[R-sig-ME] glmmTMB syntax to brm() syntax
Ben Bolker
bbo|ker @end|ng |rom gm@||@com
Thu Oct 24 18:10:56 CEST 2024
See below. The two models (glmmTMB and brms) give sufficiently
similar estimates that I'm confident that the specifications match.
set.seed(101)
library(glmmTMB)
library(brms)
library(broom.mixed)
library(tidyverse)
dd <- data.frame(ID = rep(1:100, each = 10),
TRIAL_INDEX = rep(1:10, 100),
con = rnorm(1000))
dd$pic_percent <- simulate_new(
~ con + (0+con | ID) +
(0+con | TRIAL_INDEX),
ziformula = ~1,
family = beta_family(),
newdata = dd,
newparams = list(beta = c(0, 0.5), theta = rep(-1,2),
betadisp = 1, betazi = -2))[[1]]
m1 <- glmmTMB(pic_percent ~ con + (0+con | ID) +
(0+con | TRIAL_INDEX),
data=dd,
family = beta_family(),
ziformula = ~1)
##
https://mvuorre.github.io/posts/2019-02-18-analyze-analog-scale-ratings-with-zero-one-inflated-beta-models/
m2 <- brm(
bf(pic_percent ~ con + (0+con | ID) +
(0+con | TRIAL_INDEX),
zi = ~ 1),
data=dd,
family = zero_inflated_beta()
)
(purrr::map_dfr(list(glmmTMB = m1, brms = m2), tidy, .id = "model")
|> select(model, effect, component, group, term, estimate)
|> pivot_wider(names_from = model, values_from = estimate)
)
On 10/23/24 19:13, Simon Harmel wrote:
> Hello all,
>
> I was wondering what is the closest equivalent of my glmmTMB syntax below
> in brms::brm() syntax?
>
> glmmTMBglmmTMB(pic_percent ~ con +
> (0+con | ID) +
> (0+con | TRIAL_INDEX),
> data=DATA,
> family = beta_family(),
> ziformula = ~1)
>
>
> Thank you,
>
> Simon
>
> [[alternative HTML version deleted]]
>
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--
Dr. Benjamin Bolker
Professor, Mathematics & Statistics and Biology, McMaster University
Director, School of Computational Science and Engineering
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