Man pages for ddsjoberg/sjosmooth
Kernel smoothing for time to event data
| add_ci | Add bootstrapped confidence intervals |
| add_ci.sm_regression | Add bootstrapped model estimates |
| add_coef | Grab coefficient from models |
| add_coef_sd | Estimate the SD for model coefficients |
| calculate_dist | Calculate the distance vector between a single point and each... |
| calculate_weights | Provided a point, a data frame, and lambda, this function... |
| grapes-T-greater-than-grapes | Tee operator |
| message_print | Prints errors/warnings/messages |
| null-default | Default value for 'NULL'. |
| pipe | Pipe operator |
| sjosmooth-package | sjosmooth: Kernel smoothing for time to event data |
| sm_predict | Kernel-weighted predictions from regression models |
| sm_predict_raw | Wrapper for 'predict()' with custom coding for some types of... |
| sm_regression | Kernel-weighted regression models |
