This R package aims to implementing the computational framework in the paper Tracking and forecasting milepost moments of the epidemic in the early outbreak framework and applications to the COVID-19 based entirly on the Vicky-Zh’s work.
You can install it as a binary package or source package.
Install from binary:
- Download Binary File **DemoPreTurningPointsCOVID19_1.0.0.zip ** from https://github.com/YuanchenZhu2020/DemoPreTurningPointsCOVID19/releases/tag/Version_1.0.0
- Get the path of this binary file:
pkgfilepath - Install packages in R:
install.packages(pkgfilepath, repos = NULL)
Install from source code:
- download and install RTools. (Mirrors: https://mirrors.tuna.tsinghua.edu.cn/CRAN/bin/windows/Rtools/)
- install devtools in R
install.packages("devtools") - install packages in R
devtools::install_github("YuanchenZhu2020/DemoPreTurningPointsCOVID19")
# install as a binary package.
# 1. download binary package to your PC
# 2. get the path of package file
install.packages(pkgfilepath, repos = NULL)
# install as a source code package (requires RTools)
# install.packages("devtools")
devtools::install_github("YuanchenZhu2020/DemoPreTurningPointsCOVID19")
Function List:
- get_indicators
- calc_velocity
- get_future_indicators
- corr_removed_rate
- get_milepost
- prediction
- period_predict
- prediction
Dataset List:
- COVID19_CN
If you want to see details of each function or dataset, use
help(name). Or you can download the referance
manual.
library(DemoPreTurningPointsCOVID19)
# single begining time
single_result <- prediction(COVID19_CN, M = 5, Beginning_Time = "2020-01-29")
# multiple begining time
period_result <- period_predict(COVID19_CN, M = 5, Beginning_Time = "2020-01-29", period = 32)