model_pmp {bdsm} | R Documentation |
Graphs of the prior and posterior model probabilities for the best individual models
Description
This function draws four graphs of prior and posterior model probabilities for the best individual models:
a) The results with binomial model prior (based on PMP - posterior model probability)
b) The results with binomial-beta model prior (based on PMP - posterior model probability)
Models on the graph are ordered according to their posterior model probability.
Arguments
bma_list |
bma_list object (the result of the bma function) |
top |
The number of the best model to be placed on the graphs |
Value
A list with three graphs with prior and posterior model probabilities for individual models:
The results with binomial model prior (based on PMP - posterior model probability)
The results with binomial-beta model prior (based on PMP - posterior model probability)
On graph combining the aforementioned graphs
Examples
library(magrittr)
data_prepared <- bdsm::economic_growth[, 1:6] %>%
bdsm::feature_standardization(
excluded_cols = c(country, year, gdp)
) %>%
bdsm::feature_standardization(
group_by_col = year,
excluded_cols = country,
scale = FALSE
)
bma_results <- bma(
model_space = bdsm::small_model_space,
df = data_prepared,
round = 3,
dilution = 0
)
model_graphs <- model_pmp(bma_results, top = 16)