logisticbyx: Logistic as a function of covariates
In mrds: Mark-Recapture Distance Sampling
logisticbyx R Documentation
Logistic as a function of covariates
Description
treats logistic as a function of covariates; for a given covariate
combination it computes function at with those covariate values at a
range of distances
Usage
logisticbyx(distance, x, models, beta, point)
Arguments
distance
vector of distance values
x
covariate data
models
model list
beta
logistic parameters
point
TRUE if a point transect model
Value
vector of probabilities
Author(s)
Jeff Laake
mrds documentation built on July 9, 2023, 6:06 p.m.
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| logisticbyx | R Documentation |
Logistic as a function of covariates
Description
treats logistic as a function of covariates; for a given covariate combination it computes function at with those covariate values at a range of distances
Usage
logisticbyx(distance, x, models, beta, point)
Arguments
distance |
vector of distance values |
x |
covariate data |
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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