|Program name||Package id||Status||Status date|
|Package ID||Orig. computer||Test computer|
|NESC1057/01||DEC VAX series||DEC VAX 6000|
PCC/SRC is designed for use in conjunction with sensitivity analyses of complex computer models. PCC/SRC calculates the partial correlation coefficients (PCC) and the standardized regression coefficients (SRC) from the multivariate input to, and output from, a computer model.
PCC/SRC calculates the coefficients on either the original observations or on the ranks of the original observations. These coefficients provide alternative measures of the relative contribution (importance) of each of the various input variables to the observed variations in output. Relationships between the coefficients and differences in their interpretations are identified. If the computer model output has an associated time or spatial history, PCC/SRC will generate a graph of the coefficients over time or space for each input-variable, output- variable combination of interest, indicating the importance of each input value over time or space.
100 different time steps or intervals between successive dependent variable readings
50 independent variables (model input)
20 dependent variables (model output)
10 ordered triples specifying intervals between dependent variable readings
Plots generated by PCC/SRC are produced using the CA-DISSPLA proprietary software package Version 9.0 (see http://www.gaeinc.com). PCC/SRC is most useful in analysing input-output relationships when the input has been selected using the Latin hypercube sample program LHS (NESC 1085).
|Package ID||Status date||Status|
|NESC1057/01||31-JAN-1995||Tested at NEADB|
R. L. Iman, and M.J. Shortencarier:
A FORTRAN 77 Program and User's Guide for the Generation of Latin Hypercube and Random Samples for Use with Computer Models, NUREG/CR-3624 (SAND83-2365), March 1984.
|Package ID||Computer language|
|File name||File description||Records|
|NESC1057_01.001||Information file of package PCC-SRC||264|
|NESC1057_01.002||Source code file of program PCC-SRC||1785|
|NESC1057_01.003||VMS command file to compile,link and run||58|
|NESC1057_01.004||Input file, read in unit # 1 (data)||1920|
|NESC1057_01.005||Input file, read in unit # 4 (control cards)||17|
|NESC1057_01.006||Sample output file (printout results only)||417|
Keywords: Monte Carlo method, correlations, multivariate analysis, regression analysis, sensitivity analysis, statistics.