sample_tuvsn_r: Full Rejection sampling steps
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 a truncated univariate standard normal distribution,
TN(0, 1; a, b).
Usage
1
sample_tuvsn_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.
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Description Usage Arguments Value References
Description
Generate a sample from a truncated univariate standard normal distribution, TN(0, 1; a, b).
Usage
1 | sample_tuvsn_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.
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