dtuvn: Univariate Truncated Normal Distribution
In suchitm/tmvn: Generate random samples from truncated univariate and multivariate normal distributions and truncated Student-t distributions.
Description
Usage
Arguments
Value
References
Description
Calculates density for the truncated normal distribution.
Usage
1
Arguments
x
value of sample
mean
mean
sd
standard deviation
lower
lower bound
upper
upper bound
Value
a vector of generated samples
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
Calculates density for the truncated normal distribution.
Usage
1 |
Arguments
x |
value of sample |
mean |
mean |
sd |
standard deviation |
lower |
lower bound |
upper |
upper bound |
Value
a vector of generated samples
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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