predict.relvms: Multiple Group score

In huangrh/relvm: Random Effect Laten Variable Model For Hospital Compare

Description

Predict the group scores (random effect latent variabl) from the extimated parameters

Usage

## S3 method for class 'relvms'
predict(x, newpars = NULL, newdata = NULL, level = 0.95)

Arguments

x	An object, whose class attribute is "relvms", i.e. multiple group of relvm. see also relvm function.
newpars	The matrix of modified parameters (factor loadings, etc.).
newdata	The new data table. this table include standardized measure score and measure weight. See example below.
level	The level of confident interval. This parameter may not be used any more.

Value

A updated object.

Examples

# predict with new parameters
fit  <- relvm(mstbl(rstarating::cms_star_rating_input_2017dec))
pred <- predict(fit,newpars=fit$groups$pars) # update the newpars.
star <- rating(x=pred$groups$summary_score,method="rclus2",score_col="sum_score",iter.max=5000)

# predict with new data
newdata = list(mstbl_std = fit17$groups$mstbl_std, wtbl = fit17$groups$wtbl)
pred_newdata <- predict(fit,newdata=newdata) # update the newpars.

huangrh/relvm documentation built on May 17, 2019, 9:10 p.m.