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.
Value
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
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. 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. 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
Justin Wilkins, justin.wilkins@occams.com