Treats logistic for duplicates as a function of covariate z; for a given z
it computes the function at with those covariate values at a range of
distances.
Usage
logisticdupbyx(distance, x1, x2, models, beta, point)
Arguments
- distance
vector of distance values
- x1
covariate data for fct 1
- x2
covariate data for fct 2
- models
model list
- beta
logistic parameters
- point
TRUE for point transect data
Value
vector of probabilities