psstG(spatstat)
psstG()所属R语言包：spatstat
Pseudoscore Diagnostic For Fitted Model against Saturation Alternative
Pseudoscore诊断为拟合模型的对饱和替代的
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Given a point process model fitted to a point pattern dataset, this function computes the pseudoscore diagnostic of goodness-of-fit for the model, against moderately clustered or moderately inhibited alternatives of saturation type.
给定一个点过程模型安装阵列点数据集，此功能计算的pseudoscore的诊断善良适合的模型，饱和度的根据适度聚集或适度抑制的替代品。
用法----------Usage----------
psstG(object, r = NULL, breaks = NULL, ...,
trend = ~1, interaction = Poisson(), rbord = reach(interaction),
truecoef = NULL, hi.res = NULL)
参数----------Arguments----------
参数：object
Object to be analysed. Either a fitted point process model (object of class "ppm") or a point pattern (object of class "ppp") or quadrature scheme (object of class "quad").
对象，以进行分析。一个安装点过程模型（对象类"ppm"）或阵列点（类"ppp"）或正交计划（对象的类的对象"quad"）。
参数：r
Optional. Vector of values of the argument r at which the diagnostic should be computed. This argument is usually not specified. There is a sensible default.
可选。向量参数的值r的诊断应计算。这种说法是没有规定。有一个合理的默认。
参数：breaks
Optional alternative to r for advanced use.
可选替代r先进的。
参数：...
Ignored.
忽略。
参数：trend,interaction,rbord
Optional. Arguments passed to ppm to fit a point process model to the data, if object is a point pattern. See ppm for details.
可选。参数传递给ppm，以适应一个点过程模型的数据，如果object是一个点模式。见ppm的详细信息。
参数：truecoef
Optional. Numeric vector. If present, this will be treated as if it were the true coefficient vector of the point process model, in calculating the diagnostic. Incompatible with hi.res.
可选。数字矢量。如果有的话，这将被视为是真正的系数向量的点过程模型，计算诊断。不相容的hi.res。
参数：hi.res
Optional. List of parameters passed to quadscheme. If this argument is present, the model will be re-fitted at high resolution as specified by these parameters. The coefficients of the resulting fitted model will be taken as the true coefficients. Then the diagnostic will be computed for the default quadrature scheme, but using the high resolution coefficients.
可选。参数传递给quadscheme。如果这种说法是存在的，该模型将被重新安装在高分辨率所指定这些参数。所得拟合模型的系数将被视为真正的系数。然后诊断将默认的正交计划计算，但使用高分辨率的系数。
Details
详细信息----------Details----------
This function computes the pseudoscore test statistic which can be used as a diagnostic for goodness-of-fit of a fitted point process model.
此函数计算pseudoscore的检验统计量可以用来作为诊断善良的适合的安装点过程模型。
Consider a point process model fitted to x, with conditional intensity lambda(u,x) at location u. For the purpose of testing goodness-of-fit, we regard the fitted model as the null hypothesis. The alternative hypothesis is a family of hybrid models obtained by combining the fitted model with the Geyer saturation process (see Geyer) with saturation parameter 1. The family of alternatives includes models that are more regular than the fitted model, and others that are more clustered than the fitted model.
考虑一个点过程模型，有条件的强度x到lambda(u,x)，在安装位置u。对于善良的适合的测试的目的，我们认为合适的模型作为零假设。另一种假设是一个家庭的混合动力车型，通过Geyer的饱和过程相结合的拟合模型（见Geyer），饱和度参数1。该系列的替代品，更经常的拟合模型，和其他多个聚类拟合模型的模型。
For any point pattern x, and any r > 0, let S(x,r) be the number of points in x whose nearest neighbour (the nearest other point in x) is closer than r units. Then the pseudoscore for the null model is
对于任何点模式x，和任何r > 0，让我们S(x,r)点x其最近的邻居（最近点x）接近r单位。然后为空模型的pseudoscore是
where the Delta operator is
Delta运营商
the difference between the values of S for the point pattern with and without the point u.
的值之间的差的S的点图案与未经点u。
According to the Georgii-Nguyen-Zessin formula, V(r) should have mean zero if the model is correct (ignoring the fact that the parameters of the model have been estimated). Hence V(r) can be used as a diagnostic for goodness-of-fit.
根据的Georgii阮Zessin的公式，V(r)应该是均值为零，如果该模型是正确的（忽略一个事实，即模型参数的估计）。因此V(r)可以被用来作为一个诊断善良的配合。
The diagnostic V(r) is also called the pseudoresidual of S. On the right hand side of the equation for V(r) given above, the sum over points of x is called the pseudosum and the integral is called the pseudocompensator.
诊断V(r)，也称为pseudoresidualS。的方程，在右手侧的V(r)上面给出的总和至点x被称为的pseudosum和积分被称为pseudocompensator。
值----------Value----------
A function value table (object of class "fv"), essentially a data frame of function values.
类的对象的函数值表（"fv"），本质上是一个数据框的函数值。
Columns in this data frame include dat for the pseudosum, com for the compensator and res for the pseudoresidual.
这个数据框中的列dat的pseudosum，，com的补偿和res的pseudoresidual，。
There is a plot method for this class. See fv.object.
有一个图，这个类的方法。见fv.object。
（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>
Ege Rubak and Jesper Moller.
参考文献----------References----------
Score, pseudo-score and residual diagnostics for spatial point process models. Statistical Science 26, 613–646.
参见----------See Also----------
Alternative functions: psstA, psst, Kres, Gres.
替代功能：psstA，psst，Kres，Gres。
实例----------Examples----------
X <- rStrauss(200,0.1,0.05)
plot(psstG(X))
plot(psstG(X, interaction=Strauss(0.05)))
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。
|
发表于 2012-9-30 14:02:32
