fit_colextfp: Fit dynamic occupancy models with false positives
In oliviergimenez/occuHMM: Fit occupancy data with hidden Markov models
Description
Usage
Arguments
Examples
Description
This function allows you to fit a dynamic occupancy model with false positives.
Data coding is as follows: 0 is for non-detection, 1 is for detection with no ambiguity, 2 is for detection with false positives possibly occurring.
Usage
1
fit_colextfp(data, init, nb_surveys, nb_seasons)
Arguments
data
matrix of detections/non-detections
init
vector of initial values
nb_surveys
number of surveys/visits
nb_seasons
number of seasons/years
Examples
1
vignette("colext_occuHMM")
oliviergimenez/occuHMM documentation built on May 24, 2019, 12:52 p.m.
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.
Description Usage Arguments Examples
Description
This function allows you to fit a dynamic occupancy model with false positives. Data coding is as follows: 0 is for non-detection, 1 is for detection with no ambiguity, 2 is for detection with false positives possibly occurring.
Usage
1 | fit_colextfp(data, init, nb_surveys, nb_seasons)
|
Arguments
data |
matrix of detections/non-detections |
init |
vector of initial values |
nb_surveys |
number of surveys/visits |
nb_seasons |
number of seasons/years |
Examples
1 | vignette("colext_occuHMM")
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.