Fit.EF: Fit Exponential Family Density
In zrmacc/LFDR: Local False Discovery Rate Estimation
Description
Usage
Arguments
Value
Description
Fit an exponential family distribution of degree d to a
sample of observations z.
Usage
1
Arguments
z
Observations.
b
Bins for discretizing
d
Polynomial degree.
method
Either "ns" for natural splines, or "poly" for orthogonal
polynomials. Default is "poly".
Value
A list containing a function f for evaluating the fitted
density, and the estimated regression coefficients beta.
zrmacc/LFDR documentation built on May 3, 2019, 9:01 p.m.
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Description Usage Arguments Value
Description
Fit an exponential family distribution of degree d to a
sample of observations z.
Usage
1 |
Arguments
z |
Observations. |
b |
Bins for discretizing |
d |
Polynomial degree. |
method |
Either "ns" for natural splines, or "poly" for orthogonal polynomials. Default is "poly". |
Value
A list containing a function f for evaluating the fitted
density, and the estimated regression coefficients beta.
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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