View source: R/efficiency_criterions.R
| DBerr | R Documentation | 
Function to calculate the DB-error given a design, and parameter values.
DBerr(par.draws, des, n.alts, weights = NULL, mean = TRUE)
par.draws | 
 Numeric matrix in which each row is a draw from a multivariate parameter distribution.  | 
des | 
 A design matrix in which each row is an alternative.  | 
n.alts | 
 Numeric value indicating the number of alternatives per choice set.  | 
weights | 
 A numeric vector containing weights of   | 
mean | 
 A logical value indicating whether the mean (DB) error should be returned or not. Default = TRUE.  | 
Numeric value indicating the DB-error of the design given the parameter draws.
des <- example_design
mu = c(-1, -1.5, -1, -1.5, 0.5, 1)
Sigma = diag(length(mu))
par.draws <- MASS::mvrnorm(100, mu = mu, Sigma = Sigma)
n.alts = 2
DBerr(par.draws = par.draws, des = des, n.alts = n.alts)
mu = c(-0.5, -1, -0.5, -1, 0.5, 1)
Sigma = diag(length(mu))
par.draws <- MASS::mvrnorm(100, mu = mu, Sigma = Sigma)
DBerr(par.draws = par.draws, des = des, n.alts = n.alts)
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