bootweights              package:survey              R Documentation

_C_o_m_p_u_t_e _s_u_r_v_e_y _b_o_o_t_s_t_r_a_p _w_e_i_g_h_t_s

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

     Bootstrap weights for infinite populations are created by sampling
     with replacement from the PSUs in each stratum.  For finite
     populations an empirical population is created as described by
     Canty and Davision (1999).  The bootstrap is primarily useful when
     most strata have many PSUs.

     This bootstrap is strictly appropriate only when the first stage
     of sampling is a simple or stratified random sample of PSUs with
     or without replacement, and not (eg) for PPS sampling.

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

     bootweights(strata, psu, replicates = 50, fpc = NULL,
              fpctype = c("population", "fraction", "correction"),
              compress = TRUE)

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

  strata: Identifier for sampling strata (top level)

     psu: Identifier for primary sampling units

replicates: Number of bootstrap replicates

     fpc: Finite population correction 

 fpctype: Is 'fpc' the population size, sampling fraction, or
          1-sampling fraction?

compress: Should the replicate weights be compressed?

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

     A set of replicate weights

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

     Canty AJ, Davison AC. (1999) Resampling-based variance estimation
     for labour force surveys. The Statistician 48:379-391

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

     'as.svrepdesign'

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

