Usage: |
{mh, clo, cup} = regxci(x {,h {,alpha {,K} {,v} }})
|
Input: |
| x | n x 2 matrix, the data. The first column contains the
independent variable and the second column the
dependent variable.
|
| h | optional scalar, bandwidth. If not given, 20% of the
range of x[,1] is used as default.
|
| alpha | optional scalar, confidence level; default alpha = 0.05.
|
| K | optional string, kernel function on [-1,1]; default = "qua".
|
| v | optional m x 1 vector, values of the independent variable in
which to compute the regression and the confidence
intervals. If not given, the (sorted) x is used.
|
Output: |
| mh | n x 2 or m x 2 matrix, the first column represents the
sorted first column of x or the sorted v and the
second column contains the regression estimate
on the values of the first column. |
| clo | n x 2 or m x 2 matrix, the first column represents the
sorted first column of x or the sorted v and the
second column contains the lower confidence
bounds on the values of the first column. |
| cup | n x 2 or m x 2 matrix, the first column contains the
sorted first column of x or the sorted v and the
second one the upper confidence
bounds on the values of the first column. |