set_prior: Change priors for available parameters

In JasperHG90/blm: Bayesian linear model

Description

Change priors for available parameters

Usage

set_prior(x, par, ...)

Arguments

par	name of the coefficient, given as b0 (intercept) or b1, ... for coefficients.
...	other arguments passed to function. In the case of intercept and coefficients, these are 'mu' and 'sd' (prior means and variances). In the case of the residual variance, the rate and shape/scale parameter must be passed as 'alpha' and 'beta'

Value

updated blm object with new priors

Examples

bfit <- set_prior(bfit,"b0", mu=40, sd=7)
bfit <- set_prior(bfit, "sigma", alpha=2, beta=1)

JasperHG90/blm documentation built on Sept. 4, 2019, 11:16 a.m.