rankest.grpols: Estimate dimensions for a group OLS, Qreg, or Theil-Sen model
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Description
Estimate dimensions for a group OLS, Qreg, or Theil-Sen model
Usage
1
rankest.grpols(X, Y, idx, method = c("ols", "quantile", "theil-sen"), q = 0.5)
Arguments
X
the covariates
Y
the response
idx
the group assignment for each covariate
method
one of "ols", "quantile", or "theil-sen".
q
a quantile if method is "quantile". defaults to 0.50.
Value
a list
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value
Description
Estimate dimensions for a group OLS, Qreg, or Theil-Sen model
Usage
1 | rankest.grpols(X, Y, idx, method = c("ols", "quantile", "theil-sen"), q = 0.5)
|
Arguments
X |
the covariates |
Y |
the response |
idx |
the group assignment for each covariate |
method |
one of "ols", "quantile", or "theil-sen". |
q |
a quantile if method is "quantile". defaults to 0.50. |
Value
a list
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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