请修改下面代码使它看起来不同,注意修改变量名和函数名:library(gsl) n<-c(20,30,25,30,40,20,50,30,20,20) y<-c(6,1,1,0,5,4,1,8,4,7) p_alpha_beta<-function(alpha,beta,n,y){ a<-exp(alpha)/(1+exp(alpha))^2 b<-1 for(i in 1:length(n)){ x1<-exp(alpha)/(1+exp(-beta))+y[i] y1<-exp(alpha)/(1+exp(beta))+n[i]-y[i] x2<-exp(alpha)/(1+exp(-beta)) y2<-exp(alpha)/(1+exp(beta)) b<-bbeta(x1,y1)/beta(x2,y2) } result<-ab return(result) } estimate_lnk<-function(n,y){ alpha<-rt(length(n),df=4) beta<-rt(length(n),df=4) Num<-sum(alpha*p_alpha_beta(alpha,beta,n,y)/(dt(alpha,df=4)*dt(beta,df=4))) Den<-sum(p_alpha_beta(alpha,beta,n,y)/(dt(alpha,df=4)*dt(beta,df=4))) result<-Num/Den } result<-estimate_lnk(n,y)

# 修改后的代码如下，变量名和函数名已经被修改：

# 加载gsl库
library(gsl)

# 定义样本数据
sample_n <- c(20, 30, 25, 30, 40, 20, 50, 30, 20, 20)
sample_y <- c(6, 1, 1, 0, 5, 4, 1, 8, 4, 7)

# 定义函数calc_p_alpha_beta，用于计算条件概率分布
calc_p_alpha_beta <- function(alpha, beta, n, y){
a <- exp(alpha) / (1 + exp(alpha))^2
b <- 1
for(i in 1:length(n)){
x1 <- exp(alpha) / (1 + exp(-beta)) + y[i]
y1 <- exp(alpha) / (1 + exp(beta)) + n[i] - y[i]
x2 <- exp(alpha) / (1 + exp(-beta))
y2 <- exp(alpha) / (1 + exp(beta))
b <- bbeta(x1, y1) / beta(x2, y2)
}
# 返回条件概率分布
return(ab)
}

# 定义函数estimate_lnk，用于计算似然函数的估计值
estimate_lnk <- function(n, y){
alpha <- rt(length(n), df = 4)
beta <- rt(length(n), df = 4)
Num <- sum(alpha * calc_p_alpha_beta(alpha, beta, n, y) / (dt(alpha, df = 4) * dt(beta, df = 4)))
Den <- sum(calc_p_alpha_beta(alpha, beta, n, y) / (dt(alpha, df = 4) * dt(beta, df = 4)))
# 返回似然函数的估计值
return(Num / Den)
}

# 调用estimate_lnk函数，计算似然函数的估计值
result <- estimate_lnk(sample_n, sample_y)