log_comp_dens_conv.normalmix: log_comp_dens_conv.normalmix
In stephens999/ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
log_comp_dens_conv.normalmix R Documentation
log_comp_dens_conv.normalmix
Description
returns log-density of convolution of each component
of a normal mixture with N(0,s^2) or s*t(v) at x. Note that
convolution of two normals is normal, so it works that way
Usage
## S3 method for class 'normalmix'
log_comp_dens_conv(m, data)
Arguments
m
mixture distribution with k components
data
a list with components x and s to be interpreted as a normally-distributed observation and its standard error
Value
a k by n matrix
stephens999/ashr documentation built on May 16, 2024, 3:10 a.m.
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| log_comp_dens_conv.normalmix | R Documentation |
log_comp_dens_conv.normalmix
Description
returns log-density of convolution of each component of a normal mixture with N(0,s^2) or s*t(v) at x. Note that convolution of two normals is normal, so it works that way
Usage
## S3 method for class 'normalmix'
log_comp_dens_conv(m, data)
Arguments
m |
mixture distribution with k components |
data |
a list with components x and s to be interpreted as a normally-distributed observation and its standard error |
Value
a k by n matrix
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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