cdfplot: Plot distribution of CDF

In OakleyJ/SHELF: Tools to Support the Sheffield Elicitation Framework

Plot distribution of CDF

Description

Plot the elicited pointwise median and credible interval for an uncertain population CDF

Usage

cdfplot(
  medianfit,
  precisionfit,
  lower = NA,
  upper = NA,
  ql = 0.025,
  qu = 0.975,
  median.dist = "best",
  precision.dist = "gamma",
  n.rep = 10000,
  n.X = 100,
  fontsize = 18
)

Arguments

medianfit	The output of a fitdist command following elicitation of the expert's beliefs about the population median.
precisionfit	The output of a fitdist command following elicitation of the expert's beliefs about the population precision.
lower	lower limit on the x-axis for plotting.
upper	upper limit on the x-axis for plotting.
ql	lower quantile for the plotted pointwise credible interval.
qu	upper quantile for the plotted pointwise credible interval.
median.dist	The fitted distribution for the population median. Can be one of "normal", "lognormal" or "best", where "best" will select the best fitting out of normal and lognormal.
precision.dist	The fitted distribution for the population precision. Can either be "gamma" or "lognormal".
n.rep	The number of randomly sampled CDFs used to estimated the median and credible interval.
n.X	The number of points on the x-axis at which the CDF is evaluated.
fontsize	Font size used in the plots.

Examples

## Not run: 
prfit <- fitprecision(interval = c(60, 70), propvals = c(0.2, 0.4), trans = "log")
medianfit <- fitdist(vals = c(50, 60, 70), probs = c(0.05, 0.5,  0.95), lower = 0)
cdfplot(medianfit, prfit)
 
## End(Not run)

OakleyJ/SHELF documentation built on March 17, 2024, 8:13 p.m.