Man pages for jonlachmann/GMJMCMC
Genetically Modified Mode Jumping MCMC
| alpha_1 | Alpha generator using strategy 1 as per Hubin et. al. TODO:... |
| alpha_2 | Alpha generator using strategy 2 as per Hubin et. al. TODO:... |
| alpha_3 | Alpha generator using strategy 3 as per Hubin et. al. |
| breastcancer | Breast Cancer Wisconsin (Diagnostic) Data Set |
| cos.rad | Cosine function for degrees |
| create.feature | Create method for "feature" class |
| erf | erf function |
| exoplanet | Excerpt from the Open Exoplanet Catalogue data set |
| exp.dbl | Double exponential function |
| gauss | Gaussian function |
| gaussian.loglik | Log likelihood function for gaussian regression with a prior... |
| gaussian.loglik.alpha | Log likelihood function for gaussian regression for alpha... |
| gaussian.loglik.bic.irlssgd | Log likelihood function for gaussian regression with a prior... |
| gelu | GELU function |
| gen.params.gmjmcmc | Generate a parameter list for GMJMCMC |
| gen.params.mjmcmc | Generate a parameter list for MJMCMC |
| gen.probs.gmjmcmc | Generate a probability list for GMJMCMC |
| gen.probs.mjmcmc | Generate a probability list for MJMCMC |
| gmjmcmc | Main algorithm for GMJMCMC TODO: More documentation - borrow... |
| gmjmcmc.iact | Integrated Auto-Correlation Time |
| GMJMCMC-package | Genetically Modified Mode Jumping MCMC |
| gmjmcmc.parallel | Run multiple gmjmcmc runs in parallel returning a list of all... |
| gmjmcmc.transition | Subalgorithm for generating a new population of features in... |
| hs | heavy side function |
| linear.g.prior.loglik | Log likelihood function for linear regression using Zellners... |
| logistic.loglik | Log likelihood function for logistic regression with a prior... |
| logistic.loglik.alpha | Log likelihood function for logistic regression for alpha... |
| marginal.probs | Function for calculating marginal inclusion probabilities of... |
| marginal.probs.renorm | Function for calculating feature importance through... |
| merge_results | Merge a list of multiple results from many runs This function... |
| mjmcmc | Main algorithm for MJMCMC |
| mjmcmc.loop | The main loop for the MJMCMC algorithm, used in both MJMCMC... |
| mjmcmc.parallel | Run multiple mjmcmc runs in parallel, merging the results... |
| mjmcmc.prop | Subalgorithm for generating a proposal and acceptance... |
| model.string | Function to generate a function string for a model consisting... |
| ngelu | Negative GELU function |
| nhs | negative heavy side function |
| not | not x |
| nrelu | negative ReLu function |
| p0 | p0 polynomial term |
| p05 | p05 polynomial term |
| p0p0 | p0p0 polynomial term |
| p0p05 | p0p05 polynomial term |
| p0p1 | p0p1 polynomial term |
| p0p2 | p0p2 polynomial term |
| p0p3 | p0p3 polynomial term |
| p0pm05 | p0pm05 polynomial term |
| p0pm1 | p0pm1 polynomial terms |
| p0pm2 | p0pm2 polynomial term |
| p2 | p2 polynomial term |
| p3 | p3 polynomial term |
| plot.diagn | Plot convergence of best/median/mean/other summary log... |
| plot.gmjmcmc | Function to plot the results, works both for results from... |
| plot.gmjmcmc_merged | Plot a gmjmcmc_merged run |
| plot.mjmcmc | Function to plot the results, works both for results from... |
| plot.mjmcmc_parallel | Plot a mjmcmc_parallel run |
| pm05 | pm05 polynomial term |
| pm1 | pm1 polynomial term |
| pm2 | pm2 polynomial term |
| predict.gmjmcmc.2 | New idea for a more streamlined function... Produces slightly... |
| predict.gmjmcmc_merged | Predict using a BGNLM model. |
| print.feature | Print method for "feature" class |
| relu | ReLu function |
| set.transforms | Set the transformations option for GMJMCMC, this is also done... |
| sigmoid | Sigmoid function |
| sin.rad | Sine function for degrees |
| sqroot | Square root function |
| string.population | Function to get a character respresentation of a list of... |
| string.population.models | Function to get a character respresentation of a list of... |
| summary.gmjmcmc | Function to print a quick summary of the results |
| summary.gmjmcmc_merged | Function to print a quick summary of the results |
| summary.mjmcmc | Function to print a quick summary of the results |
| summary.mjmcmc_parallel | Function to print a quick summary of the results |
| to23 | To the 2.3 power function |
| to25 | To 2.5 power |
| to35 | To 3.5 power |
| to72 | To the 7/2 power function |
| troot | Cube root function |
| update.alphas | Update alphas on a feature |
| weighted.quantiles | Calculate weighted quantiles |
