TPCCLIB
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libtpcmodel Directory Reference

Files

 aic.c
 Routines for model selection and weighting using Akaike's information criteria.
 
 bobyqa.c
 BOBYQA is a derivative-free optimization code with constraints by M. J. D. Powell. Original Fortran code by Powell (2009).
 
 bootstrap.c
 Procedure for counting the confidence intervals and standard deviations for estimates of parameters of compartmental PET models.
 
 bvls.c
 BVLS (Bounded-value least-squares).
 
 constraints.c
 Setting and checking fit parameter constraints and limits.
 
 gaussdev.c
 normally distributed (Gaussian) deviate with zero mean and unit variance.
 
 hholder.c
 Implementation and use of Householder transform.
 
 integr.c
 linear interpolation and integration of PET and blood/plasma TACs.
 
 libtpcmodel.h
 Header file for libtpcmodel.
 
 llsqwt.c
 Linear least-squares fit with errors in both coordinates.
 
 lms.c
 Least median of squares estimate for single data.
 
 lts.c
 Least trimmed squares estimates for univariate location and variance.
 
 median.c
 Calculation of median value.
 
 mertwi.c
 Mersenne Twister MT19937 pseudorandom number generator for TPCCLIB.
 
 mestim.c
 Calculating Hubers M-estimator for single data.
 
 mtga.c
 Multiple-time graphical analysis (including Patlak and Logan plots).
 
 nlopt1d.c
 Nonlinear one-dimensional optimization.
 
 nnls.c
 NNLS (non-negative least squares) and required subroutines.
 
 normaldistr.c
 Functions for using normal distribution.
 
 o2.c
 Default parameters and helper functions for oxygen metabolism.
 
 pearson.c
 Pearson's correlation coefficient and regression line.
 
 powell.c
 Powell function minimization routines.
 
 qr.c
 Routines needed in the use of QR decomposition when solving least squares problems.
 
 runs_test.c
 Runs test: defines if residuals of two data arrays are independent.
 
 shuffle.c
 Random shuffle and related functions.
 
 simplex.c
 Nelder-Mead algorithm (Downhill simplex) for function minimization.
 
 simulate.c
 Procedures for simulating PET time-activity curves.
 
 tgo.c
 Topographical minimization algorithm.