Estimates from one or more openCR models are formed into an array.
# S3 method for secr
collate(object, ..., realnames = NULL, betanames = NULL, newdata = NULL,
alpha = 0.05, perm = 1:4, fields = 1:4)# S3 method for ipsecr
collate(object, ..., realnames = NULL, betanames = NULL, newdata = NULL,
alpha = 0.05, perm = 1:4, fields = 1:4)
# S3 method for secrlist
collate(object, ..., realnames = NULL, betanames = NULL, newdata = NULL,
alpha = 0.05, perm = 1:4, fields = 1:4)
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.
secr or secrlist object
other secr objects
character vector of real parameter names
character vector of beta parameter names
optional dataframe of values at which to evaluate models
alpha level for confidence intervals
permutation of dimensions in output from collate
vector to restrict summary fields in output
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.
modelAverage
, secr.fit
collate (secrdemo.0, secrdemo.b, perm = c(4,2,3,1))[,,1,]
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