# ad2Carr: partition-adjusted lognormal

`ad2Carr (-h -mW -kX -KY -EZ -H) text.spc`

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

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