| get_lower_boundary_design | R Documentation | 
The optimization method minimize is based on the package
nloptr. This requires upper and lower boundaries for optimization.
Such boundaries can be computed via lower_boundary_design
respectively upper_boundary_design.
They are implemented by default in minimize.
Note that minimize allows the user to define its own
boundary designs, too.
get_lower_boundary_design(initial_design, ...)
get_upper_boundary_design(initial_design, ...)
## S4 method for signature 'OneStageDesign'
get_lower_boundary_design(initial_design, n1 = 1, c1_buffer = 2, ...)
## S4 method for signature 'GroupSequentialDesign'
get_lower_boundary_design(
  initial_design,
  n1 = 1,
  n2_pivots = 1,
  c1_buffer = 2,
  c2_buffer = 2,
  ...
)
## S4 method for signature 'TwoStageDesign'
get_lower_boundary_design(
  initial_design,
  n1 = 1,
  n2_pivots = 1,
  c1_buffer = 2,
  c2_buffer = 2,
  ...
)
## S4 method for signature 'OneStageDesign'
get_upper_boundary_design(
  initial_design,
  n1 = 5 * initial_design@n1,
  c1_buffer = 2,
  ...
)
## S4 method for signature 'GroupSequentialDesign'
get_upper_boundary_design(
  initial_design,
  n1 = 5 * initial_design@n1,
  n2_pivots = 5 * initial_design@n2_pivots,
  c1_buffer = 2,
  c2_buffer = 2,
  ...
)
## S4 method for signature 'TwoStageDesign'
get_upper_boundary_design(
  initial_design,
  n1 = 5 * initial_design@n1,
  n2_pivots = 5 * initial_design@n2_pivots,
  c1_buffer = 2,
  c2_buffer = 2,
  ...
)
| initial_design | The initial design | 
| ... | optional arguments The values  | 
| n1 | bound for the first-stage sample size n1 | 
| c1_buffer | shift of the early-stopping boundaries from the initial ones | 
| n2_pivots | bound for the second-stage sample size n2 | 
| c2_buffer | shift of the final decision boundary from the initial one | 
An object of class TwoStageDesign.
initial_design <- TwoStageDesign(
  n1    = 25,
  c1f   = 0,
  c1e   = 2.5,
  n2    = 50,
  c2    = 1.96,
  order = 7L
  )
get_lower_boundary_design(initial_design)
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