 8 ++++---- MD5 | 26 +++++++++++++------------- R/imsig.R | 8 +++++--- R/imsig_survival.R | 6 +++--- R/pp_exp.R | 3 ++- R/pp_sig.R | 3 ++- README.md | 22 ++++++++++++++++++++-- man/example_cli.Rd | 4 +++- man/example_data.Rd | 4 +++- man/imsig.Rd | 8 ++++++-- man/imsig_survival.Rd | 2 +- man/plot_network.Rd | 14 +++++++++++--- man/sig.Rd | 4 +++- tests/testthat/test_imsig.R | 2 +- 14 files changed, 77 insertions(+), 37 deletions(-)
Title: Collection of Convenient Functions for Common Statistical
Computations
Description: Collection of convenient functions for common statistical computations,
which are not directly provided by R's base or stats packages.
This package aims at providing, first, shortcuts for statistical measures,
which otherwise could only be calculated with additional effort
(like Cramer's V, Phi, or effect size statistics like Eta or Omega squared),
or for which currently no functions available. Second, another focus
lies on weighted variants of common statistical measures and tests
like weighted standard error, mean, t-test, correlation, and more.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
Diff between sjstats versions 0.18.0 dated 2020-05-06 and 0.18.1 dated 2021-01-09
sjstats-0.18.0/sjstats/R/epsilon_sq.R |only sjstats-0.18.0/sjstats/R/eta_sq.R |only sjstats-0.18.0/sjstats/R/mediation.R |only sjstats-0.18.0/sjstats/R/odds_to_rr.R |only sjstats-0.18.0/sjstats/R/omega_sq.R |only sjstats-0.18.0/sjstats/R/partial_eta_sq_ci.R |only sjstats-0.18.0/sjstats/R/svy_scale_weights.R |only sjstats-0.18.0/sjstats/R/tidy_stan.R |only sjstats-0.18.0/sjstats/data/fish.RData |only sjstats-0.18.0/sjstats/man/eta_sq.Rd |only sjstats-0.18.0/sjstats/man/fish.Rd |only sjstats-0.18.0/sjstats/man/mediation.Rd |only sjstats-0.18.0/sjstats/man/odds_to_rr.Rd |only sjstats-0.18.0/sjstats/man/scale_weights.Rd |only sjstats-0.18.0/sjstats/man/sjstats-package.Rd |only sjstats-0.18.0/sjstats/man/tidy_stan.Rd |only sjstats-0.18.0/sjstats/tests/testthat/test-anova_stats.R |only sjstats-0.18.1/sjstats/DESCRIPTION | 26 +- sjstats-0.18.1/sjstats/MD5 | 74 +++----- sjstats-0.18.1/sjstats/NAMESPACE | 32 --- sjstats-0.18.1/sjstats/NEWS.md | 29 +++ sjstats-0.18.1/sjstats/R/Deprecated.R | 59 ++++++ sjstats-0.18.1/sjstats/R/S3-methods.R | 137 +++++---------- sjstats-0.18.1/sjstats/R/anova_stats.R | 37 +++- sjstats-0.18.1/sjstats/R/boot_ci.R | 4 sjstats-0.18.1/sjstats/R/bootstrap.R | 2 sjstats-0.18.1/sjstats/R/gmd.R | 2 sjstats-0.18.1/sjstats/R/grpmean.R | 31 +-- sjstats-0.18.1/sjstats/R/helpfunctions.R | 7 sjstats-0.18.1/sjstats/R/nhanes_sample.R | 11 - sjstats-0.18.1/sjstats/R/prop.R | 8 sjstats-0.18.1/sjstats/R/wtd_chisqtest.R | 61 +++++- sjstats-0.18.1/sjstats/R/wtd_mwu.R | 15 - sjstats-0.18.1/sjstats/R/wtd_sd.R | 8 sjstats-0.18.1/sjstats/R/xtab_statistics.R | 1 sjstats-0.18.1/sjstats/README.md | 6 sjstats-0.18.1/sjstats/build/partial.rdb |binary sjstats-0.18.1/sjstats/man/anova_stats.Rd |only sjstats-0.18.1/sjstats/man/boot_ci.Rd | 4 sjstats-0.18.1/sjstats/man/gmd.Rd | 2 sjstats-0.18.1/sjstats/man/prop.Rd | 6 sjstats-0.18.1/sjstats/man/r2.Rd | 19 +- sjstats-0.18.1/sjstats/man/reexports.Rd | 60 +++--- sjstats-0.18.1/sjstats/man/weighted_sd.Rd | 8 sjstats-0.18.1/sjstats/tests/testthat/test-autoprior.R | 8 sjstats-0.18.1/sjstats/tests/testthat/test-grpmean.R | 12 - sjstats-0.18.1/sjstats/tests/testthat/test-wtd.R | 2 47 files changed, 375 insertions(+), 296 deletions(-)
Title: Bayesian Network Meta-Analysis of Individual and Aggregate Data
Description: Network meta-analysis and network meta-regression models for
aggregate data, individual patient data, and mixtures of both individual
and aggregate data using multilevel network meta-regression as described by
Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a
Bayesian framework using 'Stan'.
Author: David M. Phillippo [aut, cre] (<https://orcid.org/0000-0003-2672-7841>)
Maintainer: David M. Phillippo <david.phillippo@bristol.ac.uk>
Diff between multinma versions 0.2.0 dated 2020-12-04 and 0.2.1 dated 2021-01-09
DESCRIPTION | 6 - MD5 | 24 ++--- NEWS.md | 11 ++ R/integration.R | 31 +++---- R/nma.R | 33 +++++++ R/relative_effects.R | 26 ++++-- README.md | 4 build/partial.rdb |binary man/hta_psoriasis.Rd | 94 +++++++++++----------- man/nma.Rd | 34 +++++++ tests/testthat/test-add_integration.R | 67 +++++++++++++++ tests/testthat/test-example_atrial_fibrillation.R | 69 ++++++++++++++++ tests/testthat/test-example_plaque_psoriasis.R | 44 +++++++++- 13 files changed, 351 insertions(+), 92 deletions(-)
Title: Interface to 'fastai'
Description: The 'fastai' <https://docs.fast.ai/index.html> library
simplifies training fast and accurate neural networks
using modern best practices. It is based on research
in to deep learning best practices undertaken
at 'fast.ai', including 'out of the box' support
for vision, text, tabular, audio, time series, and
collaborative filtering models.
Author: Turgut Abdullayev [ctb, cre, cph, aut]
Maintainer: Turgut Abdullayev <turqut.a.314@gmail.com>
Diff between fastai versions 2.0.2 dated 2020-12-09 and 2.0.3 dated 2021-01-09
fastai-2.0.2/fastai/tests/testthat/test-collab.R |only fastai-2.0.3/fastai/DESCRIPTION | 6 fastai-2.0.3/fastai/MD5 | 399 ++++-- fastai-2.0.3/fastai/NAMESPACE | 179 ++ fastai-2.0.3/fastai/NEWS.md | 10 fastai-2.0.3/fastai/R/GAN.R | 65 - fastai-2.0.3/fastai/R/Learner_fits.R | 27 fastai-2.0.3/fastai/R/Loss.R | 18 fastai-2.0.3/fastai/R/audio_aug_signal.R | 24 fastai-2.0.3/fastai/R/audio_aug_spectrogram.R | 20 fastai-2.0.3/fastai/R/audio_core_config.R | 82 + fastai-2.0.3/fastai/R/audio_core_signal.R | 37 fastai-2.0.3/fastai/R/audio_core_spectrogram.R | 3 fastai-2.0.3/fastai/R/blocks.R | 102 + fastai-2.0.3/fastai/R/blurr_hugging_face.R | 34 fastai-2.0.3/fastai/R/bs_finder.R | 2 fastai-2.0.3/fastai/R/callbacks.R | 86 + fastai-2.0.3/fastai/R/callbacks_data.R |only fastai-2.0.3/fastai/R/callbacks_hook.R |only fastai-2.0.3/fastai/R/callbacks_mixup_preds_rnn.R |only fastai-2.0.3/fastai/R/callbacks_schedule.R |only fastai-2.0.3/fastai/R/callbacks_training.R |only fastai-2.0.3/fastai/R/cnn_learner.R | 57 fastai-2.0.3/fastai/R/collab.R | 54 fastai-2.0.3/fastai/R/cycleGAN_models.R | 36 fastai-2.0.3/fastai/R/fastinference.R | 8 fastai-2.0.3/fastai/R/freeze.R |only fastai-2.0.3/fastai/R/icevision_albumentations.R |only fastai-2.0.3/fastai/R/icevision_dataloaders.R |only fastai-2.0.3/fastai/R/icevision_dataset.R |only fastai-2.0.3/fastai/R/icevision_datasplitters.R |only fastai-2.0.3/fastai/R/icevision_efficentdet.R |only fastai-2.0.3/fastai/R/icevision_faster_rcnn.R |only fastai-2.0.3/fastai/R/icevision_mask_rcnn.R |only fastai-2.0.3/fastai/R/icevision_metrics.R |only fastai-2.0.3/fastai/R/icevision_models.R |only fastai-2.0.3/fastai/R/icevision_parsers.R |only fastai-2.0.3/fastai/R/icevision_utils.R |only fastai-2.0.3/fastai/R/import_modules.R | 5 fastai-2.0.3/fastai/R/install_fastai.R | 63 - fastai-2.0.3/fastai/R/layers.R | 58 fastai-2.0.3/fastai/R/losses.R | 6 fastai-2.0.3/fastai/R/medical.R | 8 fastai-2.0.3/fastai/R/metric.R | 177 ++ fastai-2.0.3/fastai/R/package.R | 4 fastai-2.0.3/fastai/R/predictions.R | 2 fastai-2.0.3/fastai/R/tabular.R | 25 fastai-2.0.3/fastai/R/tabular_model.R | 19 fastai-2.0.3/fastai/R/tabular_transform.R | 7 fastai-2.0.3/fastai/R/test.R | 27 fastai-2.0.3/fastai/R/text_core.R | 63 - fastai-2.0.3/fastai/R/text_data.R | 149 ++ fastai-2.0.3/fastai/R/text_learner.R | 36 fastai-2.0.3/fastai/R/text_models.R | 55 fastai-2.0.3/fastai/R/time_series_data.R | 14 fastai-2.0.3/fastai/R/time_series_tabular.R | 35 fastai-2.0.3/fastai/R/unet.R | 27 fastai-2.0.3/fastai/R/vision_augment.R | 55 fastai-2.0.3/fastai/R/vision_core.R | 23 fastai-2.0.3/fastai/R/vision_data.R | 20 fastai-2.0.3/fastai/R/vision_models.R | 611 +++++++--- fastai-2.0.3/fastai/README.md | 125 +- fastai-2.0.3/fastai/build/vignette.rds |binary fastai-2.0.3/fastai/inst/doc/Basic_Tabular.html | 40 fastai-2.0.3/fastai/inst/doc/audio.R | 3 fastai-2.0.3/fastai/inst/doc/audio.Rmd | 8 fastai-2.0.3/fastai/inst/doc/audio.html | 141 -- fastai-2.0.3/fastai/inst/doc/audio2tf.html | 40 fastai-2.0.3/fastai/inst/doc/basic_img_class.html | 40 fastai-2.0.3/fastai/inst/doc/callbacks.html | 40 fastai-2.0.3/fastai/inst/doc/catalyst.html | 40 fastai-2.0.3/fastai/inst/doc/custom_img.html | 40 fastai-2.0.3/fastai/inst/doc/data_aug.html | 40 fastai-2.0.3/fastai/inst/doc/gpt.html | 40 fastai-2.0.3/fastai/inst/doc/head_pose.html | 40 fastai-2.0.3/fastai/inst/doc/lightning.html | 40 fastai-2.0.3/fastai/inst/doc/low.html | 40 fastai-2.0.3/fastai/inst/doc/medical_dcm.html | 40 fastai-2.0.3/fastai/inst/doc/migrating_ignite.html | 40 fastai-2.0.3/fastai/inst/doc/migrating_pytorch.html | 40 fastai-2.0.3/fastai/inst/doc/multilabel.html | 40 fastai-2.0.3/fastai/inst/doc/obj_detect.html | 40 fastai-2.0.3/fastai/inst/doc/optimizer.html | 40 fastai-2.0.3/fastai/inst/doc/question_answering.html | 40 fastai-2.0.3/fastai/inst/doc/super_res_gan.html | 40 fastai-2.0.3/fastai/inst/doc/textclassification.html | 40 fastai-2.0.3/fastai/inst/doc/textsummarize.html | 40 fastai-2.0.3/fastai/inst/doc/time_series.html | 40 fastai-2.0.3/fastai/man/AdaptiveAvgPool.Rd | 2 fastai-2.0.3/fastai/man/COCOMetric.Rd |only fastai-2.0.3/fastai/man/COCOMetricType.Rd |only fastai-2.0.3/fastai/man/CollectDataCallback.Rd | 10 fastai-2.0.3/fastai/man/ConvLayer.Rd | 2 fastai-2.0.3/fastai/man/CropTime.Rd | 2 fastai-2.0.3/fastai/man/CutMix.Rd |only fastai-2.0.3/fastai/man/DenseResBlock.Rd | 2 fastai-2.0.3/fastai/man/GradientAccumulation.Rd |only fastai-2.0.3/fastai/man/HF_BeforeBatchTransform.Rd | 5 fastai-2.0.3/fastai/man/HF_SummarizationBeforeBatchTransform.Rd | 5 fastai-2.0.3/fastai/man/Hook.Rd |only fastai-2.0.3/fastai/man/HookCallback.Rd | 27 fastai-2.0.3/fastai/man/Hooks.Rd |only fastai-2.0.3/fastai/man/IDMap.Rd |only fastai-2.0.3/fastai/man/MCDropoutCallback.Rd |only fastai-2.0.3/fastai/man/MixHandler.Rd |only fastai-2.0.3/fastai/man/MixUp.Rd |only fastai-2.0.3/fastai/man/ModelResetter.Rd |only fastai-2.0.3/fastai/man/ParamScheduler.Rd |only fastai-2.0.3/fastai/man/PartialDL.Rd |only fastai-2.0.3/fastai/man/PixelShuffle_ICNR.Rd | 2 fastai-2.0.3/fastai/man/RNNRegularizer.Rd |only fastai-2.0.3/fastai/man/RandPair.Rd | 2 fastai-2.0.3/fastai/man/ResnetBlock.Rd | 2 fastai-2.0.3/fastai/man/SEModule.Rd | 2 fastai-2.0.3/fastai/man/SchedCos.Rd |only fastai-2.0.3/fastai/man/SchedExp.Rd |only fastai-2.0.3/fastai/man/SchedLin.Rd |only fastai-2.0.3/fastai/man/SchedNo.Rd |only fastai-2.0.3/fastai/man/SchedPoly.Rd |only fastai-2.0.3/fastai/man/SentencePieceTokenizer.Rd | 2 fastai-2.0.3/fastai/man/ShortEpochCallback.Rd | 10 fastai-2.0.3/fastai/man/SimpleSelfAttention.Rd | 2 fastai-2.0.3/fastai/man/Swish_.Rd | 2 fastai-2.0.3/fastai/man/TabularModel.Rd | 2 fastai-2.0.3/fastai/man/TextLearner.Rd | 2 fastai-2.0.3/fastai/man/WeightedDL.Rd |only fastai-2.0.3/fastai/man/basic_critic.Rd | 2 fastai-2.0.3/fastai/man/cnn_config.Rd | 2 fastai-2.0.3/fastai/man/conv_norm_lr.Rd | 2 fastai-2.0.3/fastai/man/create_cnn_model.Rd | 2 fastai-2.0.3/fastai/man/denormalize_imagenet.Rd |only fastai-2.0.3/fastai/man/dummy_eval.Rd |only fastai-2.0.3/fastai/man/efficientdet_infer_dl.Rd |only fastai-2.0.3/fastai/man/efficientdet_learner.Rd |only fastai-2.0.3/fastai/man/efficientdet_model.Rd |only fastai-2.0.3/fastai/man/efficientdet_predict_dl.Rd |only fastai-2.0.3/fastai/man/efficientdet_train_dl.Rd |only fastai-2.0.3/fastai/man/efficientdet_valid_dl.Rd |only fastai-2.0.3/fastai/man/fastai_version.Rd |only fastai-2.0.3/fastai/man/faster_rcnn_infer_dl.Rd |only fastai-2.0.3/fastai/man/faster_rcnn_learner.Rd |only fastai-2.0.3/fastai/man/faster_rcnn_model.Rd |only fastai-2.0.3/fastai/man/faster_rcnn_predict_dl.Rd |only fastai-2.0.3/fastai/man/faster_rcnn_train_dl.Rd |only fastai-2.0.3/fastai/man/faster_rcnn_valid_dl.Rd |only fastai-2.0.3/fastai/man/fmodule.Rd | 2 fastai-2.0.3/fastai/man/freeze.Rd |only fastai-2.0.3/fastai/man/has_params.Rd |only fastai-2.0.3/fastai/man/hook_output.Rd |only fastai-2.0.3/fastai/man/hook_outputs.Rd |only fastai-2.0.3/fastai/man/icevision.Rd |only fastai-2.0.3/fastai/man/icevision_Adapter.Rd |only fastai-2.0.3/fastai/man/icevision_BasicIAATransform.Rd |only fastai-2.0.3/fastai/man/icevision_BasicTransform.Rd |only fastai-2.0.3/fastai/man/icevision_Blur.Rd |only fastai-2.0.3/fastai/man/icevision_CLAHE.Rd |only fastai-2.0.3/fastai/man/icevision_ChannelDropout.Rd |only fastai-2.0.3/fastai/man/icevision_ChannelShuffle.Rd |only fastai-2.0.3/fastai/man/icevision_ClassMap.Rd |only fastai-2.0.3/fastai/man/icevision_CoarseDropout.Rd |only fastai-2.0.3/fastai/man/icevision_ColorJitter.Rd |only fastai-2.0.3/fastai/man/icevision_Compose.Rd |only fastai-2.0.3/fastai/man/icevision_Crop.Rd |only fastai-2.0.3/fastai/man/icevision_CropNonEmptyMaskIfExists.Rd |only fastai-2.0.3/fastai/man/icevision_Cutout.Rd |only fastai-2.0.3/fastai/man/icevision_Dataset.Rd |only fastai-2.0.3/fastai/man/icevision_Dataset_from_images.Rd |only fastai-2.0.3/fastai/man/icevision_Downscale.Rd |only fastai-2.0.3/fastai/man/icevision_DualIAATransform.Rd |only fastai-2.0.3/fastai/man/icevision_DualTransform.Rd |only fastai-2.0.3/fastai/man/icevision_ElasticTransform.Rd |only fastai-2.0.3/fastai/man/icevision_Equalize.Rd |only fastai-2.0.3/fastai/man/icevision_FDA.Rd |only fastai-2.0.3/fastai/man/icevision_FancyPCA.Rd |only fastai-2.0.3/fastai/man/icevision_FixedSplitter.Rd |only fastai-2.0.3/fastai/man/icevision_Flip.Rd |only fastai-2.0.3/fastai/man/icevision_FromFloat.Rd |only fastai-2.0.3/fastai/man/icevision_GaussNoise.Rd |only fastai-2.0.3/fastai/man/icevision_GaussianBlur.Rd |only fastai-2.0.3/fastai/man/icevision_GlassBlur.Rd |only fastai-2.0.3/fastai/man/icevision_GridDistortion.Rd |only fastai-2.0.3/fastai/man/icevision_GridDropout.Rd |only fastai-2.0.3/fastai/man/icevision_HistogramMatching.Rd |only fastai-2.0.3/fastai/man/icevision_HorizontalFlip.Rd |only fastai-2.0.3/fastai/man/icevision_HueSaturationValue.Rd |only fastai-2.0.3/fastai/man/icevision_IAAAdditiveGaussianNoise.Rd |only fastai-2.0.3/fastai/man/icevision_IAAAffine.Rd |only fastai-2.0.3/fastai/man/icevision_IAACropAndPad.Rd |only fastai-2.0.3/fastai/man/icevision_IAAEmboss.Rd |only fastai-2.0.3/fastai/man/icevision_IAAFliplr.Rd |only fastai-2.0.3/fastai/man/icevision_IAAFlipud.Rd |only fastai-2.0.3/fastai/man/icevision_IAAPerspective.Rd |only fastai-2.0.3/fastai/man/icevision_IAAPiecewiseAffine.Rd |only fastai-2.0.3/fastai/man/icevision_IAASharpen.Rd |only fastai-2.0.3/fastai/man/icevision_IAASuperpixels.Rd |only fastai-2.0.3/fastai/man/icevision_ISONoise.Rd |only fastai-2.0.3/fastai/man/icevision_ImageCompression.Rd |only fastai-2.0.3/fastai/man/icevision_ImageOnlyIAATransform.Rd |only fastai-2.0.3/fastai/man/icevision_ImageOnlyTransform.Rd |only fastai-2.0.3/fastai/man/icevision_InvertImg.Rd |only fastai-2.0.3/fastai/man/icevision_JpegCompression.Rd |only fastai-2.0.3/fastai/man/icevision_LongestMaxSize.Rd |only fastai-2.0.3/fastai/man/icevision_MaskDropout.Rd |only fastai-2.0.3/fastai/man/icevision_MedianBlur.Rd |only fastai-2.0.3/fastai/man/icevision_MotionBlur.Rd |only fastai-2.0.3/fastai/man/icevision_MultiplicativeNoise.Rd |only fastai-2.0.3/fastai/man/icevision_Normalize.Rd |only fastai-2.0.3/fastai/man/icevision_OpticalDistortion.Rd |only fastai-2.0.3/fastai/man/icevision_PadIfNeeded.Rd |only fastai-2.0.3/fastai/man/icevision_Posterize.Rd |only fastai-2.0.3/fastai/man/icevision_RGBShift.Rd |only fastai-2.0.3/fastai/man/icevision_RandomBrightnessContrast.Rd |only fastai-2.0.3/fastai/man/icevision_RandomContrast.Rd |only fastai-2.0.3/fastai/man/icevision_RandomCrop.Rd |only fastai-2.0.3/fastai/man/icevision_RandomCropNearBBox.Rd |only fastai-2.0.3/fastai/man/icevision_RandomFog.Rd |only fastai-2.0.3/fastai/man/icevision_RandomGamma.Rd |only fastai-2.0.3/fastai/man/icevision_RandomGridShuffle.Rd |only fastai-2.0.3/fastai/man/icevision_RandomRain.Rd |only fastai-2.0.3/fastai/man/icevision_RandomResizedCrop.Rd |only fastai-2.0.3/fastai/man/icevision_RandomRotate90.Rd |only fastai-2.0.3/fastai/man/icevision_RandomScale.Rd |only fastai-2.0.3/fastai/man/icevision_RandomShadow.Rd |only fastai-2.0.3/fastai/man/icevision_RandomSizedBBoxSafeCrop.Rd |only fastai-2.0.3/fastai/man/icevision_RandomSizedCrop.Rd |only fastai-2.0.3/fastai/man/icevision_RandomSnow.Rd |only fastai-2.0.3/fastai/man/icevision_RandomSplitter.Rd |only fastai-2.0.3/fastai/man/icevision_RandomSunFlare.Rd |only fastai-2.0.3/fastai/man/icevision_Resize.Rd |only fastai-2.0.3/fastai/man/icevision_Rotate.Rd |only fastai-2.0.3/fastai/man/icevision_ShiftScaleRotate.Rd |only fastai-2.0.3/fastai/man/icevision_SingleSplitSplitter.Rd |only fastai-2.0.3/fastai/man/icevision_SmallestMaxSize.Rd |only fastai-2.0.3/fastai/man/icevision_Solarize.Rd |only fastai-2.0.3/fastai/man/icevision_ToFloat.Rd |only fastai-2.0.3/fastai/man/icevision_ToGray.Rd |only fastai-2.0.3/fastai/man/icevision_ToSepia.Rd |only fastai-2.0.3/fastai/man/icevision_Transpose.Rd |only fastai-2.0.3/fastai/man/icevision_VerticalFlip.Rd |only fastai-2.0.3/fastai/man/icevision_aug_tfms.Rd |only fastai-2.0.3/fastai/man/icevision_parse.Rd |only fastai-2.0.3/fastai/man/icevision_read_bgr_image.Rd |only fastai-2.0.3/fastai/man/icevision_read_rgb_image.Rd |only fastai-2.0.3/fastai/man/icevision_resize_and_pad.Rd |only fastai-2.0.3/fastai/man/icnr_init.Rd | 2 fastai-2.0.3/fastai/man/init_default.Rd | 2 fastai-2.0.3/fastai/man/install_fastai.Rd | 2 fastai-2.0.3/fastai/man/layer_info.Rd |only fastai-2.0.3/fastai/man/mask_rcnn_infer_dl.Rd |only fastai-2.0.3/fastai/man/mask_rcnn_learner.Rd |only fastai-2.0.3/fastai/man/mask_rcnn_model.Rd |only fastai-2.0.3/fastai/man/mask_rcnn_predict_dl.Rd |only fastai-2.0.3/fastai/man/mask_rcnn_train_dl.Rd |only fastai-2.0.3/fastai/man/mask_rcnn_valid_dl.Rd |only fastai-2.0.3/fastai/man/model_sizes.Rd |only fastai-2.0.3/fastai/man/num_features_model.Rd |only fastai-2.0.3/fastai/man/pad_conv_norm_relu.Rd | 2 fastai-2.0.3/fastai/man/parsers_AreasMixin.Rd |only fastai-2.0.3/fastai/man/parsers_BBoxesMixin.Rd |only fastai-2.0.3/fastai/man/parsers_FasterRCNN.Rd |only fastai-2.0.3/fastai/man/parsers_FilepathMixin.Rd |only fastai-2.0.3/fastai/man/parsers_ImageidMixin.Rd |only fastai-2.0.3/fastai/man/parsers_IsCrowdsMixin.Rd |only fastai-2.0.3/fastai/man/parsers_LabelsMixin.Rd |only fastai-2.0.3/fastai/man/parsers_MaskRCNN.Rd |only fastai-2.0.3/fastai/man/parsers_MasksMixin.Rd |only fastai-2.0.3/fastai/man/parsers_SizeMixin.Rd |only fastai-2.0.3/fastai/man/parsers_voc.Rd |only fastai-2.0.3/fastai/man/plot_top_losses.Rd | 2 fastai-2.0.3/fastai/man/show_preds.Rd |only fastai-2.0.3/fastai/man/show_samples.Rd |only fastai-2.0.3/fastai/man/tensor.Rd | 2 fastai-2.0.3/fastai/man/text_classifier_learner.Rd | 2 fastai-2.0.3/fastai/man/total_params.Rd |only fastai-2.0.3/fastai/man/unfreeze.Rd |only fastai-2.0.3/fastai/man/xresnet18_deeper.Rd |only fastai-2.0.3/fastai/man/xresnet34_deeper.Rd |only fastai-2.0.3/fastai/man/xresnet50_deeper.Rd |only fastai-2.0.3/fastai/man/xresnext101.Rd |only fastai-2.0.3/fastai/man/xresnext18.Rd |only fastai-2.0.3/fastai/man/xresnext34.Rd |only fastai-2.0.3/fastai/man/xresnext50.Rd |only fastai-2.0.3/fastai/man/xse_resnet101.Rd |only fastai-2.0.3/fastai/man/xse_resnet152.Rd |only fastai-2.0.3/fastai/man/xse_resnet18.Rd |only fastai-2.0.3/fastai/man/xse_resnet34.Rd |only fastai-2.0.3/fastai/man/xse_resnet50.Rd |only fastai-2.0.3/fastai/man/xse_resnext101.Rd |only fastai-2.0.3/fastai/man/xse_resnext18.Rd |only fastai-2.0.3/fastai/man/xse_resnext18_deep.Rd |only fastai-2.0.3/fastai/man/xse_resnext18_deeper.Rd |only fastai-2.0.3/fastai/man/xse_resnext34.Rd |only fastai-2.0.3/fastai/man/xse_resnext34_deep.Rd |only fastai-2.0.3/fastai/man/xse_resnext34_deeper.Rd |only fastai-2.0.3/fastai/man/xse_resnext50.Rd |only fastai-2.0.3/fastai/man/xse_resnext50_deep.Rd |only fastai-2.0.3/fastai/man/xse_resnext50_deeper.Rd |only fastai-2.0.3/fastai/man/xsenet154.Rd |only fastai-2.0.3/fastai/tests/testthat/test-model_load.R |only fastai-2.0.3/fastai/vignettes/audio.Rmd | 8 300 files changed, 2569 insertions(+), 1441 deletions(-)
Title: Imagine Your Data Before You Collect It
Description: Helps you imagine your data before you collect it. Hierarchical data structures
and correlated data can be easily simulated, either from random number generators or
by resampling from existing data sources. This package is faster with 'data.table' and
'mvnfast' installed.
Author: Graeme Blair [aut, cre],
Jasper Cooper [aut],
Alexander Coppock [aut],
Macartan Humphreys [aut],
Aaron Rudkin [aut],
Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>
Diff between fabricatr versions 0.10.0 dated 2019-09-04 and 0.12.0 dated 2021-01-09
DESCRIPTION | 12 ++--- MD5 | 39 ++++++++++------- NAMESPACE | 9 +++ NEWS.md | 6 ++ R/aaa_fabricate.R | 2 R/add_level.R | 31 +++++++++++-- R/draw_multivariate.R |only R/fabricatr.R | 1 R/helper_functions.R | 35 ++++----------- R/potential_outcomes.R |only R/reveal_outcomes.R |only man/ALL.Rd | 4 + man/draw_discrete.Rd | 70 +++++++++++++++++++++++-------- man/draw_multivariate.Rd |only man/draw_normal_icc.Rd | 11 +++- man/fabricate.Rd | 4 - man/fabricatr.Rd | 1 man/potential_outcomes.Rd |only man/reveal_outcomes.Rd |only tests/testthat/test-hierarchical.R | 8 +++ tests/testthat/test-misc.R | 35 ++++++++++++++- tests/testthat/test-multivariate.R |only tests/testthat/test-potential-outcomes.R |only tests/testthat/test-resampling.R | 2 tests/testthat/test-reveal-outcomes.R |only 25 files changed, 191 insertions(+), 79 deletions(-)
Title: A Collection of R Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive, with millions of observations, data) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872-2>.
Author: Michail Tsagris, Giorgos Athineou, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Diff between Directional versions 4.5 dated 2020-11-30 and 4.6 dated 2021-01-09
Directional-4.5/Directional/R/ESAG.da.R |only Directional-4.5/Directional/R/ESAGda.pred.R |only Directional-4.5/Directional/R/ESAGdensity.R |only Directional-4.5/Directional/R/ESAGmle.R |only Directional-4.5/Directional/R/ESAGsim.R |only Directional-4.5/Directional/R/acg.R |only Directional-4.5/Directional/R/circpurka.density.R |only Directional-4.5/Directional/R/ggvm.R |only Directional-4.5/Directional/R/iag.density.R |only Directional-4.5/Directional/R/kent.density.R |only Directional-4.5/Directional/R/mix.vmf.R |only Directional-4.5/Directional/R/multivmf.R |only Directional-4.5/Directional/R/purka.density.R |only Directional-4.5/Directional/R/spml.density.R |only Directional-4.5/Directional/R/vm.density.R |only Directional-4.5/Directional/R/vmf.R |only Directional-4.5/Directional/R/vmf.density.R |only Directional-4.5/Directional/R/wrapcauchy.R |only Directional-4.5/Directional/R/wrapcauchy.density.R |only Directional-4.5/Directional/man/ESAG.da.Rd |only Directional-4.5/Directional/man/ESAGda.pred.Rd |only Directional-4.5/Directional/man/ESAGmle.Rd |only Directional-4.5/Directional/man/ESAGsim.Rd |only Directional-4.5/Directional/man/ggvm.Rd |only Directional-4.5/Directional/man/kent.density.Rd |only Directional-4.5/Directional/man/mix.vmf.Rd |only Directional-4.5/Directional/man/vm.density.Rd |only Directional-4.5/Directional/man/vmf.density.Rd |only Directional-4.6/Directional/DESCRIPTION | 12 - Directional-4.6/Directional/MD5 | 166 ++++++++--------- Directional-4.6/Directional/R/acg.mle.R |only Directional-4.6/Directional/R/bic.mixvmf.R | 4 Directional-4.6/Directional/R/circbeta.mle.R |only Directional-4.6/Directional/R/dcircbeta.R |only Directional-4.6/Directional/R/dcircpurka.R |only Directional-4.6/Directional/R/desag.R |only Directional-4.6/Directional/R/dggvm.R |only Directional-4.6/Directional/R/dirda.cv.R | 6 Directional-4.6/Directional/R/dkent.R |only Directional-4.6/Directional/R/dpurka.R |only Directional-4.6/Directional/R/dspml.R |only Directional-4.6/Directional/R/dvm.R |only Directional-4.6/Directional/R/dvmf.R |only Directional-4.6/Directional/R/dwrapcauchy.R |only Directional-4.6/Directional/R/embedcirc.boot.R | 6 Directional-4.6/Directional/R/embedcirc.perm.R | 6 Directional-4.6/Directional/R/esag.da.R |only Directional-4.6/Directional/R/esag.mle.R |only Directional-4.6/Directional/R/esagda.pred.R |only Directional-4.6/Directional/R/fishkent.R | 4 Directional-4.6/Directional/R/ggvm.mle.R |only Directional-4.6/Directional/R/hcf.aov.R | 2 Directional-4.6/Directional/R/hcf.boot.R | 4 Directional-4.6/Directional/R/hcfcirc.boot.R | 6 Directional-4.6/Directional/R/hcfcirc.perm.R | 6 Directional-4.6/Directional/R/het.aov.R | 2 Directional-4.6/Directional/R/het.boot.R | 8 Directional-4.6/Directional/R/het.perm.R | 8 Directional-4.6/Directional/R/hetcirc.boot.R | 6 Directional-4.6/Directional/R/hetcirc.perm.R | 5 Directional-4.6/Directional/R/iagd.R |only Directional-4.6/Directional/R/iagesag.R | 4 Directional-4.6/Directional/R/lrcirc.boot.R | 5 Directional-4.6/Directional/R/lrcirc.perm.R | 5 Directional-4.6/Directional/R/meandir.test.R | 4 Directional-4.6/Directional/R/mixvmf.mle.R |only Directional-4.6/Directional/R/multivmf.mle.R |only Directional-4.6/Directional/R/rcircbeta.R |only Directional-4.6/Directional/R/resag.R |only Directional-4.6/Directional/R/vmf.kde.R | 2 Directional-4.6/Directional/R/vmf.kerncontour.R | 2 Directional-4.6/Directional/R/vmf.mle.R |only Directional-4.6/Directional/R/wrapcauchy.mle.R |only Directional-4.6/Directional/man/Directional-package.Rd | 6 Directional-4.6/Directional/man/bic.mixvmf.Rd | 2 Directional-4.6/Directional/man/circ.summary.Rd | 2 Directional-4.6/Directional/man/colspml.mle.Rd | 2 Directional-4.6/Directional/man/dirda.cv.Rd | 2 Directional-4.6/Directional/man/dirknn.Rd | 2 Directional-4.6/Directional/man/dirknn.tune.Rd | 2 Directional-4.6/Directional/man/dkent.Rd |only Directional-4.6/Directional/man/dvm.Rd |only Directional-4.6/Directional/man/dvmf.Rd |only Directional-4.6/Directional/man/esag.da.Rd |only Directional-4.6/Directional/man/esag.mle.Rd |only Directional-4.6/Directional/man/esagda.pred.Rd |only Directional-4.6/Directional/man/fishkent.Rd | 6 Directional-4.6/Directional/man/ggvm.mle.Rd |only Directional-4.6/Directional/man/iag.reg.Rd | 2 Directional-4.6/Directional/man/iagesag.Rd | 2 Directional-4.6/Directional/man/kent.mle.Rd | 6 Directional-4.6/Directional/man/kuiper.Rd | 6 Directional-4.6/Directional/man/lambert.inv.Rd | 2 Directional-4.6/Directional/man/meandir.test.Rd | 6 Directional-4.6/Directional/man/mediandir.Rd | 2 Directional-4.6/Directional/man/mixvmf.contour.Rd | 4 Directional-4.6/Directional/man/mixvmf.mle.Rd |only Directional-4.6/Directional/man/racg.Rd | 11 - Directional-4.6/Directional/man/rayleigh.Rd | 2 Directional-4.6/Directional/man/read.fbm.Rd | 4 Directional-4.6/Directional/man/resag.Rd |only Directional-4.6/Directional/man/rfb.Rd | 6 Directional-4.6/Directional/man/rmixvmf.Rd | 2 Directional-4.6/Directional/man/rvmf.Rd | 4 Directional-4.6/Directional/man/rvonmises.Rd | 8 Directional-4.6/Directional/man/spher.cor.Rd | 2 Directional-4.6/Directional/man/spml.mle.Rd | 17 - Directional-4.6/Directional/man/spml.regs.Rd | 5 Directional-4.6/Directional/man/vmf.Rd | 18 - Directional-4.6/Directional/man/vmf.contour.Rd | 8 Directional-4.6/Directional/man/vmf.da.Rd | 4 Directional-4.6/Directional/man/vmf.kde.Rd | 2 Directional-4.6/Directional/man/vmfda.pred.Rd | 4 Directional-4.6/Directional/man/wood.mle.Rd | 6 114 files changed, 232 insertions(+), 198 deletions(-)
Title: Statistical Inference and Sure Independence Screening via Ball
Statistics
Description: Hypothesis tests and sure independence screening (SIS) procedure based on ball statistics, including ball divergence <doi:10.1214/17-AOS1579>, ball covariance <doi:10.1080/01621459.2018.1543600>, and ball correlation <doi:10.1080/01621459.2018.1462709>, are developed to analyze complex data in metric spaces, e.g, shape, directional, compositional and symmetric positive definite matrix data. The ball divergence and ball covariance based distribution-free tests are implemented to detecting distribution difference and association in metric spaces <arXiv:1811.03750>. Furthermore, several generic non-parametric feature selection procedures based on ball correlation, BCor-SIS and all of its variants, are implemented to tackle the challenge in the context of ultra high dimensional data.
Author: Xueqin Wang, Wenliang Pan, Heping Zhang, Hongtu Zhu, Yuan Tian, Weinan Xiao, Chengfeng Liu, Ruihuang Liu, Jin Zhu
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>
Diff between Ball versions 1.3.9 dated 2019-12-17 and 1.3.10 dated 2021-01-09
Ball-1.3.10/Ball/DESCRIPTION | 10 Ball-1.3.10/Ball/MD5 | 51 ++--- Ball-1.3.10/Ball/NEWS.md | 4 Ball-1.3.10/Ball/R/bcorsis.R | 10 Ball-1.3.10/Ball/R/bcov.R | 9 Ball-1.3.10/Ball/R/bd.R | 4 Ball-1.3.10/Ball/R/nhdist.R | 27 ++ Ball-1.3.10/Ball/R/utilize.R | 4 Ball-1.3.10/Ball/README.md | 119 ++++++----- Ball-1.3.10/Ball/build/vignette.rds |binary Ball-1.3.10/Ball/inst/doc/Ball.R | 50 ++-- Ball-1.3.10/Ball/inst/doc/Ball.html | 252 +++++++++++++------------ Ball-1.3.10/Ball/man/ArcticLake.Rd | 6 Ball-1.3.10/Ball/man/bcorsis.Rd | 15 + Ball-1.3.10/Ball/man/bcov.test.Rd | 14 + Ball-1.3.10/Ball/man/bd.Rd | 10 Ball-1.3.10/Ball/man/bd.test.Rd | 17 + Ball-1.3.10/Ball/man/bdvmf.Rd | 6 Ball-1.3.10/Ball/man/genlung.Rd | 6 Ball-1.3.10/Ball/man/macaques.Rd | 6 Ball-1.3.10/Ball/man/meteorology.Rd | 6 Ball-1.3.10/Ball/src/BD.c | 22 +- Ball-1.3.10/Ball/src/kbcov.c | 24 ++ Ball-1.3.10/Ball/src/kbd.c | 30 ++ Ball-1.3.10/Ball/src/utilities.c | 47 ++-- Ball-1.3.10/Ball/tests/testthat/test_bcorsis.R | 45 ++++ Ball-1.3.9/Ball/data/datalist |only 27 files changed, 498 insertions(+), 296 deletions(-)
Title: Functions for Benchmarking Time Series Prediction
Description: Functions for time series preprocessing(postprocessing), decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Author: Rebecca Pontes Salles [aut, cre, cph] (CEFET/RJ),
Eduardo Ogasawara [ths] (CEFET/RJ)
Maintainer: Rebecca Pontes Salles <rebeccapsalles@acm.org>
Diff between TSPred versions 4.0 dated 2018-06-21 and 5.0 dated 2021-01-09
TSPred-4.0/TSPred/R/SSMpolynomial.r |only TSPred-4.0/TSPred/R/TSPred-internal.R |only TSPred-4.0/TSPred/man/DIF.Rd |only TSPred-4.0/TSPred/man/MAS.Rd |only TSPred-4.0/TSPred/man/PCT.Rd |only TSPred-4.0/TSPred/man/TSPred-internal.Rd |only TSPred-4.0/TSPred/man/arimapar.Rd |only TSPred-4.0/TSPred/man/slidingWindows.Rd |only TSPred-5.0/TSPred/DESCRIPTION | 19 - TSPred-5.0/TSPred/MD5 | 266 +++++++++----- TSPred-5.0/TSPred/NAMESPACE | 167 ++++++++- TSPred-5.0/TSPred/R/BCT.r | 38 ++ TSPred-5.0/TSPred/R/CATS.cont.r |only TSPred-5.0/TSPred/R/CATS.r |only TSPred-5.0/TSPred/R/DIF.r | 66 +++ TSPred-5.0/TSPred/R/EUNITE.Loads.cont.r |only TSPred-5.0/TSPred/R/EUNITE.Loads.r |only TSPred-5.0/TSPred/R/EUNITE.Reg.cont.r |only TSPred-5.0/TSPred/R/EUNITE.Reg.r |only TSPred-5.0/TSPred/R/EUNITE.Temp.cont.r |only TSPred-5.0/TSPred/R/EUNITE.Temp.r |only TSPred-5.0/TSPred/R/LT.r | 33 + TSPred-5.0/TSPred/R/MAPE.R | 23 + TSPred-5.0/TSPred/R/MAS.r | 72 +++ TSPred-5.0/TSPred/R/MAXError.R | 21 + TSPred-5.0/TSPred/R/MSE.r | 25 + TSPred-5.0/TSPred/R/NMSE.r | 28 + TSPred-5.0/TSPred/R/NN3.A.cont.r |only TSPred-5.0/TSPred/R/NN3.A.r |only TSPred-5.0/TSPred/R/NN5.A.cont.r |only TSPred-5.0/TSPred/R/NN5.A.r |only TSPred-5.0/TSPred/R/PCT.r | 63 +++ TSPred-5.0/TSPred/R/SantaFe.A.cont.r |only TSPred-5.0/TSPred/R/SantaFe.A.r |only TSPred-5.0/TSPred/R/SantaFe.D.cont.r |only TSPred-5.0/TSPred/R/SantaFe.D.r |only TSPred-5.0/TSPred/R/TSPred-deprecated.R |only TSPred-5.0/TSPred/R/TSPred-package.R |only TSPred-5.0/TSPred/R/WT.r |only TSPred-5.0/TSPred/R/an.r |only TSPred-5.0/TSPred/R/arimainterp.R | 73 +++- TSPred-5.0/TSPred/R/arimapar.R | 50 ++ TSPred-5.0/TSPred/R/arimaparameters.R | 37 +- TSPred-5.0/TSPred/R/arimapred.R | 72 +++ TSPred-5.0/TSPred/R/data.frame.na.R | 5 TSPred-5.0/TSPred/R/detrend.r | 32 + TSPred-5.0/TSPred/R/diff.r |only TSPred-5.0/TSPred/R/emd.r |only TSPred-5.0/TSPred/R/evaluating.r |only TSPred-5.0/TSPred/R/evaluating_subclasses.r |only TSPred-5.0/TSPred/R/fittestArima.r | 94 +++++ TSPred-5.0/TSPred/R/fittestArimaKF.r | 253 ++++++++++---- TSPred-5.0/TSPred/R/fittestEMD.r | 310 +++++++++++------ TSPred-5.0/TSPred/R/fittestLM.r | 94 +++++ TSPred-5.0/TSPred/R/fittestMAS.r | 143 +++++++ TSPred-5.0/TSPred/R/fittestPolyR.r | 152 +++++++- TSPred-5.0/TSPred/R/fittestPolyRKF.r | 206 ++++++++++- TSPred-5.0/TSPred/R/fittestWavelet.r | 186 +++++++++- TSPred-5.0/TSPred/R/ipeadata_d.r |only TSPred-5.0/TSPred/R/ipeadata_m.r |only TSPred-5.0/TSPred/R/marimapar.R | 28 + TSPred-5.0/TSPred/R/marimapred.R | 78 ++++ TSPred-5.0/TSPred/R/methods_generics.r |only TSPred-5.0/TSPred/R/minmax.r |only TSPred-5.0/TSPred/R/mlm_io.r |only TSPred-5.0/TSPred/R/modeling.r |only TSPred-5.0/TSPred/R/modeling_subclasses.r |only TSPred-5.0/TSPred/R/outlier_bp.r |only TSPred-5.0/TSPred/R/pipe.r |only TSPred-5.0/TSPred/R/plotarimapred.R | 60 +++ TSPred-5.0/TSPred/R/processing.r |only TSPred-5.0/TSPred/R/processing_subclasses.r |only TSPred-5.0/TSPred/R/result.r |only TSPred-5.0/TSPred/R/sMAPE.R | 27 + TSPred-5.0/TSPred/R/slidingWindows.r | 39 ++ TSPred-5.0/TSPred/R/subset.r |only TSPred-5.0/TSPred/R/sw.r |only TSPred-5.0/TSPred/R/tspred.r |only TSPred-5.0/TSPred/data/CATS.cont.rda |binary TSPred-5.0/TSPred/data/CATS.rda |binary TSPred-5.0/TSPred/data/EUNITE.Loads.cont.rda |binary TSPred-5.0/TSPred/data/EUNITE.Loads.rda |binary TSPred-5.0/TSPred/data/EUNITE.Reg.cont.rda |binary TSPred-5.0/TSPred/data/EUNITE.Reg.rda |binary TSPred-5.0/TSPred/data/EUNITE.Temp.cont.rda |binary TSPred-5.0/TSPred/data/EUNITE.Temp.rda |binary TSPred-5.0/TSPred/data/NN3.A.cont.rda |binary TSPred-5.0/TSPred/data/NN3.A.rda |binary TSPred-5.0/TSPred/data/NN5.A.cont.rda |binary TSPred-5.0/TSPred/data/NN5.A.rda |binary TSPred-5.0/TSPred/data/SantaFe.A.cont.rda |binary TSPred-5.0/TSPred/data/SantaFe.A.rda |binary TSPred-5.0/TSPred/data/SantaFe.D.cont.rda |binary TSPred-5.0/TSPred/data/SantaFe.D.rda |binary TSPred-5.0/TSPred/data/ipeadata_d.cont.rda |binary TSPred-5.0/TSPred/data/ipeadata_d.rda |binary TSPred-5.0/TSPred/data/ipeadata_m.cont.rda |binary TSPred-5.0/TSPred/data/ipeadata_m.rda |binary TSPred-5.0/TSPred/man/ARIMA.Rd |only TSPred-5.0/TSPred/man/BCT.Rd | 108 +++-- TSPred-5.0/TSPred/man/CATS.Rd | 103 +++-- TSPred-5.0/TSPred/man/CATS.cont.Rd | 95 ++--- TSPred-5.0/TSPred/man/DIF-deprecated.Rd |only TSPred-5.0/TSPred/man/Diff.Rd |only TSPred-5.0/TSPred/man/EUNITE.Loads.Rd | 207 ++++++----- TSPred-5.0/TSPred/man/EUNITE.Loads.cont.Rd | 229 ++++++++---- TSPred-5.0/TSPred/man/EUNITE.Reg.Rd | 98 +++-- TSPred-5.0/TSPred/man/EUNITE.Reg.cont.Rd | 90 ++-- TSPred-5.0/TSPred/man/EUNITE.Temp.Rd | 93 ++--- TSPred-5.0/TSPred/man/EUNITE.Temp.cont.Rd | 88 ++-- TSPred-5.0/TSPred/man/LT.Rd | 230 ++++++++++-- TSPred-5.0/TSPred/man/LogT.Rd |only TSPred-5.0/TSPred/man/MAPE.Rd | 102 ++--- TSPred-5.0/TSPred/man/MAXError.Rd | 98 ++--- TSPred-5.0/TSPred/man/MSE.Rd | 162 +++++--- TSPred-5.0/TSPred/man/MSE_eval.Rd |only TSPred-5.0/TSPred/man/NMSE.Rd | 108 ++--- TSPred-5.0/TSPred/man/NN3.A.Rd | 347 +++++++++++-------- TSPred-5.0/TSPred/man/NN3.A.cont.Rd | 379 ++++++++++++--------- TSPred-5.0/TSPred/man/NN5.A.Rd | 350 +++++++++++-------- TSPred-5.0/TSPred/man/NN5.A.cont.Rd | 378 ++++++++++++-------- TSPred-5.0/TSPred/man/SantaFe.A.Rd | 84 ++-- TSPred-5.0/TSPred/man/SantaFe.A.cont.Rd | 83 ++-- TSPred-5.0/TSPred/man/SantaFe.D.Rd | 84 ++-- TSPred-5.0/TSPred/man/SantaFe.D.cont.Rd | 83 ++-- TSPred-5.0/TSPred/man/TSPred-deprecated.Rd | 79 +--- TSPred-5.0/TSPred/man/TSPred-package.Rd | 218 ------------ TSPred-5.0/TSPred/man/WaveletT.Rd |only TSPred-5.0/TSPred/man/an.Rd |only TSPred-5.0/TSPred/man/arimainterp.Rd | 171 +++++---- TSPred-5.0/TSPred/man/arimapar-deprecated.Rd |only TSPred-5.0/TSPred/man/arimaparameters.Rd | 96 ++--- TSPred-5.0/TSPred/man/arimapred.Rd | 233 ++++++------ TSPred-5.0/TSPred/man/benchmark.Rd |only TSPred-5.0/TSPred/man/data.frame.na.Rd |only TSPred-5.0/TSPred/man/detrend.Rd | 97 ++--- TSPred-5.0/TSPred/man/emd.Rd |only TSPred-5.0/TSPred/man/evaluate.Rd |only TSPred-5.0/TSPred/man/evaluate.tspred.Rd |only TSPred-5.0/TSPred/man/evaluating.Rd |only TSPred-5.0/TSPred/man/fittestArima.Rd | 222 ++++++------ TSPred-5.0/TSPred/man/fittestArimaKF.Rd | 302 ++++++++++------ TSPred-5.0/TSPred/man/fittestEMD.Rd | 254 ++++++++------ TSPred-5.0/TSPred/man/fittestLM.Rd | 252 ++++++++----- TSPred-5.0/TSPred/man/fittestMAS.Rd | 287 +++++++++------ TSPred-5.0/TSPred/man/fittestPolyR.Rd | 283 +++++++++------ TSPred-5.0/TSPred/man/fittestPolyRKF.Rd | 332 +++++++++++------- TSPred-5.0/TSPred/man/fittestWavelet.Rd | 330 +++++++++++------- TSPred-5.0/TSPred/man/ipeadata_d.Rd | 125 +++--- TSPred-5.0/TSPred/man/ipeadata_m.Rd | 151 ++++---- TSPred-5.0/TSPred/man/marimapar.Rd | 112 ++---- TSPred-5.0/TSPred/man/marimapred.Rd | 249 ++++++------- TSPred-5.0/TSPred/man/mas.Rd |only TSPred-5.0/TSPred/man/minmax.Rd |only TSPred-5.0/TSPred/man/mlm_io.Rd |only TSPred-5.0/TSPred/man/modeling.Rd |only TSPred-5.0/TSPred/man/outliers_bp.Rd |only TSPred-5.0/TSPred/man/pct.Rd |only TSPred-5.0/TSPred/man/plotarimapred.Rd | 180 ++++----- TSPred-5.0/TSPred/man/postprocess.tspred.Rd |only TSPred-5.0/TSPred/man/predict.Rd |only TSPred-5.0/TSPred/man/predict.tspred.Rd |only TSPred-5.0/TSPred/man/preprocess.Rd |only TSPred-5.0/TSPred/man/preprocess.tspred.Rd |only TSPred-5.0/TSPred/man/processing.Rd |only TSPred-5.0/TSPred/man/reexports.Rd |only TSPred-5.0/TSPred/man/sMAPE.Rd | 105 ++--- TSPred-5.0/TSPred/man/slidingWindows-deprecated.Rd |only TSPred-5.0/TSPred/man/subset.Rd |only TSPred-5.0/TSPred/man/sw.Rd |only TSPred-5.0/TSPred/man/train.Rd |only TSPred-5.0/TSPred/man/train.tspred.Rd |only TSPred-5.0/TSPred/man/train_test_subset.Rd |only TSPred-5.0/TSPred/man/tspred.Rd |only TSPred-5.0/TSPred/man/workflow.Rd |only 175 files changed, 6655 insertions(+), 3782 deletions(-)
Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create
and manage project-local R libraries, save the state of these libraries to
a 'lockfile', and later restore your library as required. Together, these
tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre],
RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>
Diff between renv versions 0.12.4 dated 2021-01-07 and 0.12.5 dated 2021-01-09
DESCRIPTION | 6 - MD5 | 26 +++---- NEWS.md | 4 + R/available-packages.R | 109 +++++++++++++++++++++++++------ R/bootstrap.R | 22 ++++-- R/cli.R | 13 +++ R/files.R | 6 + R/load.R | 2 R/snapshot.R | 2 inst/doc/docker.html | 2 inst/doc/renv.html | 6 - inst/resources/activate.R | 22 ++++-- tests/testthat/test-available-packages.R | 1 tests/testthat/test-bootstrap.R | 73 ++++++++++++++++++++ 14 files changed, 244 insertions(+), 50 deletions(-)
Title: Methods for Graphical Models and Causal Inference
Description: Functions for causal structure
learning and causal inference using graphical models. The main algorithms
for causal structure learning are PC (for observational data without hidden
variables), FCI and RFCI (for observational data with hidden variables),
and GIES (for a mix of data from observational studies
(i.e. observational data) and data from experiments
involving interventions (i.e. interventional data) without hidden
variables). For causal inference the IDA algorithm, the Generalized
Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC)
and some related functions are implemented. Functions for incorporating
background knowledge are provided.
Author: Markus Kalisch [aut, cre],
Alain Hauser [aut],
Martin Maechler [aut],
Diego Colombo [ctb],
Doris Entner [ctb],
Patrik Hoyer [ctb],
Antti Hyttinen [ctb],
Jonas Peters [ctb],
Nicoletta Andri [ctb],
Emilija Perkovic [ctb],
Preetam Nandy [ctb],
Philipp Ruetimann [ctb],
Daniel Stekhoven [ctb],
Manuel Schuerch [ctb],
Marco Eigenmann [ctb],
Leonard Henckel [ctb],
Joris Mooij [ctb]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>
Diff between pcalg versions 2.7-0 dated 2020-11-17 and 2.7-1 dated 2021-01-09
pcalg-2.7-0/pcalg/tests/nohup.out |only pcalg-2.7-1/pcalg/DESCRIPTION | 8 ++++---- pcalg-2.7-1/pcalg/MD5 | 21 ++++++++++----------- pcalg-2.7-1/pcalg/inst/doc/pcalgDoc.pdf |binary pcalg-2.7-1/pcalg/inst/doc/vignette2018.pdf |binary pcalg-2.7-1/pcalg/man/adjustment.Rd | 6 +++--- pcalg-2.7-1/pcalg/man/pcalg2dagitty.Rd | 2 +- pcalg-2.7-1/pcalg/tests/test_adjustment.R | 5 ++++- pcalg-2.7-1/pcalg/tests/test_ida.R | 4 +++- pcalg-2.7-1/pcalg/tests/test_pag2anc.R | 4 +++- pcalg-2.7-1/pcalg/tests/test_pag2conf.R | 4 +++- pcalg-2.7-1/pcalg/tests/test_pag2edge.R | 4 +++- 12 files changed, 34 insertions(+), 24 deletions(-)
Title: Infer Community Assembly Mechanisms by Phylogenetic-Bin-Based
Null Model Analysis
Description: To implement a general framework to quantitatively infer Community Assembly Mechanisms by Phylogenetic-bin-based null model analysis, abbreviated as 'iCAMP' (Ning et al 2020) <doi:10.1038/s41467-020-18560-z>. It can quantitatively assess the relative importance of different community assembly processes, such as selection, dispersal, and drift, for both communities and each phylogenetic group ('bin'). Each bin usually consists of different taxa from a family or an order. The package also provides functions to implement some other published methods, including neutral taxa percentage (Burns et al 2016) <doi:10.1038/ismej.2015.142> based on neutral theory model (Sloan et al 2006) <doi:10.1111/j.1462-2920.2005.00956.x> and quantifying assembly processes based on entire-community null models ('QPEN', Stegen et al 2013) <doi:10.1038/ismej.2013.93>. It also includes some handy functions, particularly for big datasets, such as phylogenetic and taxonomic null model analysis at both community and bin levels, between-taxa niche difference and phylogenetic distance calculation, phylogenetic signal test within phylogenetic groups, midpoint root of big trees, etc. Version 1.3.x mainly improved the function for 'QPEN' and added function 'icamp.cate()' to summarize 'iCAMP' results for different categories of taxa (e.g. core versus rare taxa).
Author: Daliang Ning
Maintainer: Daliang Ning <ningdaliang@ou.edu>
Diff between iCAMP versions 1.2.9 dated 2020-09-19 and 1.3.4 dated 2021-01-09
DESCRIPTION | 10 +++++----- MD5 | 36 +++++++++++++++++++++--------------- R/bNTI.big.r |only R/bmntd.big.r |only R/bmntd.r | 4 ++-- R/bmpd.r | 6 +++--- R/icamp.big.r | 9 +++++++-- R/icamp.bins.r | 3 ++- R/icamp.boot.r | 16 ++++++++++++---- R/icamp.cate.r |only R/mpdn.r | 4 ++-- R/qpen.r | 32 +++++++++++++++----------------- data/example.data.rda |binary data/icamp.out.rda |binary man/bNTI.big.Rd |only man/bmntd.big.Rd |only man/iCAMP-package.Rd | 10 ++++++++-- man/icamp.big.Rd | 2 ++ man/icamp.bins.Rd | 1 + man/icamp.boot.Rd | 1 + man/icamp.cate.Rd |only man/qpen.Rd | 5 +++-- 22 files changed, 84 insertions(+), 55 deletions(-)
Title: Tools for Highfrequency Data Analysis
Description: Provide functionality to manage, clean and match highfrequency
trades and quotes data, calculate various liquidity measures, estimate and
forecast volatility, detect price jumps and investigate microstructure noise and intraday
periodicity.
Author: Kris Boudt [aut, cre] (<https://orcid.org/0000-0002-1000-5142>),
Jonathan Cornelissen [aut],
Scott Payseur [aut],
Giang Nguyen [ctb],
Onno Kleen [aut] (<https://orcid.org/0000-0003-4731-4640>),
Emil Sjoerup [aut]
Maintainer: Kris Boudt <kris.boudt@ugent.be>
Diff between highfrequency versions 0.7.0.1 dated 2020-09-28 and 0.8.0 dated 2021-01-09
highfrequency-0.7.0.1/highfrequency/R/data_handling.R |only highfrequency-0.7.0.1/highfrequency/R/har_model.R |only highfrequency-0.7.0.1/highfrequency/R/heavy_model.R |only highfrequency-0.7.0.1/highfrequency/R/internal_data_handling.R |only highfrequency-0.7.0.1/highfrequency/R/internal_jump_tests.R |only highfrequency-0.7.0.1/highfrequency/R/internal_preavering_estimators.R |only highfrequency-0.7.0.1/highfrequency/R/internal_realized_measures.R |only highfrequency-0.7.0.1/highfrequency/R/internal_spot_vol_and_drift.R |only highfrequency-0.7.0.1/highfrequency/R/jump_tests.R |only highfrequency-0.7.0.1/highfrequency/R/liquidity_measures.R |only highfrequency-0.7.0.1/highfrequency/R/realized_measures.R |only highfrequency-0.7.0.1/highfrequency/R/realized_measures_inference.R |only highfrequency-0.7.0.1/highfrequency/R/spot_vol_and_drift.R |only highfrequency-0.7.0.1/highfrequency/data/SP500RM.rda |only highfrequency-0.7.0.1/highfrequency/data/lltc.RData |only highfrequency-0.7.0.1/highfrequency/data/realizedLibrary.rda |only highfrequency-0.7.0.1/highfrequency/data/sample5MinPrices.rda |only highfrequency-0.7.0.1/highfrequency/data/sample5MinPricesJumps.rda |only highfrequency-0.7.0.1/highfrequency/data/sampleQDataMicroseconds.rda |only highfrequency-0.7.0.1/highfrequency/data/sampleQDataRawMicroseconds.rda |only highfrequency-0.7.0.1/highfrequency/data/sampleReal5MinPrices.rda |only highfrequency-0.7.0.1/highfrequency/data/sampleReturns5Min.rda |only highfrequency-0.7.0.1/highfrequency/data/sampleTDataMicroseconds.rda |only highfrequency-0.7.0.1/highfrequency/data/sampleTDataRawMicroseconds.rda |only highfrequency-0.7.0.1/highfrequency/data/sbux.RData |only highfrequency-0.7.0.1/highfrequency/man/MRC.Rd |only highfrequency-0.7.0.1/highfrequency/man/RTQ.Rd |only highfrequency-0.7.0.1/highfrequency/man/SP500RM.Rd |only highfrequency-0.7.0.1/highfrequency/man/TSCov_bi.Rd |only highfrequency-0.7.0.1/highfrequency/man/getPrice.Rd |only highfrequency-0.7.0.1/highfrequency/man/hasQty.Rd |only highfrequency-0.7.0.1/highfrequency/man/ivInference.Rd |only highfrequency-0.7.0.1/highfrequency/man/lltc.Rd |only highfrequency-0.7.0.1/highfrequency/man/medRQ.Rd |only highfrequency-0.7.0.1/highfrequency/man/medRV.Rd |only highfrequency-0.7.0.1/highfrequency/man/minRQ.Rd |only highfrequency-0.7.0.1/highfrequency/man/minRV.Rd |only highfrequency-0.7.0.1/highfrequency/man/rTPVar.Rd |only highfrequency-0.7.0.1/highfrequency/man/realizedLibrary.Rd |only highfrequency-0.7.0.1/highfrequency/man/rmTradeOutliers.Rd |only highfrequency-0.7.0.1/highfrequency/man/sample5MinPrices.Rd |only highfrequency-0.7.0.1/highfrequency/man/sample5MinPricesJumps.Rd |only highfrequency-0.7.0.1/highfrequency/man/sampleQDataMicroseconds.Rd |only highfrequency-0.7.0.1/highfrequency/man/sampleQDataRawMicroseconds.Rd |only highfrequency-0.7.0.1/highfrequency/man/sampleReal5MinPrices.Rd |only highfrequency-0.7.0.1/highfrequency/man/sampleReturns5Min.Rd |only highfrequency-0.7.0.1/highfrequency/man/sampleTDataMicroseconds.Rd |only highfrequency-0.7.0.1/highfrequency/man/sampleTDataRawMicroseconds.Rd |only highfrequency-0.7.0.1/highfrequency/man/sbux.Rd |only highfrequency-0.7.0.1/highfrequency/src/business_time_sampling.cpp |only highfrequency-0.7.0.1/highfrequency/src/har_model.cpp |only highfrequency-0.7.0.1/highfrequency/src/heavy_model.cpp |only highfrequency-0.7.0.1/highfrequency/src/realized_measures.cpp |only highfrequency-0.8.0/highfrequency/DESCRIPTION | 13 highfrequency-0.8.0/highfrequency/MD5 | 293 ++--- highfrequency-0.8.0/highfrequency/NAMESPACE | 59 - highfrequency-0.8.0/highfrequency/NEWS.md | 28 highfrequency-0.8.0/highfrequency/R/HARmodel.R |only highfrequency-0.8.0/highfrequency/R/HEAVYmodel.R |only highfrequency-0.8.0/highfrequency/R/RcppExports.R | 44 highfrequency-0.8.0/highfrequency/R/data.R | 235 ---- highfrequency-0.8.0/highfrequency/R/dataHandling.R |only highfrequency-0.8.0/highfrequency/R/driftBursts.R |only highfrequency-0.8.0/highfrequency/R/getDataFromAlphaVantage.R | 35 highfrequency-0.8.0/highfrequency/R/highfrequency.R | 27 highfrequency-0.8.0/highfrequency/R/internal.R | 167 ++- highfrequency-0.8.0/highfrequency/R/internalDataHandling.R |only highfrequency-0.8.0/highfrequency/R/internalHEAVY.R |only highfrequency-0.8.0/highfrequency/R/internalJumpTests.R |only highfrequency-0.8.0/highfrequency/R/internalPreaveringEstimators.R |only highfrequency-0.8.0/highfrequency/R/internalRealizedMeasures.R |only highfrequency-0.8.0/highfrequency/R/internalSpotVolAndDrift.R |only highfrequency-0.8.0/highfrequency/R/jumpTests.R |only highfrequency-0.8.0/highfrequency/R/leadLag.R | 60 - highfrequency-0.8.0/highfrequency/R/liquidityMeasures.R |only highfrequency-0.8.0/highfrequency/R/realizedMeasures.R |only highfrequency-0.8.0/highfrequency/R/realizedMeasuresInference.R |only highfrequency-0.8.0/highfrequency/R/spotVolAndDrift.R |only highfrequency-0.8.0/highfrequency/R/sysdata.rda |only highfrequency-0.8.0/highfrequency/build/vignette.rds |binary highfrequency-0.8.0/highfrequency/data/SPYRM.rda |only highfrequency-0.8.0/highfrequency/data/sampleOneMinuteData.rda |only highfrequency-0.8.0/highfrequency/data/sampleQData.rda |binary highfrequency-0.8.0/highfrequency/data/sampleQDataRaw.rda |binary highfrequency-0.8.0/highfrequency/data/sampleTData.rda |binary highfrequency-0.8.0/highfrequency/data/sampleTDataEurope.rda |only highfrequency-0.8.0/highfrequency/data/sampleTDataRaw.rda |binary highfrequency-0.8.0/highfrequency/inst/doc/data_handing.R | 8 highfrequency-0.8.0/highfrequency/inst/doc/data_handing.Rmd | 12 highfrequency-0.8.0/highfrequency/inst/doc/data_handing.html | 442 ++------ highfrequency-0.8.0/highfrequency/man/AJjumpTest.Rd | 36 highfrequency-0.8.0/highfrequency/man/BNSjumpTest.Rd | 76 - highfrequency-0.8.0/highfrequency/man/Bj.Rd |only highfrequency-0.8.0/highfrequency/man/HARmodel.Rd | 164 +-- highfrequency-0.8.0/highfrequency/man/HEAVYmodel.Rd | 126 -- highfrequency-0.8.0/highfrequency/man/IVinference.Rd |only highfrequency-0.8.0/highfrequency/man/JOjumpTest.Rd | 26 highfrequency-0.8.0/highfrequency/man/RV.Rd | 4 highfrequency-0.8.0/highfrequency/man/ReMeDI.Rd | 38 highfrequency-0.8.0/highfrequency/man/ReMeDIAsymptoticVariance.Rd |only highfrequency-0.8.0/highfrequency/man/SPYRM.Rd |only highfrequency-0.8.0/highfrequency/man/aggregatePrice.Rd | 57 - highfrequency-0.8.0/highfrequency/man/aggregateQuotes.Rd | 43 highfrequency-0.8.0/highfrequency/man/aggregateTS.Rd | 63 - highfrequency-0.8.0/highfrequency/man/aggregateTrades.Rd | 54 - highfrequency-0.8.0/highfrequency/man/autoSelectExchangeQuotes.Rd | 24 highfrequency-0.8.0/highfrequency/man/autoSelectExchangeTrades.Rd | 24 highfrequency-0.8.0/highfrequency/man/businessTimeAggregation.Rd | 37 highfrequency-0.8.0/highfrequency/man/driftBursts.Rd |only highfrequency-0.8.0/highfrequency/man/exchangeHoursOnly.Rd | 39 highfrequency-0.8.0/highfrequency/man/getAlphaVantageData.Rd | 16 highfrequency-0.8.0/highfrequency/man/getCriticalValues.Rd |only highfrequency-0.8.0/highfrequency/man/getLiquidityMeasures.Rd | 36 highfrequency-0.8.0/highfrequency/man/getTradeDirection.Rd | 16 highfrequency-0.8.0/highfrequency/man/highfrequency-package.Rd | 27 highfrequency-0.8.0/highfrequency/man/intradayJumpTest.Rd | 48 highfrequency-0.8.0/highfrequency/man/knChooseReMeDI.Rd | 37 highfrequency-0.8.0/highfrequency/man/leadLag.Rd | 49 highfrequency-0.8.0/highfrequency/man/listAvailableKernels.Rd | 27 highfrequency-0.8.0/highfrequency/man/listCholCovEstimators.Rd | 2 highfrequency-0.8.0/highfrequency/man/makeOHLCV.Rd |only highfrequency-0.8.0/highfrequency/man/makePsd.Rd | 22 highfrequency-0.8.0/highfrequency/man/makeRMFormat.Rd |only highfrequency-0.8.0/highfrequency/man/makeReturns.Rd | 12 highfrequency-0.8.0/highfrequency/man/matchTradesQuotes.Rd | 54 - highfrequency-0.8.0/highfrequency/man/mergeQuotesSameTimestamp.Rd | 24 highfrequency-0.8.0/highfrequency/man/mergeTradesSameTimestamp.Rd | 21 highfrequency-0.8.0/highfrequency/man/mukp.Rd | 6 highfrequency-0.8.0/highfrequency/man/noZeroPrices.Rd | 8 highfrequency-0.8.0/highfrequency/man/noZeroQuotes.Rd | 8 highfrequency-0.8.0/highfrequency/man/plot.DBH.Rd |only highfrequency-0.8.0/highfrequency/man/plot.HARmodel.Rd |only highfrequency-0.8.0/highfrequency/man/plot.HEAVYmodel.Rd |only highfrequency-0.8.0/highfrequency/man/predict.HARmodel.Rd |only highfrequency-0.8.0/highfrequency/man/predict.HEAVYmodel.Rd |only highfrequency-0.8.0/highfrequency/man/print.DBH.Rd |only highfrequency-0.8.0/highfrequency/man/print.HARmodel.Rd |only highfrequency-0.8.0/highfrequency/man/quotesCleanup.Rd | 83 + highfrequency-0.8.0/highfrequency/man/rAVGCov.Rd | 77 - highfrequency-0.8.0/highfrequency/man/rBPCov.Rd | 55 - highfrequency-0.8.0/highfrequency/man/rBeta.Rd | 48 highfrequency-0.8.0/highfrequency/man/rCholCov.Rd | 74 + highfrequency-0.8.0/highfrequency/man/rCov.Rd | 46 highfrequency-0.8.0/highfrequency/man/rHYCov.Rd | 35 highfrequency-0.8.0/highfrequency/man/rKernelCov.Rd | 57 - highfrequency-0.8.0/highfrequency/man/rKurt.Rd | 39 highfrequency-0.8.0/highfrequency/man/rMPV.Rd | 52 highfrequency-0.8.0/highfrequency/man/rMRC.Rd |only highfrequency-0.8.0/highfrequency/man/rMedRQ.Rd |only highfrequency-0.8.0/highfrequency/man/rMedRV.Rd |only highfrequency-0.8.0/highfrequency/man/rMinRQ.Rd |only highfrequency-0.8.0/highfrequency/man/rMinRV.Rd |only highfrequency-0.8.0/highfrequency/man/rOWCov.Rd | 85 - highfrequency-0.8.0/highfrequency/man/rQPVar.Rd | 37 highfrequency-0.8.0/highfrequency/man/rQuar.Rd | 36 highfrequency-0.8.0/highfrequency/man/rRTSCov.Rd | 116 +- highfrequency-0.8.0/highfrequency/man/rSV.Rd | 50 highfrequency-0.8.0/highfrequency/man/rSemiCov.Rd | 73 - highfrequency-0.8.0/highfrequency/man/rSkew.Rd | 41 highfrequency-0.8.0/highfrequency/man/rTPQuar.Rd |only highfrequency-0.8.0/highfrequency/man/rTSCov.Rd | 97 - highfrequency-0.8.0/highfrequency/man/rThresholdCov.Rd | 55 - highfrequency-0.8.0/highfrequency/man/rankJumpTest.Rd | 117 +- highfrequency-0.8.0/highfrequency/man/refreshTime.Rd | 15 highfrequency-0.8.0/highfrequency/man/rmLargeSpread.Rd | 20 highfrequency-0.8.0/highfrequency/man/rmNegativeSpread.Rd | 8 highfrequency-0.8.0/highfrequency/man/rmOutliersQuotes.Rd | 40 highfrequency-0.8.0/highfrequency/man/rmTradeOutliersUsingQuotes.Rd | 41 highfrequency-0.8.0/highfrequency/man/salesCondition.Rd | 25 highfrequency-0.8.0/highfrequency/man/sampleOneMinuteData.Rd |only highfrequency-0.8.0/highfrequency/man/sampleQData.Rd | 16 highfrequency-0.8.0/highfrequency/man/sampleQDataRaw.Rd | 6 highfrequency-0.8.0/highfrequency/man/sampleTData.Rd | 26 highfrequency-0.8.0/highfrequency/man/sampleTDataEurope.Rd |only highfrequency-0.8.0/highfrequency/man/sampleTDataRaw.Rd | 6 highfrequency-0.8.0/highfrequency/man/selectExchange.Rd | 12 highfrequency-0.8.0/highfrequency/man/spotDrift.Rd | 137 ++ highfrequency-0.8.0/highfrequency/man/spotVol.Rd | 414 ++++--- highfrequency-0.8.0/highfrequency/man/summary.HARmodel.Rd |only highfrequency-0.8.0/highfrequency/man/tradesCleanup.Rd | 81 - highfrequency-0.8.0/highfrequency/man/tradesCleanupUsingQuotes.Rd | 54 - highfrequency-0.8.0/highfrequency/man/tradesCondition.Rd |only highfrequency-0.8.0/highfrequency/src/HARmodel.cpp |only highfrequency-0.8.0/highfrequency/src/HEAVYmodel.cpp |only highfrequency-0.8.0/highfrequency/src/RcppExports.cpp | 187 ++- highfrequency-0.8.0/highfrequency/src/businessTimeSampling.cpp |only highfrequency-0.8.0/highfrequency/src/driftBursts.cpp |only highfrequency-0.8.0/highfrequency/src/internals.cpp | 70 + highfrequency-0.8.0/highfrequency/src/realizedMeasures.cpp |only highfrequency-0.8.0/highfrequency/tests/testthat/Rplots.pdf |binary highfrequency-0.8.0/highfrequency/tests/testthat/tests_data_handling.R | 259 ++-- highfrequency-0.8.0/highfrequency/tests/testthat/tests_driftBursts.R |only highfrequency-0.8.0/highfrequency/tests/testthat/tests_jump_tests.R | 47 highfrequency-0.8.0/highfrequency/tests/testthat/tests_leadLag.R | 50 highfrequency-0.8.0/highfrequency/tests/testthat/tests_liquidity_measures.R | 56 - highfrequency-0.8.0/highfrequency/tests/testthat/tests_models.R | 116 +- highfrequency-0.8.0/highfrequency/tests/testthat/tests_realized_measures.R | 539 +++++++--- highfrequency-0.8.0/highfrequency/tests/testthat/tests_spotvol_and_drift.R | 49 highfrequency-0.8.0/highfrequency/vignettes/data_handing.Rmd | 12 199 files changed, 3538 insertions(+), 2668 deletions(-)
Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports
the static site generator 'Hugo' (<https://gohugo.io>) best, and it also
supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>),
Christophe Dervieux [aut] (<https://orcid.org/0000-0003-4474-2498>),
Alison Presmanes Hill [aut] (<https://orcid.org/0000-0002-8082-1890>),
Amber Thomas [ctb],
Beilei Bian [ctb],
Brandon Greenwell [ctb],
Brian Barkley [ctb],
Deependra Dhakal [ctb],
Eric Nantz [ctb],
Forest Fang [ctb],
Garrick Aden-Buie [ctb],
Hiroaki Yutani [ctb],
Ian Lyttle [ctb],
Jake Barlow [ctb],
James Balamuta [ctb],
JJ Allaire [ctb],
Jon Calder [ctb],
Jozef Hajnala [ctb],
Juan Manuel Vazquez [ctb],
Kevin Ushey [ctb],
Leonardo Collado-Torres [ctb],
Maëlle Salmon [ctb],
Maria Paula Caldas [ctb],
Nicolas Roelandt [ctb],
Oliver Madsen [ctb],
Raniere Silva [ctb],
TC Zhang [ctb],
Xianying Tan [ctb],
RStudio, PBC [cph]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between blogdown versions 0.21 dated 2020-10-11 and 1.0 dated 2021-01-09
blogdown-0.21/blogdown/NEWS.md |only blogdown-0.21/blogdown/inst/resources/2015-07-23-r-rmarkdown.Rmd |only blogdown-0.21/blogdown/inst/scripts/child_pids.sh |only blogdown-0.21/blogdown/inst/scripts/render_page.R |only blogdown-0.21/blogdown/inst/scripts/render_rmarkdown.R |only blogdown-0.21/blogdown/man/md5sum_filter.Rd |only blogdown-1.0/blogdown/DESCRIPTION | 51 blogdown-1.0/blogdown/MD5 | 65 - blogdown-1.0/blogdown/NAMESPACE | 26 blogdown-1.0/blogdown/R/addin.R | 17 blogdown-1.0/blogdown/R/check.R |only blogdown-1.0/blogdown/R/format.R | 12 blogdown-1.0/blogdown/R/hugo.R | 296 ++++- blogdown-1.0/blogdown/R/install.R | 274 ++++- blogdown-1.0/blogdown/R/package.R | 16 blogdown-1.0/blogdown/R/render.R | 207 +++- blogdown-1.0/blogdown/R/serve.R | 212 +--- blogdown-1.0/blogdown/R/site.R | 35 blogdown-1.0/blogdown/R/utils.R | 516 +++++++--- blogdown-1.0/blogdown/README.md | 4 blogdown-1.0/blogdown/inst/NEWS.Rd |only blogdown-1.0/blogdown/inst/resources/2020-12-01-r-rmarkdown.Rmd |only blogdown-1.0/blogdown/inst/resources/Rprofile |only blogdown-1.0/blogdown/inst/resources/postref.html |only blogdown-1.0/blogdown/inst/resources/template-minimal.html | 7 blogdown-1.0/blogdown/inst/rstudio/templates/project/skeleton.dcf | 13 blogdown-1.0/blogdown/inst/scripts/insert_image.R | 207 ++-- blogdown-1.0/blogdown/inst/scripts/new_post.R | 200 +-- blogdown-1.0/blogdown/inst/scripts/update_meta.R | 149 +- blogdown-1.0/blogdown/man/build_site.Rd | 54 - blogdown-1.0/blogdown/man/check_site.Rd |only blogdown-1.0/blogdown/man/clean_duplicates.Rd |only blogdown-1.0/blogdown/man/config_Rprofile.Rd |only blogdown-1.0/blogdown/man/config_netlify.Rd |only blogdown-1.0/blogdown/man/edit_draft.Rd |only blogdown-1.0/blogdown/man/filter_newfile.Rd |only blogdown-1.0/blogdown/man/find_hugo.Rd |only blogdown-1.0/blogdown/man/html_page.Rd | 8 blogdown-1.0/blogdown/man/hugo_cmd.Rd | 44 blogdown-1.0/blogdown/man/install_hugo.Rd | 54 - blogdown-1.0/blogdown/man/serve_site.Rd | 5 blogdown-1.0/blogdown/tests/testit/test-install.R |only blogdown-1.0/blogdown/tests/testit/test-utils.R | 19 43 files changed, 1633 insertions(+), 858 deletions(-)