SSlogis(stats)
SSlogis()所属R语言包:stats
Self-Starting Nls Logistic Model
免入息审查贷款计划自启动Logistic模型
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This selfStart model evaluates the logistic function and its gradient. It has an initial attribute that creates initial estimates of the parameters Asym, xmid, and scal.
这selfStart模型计算逻辑函数及其梯度。 initial属性创建参数的初步估计Asym,xmid,scal。
用法----------Usage----------
SSlogis(input, Asym, xmid, scal)
参数----------Arguments----------
参数:input
a numeric vector of values at which to evaluate the model.
的价值评估模型的数字向量。
参数:Asym
a numeric parameter representing the asymptote.
一个数字参数,代表渐近。
参数:xmid
a numeric parameter representing the x value at the inflection point of the curve. The value of SSlogis will be Asym/2 at xmid.
一个数字代表x在曲线的拐点值的参数。 值SSlogisAsym/2xmid。
参数:scal
a numeric scale parameter on the input axis.
上input轴的数值尺度参数。
值----------Value----------
a numeric vector of the same length as input. It is the value of the expression Asym/(1+exp((xmid-input)/scal)). If all of the arguments Asym, xmid, and scal are names of objects the gradient matrix with respect to these names is attached as an attribute named gradient.
一个相同的长度为input数字向量。这是价值表达Asym/(1+exp((xmid-input)/scal))。如果所有的参数Asym,xmid,scal对象名称这些名称的梯度矩阵附加属性名为gradient。
作者(S)----------Author(s)----------
Jos |