sample_case2_r: Sample Case 2
In suchitm/tmvn: Generate random samples from truncated univariate and multivariate normal distributions and truncated Student-t distributions.
Description
Usage
Arguments
Value
References
Description
generate a sample from case 2 where the bounds are 0 \in [a, b].
The cases are listed on page 4 of Li & Ghosh (2015).
Usage
1
sample_case2_r(a, b)
Arguments
a
Lower bound of truncation
b
Upper bound of truncattion
Value
x
value of the sample
acc
number of proposals for acceptance
References
Li, Y., & Ghosh, S. K. (2015). Efficient sampling methods for
truncated multivariate normal and student-t distributions subject to
linear inequality constraints. Journal of Statistical Theory and
Practice, 9(4), 712-732.
suchitm/tmvn documentation built on Dec. 10, 2020, 10:25 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.
Description Usage Arguments Value References
Description
generate a sample from case 2 where the bounds are 0 \in [a, b]. The cases are listed on page 4 of Li & Ghosh (2015).
Usage
1 | sample_case2_r(a, b)
|
Arguments
a |
Lower bound of truncation |
b |
Upper bound of truncattion |
Value
x |
value of the sample |
acc |
number of proposals for acceptance |
References
Li, Y., & Ghosh, S. K. (2015). Efficient sampling methods for truncated multivariate normal and student-t distributions subject to linear inequality constraints. Journal of Statistical Theory and Practice, 9(4), 712-732.
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.