Nothing
inst/example/ex-compute_derivative.R
In grasps: Groupwise Regularized Adaptive Sparse Precision Solution
library(grasps)
library(ggplot2)
deriv_df <- compute_derivative(
omega = seq(0, 4, by = 0.01),
penalty = c("atan", "exp", "lasso", "lq", "lsp", "mcp", "scad"),
lambda = 1)
plot(deriv_df) +
scale_y_continuous(limits = c(0, 1.5)) +
guides(color = guide_legend(nrow = 2, byrow = TRUE))
Try the grasps package in your browser
Any scripts or data that you put into this service are public.
grasps documentation built on Nov. 28, 2025, 1:06 a.m.
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.
library(grasps)
library(ggplot2)
deriv_df <- compute_derivative(
omega = seq(0, 4, by = 0.01),
penalty = c("atan", "exp", "lasso", "lq", "lsp", "mcp", "scad"),
lambda = 1)
plot(deriv_df) +
scale_y_continuous(limits = c(0, 1.5)) +
guides(color = guide_legend(nrow = 2, byrow = TRUE))
Try the grasps package in your browser
Any scripts or data that you put into this service are public.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.