PoSI
Valid Post-Selection Inference for Linear LS Regression
In linear LS regression, calculate for a given design matrix the multiplier K of coefficient standard errors such that the confidence intervals [b - K*SE(b), b + K*SE(b)] have a guaranteed coverage probability for all coefficient estimates b in any submodels after performing arbitrary model selection.
- Version1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/18/2020
Team
Wan Zhang
Kai Zhang
Show author detailsRolesAuthorAndreas Buja
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Suggests1 package