print.smoothSurvReg(smoothSurv)
print.smoothSurvReg()所属R语言包:smoothSurv
Summary and Print for Objects of Class 'smoothSurvReg'
总结和打印对象的类“smoothSurvReg”
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Print a summary information of the fitted model.
打印拟合模型的摘要信息。
For regression coefficients the following information is given:
回归系数的以下信息:
Value
Value
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> estimate of the coefficient
</ TD> <TD ALIGN="LEFT">估计的系数
Std.Error
Std.Error
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> estimated standard error based on the
</ TD> <TD ALIGN="LEFT">的基础上估计的标准误差
pseudo-variance estimate (3.1)
伪方差的估计(3.1)
</td><td align="left"> </td><td align="left"> in
</ TD> <TD ALIGN="LEFT"> </ TD> <TD ALIGN="LEFT">在
Kom谩rek, Lesaffre and Hilton (2005)
科马雷克,乐斯福和希尔顿(2005年)
Std.Error2
Std.Error2
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> estimated standard error based on the
</ TD> <TD ALIGN="LEFT">的基础上估计的标准误差
asymptotic variance estimate (3.2)
渐近方差的估计(3.2)
</td><td align="left"> </td><td align="left"> in
</ TD> <TD ALIGN="LEFT"> </ TD> <TD ALIGN="LEFT">在
Kom谩rek, Lesaffre and Hilton (2005)
科马雷克,乐斯福和希尔顿(2005年)
Z
Z
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> the Wald statistic obtained as
</ TD> <TD ALIGN="LEFT">获得Wald统计量
Value
Value
divided by
除以
Std.Error
Std.Error
Z2
Z2
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> the Wald statistic obtained as
</ TD> <TD ALIGN="LEFT">获得Wald统计量
Value
Value
divided
分
by
通过
Std.Error2
Std.Error2
p
p
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> the two-sided P-value based on normality of the statistic
</ TD> <TD ALIGN="LEFT">双面的正常性的统计量的基础上的P-值
Z
Z
p2
p2
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> the two-sided P-value based on normality of the statistic
</ TD> <TD ALIGN="LEFT">双面的正常性的统计量的基础上的P-值
Z2
Z2
Further, we print:
此外,我们打印:
Lambda
Lambda
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> the optimal value of the smoothing
</ TD> <TD ALIGN="LEFT">最优值的平滑
hyperparameter
超参数
</td><td align="left"> </td><td align="left"> divided by the sample size,
</ TD> <TD ALIGN="LEFT"> </ TD> <TD ALIGN="LEFT">除以样本大小,
i.e.,
即,
lambda/n in the notation
lambda/n的符号
</td><td align="left"> </td><td align="left"> of
</ TD> <TD ALIGN="LEFT"> </ TD> <TD ALIGN="LEFT">的
Kom谩rek, Lesaffre and Hilton (2005)
科马雷克,乐斯福和希尔顿(2005年)
Log(Lambda)
Log(Lambda)
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> logarithm of the above
</ TD> <TD ALIGN="LEFT">上述的对数
df
df
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> effective degrees of freedom of the model, see
</ TD> <TD ALIGN="LEFT">有效度模型的自由,
Section 2.2.3
第2.2.3节
</td><td align="left"> </td><td align="left"> of Kom谩rek, Lesaffre and Hilton (2005)
</ TD> <TD ALIGN="LEFT"> </ TD> <TD ALIGN="LEFT">的科马雷克,乐斯福和希尔顿(2005年)
AIC
AIC
</td><td align="left"> -
</ TD> <TD ALIGN="LEFT"> -
</td><td align="left"> Akaike's information criterion of the model, see
</ TD> <TD ALIGN="LEFT">赤池信息标准的模型,
Section 2.2.3
第2.2.3节
</td><td align="left"> </td><td align="left"> of Kom谩rek, Lesaffre and Hilton (2005)
</ TD> <TD ALIGN="LEFT"> </ TD> <TD ALIGN="LEFT">的科马雷克,乐斯福和希尔顿(2005年)
With argument spline set to TRUE, analogous table like that for the regression coefficients is printed also for the weights of the penalized Gaussian mixture (G-spline).
参数样条曲线的回归系数设置为TRUE,类似的表像印也为权重的惩罚高斯混合模型(G-样条)。
用法----------Usage----------
## S3 method for class 'smoothSurvReg'
print(x, spline, digits = min(options()$digits, 4), ...)
## S3 method for class 'smoothSurvReg'
summary(object, spline, digits = min(options()$digits, 4), ...)
参数----------Arguments----------
参数:x
Object of class smoothSurvReg.
对象的类smoothSurvReg。
参数:object
Object of class smoothSurvReg.
对象的类smoothSurvReg。
参数:spline
TRUE/FALSE. If TRUE an information on fitted G-spline is printed.
TRUE / FALSE。如果是TRUE装G-样条信息被打印出来。
参数:digits
Controls the number of digits to print when printing numeric values. It is a suggestion only. Valid values are 1...22.
控制的数位打印时打印的数值。这是一个建议。有效的值是1 ... 22。
参数:...
Further arguments passed to or from other methods.
进一步的参数传递给其他方法。
(作者)----------Author(s)----------
Arno拧t Kom谩rek <a href="mailto:arnost.komarek[AT]mff.cuni.cz">arnost.komarek[AT]mff.cuni.cz</a>
参考文献----------References----------
Accelerated failure time model for arbitrarily censored data with smoothed error distribution. Journal of Computational and Graphical Statistics, 14, 726–745.
An overview of methods for interval-censored data with an emphasis on applications in dentistry. Statistical Methods in Medical Research, 14, 539–552.
参见----------See Also----------
smoothSurvReg, print, summary
smoothSurvReg,print,summary
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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