R: Confidence Intervals Utilizing Uncertain Prior Information

# Confidence Intervals Utilizing Uncertain Prior Information

## Documentation for package ‘ciuupi’ version 1.2.3

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

acX_to_rho | Computes the known correlation rho between \widehat{theta} and \widehat{tau} from the p-vectors a and c and the design matrix X
bs.list.example | The list that specifies the CIUUPI for the example
bsspline | Evaluate the functions b and s at 'x'
bs_ciuupi | Computes the the functions b and s that specify the CIUUPI for all possible values of sigma and the observed response vector
ciuupi_observed_value | For given observed response vector y, compute the confidence interval that utilizes the uncertain prior information (CIUUPI)
ci_standard | For given observed response vector y, compute the standard 1 - alpha confidence interval
cpciuupi | Compute the coverage probability of the CIUUPI
plot_b | Plot the graph of the odd function b used in the specification of the CIUUPI
plot_cp | Plot the graph of the coverage probability of the CIUUPI
plot_s | Plot the graph of the even function s used in the specification of the CIUUPI
plot_squared_sel | Plot the graph of the squared scaled expected length of the CIUUPI
selciuupi | Compute the scaled expected length of the CIUUPI