Man pages for FBMS
Flexible Bayesian Model Selection and Model Averaging
| abalone | Physical measurements of 4177 abalones, a species of sea... |
| arcsinh | arcsinh transform |
| breastcancer | Breast Cancer Wisconsin (Diagnostic) Data Set |
| compute_effects | Compute effects for specified in labels covariates using a... |
| cos_deg | Cosine function for degrees |
| diagn_plot | Plot convergence of best/median/mean/other summary log... |
| erf | erf function |
| exoplanet | Excerpt from the Open Exoplanet Catalogue data set |
| exp_dbl | Double exponential function |
| fbms | Fit a BGNLM model using Genetically Modified Mode Jumping... |
| fbms.mlik.master | Master Log Marginal Likelihood Function |
| FBMS-package | Flexible Bayesian Model Selection and Model Averaging |
| gaussian.loglik | Log likelihood function for gaussian regression with a... |
| gaussian.loglik.alpha | Log likelihood function for gaussian regression for alpha... |
| gaussian.loglik.g | Log likelihood function for linear regression using Zellners... |
| gaussian_tcch_log_likelihood | Log likelihood function for Gaussian regression with... |
| gelu | GELU function |
| gen.params.gmjmcmc | Generate a parameter list for GMJMCMC (Genetically Modified... |
| gen.params.mjmcmc | Generate a parameter list for MJMCMC (Mode Jumping MCMC) |
| gen.probs.gmjmcmc | Generate a probability list for GMJMCMC (Genetically Modified... |
| gen.probs.mjmcmc | Generate a probability list for MJMCMC (Mode Jumping MCMC) |
| get.best.model | Extract the Best Model from MJMCMC or GMJMCMC Results |
| get.mpm.model | Retrieve the Median Probability Model (MPM) |
| glm.loglik | Log likelihood function for glm regression with a Jeffreys... |
| glm.loglik.g | Log likelihood function for glm regression with Zellner's... |
| glm.logpost.bas | Log likelihood function for glm regression with parameter... |
| gmjmcmc | Main algorithm for GMJMCMC (Genetically Modified MJMCMC) |
| gmjmcmc.parallel | Run multiple gmjmcmc (Genetically Modified MJMCMC) runs in... |
| hs | heavy side function |
| lm.logpost.bas | Log likelihood function for Gaussian regression with... |
| logistic.loglik | Log likelihood function for logistic regression with a... |
| logistic.loglik.ala | Log likelihood function for logistic regression with an... |
| logistic.loglik.alpha | Log likelihood function for logistic regression for alpha... |
| log_prior | Log model prior function |
| marginal.probs | Function for calculating marginal inclusion probabilities of... |
| merge_results | Merge a list of multiple results from many runs This function... |
| mjmcmc | Main algorithm for MJMCMC (Genetically Modified MJMCMC) |
| mjmcmc.parallel | Run multiple mjmcmc runs in parallel, merging the results... |
| 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.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.bgnlm_model | Predict responses from a BGNLM model |
| predict.gmjmcmc | Predict using a gmjmcmc result object. |
| predict.gmjmcmc_merged | Predict using a merged gmjmcmc result object. |
| predict.gmjmcmc_parallel | Predict using a gmjmcmc result object from a parallel run. |
| predict.mjmcmc | Predict using a mjmcmc result object. |
| predict.mjmcmc_parallel | Predict using a mjmcmc result object from a parallel run. |
| print.feature | Print method for "feature" class |
| relu | ReLu function |
| rmclapply | rmclapply: Cross-platform mclapply/forking hack for Windows |
| SangerData2 | Gene expression data lymphoblastoid cell lines of all 210... |
| set.transforms | Set the transformations option for GMJMCMC (Genetically... |
| sigmoid | Sigmoid function |
| sin_deg | Sine function for degrees |
| sqroot | Square root function |
| string.population | Function to get a character representation of a list of... |
| string.population.models | Function to get a character representation 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 |
| troot | Cube root function |
