Man pages for stephenslab/susiF.alpha
Sum of Single Functions
| affected_reg | Extract coordinates of the regions affected by the different... |
| cal_clfsr | Compute conditional local false sign rate |
| cal_cor_cs | Compute correlation between credible sets |
| cal_KL_l | Compute KL divergence effect l |
| cal_lfsr | Compute conditional local false sign rate |
| cal_lik | Compute likelihood for the weighted ash problem |
| cal_partial_resid | Compute partial residual for effect l |
| cal_purity | Compute purity of a list of CS |
| cal_zeta | Compute assignment probabilities from log Bayes factors |
| change_fit | Change postprocessing used in susiF object |
| check_cs | Check purity credible sets |
| colScale | Scaling function from r-blogger |
| discard_cs | Discard credible sets |
| EBmvFR | Empirical Bayes multivariate functional regression |
| EBmvFR.workhorse | Empirical Bayes multivariate functional regression |
| Eloglik | Expected log likelihood for a susiF object |
| estimate_residual_variance | Update residual variance |
| fsusie_plots | fSuSiE Plots |
| gen_wavelet_indx | Generate list of index wavelet coefficients |
| get_ER2 | Compute Epected sum of square |
| get_fitted_effect | Access fitted effect l |
| get_G_prior | Access susiF internal prior |
| get_objective | Get objective function from data and susiF object |
| get_pi0 | Get mixture proportion for mixture normal prior |
| get_pi_G_prior | Get mixture proportion for mixture prior |
| get_sd_G_prior | Get mixture standard deviations for mixture normal prior |
| greedy_backfit | Update susiF via greedy search or backfit |
| HMM_regression | Compute refined estimate using HMM regression |
| init_EBmvFR_obj | Create an EBmvFR object |
| init_prior | Initialize the prior |
| init_prior.default | Initialize the prior |
| init_susiF_obj | Initialize a susiF object using regression coefficients |
| L_mixsq | Compute likelihood matrix for mixsqp |
| log_BF | Compute Log-Bayes Factor |
| loglik_SFR | Compute log likelihood of single function regression of... |
| loglik_SFR_post | Compute posterior expected loglikelihood for single function |
| merge_effect | Merging effect function |
| m_step | Compute M step in the weighted ash problem for different... |
| out_prep | Preparing output of main susiF function |
| post_mat_mean | Compute posterior mean under mixture normal prior |
| post_mat_sd | Compute posterior standard deviation under mixture normal... |
| remap_data | Ramp matrix of unevenly space data (or non power of two) |
| simu_IBSS_ash_vanilla | Simulate data under a simple mixture normal prior |
| simu_IBSS_per_level | Simulate data under the mixture normal prior |
| smash_regression | Compute refined estimate using translation invariant wavelet... |
| susiF | Sum of Single Function |
| susiF.workhorse | Sum of Single Function |
| test_stop_cond | Check tolerance for stopping criterion |
| TI_regression | Compute refined estimate using translation invariant wavelet... |
| update_alpha | Update alpha susiF mixture proportion of effect l |
| update_alpha_hist | Update alpha_hist susiF object |
| update_ash_pi | Update ash object mixture proportion |
| update_cal_cs | Update susiF by computing credible sets |
| update_cal_fit_func | Update susiF by computing posterior curves |
| update_cal_pip | Update susiF by computing PiP |
| update_ELBO | Update susiF log Bayes factor |
| update_KL | Compute KL divergence effect l @param obj a susiF object |
| update_lBF | Update susiF log Bayes factor |
| update_lfsr | Update susiF local False Sign Rate |
| update_lfsr_effect | Update susiF lfsr effect |
| update_prior | Update mixture proportion for mixture normal prior |
| update_residual_variance | Update residual variance |
| which_dummy_cs | Return which credible sets are dummy |
| which_lowcount | Find wavelet with critically low variance |
