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✨
DESCRIPTION
card.svg |card.png
cepiweek/json (API)

# Install 'cepiweek' in R:

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

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

On CRAN:

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

3.48 score 2 stars 197 downloads 1 exports 4 dependencies

Last updated from:32f4c9989a. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	136
source / vignettes	OK	150
linux-release-x86_64	OK	152
macos-release-arm64	OK	75
macos-oldrel-arm64	OK	122
windows-devel	OK	67
windows-release	OK	61
windows-oldrel	OK	63
wasm-release	OK	112