Calculates Q2 predictive relevance statistics based on comparing predictions and real data.
q2(originalData, predictedData, model = NULL)A matrix or a data.frame containing the original data.
A matrix or a data.frame containing the predicted data that are compared against the original data to calculate the predictive relevance statistic.
There are two options for this argument: 1. lavaan script or lavaan parameter
table, or 2. a list containing three matrices
inner, reflective, and formative defining the free regression paths
in the model.
A list with total, block, and indicator elements containing
the Q2 predictive relevance statistics for the full dataset, for each indicator block, and
for each indicator
The Q2 statistic is calculated as 1-sse/sso where sse is the sum of
squared prediction errors based on comparison of the originalData and
predictedData and sso is based on prediction with mean. If the predicted
data contain the groups attribute, which indicates the groups used in blindfolding
or cross-validation, the means are calculated separately for each group excluding the
predicted group from the calculation.