splinebasis

For each column of an input matrix, elements which are less than the median of that column are set to 0, leaving the rest of the elements unchanged.

We provide a list of functions for replicating the results of the Monte Carlo simulations and empirical application of Jiang et al. (2022).
In particular, we provide corresponding functions for generating the three types of random data described in this paper, as well as all the estimation strategies.
Detailed information about the data generation process and estimation strategy can be found in Jiang et al. (2022) <doi:10.48550/arXiv.2201.13004>.

Mingxin Zhang

drcarlate

Improving Estimation Efficiency in CAR with Imperfect Compliance

Liang Jiang

Oliver B. Linton

Haihan Tang

Yichong Zhang

splinebasis function

<dl><dt>X</dt>
<dd>The extra covariates, a n x K matrix. No constant included.</dd></dl>

Arguments

For each column of an input matrix, elements which are less than the median of that column are set to 0, leaving the rest of the elements unchanged — splinebasis

<dl>

<dt>X</dt>
<dd>The extra covariates, a n x K matrix. No constant included.</dd>

</dl>

splinebasis: For each column of an input matrix, elements which are less than the median of that column are set to 0, leaving the rest of the elements unchanged

Description

Usage

Value

Arguments

Examples