rriskMLEdist(rriskDistributions)
rriskMLEdist()所属R语言包：rriskDistributions
Maximum likelihood fitting of univariate distributions
单变量分布的最大似然拟合
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Fits a univariate distribution by maximum likelihood.
适合单变量分布的最大似然法。
用法----------Usage----------
rriskMLEdist(data, distr, start = NULL, optim.method =
"default", lower = -Inf, upper = Inf, custom.optim =
NULL, ...)
参数----------Arguments----------
参数：data
A numerical vector for non censored data or a dataframe of two columns respectively named left and right, describing each observed value as an interval for censored data. In that case the left column contains either NA for left censored observations, the left bound of the interval for interval censored observations, or the observed value for non-censored observations. The right column contains either NA for right censored observations, the right bound of the interval for interval censored observations, or the observed value for non-censored observations.
不删失数据或数据框的两列分别命名为左，右删失数据的时间间隔，描述每个观测值的数值向量。在这种情况下，左边的列都包含NA左审查的意见，离开的时间间隔区间的观测，或不删失的观测值的观测值的约束。右边的列中包含无论是NA右删失的观测值，区间观察的时间间隔约束的权利，或不删失的观测值的观测值。
参数：distr
A character string "name" naming a distribution (or directly the density function) for which the corresponding density function dname and the corresponding distribution pname must be classically defined. The possible values are: "norm", "exp", "lnorm", "logis", "gamma", "weibull", "beta", "chisq", "t", "f", "cauchy", "gompertz".
一个字符串“名称”命名的分配（或直接密度函数）相应的密度函数DNAME和相应的分销pname的经典定义。可能的值是：“规范”，“EXP”中，“lnorm”，“LOGIS”，“伽马”，“威布尔”的，“试用”，“chisq”，“T”，的“f”，“柯西”，“GOMPERTZ”。
参数：start
A named list giving the initial values of parameters of the named distribution. This argument may be omitted for some distributions for which reasonable starting values are computed (see details).
命名的列表，给出的命名分布参数的初始值。此参数可以省略一些分布合理的初始值计算（见详情）。
参数：optim.method
"default" (see details) or optimization method to pass to optim.
“默认”（见详情）或优化方法传递给optim。
参数：lower
Left bounds on the parameters for the "L-BFGS-B" method (see optim).
左界限的参数为“L-BFGS-B”的方法（见optim“）。
参数：upper
Right bounds on the parameters for the "L-BFGS-B" method (see optim).
正确的参数范围为“L-BFGS-B”的方法（见optim“）。
参数：custom.optim
a function carrying the MLE optimization (see details).
一个功能承载的MLE优化（见详情）。
参数：...
further arguments passed to the optim or custom.optim function.
进一步optim或custom.optim函数参数传递给。
Details
详细信息----------Details----------
This function is an alias of the function mledist from the package fitdistrplus (Version 0.1-2). The original function was extended to fitting additional distributions. The following continuous distributions can be fitted by this function: normal, exponential, lognormal, logistic, gamma, Weibull, Beta, chi-square, Student's t, F, Cauchy, Gompertz and triangular. And the following discrete distributions can be fitted: (wird ergaenzt). <br> <br> For more details see the assistance page of the function mledist from the package fitdistrplus. <br> <br> This function is not intended to be called directly but is internally called in rriskFitdist.cont.
此功能是别名的功能mledist从包fitdistrplus（版本0.1-2）。原有的功能扩展到额外的分布拟合。下面的连续分布可以安装此功能：正态分布，指数分布，对数正态分布，MF，γ，Weibull分布，Beta版，卡方检定，学生的t，F，柯西，Gompertz和三角形。而下面的离散分布可以安装：（wird ergaenzt）。有关详细信息，请参阅参考<BR>的功能mledist的包fitdistrplus帮助页。参考<br>该功能并不直接调用，但在内部被称为rriskFitdist.cont。
值----------Value----------
rriskMLEdist returns a list with fitting results containing following informations
rriskMLEdist返回一个列表，包含以下信息的拟合结果
参数：<code>estimate</code>
numeric, a single value or a vector containing estimated parameters.
数字，一个单值或一个向量，包含估计参数。
参数：<code>convergence</code>
an integer code for the convergence of optim. The value 0 indicates a successful convergence. <tr valign="top"><td>loglik</td>
整数代码的收敛optim。的价值0表示成功融合。 <tr valign="top"> <TD> <code>loglik</ P> </ TD>
the log-likelihood <tr valign="top"><td>hessian</td>
<tr valign="top">对数似然<TD> <code>hessian</ P> </ TD>
a symmetric matrix computed by optim as an estimate of the Hessian at the solution found or computed in the user-supplied optimization function. It is used in rriskFitdist.cont to estimate standard errors.
对称矩阵计算的optim的解决方案或计算用户提供的优化功能的Hessian的估计。它是用来在rriskFitdist.cont估计标准误差。
参数：<code>optim.function</code>
the name of the optimization function used for maximum likelihood.
用于最大似然的优化功能的名称。
（作者）----------Author(s)----------
Matthias Greiner <a href="mailto:matthias.greiner@bfr.bund.de">matthias.greiner@bfr.bund.de</a>
(BfR), <br> Kristin Tolksdorf
<a href="mailto:kristin.tolksdorf@bfr.bund.de">kristin.tolksdorf@bfr.bund.de</a> (BfR), <br>
Katharina Schueller <a href="mailto:schueller@stat-up.de">schueller@stat-up.de</a>
(<acronym><span class="acronym">STAT-UP</span></acronym> Statistical Consulting), <br> Natalia
Belgorodski <a href="mailto:belgorodski@stat-up.de">belgorodski@stat-up.de</a>
(<acronym><span class="acronym">STAT-UP</span></acronym> Statistical Consulting), <br>
Marie-Laure Delignette-Muller (coauthor of the package
<span class="pkg">fitdistrplus</span>), <br> Christophe Dutang (coauthor of
the package <span class="pkg">fitdistrplus</span>)
实例----------Examples----------
# a basic fit of some distribution with maximum likelihood estimation[一个基本适合一些分布与最大似然估计]
set.seed(1)
x2<-rchisq(500,4)
rriskMLEdist(x2,"norm")
rriskMLEdist(x2,"exp")
rriskMLEdist(x2,"lnorm")
rriskMLEdist(x2,"logis")
rriskMLEdist(x2,"gamma")
rriskMLEdist(x2,"weibull")
rriskMLEdist(x2,"beta")
rriskMLEdist(x2,"chisq")
rriskMLEdist(x2,"t")
rriskMLEdist(x2,"f")
rriskMLEdist(x2,"cauchy")
rriskMLEdist(x2,"gompertz")
#rriskMLEdist(x2,"triang")[rriskMLEdist（χ2中，“triang”）]
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。
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发表于 2012-9-28 21:13:31
