Hierarchical Bayesian models specify statistical priors on parameters and hyperpriors on the parameters of the prior distributions.
Questions tagged [hierarchical-bayesian]
109 questions
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What is "linear.predictors" as extractable from stan_glm() object in "rstanarm" package?
I'm writing to find out what is "linear.predictors" as returned by
stan_glm() object.
Apparently, "linear.predictors" is not the same as the predictor(s) provided by the user (documentation didn't help).
In any case, is there a way to obtain…
rnorouzian
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meaning of brm regression parameters
I am using the brms package to build a multilevel model with a gaussian process on the predictor, x. The model looks like this: make_stancode(y ~ gp(x, cov = "exp_quad", by= groups) + (1| groups), data = dat) so a gp on the x predictor and a…
user3022875
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Censored model JAGS count data
I'm coding a hierarchical Poisson model in JAGS+R for count data for censored data.
A is a matrix, rows are the different places and the columns are the different time intervals in which I count the rainy days. As covariates I have a set of X_k$…
John F.
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difficulty calling a file='var.dat'
I have looked through the help files and have not found my answer.
I have a .dat file which lists variables and contains their data.
in the 'var.dat' file the first lines look like this: (I've cut it down for ease of viewing)
"N" <- 55872
"Nc" <-…
NikFord
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