dt_: Non-standard student-t density
In konkam/BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
dt_ R Documentation
Non-standard student-t density
Description
Computes the density.
Usage
dt_(x, df, mean, sd)
Arguments
x
Numeric vector. Data set to which the density is evaluated.
df
Numeric constant. Degrees of freedom (> 0, maybe non-integer)
mean
Numeric constant. Location parameter.
sd
Positive numeric constant. Scale parameter.
## The function is currently defined as
function(x, df, mean, sd)
dt((x - mean) / sd, df, ncp = 0) / sd
Details
For internal use
konkam/BNPdensity documentation built on March 14, 2024, 7:15 a.m.
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| dt_ | R Documentation |
Non-standard student-t density
Description
Computes the density.
Usage
dt_(x, df, mean, sd)
Arguments
x |
Numeric vector. Data set to which the density is evaluated. |
df |
Numeric constant. Degrees of freedom (> 0, maybe non-integer) |
mean |
Numeric constant. Location parameter. |
sd |
Positive numeric constant. Scale parameter. ## The function is currently defined as function(x, df, mean, sd) dt((x - mean) / sd, df, ncp = 0) / sd |
Details
For internal use
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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