Comments (3)
Same for the associated riskdiff
calls.
from risks.
Still thinking out loud here: yes, of course this is the right answer, since the output is providing estimates for n
parameters instead of n-1
for a factor. Let's think about how to set a reference term in the actual modeling functions.
from risks.
Great catch. Indeed, I think these apparent singularities arise because coefficients for variables that are not the exposure are not being calculated by marginal standardization approaches. Agree it would be good to get rid of the warning.
from risks.
Related Issues (13)
- Fitting functions don't handle interactions HOT 1
- Only getting coefficients for first variable HOT 1
- `confint()` may not behave as intended HOT 2
- Convergence errors could be described HOT 1
- Does `approach = "all"` option need a progress bar? HOT 2
- Tidier UI for all models HOT 1
- Write tests for caseduplicate.R HOT 1
- add {logbin} and {addreg} as dependencies HOT 1
- FR: Add support for propensity weights HOT 1
- consider tidymodels connector
- make hex
- repair "all" behavior for estimate_risk()
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 risks.