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CycDesigN will generate optimal or near optimal experimental designs for your trials. Whether you are working with field, phenotypic platform, laboratory, clinical or taste testing trials, CycDesigN supports gains in the efficiency and effectiveness of your trials, which can reduce costs and improve outcomes.

Features of CycDesigN

Resolvable designs have the treatments arranged in groups of blocks or rows and columns such that each treatment occurs once in each set. They can be latinized, t-latinized or partially latinized
Resolvable designs have the treatments arranged in groups of blocks or rows and columns such that each treatment occurs once in each set. They can be latinized, t-latinized or partially latinized
Non-resolvable designs are available for situations where the design cannot be resolved into replicate groups
Non-resolvable designs are available for situations where the design cannot be resolved into replicate groups
Multi-location p-rep designs have test treatments appearing either zero, once or twice in each location, such that each of these treatments occur an equal number of times in the design
Multi-location p-rep designs have test treatments appearing either zero, once or twice in each location, such that each of these treatments occur an equal number of times in the design
Single location p-rep designs are an alternative to unreplicated designs. A number of standard treatments (controls) are typically included for comparative purposes and to provide an estimate of error
Single location p-rep designs are an alternative to unreplicated designs. A number of standard treatments (controls) are typically included for comparative purposes and to provide an estimate of error
Crossover designs are used when sequences of treatments are applied to several subjects over a number of time periods
Crossover designs are used when sequences of treatments are applied to several subjects over a number of time periods
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