PlotPriorFits: Plot of exposure-response function from univariate KMR fit

In bkmr: Bayesian Kernel Machine Regression

Plot of exposure-response function from univariate KMR fit

Description

Plot the estimated h(z[m]) estimated from frequentist KMR for r[m] fixed to specific values

Usage

PlotPriorFits(
  y,
  X,
  Z,
  fits,
  which.z = NULL,
  which.q = NULL,
  plot.resid = TRUE,
  ylim = NULL,
  ...
)

Arguments

y	a vector of outcome data of length n.
X	an n-by-K matrix of covariate data where each row represents an observation and each column represents a covariate. Should not contain an intercept column.
Z	an n-by-M matrix of predictor variables to be included in the h function. Each row represents an observation and each column represents an predictor.
fits	output from InvestigatePrior
which.z	which predictors (columns in Z) to plot
which.q	which q.values to plot; defaults to all possible
plot.resid	whether to plot the data points
ylim	plotting limits for the y-axis
...	other plotting arguments

Value

No return value, generates plot

Examples

## First generate dataset
set.seed(111)
dat <- SimData(n = 50, M = 4)
y <- dat$y
Z <- dat$Z
X <- dat$X

priorfits <- InvestigatePrior(y = y, Z = Z, X = X, q.seq = c(2, 1/2, 1/4, 1/16))
PlotPriorFits(y = y, Z = Z, X = X, fits = priorfits)

bkmr documentation built on March 28, 2022, 9:11 a.m.