The new yield tables developed by the Northwest German Forest 
  Research Institute (NW-FVA) provide a forest management tool for the five 
  main commercial tree species oak, beech, spruce, Douglas-fir and pine for 
  northwestern Germany. The new method applied for deriving yield tables 
  combines measurements of growth and yield trials with growth simulations 
  using a state-of-the-art single-tree growth simulator. By doing so, the new 
  yield tables reflect the current increment level and the recommended 
  graduated thinning from above is the underlying management concept. The yield
  tables are provided along with methods for deriving the site index and for 
  interpolating between age and site indices and extrapolating beyond age and 
  site index ranges. The inter-/extrapolations are performed traditionally by 
  the rule of proportion or with a functional approach.

Creates simple to highly customized tables for a wide selection of descriptive statistics, with or without weighting the data.

Fits the space-time Epidemic Type Aftershock Sequence
    ('ETAS') model to earthquake catalogs using a stochastic 'declustering' 
    approach. The 'ETAS' model is a 'spatio-temporal' marked point process
    model and a special case of the 'Hawkes' process. The package is based 
    on a Fortran program by 'Jiancang Zhuang'
    (available at <https://bemlar.ism.ac.jp/zhuang/software.html>),
    which is modified and translated into C++ and C such that it 
    can be called from R. Parallel computing with 'OpenMP' is possible 
    on supported platforms.

The 2-D spatial and temporal Epidemic Type Aftershock Sequence ('ETAS') Model is
 widely used to 'decluster' earthquake data catalogs. Usually, the calculation of standard
 errors of the 'ETAS' model parameter estimates is based on the Hessian matrix derived from
 the log-likelihood function of the fitted model. However, when an 'ETAS' model is fitted to
 a local data set over a time period that is limited or short, the standard errors based on
 the Hessian matrix may be inaccurate. It follows that the asymptotic confidence intervals
 for parameters may not always be reliable. As an alternative, this package allows for the
 construction of bootstrap confidence intervals based on empirical quantiles for the parameters
 of the 2-D spatial and temporal 'ETAS' model. This version improves on Version 0.1.0 of the
 package by enabling the study space window (renamed 'study region') to be polygonal rather
 than merely rectangular. A Japan earthquake data catalog is used in a second example to
 illustrate this new feature.