abundance {caribou} | R Documentation |
Post-calving method for caribou abundance estimation
Description
The function abundance
applies the methodology found in Rivest et al. (1998) for estimating
caribou abundance using postcalving aggregations detected by radio telemetry.
Usage
abundance(mat, n, model = c("H", "I", "T"), B, maxT.hat)
## S3 method for class 'abundance'
print(x,...)
Arguments
mat |
A matrix containing in the first column the number of radio-collared animals in the detected (photographed) groups and in the second column the corresponding size of the detected groups. |
n |
A numeric: the total number of active collars during the census. |
model |
A character string indicating the model to determine the probability that a group with
collared animals is detected |
B |
A numeric: a bound for the threshold model. |
maxT.hat |
A numeric: an upper bound used in the numerical computation of |
x |
An object, produced by the |
... |
Further arguments to be passed to methods (see |
Details
DETECTION MODELS
- homogeneity model (model="H"
):
p_i = r \mbox{ if } X_i \geq 1
- independence model (model="I"
):
p_i = 1-(r^{X_i})
- threshold model (model="T"
):
p_i = \left\{ \begin{array}{ll}
1 & \mbox{if } X_i \geq \mbox{\code{B}} \\
r & \mbox{if } 1 \leq X_i < \mbox{\code{B}} \end{array} \right.
where p_i
is the probability that a group with collared animals is detected,
X_i
is the number of radio-collared in the detected (photographed) groups and
r
is a parameter related to the probability of detection.
For the threshold model, B
is a bound given as a function's argument.
Value
mp |
The number of detected groups having radio-collared animals. |
xt |
The total number of radio-collared animals found in the detected groups. |
gnt |
The total number of animals counted in the detected groups. |
rr |
The estimated parameter related to the probability of detection. |
se_rr |
The estimated standard error of |
mat_pi |
A matrix containing a sorted copy of the input matrix |
T.hat |
The estimator for the total number of animals in a herd. |
se_T.hat |
The estimated standard error of |
loglikelihood |
The maximum value of the loglikelihood function for the detected model. |
randomness_test |
A vector with the statistic and the p-value of a score test for the randomness assumption available only for the homogeneity, independence and threshold model with B=2 or 3. |
call |
The function call (object of class "call"). |
Author(s)
Louis-Paul Rivest Louis-Paul.Rivest@mat.ulaval.ca and
Helene Crepeau Helene.Crepeau@mat.ulaval.ca and
Serge Couturier tuttu@videotron.ca and
Sophie Baillargeon Sophie.Baillargeon@mat.ulaval.ca
References
Rivest, L.-P., Couturier, S. and Crepeau, H. (1998). Statistical Methods for estimating caribou abundance using postcalving aggregations detected by radio telemetry. Biometrics, 54(3), 865-876.
See Also
Examples
data(GRH93)
abundance(GRH93, n=92) # default model="H"
abundance(GRH93, n=92, model="H")
abundance(GRH93, n=92, model="I")
abundance(GRH93, n=92, model="T", B=2)
abundance(GRH93, n=92, model="T", B=4)
abundance(GRH93, n=92, model="T", B=6)