Comments (2)
I would guess that the error occurs because you are working with a very large dataset with some very large clusters in it. But the broader issue is that clubSandwich does not support models estimated with the survey package. (The default methods might work but I have not tested them.) The survey package has its own implementation of cluster-robust standard errors, I would suggest trying as the first course of action.
from clubsandwich.
That sounds great. Thank you very much!
from clubsandwich.
Related Issues (20)
- support for MASS::polr HOT 1
- add tests for rma.mv() with random slopes
- tidy tidy HOT 1
- Update docs for conf_int() HOT 1
- error handling in Wald_test(). HOT 1
- consistent output in coef_test() and conf_int() HOT 1
- check compatibility of rma.mv methods with robust() models
- Confidence intervals for linear contrasts
- bug in plm random effects models HOT 1
- New fast CRV3 estimator by MacKinnon, Nielsen & Webb HOT 2
- heteroskedasticity-consistent variance-covariance estimators
- problem indexing with coef_test() HOT 4
- Robust SEs for ranef() and coef() from lme4/glmmTMB? HOT 2
- Deactivate test (or test for now correct) plm::vcovHC for FD models with clustering on time dimension
- Issue when a coefficient is just estimated by a single observation HOT 1
- Problem when using a fixest::feols-object HOT 11
- Data error in vcov(gls()) HOT 2
- Undocumented type = "CR4" argument HOT 1
- Non-nested random effect models HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from clubsandwich.