我想仅为某些系数并根据函数手动设置 brms::brm 模型的起始值（不是：先验）。
我当前的代码是这样的（你可以忽略 x 变量和 unit，我只想操作 z 和 as.factorF1 和 {{ 1}}):
as.factorF2此代码有效；但是，我想手动设置一些起始值 (library(tidyverse)
library(brms)
df <- data.frame(x1 = rnorm(100, mean = 1, sd = 2),
x2 = rnorm(100, mean = 2, sd = 2),
x3 = rnorm(100, mean = 3, sd = 2),
z = rnorm(100, mean = 4, sd = 2),
Fa = wakefield::r_sample_factor(n = 100, x = c(1, 2, 3)),
unit = wakefield::r_sample_factor(n = 100, x = 1:10),
Y = rnorm(100, mean = 15, sd = 5)
) %>% tibble::tibble()
brmsmodel <- brm(Y ~ as.factor(Fa) + # Fa has levels 1, 2, 3
x1 + x2 + x3 + z + (1 + x1 | unit),
data = df,
prior = c(prior(normal(0, 1), class = "b", coef = "z"),
prior_string("normal(0, 1)", class = "b", coef = paste("as.factorFa", 2:3, sep=""))),
chains = 1, iter = 25, warmup = 10, seed = 123,
init = "0")
) 以从均匀分布 inits 中提取，类似于先验。
我想要这样的东西（伪代码）
(X ~ U[0,1])唯一的其他类似 question 未得到答复，并且没有特别要求为 某些系数起始值调用函数。
我只找到了 inits: 1) init = runif(0, 1), class = "b", coef = "z"
2) init = runif(0, 1), class = "b", coef = "as.factorFa2"
3) init = runif(0, 1), class = "b", coef = "as.factorFa2"
other inits: random
（将所有起始值设置为 0）或默认的 inits = "0"。有人可以建议如何做到这一点吗？提前致谢！