通过`density.ppp`向内核函数发出粘贴参数 [英] Issue pasing arguments to kernel functions through `density.ppp`

问题描述

我目前正在与 density.ppp 函数，并使用我自己设计的不同内核函数调用它. 为此，我需要通过... arglist通过density.ppp将一些参数传递给我的内核函数.

I am currently working intensively with the density.ppp function, calling it with different kernel functions of my own design. For this, I need to pass some arguments through density.ppp to my kernel functions via the ... arglist.

在一种情况下，这是行不通的，即如果我想通过边缘校正来计算at = "points".

There is one case in which this does not work, namely if I want to calculate at = "points" with edge correction.

在densitypointsengine中说

# evaluate edge correction weights at points 
  if(edge) {
    win <- x$window
    if(isgauss && is.null(varcov) && win$type == "rectangle") {
      # evaluate Gaussian probabilities directly
      xr <- win$xrange
      yr <- win$yrange
      xx <- x$x
      yy <- x$y
      xprob <-
        pnorm(xr[2L], mean=xx, sd=sigma) - pnorm(xr[1L], mean=xx, sd=sigma)
      yprob <-
        pnorm(yr[2L], mean=yy, sd=sigma) - pnorm(yr[1L], mean=yy, sd=sigma)
      edgeweight <- xprob * yprob
    } else {
      edg <- second.moment.calc(x, sigma=sigma,
                                kernel=kernel,
                                scalekernel=scalekernel,
                                what="edge", varcov=varcov)
      edgeweight <- safelookup(edg, x, warn=FALSE)
}

因此，这里对second.moment.calc的调用不支持...中隐藏的其他参数.

so here the call for second.moment.calc does not support additional parameters hidden in ....

我想知道这可能是错误，还是故意这样做.

I would like to know whether this might be a bug or if it is done this way on purpose.

推荐答案

这是一个错误.对second.moment.calc的调用中应该有一个....

This is a bug. There should be a ... in the call to second.moment.calc.

很快将在spatstat的开发版本中对其进行修复.

It will be fixed in the development version of spatstat shortly.

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