GSLIB Help: BICALIB

GSLIB Help Page: BICALIB

Description:

Whenever soft data are considered in an indicator formalism, it is necessary to calculate the soft indicator values (the prior distributions). Also, when considering the Markov-Bayes option in the indicator simulation program sisim, the B(z) calibration parameters are called for. The program bicalib computes the prior distributions and the B(z) calibration parameters. These prior distributions are written to one output file and the B(z) parameters are written to a reporting file from which they must be transferred to the sisim parameter file.
Often in practice the sparse sample size does not provide enough resolution for the scattergram of primary vs. secondary variables. Program scatsmth could be used to smooth and add resolution to the sample scattergram. Instead of the original data pairs (size n the input data file datafl to program bicalib could contain the smoothed sample scattergram.
Parameters: datafl: a data file in simplified Geo-EAS format containing the secondary data values (the output file will contain the corresponding prior distributions for the primary variable). icolsec: the column number for the secondary variable. calibfl: a data file in simplified Geo-EAS format containing pairs of primary and secondary data values (the calibration data). ivru, ivrv and iwt: the column numbers for the primary and secondary variables and declustering weight / bivariate frequency. tmin and tmax: all values strictly less than tmin and strictly greater than tmax are ignored. outfl: an output file that contains the prior distributions corresponding to all input secondary data. repfl: an output file that contains a report of the pairs retained, some summary statistics, a bivariate distribution table, the prior distributions, and the B(z) parameter values. ncutu: the number of thresholds applied to the primary variable. cutu(i),i=1,ncutu: the threshold values applied to the primary variable. ncutv: the number of thresholds applied to the secondary variable. cutv(i),i=1,ncutv: the threshold values applied to the secondary variable.