Partition-adjusted generalized inverse Gauss-Poisson model with gamma fixed at -0.5 a priori. Uses cost function C_1 and estimates the partition parameter p by minimizing the mean squared error. For a detailed description of the standard lnre output files, see lnreSich.
input
text.spc: the frequency spectrum
text.obs should 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_bS.spc: expected frequency spectrum
text_bS.sp2: expected frequency spectrum at 2N_0
text_bS.ev2: V(N_0), E[V(N_0)] and E[V(2N_0)]
text_bS.sum: summary of main statistics, including the specialization parameter p and the corresponding MSE
text_bS.int: interpolation statistics
text_bS.ext: extrapolation statistics