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44 lines
1.6 KiB
R
44 lines
1.6 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/R-PRES.r
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\name{predict.occMod}
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\alias{predict.occMod}
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\title{Predict real parameter values.}
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\usage{
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\method{predict}{occMod}(object, newdata, param = NULL, conf = 0.95)
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}
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\arguments{
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\item{object}{and object of class \code{occMod} which is the model that has been fitted to
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the data from which predictions are required. The result of a call to \code{\link{occMod}}.}
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\item{newdata}{a data frame containing the values of the variables for which predictions are
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required. Variable names must exactly match those used in the fitted model. May contain
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additional variables not used in the fitted model.}
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\item{param}{a string containing the name of the real parameter for which predictions
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are required, e.g., \code{type="psi"}.}
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\item{conf}{level for confidence interval (may be vector valued).}
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}
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\value{
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returns a data frame containing the predicted value, standard error and limits of a
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95\% confidence interval.
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}
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\description{
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Predict real parameter values from a model that has been fitted to the data, using the
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variable or covariates values that are supplied by the user. \bold{Currently has only been coded
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to predict probabilities and checked for the static, or single-season, occupancy model.}
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}
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\details{
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Note that can not make predictions directly from models that have been imported from a PRESENCE
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project using the \code{\link{importProject}} function.
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}
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\examples{
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psi.real=predict(mod1,salmdr.data$survcov,param="psi",conf=0.95); print(head(psi.real))
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}
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\seealso{
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\code{\link{occMod}}
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}
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\author{
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Darryl MacKenzie
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}
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