Hi,
I am having trouble running a model that worked fine a few months ago. This is a model from Solomon Kurz blog (Sum-score effect sizes for multilevel Bayesian cumulative probit models | A. Solomon Kurz) Below is a reproducible example, and below that is the error message I am getting.
d <- psych::bfi %>%
mutate(male = ifelse(gender == 1, 1, 0),
female = ifelse(gender == 2, 1, 0)) %>%
drop_na() %>%
slice_sample(n = 200) %>%
mutate(id = 1:n()) %>%
select(id, male, female, N1:N5) %>%
pivot_longer(N1:N5, names_to = "item", values_to = "rating")
fit8 <- brm(
data = d,
family = cumulative(probit),
bf(rating | thres(gr = item) ~ 1 + male + (1 | id) + (1 | item)) +
lf(disc ~ 0 + male + (1 | id) + (1 | item),
# don't forget this line
cmc = FALSE),
prior = c(prior(normal(-0.97, 1), class = Intercept, coef = 1, group = N1),
prior(normal(-0.43, 1), class = Intercept, coef = 2, group = N1),
prior(normal( 0.00, 1), class = Intercept, coef = 3, group = N1),
prior(normal( 0.43, 1), class = Intercept, coef = 4, group = N1),
prior(normal( 0.97, 1), class = Intercept, coef = 5, group = N1),
prior(normal(-0.97, 1), class = Intercept, coef = 1, group = N2),
prior(normal(-0.43, 1), class = Intercept, coef = 2, group = N2),
prior(normal( 0.00, 1), class = Intercept, coef = 3, group = N2),
prior(normal( 0.43, 1), class = Intercept, coef = 4, group = N2),
prior(normal( 0.97, 1), class = Intercept, coef = 5, group = N2),
prior(normal(-0.97, 1), class = Intercept, coef = 1, group = N3),
prior(normal(-0.43, 1), class = Intercept, coef = 2, group = N3),
prior(normal( 0.00, 1), class = Intercept, coef = 3, group = N3),
prior(normal( 0.43, 1), class = Intercept, coef = 4, group = N3),
prior(normal( 0.97, 1), class = Intercept, coef = 5, group = N3),
prior(normal(-0.97, 1), class = Intercept, coef = 1, group = N4),
prior(normal(-0.43, 1), class = Intercept, coef = 2, group = N4),
prior(normal( 0.00, 1), class = Intercept, coef = 3, group = N4),
prior(normal( 0.43, 1), class = Intercept, coef = 4, group = N4),
prior(normal( 0.97, 1), class = Intercept, coef = 5, group = N4),
prior(normal(-0.97, 1), class = Intercept, coef = 1, group = N5),
prior(normal(-0.43, 1), class = Intercept, coef = 2, group = N5),
prior(normal( 0.00, 1), class = Intercept, coef = 3, group = N5),
prior(normal( 0.43, 1), class = Intercept, coef = 4, group = N5),
prior(normal( 0.97, 1), class = Intercept, coef = 5, group = N5),
prior(normal(0, 1), class = b),
prior(normal(0, log(2) / 2), class = b, dpar = disc),
prior(exponential(1), class = sd),
prior(exponential(1 / 0.463), class = sd, dpar = disc)),
cores = 4,
seed = 1,
init_r = 0.2,
control = list(adapt_delta = .99)
)
Error message:
Compilation ERROR, function(s)/method(s) not created!
Error in compileCode(f, code, language = language, verbose = verbose) :
typedef double local_scalar_t__; ^36 warnings generated.error: unknown target CPU 'apple-a12'note: valid target CPU values are: i386, i486, winchip-c6, winchip2, c3, i586, pentium, pentium-mmx, pentiumpro, i686, pentium2, pentium3, pentium3m, pentium-m, c3-2, yonah, pentium4, pentium4m, prescott, nocona, core2, penryn, bonnell, atom, silvermont, slm, goldmont, goldmont-plus, tremont, nehalem, corei7, westmere, sandybridge, corei7-avx, ivybridge, core-avx-i, haswell, core-avx2, broadwell, skylake, skylake-avx512, skx, cascadelake, cooperlake, cannonlake, icelake-client, rocketlake, icelake-server, tigerlake, sapphirerapids, alderlake, knl, knm, lakemont, k6, k6-2, k6-3, athlon, athlon-tbird, athlon-xp, athlon-mp, athlon-4, k8, athlon64, athlon-fx, opteron, k8-sse3, athlon64-sse3, opteron-sse3, amdfam10, barcelona, btver1, btver2, bdver1, bdver2, bdver3, bdver4, znver1, znver2, znver3, x86-64, geodemake: *** [file17d23c8ed8d1.o] Error 1
R version 4.2.2 (2022-10-31)
Running under: macOS Ventura 13.2.1
I would be grateful for any help anyone can provide.