read_scm function

Read PsN SCM output into a format suitable for further use.

read_scm returns a summary of a Perl-speaks-NONMEM (PsN, https://uupharmacometrics.github.io/PsN/) SCM (stepwise covariate modeling) procedure. It depends on the presence of scmlog.txt and short_scmlog.txt files in the specified directory.

read_scm(dir, startPhase = "forward")

Arguments

• dir: A PsN SCM folder (containing scmlog.txt and short_scmlog.txt).
• startPhase: Where to start collating the output; can be "forward" (the default) or "backward".

Returns

A list of data frames, containing - forward: all models evaluated during the forward inclusion step of covariate model building

• forwardSummary: the covariate relationships selected at each forward step

• forwardP: the P-value used for inclusion during the forward inclusion step

• backward: all models evaluated during the backward elimination step of covariate model building

• backwardSummary: the covariate relationships eliminated at each backward step

• backwardP: the P-value used for exclusion during the backward elimination step

Examples

## Not run:

scm <- read_scm("E:/DrugX/ModelDevelopment/scm310")
## End(Not run)

See Also

NONMEM (https://www.iconplc.com/innovation/nonmem/)

Lindbom L, Ribbing J & Jonsson EN (2004). Perl-speaks-NONMEM (PsN) - A Perl module for NONMEM related programming. Computer Methods and Programs in Biomedicine, 75(2), 85-94. tools:::Rd_expr_doi("10.1016/j.cmpb.2003.11.003")

Lindbom L, Pihlgren P & Jonsson N (2005). PsN-Toolkit - A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM. Computer Methods and Programs in Biomedicine, 79(3), 241-257. tools:::Rd_expr_doi("10.1016/j.cmpb.2005.04.005")

Other NONMEM reading: plot_scm(), read_nm_all(), read_nm_multi_table(), read_nmcov(), read_nmext(), read_nmtables(), read_nm()

Author(s)

Justin Wilkins, justin.wilkins@occams.com