explogarithmic(VGAM)
explogarithmic()所属R语言包:VGAM
Exponential Logarithmic Distribution Family Function
指数对数分布的家庭功能
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Estimates the two parameters of the exponential logarithmic distribution by maximum likelihood estimation.
估计指数对数分布的两个参数的最大似然估计。
用法----------Usage----------
explogarithmic(lscale = "loge", lshape = "logit", escale = list(),
eshape = list(), iscale = NULL, ishape = NULL,
tol12 = 1e-05, zero = 1, nsimEIM = 400)
参数----------Arguments----------
参数:lscale, lshape, escale, eshape
See CommonVGAMffArguments for information.
见CommonVGAMffArguments的信息。
参数:tol12
Numeric. Tolerance for testing whether a parameter has value 1 or 2.
数字。公差测试参数是否有值1或2。
参数:iscale, ishape, zero, nsimEIM
See CommonVGAMffArguments.
见CommonVGAMffArguments。
Details
详细信息----------Details----------
The exponential logarithmic distribution has density function
指数对数分布的密度函数
where y > 0, scale parameter c > 0, and shape parameter 0 < s < 1. The mean, ((-polylog(2, 1 - p) * c) / log(s) is not returned as the fitted values. Note the median is c * log(1 + sqrt(s)) and it is currently returned as the fitted values. Simulated Fisher scoring is implemented.
y > 0,规模参数c > 0,和形状参数0 < s < 1。平均((-polylog(2, 1 - p) * c) / log(s)是不返回的拟合值。请注意,中位数是c * log(1 + sqrt(s))和它目前的拟合值返回。模拟费舍尔得分的实现。
值----------Value----------
An object of class "vglmff" (see vglmff-class). The object is used by modelling functions such as vglm and vgam.
类的一个对象"vglmff"(见vglmff-class)。该对象被用于建模功能如vglm和vgam。
注意----------Note----------
We define scale as the reciprocal of the rate parameter used by Tahmasabi and Sadegh (2008).
我们定义“scale的速度参数,用于由Tahmasabi和萨德克(2008)的倒数。
Yet to do: find a polylog() function.
然而,做一个polylog()函数。
(作者)----------Author(s)----------
J. G. Lauder and T. W .Yee
参考文献----------References----------
A two-parameter lifetime distribution with decreasing failure rate. Computational Statistics and Data Analysis, 52, 3889–3901.
参见----------See Also----------
dexplog, exponential,
dexplog,exponential,
实例----------Examples----------
scale = exp(2); shape = logit(-1, inverse = TRUE);
edata = data.frame(y = rexplog(n = 2000, scale = scale, shape = shape))
fit = vglm(y ~ 1, explogarithmic, edata, trace = TRUE)
c(with(edata, median(y)), head(fitted(fit), 1))
coef(fit, matrix = TRUE)
Coef(fit)
summary(fit)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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