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AssumpSure 1.1.0

Bug fixes

• Fixed incorrect statistical test recommendations in some cases.
• Logical columns are now detected correctly.
• Fixed a bug where continuous variables were sometimes not recognized, which blocked parametric and nonparametric tests.
• Prevented Chi-square tests when any categorical variable has only one level, with a clear user message.
• Correlation heatmap now accepts the prevalence filter input
• Corrected handling of covariates with perfect separation or near-zero variance, with informative messages and robust plotting.
• Fixed intermittent failures of the bicor correlation method.

New features and user guidance

• Added a clear message explaining that the “continuous” type does not accept count data. Only truly continuous variables are allowed.
• Added guidance for normality testing with small sample sizes.
• Reformatted test outputs to be easier to copy into spreadsheets.
• Added tooltips on how to interpret QQ plots and histograms.
• Improved test selection: if variances are unequal but normality holds, recommend Welch’s tests instead of Mann–Whitney or Kruskal–Wallis or One-Way ANOVA, depending on design.
• Added effect size estimates for t-tests, Mann-Whitney, Wilcoxon rank sum, one-way ANOVA, and Kruskal Wallis.
• Added guidance when bicor analysis fails.
• Added a tooltip explaining interpretation of correlation coefficients.
• Added a Shapiro–Wilk test below the histogram for checking the normality of the dependent variable, to help users with interpretation.
• Added tooltips for interpreting regression model assumptions.
• Added Poisson regression with a dedicated overdispersion test and guidance.
• Added a zero-inflation test for negative binomial regression and guidance.
• Added zero-inflated negative binomial regression.

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.
Health stats visible at Monitor.