anova.sensitivity |
Generic methods for perturbations. |
chisqtst |
Benchmark data to test the accuracy of statistical distribution functions, function to compute log relative error |
dehaan |
dehaan global optimality test |
firstLook |
Take a first look at a dataset |
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 |
HTML.sensitivity.anova |
HTML methods for perturbation analysis |
HTML.sensitivity.sim.summary |
HTML methods for perturbation analysis |
HTML.sensitivity.summary |
HTML methods for perturbation analysis |
LRE |
Functions for comparing results: LRE, compare, agrees |
modelBetas |
Functions for comparing results: LRE, compare, agrees |
modelsAgree |
Functions for comparing results: LRE, compare, agrees |
modelsCompare |
Functions for comparing results: LRE, compare, agrees |
modelSummary |
Functions for comparing results: LRE, compare, agrees |
normtst |
Benchmark data to test the accuracy of statistical distribution functions, function to compute log relative error |
perturb |
Data Perturbations based Sensitivity Analysis |
plot.accFirstLook |
Generic methods for first look. |
plot.sensitivity |
Generic methods for perturbations. |
plot.sensitivity.summary |
Generic methods for perturbations. |
print.accFirstLook |
Generic methods for first look. |
print.sensitivity |
Generic methods for perturbations. |
psim |
perform zelig simulations for perturbed models |
PTBdefault |
Returns a default perturbation function for a given vector. |
PTBdefaultfn |
Returns a default perturbation function for a given vector. |
PTBdiscrete |
Function to perturb vectors of discrete numeric values or factors, logicals, characters |
PTBi |
functions to add random noise to a vector |
PTBmn.gen |
generator functions for multiple rounds of noise |
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 |
PTBmu.gen |
generator functions for multiple rounds of noise |
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 |
pzelig |
Perturbations-based Sensitivity Analysis of Zelig Models |
reclass.mat.diag |
Function to produce reclassification matrices |
reclass.mat.random |
Function to produce reclassification matrices |
resetSeed |
Function to return TRUE (not pseudo) random numbers, based on system and networked entropy collection. |
rnormS |
Function to return TRUE (not pseudo) random numbers, based on system and networked entropy collection. |
rstarMix |
Function to return TRUE (not pseudo) random numbers, based on system and networked entropy collection. |
runifS |
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 |
sensitivity |
Data Perturbations based Sensitivity Analysis |
sensitivityZelig |
Perturbations-based Sensitivity Analysis of Zelig Models |
setx.sensitivity |
perform zelig simulations for perturbed models |
starr |
staff global optimum test |
summary.sensitivity |
Generic methods for perturbations. |
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 |