| Name : R-mipred
| |
| Version : 0.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.9.12
| Date : 2024-06-14 12:15:34
|
| Group : Development/Libraries/Other
| Source RPM : R-mipred-0.0.1-lp153.9.12.src.rpm
|
| Size : 1.28 MB
| |
| Packager : (none)
| |
| Summary : Prediction using Multiple Imputation
|
Description :
Calibration of generalized linear models and Cox regression models for
prediction using multiple imputation to account for missing values in
the predictors as described in the paper by \"Mertens, Banzato and de
Wreede\" (2018) < arXiv:1810.05099>. The methodology and calculations
described in this paper are fully implemented in this package. The
vignette describes all data analytic steps which allow users to
replicate results using the package functions on the data analyzed in
the paper or on their own data. Imputations are generated using the
package \'mice\' without using the outcomes of observations for which the
predictions are generated. Two options are provided to generate
predictions. The first is prediction-averaging of predictions
calibrated from single models fitted on single imputed datasets within
a set of multiple imputations. The second is application of the Rubin\'s
rules pooled model. For both implementations, unobserved values in the
predictor data of new observations for which the predictions are
derived are automatically imputed. The package contains two basic
functions. The first, mipred() generates predictions of outcome on new
observations. The second, mipred.cv() generates cross-validated
predictions with the methodology on existing data for which outcomes
have already been observed. The present version is still in development
and should support continuous, binary and counting outcomes, but we
have only thoroughly checked performance for binary outcome logistic
regression modeling. We will include the Cox regression extension
later.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
