nfs {lmf}

Estimate temporal coefficients of selection assuming no fluctuating selection

Description

nfs is a function which estimates the temporal covariance matrix and the temporal mean alpha coefficients (i.e. directional selection) under the assumption of no fluctuating selection.

Usage

nfs(At, at, npar, nyear)

Arguments

At

a list containing the named yearly variance-covariance matrices. Sorted by year.

at

a list containing the named yearly vectors of the estimated selection coefficients. Sorted by year.

npar

the number of parameters in the model for the estimates selection coefficients.

nyear

the number of years with estimates of selection.

Details

nfs is used internally in lmf when estimating temporal mean coefficients of selection under the assumption of no fluctuating selection, but given the right data can be executed as a standalone. The input to the arguments At and at are estimated within lmf by correctly combining estimates of coefficients and variance-covariance within each age class and year to a estimate for each year.

Engen et al. 2012 describe the method in details.

Value

nfs returns a list containing the following components:

Anf

the estimated temporal covariance matrix under the assumption of no flucutating selection.

anf

the estimated temporal mean selection coefficients under the assumption of 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, fs

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)
#Extract At and at
At <- lmf.1$At
at <- lmf.1$at
#Estimate temporal selection coefficients under the assumption of no
  #fluctuating selection
noflusel <- nfs(At = At, at = at, npar = 3, nyear = 7)
#View output
str(noflusel)
noflusel