gendata_MLR {HTLR} | R Documentation |
Generate Simulated Data with Multinomial Logistic Regression Model
Description
This function generates the response variables y
given
optional supplied X
using a multinomial logistic regression model.
Usage
gendata_MLR(n, p, NC = 3, nu = 2, w = 1, X = NULL, betas = NULL)
Arguments
n |
Number of observations. |
p |
Number of features. |
NC |
Number of classes for response variables. |
nu , w |
If |
X |
The design matrix; will be generated from standard normal distribution if not supplied. |
betas |
User supplied regression coefficients. |
Value
A list contains input matrix X
, response variables y
, and regression coefficients deltas
.
See Also
Examples
set.seed(12345)
dat <- gendata_MLR(n = 100, p = 10)
ggplot2::qplot(dat$y, bins = 6)
corrplot::corrplot(cor(dat$X))
[Package HTLR version 0.4-4 Index]