ex_poisson: Simulated example data with count outcome, modelled using...
In smcfcs: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
ex_poisson R Documentation
Simulated example data with count outcome, modelled using Poisson regression
Description
A dataset containing simulated data where the count outcome depends on two
covariates, x and z, with missing values in x. The substantive model is
Poisson regression.
Usage
ex_poisson
Format
A data frame with 1000 rows and 3 variables:
- y
Count outcome
- z
Fully observed covariate, with linear effect on outcome
- x
Partially observed normally distributed covariate, with linear effect on outcome
smcfcs documentation built on Nov. 10, 2022, 6:18 p.m.
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| ex_poisson | R Documentation |
Simulated example data with count outcome, modelled using Poisson regression
Description
A dataset containing simulated data where the count outcome depends on two covariates, x and z, with missing values in x. The substantive model is Poisson regression.
Usage
ex_poisson
Format
A data frame with 1000 rows and 3 variables:
- y
Count outcome
- z
Fully observed covariate, with linear effect on outcome
- x
Partially observed normally distributed covariate, with linear effect on outcome
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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