vglm-class(VGAM)
vglm-class()所属R语言包：VGAM
Class “vglm”
类“vglm”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Vector generalized linear models.
向量广义线性模型。
类对象----------Objects from the Class----------
Objects can be created by calls of the form vglm(...).
可以创建对象通过调用的形式vglm(...)。
插槽----------Slots----------
In the following, M is the number of linear predictors.
在下文中，M是线性预测的数目。
extra: Object of class "list"; the extra argument on entry to vglm. This contains any extra information that might be needed
extra：对象的类"list"参数进入extra vglm。这包含任何可能需要的额外信息，
family: Object of class "vglmff".
family：对象的类"vglmff"。
iter: Object of class "numeric".
iter：对象的类"numeric"。
predictors: Object of class "matrix"
predictors：对象类"matrix"的
assign: Object of class "list", from class "vlm". This named list gives information matching the columns and the (LM) model matrix terms.
assign：类的对象"list"，从类 "vlm"。此命名表提供的信息相匹配的列（LM）模型矩阵条款。
call: Object of class "call", from class "vlm". The matched call.
call：类的对象"call"，从类 "vlm"。匹配的呼叫。
coefficients: Object of class "numeric", from class "vlm". A named vector of coefficients.
coefficients：类的对象"numeric"，从类 "vlm"。一个命名的系数向量。
constraints: Object of class "list", from class "vlm". A named list of constraint matrices used in the fitting.
constraints：类的对象"list"，从类 "vlm"。装修中使用的命名列表的约束矩阵。
contrasts: Object of class "list", from class "vlm". The contrasts used (if any).
contrasts：类的对象"list"，从类 "vlm"。对比（如果有的话）。
control: Object of class "list", from class "vlm". A list of parameters for controlling the fitting process. See vglm.control for details.
control：类的对象"list"，从类 "vlm"。控制装修过程中的参数列表。见vglm.control的详细信息。
criterion: Object of class "list", from class "vlm". List of convergence criterion evaluated at the final IRLS iteration.
criterion：类的对象"list"，从类 "vlm"。列表在最后IRLS迭代收敛标准评估。
df.residual: Object of class "numeric", from class "vlm". The residual degrees of freedom.
df.residual：类的对象"numeric"，从类 "vlm"。残余的自由度。
df.total: Object of class "numeric", from class "vlm". The total degrees of freedom.
df.total：类的对象"numeric"，从类 "vlm"。总自由度。
dispersion: Object of class "numeric", from class "vlm". The scaling parameter.
dispersion：类的对象"numeric"，从类 "vlm"。缩放参数。
effects: Object of class "numeric", from class "vlm". The effects.
effects：类的对象"numeric"，从类 "vlm"。效果。
fitted.values: Object of class "matrix", from class "vlm". The fitted values.
fitted.values：类的对象"matrix"，从类 "vlm"。拟合值。
misc: Object of class "list", from class "vlm". A named list to hold miscellaneous parameters.
misc：类的对象"list"，从类 "vlm"。命名的以持有杂项参数。
model: Object of class "data.frame", from class "vlm". The model frame.
model：类的对象"data.frame"，从类 "vlm"。该模型框架。
na.action: Object of class "list", from class "vlm". A list holding information about missing values.
na.action：类的对象"list"，从类 "vlm"。遗漏值的列表信息。
offset: Object of class "matrix", from class "vlm". If non-zero, a M-column matrix of offsets.
offset：类的对象"matrix"，从类 "vlm"。如果不为零，M列的矩阵的偏移量。
post: Object of class "list", from class "vlm" where post-analysis results may be put.
post：类的对象"list"，从类 "vlm"可以放在分析结果。
preplot: Object of class "list", from class "vlm" used by plotvgam; the plotting parameters may be put here.
preplot：类的对象"list"，从类 "vlm"使用plotvgam;绘图参数可以放在这里。
prior.weights: Object of class "matrix", from class "vlm" holding the initially supplied weights.
prior.weights：类的对象"matrix"，从类 "vlm"最初提供的重量。
qr: Object of class "list", from class "vlm". QR decomposition at the final iteration.
qr：类的对象"list"，从类 "vlm"。在最后一次迭代的QR分解。
R: Object of class "matrix", from class "vlm". The R matrix in the QR decomposition used in the fitting.
R：类的对象"matrix"，从类 "vlm"。 R矩阵的QR分解的装配中使用的。
rank: Object of class "integer", from class "vlm". Numerical rank of the fitted model.
rank：类的对象"integer"，从类 "vlm"。拟合模型的数值等级。
residuals: Object of class "matrix", from class "vlm". The working residuals at the final IRLS iteration.
residuals：类的对象"matrix"，从类 "vlm"。在最后IRLS迭代工作残差。
rss: Object of class "numeric", from class "vlm". Residual sum of squares at the final IRLS iteration with the adjusted dependent vectors and weight matrices.
rss：类的对象"numeric"，从类 "vlm"。在最终IRLS与调整后的依赖向量和权重矩阵的迭代平方的残差平方和。
smart.prediction: Object of class "list", from class "vlm". A list of data-dependent parameters (if any) that are used by smart prediction.
smart.prediction：类的对象"list"，从类 "vlm"。数据相关的参数列表（如果有的话）所使用的智能预测。
terms: Object of class "list", from class "vlm". The terms object used.
terms：类的对象"list"，从类 "vlm"。 terms对象。
weights: Object of class "matrix", from class "vlm". The weight matrices at the final IRLS iteration. This is in matrix-band form.
weights：类的对象"matrix"，从类 "vlm"。在最后IRLS迭代的权重矩阵。这是在矩阵带的形式。
x: Object of class "matrix", from class "vlm". The model matrix (LM, not VGLM).
x：类的对象"matrix"，从类 "vlm"。模型矩阵（LM，不VGLM的）。
xlevels: Object of class "list", from class "vlm". The levels of the factors, if any, used in fitting.
xlevels：类的对象"list"，从类 "vlm"。水平的因素，如果没有，使用接头。
y: Object of class "matrix", from class "vlm". The response, in matrix form.
y：类的对象"matrix"，从类 "vlm"。的响应，以矩阵形式。
Xm2: Object of class "matrix", from class "vlm". See vglm-class).
Xm2：类的对象"matrix"，从类 "vlm"。见vglm-class）。
Ym2: Object of class "matrix", from class "vlm". See vglm-class).
Ym2：类的对象"matrix"，从类 "vlm"。见vglm-class）。
Object of class "call", from class "vlm". The matched call for argument form2.
对象的类"call"，从类 "vlm"中。参数form2匹配的呼叫。
扩展----------Extends----------
Class "vlm", directly.
类"vlm"，直接。
方法----------Methods----------
cdf signature(object = "vglm"): cumulative distribution function.
CDFsignature(object = "vglm")：累积分布函数。
deplot signature(object = "vglm"):
deplotsignature(object = "vglm")：
deviance signature(object = "vglm"):
越轨行为signature(object = "vglm")：
plot signature(x = "vglm"):
图signature(x = "vglm")：
predict signature(object = "vglm"): extract the linear predictors or
预测signature(object = "vglm")：提取的线性预测
print signature(x = "vglm"):
打印signature(x = "vglm")：
qtplot signature(object = "vglm"):
qtplotsignature(object = "vglm")：
resid signature(object = "vglm"):
渣油signature(object = "vglm")：
residuals signature(object = "vglm"):
残差signature(object = "vglm")：
rlplot signature(object = "vglm"): return level plot.
rlplot的signature(object = "vglm")：返回级的主线图。
summary signature(object = "vglm"):
总结signature(object = "vglm")：
（作者）----------Author(s)----------
Thomas W. Yee
参考文献----------References----------
Reduced-rank vector generalized linear models. Statistical Modelling, 3, 15–41.
Vector generalized additive models. Journal of the Royal Statistical Society, Series B, Methodological, 58, 481–493.
参见----------See Also----------
vglm, vglmff-class, vgam-class.
vglm，vglmff-class，vgam-class。
实例----------Examples----------
# Multinomial logit model [多项Logit模型]
pneumo = transform(pneumo, let = log(exposure.time))
vglm(cbind(normal, mild, severe) ~ let, multinomial, pneumo)
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注：
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发表于 2012-10-1 15:57:01
