CRAN version 2.5.0 - #462
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aazizish
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Dec 1, 2025
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ssd_hc(),ssd_hp()andpredict():"GMACL": weighted geometric mean of the confidence limits."arithmetic_samples": takes weighted arithmetic mean of the values for each bootstrap iteration across all the distributions and then calculates the confidence limits from the single set of samples."geometric_samples": takes weighted geometric mean of the values for each bootstrap iteration across all the distributions and then calculates the confidence limits from the single set of samples.The new confidence interval methods were added for research or completeness and the default recommended method is still
ci_method = "weighted_samples".decimal.mark = getOption("OutDec", ".")argument to plotting functions. (- llogis distribution parameterised in terms of locationlog and scalelog #135).ssd_plot()to use concentration as labels for shinyssdtools.at_boundary_ok = TRUE.