smoothSurvReg.control(smoothSurv)
smoothSurvReg.control()所属R语言包：smoothSurv
More Options for 'smoothSurvReg'
更多选项smoothSurvReg“
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function checks and sets the fitting options for smoothSurvReg. Its arguments can be used instead of ... in a call to smoothSurvReg.
此功能检查和设置的安装选项smoothSurvReg。它的参数可以使用，而不是...在一个调用smoothSurvReg。
用法----------Usage----------
smoothSurvReg.control(est.c = TRUE, est.scale = TRUE,
maxiter = 200, firstiter = 0, rel.tolerance = 5e-5, toler.chol = 1e-15, toler.eigen = 1e-3,
maxhalf = 10, debug = 0, info = TRUE, lambda.use = 1.0, sdspline = NULL,
difforder = 3, dist.range = c(-6, 6), by.knots = 0.3, knots = NULL, nsplines = NULL, last.three = NULL)
参数----------Arguments----------
参数：est.c
If TRUE the G-spline coefficients are estimated. Otherwise, they are fixed to the values given by init.c parameter of smoothSurvReg.
如果为true，G-样条系数的估计。否则，他们init.c参数smoothSurvReg给定的值是固定的。
参数：est.scale
If TRUE the scale parameter sigma is estimated. Otherwise, it is fixed to the value given by init.scale parameter of smoothSurvReg.
如果为true，尺度参数sigma估计。否则，它被固定init.scale参数的smoothSurvReg给定的值。
参数：maxiter
Maximum number of Newton-Raphson iterations.
Newton-Raphson迭代的最大数量。
参数：firstiter
The index of the first iteration. This option comes from older versions of this function.
在第一次迭代的索引。此选项是从旧版本此功能。
参数：rel.tolerance
(Relative) tolerance to declare the convergence. In this version of the function, the convergence is declared if the relative difference between two consecutive values of the penalized log-likelihood are smaller than rel.tolerance.
（相对）的容限申报收敛。在这个版本中的功能，收敛宣布，如果连续两次受到处罚的对数似然值的相对差异小于rel.tolerance的。
参数：toler.chol
Tolerance to declare Cholesky decomposition singular.
申报Cholesky分解奇异的宽容。
参数：toler.eigen
Tolerance to declare an eigen value of a matrix to be zero.
公差声明一个矩阵的本征值是零。
参数：maxhalf
Maximum number of step-halving steps if updated estimate leads to a decrease of the objective function.
最大数量的逐步减少一半的步骤，如果最新的估计，导致减少的目标函数。
参数：debug
If non-zero print debugging information.
，如果非零打印调试信息。
参数：info
If TRUE information concerning the iteration process is printed during the computation to the standard output.
如果迭代过程的真实信息打印到标准输出在计算过程中。
参数：lambda.use
The value of the tuning (penalty) parameter λ used in a current fit by the smoothSurvReg.fit function. Value of this option is not interesting for the user. The parameter lambda of the function smoothSurvReg is more important for the user.
值整定参数（点球）λsmoothSurvReg.fit功能在当前的配合使用。此选项的值是不感兴趣的用户。参数lambda的功能smoothSurvReg更重要的是为用户。
参数：sdspline
Standard deviation of the basis G-spline. If not given it is determined as 2/3 times the maximal distance between the two knots. If est.c = TRUE and sdspline >= 1 it is changed to 0.9 to be able to satisfy the constraints imposed to the fitted error distribution.
的标准偏差的基础上的G-样条。如果没有给出，它被确定为2/3倍的两个结之间的最大距离。如果est.c= TRUE sdspline> = 1变为0.9能够满足的拟合误差分布的限制。
参数：difforder
The order of the finite difference used in the penalty term.
为了惩罚项的有限差分。
参数：dist.range
Approximate minimal and maximal knot. If not given by knots the knots are determined as c(seq(0, dist.range[2], by = by.knots), seq(0, dist.range[1], by = -by.knots)). The sequence of knots is sorted and multiple entries are removed.
近似最小和最大的结。如果没有给出knots的结被确定为c(seq(0, dist.range[2], by = by.knots), seq(0, dist.range[1], by = -by.knots))。的顺序进行排序和删除多个项目的结。
参数：by.knots
The distance between the two knots used when building a vector of knots if these are not given by knots. This option is ignored if nsplines is not NULL.
时使用构建的向量的结，如果这些都没有给出knots两个结之间的距离。如果nsplines非NULL，则忽略此选项。
参数：knots
A vector of knots.
节的矢量。
参数：nsplines
This option is ignored at this moment. It is used to give the number of G-splines to the function smoothSurvReg.fit.
在这一刻，此选项将被忽略。它是用来给G-样条曲线的数目的函数smoothSurvReg.fit。
参数：last.three
A vector of length 3 with indeces of reference knots. The 'a' coefficient of the knot[last.three[1]] is then equal to zero, 'a' coefficients with indeces last.three[2:3] are expressed as a function of remaining 'a' coefficients such that resulting error distribution has zero mean and unit variance. If maxiter > 0 last.three is determined after the convergence is reached. If maxiter == 0 last.three is used to compute variance matrices.
一个向量的长度为3，选取的基准结。的a系数的knot[last.three[1]]然后等于零，a的系数与选取的last.three[2:3]表示剩余的“一个”系数，使得产生的错误分布的具有零均值和单位作为一个功能方差。如果maxiter > 0last.three决定后达到收敛。如果maxiter == 0last.three用于计算方差矩阵的。
值----------Value----------
A list with the same elements as the input except dist.range and by.knots is returned.
除了dist.range和by.knots则返回的列表具有相同的元素作为输入。
（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>
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。
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发表于 2012-9-30 10:32:40
