norminv

Returns the inverse cdf for the normal distribution with mean MU and standard deviation SIGMA at P value
Reference: https://rdrr.io/github/maxto/qapi/src/R/stats.R

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

norminv function

<dl><dt>p</dt>
<dd>probability value in range 0-1</dd>
<dt>mu</dt>
<dd>mean value</dd>
<dt>sigma</dt>
<dd>standard deviation</dd></dl>

Arguments

Inverse of the normal cumulative distribution function (cdf) — norminv

<dl>

<dt>p</dt>
<dd>probability value in range 0-1</dd>


<dt>mu</dt>
<dd>mean value</dd>


<dt>sigma</dt>
<dd>standard deviation</dd>

</dl>

norminv: Inverse of the normal cumulative distribution function (cdf)

Description

Usage

Value

Arguments

Examples