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drop burn-in budget slightly
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R/SimSolve.R

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#' indicating the number of replication to
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#' use for each design condition per PBA iteration. By default the input is a
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#' \code{list} with the arguments \code{burnin.iter = 15L}, specifying the number
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#' of burn-in iterations to used, \code{burnin.reps = 100L} to indicate how many
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#' of burn-in iterations to used, \code{burnin.reps = 50L} to indicate how many
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#' replications to use in each burn-in iteration, \code{max.reps = 500L} to
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#' prevent the replications from increasing higher than this number,
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#' \code{min.total.reps = 9000L} to avoid termination when very few replications
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#' have been explored (lower bound of the replication budget),
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#' and \code{increase.by = 10L} to indicate how many replications to increase
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#' after the burn-in stage. Default can overwritten by explicit definition (e.g.,
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#' per iteration after the burn-in stage. Default can overwritten by explicit definition (e.g.,
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#' \code{replications = list(increase.by = 25L)}).
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#'
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#' Vector inputs can specify the exact replications for each respective
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#'
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#' }
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SimSolve <- function(design, interval, b, generate, analyse, summarise,
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replications = list(burnin.iter = 15L, burnin.reps = 100L,
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replications = list(burnin.iter = 15L, burnin.reps = 50L,
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max.reps = 500L, min.total.reps = 9000L,
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increase.by = 10L),
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integer = TRUE, formula = y ~ poly(x, 2), family = 'binomial',

SimDesign.Rproj

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Version: 1.0
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ProjectId: ce66594f-c677-4915-8d16-61eeb96d879c
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RestoreWorkspace: No
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SaveWorkspace: No

man/SimSolve.Rd

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