Show the constraints of a cognitive model

constraints(x) prints the parameter constraints of a cognitive model named x nicely formatted

Usage

constraints(x, ...)

# S3 method for cm
constraints(x, ...)

Arguments

x

a model object of class cm

...

other arguments (ignored)

Examples

D <- data.frame(x = 1, y = 1, z = 1)
M <- bayes_beta(y ~ x + z, D, fix = "start")
#> Error in bayes_beta(y ~ x + z, D, fix = "start"): could not find function "bayes_beta"
constraints(M)    # view the parspace
#> Error in constraints(M): object 'M' not found