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R `fitdist`错误消息：函数mle无法估计参数，错误代码为1

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R `fitdist`错误消息：函数mle无法估计参数，错误代码为1,r,distribution,fitdistrplus,R,Distribution,Fitdistrplus,我试图使用fitdistrplus软件包中的fitdist功能将我的数据拟合到Burr分布 library(fitdistrplus) library(actuar) fit_bur <- fitdist(data=c(6,8,6,3,3,6,6,6,7,8,4,5,1,4,4,0,0,0,0,7,5,6,6,5,3,4,8,6,5,6,3,6,5,4,3,9,4,2,4), method = "mle",distr="burr", start

我试图使用
fitdistrplus
软件包中的
fitdist
功能将我的数据拟合到Burr分布

library(fitdistrplus)     
library(actuar)

fit_bur <- fitdist(data=c(6,8,6,3,3,6,6,6,7,8,4,5,1,4,4,0,0,0,0,7,5,6,6,5,3,4,8,6,5,6,3,6,5,4,3,9,4,2,4), method = "mle",distr="burr", 
               start = list(shape1 = 0.3, shape2 = 1, rate = 1))

库（FitDistripPlus）
图书馆（精算师）

fit_bur尝试此代码，即使它会为标准错误提供NA：


data_you <- c(6,8,6,3,3,6,6,6,7,8,4,5,1,4,4,0.1,0.1,0.1,0.1,7,5,6,6,5,3,4,8,6,5,6,3,6,5,4,3,9,4,2,4)

fit_bur <- fitdist(data_you,"burr", start = list(shape1 = 0.3, shape2 = 1, rate = 1),lower=c(0,0))



data\u您

data_you <- c(6,8,6,3,3,6,6,6,7,8,4,5,1,4,4,0.1,0.1,0.1,0.1,7,5,6,6,5,3,4,8,6,5,6,3,6,5,4,3,9,4,2,4)

fit_bur <- fitdist(data_you,"burr", start = list(shape1 = 0.3, shape2 = 1, rate = 1),lower=c(0,0))