CIsim | R Documentation |
This function automates the calculation of coverage rates for exploring the robustness of confidence interval methods.
CIsim(
n,
samples = 100,
rdist = rnorm,
args = list(),
plot = if (samples <= 200) "draw" else "none",
estimand = 0,
conf.level = 0.95,
method = t.test,
method.args = list(),
interval = function(x) {
do.call(method, c(list(x, conf.level = conf.level),
method.args))$conf.int
},
estimate = function(x) {
do.call(method, c(list(x, conf.level = conf.level),
method.args))$estimate
},
verbose = TRUE
)
n |
size of each sample |
samples |
number of samples to simulate |
rdist |
function used to draw random samples |
args |
arguments required by |
plot |
one of |
estimand |
true value of the parameter being estimated |
conf.level |
confidence level for intervals |
method |
function used to compute intervals. Standard functions that
produce an object of class |
method.args |
arguments required by |
interval |
a function that computes a confidence interval from data. Function should return a vector of length 2. |
estimate |
a function that computes an estimate from data |
verbose |
print summary to screen? |
A data frame with variables
lower
,
upper
,
estimate
,
cover
('Yes' or 'No'),
and
sample
is returned invisibly. See the examples for a way to use this to display the intervals
graphically.
# 1000 95% intervals using t.test; population is N(0,1)
CIsim(n = 10, samples = 1000)
# this time population is Exp(1); fewer samples, so we get a plot
CIsim(n = 10, samples = 100, rdist = rexp, estimand = 1)
# Binomial treats 1 like success, 0 like failure
CIsim(n = 30, samples = 100, rdist = rbinom, args = list(size = 1, prob = .7),
estimand = .7, method = binom.test, method.args = list(ci = "Plus4"))
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