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NEWS.md
In autoMrP: Improving MrP with Ensemble Learning
autoMrP 0.93
- block sampling in bootstrapping instead of state-stratified sampling
autoMrP 0.91
- bootstrapping returns GB prediction
- predictions do not fail if census data contains more factor levels than training data for SVM and Lasso
- svm post-stratification uses the user-specified formula instead of all information
- lasso post-stratification uses correct user-specified context level variables if L2.x and lasso.L2.x differ
- parallel processing loops are replicable now
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autoMrP documentation built on Aug. 17, 2023, 5:07 p.m.
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autoMrP 0.93
- block sampling in bootstrapping instead of state-stratified sampling
autoMrP 0.91
- bootstrapping returns GB prediction
- predictions do not fail if census data contains more factor levels than training data for SVM and Lasso
- svm post-stratification uses the user-specified formula instead of all information
- lasso post-stratification uses correct user-specified context level variables if L2.x and lasso.L2.x differ
- parallel processing loops are replicable now
Try the autoMrP package in your browser
Any scripts or data that you put into this service are public.
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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