Description Usage Arguments Value Functions Examples
functions to get tibble outputs from incidence package
1 2 3 4 5 | get_info_tidy(incidence_fit, what)
tidy_incidence(incidence_fit)
glance_incidence(incidence_fit)
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incidence_fit |
incidence_fit or incidence_fit_list object |
what |
character string of parameter of interest |
incidence tibbles!
get_info_tidy
: generates a tibble of incidence::get_info()
tidy_incidence
: generates a complete summary tibble from incidence fit paramteter estimates
glance_incidence
: generates a complete summary tibble from incidence fit model performance
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # example outbreak --------------------------------------------------------
library(outbreaks) #sample data
library(incidence) #core functions
# library(avallecam) #improvements
dat <- ebola_sim$linelist$date_of_onset
i.7 <- incidence(dat, interval=7)
# plot(i.7)
f1 <- fit(i.7[1:20])
# f1
f2 <- fit_optim_split(i.7)
# f2
# get_info_tidy: tibble outputs from fit object ---------------------------
# original
get_info(f1,what = "r")
# new improvement
get_info_tidy(f1,what = "r")
# for incidence::fit_optim_split outputs use .$fit
# original
get_info(f2$fit, what = "r")
#improvement
get_info_tidy(f2$fit, what = "r")
# try more examples:
# get_info(f2$fit, what = "r.conf")
# get_info_tidy(f2$fit, what = "r.conf")
# get_info_tidy(f2$fit, what = "doubling")
# get_info_tidy(f2$fit, what = "doubling.conf")
# get_info_tidy(f2$fit, what = "halving")
# get_info_tidy(f2$fit, what = "halving.conf")
# tidy_incidence: all key parameters in tibble ----------------------------
tidy_incidence(incidence_fit = f1)
tidy_incidence(incidence_fit = f2$fit)
# glance_incidence: check model performance -------------------------------
glance_incidence(incidence_fit = f1)
glance_incidence(incidence_fit = f2$fit)
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