tau2.DL               package:GeneMeta               R Documentation

_e_s_t_i_m_a_t_i_n_g _m_y _a_n_d _t_a_u _i_n _a _R_E_M

_D_e_s_c_r_i_p_t_i_o_n:

     tau2.DL is an estimation of tau in a random effects model (REM)
     using  Cochran's Q statistic

_U_s_a_g_e:

     tau2.DL(Q, num.studies, my.weights)
     mu.tau2(my.d, my.vars.new)
     var.tau2(my.vars.new)

_A_r_g_u_m_e_n_t_s:

       Q: A vector of Cochran's Q statistics.

num.studies: The number of studies used for the meta-analysis.

my.weights: A matrix with one column for each experiment containing the
          variances of the effects that should be combined.

    my.d: A matrix, with one column for each experiment, containing the
          effects that should be combined.

my.vars.new: A matrix, with one column for each experiment, containing 
          the variances of the effects that should be combined.

_D_e_t_a_i_l_s:

_V_a_l_u_e:

_A_u_t_h_o_r(_s):

     L. Lusa and R. Gentleman

_R_e_f_e_r_e_n_c_e_s:

     Choi et al, Combining multiple microarray studies and modeling
     interstudy variation. Bioinformatics, 2003, i84-i90.

_S_e_e _A_l_s_o:

     'dstar','sigmad'

_E_x_a_m_p_l_e_s:

     # please have a look at the vignette

