R: Argmin Inference over a Discrete Candidate Set

# Argmin Inference over a Discrete Candidate Set

## Documentation for package ‘argminCS’ version 1.1.0

- DESCRIPTION file
- Package README

## Help Pages

argmax.HT | A wrapper to perform argmax hypothesis test.
argmin.HT | A wrapper to perform argmin hypothesis test.
argmin.HT.gupta | Perform argmin hypothesis test using Gupta's method.
argmin.HT.LOO | Perform argmin hypothesis test.
argmin.HT.MT | Perform argmin hypothesis test.
argmin.HT.nonsplit | Perform argmin hypothesis test.
CS.argmax | Construct a discrete confidence set for argmax.
CS.argmin | Construct a discrete confidence set for argmin.
find.sub.argmin | Get the index of the smallest dimension apart from an index
get.quantile.gupta.selection | Generate the quantile used for the selection procedure in (Gupta 1965).
is.lambda.feasible.LOO | Check the feasibility of a tuning parameter lambda for LOO algorithm.
lambda.adaptive.enlarge | Iteratively enlarge a tuning parameter lambda in a data-driven way.
lambda.adaptive.LOO | Generate a scaled.difference.matrix-driven lambda for LOO algorithm.