fuzzyFDR-package          package:fuzzyFDR          R Documentation

_E_x_a_c_t _c_a_l_c_u_l_a_t_i_o_n _o_f _f_u_z_z_y _d_e_c_i_s_i_o_n _r_u_l_e_s _f_o_r _m_u_l_t_i_p_l_e _t_e_s_t_i_n_g

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

     Exact calculation of fuzzy decision rules for multiple testing.
     Choose to control FDR (false discovery rate) using the Benjamini
     and Hochberg method, or FWER (family wise error rate) using the
     Bonferroni method. Kulinsakaya and Lewin (2007).

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


       Package:  fuzzyFDR
       Type:     Package
       Version:  1.0
       Date:     2007-10-16
       License:  GPL

     ~~ An overview of how to use the package, including the most
     important functions ~~

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

     Alex Lewin  Maintainer: Alex Lewin <a.m.lewin@imperial.ac.uk>

_R_e_f_e_r_e_n_c_e_s:

     Kulinsakaya and Lewin (2007).

_E_x_a_m_p_l_e_s:

     data(example1)
     names(example1)
     fuzzyBHexact(example1$pvals,example1$pprev,alpha=0.05)
     data(example2)
     names(example2)
     fuzzyBHexact(example2$pvals,example2$pprev,alpha=0.05)

