ci.boot.lmf: Confidence intervals for class "boot.lmf"

In lmf: Functions for Estimation and Inference of Selection in Age-Structured Populations

Confidence intervals for class "boot.lmf"

Description

Constructs confidence intervals (CIs) for the bootstrapped parameters in an object of class "boot.lmf".

Usage

ci.boot.lmf(x, clevel = 0.05)

Arguments

x	an object of class "boot.lmf".
clevel	the confidence level required.

Details

ci.boot.lmf construct confidence intervals (CIs) from the quantiles of the bootstrap replicates and uses the function quantile.

See Engen et al. 2012 for details on the method for estimating and bootstrapping the parameters.

Value

ci.boot.lmf returns a list containing the following components:

call	the matched call.
nboot	the number of bootstrap replicates generated.
what	which set of parameters which has been to bootstrapped. See ?boot.lmf for details.
clevel	the confidence level specified.
uage	the unique age classes in the data set.
nage	the number of unique age classes in the data set.
l	CI for the projection matrix.
luv	CI for λ, u and v.
sigma2.dj	CI for the demographic variance for each age class.
sigma2.d	CI for the total demographic variance
M	CI for the estimated temporal covariance matrix.
aM	CI for the estimated temporal mean coefficients of selection
sigma2.e	CI for the environmental variance
Anf	CI for the estimated temporal covariance matrix assuming no fluctuating selection.
anf	CI for the estimated temporal mean selection coefficients assuming no fluctuating selection.

Author(s)

Thomas Kvalnes

References

Engen, S., Saether, B.-E., Kvalnes, T. and Jensen, H. 2012. Estimating fluctuating selection in age-structured populations. Journal of Evolutionary Biology, 25, 1487-1499.

See Also

lmf, boot.lmf, quantile

Examples

#Data set from Engen et al. 2012
data(sparrowdata)
#Fit model
lmf.1 <- lmf(formula = cbind(recruits, survival) ~ weight + tars,
               age = age, year = year, data = sparrowdata)
#Bootstrap parameters
b.1 <- boot.lmf(object = lmf.1, nboot = 10, sig.dj = TRUE,
 what = "all", asim = "parametric")
#Generate CI
ci.boot.lmf(b.1)

lmf documentation built on June 24, 2022, 5:06 p.m.