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Two-Phase Experimental Designs under Correlated Observations
TwoPhaseCorR
is an R package for constructing and
evaluating two-phase experimental designs, particularly in the presence
of correlated observations between phases. It supports the computation
of information matrices and Canonical Efficiency Factors (CEF), helping
researchers identify efficient designs under various intra-block
correlation scenarios.
v
).rho
).rho
to
guide optimal design choices.```r install.packages(“TwoPhaseCorR”)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.