Creating control parameters for population size estimation and respective standard error and variance estimation.
controlPopVar(
alpha = 0.05,
bootType = c("parametric", "semiparametric", "nonparametric"),
B = 500,
confType = c("percentilic", "normal", "basic"),
keepbootStat = TRUE,
traceBootstrapSize = FALSE,
bootstrapVisualTrace = FALSE,
fittingMethod = c("optim", "IRLS"),
bootstrapFitcontrol = NULL,
sd = c("sqrtVar", "normalMVUE"),
covType = c("observedInform", "Fisher"),
cores = 1L
)A list with selected parameters, it is also possible to call list directly.
a significance level, 0.05 used by default.
the bootstrap type to be used. Default is "parametric",
other possible values are: "semiparametric" and "nonparametric".
a number of bootstrap samples to be performed (default 500).
a type of confidence interval for bootstrap confidence interval,
"percentile" by default.
Other possibilities: "studentized" and "basic".
a boolean value indicating whether to keep a vector of statistics produced by bootstrap.
a boolean value indicating whether to print size of bootstrapped sample after truncation for semi- and fully parametric bootstraps.
a boolean value indicating whether to plot bootstrap
statistics in real time if cores = 1 if cores > 1 it instead
indicates whether to make progress bar.
a method used for fitting models from bootstrap samples.
control parameters for each regression works exactly
like controlMethod but for fitting models from bootstrap samples.
a character indicating how to compute standard deviation of population
size estimator either as:
=var(N)
for sqrt (which is slightly biased if N
has a normal distribution) or for normalMVUE as the unbiased
minimal variance estimator for normal distribution:
=var(N)
(N_obs-12)(N_obs2)
N_obs2
where the ration involving gamma functions is computed by log gamma function.
a type of covariance matrix for regression parameters by default observed information matrix.
for bootstrap only, a number of processor cores to be used,
any number greater than 1 activates code designed with doParallel,
foreach and parallel packages. Note that for now using parallel
computing makes tracing impossible so traceBootstrapSize and
bootstrapVisualTrace parameters are ignored in this case.
Piotr Chlebicki, Maciej Beręsewicz
estimatePopsize() controlModel() controlMethod()