predict.ascr: Extract density estimates given a set of covariate values
In b-steve/ascr: Acoustic spatial capture-recapture

predict.ascr

R Documentation

Extract density estimates given a set of covariate values

Extracts density estimates from a set of supplied parameter values.

## S3 method for class 'ascr'
predict(
  object,
  newdata = NULL,
  se.fit = FALSE,
  use.log = FALSE,
  set.zero = NULL,
  ...
)

`object`	A fitted model from fit.ascr.
`newdata`	An optional data frame in which to look for variables with which to estimate density. If omitted, the function will return the estimated densities at the mask points.
`se.fit`	A switch indicating if standard errors are required. At present, this will only work if `newdata` is also provided.
`use.log`	If `TRUE`, density estimates and standard errors (if calculated) are provided on the log scale.
`set.zero`	Indices for effects to ignore. For example, `set.zero = c(1, 3)` will set the first (probably an intercept) and third terms in the linear predictor to zero when calculating the predictions.
`...`	Other parameters (for S3 generic compatibility).