compute_IM_quantile: Computes the quantile suggested by Imbens & Manski 2004 in...
In cgaillac/MarginalFElogit: Estimation of Average Marginal Effects in Fixed Effect Logit Models
View source: R/compute_IM_quantile.R
compute_IM_quantile R Documentation
Computes the quantile suggested by Imbens & Manski 2004 in order to have
CI with asymptotic level of 1 - alpha. It solves Eq. (2) in Stoye (2009)
Description
Computes the quantile suggested by Imbens & Manski 2004 in order to have
CI with asymptotic level of 1 - alpha. It solves Eq. (2) in Stoye (2009)
Usage
compute_IM_quantile(alpha, bounds1, std_bounds1)
Arguments
alpha
the level for the confidence interval
bounds1
a vector of length 2, the estimated bounds
std_bounds1
a vector of length 2, the estimated standard errors for
each bound
Value
the value of the quantile suggested by Imbens & Manski 2004
cgaillac/MarginalFElogit documentation built on Dec. 24, 2024, 3:23 p.m.
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View source: R/compute_IM_quantile.R
| compute_IM_quantile | R Documentation |
Computes the quantile suggested by Imbens & Manski 2004 in order to have CI with asymptotic level of 1 - alpha. It solves Eq. (2) in Stoye (2009)
Description
Computes the quantile suggested by Imbens & Manski 2004 in order to have CI with asymptotic level of 1 - alpha. It solves Eq. (2) in Stoye (2009)
Usage
compute_IM_quantile(alpha, bounds1, std_bounds1)
Arguments
alpha |
the level for the confidence interval |
bounds1 |
a vector of length 2, the estimated bounds |
std_bounds1 |
a vector of length 2, the estimated standard errors for each bound |
Value
the value of the quantile suggested by Imbens & Manski 2004
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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