lb_wn: lower bound wilson
In yuliasidi/bin2mi: Binary Multiple Imputations
Description
Usage
Arguments
Value
Examples
Description
calculates lower bound of (1-alpha)100% confidence interval
using Wilson's method
Usage
1
lb_wn(z, phat, n_obs)
Arguments
z
numeric, quantile of either standard normal or t distribution
coresponding to the desired confidence level 1- alpha
phat
numeric, proporrtion estimate
n_obs
numeric, number of observations
Value
numeric
Examples
1
lb_wn(1.96, 0.6, 100)
yuliasidi/bin2mi documentation built on March 11, 2021, 8:10 p.m.
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Description Usage Arguments Value Examples
Description
calculates lower bound of (1-alpha)100% confidence interval using Wilson's method
Usage
1 | lb_wn(z, phat, n_obs)
|
Arguments
z |
numeric, quantile of either standard normal or t distribution coresponding to the desired confidence level 1- alpha |
phat |
numeric, proporrtion estimate |
n_obs |
numeric, number of observations |
Value
numeric
Examples
1 | lb_wn(1.96, 0.6, 100)
|
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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