Kabaila and Giri (2009) Confidence Interval

Computes a confidence interval for a specified linear combination of the regression parameters in a linear regression model with iid normal errors with unknown variance when there is uncertain prior information that a distinct specified linear combination of the regression parameters takes a specified number. This confidence interval, found by numerical nonlinear constrained optimization, has the required minimum coverage and utilizes this uncertain prior information through desirable expected length properties. This confidence interval is proposed by Kabaila, P. and Giri, K. (2009) .


Reference manual

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1.0.1 by Paul Kabaila, 10 months ago

Browse source code at https://github.com/cran/ciuupi2

Authors: Nishika Ranathunga [aut] , Paul Kabaila [aut, cre]

Documentation:   PDF Manual  

GPL-2 license

Imports functional, nloptr, pracma, PreciseSums, statmod

Suggests knitr, rmarkdown

See at CRAN