randLN {cbcTools}

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

Description

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

Usage

randLN(mean = 0, sd = 1)

Arguments

mean

Mean of the distribution on the log scale, defaults to 0.

sd

Standard deviation of the distribution on the log scale, defaults to 1.

Value

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

Examples

# Insert example