show_intercept = FALSE doesn't work for brms ordinal models
rbcavanaugh opened this issue · 5 comments
rbcavanaugh commented
Perhaps this is intentional, but I have would like to only show the non-intercepts for an cumulative probit model from brms. show_intercept doesn't seem to work here though. As usual - thanks for a fantastic suite of packages.
library(brms)
library(easystats)
iris$Petal.Length_fct = round(iris$Petal.Length)
model <- brm(Petal.Length_fct ~ a_Petal.Width * Species,
family = cumulative("probit"),
data = iris,
chains = 1,
cores = 1,
backend = "cmdstan")
result <- p_direction(model)
plot(result, priors = TRUE, show_intercept = FALSE)
sessioninfo::session_info()
─ Session info ───────────────────────────────────────────────────────────────────────────────────────
setting value
version R version 4.3.0 (2023-04-21)
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date 2023-07-03
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pandoc 3.1.1 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/ (via rmarkdown)
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rbcavanaugh commented
Adding that - if priors is set to TRUE, then filtering using the Parameters argument of p_direction doesn't work as a solution (which is my actual use case...)
model <- brm(Petal.Length_fct ~ Petal.Width * Species,
family = cumulative("probit"),
data = iris,
chains = 1,
cores = 1,
prior = prior(normal(0, 2), class = "b"),
backend = "cmdstan")
result <- p_direction(model, parameters = "Species")
plot(result, priors = TRUE, show_intercept = FALSE)
bwiernik commented
thanks! this is just a bug in the detection of intercept parameter names. will fix
bwiernik commented
The second example is an issue with the prior layer not correctly inheriting the parameters argument from parameters(). That is also fixed in #298.
bwiernik commented
These are fixed on the main branch now @rbcavanaugh
rbcavanaugh commented
Thank you so much!!