LAapproxL: Choose smoothing parameter with marginal likelihood estimated...
In mcneney/logistlogF: Log-F-Penalized Logistic and Conditional Logistic Regression
LAapproxL R Documentation
Choose smoothing parameter with marginal likelihood estimated by Laplace approximation
Description
Choose smoothing parameter with marginal likelihood estimated by Laplace approximation
Usage
LAapproxL(m, XM, y, ini_alpha, confounding_factor, weight_col)
Arguments
weight_col
mcneney/logistlogF documentation built on Nov. 23, 2023, 7:26 p.m.
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| LAapproxL | R Documentation |
Choose smoothing parameter with marginal likelihood estimated by Laplace approximation
Description
Choose smoothing parameter with marginal likelihood estimated by Laplace approximation
Usage
LAapproxL(m, XM, y, ini_alpha, confounding_factor, weight_col)
Arguments
weight_col |
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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