test_data_weights: Mock data set to test density estimation with weights
In osofr/condensier: Non-Parametric Conditional Density Estimation
Description
A completely artificial data set from a simulation study designed to test the
functionality of the argument "weights" in the function "fit_density", as
implemented in pull request #12 to https://github.com/osofr/condensier
Usage
1
Format
A data.frame with 30,000 rows and 4 columns, including some
observations marked with NA for missing data:
- W1
A binary covariate with a multiplicative effect on the mean of
the treatment. This background covariate does _not_ impact the censoring
mechanism.
- W2
A binary covariate with a multiplicative effect on the mean of
the treatment. This background covariates directly affects the censoring
mechanism.
- DeltaA
A continuous value, the realization of an observation from a
Gaussian distribution, with censored observations marked with NA.
- IPCW
A _true_ inverse probability of censoring weight computed from
the censoring mechanism used to induce missingness in the data.
osofr/condensier documentation built on May 8, 2019, 11:14 p.m.
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Description
A completely artificial data set from a simulation study designed to test the functionality of the argument "weights" in the function "fit_density", as implemented in pull request #12 to https://github.com/osofr/condensier
Usage
1 |
Format
A data.frame with 30,000 rows and 4 columns, including some
observations marked with NA for missing data:
- W1
A binary covariate with a multiplicative effect on the mean of the treatment. This background covariate does _not_ impact the censoring mechanism.
- W2
A binary covariate with a multiplicative effect on the mean of the treatment. This background covariates directly affects the censoring mechanism.
- DeltaA
A continuous value, the realization of an observation from a Gaussian distribution, with censored observations marked with
NA.- IPCW
A _true_ inverse probability of censoring weight computed from the censoring mechanism used to induce missingness in the data.
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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