如何在R中设置MaxNWts值 [英] How to set MaxNWts value in R

问题描述

我正在尝试通过mouses包估算类别数据.

I am trying to impute categorical data through the mice package.

{qualiD = mice(quali,1, seed=123)}

然后出现以下错误:

{nnet.default中的错误(X，Y，w，掩码=掩码，大小= 0，跳过= TRUE， softmax = TRUE ，:权重过多(2184)}

{Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE, : too many (2184) weights}

我尝试通过包含MaxNWts参数来增加权重数量.

I tried increasing the number of weights by including the MaxNWts param.

{qualiD = mice(quali,1, seed=123, MaxNWts = 3000)}

但是再次出现此错误:

{nnet.default中的错误(X，Y，w，掩码=掩码，大小= 0，跳过= TRUE， softmax = TRUE ，:形式参数"MaxNWts"由多个匹配 实际参数}

{Error in nnet.default(X, Y, w, mask = mask, size = 0, skip = TRUE, softmax = TRUE, : formal argument "MaxNWts" matched by multiple actual arguments}

推荐答案

使用nnet.MaxNWts传递参数

Pass the argument using nnet.MaxNWts

qualiD = mice(quali,1, seed=123, nnet.MaxNWts = 3000)

这在小鼠归算功能的文档中进行了描述，例如mice.impute.polr

This is described in the documentation of the mice imputation functions, e.g. mice.impute.polr

这篇关于如何在R中设置MaxNWts值的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！