Plot histogram of R_hat values for hmde_fit object.

Usage

hmde_plot_Rhat_hist(fit)

Arguments

fit: hmde_fit object output from hmde_run

Value

ggplot object

Examples

# basic usage of hmde_plot_Rhat_hist
hmde_model("constant_single_ind") |>
  hmde_assign_data(Trout_Size_Data)|>
  hmde_run(chains = 2, iter = 1000,
           verbose = FALSE, show_messages = FALSE) |>
  hmde_plot_Rhat_hist()
#> 
#> SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 1).
#> Chain 1: 
#> Chain 1: Gradient evaluation took 1.6e-05 seconds
#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
#> Chain 1: Adjust your expectations accordingly!
#> Chain 1: 
#> Chain 1: 
#> Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
#> Chain 1: Iteration: 100 / 1000 [ 10%]  (Warmup)
#> Chain 1: Iteration: 200 / 1000 [ 20%]  (Warmup)
#> Chain 1: Iteration: 300 / 1000 [ 30%]  (Warmup)
#> Chain 1: Iteration: 400 / 1000 [ 40%]  (Warmup)
#> Chain 1: Iteration: 500 / 1000 [ 50%]  (Warmup)
#> Chain 1: Iteration: 501 / 1000 [ 50%]  (Sampling)
#> Chain 1: Iteration: 600 / 1000 [ 60%]  (Sampling)
#> Chain 1: Iteration: 700 / 1000 [ 70%]  (Sampling)
#> Chain 1: Iteration: 800 / 1000 [ 80%]  (Sampling)
#> Chain 1: Iteration: 900 / 1000 [ 90%]  (Sampling)
#> Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
#> Chain 1: 
#> Chain 1:  Elapsed Time: 0.05 seconds (Warm-up)
#> Chain 1:                0.036 seconds (Sampling)
#> Chain 1:                0.086 seconds (Total)
#> Chain 1: 
#> 
#> SAMPLING FOR MODEL 'constant_single_ind' NOW (CHAIN 2).
#> Chain 2: 
#> Chain 2: Gradient evaluation took 1.2e-05 seconds
#> Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
#> Chain 2: Adjust your expectations accordingly!
#> Chain 2: 
#> Chain 2: 
#> Chain 2: Iteration:   1 / 1000 [  0%]  (Warmup)
#> Chain 2: Iteration: 100 / 1000 [ 10%]  (Warmup)
#> Chain 2: Iteration: 200 / 1000 [ 20%]  (Warmup)
#> Chain 2: Iteration: 300 / 1000 [ 30%]  (Warmup)
#> Chain 2: Iteration: 400 / 1000 [ 40%]  (Warmup)
#> Chain 2: Iteration: 500 / 1000 [ 50%]  (Warmup)
#> Chain 2: Iteration: 501 / 1000 [ 50%]  (Sampling)
#> Chain 2: Iteration: 600 / 1000 [ 60%]  (Sampling)
#> Chain 2: Iteration: 700 / 1000 [ 70%]  (Sampling)
#> Chain 2: Iteration: 800 / 1000 [ 80%]  (Sampling)
#> Chain 2: Iteration: 900 / 1000 [ 90%]  (Sampling)
#> Chain 2: Iteration: 1000 / 1000 [100%]  (Sampling)
#> Chain 2: 
#> Chain 2:  Elapsed Time: 0.052 seconds (Warm-up)
#> Chain 2:                0.036 seconds (Sampling)
#> Chain 2:                0.088 seconds (Total)
#> Chain 2: 
#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.