sensOLS: Sensitivity Interval for Least Squared Estimator
In ivregEX: Create Independent Evidence in IV Analyses and Do Sensitivity Analysis in Regression and IV Analysis

Description Usage Arguments Details Value Note Author(s) See Also

This function performs the background sensitivity interval calculation for the OLS estimator in a regression model.

1	sensOLS(delta1, df, est, se, alpha = 0.05, talpha)

`delta1`	A numeric vector of values of the first sensitivity parameter. Default value `seq(-.1, .1, .01)`. Not used for 2SLS estimator.
`df, est, se`	Degrees of freedom of the model; 2SLS estimate and its standard error.
`alpha`	Significance level. Default at 0.05.
`talpha`	If the interval is to be adjested for model selection etc, the multiplicative factor to be used. Optional.

See the description of senslm.

Returns an object of class "si".

An object if class "si" is essentially a matrix of two columns for the the upper and lower sensitivity limits corresponding to the sensitivity parameters.

Do not use this function by itself, use senslm function.

Bikram Karmakar

senslm, plot.si

ivregEX documentation built on May 1, 2019, 10:08 p.m.