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ssutil 1.0.0 (2025-06-12)

Remove lf_config functions as they are not useful. Replace by the worst case scenario function.
Modify sim_best_binomial() function to select the best using ranks rather than the custom approach of which == max().
Make uniform the parameters names
Provide standardized output for the simulations

Re-factoring of the entire package.
Functions that calculate power based on simulation now start with the prefix sim_.
ni_fleming has been renamed to ni_ve.
The multz function was modified to correctly handle the case when there is only one group.
Improve documentation

Added the 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.

power_best_binomial and power_best_normal were updated to match their rank-based equivalents.
Now, dif represents the difference between the most promising group and the rest.
For binomial tests, 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.

Added power_best_norm_rank to empirically estimate power for normal distributions based on ranks.

Added a function to calculate non-inferiority in vaccine trials following Fleming et al.

Fixed an error in power_test_binomial where, in the absence of ties, the sample function randomly selected a number instead of sampling from a range.
Fixed the same issue in 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.
Added power_best_bin_rank, which selects the best group based on ranks, instead of assuming the highest value as in power_best_binomial.