logisticdupbyx: Logistic for duplicates as a function of covariates
In mrds: Mark-Recapture Distance Sampling
View source: R/logisticdupbyx.R
logisticdupbyx R Documentation
Logistic for duplicates as a function of covariates
Description
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
Author(s)
Jeff Laake
mrds documentation built on May 29, 2024, 3:56 a.m.
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View source: R/logisticdupbyx.R
| logisticdupbyx | R Documentation |
Logistic for duplicates as a function of covariates
Description
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 |
|
Value
vector of probabilities
Author(s)
Jeff Laake
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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