Man pages for zq00/glmhd
Estimates the inflation and variance of the MLE from a high-dimensional GLM
| adjust_binary | Adjust the MLE in a binary regression |
| adjust_glm | Estimate coefficients of a high-dimensional GLM |
| boot_fun | Compute one bootstrap for a GLM |
| bootglm | Compute resized bootstrap MLE for a GLM multiple times |
| compute_deriv | Derivative of the negative log-likelihood |
| equation_binary | Setup a system of equations |
| estimate_eta | Estimate eta from MLE coef. |
| estimate_gamma | Estimate the signal strength |
| estimate_variance | Estimate std.dev. of the linear predictor evaluated at the... |
| find_param | Solves a system of nonlinear equations |
| get_simulate_fun | Simulate response given linear predictors |
| glmadj | Methods for adjusted glm objects |
| glm_boot | Resized bootstrap method for a GLM |
| hinge | Hinge function |
| integrate2_normal | 2-dimensional Gaussian Expectation |
| is_separable | Are the two classes linearly separable? |
| lrt_glm | LRT for high-dimensional glm |
| probe_frontier | Estimate the problem dimension where two classes become... |
| process_link | Extract likelihood from link function |
| prox_op | One-dimensional proximal operator |
| rho_prime_logistic | Logistic loss function |
| separable_proportion | Porportion of linearly separable subsamples |
| signal_strength | Estimate intercept and signal strength |
| solve_kappa | Compute the phase transition curve |
