Package: triptych 0.1.3

triptych: Diagnostic Graphics to Evaluate Forecast Performance

Overall predictive performance is measured by a mean score (or loss), which decomposes into miscalibration, discrimination, and uncertainty components. The main focus is visualization of these distinct and complementary aspects in joint displays. See Dimitriadis, Gneiting, Jordan, Vogel (2024) <doi:10.1016/j.ijforecast.2023.09.007>.

Authors:Timo Dimitriadis [aut, cph], Alexander I. Jordan [aut, cre, cph]

triptych_0.1.3.tar.gz
triptych_0.1.3.zip(r-4.7-x86_64)triptych_0.1.3.zip(r-4.7-arm64)triptych_0.1.3.zip(r-4.6-x86_64)triptych_0.1.3.zip(r-4.6-arm64)triptych_0.1.3.zip(r-4.5-x86_64)
triptych_0.1.3.tgz(r-4.6-x86_64)triptych_0.1.3.tgz(r-4.6-arm64)triptych_0.1.3.tgz(r-4.5-x86_64)triptych_0.1.3.tgz(r-4.5-arm64)
triptych_0.1.3.tar.gz(r-4.7-arm64)triptych_0.1.3.tar.gz(r-4.7-x86_64)triptych_0.1.3.tar.gz(r-4.6-arm64)triptych_0.1.3.tar.gz(r-4.6-x86_64)
triptych_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
triptych/json (API)

# Install 'triptych' in R:

install.packages('triptych', repos = c('https://aijordan.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/aijordan/triptych/issues

Pkgdown/docs site:https://aijordan.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

ex_binary - Example data set of binary observations and probability forecasts

On CRAN:

cpp

2.98 score 1 stars 19 scripts 274 downloads 18 exports 40 dependencies

Last updated from:62f8591e13. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	153
linux-devel-x86_64	OK	173
source / vignettes	OK	264
linux-release-arm64	OK	152
linux-release-x86_64	OK	175
macos-release-arm64	OK	141
macos-release-x86_64	OK	229
macos-oldrel-arm64	OK	144
macos-oldrel-x86_64	OK	282
windows-devel-arm64	OK	359
windows-devel-x86_64	OK	182
windows-release-arm64	OK	358
windows-release-x86_64	OK	145
windows-oldrel-x86_64	OK	137
wasm-release	OK	126

Exports:add_confidence add_consistency as_mcbdsc as_murphy as_reliability as_roc autoplot estimates forecasts mcbdsc murphy observations regions reliability resampling_Bernoulli resampling_cases roc triptych

Dependencies:base64enc class cli cpp11 dplyr farver generics geomtextpath ggplot2 ggrepel glue gtable isoband jsonlite labeling lifecycle magrittr monotone patchwork pillar pkgconfig pROC purrr R6 RColorBrewer Rcpp rlang S7 scales stringi stringr systemfonts textshaping tibble tidyr tidyselect utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Accessing original forecast and observation data for triptych objects	accessors forecasts observations
Adding confidence regions	add_confidence
Adding consistency regions for reliability curves	add_consistency
Accessing diagnostic estimate data	estimates estimates.triptych_mcbdsc estimates.triptych_murphy estimates.triptych_reliability estimates.triptych_roc
Example data set of binary observations and probability forecasts	ex_binary
Evaluation of forecasts using score decompositions	as_mcbdsc mcbdsc
Evaluation of forecasts using Murphy curves	as_murphy murphy
Plot methods for the triptych classes	autoplot.triptych autoplot.triptych_mcbdsc autoplot.triptych_murphy autoplot.triptych_reliability autoplot.triptych_roc plot.triptych plot.triptych_mcbdsc plot.triptych_murphy plot.triptych_reliability plot.triptych_roc
Accessing confidence/consistency region data	regions regions.triptych_mcbdsc regions.triptych_murphy regions.triptych_reliability regions.triptych_roc
Evaluation of forecasts using reliability curves	as_reliability reliability
Bootstrap (binary) observation resampling for triptych objects	resampling_Bernoulli resampling_Bernoulli.triptych_murphy resampling_Bernoulli.triptych_reliability resampling_Bernoulli.triptych_roc
Bootstrap case resampling for triptych objects	resampling_cases resampling_cases.triptych_murphy resampling_cases.triptych_reliability resampling_cases.triptych_roc
Evaluation of forecasts using ROC curves	as_roc roc
Evaluation of forecasts using a Triptych	triptych