r中3个参数分布和最小极值分布的拟合优度检验

如何解决r中3个参数分布和最小极值分布的拟合优度检验

我想找到适合数据集的分布。

我使用Envstats包对各种发行版进行了gof测试。但是我找不到最小的极值分布和3个参数（weibull，gamma，loglogistic）分布的包装或任何其他方式。

请让我知道是否有任何软件包可以帮助您。

library(Envstats)
c.data <- c(472.673,486.639,488.187,479.528,458.441,495.891,478.033,489.379,490.37,475.955,478.991,479.778,481.918,470.626,473.384,473.808,488.685,492.087,464.537,494.336,471.348,482.419,484.223,463.437,477.16,474.609,465.133,482.565,477.124,464.709,477.884,474.328,476.979,487.532,475.188,485.778,455.646)

gof.weibull <-
    gofTest(c.data,distribution = "weibull",test = "sw")
  
  distName <- gof.weibull$distribution
  swValue <- gof.weibull$statistic
  shapeValue <- gof.weibull$distribution.parameters[1]
  scaleValue <- gof.weibull$distribution.parameters[2]
  pValue <- gof.weibull$p.value
  
  plot(gof.weibull)