compare_fit | R Documentation |
modsem
modelsCompare the fit of two models using the likelihood ratio test (LRT).
hypothesis model, and est_h1
the alternative hypothesis model. Importantly,
the function assumes that est_h0
does not have more free parameters
(i.e., degrees of freedom) than est_h1
.
alternative hypothesis model
compare_fit(est_h1, est_h0, ...)
est_h1 |
object of class |
est_h0 |
object of class |
... |
additional arguments passed to the underlying comparison function. E.g.,
for |
## Not run:
m1 <- "
# Outer Model
X =~ x1 + x2 + x3
Y =~ y1 + y2 + y3
Z =~ z1 + z2 + z3
# Inner model
Y ~ X + Z + X:Z
"
# LMS approach
est_h1 <- modsem(m1, oneInt, "lms")
est_h0 <- estimate_h0(est_h1, calc.se=FALSE) # std.errors are not needed
compare_fit(est_h1 = est_h1, est_h0 = est_h0)
# Double centering approach
est_h1 <- modsem(m1, oneInt, method = "dblcent")
est_h0 <- estimate_h0(est_h1, oneInt)
compare_fit(est_h1 = est_h1, est_h0 = est_h0)
# Constrained approach
est_h1 <- modsem(m1, oneInt, method = "ca")
est_h0 <- estimate_h0(est_h1, oneInt)
compare_fit(est_h1 = est_h1, est_h0 = est_h0)
## End(Not run)
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