pmxpartabc

An R package for parameter estimate tables.

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Installation

This package is not yet on CRAN. To install the latest development version directly from GitHub:

require(remotes)
devtools::install_github("certara/pmxpartabc")

Usage

library(pmxpartabc)

output <- parframe2setup(run_dir = file.path(system.file(package = "pmxpartabc"), "examples"), 
                      run_prefix = "run", 
                      runno = "5",
                      bootstrap = TRUE,
                      run_dir.boot = file.path(system.file(package = "pmxpartabc"), "examples", "bootstrap_dir2"),
                      runno.boot = "5boot",
                      conf.level = 0.95, 
                      min_suc = TRUE)

df <- parframe(out=output[[1]], meta=output[[2]], bootstrap = TRUE)  

table <- pmxpartab(df, 
                   meta = output[[2]],
                   columns=c(value="Estimate", boot.median = "Bootstrap Estimate", rse="RSE%", ci95="95%CI", shrinkage="Shrinkage")
                   )

print(table)

Parameter	Estimate	Bootstrap Estimate	RSE%	95%CI	Shrinkage
Typical Values
Central Volume (L)	24.7	24.9	8.29	21.7 – 26.8
Clearance (L/h)	0.659	0.669	249	0.303 – 0.759
Peripheral Volume (L)	76.5	79.4	195	68.4 – 115
Intercompartimental Clearance (L/h)	1.83	1.89	34.7	1.83 – 1.95
Absorption Rate (h-1)	0.653	0.636	52.7	0.559 – 0.790
Between Subject Variability
On Volume	0.169	0.169	22.2	0.0999 – 0.219	0.300%
Correlation On Clearance,On Volume	0.140	0.139	199	0.0928 – 0.336
On Clearance	0.358	0.368	282	0.234 – 1.62	1.30%
Residual Error
Proportional Error (-)	0.102	0.104	147	0.0977 – 0.115	20.1%