npregivderiv错误

在非常小（100 obs）的临时数据集上运行

npregivderiv

时，经过229次迭代（上网本上10-15分钟），我收到错误：

if（！any（mean.loo==maxPenal））中出错：{：缺少值，其中需要TRUE/FALSE

显然，对于多达20次的观测，它不会给出错误

这意味着什么？我如何使函数运行

以下是我使用的代码：

install.packages('np', dependencies = TRUE)

library(np)

mop = read.csv("c:/.../sht.csv")

trim <- 0.005

v <- mop$z
eps <- mop$w
u <- -0.5*v + eps
w <- mop$x
fun1 <- function(z) { z^2 }
fun2 <- function(z) { exp(-abs(z)) }
z <- 0.2*w + v
y1 <- fun1(z) + u
y2 <- fun2(z) + u
y <- y1
phi <- fun1
ivdata <- data.frame(y,z,w,u,v)
ivdata <- ivdata[order(ivdata$z),]
rm(y,z,w,u,v)
attach(ivdata)
model.ivderiv <- npregivderiv(y=y,z=z,w=w)
ylim <-c(quantile(model.ivderiv$phi.prime,trim),
quantile(model.ivderiv$phi.prime,1-trim))
plot(z,model.ivderiv$phi.prime,
xlim=quantile(z,c(trim,1-trim)),
main="",
ylim=ylim,
xlab="Z",
ylab="Derivative",
type="l",
lwd=2)
rug(z)
## End(Not run)

---

你能做一个可复制的例子吗（）？非常感谢你的回复！就我在我的电脑上试过的情况而言，它应该可以简单地运行（并产生所说的错误）。

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