dnormexp                package:limma                R Documentation

_T_h_e _N_o_r_m_a_l + _E_x_p_o_n_e_n_t_i_a_l _C_o_n_v_o_l_u_t_i_o_n _D_i_s_t_r_i_b_u_t_i_o_n

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

     Density of the normal + exponential convolution distribution. This
     function is called by 'normexp.fit'.

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

     dnormexp(x,normmean,normsd,expmean,log=FALSE)
     dnormexp.saddle(x,normmean,normsd,expmean,log=FALSE,secondorder=TRUE)

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

       x: numeric vector of quantiles

normmean: mean of normal distribution

  normsd: standard deviation of normal distribution

 expmean: mean of exponential distribution

     log: logical, if 'TRUE', density values 'd' are given as 'log(d)'

secondorder: logical, if 'TRUE' the second order saddle-point
          approximation is used

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

     'dnormexp' computes the exact density but may fail for some
     extreme parameter values. 'dnormexp.saddle' computes the
     saddle-point approximation to the density.

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

     numeric vector of density or log-density values.

_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'.

