print.latent(SpatialExtremes)
print.latent()所属R语言包：SpatialExtremes
Printing objects of class “latent”
打印对象的类“潜伏”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A method for printing object of class “maxstab”.
为打印的类“maxstab”对象的方法。
用法----------Usage----------
## S3 method for class 'latent'
print(x, digits = max(3, getOption("digits") - 3),
..., level = 0.95)
参数----------Arguments----------
参数：x
An object of class “latent”. Most often, x is the output of the latent function.
对象类“潜伏”。大多数情况下，x是的输出latent功能。
参数：digits
The number of digits to be printed.
要打印的数字位数。
参数：...
Other options to be passed to the print function.
到传递给print功能的其他选项。
参数：level
A numeric giving the significance level for the credible intervals.
一个数字的可信区间，显着性水平。
值----------Value----------
Print several information on screen.
在屏幕上打印多的信息。
（作者）----------Author(s)----------
Mathieu Ribatet
实例----------Examples----------
## Generate realizations from the model[＃从模型生成实现]
n.site <- 15
n.obs <- 35
coord <- cbind(lon = runif(n.site, -10, 10), lat = runif(n.site, -10 , 10))
gp.loc <- rgp(1, coord, "powexp", sill = 4, range = 20, smooth = 1)
gp.scale <- rgp(1, coord, "powexp", sill = 0.4, range = 5, smooth = 1)
gp.shape <- rgp(1, coord, "powexp", sill = 0.01, range = 10, smooth = 1)
locs <- 26 + 0.5 * coord[,"lon"] + gp.loc
scales <- 10 + 0.2 * coord[,"lat"] + gp.scale
shapes <- 0.15 + gp.shape
data <- matrix(NA, n.obs, n.site)
for (i in 1:n.site)
data[,i] <- rgev(n.obs, locs[i], scales[i], shapes[i])
loc.form <- y ~ lon
scale.form <- y ~ lat
shape.form <- y ~ 1
hyper <- list()
hyper$sills <- list(loc = c(1,8), scale = c(1,1), shape = c(1,0.02))
hyper$ranges <- list(loc = c(2,20), scale = c(1,5), shape = c(1, 10))
hyper$smooths <- list(loc = c(1,1/3), scale = c(1,1/3), shape = c(1, 1/3))
hyper$betaMeans <- list(loc = rep(0, 2), scale = c(9, 0), shape = 0)
hyper$betaIcov <- list(loc = solve(diag(c(400, 100))),
scale = solve(diag(c(400, 100))),
shape = solve(diag(c(10), 1, 1)))
## We will use an exponential covariance function so the jump sizes for[＃我们将使用指数的协方差函数，所以跳的大小为]
## the shape parameter of the covariance function are null.[＃协方差函数的形状参数是空的。]
prop <- list(gev = c(2.5, 1.5, 0.2), ranges = c(0.7, 0.75, 0.9),
smooths = c(0,0,0))
start <- list(sills = c(4, .36, 0.009), ranges = c(24, 17, 16), smooths
= c(1, 1, 1), beta = list(loc = c(26, 0), scale = c(10, 0),
shape = c(0.15)))
mc <- latent(data, coord, loc.form = loc.form, scale.form = scale.form,
shape.form = shape.form, hyper = hyper, prop = prop, start = start,
n = 500)
mc
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 12:44:59
