Man pages for cbg-ethz/MC-CBN
Large-scale inference of continuous time Conjunctive Bayesian Networks
| adaptive.simulated.annealing | Adaptive simulated annealing |
| complete.loglikelihood | Complete-data Log-Likelihood |
| fit_weibull | fit_weibull B * N/4 is the maximum allwed threshold in the... |
| generate.genotypes | Generate genotypes |
| importance.weight | Importance sampling |
| loglike_mixture_model | loglike_mixture_model |
| make_empty_poset | Making an empty poset |
| make_linear_poset | make_linear_poset |
| make_random_poset | make_random_poset |
| maximal_poset | maximal_poset |
| mccbn-package | mccbn |
| MCEM.hcbn | Monte Carlo Expectation Maximization |
| obs.loglikelihood | Observed Log-Likelihood |
| sample_genotypes | sample_timed_genotypes_with_eps |
| sample.genotypes | Sample genotypes |
| sample.times | Sample mutation times |
| sampling.const | sampling.const |
| sampling.dep | sampling.dep |
| sampling.expo | sampling.expo |
| sampling.norm | sampling.norm |
| sampling.unif | sampling.const |
| weibull_loglike | weibull_loglike |
