oneStepAhead_hhh4lag: Predictive Model Assessment for hhh4_lag Models
In jbracher/hhh4addon: Extensions to endemic-epidemic timeseries modeling from package surveillance
View source: R/hhh4lag_oneStepAhead.R
oneStepAhead_hhh4lag R Documentation
Predictive Model Assessment for hhh4_lag Models
Description
A version of surveillance::oneStepAhead for hhh4_lag objects. NOTE: by default the lag_par parameter
is not re-fit in this function!
Usage
oneStepAhead_hhh4lag(
result,
tp,
type = c("rolling", "first", "final"),
refit_par_lag = FALSE,
which.start = c("current", "final"),
keep.estimates = FALSE,
verbose = TRUE,
cores = 1
)
Arguments
refit_par_lag
Only new argument compared to surveillance:oneStepAhead: should the lag weighting parameter lag_par be re-fitted in each iteration? Defaults to FALSE.
jbracher/hhh4addon documentation built on Aug. 29, 2024, 9:53 a.m.
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View source: R/hhh4lag_oneStepAhead.R
| oneStepAhead_hhh4lag | R Documentation |
Predictive Model Assessment for hhh4_lag Models
Description
A version of surveillance::oneStepAhead for hhh4_lag objects. NOTE: by default the lag_par parameter
is not re-fit in this function!
Usage
oneStepAhead_hhh4lag(
result,
tp,
type = c("rolling", "first", "final"),
refit_par_lag = FALSE,
which.start = c("current", "final"),
keep.estimates = FALSE,
verbose = TRUE,
cores = 1
)
Arguments
refit_par_lag |
Only new argument compared to |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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