normexp {limma} | R Documentation |
Marginal log-likelihood of foreground values for normal + exponential model and its derivatives.
These functions are called by normexp.fit
and are not normally called directly by the user.
normexp.m2loglik(par,x) normexp.grad(par,x)
par |
numeric vector of parameters |
x |
numeric vector of (background corrected) intensities |
The parameter vector par
holds the normal mean, the normal log-standard deviation and the exponential mean.
Computes minus twice the log-likelihood based on the $normal(μ,σ^2)+exponential(α)$ convolution model for the foreground intensities.
The elements of par
are $μ$, $log(σ)$ and $log(α)$.
normexp.m2loglik
returns a numeric scalar holding minus-twice the log-likelihood.
normexp.grad
returns a numeric vector holding the derivatives with respect to the elements of par
.
Jeremy Silver and Gordon Smyth
An overview of background correction functions is given in 04.Background
.