predict.sbm {sbd}

Predict estimates

Description

Generates predicted underlying averages from a size biased model, given a set of covariates if these are used in the model.

Usage

## S3 method for class 'sbm'
predict(object, newdata = NULL, reps = 999, ...)

Arguments

object

A size biased model fit of class sbm.

newdata

A dataframe of covariate values with fields matching covariates used in object.

reps

Integer giving the number of random draws for variance estimation.

...

Additional arguments (unused).

Details

When newdata is missing, make_table is used to generate a dataframe of covariates at which to predict, based on the model formula and covariate data.

Value

A dataframe of predictions with fields est (estimated average), se (estimated standard error), and lcl, ucl (lower and upper 95 percent confidence limits).

Examples

  data(BCI_speed_data)
  agoutiData <- subset(BCI_speed_data, species=="agouti")
  lmod_mass <- sbm(speed~mass, agoutiData, pdf="lnorm")
  nd <- data.frame(mass = c(1, 10, 100))
  predict(lmod_mass, nd)