3D plots can be made of the joint marginal PDF for any parameter pair. It also computes traditional mean, SD, mode, median, skewness and kurtosis, and the covariance and correlation coefficients between parameters. In addition, the full joint PDF can be written to a Matlab file for use in RMultiple ModelS adaptive control prototype new software for more precise stochastic design of drug dosage regimens. The program now runs about 30 times faster than previous versions, due to implementation of various methods for accelerating the computations. Drugs include aminoglycosides, vancomycin, TMP-SMX for PCP, digoxin, digitoxin, lidocaine, procainamide, theophylline, quinidine, and gentamicin in newborns.
Creatinine clearance is computed between serum creatinine pairs, and can change between doses.
It calculates flow and volume settings for infusion pumps. One can determine the assay SD over its entire range, and fit that relationship with a 3rd order polynomial, storing the coefficients for optimal Bayesian fitting. D-optimal monitoring times are also computed. The programs now also compute antibiotic diffusion into simulated endocardial vegetations, and calculate and plot the dynamics of bacterial growth and the killing effect of antibiotics upon the organisms. It reads routine patient data files and now computes the entire joint probability density for a 2 compartment model with either oral or intravenous input.