getPIPs: Get posterior inclusion probabilities per feature
In graper: Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes
Description
Usage
Arguments
Value
Examples
View source: R/get_functions.R
Description
Function to obtain estimated posterior inclusion
probabilities per feature from a fitted graper model.
Usage
1
getPIPs(object)
Arguments
object
fitted graper model as obtained from graper
Value
1-Column matrix of estimated posterior inclusion probabilities.
Examples
1
2
3
4
5
6
# create data
dat <- makeExampleData()
# fit the graper model to the data
fit <- graper(dat$X, dat$y, dat$annot)
# extract the posterior inclusion probabilities from the fitted model
getPIPs(fit)
graper documentation built on Nov. 8, 2020, 5:45 p.m.
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Description Usage Arguments Value Examples
View source: R/get_functions.R
Description
Function to obtain estimated posterior inclusion probabilities per feature from a fitted graper model.
Usage
1 | getPIPs(object)
|
Arguments
object |
fitted graper model as obtained from |
Value
1-Column matrix of estimated posterior inclusion probabilities.
Examples
1 2 3 4 5 6 | # create data
dat <- makeExampleData()
# fit the graper model to the data
fit <- graper(dat$X, dat$y, dat$annot)
# extract the posterior inclusion probabilities from the fitted model
getPIPs(fit)
|
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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