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TwoPhaseCorR

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.


Features


Installation

From CRAN (after approval)

```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.