Nothing
## ----echo=FALSE---------------------------------------------------------------
options(rmarkdown.html_vignette.check_title = FALSE)
## ---- echo=FALSE--------------------------------------------------------------
tab1 <- data.frame(
Model=c("Occupancy", "Royle-Nichols", "Point Count", "Distance-sampling",
"Generalized distance-sampling", "Arbitrary multinomial-Poisson",
"Colonization-extinction", "Generalized multinomial-mixture"),
`Fitting Function`=c("occu","occuRN","pcount","distsamp","gdistsamp",
"multinomPois","colext","gmultmix"),
Data=c("unmarkedFrameOccu","unmarkedFrameOccu","unmarkedFramePCount",
"unmarkedFrameDS","unmarkedFrameGDS","unmarkedFrameMPois",
"unmarkedMultFrame","unmarkedFrameGMM"),
Citation=c("@mackenzie_estimating_2002","@royle_estimating_2003",
"@royle_n-mixture_2004","@royle_modeling_2004",
"@chandlerEA_2011","@royle_generalized_2004",
"@mackenzie_estimating_2003","@royle_generalized_2004"),
check.names=FALSE)
knitr::kable(tab1, format='markdown', align="lccc",
caption="Table 1. Models handled by unmarked.")
## -----------------------------------------------------------------------------
library(unmarked)
wt <- read.csv(system.file("csv","widewt.csv", package="unmarked"))
y <- wt[,2:4]
siteCovs <- wt[,c("elev", "forest", "length")]
obsCovs <- list(date=wt[,c("date.1", "date.2", "date.3")],
ivel=wt[,c("ivel.1", "ivel.2", "ivel.3")])
wt <- unmarkedFrameOccu(y = y, siteCovs = siteCovs, obsCovs = obsCovs)
summary(wt)
## -----------------------------------------------------------------------------
wt <- csvToUMF(system.file("csv","widewt.csv", package="unmarked"),
long = FALSE, type = "unmarkedFrameOccu")
## -----------------------------------------------------------------------------
pcru <- csvToUMF(system.file("csv","frog2001pcru.csv", package="unmarked"),
long = TRUE, type = "unmarkedFrameOccu")
## -----------------------------------------------------------------------------
obsCovs(pcru) <- scale(obsCovs(pcru))
## -----------------------------------------------------------------------------
fm1 <- occu(~1 ~1, pcru)
fm2 <- occu(~ MinAfterSunset + Temperature ~ 1, pcru)
fm2
## -----------------------------------------------------------------------------
backTransform(fm2, 'state')
## -----------------------------------------------------------------------------
backTransform(linearComb(fm2, coefficients = c(1,0,0), type = 'det'))
## -----------------------------------------------------------------------------
newData <- data.frame(MinAfterSunset = 0, Temperature = -2:2)
round(predict(fm2, type = 'det', newdata = newData, appendData=TRUE), 2)
## ---- eval=FALSE--------------------------------------------------------------
# confint(fm2, type='det')
# confint(fm2, type='det', method = "profile")
## ---- echo=FALSE--------------------------------------------------------------
confint(fm2, type='det')
nul <- capture.output(ci <- confint(fm2, type='det', method = "profile"))
ci
## -----------------------------------------------------------------------------
fms <- fitList('psi(.)p(.)' = fm1, 'psi(.)p(Time+Temp)' = fm2)
modSel(fms)
predict(fms, type='det', newdata = newData)
## ---- warning=FALSE-----------------------------------------------------------
chisq <- function(fm) {
umf <- fm@data
y <- umf@y
y[y>1] <- 1
sr <- fm@sitesRemoved
if(length(sr)>0)
y <- y[-sr,,drop=FALSE]
fv <- fitted(fm, na.rm=TRUE)
y[is.na(fv)] <- NA
sum((y-fv)^2/(fv*(1-fv)), na.rm=TRUE)
}
(pb <- parboot(fm2, statistic=chisq, nsim=100, parallel=FALSE))
## -----------------------------------------------------------------------------
re <- ranef(fm2)
EBUP <- bup(re, stat="mode")
sum(EBUP) / numSites(pcru)
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