Description Usage Arguments Value See Also Examples
Compare current sigmas and sample sizes with candidate values, by
running variations of estSigmaR
, estN
, and
estSigmaI
on all model components.
1 |
model |
fitted |
ceiling |
largest possible sample size in one year, passed to
|
p |
effective number of parameters estimated in the model, passed
to |
digits.n |
number of decimal places to use when rounding sample
sizes, or |
digits.sigma |
number of decimal places to use when rounding
sigmas, or |
List containing data frames summarizing current sigmas and sample sizes, as well as candidate values. The following abbreviations are used in column names:
candidate sigma, the empirical standard deviation.
candidate sample sizes, the empirical multinomial sample sizes.
vector of candidate values, whose mean equals
sigmahat
or nhat
.
vector of candidate values, whose median equals
sigmahat
or nhat
.
vector of identical candidate values, the mean of
nhat
.
vector of identical candidate values, the median of
nhat
.
getN
, getSigmaI
, getSigmaR
,
estN
, estSigmaI
, and
estSigmaR
extract and estimate sample sizes and sigmas.
iterate
combines all the get*
and est*
functions in one call.
scape-package
gives an overview of the package.
1 2 3 4 |
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