Timeline for For What Kinds Of Problems is Quantile Regression Useful?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 1, 2023 at 11:07 | history | edited | Frank Harrell | CC BY-SA 4.0 |
fixed spelling error
|
| Aug 1, 2023 at 9:23 | comment | added | MightyCurious | This example acutally goes further: If a child is at the 67. percentile of body height at their birth, they will stay on that percentile at least for their first two years. This even be used to predict their clothes size. A calculator is here (German only, unfortunately): btelligent.com/baby-kleidergroessenrechner | |
| Jul 29, 2023 at 18:42 | comment | added | Frank Harrell |
Please re-read the text. It says that only R rms::orm and JMP have programmed a sparse matrix solution that efficiently computes the needed quantities when there are thousands of intercepts. The two software implementations use similar sparse matrix methods.
|
|
| Jul 29, 2023 at 18:19 | comment | added | Dave |
In the link, what do you mean in that last comment about JMP, that JMP can handle a case that rms::orm cannot?
|
|
| Jul 29, 2023 at 12:05 | history | answered | Frank Harrell | CC BY-SA 4.0 |