dt_wrap: Wrapper for dt with a non-zero mean and non-1 scale...
In dcgerard/vicar: Various Ideas for Confounder Adjustment in Regression
Description
Wrapper for dt with a non-zero mean and non-1 scale parameter.
Usage
1
Arguments
x
A numeric. Where to evaluate the density function.
df
A positive numeric. The degrees of freedom.
mean
A numeric. The mean of the t. Defaults to 0.
sd
A positive numeric. The standard deviation of the
t. Defaults to 1.
log
A logical. Should we return the log-density
(TRUE) or the density (FALSE)?
dcgerard/vicar documentation built on July 7, 2021, 1:08 p.m.
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Description
Wrapper for dt with a non-zero mean and non-1 scale parameter.
Usage
1 |
Arguments
x |
A numeric. Where to evaluate the density function. |
df |
A positive numeric. The degrees of freedom. |
mean |
A numeric. The mean of the t. Defaults to 0. |
sd |
A positive numeric. The standard deviation of the t. Defaults to 1. |
log |
A logical. Should we return the log-density
( |
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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