predict: Predict data

In khelmsmith/flm_NE_WNV: Functional Linear Modeling For Vector-borne Disease

Predict data

Description

Predict data

Usage

cross_validate(fittedModel, allLagsT, fillzeros, allunits, nsim)

predict_noYr(fittedModel, allLagsT, allLagsO, fillzeros, allunits, nsim)

predict_wYr(fittedModel, allLagsT, allLagsO, fillzeros, allunits, nsim)

Arguments

fittedModel	Model to predict from
allLagsT	The assembled data set to use for training
fillzeros	Logical. If TRUE fill in with zeros counties that have no cases ever.
allunits	Character. Vector of county names in complete data set. Used when fillzeros == TRUE
nsim	Integer. Number of samples to draw from posterior distribution. Defaults to zero, which has the expected value of cases in predcases.
allLagsO	The assembled data set to use for out-of-sample prediction

Functions

• cross_validate: Generate leave-one-year-out cross-validated predictions from in-sample data

• predict_noYr: Predict without year in model

• predict_wYr: Predict from models including year

khelmsmith/flm_NE_WNV documentation built on June 24, 2022, 11:13 p.m.