sim_X: Simulate initial X values
In rje42/causl: Methods for Specifying, Simulating from and Fitting Causal Models
View source: R/sim_rejection.R
sim_X R Documentation
Simulate initial X values
Description
Simulate initial X values
Usage
sim_X(n, fam_x, theta, offset, sim = TRUE)
Arguments
n
number of observations
fam_x
number for distribution family
theta
parameters for model
offset
optional mean correction
sim
should variables be simulated?
Details
Returns a list that includes a data frame containing a column
x, as well as the density that was used to generate it. Possible
families are Gaussian (=1), t (=2), Exponential (=3), beta (=4)
Bernoulli/categorical (=5) and log-normal (=6).
For the exponential distribution, theta is the mean.
Beta can take one or two parameters, and if there is only
one it is just repeated.
The offset parameter alters the median for the normal and t-distributions,
or the median of the logarithm in the case of a log-normal.
Value
A list with two entries: x a vector of the simulated
values, and qden, which contains a function that evaluates to the
density of the distribution used to generate those values.
rje42/causl documentation built on June 1, 2025, 2:50 p.m.
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View source: R/sim_rejection.R
| sim_X | R Documentation |
Simulate initial X values
Description
Simulate initial X values
Usage
sim_X(n, fam_x, theta, offset, sim = TRUE)
Arguments
n |
number of observations |
fam_x |
number for distribution family |
theta |
parameters for model |
offset |
optional mean correction |
sim |
should variables be simulated? |
Details
Returns a list that includes a data frame containing a column
x, as well as the density that was used to generate it. Possible
families are Gaussian (=1), t (=2), Exponential (=3), beta (=4)
Bernoulli/categorical (=5) and log-normal (=6).
For the exponential distribution, theta is the mean.
Beta can take one or two parameters, and if there is only
one it is just repeated.
The offset parameter alters the median for the normal and t-distributions,
or the median of the logarithm in the case of a log-normal.
Value
A list with two entries: x a vector of the simulated
values, and qden, which contains a function that evaluates to the
density of the distribution used to generate those values.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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