mcs: The 'mcs()' helper function combines the 3-steps: simulate,...

In statsccpr/MultCal2Sim:

The 'mcs()' helper function combines the 3-steps: simulate, calibrate, combine

Description

The 'mcs()' helper function combines the 3-steps: simulate, calibrate, combine

Usage

mcs(des_2be_cal, df_or_list_est_tot, form_outcome, form_poststrat, type_cal,
  num_sim = 1, parallel = FALSE, num_core = 1, lgl_rej_neg_sim = TRUE)

Arguments

des_2be_cal	a survey design object that is to be calibrated see design
df_or_list_est_tot	a single data.frame of estimated joint totals or list of data.frames of estimated marginal totals (and respective standard errors) see sim_tot_from_est
form_outcome	a formula of the outcome, whose total we want an improved MCS estimate of see cal_2_sim
form_poststrat	single formula of joint poststrata or list of formulas for marginal poststrata see cal_2_sim
type_cal	a character string for 'mcsp' or 'mcsr'
num_sim	the number of simulations to calibrate onto
parallel	a logical whether to run in parallel using parLapply
num_core	the number of cores for the parallel job
lgl_rej_neg_sim	a logical whether to reject negative simulations

Value

a 1 row data.frame of the MCS estimate and its standard error

statsccpr/MultCal2Sim documentation built on Sept. 3, 2022, 12:39 p.m.