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R最优参数行为_R_Optimization_Cox - Fatal编程技术网

R最优参数行为

R最优参数行为,r,optimization,cox,R,Optimization,Cox,我试图在R中拟合Cox部分似然的核化版本。我有一个函数 compute_kernelized_nLL(param_vect, kernel_matrix,response,lambda=0) 当我调用optim时,如下所示: ker.train<-construct_euclidean_kernel(as.matrix(data)) (res <-optim(par=rep(0,ncol(ker.train)),fn = compute_kernelized_nLL,

我试图在R中拟合Cox部分似然的核化版本。我有一个函数

compute_kernelized_nLL(param_vect, kernel_matrix,response,lambda=0)
当我调用
optim
时,如下所示:

ker.train<-construct_euclidean_kernel(as.matrix(data))
(res <-optim(par=rep(0,ncol(ker.train)),fn = compute_kernelized_nLL,
      kernel_matrix=ker.train,
      response=uncensored_survival,
      lambda=3,
      method="Nelder-Mead"))

ker.trainAs初始检查:是否
compute\u kernelized\u nLL
返回长度1
numeric
?在
optim
中返回的收敛代码是什么?通常,解决方案“不移动”表示内部计算的梯度为空。@Freguglia是,它是一个长度为1的数字。我得到的收敛码是0,但在一次迭代中,我得到的收敛码是1