Tools for testing and improving accuracy of statistical results.

chisqtst	Benchmark data to test the accuracy of statistical distribution functions, function to compute log relative error
dehaan	Function to test that an optimum from MLE, NLS, or other non-linear optization routine is a global optimum
frexp	Function to convert vector of floating-point numbers to fractional and integral components
ftst	Benchmark data to test the accuracy of statistical distribution functions, function to compute log relative error
gammatst	Benchmark data to test the accuracy of statistical distribution functions, function to compute log relative error
initPool	Function to return TRUE (not pseudo) random numbers, based on system and networked entropy collection.
LRE	Benchmark data to test the accuracy of statistical distribution functions, function to compute log relative error
normtst	Benchmark data to test the accuracy of statistical distribution functions, function to compute log relative error
perturb	Data Perturbations based Sensitivity Analysis
PTBi	functions to add random noise to a vector
PTBms	functions to add random noise to a vector
PTBmsb	functions to add random noise to a vector
PTBmsbr	functions to add random noise to a vector
PTBn	functions to add random noise to a vector
PTBnbr	functions to add random noise to a vector
PTBnbrr	functions to add random noise to a vector
PTBnc	functions to add random noise to a vector
PTBns	functions to add random noise to a vector
PTBnsbr	functions to add random noise to a vector
PTBnsbrr	functions to add random noise to a vector
PTBu	functions to add random noise to a vector
PTBubr	functions to add random noise to a vector
PTBubrr	functions to add random noise to a vector
PTBuc	functions to add random noise to a vector
PTBus	functions to add random noise to a vector
PTBusbr	functions to add random noise to a vector
PTBusbrr	functions to add random noise to a vector
resetSeed	Function to return TRUE (not pseudo) random numbers, based on system and networked entropy collection.
runifT	Function to return TRUE (not pseudo) random numbers, based on system and networked entropy collection.
sechol	Schnabel-Eskow Choleksy Decomposition
starr	Function to test that an optimum from MLE, NLS, or other non-linear optization routine is a global optimum
trueRandom	Function to return TRUE (not pseudo) random numbers, based on system and networked entropy collection.
ttst	Benchmark data to test the accuracy of statistical distribution functions, function to compute log relative error