Calculates confidence interval shape.
shape(lo, thetahat, up)
| lo | Numeric. Lower limit of the estimated confidence interval \(\left( \hat{\theta}_{\mathrm{lo}} \right)\). |
|---|---|
| thetahat | Numeric. Parameter estimate \( \left( \hat{ \theta } \right) \) . |
| up | Numeric. Upper limit of the estimated confidence interval \(\left( \hat{\theta}_{\mathrm{up}} \right)\). |
The confidence interval shape is given by $$ \mathrm{ confidence \ interval \ shape } = \frac{ \hat{ \theta }_{ \mathrm{ up } } - \hat{ \theta } } { \hat{ \theta } - \hat{ \theta }_{ \mathrm{ lo } } } $$
The shape measures the asymmetry of the confidence interval around the point estimate \( \hat{ \theta } \). Shape \( > 1.00 \) is indicative of greater distance between \( \hat{ \theta }_{ \mathrm{ up } } \) and \( \hat{ \theta } \) than \( \hat{ \theta } \) and \( \hat{ \theta }_{ \mathrm{ lo } } \) .
Other confidence intervals functions:
bcaci(),
bcci(),
evalci(),
len(),
pcci(),
theta_hit(),
zero_hit()
Ivan Jacob Agaloos Pesigan