Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with splines
Search options not deleted
user 90764
Splines are flexible functions, knit together from polynomial parts, used for approximation or smoothing. This tag is for any kind of spline (eg, B-splines, regression splines, thin-plate splines, etc).
6
votes
Accepted
Model comparison for nested regression models that are not symbolically nested
In R:
data("lalonde", package = "MatchIt")
fit1 <- lm(re78 ~ splines::ns(age, df = 4), data = lalonde)
fit2 <- lm(re78 ~ age, data = lalonde)
X <- model.matrix(fit1)
U <- model.matrix(fit2)
UX_fit <- …
- 166