Man pages for CreRecombinase/FGEM
R package for Functional Genomics using Expectation Maximization (FGEM)
| BF2posterior | convert BF to posterior estimates |
| cv_fgem | fit cross-validated FGEM model |
| cv_relax_fgem | fit cross-validated FGEM model and then fit a relaxed model... |
| fgem | Run FGEM |
| fgem_bfgs | fit fgem using lbfgs |
| fgem_grad | Calculate fgem gradient |
| fgem_grad_stan | Gradient for FGEM likelihood This is an attempt to use stan's... |
| fgem_hess | Calculate fgem gradient |
| fgem_hess_stan | evd_dnorm_hess_stan |
| fgem_lik | Calculate fgem likelihood |
| fgem_marginal | Run FGEM with a dataframe as input This version of FGEM takes... |
| fgem-package | fgem: R package for Functional Genomics using Expectation... |
| gen_posterior | Generate posterior from fitted FGEM_df result and annotation... |
| gen_prior | Generate prior from fitted FGEM_df result and annotation... |
| log1mexp | Compute f(a) = log(1 - exp(-a)) stably |
| log1pexp | Compute f(x) = log(1 + exp(x)) stably and quickly |
| log_pbernoulli | calculate log loss for log-valued prediction |
| lseq | Sequence generation in log-space |
| op-null-default | Default value for NULL |
| partial_resolve | Helper to get resolved futures |
| pipe | Pipe operator |
| predict_fgem | Predict posterior from fgem fit |
| resolved_or_null | Helper to get resolved futures |
| retrieve_resolved | retrieve only resolved results from list of futures |
| sp_fgem_grad_stan | Gradient for FGEM likelihood This is an attempt to use stan's... |
| sp_fgem_hess_stan | evd_dnorm_hess_stan |
| sp_fgem_lik_stan | This is an attempt to use stan's AD features to calculate a... |
| trip2sparseMatrix | Convert a table-style sparse matrix representation to a... |
| wait_on_n | take a list of futures and block until at least 'n' future is... |
