Man pages for softloud/adpain
Antidepressants for the treatment of chronic pain in adults
| adpain_app | Title |
| calc_rd_par | Calculate risk difference parameter |
| extract_nma_estimates | Extract parameter estimates as a dataframe |
| find_pw_studies | Find studies for pairwise comparison |
| forest_multinma | Multinma forest plot |
| get_nma_dat | Get NMA dataset |
| get_pw_dat | Get pw data |
| hedges_g | Hedge's g |
| hpp_forest | Create a forest plot using mod key inputs |
| hpp_forest_labs | Label a forest plot |
| hpp_nma | NMA function for analysis |
| hpp_pal | Theme colours |
| hpp_rma | Pairwise set |
| hpp_tab | Theme across all tables |
| mod_dat | Model data created with targets |
| msg_mine | Charles' custom messages |
| nnt | Number needed to treat |
| nnt_int | NNT data for outcome, timepoint, and intervention |
| outcome_acr | Title |
| outcome_dir | Get direction of improvement |
| outcome_key | Outcome information |
| outcome_label | Title |
| outcome_mod | Get model type |
| pw_forest_labs | Label a forest plot |
| pw_forest_plot | Meta-analysis forest plot |
| pw_int | Get set of pw comparisons for a dataset |
| pw_nma_forest | Comparison forest plot of ma and nma |
| rep_forgroup | Title |
| rob | Risk of bias |
| see_pres | Title |
| see_rep | Preview report in browser |
| sof | SOF |
| sof_acr | ACR calcs for outcomes |
| sof_meta_tab | PICO Summary of outcome component |
| sof_nnt | Title |
| sof_output | Title |
| sof_output_acr | Title |
| sof_output_styling | Title |
| sof_pico | Title |
| sof_results_dat | Intervention results |
| sof_results_tab | Table of intervention estimates and ranks |
| study_id | Using study identifier and title_cov to create a study id |
| timepoint_key | Timepoint key from targets |
| timepoint_label | Title |
| type_key | Type key from targets |
| type_label | Title |
| update_obs | Update observation data |
| update_outcome | Title |
| update_scale | Title |
| viable_observations | Function to extract viable arms |
