Description Usage Arguments Details Value References Examples
Calculates the likelihod ratio chi-square statistic based on observed and expected counts.
1 | lr(observed, expected)
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observed |
a vector giving the observed frequencies. |
expected |
a vector giving the expected frequencies. |
No details in the moment.
numeric giving the likelihood ratio chi-square statistic.
Stemmler, M. (2014). Person-Centered Methods – Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables. Cham Heidelberg New York Dordrecht London: Springer.
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######### some examples ########
data(newborns)
newborns
designmatrix <- design_cfg_cfa(kat=c(2,2)) # generate an designmatrix (only main effects)
observed <- newborns[,3] # extract observed counts
expected <- expected_cfa(des=designmatrix, observed=observed) # calculation of expected counts
lr(observed,expected) # calculation of the likelihood ratio chi-square statistic
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