Package: cepiweek 0.1.2

Daniel Degina

cepiweek: Continuous Epidemiological Week Indexing for Time-Series Analysis

Provides a simple algorithm to generate a continuous epidemiological week index from date variables in a dataframe. Weeks are computed as sequential 7-day intervals starting from the earliest observed date. They do not reset at calendar year boundaries and are not ISO 8601 nor MMWR calendar weeks. The approach is intended for epidemiological modeling and time-series analysis where temporal continuity is required. The generated weeks are sequential and do not reset at calendar year boundaries.

Authors:Daniel Degina [aut, cre], Joel Mbuyi [ctb]

cepiweek_0.1.2.tar.gz
cepiweek_0.1.2.zip(r-4.7)cepiweek_0.1.2.zip(r-4.6)cepiweek_0.1.2.zip(r-4.5)
cepiweek_0.1.2.tgz(r-4.6-any)cepiweek_0.1.2.tgz(r-4.5-any)
cepiweek_0.1.2.tar.gz(r-4.7-any)cepiweek_0.1.2.tar.gz(r-4.6-any)
cepiweek_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cepiweek/json (API)

# Install 'cepiweek' in R:

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

Bug tracker:https://github.com/deginadaniel/cepiweek/issues

On CRAN:

continuous epidemiology global-health isoweek mmwr modeling modelling nowcasting onehealth open-source public-health statis time-series week weeks

3.30 score 2 stars 166 downloads 1 exports 4 dependencies

Last updated from:407ab7197a. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	107
source / vignettes	OK	209
linux-release-x86_64	OK	101
macos-release-arm64	OK	156
macos-oldrel-arm64	OK	178
windows-devel	OK	65
windows-release	OK	59
windows-oldrel	OK	59
wasm-release	OK	97