Title: Time Series for 'iNZight'
Description: Provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960) <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>),
Junjie Zeng [aut],
Simon Potter [aut],
David Banks [aut],
Marco Kuper [aut],
Dongning Zhang [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>
Diff between iNZightTS versions 1.5.2 dated 2020-05-12 and 1.5.7 dated 2020-10-18
DESCRIPTION | 17 +++---- MD5 | 23 +++++----- NAMESPACE | 1 R/compareplot.R | 76 +++++++++++++++++---------------- R/decomposition.R | 86 ++++++++++++++++++++++++-------------- R/iNZightTS.R | 12 +++-- R/rawplot.R | 43 +++++++++++++++---- R/sysdata.rda |only man/plot.iNZightTS.Rd | 3 + tests/testthat/test_interaction.R | 5 +- tests/testthat/test_plots.R | 19 +++++++- tests/testthat/test_subset.R | 10 +++- tests/testthat/test_utils.R | 4 - 13 files changed, 191 insertions(+), 108 deletions(-)
Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data.
Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted.
Quantitative proteomics (Schubert et al 2017 <doi:10.1038/nprot.2017.040>) measurements frequently contain multiple NA values, due to physical absence of given peptides in some samples, limitations in sensitivity or other reasons.
The functions provided here help to inspect graphically the data to investigate the nature of NA-values via their respective replicate measurements and to help/confirm the choice of NA-replacement by low random values.
Dedicated filtering and statistical testing using the framework of package 'limma' <doi:10.18129/B9.bioc.limma> can be run, enhanced by multiple rounds of NA-replacements to provide robustness towards rare stochastic events.
Multi-species samples, as frequently used in benchmark-tests (eg Navarro et al 2016 <doi:10.1038/nbt.3685>, Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>), can be run with special options separating the data into sub-groups during normalization and testing.
Subsequently, ROC curves (Hand and Till 2001 <doi:10.1023/A:1010920819831>) can be constructed to compare multiple analysis approaches.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>
Diff between wrProteo versions 1.1.4 dated 2020-10-07 and 1.2.0 dated 2020-10-18
DESCRIPTION | 6 - MD5 | 20 ++++-- NAMESPACE | 1 R/corColumnOrder.R |only R/readMaxQuantFile.R | 3 R/testRobustToNAimputation.R | 4 - build/vignette.rds |binary inst/doc/wrProteoVignette1.html | 89 ++++++++++++++++++++++++--- inst/doc/wrProteoVignetteUPS1.R |only inst/doc/wrProteoVignetteUPS1.Rmd |only inst/doc/wrProteoVignetteUPS1.html |only inst/extdata/proteinGroups.txt.gz |only inst/extdata/pxd001819_PD2.4_Proteins.txt.gz |only man/corColumnOrder.Rd |only vignettes/wrProteoVignetteUPS1.Rmd |only 15 files changed, 102 insertions(+), 21 deletions(-)
Title: Tools for Spell Checking in R
Description: Spell checking common document formats including latex, markdown, manual pages,
and description files. Includes utilities to automate checking of documentation and
vignettes as a unit test during 'R CMD check'. Both British and American English are
supported out of the box and other languages can be added. In addition, packages may
define a 'wordlist' to allow custom terminology without having to abuse punctuation.
Author: Jeroen Ooms [cre, aut] (<https://orcid.org/0000-0002-4035-0289>),
Jim Hester [aut]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between spelling versions 2.1 dated 2019-03-11 and 2.2 dated 2020-10-18
spelling-2.1/spelling/man/parse_text.Rd |only spelling-2.2/spelling/DESCRIPTION | 11 ++++++----- spelling-2.2/spelling/MD5 | 21 ++++++++++----------- spelling-2.2/spelling/NEWS | 6 ++++++ spelling-2.2/spelling/R/check-files.R | 18 +++++++++++++++--- spelling-2.2/spelling/R/parse-markdown.R | 6 ++++-- spelling-2.2/spelling/R/spell-check.R | 16 +++++++++++----- spelling-2.2/spelling/R/wordlist.R | 4 ++-- spelling-2.2/spelling/inst/WORDLIST | 3 +-- spelling-2.2/spelling/man/spell_check_files.Rd | 6 +++--- spelling-2.2/spelling/man/spell_check_package.Rd | 15 ++++++++------- spelling-2.2/spelling/man/wordlist.Rd | 4 ++-- 12 files changed, 68 insertions(+), 42 deletions(-)
Title: Log Rotation and Conditional Backups
Description: Conditionally rotate or back-up files based on
their size or the date of the last backup; inspired by the 'Linux'
utility 'logrotate'.
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>
Diff between rotor versions 0.3.0 dated 2020-10-16 and 0.3.1 dated 2020-10-18
DESCRIPTION | 6 - MD5 | 16 +-- NEWS.md | 9 + R/BackupQueue.R | 2 R/Cache.R | 2 R/rotate_rds.R | 3 tests/testthat/test_BackupQueue.R | 199 +++++++++++++++++++++++++++++--------- tests/testthat/test_Cache.R | 46 ++++++-- tests/testthat/test_rotate_rds.R | 44 +++----- 9 files changed, 232 insertions(+), 95 deletions(-)
Title: Descriptive Statistics
Description: Computation of standardized interquartile range (IQR), Huber-type skipped mean (Hampel (1985), <doi:10.2307/1268758>), robust coefficient of variation (CV) (Arachchige et al. (2019), <arXiv:1907.01110>), robust signal to noise ratio (SNR), z-score, standardized mean difference (SMD), as well as functions that support graphical visualization such as boxplots based on quartiles (not hinges), negative logarithms and generalized logarithms for 'ggplot2' (Wickham (2016), ISBN:978-3-319-24277-4).
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>
Diff between MKdescr versions 0.5 dated 2019-11-25 and 0.6 dated 2020-10-18
DESCRIPTION | 10 - MD5 | 30 ++--- NAMESPACE | 6 - NEWS | 10 + R/CV.R | 13 +- R/SMD.R |only R/SNR.R | 8 - R/zscore.R |only build/vignette.rds |binary inst/doc/MKdescr.R | 70 ++++++++--- inst/doc/MKdescr.Rmd | 44 +++++++ inst/doc/MKdescr.html | 285 ++++++++++++++++++++++++++++++++---------------- man/0MKdescr-package.Rd | 10 - man/CV.Rd | 6 + man/SMD.Rd |only man/SNR.Rd | 6 + man/zscore.Rd |only vignettes/MKdescr.Rmd | 44 +++++++ 18 files changed, 398 insertions(+), 144 deletions(-)
Title: Modular Approach to Dose Finding Clinical Trials
Description: Methods for working with dose-finding clinical trials. We provide
implementations of many dose-finding clinical trial designs, including the
continual reassessment method (CRM) by O'Quigley et al. (1990)
<doi:10.2307/2531628>, the toxicity probability interval (TPI) design by Ji
et al. (2007) <doi:10.1177/1740774507079442>, the modified TPI (mTPI) design
by Ji et al. (2010) <doi:10.1177/1740774510382799>, the Bayesian optimal
interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, EffTox
by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the design of
Wages & Tait (2015) <doi:10.1080/10543406.2014.920873>, and the 3+3
described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. All designs
are implemented with a common interface. We also offer optional additional
classes to tailor the behaviour of all designs, including avoiding skipping
doses, stopping after n patients have been treated at the recommended dose,
stopping when a toxicity condition is met, or demanding that n patients are
treated before stopping is allowed. By daisy-chaining together these classes
using the pipe operator from 'magrittr', it is simple to tailor the
behaviour of a dose-finding design so it behaves how the trialist wants.
Having provided a flexible interface for specifying designs, we then provide
functions to run simulations and calculate dose-paths for future cohorts of
patients.
Author: Kristian Brock [aut, cre] (<https://orcid.org/0000-0002-3921-0166>)
Maintainer: Kristian Brock <kristian.brock@gmail.com>
Diff between escalation versions 0.1.3 dated 2020-05-12 and 0.1.4 dated 2020-10-18
escalation-0.1.3/escalation/inst/doc/DosePaths.R |only escalation-0.1.3/escalation/inst/doc/DosePaths.Rmd |only escalation-0.1.3/escalation/inst/doc/DosePaths.html |only escalation-0.1.3/escalation/inst/doc/DoseSelectorInterface.R |only escalation-0.1.3/escalation/inst/doc/DoseSelectorInterface.Rmd |only escalation-0.1.3/escalation/inst/doc/DoseSelectorInterface.html |only escalation-0.1.3/escalation/inst/doc/Simulation.R |only escalation-0.1.3/escalation/inst/doc/Simulation.Rmd |only escalation-0.1.3/escalation/inst/doc/Simulation.html |only escalation-0.1.3/escalation/tests/testthat/test_stop_at_n_selector.R |only escalation-0.1.3/escalation/vignettes/DosePaths.Rmd |only escalation-0.1.3/escalation/vignettes/DoseSelectorInterface.Rmd |only escalation-0.1.3/escalation/vignettes/Simulation.Rmd |only escalation-0.1.4/escalation/DESCRIPTION | 45 escalation-0.1.4/escalation/MD5 | 189 ++-- escalation-0.1.4/escalation/NAMESPACE | 211 ++++ escalation-0.1.4/escalation/NEWS.md | 7 escalation-0.1.4/escalation/R/boin_selector.R | 97 -- escalation-0.1.4/escalation/R/calculate_probabilities.R | 102 +- escalation-0.1.4/escalation/R/crystallised_dose_paths.R | 105 ++ escalation-0.1.4/escalation/R/derived_dose_selector.R | 45 escalation-0.1.4/escalation/R/dfcrm_selector.R | 28 escalation-0.1.4/escalation/R/dont_skip_doses.R | 4 escalation-0.1.4/escalation/R/eff_tox_selector.R |only escalation-0.1.4/escalation/R/eff_tox_selector_factory.R |only escalation-0.1.4/escalation/R/escalation-package.R |only escalation-0.1.4/escalation/R/follow_path.R | 11 escalation-0.1.4/escalation/R/get_empiric_crm_skeleton_weights.R |only escalation-0.1.4/escalation/R/helpers.R | 74 + escalation-0.1.4/escalation/R/interface.R | 456 ++++++++++ escalation-0.1.4/escalation/R/mtpi_selector.R |only escalation-0.1.4/escalation/R/parse_phase1_2_outcomes.R |only escalation-0.1.4/escalation/R/parse_phase1_outcomes.R | 13 escalation-0.1.4/escalation/R/phase1_2_dose_paths.R |only escalation-0.1.4/escalation/R/phase1_2_outcomes_to_cohorts.R |only escalation-0.1.4/escalation/R/phase1_2_sim.R |only escalation-0.1.4/escalation/R/phase1_dose_paths.R | 8 escalation-0.1.4/escalation/R/random_dose_selector.R |only escalation-0.1.4/escalation/R/select_boin_mtd.R |only escalation-0.1.4/escalation/R/select_dose_by_cibp.R | 1 escalation-0.1.4/escalation/R/selector.R | 86 + escalation-0.1.4/escalation/R/simulate_trials.R | 25 escalation-0.1.4/escalation/R/simulations.R | 154 ++- escalation-0.1.4/escalation/R/stop_when_too_toxic.R | 6 escalation-0.1.4/escalation/R/three_plus_three_selector.R | 8 escalation-0.1.4/escalation/R/tpi_selector.R |only escalation-0.1.4/escalation/R/trialr_crm_selector.R |only escalation-0.1.4/escalation/R/trialr_efftox_selector.R |only escalation-0.1.4/escalation/R/trialr_nbg_selector.R |only escalation-0.1.4/escalation/R/try_rescue_dose.R | 18 escalation-0.1.4/escalation/R/wages_tait_selector.R |only escalation-0.1.4/escalation/README.md | 300 ++++++ escalation-0.1.4/escalation/build/vignette.rds |binary escalation-0.1.4/escalation/inst/doc/A100-DoseSelectors.R |only escalation-0.1.4/escalation/inst/doc/A100-DoseSelectors.Rmd |only escalation-0.1.4/escalation/inst/doc/A100-DoseSelectors.html |only escalation-0.1.4/escalation/inst/doc/A205-CRM.R |only escalation-0.1.4/escalation/inst/doc/A205-CRM.Rmd |only escalation-0.1.4/escalation/inst/doc/A205-CRM.html |only escalation-0.1.4/escalation/inst/doc/A207-NBG.R |only escalation-0.1.4/escalation/inst/doc/A207-NBG.Rmd |only escalation-0.1.4/escalation/inst/doc/A207-NBG.html |only escalation-0.1.4/escalation/inst/doc/A210-TPI.R |only escalation-0.1.4/escalation/inst/doc/A210-TPI.Rmd |only escalation-0.1.4/escalation/inst/doc/A210-TPI.html |only escalation-0.1.4/escalation/inst/doc/A220-mTPI.R |only escalation-0.1.4/escalation/inst/doc/A220-mTPI.Rmd |only escalation-0.1.4/escalation/inst/doc/A220-mTPI.html |only escalation-0.1.4/escalation/inst/doc/A230-BOIN.R |only escalation-0.1.4/escalation/inst/doc/A230-BOIN.Rmd |only escalation-0.1.4/escalation/inst/doc/A230-BOIN.html |only escalation-0.1.4/escalation/inst/doc/A600-DosePaths.R |only escalation-0.1.4/escalation/inst/doc/A600-DosePaths.Rmd |only escalation-0.1.4/escalation/inst/doc/A600-DosePaths.html |only escalation-0.1.4/escalation/inst/doc/A700-Simulation.R |only escalation-0.1.4/escalation/inst/doc/A700-Simulation.Rmd |only escalation-0.1.4/escalation/inst/doc/A700-Simulation.html |only escalation-0.1.4/escalation/man/calculate_probabilities.Rd | 20 escalation-0.1.4/escalation/man/crystallised_dose_paths.Rd | 12 escalation-0.1.4/escalation/man/dose_admissible.Rd |only escalation-0.1.4/escalation/man/eff.Rd |only escalation-0.1.4/escalation/man/eff_at_dose.Rd |only escalation-0.1.4/escalation/man/eff_limit.Rd |only escalation-0.1.4/escalation/man/empiric_eff_rate.Rd |only escalation-0.1.4/escalation/man/escalation-package.Rd |only escalation-0.1.4/escalation/man/follow_path.Rd | 11 escalation-0.1.4/escalation/man/get_boin.Rd | 2 escalation-0.1.4/escalation/man/get_empiric_crm_skeleton_weights.Rd |only escalation-0.1.4/escalation/man/get_mtpi.Rd |only escalation-0.1.4/escalation/man/get_random_selector.Rd |only escalation-0.1.4/escalation/man/get_tpi.Rd |only escalation-0.1.4/escalation/man/get_trialr_crm.Rd |only escalation-0.1.4/escalation/man/get_trialr_efftox.Rd |only escalation-0.1.4/escalation/man/get_trialr_nbg.Rd |only escalation-0.1.4/escalation/man/get_wages_and_tait.Rd |only escalation-0.1.4/escalation/man/is_randomising.Rd |only escalation-0.1.4/escalation/man/mean_prob_eff.Rd |only escalation-0.1.4/escalation/man/median_prob_eff.Rd |only escalation-0.1.4/escalation/man/model_frame.Rd | 8 escalation-0.1.4/escalation/man/num_eff.Rd |only escalation-0.1.4/escalation/man/parse_phase1_2_outcomes.Rd |only escalation-0.1.4/escalation/man/parse_phase1_outcomes.Rd | 10 escalation-0.1.4/escalation/man/phase1_2_outcomes_to_cohorts.Rd |only escalation-0.1.4/escalation/man/prob_eff_quantile.Rd |only escalation-0.1.4/escalation/man/prob_tox_exceeds.Rd | 26 escalation-0.1.4/escalation/man/prob_tox_samples.Rd | 29 escalation-0.1.4/escalation/man/select_boin_mtd.Rd |only escalation-0.1.4/escalation/man/selector.Rd | 28 escalation-0.1.4/escalation/man/simulate_trials.Rd | 11 escalation-0.1.4/escalation/man/simulations.Rd | 5 escalation-0.1.4/escalation/man/tox_limit.Rd |only escalation-0.1.4/escalation/tests/testthat/test_boin.R | 65 + escalation-0.1.4/escalation/tests/testthat/test_crystallised_dose_paths.R | 87 + escalation-0.1.4/escalation/tests/testthat/test_demand_n_at_dose.R | 39 escalation-0.1.4/escalation/tests/testthat/test_dfcrm.R | 41 escalation-0.1.4/escalation/tests/testthat/test_dont_skip_doses.R | 57 + escalation-0.1.4/escalation/tests/testthat/test_follow_path.R | 49 + escalation-0.1.4/escalation/tests/testthat/test_mtpi.R |only escalation-0.1.4/escalation/tests/testthat/test_parse_phase1_2_outcomes.R |only escalation-0.1.4/escalation/tests/testthat/test_parse_phase1_outcomes.R |only escalation-0.1.4/escalation/tests/testthat/test_random_selector.R |only escalation-0.1.4/escalation/tests/testthat/test_select_boin_mtd.R |only escalation-0.1.4/escalation/tests/testthat/test_select_dose_by_cibp.R | 41 escalation-0.1.4/escalation/tests/testthat/test_stop_at_n.R |only escalation-0.1.4/escalation/tests/testthat/test_stop_when_n_at_dose.R | 41 escalation-0.1.4/escalation/tests/testthat/test_stop_when_too_toxic.R | 44 escalation-0.1.4/escalation/tests/testthat/test_stop_when_tox_ci_covered.R | 41 escalation-0.1.4/escalation/tests/testthat/test_three_plus_three.R | 60 + escalation-0.1.4/escalation/tests/testthat/test_tpi.R |only escalation-0.1.4/escalation/tests/testthat/test_trialr_crm.R |only escalation-0.1.4/escalation/tests/testthat/test_trialr_efftox.R |only escalation-0.1.4/escalation/tests/testthat/test_trialr_nbg.R |only escalation-0.1.4/escalation/tests/testthat/test_try_rescue_dose.R | 46 - escalation-0.1.4/escalation/tests/testthat/test_wages_tait.R |only escalation-0.1.4/escalation/vignettes/A100-DoseSelectors.Rmd |only escalation-0.1.4/escalation/vignettes/A205-CRM.Rmd |only escalation-0.1.4/escalation/vignettes/A207-NBG.Rmd |only escalation-0.1.4/escalation/vignettes/A210-TPI.Rmd |only escalation-0.1.4/escalation/vignettes/A220-mTPI.Rmd |only escalation-0.1.4/escalation/vignettes/A230-BOIN.Rmd |only escalation-0.1.4/escalation/vignettes/A600-DosePaths.Rmd |only escalation-0.1.4/escalation/vignettes/A700-Simulation.Rmd |only escalation-0.1.4/escalation/vignettes/library.bib | 78 + 143 files changed, 2512 insertions(+), 332 deletions(-)
Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models
and get relevant evaluation metrics in a tidy format. Validate the
best model on a test set and compare it to a baseline evaluation.
Alternatively, evaluate predictions from an external model. Currently
supports regression and classification (binary and multiclass).
Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R.,
& Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre],
Benjamin Hugh Zachariae [aut]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>
Diff between cvms versions 1.1.0 dated 2020-10-07 and 1.2.0 dated 2020-10-18
cvms-1.1.0/cvms/inst/doc/creating_a_confusion_matrix.R |only cvms-1.1.0/cvms/inst/doc/creating_a_confusion_matrix.Rmd |only cvms-1.1.0/cvms/inst/doc/creating_a_confusion_matrix.html |only cvms-1.1.0/cvms/vignettes/creating_a_confusion_matrix.Rmd |only cvms-1.2.0/cvms/DESCRIPTION | 12 cvms-1.2.0/cvms/MD5 | 106 +- cvms-1.2.0/cvms/NAMESPACE | 1 cvms-1.2.0/cvms/NEWS.md | 23 cvms-1.2.0/cvms/R/baseline_multinomial.R | 6 cvms-1.2.0/cvms/R/cross_validate_list.R | 4 cvms-1.2.0/cvms/R/evaluate.R | 43 - cvms-1.2.0/cvms/R/evaluate_predictions_binomial.R | 38 cvms-1.2.0/cvms/R/evaluate_predictions_gaussian.R | 16 cvms-1.2.0/cvms/R/evaluate_predictions_multinomial.R | 56 - cvms-1.2.0/cvms/R/evaluate_residuals.R | 34 cvms-1.2.0/cvms/R/extract_probabilities_of.R | 4 cvms-1.2.0/cvms/R/helpers.R | 5 cvms-1.2.0/cvms/R/internal_evaluate_predictions.R | 8 cvms-1.2.0/cvms/R/most_challenging.R | 12 cvms-1.2.0/cvms/R/nesting_predictions.R | 16 cvms-1.2.0/cvms/R/plot_confusion_matrix.R | 408 ++++++++-- cvms-1.2.0/cvms/R/plot_probabilities.R | 8 cvms-1.2.0/cvms/R/plot_probabilities_ecdf.R | 6 cvms-1.2.0/cvms/R/plotting_utilities.R | 208 ++++- cvms-1.2.0/cvms/R/process_info.R | 20 cvms-1.2.0/cvms/R/validate_list.R | 4 cvms-1.2.0/cvms/README.md | 23 cvms-1.2.0/cvms/build/cvms.pdf |binary cvms-1.2.0/cvms/build/vignette.rds |binary cvms-1.2.0/cvms/inst/doc/Creating_a_confusion_matrix.R |only cvms-1.2.0/cvms/inst/doc/Creating_a_confusion_matrix.Rmd |only cvms-1.2.0/cvms/inst/doc/Creating_a_confusion_matrix.html |only cvms-1.2.0/cvms/inst/doc/available_metrics.html | 4 cvms-1.2.0/cvms/inst/doc/cross_validating_custom_functions.html | 8 cvms-1.2.0/cvms/inst/doc/evaluate_by_id.html | 4 cvms-1.2.0/cvms/man/evaluate.Rd | 7 cvms-1.2.0/cvms/man/evaluate_residuals.Rd | 10 cvms-1.2.0/cvms/man/figures/README-unnamed-chunk-6-1.png |binary cvms-1.2.0/cvms/man/font.Rd | 6 cvms-1.2.0/cvms/man/most_challenging.Rd | 3 cvms-1.2.0/cvms/man/plot_confusion_matrix.Rd | 74 + cvms-1.2.0/cvms/man/plot_metric_density.Rd | 3 cvms-1.2.0/cvms/man/plot_probabilities.Rd | 7 cvms-1.2.0/cvms/man/plot_probabilities_ecdf.Rd | 5 cvms-1.2.0/cvms/man/process_info_binomial.Rd | 14 cvms-1.2.0/cvms/man/sum_tile_settings.Rd |only cvms-1.2.0/cvms/tests/testthat/test_evaluate.R | 12 cvms-1.2.0/cvms/tests/testthat/test_evaluate_residuals.R | 92 +- cvms-1.2.0/cvms/tests/testthat/test_metrics.R | 6 cvms-1.2.0/cvms/tests/testthat/test_most_challenging.R | 134 --- cvms-1.2.0/cvms/tests/testthat/test_plotting_functions.R | 139 +++ cvms-1.2.0/cvms/tests/testthat/test_select_metrics.R | 4 cvms-1.2.0/cvms/vignettes/Creating_a_confusion_matrix.Rmd |only cvms-1.2.0/cvms/vignettes/man/figures/vignette_conf_mat-unnamed-chunk-13-1.png |binary cvms-1.2.0/cvms/vignettes/man/figures/vignette_conf_mat-unnamed-chunk-14-1.png |binary cvms-1.2.0/cvms/vignettes/man/figures/vignette_conf_mat-unnamed-chunk-15-1.png |binary cvms-1.2.0/cvms/vignettes/man/figures/vignette_conf_mat-unnamed-chunk-16-1.png |binary cvms-1.2.0/cvms/vignettes/man/figures/vignette_conf_mat-unnamed-chunk-16-2.png |only cvms-1.2.0/cvms/vignettes/man/figures/vignette_conf_mat-unnamed-chunk-17-1.png |only cvms-1.2.0/cvms/vignettes/man/figures/vignette_conf_mat-unnamed-chunk-18-1.png |only 60 files changed, 1061 insertions(+), 532 deletions(-)
Title: Functions for Working with Two- And Four-Parameter Beta
Probability Distributions
Description: Package providing a number of functions for working with Two- and
Four-parameter Beta distributions, including alternative parameterizations,
calculation of moments, and fitting of Beta distributions to vectors of
values. Also includes functions for estimating classification accuracy,
diagnostic performance and consistency, using what is generally known as
the "Livingston and Lewis approach" in the psychometric literature as the
foundational method, which makes extensive use of the Beta distribution.
Livingston and Lewis (1995) <doi:10.1111/j.1745-3984.1995.tb00462.x>.
Hanson (1991) <https://files.eric.ed.gov/fulltext/ED344945.pdf>.
Glas, Lijmer, Prins, Bonsel and Bossuyt (2003) <doi:10.1016/S0895-4356(03)00177-X>.
Author: Haakon Haakstad
Maintainer: Haakon Haakstad <h.t.haakstad@cemo.uio.no>
Diff between betafunctions versions 1.3.0 dated 2020-10-04 and 1.4.0 dated 2020-10-18
DESCRIPTION | 18 +- MD5 | 58 +++--- NAMESPACE | 2 NEWS.md | 74 +++++++- R/betafunctions.R | 414 +++++++++++++++++++++++++++++++++-------------- R/classification.R | 250 ++++++++++++++++++++++------ README.md | 2 man/AMS.Rd | 35 +++ man/BMS.Rd | 40 +++- man/Beta.2p.fit.Rd | 10 + man/Beta.4p.fit.Rd | 16 + man/Beta.gfx.poly.cdf.Rd | 2 man/Beta.gfx.poly.pdf.Rd | 2 man/Beta.tp.fit.Rd | 49 +++++ man/LABMSU.Rd |only man/LL.CA.Rd | 41 ++++ man/LL.ROC.Rd | 6 man/MLA.Rd | 6 man/MLB.Rd | 6 man/MLM.Rd | 6 man/UABMSL.Rd |only man/betamoments.Rd | 8 man/dBeta.pBeta.Rd | 6 man/dBeta.pBinom.Rd | 6 man/dBetaMS.Rd | 6 man/observedmoments.Rd | 2 man/pBeta.4P.Rd | 4 man/pBetaMS.Rd | 8 man/qBeta.4P.Rd | 4 man/qBetaMS.Rd | 8 man/rBetaMS.Rd | 4 31 files changed, 818 insertions(+), 275 deletions(-)
Title: Interactive Plotting for Mathematical Models of Infectious
Disease Spread
Description: Provides interactive plotting for mathematical models of infectious disease spread. Users can choose from a variety of common built-in ordinary differential equation (ODE) models (such as the SIR, SIRS, and SIS models), or create their own. This latter flexibility allows 'shinySIR' to be applied to simple ODEs from any discipline. The package is a useful teaching tool as students can visualize how changing different parameters can impact model dynamics, with minimal knowledge of coding in R. The built-in models are inspired by those featured in Keeling and Rohani (2008) <doi:10.2307/j.ctvcm4gk0> and Bjornstad (2018) <doi:10.1007/978-3-319-97487-3>.
Author: Sinead E. Morris [aut, cre] (<https://orcid.org/0000-0001-8626-1698>),
Ottar N. Bjornstad [ctb]
Maintainer: Sinead E. Morris <sinead.morris@columbia.edu>
Diff between shinySIR versions 0.1.1 dated 2020-02-03 and 0.1.2 dated 2020-10-18
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS.md | 7 +++++++ R/default_names.R | 16 ++++++++-------- R/globals.R | 2 +- R/plotting.R | 7 ++++--- R/run_shiny.R | 27 ++++++++++++++++++++++----- inst/CITATION | 4 ++-- man/plot_model.Rd | 6 ++++-- man/run_shiny.Rd | 9 +++++++-- 10 files changed, 68 insertions(+), 36 deletions(-)
Title: Improved Standard Evaluation Interfaces for Common Data
Manipulation Tasks
Description: The 'seplyr' (standard evaluation plying) package supplies improved
standard evaluation adapter methods for important common 'dplyr' data manipulation tasks.
In addition the 'seplyr' package supplies several new "key operations
bound together" methods. These include 'group_summarize()' (which
combines grouping, arranging and calculation in an atomic unit),
'add_group_summaries()' (which joins grouped summaries into a 'data.frame'
in a well documented manner), 'add_group_indices()' (which adds
per-group identifiers to a 'data.frame' without depending on row-order),
'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()'
(which simulates per-row if-else blocks in expression sequences).
Author: John Mount [aut, cre],
Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>
Diff between seplyr versions 1.0.0 dated 2020-08-12 and 1.0.1 dated 2020-10-18
seplyr-1.0.0/seplyr/tests/testthat |only seplyr-1.0.0/seplyr/tests/testthat.R |only seplyr-1.0.1/seplyr/DESCRIPTION | 12 +- seplyr-1.0.1/seplyr/MD5 | 26 ++--- seplyr-1.0.1/seplyr/NEWS.md | 5 + seplyr-1.0.1/seplyr/R/group_by_se.R | 2 seplyr-1.0.1/seplyr/R/group_indices_se.R | 5 - seplyr-1.0.1/seplyr/inst/doc/MutatePartitioner.html | 76 ++++++++++++++++- seplyr-1.0.1/seplyr/inst/doc/named_map_builder.html | 88 +++++++++++++++++--- seplyr-1.0.1/seplyr/inst/doc/rename_se.html | 76 ++++++++++++++++- seplyr-1.0.1/seplyr/inst/doc/seplyr.html | 78 +++++++++++++++++ seplyr-1.0.1/seplyr/inst/doc/using_seplyr.html | 80 +++++++++++++++++- seplyr-1.0.1/seplyr/inst/tinytest |only seplyr-1.0.1/seplyr/tests/tinytest.R |only 14 files changed, 406 insertions(+), 42 deletions(-)
Title: k-Nearest Neighbor Join for Spatial Data
Description: K-nearest neighbor search for projected and non-projected 'sf' spatial layers. Nearest neighbor search uses (1) C code from 'GeographicLib' for lon-lat point layers, (2) function knn() from package 'nabor' for projected point layers, or (3) function st_distance() from package 'sf' for line or polygon layers. The package also includes several other utility functions for spatial analysis.
Author: Michael Dorman [aut, cre],
Johnathan Rush [ctb],
Ian Hough [ctb],
Dominic Russel [ctb],
Charles F.F Karney [ctb, cph] (Author of included C code from
'GeographicLib' for geodesic distance)
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>
Diff between nngeo versions 0.3.9 dated 2020-08-11 and 0.4.0 dated 2020-10-18
nngeo-0.3.9/nngeo/data/line.RData |only nngeo-0.4.0/nngeo/DESCRIPTION | 15 ++++---- nngeo-0.4.0/nngeo/MD5 | 48 ++++++++++++++-------------- nngeo-0.4.0/nngeo/NEWS.md | 11 ++++-- nngeo-0.4.0/nngeo/R/data.R | 10 +++++ nngeo-0.4.0/nngeo/R/st_azimuth.R | 2 - nngeo-0.4.0/nngeo/R/st_connect.R | 8 ++-- nngeo-0.4.0/nngeo/R/st_nn.R | 33 ++++++------------- nngeo-0.4.0/nngeo/R/st_nn_pnt_proj.R | 16 ++------- nngeo-0.4.0/nngeo/R/st_segments.R | 24 +++++++------- nngeo-0.4.0/nngeo/R/st_split_junctions.R | 2 - nngeo-0.4.0/nngeo/build/vignette.rds |binary nngeo-0.4.0/nngeo/data/line.rda |only nngeo-0.4.0/nngeo/data/pnt.RData |binary nngeo-0.4.0/nngeo/inst/doc/intro.pdf |binary nngeo-0.4.0/nngeo/man/cities.Rd | 3 + nngeo-0.4.0/nngeo/man/line.Rd | 3 + nngeo-0.4.0/nngeo/man/nngeo-package.Rd | 3 + nngeo-0.4.0/nngeo/man/pnt.Rd | 3 + nngeo-0.4.0/nngeo/man/st_azimuth.Rd | 2 - nngeo-0.4.0/nngeo/man/st_connect.Rd | 8 ++-- nngeo-0.4.0/nngeo/man/st_nn.Rd | 16 ++++----- nngeo-0.4.0/nngeo/man/st_segments.Rd | 24 +++++++------- nngeo-0.4.0/nngeo/man/st_split_junctions.Rd | 2 - nngeo-0.4.0/nngeo/man/towns.Rd | 3 + nngeo-0.4.0/nngeo/man/water.Rd | 3 + 26 files changed, 126 insertions(+), 113 deletions(-)
Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles:
Linear and nonlinear parametric and non-parametric (total variation penalized) models
for conditional quantiles of a univariate response and several methods for handling
censored survival data. Portfolio selection methods based on expected shortfall
risk are also now included.
Author: Roger Koenker [cre, aut],
Stephen Portnoy [ctb] (Contributions to Censored QR code),
Pin Tian Ng [ctb] (Contributions to Sparse QR code),
Blaise Melly [ctb] (Contributions to preprocessing code),
Achim Zeileis [ctb] (Contributions to dynrq code essentially identical
to his dynlm code),
Philip Grosjean [ctb] (Contributions to nlrq code),
Cleve Moler [ctb] (author of several linpack routines),
Victor Chernozhukov [ctb] (contributions to extreme value inference
code),
Ivan Fernandez-Val [ctb] (contributions to extreme value inference
code),
Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my
everlasting shame -- how could I have been so slow to adopt R!) and
for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>
Diff between quantreg versions 5.73 dated 2020-10-02 and 5.74 dated 2020-10-18
DESCRIPTION | 6 +++--- MD5 | 18 +++++++++--------- R/boot.R | 18 +++++++++++++++--- R/quantreg.R | 41 ++++++++++++++++++++++++++++------------- R/sfn.R | 6 +++--- build/vignette.rds |binary inst/ChangeLog | 24 +++++++++++++++++++++++- inst/FAQ | 9 +++++++++ man/rq.Rd | 9 ++++++--- man/summary.rq.Rd | 4 ++++ 10 files changed, 100 insertions(+), 35 deletions(-)
Title: A Framework for Data-Driven Stochastic Disease Spread
Simulations
Description: Provides an efficient and very flexible framework to
conduct data-driven epidemiological modeling in realistic large
scale disease spread simulations. The framework integrates
infection dynamics in subpopulations as continuous-time Markov
chains using the Gillespie stochastic simulation algorithm and
incorporates available data such as births, deaths and movements
as scheduled events at predefined time-points. Using C code for
the numerical solvers and 'OpenMP' (if available) to divide work
over multiple processors ensures high performance when simulating
a sample outcome. One of our design goals was to make the package
extendable and enable usage of the numerical solvers from other R
extension packages in order to facilitate complex epidemiological
research. The package contains template models and can be extended
with user-defined models. For more details see the paper by
Widgren, Bauer, Eriksson and Engblom (2019)
<doi:10.18637/jss.v091.i12>.
Author: Stefan Widgren [aut, cre] (<https://orcid.org/0000-0001-5745-2284>),
Robin Eriksson [aut] (<https://orcid.org/0000-0002-4291-712X>),
Stefan Engblom [aut] (<https://orcid.org/0000-0002-3614-1732>),
Pavol Bauer [aut] (<https://orcid.org/0000-0003-4328-7171>),
Thomas Rosendal [ctb] (<https://orcid.org/0000-0002-6576-9668>),
Attractive Chaos [cph] (Author of 'kvec.h'.)
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>
Diff between SimInf versions 8.0.0 dated 2020-09-13 and 8.1.0 dated 2020-10-18
DESCRIPTION | 6 MD5 | 54 +++--- NAMESPACE | 2 NEWS.md | 18 ++ R/C-generator.R | 1 R/SISe.R | 2 R/SISe3.R | 2 R/SimInf_events.R | 163 ++++++++++--------- R/SimInf_model.R | 30 +-- R/mparse.R | 1 R/package_skeleton.R | 4 R/plot.R | 425 ++++++++++++++++++++++++++++++++------------------- R/prevalence.R | 15 + README.md | 8 inst/doc/SimInf.R | 10 - inst/doc/SimInf.Rnw | 12 - inst/doc/SimInf.pdf |binary man/SimInf_events.Rd | 8 man/plot.Rd | 85 ++++++++-- man/prevalence.Rd | 10 - man/u0_SISe.Rd | 2 man/u0_SISe3.Rd | 2 tests/SEIR.R | 90 +++++----- tests/SIR.R | 8 tests/SimInf_model.R | 2 tests/measures.R | 24 -- tests/solver_aem.R | 3 vignettes/SimInf.Rnw | 12 - 28 files changed, 603 insertions(+), 396 deletions(-)
Title: Unbiased Variable Importance for Random Forests
Description: Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also <doi: 10.1080/03610926.2020.1764042>.
The Gini impurities for inbag and OOB data are combined in three different ways, after which the information gain is computed at each split.
This gain is aggregated for each split variable in a tree and averaged across trees.
Author: Markus Loecher <Markus.Loecher@gmail.com>
Maintainer: Markus Loecher <Markus.Loecher@gmail.com>
Diff between rfVarImpOOB versions 1.0 dated 2019-04-05 and 1.0.1 dated 2020-10-18
DESCRIPTION | 10 MD5 | 11 build/vignette.rds |binary inst/CITATION |only inst/doc/rfVarImpOOB-vignette.Rmd | 2 inst/doc/rfVarImpOOB-vignette.html | 932 +++++++++++++++++++++++++++++++++++-- vignettes/rfVarImpOOB-vignette.Rmd | 2 7 files changed, 897 insertions(+), 60 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-03-06 2.0.5
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-01-22 1.0.2
2018-09-19 1.0.1
2018-07-29 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-06-10 0.0.3
2020-06-08 0.0.2
2020-06-04 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2014-08-06 1.7
2012-05-23 1.6
2011-08-24 1.5
2011-07-25 1.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-09-02 0.18
2019-11-14 0.17
2019-05-14 0.16
2018-10-17 0.15
2018-07-18 0.14
2015-10-25 0.13
2015-10-18 0.10
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2013-08-16 3.6
2013-02-28 3.5
2013-01-16 3.4
2012-11-15 3.3
2012-11-14 3.2
2012-11-12 3.1
2012-08-06 3.0
2011-12-02 2.1.1
2011-09-16 2.1.0
2011-08-11 2.0.5
2011-08-10 2.0.4
2011-07-06 2.0.3
2011-06-15 2.0.2
2011-01-20 2.0.1
2010-11-18 2.0.0
2010-09-23 1.0.6
2010-09-08 1.0.5
2010-08-24 1.0.4
2010-05-19 1.0.3
2010-05-07 1.0.2
2010-05-06 1.0.1
2010-05-01 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-10-03 0.0.5
2019-11-13 0.0.3
2019-08-08 0.0.2
2019-08-03 0.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-08-24 1.8.3
2015-11-05 1.8.2
2014-11-07 1.8.1
2014-11-06 1.8
2012-10-30 1.6.2
2009-02-06 1.6.1
2008-05-06 1.5
2006-11-28 1.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-09-27 1.0.3
2019-06-19 1.0.2
2019-04-25 1.0.1
2018-10-06 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-09-13 0.6.1
2018-01-29 0.3.0
Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. Some packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Diff between sasLM versions 0.2.0 dated 2020-09-18 and 0.2.1 dated 2020-10-18
sasLM-0.2.0/sasLM/inst/doc/Validation-Report-GLM-2009181133.pdf |only sasLM-0.2.1/sasLM/DESCRIPTION | 6 - sasLM-0.2.1/sasLM/MD5 | 26 ++++--- sasLM-0.2.1/sasLM/NAMESPACE | 2 sasLM-0.2.1/sasLM/R/CIest.R |only sasLM-0.2.1/sasLM/R/T3test.R | 12 +++ sasLM-0.2.1/sasLM/R/sysdata.rda |only sasLM-0.2.1/sasLM/inst/NEWS.Rd | 9 ++ sasLM-0.2.1/sasLM/inst/doc/Validation-Report-GLM-2009221237.pdf |only sasLM-0.2.1/sasLM/inst/doc/sasLM-manual.pdf |binary sasLM-0.2.1/sasLM/man/BEdata.Rd |only sasLM-0.2.1/sasLM/man/CIest.Rd |only sasLM-0.2.1/sasLM/man/REG.Rd | 2 sasLM-0.2.1/sasLM/man/SS.Rd | 2 sasLM-0.2.1/sasLM/man/T3MS.Rd | 2 sasLM-0.2.1/sasLM/man/T3test.Rd | 7 +- sasLM-0.2.1/sasLM/man/sasLM-package.Rd | 35 ++++++++++ 17 files changed, 81 insertions(+), 22 deletions(-)
Title: Detecting Politeness Features in Text
Description: Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness (Brown & Levinson, 1987 <http://psycnet.apa.org/record/1987-97641-000>; Danescu-Niculescu-Mizil et al., 2013 <arXiv:1306.6078>; Voigt et al., 2017 <doi:10.1073/pnas.1702413114>). We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.
Author: Mike Yeomans, Alejandro Kantor, Dustin Tingley
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>
Diff between politeness versions 0.6.1 dated 2020-07-09 and 0.7.0 dated 2020-10-18
DESCRIPTION | 8 - MD5 | 23 ++-- R/math.R | 25 +++++ R/politeness.R | 13 +- R/politenessProjection.R | 53 +++++++++- README.md | 2 build/vignette.rds |binary inst/doc/politeness.Rmd | 4 inst/doc/politeness.html | 220 +++++++++++++++++++++++++++++++------------- man/foldset.Rd |only man/politeness.Rd | 4 man/politenessProjection.Rd | 5 - vignettes/politeness.Rmd | 4 13 files changed, 262 insertions(+), 99 deletions(-)
Title: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Description: Compute case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance. This material is partially based on work supported by the National Science Foundation under Grant Number 1460719.
Author: Ting Wang [aut, cre],
Edgar Merkle [aut] (<https://orcid.org/0000-0001-7158-0653>),
Yves Rosseel [ctb]
Maintainer: Ting Wang <twb8d@mail.missouri.edu>
Diff between merDeriv versions 0.1-9 dated 2020-03-10 and 0.2-1 dated 2020-10-18
DESCRIPTION | 11 ++- MD5 | 26 ++++---- NAMESPACE | 5 - R/bread.glmerMod.R | 7 +- R/estfun.glmerMod.R | 145 +++++++++++++++++++++++++------------------------- R/estfun.lmerMod.R | 9 ++- R/llcont.glmerMod.R | 35 +++++++----- R/llcont.lmerMod.R | 4 + R/vcov.glmerMod.R | 3 + R/vcov.lmerMod.R | 11 ++- build/partial.rdb |binary inst/tinytest |only man/bread.glmerMod.Rd | 2 man/bread.lmerMod.Rd | 2 tests |only 15 files changed, 140 insertions(+), 120 deletions(-)
Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users.
Currently the only such package with read and write support for TIFF
files with floating point (real-numbered) pixels, and the only package
that can correctly import TIFF files that were saved from 'ImageJ' and
write TIFF files than can be correctly read by 'ImageJ'
<https://imagej.nih.gov/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>),
Kent Johnson [aut],
Simon Urbanek [ctb],
Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>),
Jeroen Ooms [rev, ctb] (<https://orcid.org/0000-0002-4035-0289>),
Jon Clayden [rev] (<https://orcid.org/0000-0002-6608-0619>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between ijtiff versions 2.2.1 dated 2020-10-10 and 2.2.2 dated 2020-10-18
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- NEWS.md | 8 +++++++- inst/doc/reading-and-writing-images.html | 14 +++++++------- inst/doc/text-images.html | 4 ++-- inst/doc/the-imagej-problem.html | 4 ++-- 6 files changed, 28 insertions(+), 22 deletions(-)
Title: Handy File and String Manipulation
Description: This started out as a package for file and string
manipulation. Since then, the 'fs' and 'strex' packages emerged,
offering functionality previously given by this package (but it's done
better in these new ones). Those packages have hence almost pushed
'filesstrings' into extinction. However, it still has a small number
of unique, handy file manipulation functions which can be seen in the
vignette. One example is a function to remove spaces from all file
names in a directory.
Author: Rory Nolan [aut, cre, cph] (<https://orcid.org/0000-0002-5239-4043>),
Sergi Padilla-Parra [ths] (<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between filesstrings versions 3.2.0 dated 2020-10-10 and 3.2.1 dated 2020-10-18
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- NEWS.md | 7 +++++++ build/partial.rdb |binary inst/doc/files.html | 4 ++-- 5 files changed, 18 insertions(+), 11 deletions(-)
Title: Data Package for the 2016 United States Federal Elections
Description: Easily analyze relational data from the United States 2016 federal
election cycle as reported by the Federal Election Commission.
This package contains data about candidates, committees, and a
variety of different financial expenditures. Data is from <https://www.fec.gov/data/browse-data/?tab=bulk-data>.
Author: Marium Tapal [aut, cre] (<https://orcid.org/0000-0001-5093-6462>),
Rana Gahwagy [aut],
Irene Ryan [aut],
Benjamin S. Baumer [aut] (<https://orcid.org/0000-0002-3279-0516>)
Maintainer: Marium Tapal <mariumtapal@gmail.com>
Diff between fec16 versions 0.1.1 dated 2020-08-24 and 0.1.2 dated 2020-10-18
DESCRIPTION | 11 ++++++----- MD5 | 4 ++-- NEWS.md | 6 ++++++ 3 files changed, 14 insertions(+), 7 deletions(-)
Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Algorithms for automatically finding appropriate
thresholds for numerical data, with special functions for thresholding
images. Provides the 'ImageJ' 'Auto Threshold' plugin functionality to
R users. See <https://imagej.net/Auto_Threshold> and Landini et al.
(2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl] (<https://orcid.org/0000-0002-5239-4043>),
Luis Alvarez [ctb] (<https://orcid.org/0000-0003-1316-1906>),
Sergi Padilla-Parra [ctb, ths]
(<https://orcid.org/0000-0002-8010-9481>),
Gabriel Landini [ctb, cph] (<https://orcid.org/0000-0002-9689-0989>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between autothresholdr versions 1.3.7 dated 2020-10-10 and 1.3.9 dated 2020-10-18
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- NAMESPACE | 1 + NEWS.md | 12 ++++++++++++ R/autothresholdr.R | 1 + R/thresh.R | 6 +++--- inst/doc/finding-thresholds.html | 4 ++-- inst/doc/thresholding-image-stacks.html | 4 ++-- inst/doc/thresholding-images.html | 4 ++-- 9 files changed, 35 insertions(+), 21 deletions(-)
More information about autothresholdr at CRAN
Permanent link