Functions for import, export, visualization and other manipulations of bitmapped images.

Estimation of pharmacokinetic parameters using non-compartmental theory.

Calculate and compare the prediction probability (PK) values for Anesthetic Depth Indicators.
    The PK values are widely used for measuring the performance of anesthetic depth and were first 
    proposed by the group of Dr. Warren D. Smith in the paper 
    Warren D. Smith; Robert C. Dutton; Ty N. Smith (1996) <doi:10.1097/00000542-199601000-00005> and
    Warren D. Smith; Robert C. Dutton; Ty N. Smith (1996) <doi:10.1002/(SICI)1097-0258(19960615)15:11%3C1199::AID-SIM218%3E3.0.CO;2-Y>.
    The authors provided two 'Microsoft Excel' files in xls format for calculating and comparing PK values.
    This package provides an easy-to-use API for calculating and comparing PK values in R.

Pharmacokinetics is the study of drug absorption, distribution, 
   metabolism, and excretion. The pharmacokinetics model explains that how the 
   drug concentration change as the drug moves through the different compartments
   of the body. For pharmacokinetic modeling and analysis, it is essential
   to understand the basic pharmacokinetic parameters. All parameters are 
   considered, but only some of parameters are used in the model. Therefore, 
   we need to convert the estimated parameters to the other parameters after 
   fitting the specific pharmacokinetic model. This package is developed to help
   this converting work. For more detailed explanation of pharmacokinetic 
   parameters, see "Gabrielsson and Weiner" (2007), "ISBN-10: 9197651001";
   "Benet and Zia-Amirhosseini" (1995) <DOI: 10.1177/019262339502300203>; 
   "Mould and Upton" (2012) <DOI: 10.1038/psp.2012.4>;
   "Mould and Upton" (2013) <DOI: 10.1038/psp.2013.14>.

Prepare pharmacokinetic/pharmacodynamic (PK/PD) data for PK/PD analyses. 
    This package provides functions to standardize infusion and bolus dose data while
    linking it to drug level or concentration data.