Aliases: tidy.fitdistr fitdistr_tidiers
Keywords:
### ** Examples # feel free to ignore the following line—it allows {broom} to supply # examples without requiring the model-supplying package to be installed. if (requireNamespace("MASS", quietly = TRUE)) { # load libraries for models and data library(MASS) # generate data set.seed(2015) x <- rnorm(100, 5, 2) # fit models fit <- fitdistr(x, dnorm, list(mean = 3, sd = 1)) # summarize model fit with tidiers tidy(fit) glance(fit) }
Warning in densfun(x, parm[1], parm[2], ...): NaNs produced Warning in densfun(x, parm[1], parm[2], ...): NaNs produced Warning in densfun(x, parm[1], parm[2], ...): NaNs produced Warning in densfun(x, parm[1], parm[2], ...): NaNs produced Warning in densfun(x, parm[1], parm[2], ...): NaNs produced Warning in densfun(x, parm[1], parm[2], ...): NaNs produced Warning in densfun(x, parm[1], parm[2], ...): NaNs produced Warning in densfun(x, parm[1], parm[2], ...): NaNs produced Warning in densfun(x, parm[1], parm[2], ...): NaNs produced
# A tibble: 1 × 4 logLik AIC BIC nobs <logLik> <dbl> <dbl> <int> 1 -211.6533 427. 433. 100