DiggleGatesStibbard(spatstat)
DiggleGatesStibbard()所属R语言包：spatstat
Diggle-Gates-Stibbard Point Process Model
Diggle，的盖茨Stibbard点的过程模型
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Creates an instance of the Diggle-Gates-Stibbard point process model which can then be fitted to point pattern data.
创建的Diggle，的盖茨Stibbard点的过程模型，然后可以安装在指向图形数据的一个实例。
用法----------Usage----------
DiggleGatesStibbard(rho)
参数----------Arguments----------
参数：rho
Interaction range
互动范围
Details
详细信息----------Details----------
Diggle, Gates and Stibbard (1987) proposed a pairwise interaction point process in which each pair of points separated by a distance d contributes a factor e(d) to the probability density, where
Diggle，盖茨和Stibbard，等（1987）提出一对相互作用的过程中，每对点分隔的距离d贡献的一个因素e(d)的概率密度，其中
for d < rho, and e(d) is equal to 1 for d >= rho.
为d < rho和e(d)是等于1d >= rho的。
The function ppm(), which fits point process models to point pattern data, requires an argument of class "interact" describing the interpoint interaction structure of the model to be fitted. The appropriate description of the Diggle-Gates-Stibbard pairwise interaction is yielded by the function DiggleGatesStibbard(). See the examples below.
的功能ppm()，适合点模式数据点过程模型，需要一个参数的类"interact"描述INTERPOINT互动结构的模型被安装。适当的描述Diggle盖茨Stibbard对相互作用产生的功能DiggleGatesStibbard()。请参见下面的例子。
Note that this model does not have any regular parameters (as explained in the section on Interaction Parameters in the help file for ppm). The parameter rho is not estimated by ppm.
请注意，这种模式没有任何常规参数（如相互作用参数在帮助文件中的部分解释为ppm“）。参数rho估计ppm。
值----------Value----------
An object of class "interact" describing the interpoint interaction structure of the Diggle-Gates-Stibbard process with interaction range rho.
类的一个对象"interact"描述的Diggle，的盖茨Stibbard过程的互动范围rhoINTERPOINT互动结构。
（作者）----------Author(s)----------
Adrian Baddeley
<a href="mailto:Adrian.Baddeley@csiro.au">Adrian.Baddeley@csiro.au</a>
<a href="http://www.maths.uwa.edu.au/~adrian/">http://www.maths.uwa.edu.au/~adrian/</a>
and Rolf Turner
<a href="mailto:r.turner@auckland.ac.nz">r.turner@auckland.ac.nz</a>
参考文献----------References----------
Practical maximum pseudolikelihood for spatial point patterns. Australian and New Zealand Journal of Statistics 42, 283–322.
Spatial statistics. John Wiley and Sons.
A nonparametric estimator for pairwise-interaction point processes. Biometrika 74, 763 – 770. Scandinavian Journal of Statistics 21, 359–373.
参见----------See Also----------
ppm, pairwise.family, DiggleGratton, rDGS, ppm.object
ppm，pairwise.family，DiggleGratton，rDGS，ppm.object
实例----------Examples----------
DiggleGatesStibbard(0.02)
# prints a sensible description of itself[打印本身就是一个明智的描述]
data(cells)
## Not run: [＃不运行：]
ppm(cells, ~1, DiggleGatesStibbard(0.05))
# fit the stationary D-G-S process to `cells'[适合固定的D-G-S的过程单元]
## End(Not run)[＃（不执行）]
ppm(cells, ~ polynom(x,y,3), DiggleGatesStibbard(0.05))
# fit a nonstationary D-G-S process[适合非平稳D-G-S的过程]
# with log-cubic polynomial trend[数三次多项式趋势]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 13:22:50
