问题描述
这是我的适合度测试:
(fm <- distsamp(~1 ~ndvi_avg,keyfun="hazard",umf))
# Function returning three fit-statistics.
fitstats <- function(fm) {
observed <- getY(fm@data)
expected <- fitted(fm)
resids <- residuals(fm)
sse <- sum(resids^2)
chisq <- sum((observed - expected)^2 / expected)
freeTuke <- sum((sqrt(observed) - sqrt(expected))^2)
out <- c(SSE=sse,Chisq=chisq,freemanTukey=freeTuke)
return(out)
}
(pb <- parboot(fm,fitstats,nsim=100,report=1))
我最多可以做 nsim=99,然后我尝试 nsim=100,结果如下:
> (pb <- parboot(fm,report=1))
t0 = 103.385 540.1714 70.38591
Running in parallel on 3 cores. Bootstrapped statistics not reported.
我想知道这是未标记包中的错误吗?
解决方法
在 parallel = FALSE
中尝试 parboot()
。
文档:https://www.rdocumentation.org/packages/unmarked/versions/1.1.0/topics/parboot