AssumpSure_v.1.1.0_release

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.