View source: R/xmu_robust_SB_savalei.R
| calculateStrictSb | R Documentation |
calculateStrictSb calculates the Satorra-Bentler (2010) scaled difference
chi-square test (the "strictly positive" design relative to SB-2001, which
can yield a negative scaling constant c_d). The returned statistic is
only interpretable when both models share the same WLS moments, weight
matrix, and N, and when the freer model's optimized discrepancy is not
larger than the nested model's (F_{nested} \ge F_{base}).
Non-monotone F (typically failed optimization) returns NA with a warning.
calculateStrictSb(baseModel, nestedModel)
baseModel |
The base model (more parameters) |
nestedModel |
The nested model (fewer parameters) |
A named vector containing strictSbChisq, deltaDf, scalingFactor, and pValue.
May carry attribute nonMonotoneF = TRUE when \Delta F < 0.
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