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sim_best_binomial() function to select the best
using ranks rather than the custom approach of which == max().sim_.ni_fleming has been renamed to ni_ve.multz function was modified to correctly handle the
case when there is only one group.probhr function to estimate the probability
of an event in the experimental group based on the control group
probability and the hazard ratio, assuming proportional hazards.ni_fleming function.ni_fleming.power_best_binomial and power_best_normal
were updated to match their rank-based equivalents.dif represents the difference between the most
promising group and the rest.prob is now the probability in the
most promising group (previously it referred to the other groups), and
dif defines how much lower the other groups are.power_best_norm_ranks and
power_best_bin_rank.power_best_norm_rank to empirically estimate
power for normal distributions based on ranks.power_test_binomial where, in the
absence of ties, the sample function randomly selected a
number instead of sampling from a range.power_best_normal.power_best_binomial now returns a data frame with power
and 95% confidence interval.power_best_normal now returns a data frame with power
and 95% confidence interval.power_ni_normal now includes the number of simulations
in the output data frame.power_best_bin_rank, which selects the best group
based on ranks, instead of assuming the highest value as in
power_best_binomial.power_ni_normal function.ggplot_prob_lowest_power
graph.power_equivalence_normal function.power_best_binomial function and related
helpers.power_best_normal function and related
helpers.NEWS.md file to track package changes.power_single_rate function.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.