KORFit: An efficient growth function fitting tool

作者: Karel Kuželka , Róbert Marušák

DOI: 10.1016/J.COMPAG.2015.07.001

关键词:

摘要: Abstract We present a tool (KORFit) for fitting growth functions to empirical data, primarily forest management applications, but also can be applied in other biological fields. KORFit fits data using 12 functions. Increment curves are produced, and magnitude increment values predicted given age. implements an efficient robust algorithm of Levenberg–Marquardt non-linear least squares method utilizing MATLAB libraries. Criteria evaluating goodness fit (e.g. Akaike information criterion, Bayesian leave-one-out cross-validation) implemented. Individualized individual point modeled.

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