hierfstat             package:hierfstat             R Documentation

_G_e_n_e_r_a_l _i_n_f_o_r_m_a_t_i_o_n _o_n _t_h_e _h_i_e_r_f_s_t_a_t _p_a_c_k_a_g_e

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

     This package contains functions to estimate hierarchical
     F-statistics for any number of hierarchical levels using the
     method described in Yang (1998).  It also contains functions
     allowing to test the significance of population differentiation at
     any given level using the likelihood ratio G-statistic, showed
     previoulsly to be the most powerful statistic to test for
     differnetiation (Goudet etal, 1996) . The difficulty in a
     hierarchical design is to identify which units should be
     permutted. Functions 'samp.within' and 'samp.between' give
     permutations of a sequence that allows reordering of the
     observations in the original data frame. An exemple of application
     is given in the help page for function 'g.stats.glob'.

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

     Jerome Goudet jerome.goudet@unil.ch

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

     Goudet J. (2005). Hierfstat, a package for R to compute and test
     variance components and F-statistics. Molecular Ecology Notes.
     5:184-186

     Goudet J., Raymond, M., DeMeeus, T. and Rousset F. (1996) Testing
     differentiation in diploid populations. Genetics. 144: 1933-1940

     Weir, B.S. (1996) Genetic Data Analysis II. Sinauer Associates.

     Yang, R.C. (1998). Estimating hierarchical F-statistics. Evolution
     52(4):950-956

