Extract table of estimated model parameters

Usage

extract_summary(abc, param = NULL)

Arguments

abc: ABC object generated by run_abc
param: A character vector containing either parameter names to summarize, or a regex-like matches to be used for subsetting. If NULL (the default), all parameters will be extracted.

Value

A data frame object with posterior summary statistics

Examples

# read example ABC result with an inferred joint posterior distribution
abc_res <- readRDS(system.file("examples/basics_abc.rds", package = "demografr"))

extract_summary(abc_res)
#> Warning: Selecting bandwidth *not* using 'weights'
#> Warning: Selecting bandwidth *not* using 'weights'
#> Warning: Selecting bandwidth *not* using 'weights'
#> Warning: Selecting bandwidth *not* using 'weights'
#> Warning: Selecting bandwidth *not* using 'weights'
#> Warning: Selecting bandwidth *not* using 'weights'
#> Warning: Selecting bandwidth *not* using 'weights'
#> Warning: Selecting bandwidth *not* using 'weights'
#>                            Ne_A      Ne_B      Ne_C     Ne_D       T_AB
#> Min.:                  1609.744  682.6193  7389.026 1846.029  -96.82908
#> Weighted 2.5 % Perc.:  1812.239  729.5846  7585.374 2691.913 1242.73702
#> Weighted Median:       2030.741  837.2673  8588.420 3785.385 1907.90411
#> Weighted Mean:         2019.638  841.6564  8674.207 3805.943 1949.07359
#> Weighted Mode:         2049.985  847.0022  8469.365 3642.722 1911.88919
#> Weighted 97.5 % Perc.: 2204.442  979.8260  9543.851 4742.401 2690.25909
#> Max.:                  2281.020 1038.0898 10965.790 5915.021 2921.08324
#>                            T_BC     T_CD       gf_BC
#> Min.:                  5272.336 6608.244 -0.02143034
#> Weighted 2.5 % Perc.:  5630.022 7105.185  0.03373237
#> Weighted Median:       6133.605 7829.842  0.09864958
#> Weighted Mean:         6110.468 7814.700  0.10241672
#> Weighted Mode:         6236.457 7855.537  0.09655264
#> Weighted 97.5 % Perc.: 6603.022 8379.513  0.17629759
#> Max.:                  6838.022 8551.676  0.21388432