asbio (version 0.3-1)

km: Kaplan-Meier survivorship.

Description

Calculates survivorship for individuals in a population over time based on the method of Kaplan-Meier; cf. Pollock et al. (1989).

Usage

km(r, d, var = "O", conf = 0.95,age.seq=seq(1,length(r)),
ylab="Pr(survivorship from 1st age class)",xlab="Age class", ...)

Arguments

r

Numbers of individuals at risk in each age or time class.

d

Vector of the number of deaths in each age or time class.

var

Type of procedure used to calculate variance in confidence intervals "O" = Oakes, "G" = Greenwood.

conf

Level of confidence for confidence interval calculations; 1 - P(type I error)

age.seq

A sequence of numbers indicating the age classes used.

ylab

Y-axis label.

xlab

X-axis label.

...

Additional arguments from plot.

Value

• Returns a list with the following components
• s.hat
  A vector of estimated survivorship probabilities from the 1st age class onward.
• Greenwood.Var
  The estimated Greenwood variance for each age class.
• Oakes.Var
  The estimated Oakes variance for each age class.
• CI
  Upper and lower confidence bound to the true survivorship.

Details

Details for this index are given in Pollock et al. (1989).

References

Pollock, K. H., Winterstein, S. R., and Curtis, P. D. (1989) Survival analysis in telemetry studies: the staggered entry design. Journal of wildlife Management. 53(1):7-1.

Examples

##Example from Pollock (1989)
r<-c(18,18,18,16,16,16,15,15,13,10,8,8,7)
d<-c(0,0,2,0,0,1,0,1,1,1,0,0,0)

km(r,d)