sample_ddf: Generate data from a fitted detection function and refit the...
In mrds: Mark-Recapture Distance Sampling
sample_ddf R Documentation
Generate data from a fitted detection function and refit the model
Description
Generate data from a fitted detection function and refit the model
Usage
sample_ddf(ds.object)
Arguments
ds.object
a fitted detection function object
Note
This function changes the random number generator seed. To avoid any
potential side-effects, use something like: seed <-
get(".Random.seed",envir=.GlobalEnv) before running code and
assign(".Random.seed",seed,envir=.GlobalEnv) after.
Author(s)
David L. Miller
mrds documentation built on July 9, 2023, 6:06 p.m.
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| sample_ddf | R Documentation |
Generate data from a fitted detection function and refit the model
Description
Generate data from a fitted detection function and refit the model
Usage
sample_ddf(ds.object)
Arguments
ds.object |
a fitted detection function object |
Note
This function changes the random number generator seed. To avoid any
potential side-effects, use something like: seed <-
get(".Random.seed",envir=.GlobalEnv) before running code and
assign(".Random.seed",seed,envir=.GlobalEnv) after.
Author(s)
David L. Miller
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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