
Return an epidist_estimates_data object unchanged
Source: R/estimates_data.R
as_epidist_estimates_data.epidist_estimates_data.RdAn object carrying the class has already been checked, and the epidist_data
methods re-check it whenever it is modified, so nothing is done here.
Usage
# S3 method for class 'epidist_estimates_data'
as_epidist_estimates_data(data, ...)See also
Other estimates_data:
as_epidist_estimates_data(),
as_epidist_estimates_data.data.frame(),
as_epidist_estimates_data.epidist_multivariate(),
as_epidist_estimates_data.list(),
assert_epidist.epidist_estimates_data(),
epidist_estimates_parameters(),
epidist_estimates_summaries(),
is_epidist_estimates_data(),
new_epidist_estimates_data()
Examples
estimates <- epidist_estimates_summaries(
"A",
mean = 7.5, n = 120, trunc_adjusted = TRUE
)
#> ℹ No `pwindow` column supplied, assuming a censoring window of 1 (daily
#> reporting) for every study.
#> ℹ No `swindow` column supplied, assuming a censoring window of 1 (daily
#> reporting) for every study.
#> ℹ No relative_obs_time column supplied, assuming no observation time limit (no
#> right truncation) for every study.
#> ℹ No cens_adjusted column supplied, assuming every study used naive integer
#> date differences without a censoring adjustment.
#> ℹ No max_delay column supplied, using the delay beyond which 1% of the second
#> moment of a lognormal matched to each study's summaries lies (at least 10 and
#> at most twenty times the largest reported value, in whole secondary windows)
#> as the grid cutoff, or five times the largest reported value where nothing
#> can be matched. Raise it if the delay has a longer tail than that, and lower
#> it to speed up fitting.
identical(as_epidist_estimates_data(estimates), estimates)
#> [1] TRUE