Declare and Diagnose Research Designs
Draw data, estimates, and inquiries from a design
Declare a design via a designer
Find all objects and variables used in a design or design step
Get estimates, inquiries, assignment vectors, or samples from a design...
Modify a design after the fact
Modify internal variables in a design
Population variance function
Explore your design
Redesign
Objects exported from other packages
Clean up a diagnosis object for printing
Run a design one time
Select diagnosands
Set the citation of a design
Set the diagnosands for a design
Simulate a design
Tidy Model Results and Filter to Relevant Coefficients
Tidy diagnosis
Obtain the preferred citation for a design
Compare Diagnoses
Compare two designs
Declare Data Strategy: Assignment
Declare a design
Declare diagnosands
Declare estimator
Declare inquiry
Used to inherit roxygen docs
Declare measurement procedure
Declare the size and features of the population.
Declare the size and features of the population
Declare potential outcomes
Declare a reveal outcomes step
Declare sampling procedure
Declare a custom step
Declare test
Deprecated functions in package DeclareDesign.
DeclareDesign package
Diagnose the design
Explore your design diagnosis
Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Useful links