effects_priors_lp.stan File Reference

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Functions
void	effect_priors_lp (vector beta, vector beta_sd, array[,] real beta_sd_p, int fixed, int random)

Function Documentation

effect_priors_lp()

void effect_priors_lp	(	vector	beta,
		vector	beta_sd,
		array real	beta_sd_p[,],
		int	fixed,
		int	random
	)

Specify priors for regression effects

This function sets priors for the regression effects and their standard deviations. It allows for the specification of both fixed and random effects, with the option to apply a normal distribution to the standard deviations of the random effects.

Parameters

beta	Vector of regression effects.
beta_sd	Vector of standard deviations for the regression effects.
beta_sd_p	Parameters for the normal prior on beta_sd. The first row indicates the mean, and the second row the standard deviation.
fixed	Binary flag indicating if fixed effect priors are to be set (1) or not (0).
random	Binary flag indicating if random effect priors are to be set (1) or not (0).

Note

The function applies the following priors based on the flags:

1. If fixed is true, a standard normal prior is applied to beta.
2. If both fixed and random are true, a normal prior is applied to beta_sd, with parameters specified in beta_sd_p. This allows for flexible prior specification depending on the nature of the regression effects being modeled.

Definition at line 29 of file effects_priors_lp.stan.