Man pages for zhenkewu/doubletree
Nested Latent Class Models for Domain-Adaptive and Semisupervised Learning of Cause-of-Deaths using Verbal Autopsy
| acc_topk | get top k accuracy |
| approx_sb | lower bound of a vector of probabilities that sum to one |
| cause_ids | example cause ids |
| cause_ids_except_AP | example cause ids with NAs |
| compute_params_dt | compute model summaries from the model outputs |
| design_doubletree | Organize the data around two rooted weighted trees |
| domain_ids | example cause ids |
| doubletree | doubletree |
| doubletree_blca | simulate data and subject-specific class indicators from... |
| example_cause_edges | Edgelist for constructing an example cause hierarchy. |
| example_data_doubletree | simulated data (K=2,J=20,N=1000) |
| example_domain_edges | Edgelist for constructing an example domain hierarchy. |
| expit | expit |
| F_doubletree | Calculate the F term; an array |
| fit_nlcm_doubletree | Fit nested latent class model with double-tree-structured... |
| getCSMFacc | get CSMF accuracy |
| get_est_cpp_dt | Summarize the posterior mean, sd, and confidence interval... |
| get_line1_2_15_doubletree | calculate line 1, 2, and 15 of ELBO* |
| get_moments_cpp_doubletree | Calculate variational moments during the updates |
| get_moments_cpp_eco_alpha_doubletree | Calculate variational moments during the updates |
| get_moments_cpp_eco_gamma_doubletree | Calculate variational moments during the updates |
| get_topk_COD | get top k ids for each row |
| g_fun | g |
| g_fun0 | g 0 |
| g_fun.vec | g, vectorized |
| initialize_nlcm_doubletree | Initialize the variational Bayesian algorithm for nested... |
| log1p_exp | log(1+exp(x)) (copied from moretrees:) |
| log1p.exp.vec | log expit vectorized |
| logexpit | log expit |
| logexpit_cpp | logexpit to avoid numerical underflow |
| logit | sigmoid (copied from moretrees:) |
| logsumexp | logsumexp |
| lower_bd | lower bound of expit(x) |
| make_list | Takes any number of R objects as arguments and returns a list... |
| mexpit | multi-expit (numerical overflow dealt with) |
| myhm | heatmap |
| myrdirich | generate random vectors from Dirichlet distribution |
| nlcm_doubletree | wrapper function for fitting and summaries |
| print.nlcm_doubletree | 'print.nlcm_doubletree' summarizes the results from... |
| print.summary.nlcm_doubletree_compact | Compact printing of 'nlcm_doubletree()' model fits |
| print.summary.nlcm_doubletree_long | Long-form printing of 'nlcm_doubletree()' model fits |
| prob2stick | transform a vector of probabilities that sum to one to stick... |
| signlogsumexp | sum over signed numbers, with some logsumexp applied to... |
| simulate_nlcm_doubletree | Simulate data from double-tree-structured nested latent class... |
| split_along_dim | create a list with members being the matrices along a... |
| summary.nlcm_doubletree | 'summary.nlcm_doubletree' summarizes the results from... |
| tsb | generate stick-breaking prior (truncated) from a vector of... |
| update_alpha_subid_doubletree | Update alpha's variational distribution. |
| update_emat_with_F_doubletree | Update the variational probabilities of each observation in... |
| update_gamma_subid_doubletree | Update gamma's variational distribution. Update the... |
| update_hyperparams_doubletree | update hyperparameters |
| update_rmat_with_F_doubletree | Update the variational probabilities of each observation in... |
| update_vi_params_doubletree | update variational parameters |
| X0 | example VA data from PHMRC - adult |
| xlogx | xlogx |
