binom_bayes: Bayesian analysis of one-sample binomial data using conjugate...

In pbreheny/breheny: Miscellaneous Functions

Bayesian analysis of one-sample binomial data using conjugate beta priors

Description

Bayesian analysis of one-sample binomial data using conjugate beta priors

Usage

binom_bayes(
  x,
  n,
  a = 1,
  b = 1,
  level = 0.95,
  null,
  plot = FALSE,
  add = FALSE,
  xlab = "p",
  ylab = "Posterior density",
  col = "blue",
  ...
)

Arguments

x	Number of "successes"
n	Number of trials
a	'alpha' parameter for beta prior. Default: uniform prior
b	'beta' parameter for beta prior. Default: uniform prior
level	For posterior interval; .95 for a 95% credible interval
null	Point null to evaluate as a kind of hypothesis test
plot	Draw a plot? Default: false
add	Add to existing plot? Default: false
xlab	xlab for plot
ylab	ylab for plot
col	color of density line for plot
...	Additional arguments to plot()

Examples

binom_bayes(10, 16)
binom_bayes(0, 21, plot=TRUE)

pbreheny/breheny documentation built on April 26, 2024, 10:40 a.m.