Package: pRepDesigns 1.2.0

Vinaykumar L.N.

pRepDesigns: Partially Replicated (p-Rep) Designs

Early generation breeding trials are to be conducted in multiple environments where it may not be possible to replicate all the lines in each environment due to scarcity of resources. For such situations, partially replicated (p-Rep) designs have wide application potential as only a proportion of the test lines are replicated at each environment. A collection of several utility functions related to p-Rep designs have been developed. Here, the package contains six functions for a complete stepwise analytical study of these designs. Five functions pRep1(), pRep2(), pRep3(), pRep4() and pRep5(), are used to generate five new series of p-Rep designs and also compute average variance factors and canonical efficiency factors of generated designs. A fourth function NCEV() is used to generate incidence matrix (N), information matrix (C), canonical efficiency factor (E) and average variance factor (V). This function is general in nature and can be used for studying the characterization properties of any block design. A construction procedure for p-Rep designs was given by Williams et al.(2011) <doi:10.1002/bimj.201000102> which was tedious and time consuming. Here, in this package, five different methods have been given to generate p-Rep designs easily.

Authors:Vinaykumar L.N. [aut, cre], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Ashutosh Dalal [aut, ctb], Sayantani Karmakar [aut, ctb], Vinayaka [aut, ctb]

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pRepDesigns/json (API)

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6 exports 0.00 score 0 dependencies 13 scripts 176 downloads

Last updated 6 months agofrom:486111769b. Checks:OK: 2. Indexed: yes.

Exports:NCEVpRep1pRep2pRep3pRep4pRep5

Dependencies: