bin_data: A simulated binomial data set.
In glmtlp: Generalized Linear Models with Truncated Lasso Penalty
bin_data R Documentation
A simulated binomial data set.
Description
A data set simulated for illustrating logistic regression models. Generated by
gen.binomial.data(n = 200, p = 20, seed = 2021).
Usage
data(bin_data)
Format
A list with three elements: design matrix X, response y,
and the true coefficient vector beta.
- X
design matrix
- y
response
- beta
the true coefficient vector
Examples
data("bin_data")
cv.fit <- cv.glmtlp(bin_data$X, bin_data$y, family = "binomial", penalty = "l1")
plot(cv.fit)
glmtlp documentation built on March 18, 2022, 7:59 p.m.
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| bin_data | R Documentation |
A simulated binomial data set.
Description
A data set simulated for illustrating logistic regression models. Generated by
gen.binomial.data(n = 200, p = 20, seed = 2021).
Usage
data(bin_data)
Format
A list with three elements: design matrix X, response y,
and the true coefficient vector beta.
- X
design matrix
- y
response
- beta
the true coefficient vector
Examples
data("bin_data")
cv.fit <- cv.glmtlp(bin_data$X, bin_data$y, family = "binomial", penalty = "l1")
plot(cv.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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