View source: R/summary_cmfit.R
summary.cmfit | R Documentation |
Provide a short summary of cmfit (parameter estimates for periodic mortality curves) objects
## S3 method for class 'cmfit'
summary(object, date = FALSE, ...)
object |
a cmfit object |
date |
logical dictating whether peaks of high mortality are expressed as Dates |
... |
(not implemented) |
a list containing a short summary of the estimates for each parameter along with confidence intervals and AIC
# Simulate data
T.morts1 <- simulate_cycloSurv(1000, period = 365,
meanhazard = 0.3 / 365,
peaks = c(0.25 * 365, 0.75 * 365),
durations = c(0.3 * 365, 0.1 * 365),
weights = c(0.7,0.3),
plotme = FALSE)
# Estimate simulated data
fits <- fit_cyclomort(T.morts1, n.seasons = 2)
fits
# Plot results
plot(fits, nreps = 1000, monthlabs = TRUE)
# NB: `nreps` is for the bootstrap of the confidence interval
# The default (5000) is slower but smoother
# Actual parameter values from simulated data
attributes(T.morts1)
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