log_comp_dens_conv: log_comp_dens_conv
In stephens999/ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
log_comp_dens_conv R Documentation
log_comp_dens_conv
Description
compute the log density of the components of the
mixture m when convoluted with a normal with standard deviation
s or a scaled (se) student.t with df v, the density is
evaluated at x
Usage
log_comp_dens_conv(m, data)
Arguments
m
mixture distribution with k components
data
details depend on the model
Value
a k by n matrix of log densities
stephens999/ashr documentation built on March 16, 2024, 3:02 a.m.
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| log_comp_dens_conv | R Documentation |
log_comp_dens_conv
Description
compute the log density of the components of the mixture m when convoluted with a normal with standard deviation s or a scaled (se) student.t with df v, the density is evaluated at x
Usage
log_comp_dens_conv(m, data)
Arguments
m |
mixture distribution with k components |
data |
details depend on the model |
Value
a k by n matrix of log densities
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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