Partition-adjusted lognormal model. Estimates the partition parameter byminimizing the mean squared error. Requires the availability of the standard lognormal summary file (output of lnreCarr run with cost function) and the developmental profile file (output of spectrum) in the current directory. For the details of the output files, see lnreCarr.
input
text.spc: the frequency spectrum
text.obs should be available in the working directory
text_C.sum should also be available in the working directory
options
-h: display on-line help
-mW: number of frequency ranks m in the fit is set to W (default: 15)
-kX: number of chunks for interpolation is set to X (default: 20)
-KY: number of chunks for extrapolation is set to Y (default: 20)
-EZ: extrapolation sample size is set to Z (default: 2N_0)
-H: input file has no header (default: with header)
output
text_bC.spc: expected frequency spectrum
text_bC.sp2: expected frequency spectrum at 2N_0
text_bC.ev2: V(N_0), E[V(N_0)] and E[V(2N_0)]
text_bC.sum: summary of main statistics, including the specialization
text_bC.int: interpolation statistics
text_bC.ext: extrapolation statistics