normexp                package:limma                R Documentation

_N_o_r_m_a_l + _E_x_p_o_n_e_n_t_i_a_l _L_o_g-_L_i_k_e_l_i_h_o_o_d

_D_e_s_c_r_i_p_t_i_o_n:

     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.

_U_s_a_g_e:

     normexp.m2loglik(par,x)
     normexp.grad(par,x)

_A_r_g_u_m_e_n_t_s:

     par: numeric vector of parameters

       x: numeric vector of (background corrected) intensities

_D_e_t_a_i_l_s:

     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
     $normal(mu,sigma^2)+exponential(alpha)$ convolution model for the
     foreground intensities. The elements of 'par' are $mu$,
     $\log(sigma)$ and $\log(alpha)$.

_V_a_l_u_e:

     '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'.

_A_u_t_h_o_r(_s):

     Jeremy Silver and Gordon Smyth

_S_e_e _A_l_s_o:

     An overview of background correction functions is given in
     '04.Background'.

