MixtureDensity: Compute full mixture density for data, assuming exponential...
In krisrs1128/LocFDRPois: Functions for Performing Local FDR Estimation when Null and Alternative are Poisson
Description
Usage
Arguments
Value
Description
Compute full mixture density for data, assuming exponential family model
Usage
1
Arguments
data
The raw data (before histogramming) to estimate a mixture density
for.
df
The number of degrees of freedom to use in the natural spline
in fitting the mixture density.
knots
The positions of the knots to use in the natural spline fit.
Value
f\_hat The estimated mixture density function (can be called on numeric
vectors.)
krisrs1128/LocFDRPois documentation built on May 20, 2019, 1:26 p.m.
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Description Usage Arguments Value
Description
Compute full mixture density for data, assuming exponential family model
Usage
1 |
Arguments
data |
The raw data (before histogramming) to estimate a mixture density for. |
df |
The number of degrees of freedom to use in the natural spline in fitting the mixture density. |
knots |
The positions of the knots to use in the natural spline fit. |
Value
f\_hat The estimated mixture density function (can be called on numeric vectors.)
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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