update_wt

predicted value of response variable

ypre

optional numeric vector of weights.

weights

integer from 1-8, concave function as in <code>ccglm_fit</code>

cfun

integer value, convex function as in <code>ccglm_fit</code>

dfun

a numeric value, see details in <code>ccglm_fit</code>

a positive small value, see details in <code>ccglm_fit</code>

delta

regression

classification

Algorithms compute concave convex (CC) estimators including robust (penalized) generalized linear models and robust support vector machines via the COCO - composite optimization by conjugation operator. The package also contains penalized Poisson, negative binomial, zero-inflated Poisson, zero-inflated negative binomial regression models and robust models with non-convex loss functions. Wang et al. (2014) <doi:10.1002/sim.6314>,
Wang et al. (2015) <doi:10.1002/bimj.201400143>,
Wang et al. (2016) <doi:10.1177/0962280214530608>,
Wang (2021) <doi:10.1007/s11749-021-00770-2>,
Wang (2020) <arXiv:2010.02848>.

update_wt: Compute weight value

Description

Usage

Arguments

Value

References

See Also