Turns a fitdists object into a tidy tibble of the estimates (est) and standard errors (se) by the terms (term) and distributions (dist).
Usage
# S3 method for class 'fitdists'
tidy(x, all = FALSE, ...)See also
Other generics:
augment.fitdists(),
glance.fitdists()
Examples
fits <- ssd_fit_dists(ssddata::ccme_boron)
tidy(fits)
#> # A tibble: 15 × 4
#> dist term est se
#> <chr> <chr> <dbl> <dbl>
#> 1 gamma scale 25.1 7.64
#> 2 gamma shape 0.950 0.223
#> 3 lgumbel locationlog 1.92 0.247
#> 4 lgumbel scalelog 1.23 0.173
#> 5 llogis locationlog 2.63 0.248
#> 6 llogis scalelog 0.740 0.114
#> 7 lnorm meanlog 2.56 0.235
#> 8 lnorm sdlog 1.24 0.166
#> 9 lnorm_lnorm meanlog1 0.949 0.318
#> 10 lnorm_lnorm meanlog2 3.20 0.253
#> 11 lnorm_lnorm pmix 0.284 0.123
#> 12 lnorm_lnorm sdlog1 0.554 0.212
#> 13 lnorm_lnorm sdlog2 0.769 0.194
#> 14 weibull scale 23.5 4.86
#> 15 weibull shape 0.966 0.145
tidy(fits, all = TRUE)
#> # A tibble: 24 × 4
#> dist term est se
#> <chr> <chr> <dbl> <dbl>
#> 1 gamma log_scale 3.22 0.304
#> 2 gamma log_shape -0.0511 0.234
#> 3 gamma scale 25.1 7.64
#> 4 gamma shape 0.950 0.223
#> 5 lgumbel locationlog 1.92 0.247
#> 6 lgumbel log_scalelog 0.209 0.140
#> 7 lgumbel scalelog 1.23 0.173
#> 8 llogis locationlog 2.63 0.248
#> 9 llogis log_scalelog -0.301 0.154
#> 10 llogis scalelog 0.740 0.114
#> # ℹ 14 more rows