multinom(nnet)
multinom()所属R语言包：nnet
Fit Multinomial Log-linear Models
适合多项式对数线性模型
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Fits multinomial log-linear models via neural networks.
适合通过神经网络的多项式对数线性模型。
用法----------Usage----------
multinom(formula, data, weights, subset, na.action,
contrasts = NULL, Hess = FALSE, summ = 0, censored = FALSE,
model = FALSE, ...)
参数----------Arguments----------
参数：formula
a formula expression as for regression models, of the form response ~ predictors. The response should be a factor or a matrix with K columns, which will be interpreted as counts for each of K classes. A log-linear model is fitted, with coefficients zero for the first class. An offset can be included: it should be a numeric matrix with K columns if the response is either a matrix with K columns or a factor with K > 2 classes, or a numeric vector for a response factor with 2 levels. See the documentation of formula() for other details.
作为回归模型公式表达形式response ~ predictors。响应应该是一个因素，或与K列，这将被解释为计数的K类矩阵。一个对数线性模型系数为零，配备一流的。偏移量可以包括：如果响应是与K列的矩阵或与K> 2班的一个因素，或为一个2级的响应因子的数值向量，它应该是一个与K列的数字矩阵。看到formula()其他细节的文件。
参数：data
an optional data frame in which to interpret the variables occurring in formula.
在解释变量发生在formula可选的数据框。
参数：weights
optional case weights in fitting.
接头可选的情况下重量。
参数：subset
expression saying which subset of the rows of the data should be used in the fit. All observations are included by default.
表达说，应在适当使用数据行的一个子集。所有的意见，包括默认情况下。
参数：na.action
a function to filter missing data.
一个函数来过滤丢失的数据。
参数：contrasts
a list of contrasts to be used for some or all of the factors appearing as variables in the model formula.
对比的名单将部分或全部的模型公式中的变量出现的因素。
参数：Hess
logical for whether the Hessian (the observed/expected information matrix) should be returned.
逻辑是否黑森州（观察/预期的信息矩阵）应退还。
参数：summ
integer; if non-zero summarize by deleting duplicate rows and adjust weights. Methods 1 and 2 differ in speed (2 uses C); method 3 also combines rows with the same X and different Y, which changes the baseline for the deviance.
整数;如果非零总结删去重复行和调整权重。方法1和2的速度不同（2使用C）;方法3还结合行具有相同的X和不同的y，这改变的越轨行为的基线。
参数：censored
If Y is a matrix with K > 2 columns, interpret the entries as one for possible classes, zero for impossible classes, rather than as counts.
如果Y是一个K > 2列的矩阵，解释为一个可能的类，零不可能类条目，而不是作为计数。
参数：model
logical. If true, the model frame is saved as component model of the returned object.
逻辑。如果情况属实，该模型框架被保存组件model返回的对象。
参数：...
additional arguments for nnet </table>
额外的参数nnet</ TABLE>
Details
详情----------Details----------
multinom calls nnet. The variables on the rhs of the formula should be roughly scaled to [0,1] or the fit will be slow or may not converge at all.
multinomnnet。 rhs的公式中的变量应大致缩放到[0,1]或适合将是缓慢的，或可能不收敛。
值----------Value----------
A nnet object with additional components:
一个nnet对象与其他组件：
参数：deviance
the residual deviance, compared to the full saturated model (that explains individual observations exactly). Also, minus twice log-likelihood.
残余偏差，比较全饱和模型（完全解释个人意见）。此外，减去两次对数似然。
参数：edf
the (effective) number of degrees of freedom used by the model
（有效）的自由度模型
参数：AIC
the AIC for this fit.
这个合适的工商行政管理机关。
参数：Hessian
(if Hess is true).
（Hess如果是真实的）。
参数：model
(if model is true). </table>
（model如果是真实的）。 </ TABLE>
参考文献----------References----------
Modern Applied Statistics with S. Fourth edition. Springer.
参见----------See Also----------
nnet
nnet
举例----------Examples----------
options(contrasts = c("contr.treatment", "contr.poly"))
library(MASS)
example(birthwt)
(bwt.mu <- multinom(low ~ ., bwt))
## Not run: Call:[＃无法运行：呼叫：]
multinom(formula = low ~ ., data = bwt)
Coefficients:
(Intercept) age lwt raceblack raceother
0.823477 -0.03724311 -0.01565475 1.192371 0.7406606
smoke ptd ht ui ftv1 ftv2+
0.7555234 1.343648 1.913213 0.6802007 -0.4363238 0.1789888
Residual Deviance: 195.4755
AIC: 217.4755
## End(Not run)[＃结束（不运行）]
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 2012-2-17 09:59:41
