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Fit a Bayesian nonparametric factorial ANOVA model with Bernoulli-Poisson kernel

Usage

anova_bnp_berpoi(
  y,
  X,
  iter = 4000L,
  warmup = 2000L,
  seed = 1L,
  rho = 1,
  a = 1,
  b = 1,
  a1 = 2,
  b1 = 4,
  alpha0 = 1,
  beta0 = 1,
  lb = min(y),
  ub = max(y)
)

Arguments

y

An integer response vector.

X

A design matrix (full of integer covariates).

iter

the total number of mcmc iterations.

warmup

the number of warmup mcmc iterations.

seed

the seed for random number generation.

rho

the hyperparameter \(\rho\).

a

the hyperparameter \(a\).

b

the hyperparameter \(b\).

a1

the hyperparameter \(a_1\).

b1

the hyperparameter \(b_1\).

alpha0

the hyperparameter \(\alpha_0\).

beta0

the hyperparameter \(\beta_0\).

Value

An object of class anova_bnp_model.