Opt(VGAM)
Opt()所属R语言包:VGAM
Maxima
千里马
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Generic function for the optima (or optimums) of a model.
通用函数的最优解(最优)的模型。
用法----------Usage----------
Opt(object, ...)
参数----------Arguments----------
参数:object
An object for which the computation or extraction of an optimum (or optima) is meaningful.
计算或提取的最佳(OPTIMA)的对象是有意义的。
参数:...
Other arguments fed into the specific methods function of the model. Sometimes they are fed into the methods function for Coef.
其他参数送入的具体方法运作的模式。有时,他们被送入的方法功能为Coef。
Details
详细信息----------Details----------
Different models can define an optimum in different ways. Many models have no such notion or definition.
不同的模式可以定义一个最佳的方式不同。许多车型有没有这样的概念或定义。
Optima occur in quadratic and additive ordination, e.g., CQO or UQO or CAO. For these models the optimum is the value of the latent variable where the maximum occurs, i.e., where the fitted value achieves its highest value. For quadratic ordination models there is a formula for the optimum but for additive ordination models the optimum must be searched for numerically. If it occurs on the boundary, then the optimum is undefined. At an optimum, the fitted value of the response is called the maximum.
舰发生在二次和添加剂协调,例如,,CQO或UQO,或曹。对于这些模型的最佳是潜发生最大的变量,即,其中的拟合值达到其最高值的值。对于二次协调机型,是最佳的,但添加剂的协调模式的最佳数字必须寻找一个公式。如果它发生在边界上,则最佳的是未定义的。在一个最佳的,响应的拟合值被称为最大。
值----------Value----------
The value returned depends specifically on the methods function invoked.
返回的值取决于具体的函数被调用的方法。
注意----------Note----------
In ordination, the optimum of a species is sometimes called the species score.
一个物种的最佳协调,有时也被称为物种得分。
(作者)----------Author(s)----------
Thomas W. Yee
参考文献----------References----------
A new technique for maximum-likelihood canonical Gaussian ordination. Ecological Monographs, 74, 685–701.
Constrained additive ordination. Ecology, 87, 203–213.
参见----------See Also----------
Opt.qrrvglm, Max, Tol.
Opt.qrrvglm,Max,Tol。
实例----------Examples----------
set.seed(111) # This leads to the global solution[这将导致全球性的解决方案]
hspider[,1:6] = scale(hspider[,1:6]) # Standardized environmental vars[标准化的环境瓦尔]
# vvv p1 = cqo(cbind(Alopacce, Alopcune, Alopfabr, Arctlute, Arctperi,[VVV P1 = cqo(CBIND(Alopacce,Alopcune,Alopfabr,Arctlute,Arctperi]
# vvv Auloalbi, Pardlugu, Pardmont, Pardnigr, Pardpull,[VVV Auloalbi,Pardlugu,Pardmont,Pardnigr,Pardpull,]
# vvv Trocterr, Zoraspin) ~[VVV Trocterr,Zoraspin)~]
# vvv WaterCon + BareSand + FallTwig + CoveMoss + CoveHerb + ReflLux,[VVV WaterCon + BareSand + FallTwig + CoveMoss + CoveHerb + ReflLux,]
# vvv Bestof = 2,[VVV最妙= 2,]
# vvv fam = quasipoissonff, data = hspider, Crow1positive=FALSE)[VVV FAM = quasipoissonff,数据hspider,Crow1positive = FALSE)]
# vvv Opt(p1)[VVV OPT(P1)]
## Not run: [#不运行:]
index = 1:ncol(p1@y)
persp(p1, col=index, las=1, lwd=2, main="Vertical lines at the optima")
abline(v=Opt(p1), lty=2, col=index)
## 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:
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