Usage
analyze2x2(C00, C01, C10, C11, a00, a01, a10, a11, b00, b01, b10, b11, c00, c01, c10, c11, nsamp = 50000)
Arguments
C00
The number of observations in $(X=0,
Y=0)$ cell of the table. In other words, the number of observations
that received control and failed.
C01
The number of observations in $(X=0,
Y=1)$ cell of the table. In other words, the number of observations
that received control and succeeded.
C10
The number of observations in $(X=1,
Y=0)$ cell of the table. In other words, the number of observations
that received treatment and failed.
C11
The number of observations in $(X=1,
Y=1)$ cell of the table. In other words, the number of observations
that received treatment and succeeded.
a00
One of four parameters (with a01
, a10
, and
a11
governing the Dirichlet prior for $theta$
(the joint probabilities of $X$ and $Y$). This prior has the
effect of adding a00
- 1 observations to the $(X=0, Y=0)$
cell of the table.
a01
One of four parameters (with a00
, a10
, and
a11
governing the Dirichlet prior for $theta$
(the joint probabilities of $X$ and $Y$). This prior has the
effect of adding a01
- 1 observations to the $(X=0, Y=1)$
cell of the table.
a10
One of four parameters (with a00
, a01
, and
a11
governing the Dirichlet prior for $theta$
(the joint probabilities of $X$ and $Y$). This prior has the
effect of adding a10
- 1 observations to the $(X=1, Y=0)$
cell of the table.
a11
One of four parameters (with a00
, a01
, and
a10
governing the Dirichlet prior for $theta$
(the joint probabilities of $X$ and $Y$). This prior has the
effect of adding a11
- 1 observations to the $(X=1, Y=1)$
cell of the table.
b00
One of two parameters (with c00
) governing the
beta prior for the distribution of potential outcome types within
the $(X=0, Y=0)$ cell of the table. This prior adds the same
information as would be gained from observing b00
- 1 Helped
units in the $(X=0, Y=0)$ cell of the table.
b01
One of two parameters (with c01
) governing the
beta prior for the distribution of potential outcome types within
the $(X=0, Y=1)$ cell of the table. This prior adds the same
information as would be gained from observing b01
- 1 Always Succeed
units in the $(X=0, Y=1)$ cell of the table.
b10
One of two parameters (with c10
) governing the
beta prior for the distribution of potential outcome types within
the $(X=1, Y=0)$ cell of the table. This prior adds the same
information as would be gained from observing b10
- 1 Hurt
units in the $(X=1, Y=0)$ cell of the table.
b11
One of two parameters (with c11
) governing the
beta prior for the distribution of potential outcome types within
the $(X=1, Y=1)$ cell of the table. This prior adds the same
information as would be gained from observing b11
- 1 Always Succeed
units in the $(X=1, Y=1)$ cell of the table.
c00
One of two parameters (with b00
) governing the
beta prior for the distribution of potential outcome types within
the $(X=0, Y=0)$ cell of the table. This prior adds the same
information as would be gained from observing b00
- 1 Never Succeed
units in the $(X=0, Y=0)$ cell of the table.
c01
One of two parameters (with b01
) governing the
beta prior for the distribution of potential outcome types within
the $(X=0, Y=1)$ cell of the table. This prior adds the same
information as would be gained from observing c01
- 1 Hurt
units in the $(X=0, Y=1)$ cell of the table.
c10
One of two parameters (with b10
) governing the
beta prior for the distribution of potential outcome types within
the $(X=1, Y=0)$ cell of the table. This prior adds the same
information as would be gained from observing c10
- 1 Never Succeed
units in the $(X=1, Y=0)$ cell of the table.
c11
One of two parameters (with b11
) governing the
beta prior for the distribution of potential outcome types within
the $(X=1, Y=1)$ cell of the table. This prior adds the same
information as would be gained from observing b11
- 1 Helped
units in the $(X=1, Y=1)$ cell of the table.
nsamp
Size of the Monte Carlo sample used to summarize the posterior.