Description Usage Arguments Examples
Generate random parameter values and test, whether the Jacobian has full rank.
1 2 |
N |
number of persons |
J |
number of items |
revItem |
vector of length J specifying reversed items (1=reversed, 0=regular) |
traitItem |
vector of length J specifying the underlying traits (e.g., indexed from 1...5). Standard: only a single trait is measured by all items. If the Big5 are measured, might be something like c(1,1,1,2,2,2,...,5,5,5,5) |
type |
either "2012", "ext", "ext2", or "ext3" |
fixed.theta |
if TRUE, assumes that mean of theta parameters is assumed to be fixed at zero |
rep |
number of points in parameter space to check identification |
betas |
optional matrix with beta parameters |
theta |
optional matrix with theta parameters (note that the parameters of the first person will be set to to minus the theta-column means if |
1 2 | # Standard model identified, even without reversed items:
jacobian_irtree(N=6, J=8, revItem=rep(1,8), type=2012, rep=5)
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