Rcapture-package: Loglinear Models in Capture-Recapture Experiments
Description
Estimation of abundance and other demographic parameters for closed populations, open populations and the robust design in capture-recapture experiments using loglinear models.Details
ll{
Package: Rcapture
Type: Package
Version: 1.1
Date: 2008-01-28
License: GPL
}References
Baillargeon, S. and Rivest, L.P. (2007). Rcapture: Loglinear models for capture-recapture in R. Journal of Statistical Software, 19(5), http://www.jstatsoft.org/
Chao, A. (1987). Estimating the population size for capture-recapture data with unequal catchability. Biometrics, 43(4), 783--791.
Cormack, R. M. (1985). Example of the use of glim to analyze capture-recapture studies. In Lecture Notes in Statistics 29: Statistics in Ornithology, Morgan, B. et North, P. editors, Springer-Verlag, New York, 242--274.
Cormack, R. M. (1989). Log-linear models for capture-recapture. Biometrics, 45, 395--413.
Cormack, R. M. (1992). Interval estimation for mark-recapture studies of closed populations. Biometrics, 48, 567--576.
Cormack, R. M. (1993). Variances of mark-recapture estimates. Biometrics, 49, 1188--1193.
Cormack, R. M. and Jupp, P. E. (1991). Inference for Poisson and multinomial models for capture-recapture experiments. Biometrika, 78(4), 911--916.
Rivest, L.P. and Levesque, T. (2001). Improved log-linear model estimators of abundance in capture-recapture experiments. Canadian Journal of Statistics, 29, 555--572.
Rivest, L.P. and Daigle, G. (2004). Loglinear models for the robust design in mark-recapture experiments. Biometrics, 60, 100--107.
Rivest, L.P. and Baillargeon, S. (2007). Applications and extensions of Chao's moment estimator for the size of a closed population. Biometrics, 63(4), 999--1006.
Rivest, L.P. (2008). Why a time effect often has a limited impact on capture-recapture estimates in closed populations. Canadian Journal of Statistics, 36(1), to be published.