Man pages for JackStat/CompPack
Collection of Computational Statistic Tools
| anneal | uphill search on fucntion |
| around | Find the Values Around a Particular Value |
| bootstrap | bootstrap |
| CompPack | A collection of Computational Statistic Functions. |
| cvscore | Cross Validation |
| cvscore1 | Cross Validation-Linear Model |
| cvscore2 | Cross Validation-Quadratic Model |
| cvscore3 | Cross Validation-Cubic Model |
| cvscore4 | Cross Validation-4th Degree Polynomial |
| cvscore5 | Cross Validation-5th Degree Polynomial |
| d1f | First Derivative |
| df | Second Derivative |
| em.mixnorm | EM-Algorithm for Normal Distribution |
| f.models | f models |
| gold.sect | Golden Section Search Optimization |
| grid.sect | Grid Section Search Optimization |
| jackknife | Resamples Data using the Jackknife Method |
| log.lik | Find the log likelihood of a normal distribution |
| maxbound | Maxbound Optimization |
| mc | Generate Markov Chains |
| mixlike | mixlike |
| mixnorm | Create a Mixture of Normal Distributions |
| nearest | Find the Nearest Value |
| nearest.loc | Find Location of Nearest Value |
| newton.raph | Newton Raphson Alogorithm |
| onedfunction | x^4 + x^2 |
| plot.mc | Plot Markov Chains |
| pois.int | pois.int |
| pois.proc | pois.proc |
| pois.rate | Average Time Between Events in a Poisson Process |
| polar.rnorm | Polar Random Normal |
| rand.exp | Generate Random Exponential Variables |
| rand.mvnorm | Generate Multivariate Normal Distribution |
| rand.norm | Generate Random Normal Variables |
| rand.unif | Generate Random Uniform Variables |
| rand.weib | Generate Random Weibull Variables |
| tpower | Evaluate Power for a One Sample T-test. |
| tpower.data | Matrix of p-values from the tpower function |
| twodfunction | exp(-(x+y)) |
| twodranduphill | uphill search on matrix function |
| update.CompPack | Update CompPack |
| uphill.mixnorm | uphill.mixnorm |
| wich.hill | Wichman-Hill Random Number Generator |
