tethered_lm: Tethered hacking interval for linear model
In beauCoker/hacking: Statistical Inference for Ensuring the Robustness of Scientific Results
Description
Usage
Arguments
Value
Description
Tethered hacking interval for linear model
Usage
1
tethered_lm(mdl, theta = 0.1)
Arguments
mdl
lm object representing "base" model
theta
loss tolerance for tethered hacking (default = 0.1)
Value
vector with lower bound and upper bound of hacking interval (LB and UB)
as well as minimum loss estimate (Estimate).
beauCoker/hacking documentation built on Nov. 4, 2019, 7:08 a.m.
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Description Usage Arguments Value
Description
Tethered hacking interval for linear model
Usage
1 | tethered_lm(mdl, theta = 0.1)
|
Arguments
mdl |
|
theta |
loss tolerance for tethered hacking (default = 0.1) |
Value
vector with lower bound and upper bound of hacking interval (LB and UB)
as well as minimum loss estimate (Estimate).
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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