aridagri 2.0.4

Bug fixes

• anova_spd() split-plot ANOVA: the main-plot error term (Error a) and the sub-plot sum of squares are now extracted from the ANOVA table by term name rather than by fixed row position. Because R orders main-effect terms ahead of interaction terms, the previous positional extraction swapped the sub-plot effect with Error(a), which produced incorrect main-plot and sub-plot F-tests and an incorrect Error(a) mean square, main-plot standard error, critical difference and CV(a). Sub-plot standard error, critical difference and CV(b), and the returned ANOVA table itself, were not affected.
• anova_spd_ab_main(), anova_spd_c_main_ab_sub(), anova_spd_ab_cd() and anova_sspd() now test each effect against its correct error term. Previously these functions reported the raw combined ANOVA, in which the main-plot (and, for the split-split design, sub-plot) factors were tested against the residual rather than against the properly pooled main-plot / sub-plot error. The returned anova_table now gives the correct F-values and p-values for every stratum, and the objects carry the corresponding error mean squares, degrees of freedom and CVs. Verified against independent aov() Error()-strata models.
• anova_spd_pooled() and anova_sspd_pooled() (combined analysis over environments) now test each source against the correct pooled error. Both functions previously reported a single-stratum anova() table in which every effect was tested against one residual, so the environment main effect and the main-plot (and, for the split-split design, sub-plot) factors were tested against the sub-sub-plot residual rather than against their own pooled errors. Treating environments as fixed and replications as random within environment, the environment effect is now tested against the environment/replication error (E:Rep), the main-plot factors against the pooled main-plot error, and the sub-plot and sub-sub-plot factors against their respective pooled errors. The returned anova_table gives the correct F- and p-values for every stratum, the objects now carry per-stratum coefficients of variation, and anova_sspd_pooled() now returns factor means for plotting. Verified against independent aov() Error()-strata models.
• perform_posthoc() can now be called directly without pre-computing the error mean square and error degrees of freedom. When mse or df_error are not supplied they are derived from the fitted model. This fixes errors in the Bonferroni method and in the manual (no agricolae) fallbacks for LSD and Tukey.
• Fixed Dunnett’s test: the comparison is now built against the actual treatment factor supplied by the user instead of a hard-coded factor name, so it works correctly when multcomp is installed.
• verbose = FALSE is now fully respected by anova_crd(), anova_rbd() and anova_latin(); these no longer print post-hoc and assumption-check output when silent operation is requested. Result objects are unchanged and still contain the full post-hoc and diagnostic components regardless of verbose.
• arid_plot() now draws factor or treatment means for every ANOVA design (factorial, three-way factorial, Latin square, all split-plot and split-split-plot variants, strip-plot, alpha lattice and the pooled designs), not only CRD and RBD. Designs with several factors are shown as a multi-panel bar chart, one panel per factor, with standard-deviation whiskers where available. Objects that expose no factor-means table return quietly with an informative message instead of an error.
• arid_plot() produces plots using base graphics for correlation objects (a heatmap of the correlation matrix) and stability objects (a bar chart of the integrated stability ranking); it previously returned without plotting.
• export_results() now supports format = "csv" in addition to "xlsx" and raises a clear error for unsupported formats.

Other changes

• Added grDevices, graphics, stats and utils to Imports.

aridagri 2.0.3

• Initial CRAN release (24 February 2026)
• 33 exported functions across 6 modules
• 16 ANOVA designs with proper error terms
• 7 post-hoc comparison tests with letter groupings
• 7 stability analysis methods with integrated ranking
• Thermal indices (GDD, HTU, PTU, HUE)
• Crop growth analysis (CGR, RGR, NAR, LAI)
• Nutrient use efficiency indices
• Path analysis and SEM via lavaan
• Publication-ready output with SE, CD, CV
• Unified verbose parameter for all functions
• Zero external dependencies (base R only)