plot.lm.ma: Plot an 'lm.ma' Object

In JeffreyRacine/R-Package-ma: Model Averaging

Description

Plots a model average model and its derivatives.

Usage

## S3 method for class 'lm.ma'
plot(x,
     plot.B = 99,
     plot.ci = FALSE,
     plot.data = FALSE,
     plot.deriv = FALSE,
     plot.num.eval = 250,
     plot.rug = FALSE,
     plot.xtrim = 0.005,
     ...)

Arguments

x	an object of type lm.ma
plot.B	number of bootstrap replications used to construct nonparametric confidence intervals
plot.ci	a logical value indicating whether to plot nonparametric confidence intervals or not
plot.data	a logical value indicating whether to plot the data or not
plot.deriv	a logical value indicating whether to compute derivatives or not
plot.num.eval	number of evaluation points
plot.rug	a logical value indicating whether to plot the data with a rug or not
plot.xtrim	trimming parameter used to exclude tail values for the predictors that can obscure main features in the plot (trims the proportion plot.xtrim from each tail)
...	optional arguments to be passed to plot

Details

This function plots an object returned by lm.ma. Typical usages are

    plot(model)
    plot(model,plot.data=TRUE)
    plot(model,plot.ci=TRUE,plot.B=99)    
    plot(model,plot.data=TRUE,plot.ci=TRUE,plot.B=199)
    plot(model,plot.deriv=TRUE)    
    plot(model,plot.deriv=TRUE,plot.ci=TRUE,plot.B=399)        
  

Value

None.

Author(s)

Jeffrey S. Racine

References

Racine, J.S. and D. Zhang and Q. Li (2017), “Model Averaged Categorical Regression Splines.”

Examples

data(cps71)
model <- lm.ma(logwage~age,data=cps71)
plot(model,plot.data=TRUE,plot.ci=TRUE)

JeffreyRacine/R-Package-ma documentation built on May 7, 2019, 10:35 a.m.