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()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