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bets.covid19
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Download and install bets.covid19 package within the R console
Install from CRAN:
install.packages("bets.covid19")
Install from Github:
library("remotes")
install_github("cran/bets.covid19")
Install by package version:
library("remotes")
install_version("bets.covid19", "1.0.0")
Attach the package and use:
library("bets.covid19")
Maintained by
Qingyuan Zhao
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-12
Latest Update: 2020-05-12
Description:
Implements likelihood inference for early epidemic analysis. BETS is short for the four key epidemiological events being modeled: Begin of exposure, End of exposure, time of Transmission, and time of Symptom onset. The package contains a dataset of the trajectory of confirmed cases during the coronavirus disease (COVID-19) early outbreak. More detail of the statistical methods can be found in Zhao et al. (2020) .
How to cite:
Qingyuan Zhao (2020). bets.covid19: The BETS Model for Early Epidemic Data. R package version 1.0.0, https://cran.r-project.org/web/packages/bets.covid19
Previous versions and publish date:
No previous versions
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Functions, R codes and Examples using
the bets.covid19 R package
Some associated functions: age.process . bets.covid19 . bets.inference . bets.likelihood.conditional . bets.likelihood . bets.likelihood.unconditional . covid19_data . date.process . parse.infected . parse.one.infected . preprocess.data . simulate.case . wuhan_exported .
Some associated R codes: bets.covid19.R . data.R . functions.R . likelihood_inference.R . parse_infected.R . simulate.R . Full bets.covid19 package functions and examples
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