BadGey(spatstat)
BadGey()所属R语言包：spatstat
Hybrid Geyer Point Process Model
混合盖尔点过程模型
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Creates an instance of the Baddeley-Geyer point process model, defined as a hybrid of several Geyer interactions. The model can then be fitted to point pattern data.
创建一个实例灸手可热的盖尔点过程模型，定义为几个Geyer的相互作用的混合。该模型然后可以嵌合点图案数据。
用法----------Usage----------
BadGey(r, sat)
参数----------Arguments----------
参数：r
vector of interaction radii
向量的互动半径的
参数：sat
vector of saturation parameters, or a single common value of saturation parameter
向量的饱和度参数，或一个单一的共同参数的饱和度的值
Details
详细信息----------Details----------
This is Baddeley's generalisation of the Geyer saturation point process model, described in Geyer, to a process with multiple interaction distances.
这是灸手可热的泛化Geyer的饱和点过程模型，描述在Geyer，多重作用距离的过程。
The BadGey point process with interaction radii r[1], ..., r[k], saturation thresholds s[1],...,s[k], intensity parameter beta and interaction parameters gamma[1], ..., gamma[k], is the point process in which each point x[i] in the pattern X contributes a factor
BadGey点过程与互动半径r[1], ..., r[k]，饱和阈值s[1],...,s[k]，强度参数beta和互动参数gamma[1], ..., gamma[k]，是点的过程中，每个点x[i]在模式X贡献的一个因素
to the probability density of the point pattern, where
的概率密度的点图案，其中
where t(j,x[i],X) denotes the number of points in the pattern X which lie within a distance r[j] from the point x[i].
其中t(j,x[i],X)表示的点的数量在模式中的距离内Xr[j]位于从点x[i]。
BadGey is used to fit this model to data. 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 piecewise constant Saturated pairwise interaction is yielded by the function BadGey(). See the examples below.
BadGey使用，以适应这一模型的数据。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。分段常数饱和对相互作用产生的功能BadGey()适当的描述。请参见下面的例子。
The argument r specifies the vector of interaction distances. The entries of r must be strictly increasing, positive numbers.
参数r指定矢量的作用距离。 r的条目必须严格递增的，正数。
The argument sat specifies the vector of saturation parameters that are applied to the point counts t(j,x[i],X). It should be a vector of the same length as r, and its entries should be nonnegative numbers. Thus sat[1] is applied to the count of points within a distance r[1], and sat[2] to the count of points within a distance r[2], etc. Alternatively sat may be a single number, and this saturation value will be applied to every count.
参数sat指定的向量饱和度等参数的计算t(j,x[i],X)。它应该是一个向量作为r具有相同的长度，和其条目应该非负数。因此sat[1]被施加到的计数点的距离内r[1]，和sat[2]的计数点的距离内r[2]等或者sat可以是一个单一的数字，此饱和度值，将被应用到每一个计数。
Infinite values of the saturation parameters are also permitted; in this case v(j, x_i, X) = t(j, x_i, X) and there is effectively no "saturation" for the distance range in question. If all the saturation parameters are set to Inf then the model is effectively a pairwise interaction process, equivalent to PairPiece (however the interaction parameters gamma obtained from BadGey have a complicated relationship to the interaction parameters gamma obtained from PairPiece).
无穷大值的饱和度等参数也被允许，在这种情况下，v(j, x_i, X) = t(j, x_i, X)和有有效地没有“饱和”的距离的范围内的问题。如果所有的饱和度等参数都设置为Inf模型是有效的对相互作用的过程，相当于PairPiece（不过的相互作用参数gamma获得BadGey的有一个复杂的关系的相互作用参数gamma获得从PairPiece）。
If r is a single number, this model is virtually equivalent to the Geyer process, see Geyer.
如果r是一个单一的数字，这种模式实际上相当于Geyer的过程，请参阅Geyer。
值----------Value----------
An object of class "interact" describing the interpoint interaction structure of a point process.
类的一个对象"interact"描述INTERPOINT互动结构的点处理。
（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>
in collaboration with Hao Wang and Jeff Picka
参见----------See Also----------
ppm, pairsat.family, Geyer, PairPiece, SatPiece
ppm，pairsat.family，Geyer，PairPiece，SatPiece
实例----------Examples----------
BadGey(c(0.1,0.2), c(1,1))
# prints a sensible description of itself[打印本身就是一个明智的描述]
BadGey(c(0.1,0.2), 1)
data(cells)
# fit a stationary Baddeley-Geyer model[适合固定巴德利盖尔模型]
ppm(cells, ~1, BadGey(c(0.07, 0.1, 0.13), 2))
# nonstationary process with log-cubic polynomial trend[非平稳过程的log三次多项式趋势]
## Not run: [＃不运行：]
ppm(cells, ~polynom(x,y,3), BadGey(c(0.07, 0.1, 0.13), 2))
## End(Not run)[＃（不执行）]
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。
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发表于 2012-9-30 13:12:22
