Number of Parameters, Attributes, and Stimuli

npar(m) counts the parameters in a cm, nstim(m) counts stimuli, natt(m) counts attributes by stimulus, nobs(m) counts observations in the data of a model.

Usage

npar(x)

# S3 method for cm
npar(x, type = "all", ...)

Arguments

x

a model object

...

ignored

type

A string: "all" counts all parameters, "free" counts the free parameters, "fix" countes the fixed parameters, "constrained" counts constrained parameters.

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"
npar(M) # 3
#> Error in npar(M): object 'M' not found
npar(M)
#> Error in npar(M): object 'M' not found