pblm: Model Probability
In manschmi/blmr: Bayesian Linear Regression

Probability of observing the response given a (bayesian) linear regression model.

1	pblm(object, a_prior = 1, b_prior = 1, use_log = TRUE)

`object`	a `blm` object.
`a_prior`	prior value for parameter a of inv. gamma distribution.
`b_prior`	prior value for parameter b of inv. gamma distribution.
`use_log`	compute the log-probability.

Computes as described in https://en.wikipedia.org/wiki/Bayesian_linear_regression. By default the log-probability is computed as non log-transformed probabilites are not solvable.

manschmi/blmr documentation built on May 21, 2019, 11:25 a.m.