Enhancement: Complete overhaul of distribution fitting framework
fit_dist(): Unified parameter estimation for probability distributions
fit_weibull_plot(): Enhanced Weibull distribution fitting with visualization
adjWeibull() functionality (kept as alias for backward compatibility)dweibull3(), pweibull3(), qweibull3(), rweibull3()
for three-parameter Weibull distributionfit_dist class: print(), summary(), coef(), vcov(),
confint(), logLik(), AIC(), BIC()Improvements:
makedata() function now supports unlimited number of grouping factorstol_spacing, tol_param) for numerical stabilityNew Functions: adjWeibull, barkFactor, basal, basalContribution, densityRegen, param and others.
New methods: print.slope, print.angle.
height' s argument 'base' becomes 'bottom'.
diameterMean allows 'dbh' only as argument.
added functions: stacking, circum, makedata, basal, sampleSize
both of factorize and factorise work now
diameterMean allows arguments factor1, factor2 and factor3