| Name : R-MOST
| |
| Version : 0.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.8
| Date : 2024-06-14 11:03:32
|
| Group : Development/Libraries/Other
| Source RPM : R-MOST-0.1.2-lp153.1.8.src.rpm
|
| Size : 0.06 MB
| |
| Packager : (none)
| |
| Summary : Multiphase Optimization Strategy
|
Description :
Provides functions similar to the \'SAS\' macros previously provided to
accompany Collins, Dziak, and Li (2009) < DOI:10.1037/a0015826> and
Dziak, Nahum-Shani, and Collins (2012) < DOI:10.1037/a0026972>, papers
which outline practical benefits and challenges of factorial and
fractional factorial experiments for scientists interested in
developing biological and/or behavioral interventions, especially in
the context of the multiphase optimization strategy (see Collins,
Kugler & Gwadz 2016) < DOI:10.1007/s10461-015-1145-4>. The package
currently contains three functions. First, RelativeCosts1() draws a
graph of the relative cost of complete and reduced factorial designs
versus other alternatives. Second, RandomAssignmentGenerator() returns
a dataframe which contains a list of random numbers that can be used to
conveniently assign participants to conditions in an experiment with
many conditions. Third, FactorialPowerPlan() estimates the power,
detectable effect size, or required sample size of a factorial or
fractional factorial experiment, for main effects or interactions,
given several possible choices of effect size metric, and allowing
pretests and clustering.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
