normal1(VGAM)
normal1()所属R语言包：VGAM
Univariate Normal Distribution
单变量正态分布
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Maximum likelihood estimation of the two parameters of a univariate normal distribution.
最大似然估计的单变量正态分布的两个参数。
用法----------Usage----------
normal1(lmean = "identity", lsd = "loge", lvar = "loge",
emean = list(), esd = list(), evar = list(),
var.arg = FALSE, imethod = 1, isd = NULL, parallel = FALSE,
intercept.apply = FALSE, zero = -2)
参数----------Arguments----------
参数：lmean, lsd, lvar
Link functions applied to the mean and standard deviation/variance. See Links for more choices. Being positive quantities, a log link is the default for the standard deviation and variance (see var.arg).
施加到链接功能的均值和标准偏差/方差。见Links更多的选择。积极的数量，log链接是默认的标准差和方差（见var.arg“）。
参数：emean, esd, evar
List. Extra argument for the links. See earg in Links for general information.
列表。额外的参数的链接。见earg中Links的一般信息。
参数：var.arg
Logical. If TRUE then the second parameter is the variance and lsd and esd are ignored, else the standard deviation is used and lvar and evar are ignored.
逻辑。如果TRUE然后第二个参数是方差和lsd和esd被忽略了，其他的标准差是用来和lvar和evar将被忽略。
参数：imethod, parallel, isd, intercept.apply, zero
See CommonVGAMffArguments for more information. If lmean = loge then try imethod = 2. Argument intercept.apply refers to whether the parallelism constraint is applied to the intercept too.
见CommonVGAMffArguments更多信息。如果lmean = loge然后尝试imethod = 2。参数intercept.apply是指的并行约束是否被施加到截距太。
Details
详细信息----------Details----------
This fits a linear model (LM) as the first linear/additive predictor. So, by default, this is just the mean. By default, the log of the standard deviation is the second linear/additive predictor. The Fisher information matrix is diagonal. This VGAM family function can handle multiple responses.
这符合线性模型（LM）作为第一线性/添加剂预测。因此，默认情况下，这是刚刚的意思。默认情况下，log的标准差是第二个线性/添加剂的预测中。 Fisher信息矩阵是对角。这VGAM家庭功能，可以处理多个响应。
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，vgam。
注意----------Note----------
Yet to do: allow an argument such as sameSD that enables the standard devations to be the same.
然而，要做到：让一个参数，如sameSD，使的的标准devations是相同的。
（作者）----------Author(s)----------
T. W. Yee
参考文献----------References----------
Statistical Distributions, New York: Wiley-Interscience, Third edition.
参见----------See Also----------
gaussianff, posnormal1, mix2normal1, Qvar, tobit, cennormal1, fnormal1, skewnormal1, dcennormal1, huber, studentt, binormal, dnorm.
gaussianff，posnormal1，mix2normal1，Qvar，tobit，cennormal1，fnormal1，skewnormal1，dcennormal1，huber，studentt，binormal，dnorm。
实例----------Examples----------
ndata <- data.frame(x2 = rnorm(nn <- 200))
ndata <- transform(ndata,
y1 = rnorm(nn, mean = 1-3*x2, sd = exp(1+0.2*x2)),
y2 = rnorm(nn, mean = 1+2*x2, sd = exp(1+ 2*x2)^0.5),
y3 = rnorm(nn, mean = 1+2*x2, sd = exp(1+ 2*x2)^0.5))
fit1 <- vglm(y1 ~ x2, normal1(zero = NULL), ndata, trace = TRUE)
coef(fit1, matrix = TRUE)
fit2 <- vglm(cbind(y2, y3) ~ x2, data = ndata, trace = TRUE,
normal1(var = TRUE, parallel = TRUE,
intercept.apply = TRUE, zero = NULL))
coef(fit2, matrix = TRUE)
# Generate data from N(mu = theta = 10, sigma = theta) and estimate theta.[生成从N（亩=θ= 10，σ=θ），并估计THETA的数据。]
theta <- 10
ndata <- data.frame(y = rnorm(100, m = theta, sd = theta))
fit <- vglm(y ~ 1, normal1(lsd = "identity"), ndata,
constraints = list("(Intercept)" = rbind(1, 1)))
coef(fit, matrix = TRUE)
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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。
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发表于 2012-10-1 15:45:50
