Multiple Count Estimator for Population Total and Variance
Usage
estimMC(
y,
sampled,
total,
method = "SRSWOR",
selProb = NULL,
incProb = NULL,
verbose = FALSE
)Arguments
- y
numeric variable to be estimated
- sampled
numeric total number of units sampled
- total
numeric total number of units int the population
- method
character selection method code e.g SRSWOR
- selProb
the selection probabilities (if known)
- incProb
the inclusion probabilities (if known)
- verbose
(Optional) Set to TRUE if you want informative text printed out, or FALSE if you don't. The default is FALSE.
Value
list of 7 elements including the population mean, total (and their variance), the algorithm name used and the I order inclusion probabilities
Examples
estimMC(c(3, 4, 4, 5), c(4, 4, 4, 4), c(8, 8, 8, 8))
#> $est.total
#> [1] 32
#>
#> $est.mean
#> [1] 4
#>
#> $est.algorithm
#> [1] "Generalized Horvitz-Thompson aka Mutiple-Count"
#>
#> $var.total
#> [1] 5.333333
#>
#> $var.mean
#> [1] 0.08333333
#>
#> $var.algorithm
#> [1] "Sen-Yates-Grundy"
#>
#> $PI
#> [,1] [,2] [,3] [,4]
#> [1,] 0.5000000 0.2142857 0.2142857 0.2142857
#> [2,] 0.2142857 0.5000000 0.2142857 0.2142857
#> [3,] 0.2142857 0.2142857 0.5000000 0.2142857
#> [4,] 0.2142857 0.2142857 0.2142857 0.5000000
#>