bind_rows().add_model() including
effect sizes, standardised betas and adjusted p valuesagree_tab()report_counts()
generates heatmaps (tiles-parameter) and npmi values
(method-parameter).options(vlkr.na.omit=FALSE) (pairwise instead of listwise
handling of missings)model_metrics_tab() and
model_metrics_plot() provide a first draft of lm
analysis
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.