| BLRPM.OF {BLRPM} | R Documentation | 
BLRPM objective function for parameter estimation
Description
BLRPM.OF is the objective function used for parameter estimation of the BLRPM parameters. 
Given a set of BLRPM parameters par this function calculates a set of model statistics at
given accumulation time steps acc.vals. These model statistics are compared with given
time series statistics stats in the objective function. The user is able to define weights
for each statistic (has to be the same length as statistics input vector). Option for debugging is given.
A scale parameter defines a criterium for which different kinds of model statistics are calculated.
This criterium is mainly based on the timescale difference between storm duration parameter gamma and cell duration
parameter eta.
If use.log is true, the objective function needs logarithmic input parameters. The value
of OF defines the kind of objective function to be used: 1= quadratic 2= quadratic extended 3= absolute 4= absolute extended.
Usage
BLRPM.OF(par, stats, acc.vals = c(1, 3, 12, 24), weights = rep(1,
  length(stats)), debug = FALSE, scale = 1, use.log = TRUE, OF = 2)
Arguments
| par | 
 | 
| stats | 
 | 
| acc.vals | 
 | 
| weights | 
 | 
| debug | 
 | 
| scale | 
 | 
| use.log | 
 | 
| OF | 
 | 
Value
Z returns value of objective function for input parameters and input statistics
Author(s)
Christoph Ritschel christoph.ritschel@met.fu-berlin.de