lrCI: lrCI
In chipmanj/SeqSGPV: Sequential Monitoring of Scientific Regions Using the Second Generation P-Value
lrCI R Documentation
lrCI
Description
lrCI
Usage
lrCI(look, modelFitArgs)
Arguments
look
Current number of observations accrued
modelFitArgs
Arguments specific to the interval function. lmCI and lrCI require y (outcomes), XD (design matrix), and miLevel (monitoring interval level) which are set in SeqSGPV. binomCI requires x (successes), n (observations), and any other inputs used in binom::binconf.
Value
est, lower bound, and upper bound
chipmanj/SeqSGPV documentation built on May 1, 2024, 10:38 p.m.
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| lrCI | R Documentation |
lrCI
Description
lrCI
Usage
lrCI(look, modelFitArgs)
Arguments
look |
Current number of observations accrued |
modelFitArgs |
Arguments specific to the interval function. lmCI and lrCI require y (outcomes), XD (design matrix), and miLevel (monitoring interval level) which are set in SeqSGPV. binomCI requires x (successes), n (observations), and any other inputs used in binom::binconf. |
Value
est, lower bound, and upper bound
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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