Man pages for brielin/inspre
INverse SParse REgression
| calc_inst_effect_h5X | Calculates correlation and standard error of instrument with... |
| calc_metrics | Calculates metrics for model evaluation. |
| censor_dataset | Turns a fully observed network into a partially observed... |
| cor_w_se | Estimates correlation matrix of X in the presence of missing... |
| dataset_to_score | Converts simulated dataset to score object for use with GIES... |
| filter_tce | Helper function to do basic filtering of the TCE matrix. |
| fit_inspre_from_h5X | Fits inverse sparse regression model. |
| fit_inspre_from_R | Fits inverse sparse regression model. |
| fit_inspre_from_X | Fits inverse sparse regression model. |
| fit_inspre_sequence | Fits inspre model for sequence of lambda values. |
| fit_U_UV_const | Fit U satisfying UV = I |
| fit_U_VU_const | Fit U satisfying VU = I |
| fit_V_UV_const | Fit V satisfying VU = I |
| fit_V_VU_const | Fit V satisfying VU = I |
| generate_dataset | Simulates an intervention dataset. |
| generate_network | Simulates random graph, optionally a DAG |
| get_direct | Fits exact model to data. |
| get_observed | Gets observed network from direct effects. |
| get_tce | Gets matrix of TCE from observed network. |
| inspre | Finds the inverse of X using Inverse Sparse Regression. |
| inspre_worker | Worker function to fit inspre for a single value of lambda. |
| lasso | Fit lasso model (one iteration) |
| make_igraph | Creates an igraph from CDE matrix. |
| make_weights | Helper function to make weights for inspre. |
| multiple_iv_reg_h5X | Implements simple multiple-outcome instrumental variables... |
| parse_hdf5_df | Simple parses for hdf5 metadata into a data.frame. |
| predict_inspre | Calculates model predictions given new data, with... |
| predict_inspre_G_h5X | Calculates model predictions given new data, with... |
| predict_inspre_inv_h5X | Calculates model predictions given new data, with... |
| stars_cv | Calculates STARS cross-validation. |
