LLchisq | R Documentation |
Derivation of log-likelihoods to be used in determining the goodness-of-fit for piecewise structural equation models.
LLchisq( modelList, basis.set = NULL, direction = NULL, interactions = FALSE, conserve = FALSE )
modelList |
A list of structural equations created using |
basis.set |
An optional list of independence claims. |
direction |
A |
interactions |
whether interactions should be included in basis set. Default is FALSE |
conserve |
Whether the most conservative log-likelihood should be returned; for use in special cases (see Details). Default is FALSE. |
Here, a list of saturated models is first derived from the list of structured equations using the basis set. Then, the differences in summed log-likelihoods are computed and used to calculate the Chi-squared statistic.
a data.frame corresponding to the Chi-squared statistic, d.f., and P-value
Jon Lefcheck <LefcheckJ@si.edu>
Shipley, Bill, and Jacob C. Douma. "Generalized AIC and chi‐squared statistics for path models consistent with directed acyclic graphs." Ecology 101.3 (2020): e02960.
basisSet
, dSep
mod <- psem( lm(rich ~ cover, data = keeley), lm(cover ~ firesev, data = keeley), lm(firesev ~ age, data = keeley), data = keeley ) LLchisq(mod)
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