prior_normal: Specify a normal (or truncated normal) prior for a regression...
In smoothbp: Hierarchical Piecewise Regression with Smoothed Change-Points
prior_normal R Documentation
Specify a normal (or truncated normal) prior for a regression coefficient
Description
Specify a normal (or truncated normal) prior for a regression coefficient
Usage
prior_normal(mean = 0, sd = 1, lb = -Inf, ub = Inf)
Arguments
mean
Prior mean. Default 0.
sd
Prior standard deviation. Default 1.
lb
Lower bound (use -Inf for unconstrained). Default -Inf.
ub
Upper bound (use Inf for unconstrained). Default Inf.
Value
A smoothbp_prior object.
smoothbp documentation built on June 14, 2026, 9:06 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.
| prior_normal | R Documentation |
Specify a normal (or truncated normal) prior for a regression coefficient
Description
Specify a normal (or truncated normal) prior for a regression coefficient
Usage
prior_normal(mean = 0, sd = 1, lb = -Inf, ub = Inf)
Arguments
mean |
Prior mean. Default 0. |
sd |
Prior standard deviation. Default 1. |
lb |
Lower bound (use |
ub |
Upper bound (use |
Value
A smoothbp_prior object.
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.