Fix parameters during optimization

The methods make_fixed and make_tunable can be used to modify the 'tunability' status of parameters in a TwoStageDesign object. Tunable parameters are optimized over, non-tunable ('fixed') parameters are considered given and not altered during optimization.

Usage

make_tunable(x, ...)

# S4 method for class 'TwoStageDesign'
make_tunable(x, ...)

make_fixed(x, ...)

# S4 method for class 'TwoStageDesign'
make_fixed(x, ...)

Arguments

x

TwoStageDesign object

...

unquoted names of slots for which the tunability status should be changed.

Value

an updated object of class TwoStageDesign

See also

TwoStageDesign, tunable_parameters for converting tunable parameters of a design object to a numeric vector (and back), and minimize for the actual minimzation procedure

Examples

design <- TwoStageDesign(25, 0, 2, 25, 2, order = 5)
# default: all parameters are tunable (except integration pivots,
# weights and tunability status itself)
design@tunable
#>             n1            c1f            c1e      n2_pivots      c2_pivots 
#>           TRUE           TRUE           TRUE           TRUE           TRUE 
#> x1_norm_pivots        weights        tunable 
#>          FALSE          FALSE          FALSE 

# make n1 and the pivots of n2 fixed (not changed during optimization)
design <- make_fixed(design, n1, n2_pivots)
design@tunable
#>             n1            c1f            c1e      n2_pivots      c2_pivots 
#>          FALSE           TRUE           TRUE          FALSE           TRUE 
#> x1_norm_pivots        weights        tunable 
#>          FALSE          FALSE          FALSE 

# make them tunable again
design <- make_tunable(design, n1, n2_pivots)
design@tunable
#>             n1            c1f            c1e      n2_pivots      c2_pivots 
#>           TRUE           TRUE           TRUE           TRUE           TRUE 
#> x1_norm_pivots        weights        tunable 
#>          FALSE          FALSE          FALSE