randN: Define a prior (assumed) model parameter as...

In jhelvy/cbcTools: Choice-Based Conjoint Experiment Design Generation and Power Evaluation in R

Define a prior (assumed) model parameter as normally-distributed.

Description

Define a prior (assumed) model parameter as normally-distributed. Used in the cbc_choices() function.

Usage

randN(mean = 0, sd = 1)

Arguments

mean	Vector of means, defaults to 0.
sd	Vector of standard deviations, defaults to 1.

Value

A list defining normally-distributed parameters of the prior (assumed) utility model used to simulate choices in the cbc_choices() function.

Examples

# Insert example

jhelvy/cbcTools documentation built on Feb. 5, 2024, 2:52 p.m.