LCCR (version 2.0.1)

confint.estLCCR: Confidence interval

Description

Profile confidence interval for a latent class model with covariates.

Usage

# S3 method for estLCCR
confint(object, parm = list(), level = 0.95, ...)

Value

conf

confidence interval

Nv

vector of values of N tried

lkv

corresponding vector of log-likelihood values

level

level of confidence

Nh

point estimate of N

lkh

maximum log-likelihood values

lk1

log-likelihood value at the lower bound

lk2

log-likelihood value at the upper bound

step

step used in the grid search

err

error in the grid search

Arguments

object

output from estLCCR

parm

a list containing control arguments for the step length of the N values(step, default value depending on the estimate of N), range of N values in terms of distance of the log-likelhood from the its maximum (mult, default value 1.5), and maximum value of this grid as a multiple of the estimate of this parameter (max, default value 5)

level

the confidence level required

...

additional argument(s) for methods

Author

Francesco Bartolucci, Antonio Forcina

References

Forcina, A. and Bartolucci, F. (2021). Estimating the size of a closed population by modeling latent and observed heterogeneity, arXiv:2106.03811.

Liu, Y., Li, P., and Qin, J. (2017). Maximum empirical likelihood estimation for abundance in a closed population from capture-recapture data. Biometrika, 104, 527-543.

See Also

estLCCR, plot.confLCCR

Examples

# \donttest{
data(data_sim2)
est = estLCCR(Y=data_sim2$Y,H=2,W=data_sim2$W,biv=matrix(c(1,2,3,4,2,3,4,5),4),main="same")
conf = confint(est)
plot(conf)
# }