DesignLibrary
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DeclareDesign
Library of Research Designs
Add MIDA and description of each step in: - [ ] binary_iv_designer.R - [ ] block_cluster_two_arm_designer.R - [ ] cluster_sampling_designer.R - [ ] DesignLibrary.R - [ ] factorial_designer.R - [...
add overidentification tests and multiple instruments add estimand from eq 4.4 of Imbens "Instrumental Variables: An Econometrician’s Perspective" : a linear (not necessarily convex) combination of effects for compliers and...
- not enough to have coverage = 100%, we also want to test how well designers work with broad range of - using expand grid and do.call, test every parameter...
Something like the following, although need to think through decomposition of error term and how to specify correlation between Z and these. The below gives very different results for tradeoff...
1. Remove weights from estimation 2. Allow people to provide potential outcomes as formula Y = 1+ 2*T1 etc which can be transformed into outcome_means using sthg like If(is.null(outcome means))...
| Designer | Priority | Assignee | Function | Documentation | Shiny | Vignette | Merged | |--------------------------------------|----------|----------|----------|---------------|-------|----------|--------| | adaptive_trial_designer | | | | | | | | | ~~audit_experiment_designer~~...
Eventually this should be able to handle different case selection strategies, for example.
ICC
Think it worthwhile making ICC an explicit argument of the cluster designers. Currently it is set when all other vars are set. Think this requires something like, in arguments: ```...
Suggest the canonical designers should have binary outcome option using probit type dgp Documentation change to reflect outcome_means etc are defined on the latent space if binary invoked Alernative is...