Package: rplanes 0.1.0

VP Nagraj

rplanes: Plausibility Analysis of Epidemiological Signals

Provides functionality to prepare data and analyze plausibility of both forecasted and reported epidemiological signals. The functions implement a set of plausibility algorithms that are agnostic to geographic and time resolutions and are calculated independently then presented as a combined score.

Authors:VP Nagraj [aut, cre], Desiree Williams [aut], Amy Benefield [aut]

rplanes_0.1.0.tar.gz
rplanes_0.1.0.zip(r-4.7)rplanes_0.1.0.zip(r-4.6)rplanes_0.1.0.zip(r-4.5)
rplanes_0.1.0.tgz(r-4.6-any)rplanes_0.1.0.tgz(r-4.5-any)
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rplanes_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rplanes/json (API)

# Install 'rplanes' in R:
install.packages('rplanes', repos = c('https://stephenturner.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/signaturescience/rplanes/issues

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

On CRAN:

Conda:

5.78 score 10 stars 7 scripts 197 downloads 17 exports 36 dependencies

Last updated from:6e9fe6d516. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK167
source / vignettesOK231
linux-release-x86_64OK168
macos-release-arm64OK136
macos-oldrel-arm64OK101
windows-develOK117
windows-releaseOK116
windows-oldrelOK124
wasm-releaseOK121

Exports:%>%%m-%is_forecastis_observedplane_coverplane_diffplane_repeatplane_scoreplane_seedplane_shapeplane_taperplane_trendplane_zeroread_forecastrplanes_explorerto_signalvalid_dates

Dependencies:bitbit64clicliprcpp11crayondplyrdtwecpgenericsgluehmslifecyclelubridatemagrittrpillarpkgconfigprettyunitsprogressproxypurrrR6Rcppreadrrlangstringistringrtibbletidyrtidyselecttimechangetzdbutf8vctrsvroomwithr

Basic Usage
Overview | Analyzing plausibility of forecast data | Prepare observed data | Convert observed data into a signal with to_signal() | Create a seed from the observed data via plane_seed() | Prepare forecast data | Convert forecast data into a signal with to_signal() | Run plane_score() and visualize results | Analyzing plausibility of observed data
Rendered frombasic-usage.Rmdusingknitr::rmarkdown

Last update: 2024-07-17
Started: 2023-10-25

PLANES Components
Overview | Data preparation | Difference - plane_diff() | Flagged as implausible | Not flagged as implausible | Coverage - plane_cover() | Taper - plane_taper() | Repeat - plane_repeat() | Controlling sensitivity with parameters | Trend - plane_trend() | Shape - plane_shape() | Zero - plane_zero()
Rendered fromplanes-components.Rmdusingknitr::rmarkdown

Last update: 2024-07-17
Started: 2023-12-20

PLANES Interpretation
Overview | Weighting scheme within plane_score() | Motivations for weighting | Limitations that arise from seed data | Reliability of seed data | Length of seed data | What to do when a flag is raised | Summary
Rendered frominterpretation.Rmdusingknitr::rmarkdown

Last update: 2024-07-17
Started: 2024-07-17

rplanes Explorer
Overview | Analysis steps | Example data | Usage | Inputs and outputs | Launching the app
Rendered fromrplanes-explorer.Rmdusingknitr::rmarkdown

Last update: 2023-12-20
Started: 2023-12-20