update_wt: Compute weight value
In mpath: Regularized Linear Models
update_wt R Documentation
Compute weight value
Description
Compute weight value
Usage
update_wt(y, ypre, weights, cfun, s, dfun, delta=0.0001)
Arguments
y
input value of response variable
ypre
predicted value of response variable
weights
optional numeric vector of weights.
cfun
integer from 1-8, concave function as in irglm_fit
dfun
integer value, convex function as in irglm_fit
s
a numeric value, see details in irglm_fit
delta
a positive small value, see details in irglm_fit
Value
Weight value
Author(s)
Zhu Wang <zwang145@uthsc.edu>
References
Zhu Wang (2024)
Unified Robust Estimation, Australian & New Zealand Journal of Statistics. 66(1):77-102.
See Also
compute_wt
mpath documentation built on June 28, 2024, 1:06 a.m.
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| update_wt | R Documentation |
Compute weight value
Description
Compute weight value
Usage
update_wt(y, ypre, weights, cfun, s, dfun, delta=0.0001)
Arguments
y |
input value of response variable |
ypre |
predicted value of response variable |
weights |
optional numeric vector of weights. |
cfun |
integer from 1-8, concave function as in |
dfun |
integer value, convex function as in |
s |
a numeric value, see details in |
delta |
a positive small value, see details in |
Value
Weight value
Author(s)
Zhu Wang <zwang145@uthsc.edu>
References
Zhu Wang (2024) Unified Robust Estimation, Australian & New Zealand Journal of Statistics. 66(1):77-102.
See Also
compute_wt
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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