Description Usage Arguments Value References Examples
Constructs a confidence interval for regression function value for Hölder space based on the optimal one-sided procedure of Armstrong and Kolesár (2020).
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y |
a vector of dependent variable |
x |
a vector of regressor |
point |
point where the regression function value would be evaluated |
C |
bound on the second derivative |
level |
confidence level of each one-sided confidence intervals |
kern |
specifies kernel function used in the local regression; default = |
se.initial |
method for estimating initial variance for computing optimal bandwidt; default = |
se.method |
methods for estimating standard error of estimate; default = |
J |
number of nearest neighbors, if "nn" is specified in se.method. |
cv |
supplied value of critical value to be used in constructing confidence interval;
default is |
TE |
logical specifying whether there are treatment and control groups. |
d |
a vector of indicator variables specifying treatment and control group status;
relevant only when |
bw.eq |
if |
a vector of lower and upper ends of the confidence interval and a pair of bandwidths used for the treatment and control groups.
Armstrong, Timothy B., and Michal Kolesár. 2020. "Simple and Honest Confidence Intervals in Nonparametric Regression." Quantitative Economics 11 (1): 1–39.
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