{"name":"SEIQRDP_for_fitting","title":"Fitted Results for SEIQRDP","pagetitle":"Fitted Results for SEIQRDP — SEIQRDP_for_fitting","aliases":"SEIQRDP_for_fitting","author":"\nSelcuk Korkmaz, selcukorkmaz@gmail.com\n","keywords":[],"description":"

Fitted Results for SEIQRDP

","usage":"SEIQRDP_for_fitting(par, t, t0, Npop, E0, I0, Q, R, D, dt)","arguments":[{"name":"par","description":"

initial guess parameters

"},{"name":"t","description":"

historical time vector

"},{"name":"t0","description":"

target time vector

"},{"name":"Npop","description":"

total population of the country

"},{"name":"E0","description":"

initial number of exposed cases

"},{"name":"I0","description":"

initial number of infectious cases

"},{"name":"Q","description":"

actual number of quarantined cases

"},{"name":"R","description":"

actual number of recovered cases

"},{"name":"D","description":"

actual number of dead cases

"},{"name":"dt","description":"

the time step. This oversamples time to ensure that the algorithm converges

"}],"has_args":true,"sections":[],"value":"

a data frame for fitted quarantined, recovered and deaths

","references":["

Peng, L., Yang, W., Zhang, D., Zhuge, C., Hong, L. 2020. <U+201C>Epidemic analysis of COVID-19 in China by dynamical modeling<U+201D>, arXiv preprint arXiv:2002.06563.","https://www.mathworks.com/matlabcentral/fileexchange/74545-generalized-seir-epidemic-model-fitting-and-computation

"],"seealso":"

fit_SEIQRDP RK4

","package":{"package":"genSEIR","version":"0.1.1"}}

Description

Usage

Arguments

Value

References

See Also