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