Description Usage Arguments Note References Examples
Computes honest CIs for local linear regression with uniform kernel under the bounded misspecification error class of functions, as considered in Kolesár and Rothe (2018)
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formula 
object of class 
data 
optional data frame, list or environment (or object coercible by

subset 
optional vector specifying a subset of observations to be used in the fitting process. 
cutoff 
specifies the RD cutoff in the running variable. 
na.action 
function which indicates what should happen when the data
contain 
hp, hm 
bandwidth for treated (units with positive running variable),
and control (units with negative running variable) units. If 
alpha 
determines confidence level, 
order 
Order of local regression 1 for linear, 2 for quadratic. 
regformula 
Explicitly specify regression formula as alternative to
local linear regression, with 
subset
is evaluated in the same way as variables in formula
,
that is first in data
and then in the environment of formula
.
Kolesár, Michal, and Christoph Rothe. 2018. "Inference in Regression Discontinuity Designs with a Discrete Running Variable." American Economic Review 108 (8): 2277–2304.
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