simpost: Mass marginal posterior density with the Laplace...
In sgolchi/BPD: Bayesian Particle Discovery
Description
Mass marginal posterior density with the Laplace approximation
Usage
1
simpost(j, m, G, snew, cnew, covmat, lambda_mean)
Arguments
j
index
m
the mass of Higgs
G
grid over which the signal is evaluated
snew
matrix of signal widths, same dimensions as cnew
cnew
matrix of signal normalizing constants - dimensions are (size of grid G)by(number of categories/channels,41)
covmat
covariance matrix for teh background prior
lambda_mean
mean vector for the background prior
lambda0
initial backgorund value
y
observations
sgolchi/BPD documentation built on May 19, 2019, 3:05 a.m.
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Description
Mass marginal posterior density with the Laplace approximation
Usage
1 | simpost(j, m, G, snew, cnew, covmat, lambda_mean)
|
Arguments
j |
index |
m |
the mass of Higgs |
G |
grid over which the signal is evaluated |
snew |
matrix of signal widths, same dimensions as |
cnew |
matrix of signal normalizing constants - dimensions are (size of grid |
covmat |
covariance matrix for teh background prior |
lambda_mean |
mean vector for the background prior |
lambda0 |
initial backgorund value |
y |
observations |
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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