# Tools for testing and improving accuracy of statistical results.

## Documentation for package ‘accuracy’ version 1.35

## User Guides and Package Vignettes

Read overview or browse directory.

## Help Pages

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