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version 0.0.4

• Enhancement: Complete overhaul of distribution fitting framework
  • New function fit_dist(): Unified parameter estimation for probability distributions
    • Supports multiple estimation methods: MLE (Maximum Likelihood), MPS (Maximum Product Spacing) and Method of Moments
    • Implements ties correction methods: Cheng & Amin (1983)
    • Provides robust error handling with variance-covariance matrix computation
    • Returns comprehensive goodness-of-fit statistics: log-likelihood, AIC, BIC, and Kolmogorov-Smirnov test
  • New function fit_weibull_plot(): Enhanced Weibull distribution fitting with visualization
    • Replaces and extends adjWeibull() functionality (kept as alias for backward compatibility)
    • Adds confidence band visualization using delta method and parametric bootstrap
    • Supports standard and three-parameter Weibull distributions
    • Customizable plotting with parameter estimates and confidence intervals in legend
  • New distribution functions: dweibull3(), pweibull3(), qweibull3(), rweibull3() for three-parameter Weibull distribution
  • New S3 methods for fit_dist class: print(), summary(), coef(), vcov(), confint(), logLik(), AIC(), BIC()
• Improvements:
  • Refactored codebase for better maintainability and readability
  • makedata() function now supports unlimited number of grouping factors
  • Enhanced tolerance parameters (tol_spacing, tol_param) for numerical stability
  • Better starting value computation for optimization
  • Improved convergence diagnostics

version 0.0.3

• New 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.

version 0.0.2

• added functions: stacking, circum, makedata, basal, sampleSize

• both of factorize and factorise work now

• diameterMean allows arguments factor1, factor2 and factor3

version 0.0.1

NEWS.md setup

• added NEWS.md creation with newsmd

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.