AssumpSure 1.1.2

Bug fixes

Corrected the name of the first category in Chi-square and Fisher tests.
Corrected error messages for Mann–Whitney U test when fewer than 2 groups or more than 2 groups are detected.
Corrected error message for one-way ANOVA when fewer than 3 groups are detected.
Added error messages for Kruskal–Wallis test when only 1 or 2 groups are detected.

Added model metrics matrix for LM, LMM, GLM, and zero-inflated models showing key fit statistics (AIC, BIC, logLik, etc.).

Fixed detection of numeric-coded categorical variables (e.g., groups coded as 1, 2, 3).
Fixed incorrect detection of numeric-coded categorical variables in Poisson, negative binomial, and zero-inflated negative binomial models.
Improved handling of categorical variables to accept up to 10 levels.
Corrected error notifications to more clearly distinguish between numeric value columns and categorical group columns.
Corrected the interpretation of the Shapiro–Wilk test to make it clearer.

Added a clear message explaining that the “categorical” are limited to 10 levels to ensure ANOVA and Kruskal–Wallis results remain reliable and interpretable.
Added a clear message explaining that the “categorical” are limited to 15 unique levels to improve validity and interpretability of Fisher’s exact and Chi-square tests.
Added asterisks to the boxplots and a tooltip explaining their interpretation.

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.

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.

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