validate_d_m

<p>Ensure d_m is a supported pair of design and model.
If d_m is just a design, select a default model.
Convert PowerUp! names to our naming system as needed.</p>

internal

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.

Luke Miratrix

PUMP

Power Under Multiplicity Project

Kristen Hunter

Zarni Htet

Kristin Porter

MDRC 

Institute of Education Sciences 

validate_d_m function

Validate d_m string — validate_d_m

Validate d_m string

validate_d_m: Validate d_m string

Description

Usage

Arguments

Value