Description Usage Arguments Value Author(s) References See Also
This function provides a first estimate of the recovery rate, to faciliate convergence of the main algorithm.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | getLambdaFun(
tTarget,
Q,
R,
guess,
ftol,
ptol,
gtol,
epsfcn,
factor,
maxfev,
maxiter,
nprint,
trace
)
|
tTarget |
target time vector |
Q |
target time-histories of the quarantined cases |
R |
target time-histories of the recovered cases |
guess |
initial guess parameters for kappa |
ftol |
nls.lm.control object. non-negative numeric. Default is |
ptol |
nls.lm.control object. non-negative numeric. Default is |
gtol |
nls.lm.control object. non-negative numeric. Default is |
epsfcn |
nls.lm.control object. Default is |
factor |
nls.lm.control object. Default is |
maxfev |
nls.lm.control object. Default is |
maxiter |
nls.lm.control object. Default is |
nprint |
nls.lm.control object. Default is |
trace |
set |
vector of estimation and optimization function for the recovery rate
Selcuk Korkmaz, selcukorkmaz@gmail.com
Peng, L., Yang, W., Zhang, D., Zhuge, C., Hong, L. 2020. “Epidemic analysis of COVID-19 in China by dynamical modeling”, arXiv preprint arXiv:2002.06563.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.