km {asbio}  R Documentation 
KaplanMeier survivorship.
Description
Calculates survivorship for individuals in a population over time based on the method of KaplanMeier; cf. Pollock et al. (1989).
Usage
km(r, d, var = "O", conf = 0.95, age.seq=seq(1,length(r)),
ylab = "Survivorship", xlab = "Age class", type = "b",
plot.km = TRUE, plot.CI = TRUE, ...)
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 
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 
Yaxis label. 
xlab 
Xaxis label. 
type 

plot.km 
Logical. Should plot be created? 
plot.CI 
Logical. Should confidence interval be overlaid on plot? 
... 
Additional arguments from 
Details
Details for this index are given in Pollock et al. (1989).
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. 
Author(s)
Ken Aho
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):71.
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)