DiscrimFedWynn: Hybrid Algorithm of PSO and L-BFGS for Finding Optimal...
In PingYangChen/DiscrimOD: DiscrimOD: Finding Optimal Discrimination Designs by Hybridizing Particle Swarm and L-BFGS Algorithms
View source: R/DiscrimFedorov.R
Description
Implement the hybridized PSO algorithm to find the optimal discrimination designs
for 2 or more than 2 competing models
Usage
1
2
DiscrimFedWynn(MODEL_INFO, DISTANCE, dsLower, dsUpper, FED_INFO = NULL,
LBFGS_INFO = NULL, seed = NULL, verbose = TRUE, environment, ...)
References
Atkinson, A. C. and Fedorov, V. V. (1975a). The design of experiments for discriminating between two rival models. Biometrika, 62(1):57-70.
Lopez-Fidalgo, J., Tommasi, C., and Trandafir, P. C. (2007). An optimal experimental design criterion for discriminating between non-normal models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 69(2):231-242.
PingYangChen/DiscrimOD documentation built on Jan. 30, 2022, 5:25 p.m.
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View source: R/DiscrimFedorov.R
Description
Implement the hybridized PSO algorithm to find the optimal discrimination designs for 2 or more than 2 competing models
Usage
1 2 | DiscrimFedWynn(MODEL_INFO, DISTANCE, dsLower, dsUpper, FED_INFO = NULL,
LBFGS_INFO = NULL, seed = NULL, verbose = TRUE, environment, ...)
|
References
Atkinson, A. C. and Fedorov, V. V. (1975a). The design of experiments for discriminating between two rival models. Biometrika, 62(1):57-70.
Lopez-Fidalgo, J., Tommasi, C., and Trandafir, P. C. (2007). An optimal experimental design criterion for discriminating between non-normal models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 69(2):231-242.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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