set_hypothesis: Add a hypothesis to a blm model

In JasperHG90/blm: Bayesian linear model

Description

To evaluate informative hypotheses, users may add these using this function. See details for more information.

Usage

set_hypothesis(x, name, hypothesis_user)

Arguments

x	a blm object
name	name for the hypothesis (e.g. 'H1')
hypothesis_user	a hypothesis.

Details

This function accepts two kind of hypotheses. The first are 'simple' or single hypotheses, such as:

• a > b

• a < b

• a = b

• a-b < 1

• 2*a > 0

• ...

The second kind are 'complex' or 'multiple' hypotheses which are chained with '&' (AND). Examples are:

• a = 0 & b = 0

• a < b & b < c

• a < .1 & a > .1 OR |a| > .1

• a-b < .1 & a-b > .1 OR |a-b| > .1

• ...

Value

a blm object with a new or updated 'hypotheses' object

See Also

cite Hoitink

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