long_covid: DisC2o simulated data
In pda: Privacy-Preserving Distributed Algorithms
long_covid R Documentation
DisC2o simulated data
Description
A simulated long-covid data set for Distributed causal inference with covariates shift (DisC2o). This only contains 5 covariates and more noisy covariates can be added when running demo example.
Usage
long_covid
Format
A data frame with 900 rows and 53 variables:
- PASC_features
number of Post Acute Sequelae of COVID (PASC, or long covid) features
- covid_vaccination
treatment of covid vaccination, 1=vaccinated
- site
site id, 300 participants each for 'site1', 'site2', and 'site3'
- X1
a binary covariate
- X2
a binary covariate
- X3
a continuous covariate
- X4
a continuous covariate
- X5
a continuous covariate
pda documentation built on Nov. 18, 2025, 1:07 a.m.
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| long_covid | R Documentation |
DisC2o simulated data
Description
A simulated long-covid data set for Distributed causal inference with covariates shift (DisC2o). This only contains 5 covariates and more noisy covariates can be added when running demo example.
Usage
long_covid
Format
A data frame with 900 rows and 53 variables:
- PASC_features
number of Post Acute Sequelae of COVID (PASC, or long covid) features
- covid_vaccination
treatment of covid vaccination, 1=vaccinated
- site
site id, 300 participants each for 'site1', 'site2', and 'site3'
- X1
a binary covariate
- X2
a binary covariate
- X3
a continuous covariate
- X4
a continuous covariate
- X5
a continuous covariate
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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