R语言多重填补后逐步回归代码

R语言中多重填补后逐步回归的代码如下：

library(mice)
library(stepPlr)

# 读取数据
data <- read.csv("data.csv")

# 多重填补
imp <- mice(data, m = 5, method = "pmm")

# 逐步回归
step_results <- with(data, step_plr(y ~ x1 + x2 + x3, data = imp))

# 打印结果
print(step_results)

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R语言多重填补后逐步二分类logistic回归代码

R语言中进行多重填补后的逐步二分类logistic回归代码如下：

# 导入必要的包
library(mice)
library(MASS)

# 读入数据
data <- read.csv("data.csv")

# 多重填补
imputed_data <- mice(data)

# 定义逐步回归函数
stepwise_logistic <- function(formula, data) {
  fit <- glm(formula, data = data, family = binomial)
  step <- stepAIC(fit, direction = "both", trace = FALSE)
  return(step)
}

# 构建模型
formula <- outcome ~ predictor1 + predictor2 + predictor3
model <- stepwise_logistic(formula, imputed_data)

# 打印结果
summary(model)

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