fitTN: Estimate Mean and Scale of Truncated Normal
In zrmacc/LFDR: Local False Discovery Rate Estimation
Description
Usage
Arguments
Value
Description
Estimates the location and scale of a truncated normal distribution.
Usage
1
fitTN(z, L, U, maxit = 25, eps = 1e-08, report = F)
Arguments
z
Observations.
L
Lower truncation limit.
U
Upper truncation limit.
maxit
Maximum iterations.
eps
Tolerance.
report
Report fitting progress?
Value
Vector containing the estimated location and scale of the truncated
normal distribution.
zrmacc/LFDR documentation built on May 3, 2019, 9:01 p.m.
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Description Usage Arguments Value
Description
Estimates the location and scale of a truncated normal distribution.
Usage
1 | fitTN(z, L, U, maxit = 25, eps = 1e-08, report = F)
|
Arguments
z |
Observations. |
L |
Lower truncation limit. |
U |
Upper truncation limit. |
maxit |
Maximum iterations. |
eps |
Tolerance. |
report |
Report fitting progress? |
Value
Vector containing the estimated location and scale of the truncated normal distribution.
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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