Draw a next (batch) of Monte-Carlo samples to update the sequential estimate of the p-value
nextsample(R, compute_lower = FALSE)An (updated) object of class avseqmc_progress containing the progress of the
sequentially estimated p-value. The object is a list containing the
following elements:
$epsilon: risk of overestimated significance used in the sequential estimation.
$sample_G: function that samples (batches) from the Monte-Carlo distribution $G^*(X)$ as in Equation (5).
$ptilde: sequence of sequential $p$-value estimates. The final value in this sequence is the most recent estimate of the $p$-value.
$Ltilde: sequence of lower bounds of the confidence sequence based on the construction by Robbins (1970). Contains NA values if these were
not computed by default through stopcrit = list("type"="futility","param"=...) or requested using
compute_lower=TRUE.
$n: total number of samples drawn from the MC sampler.
$S: total number of ones observed from the MC sampler.
$B: sequence of number of ones observed at each sampling timepoint (which can be greater than 1 if sample_G samples in batches)
$Bn: sequence of number of samples drawn from MC sampler at each timepoint (which can be greater than 1 if sample_G samples in batches)
an object of class avseqmc_progress containing previous progress on
the sequential estimation.
TRUE if the lower limit of the confidence sequence of significance epsilon (as embedded in parameter R) should be computed.