Description Arguments Details Value Method Authors Examples

predict.archetype

` object ` |
a model object returned from SpeciesMix |

` new.obs` |
covariate data at new locations for predictions. Must be a data frame with same row names as in the model formula |

` ... ` |
further arguments passed to or from other methods. |

predicts probability of occurance at new location with standard errors calculated using delta method

` fit` |
predicted probability of presence |

` se.fit` |
standard error of fit |

predict(object, new.obs,...)

Piers Dunstan and Scott Foster

1 2 3 4 5 6 7 8 9 | ```
G <-4
S <- 50
theta <- matrix(c(-9,35,-32,0,0.7,0,-16,23,-8.2,-3,-0.6,0.8),4,3,byrow=TRUE)
dat <- data.frame(y=rep(1,200),x=runif(200,0,2.5),z=rnorm(200,10,2))
dat <- data.frame(dat,x.sq=dat$x^2)
dat1 <- artificial.data(y~1+x+x.sq,dat,theta,S)
fm4 <- SpeciesMix(obs~1+x+x.sq,dat1$pa,dat,G=4,em.prefit=TRUE,em.refit=1,est.var=TRUE)
new.obs <- data.frame(x=seq(0,2.5,0.01),x.sq=seq(0,2.5,0.01)^2)
predict(fm4,new.obs)
``` |

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