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| 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 |