sim1data: A simulated dataset for fitting case-crossover models.
In awstringer1/casecrossover: Approximate Bayesian Inference for Case Crossover Models
Description
These data were simulated from a multinomial distribution of the form described in the
case crossover paper, with true additive predictor eta = 3 *(exposure^2 - .5^2). It is good for
testing the fitting of case crossover models and learning the API for prior specification and linear
constraints.
Usage
1
Format
A tibble with 3,596 rows and 6 columns:
- exposure
The covariate used for the simulations
- eta
The true value of the additive predictor, for comparison
- prob
The corresponding true probability of case == 1
- subject
Subject id, to be used as the strata variable
- exposure_binned
The exposure covariate binned into 50 bins, for fitting RW2 models
awstringer1/casecrossover documentation built on March 11, 2021, 4:41 a.m.
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Description
These data were simulated from a multinomial distribution of the form described in the case crossover paper, with true additive predictor eta = 3 *(exposure^2 - .5^2). It is good for testing the fitting of case crossover models and learning the API for prior specification and linear constraints.
Usage
1 |
Format
A tibble with 3,596 rows and 6 columns:
- exposure
The covariate used for the simulations
- eta
The true value of the additive predictor, for comparison
- prob
The corresponding true probability of case == 1
- subject
Subject id, to be used as the strata variable
- exposure_binned
The exposure covariate binned into 50 bins, for fitting RW2 models
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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