tomogplot {MCMCpack} | R Documentation |
Tomography Plot
Description
tomogplot is used to produce a tomography plot (see King, 1997) for a series of partially observed 2 x 2 contingency tables.
Usage
tomogplot(
r0,
r1,
c0,
c1,
xlab = "fraction of r0 in c0 (p0)",
ylab = "fraction of r1 in c0 (p1)",
bgcol = "white",
...
)
Arguments
r0 |
An |
r1 |
An |
c0 |
An |
c1 |
An |
xlab |
The x axis label for the plot. |
ylab |
The y axis label for the plot. |
bgcol |
The background color for the plot. |
... |
further arguments to be passed |
Details
Consider the following partially observed 2 by 2 contingency table:
| Y=0 | | Y=1 | | | |
--------- | --------- | --------- | --------- |
X=0 | | Y_0 | | | | r_0 |
--------- | --------- | --------- | --------- |
X=1 | | Y_1 | | | | r_1 |
--------- | --------- | --------- | --------- |
| c_0 | | c_1 | | N
|
where r_0
, r_1
, c_0
, c_1
, and N
are
non-negative integers that are observed. The interior cell entries
are not observed. It is assumed that Y_0|r_0 \sim
\mathcal{B}inomial(r_0, p_0)
and Y_1|r_1 \sim
\mathcal{B}inomial(r_1, p_1)
.
This function plots the bounds on the maximum likelihood estimatess for (p0, p1).
References
Gary King, 1997. A Solution to the Ecological Inference Problem. Princeton: Princeton University Press.
Jonathan C. Wakefield. 2004. “Ecological Inference for 2 x 2 Tables.” Journal of the Royal Statistical Society, Series A. 167(3): 385445.
See Also
MCMChierEI
, MCMCdynamicEI
,
dtomogplot
Examples
r0 <- rpois(100, 500)
r1 <- rpois(100, 200)
c0 <- rpois(100, 100)
c1 <- (r0 + r1) - c0
tomogplot(r0, r1, c0, c1)