collate: Array of Parameter Estimates

In secr: Spatially Explicit Capture-Recapture

Array of Parameter Estimates

Description

Estimates from one or more openCR models are formed into an array.

Usage

## S3 method for class 'secr'
collate(object, ..., realnames = NULL, betanames = NULL, newdata = NULL, 
    alpha = 0.05, perm = 1:4, fields = 1:4)

## S3 method for class 'ipsecr'
collate(object, ..., realnames = NULL, betanames = NULL, newdata = NULL, 
    alpha = 0.05, perm = 1:4, fields = 1:4)

## S3 method for class 'secrlist'
collate(object, ..., realnames = NULL, betanames = NULL, newdata = NULL, 
    alpha = 0.05, perm = 1:4, fields = 1:4)

Arguments

object	secr or secrlist object
...	other secr objects
realnames	character vector of real parameter names
betanames	character vector of beta parameter names
newdata	optional dataframe of values at which to evaluate models
alpha	alpha level for confidence intervals
perm	permutation of dimensions in output from collate
fields	vector to restrict summary fields in output

Details

collate extracts parameter estimates from a set of fitted secr model objects.

fields may be used to select a subset of summary fields ("estimate","SE.estimate","lcl","ucl") by name or number.

Value

A 4-dimensional array of model-specific parameter estimates. By default, the dimensions correspond respectively to

• rows in newdata (usually sessions),

• models,

• statistic fields (estimate, SE.estimate, lcl, ucl), and

• parameters ("phi", "sigma" etc.).

It often helps to reorder the dimensions with the perm argument.

See Also

modelAverage, secr.fit

Examples

collate (secrdemo.0, secrdemo.b, perm = c(4,2,3,1))[,,1,]

secr documentation built on Nov. 4, 2024, 9:06 a.m.