closedp.Mtb | R Documentation |
This function fits model Mtb for closed populations in capture-recapture experiments.
closedp.Mtb(X, dfreq=FALSE, method = "BFGS", ...) ## S3 method for class 'closedp.Mtb' print(x, ...)
X |
The matrix of the observed capture histories (see |
dfreq |
A logical. By default |
method |
The method to be used by |
... |
Further arguments to be passed to |
x |
An object, produced by the |
The Mtb model is non-linear. It is fitted with the optim
function instead of the glm
function. Therefore, the abundance estimate can be unstable.
For the model to be identifiable, the parameters are constrained in the following way: logit(ci)=logit(pi)+b for i in 2,…,l.
n |
The number of captured units |
t |
The total number of capture occasions in the data matrix |
results |
A table containing, for the fitted model:
|
optim |
The output produced by |
optim.warn |
A vector of character strings. If the |
parMtb |
Capture-recapture parameters estimates for model Mtb : the abundance N, p1 to pt, the probabilities of first capture for each capture occasion, and c2 to ct, the recapture probabilities for each capture occasion. |
Louis-Paul Rivest Louis-Paul.Rivest@mat.ulaval.ca and Sophie Baillargeon
Baillargeon, S. and Rivest, L.P. (2007) Rcapture: Loglinear models for capture-recapture in R. Journal of Statistical Software, 19(5), doi: 10.18637/jss.v019.i05.
closedp
, closedpCI.t
# hare data set closedp.Mtb(hare) ## Example producing an unstable estimate # Fourth primary period of mvole data set period4 <- mvole[, 16:20] closedp.Mtb(period4)
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