pdexp: pdexp
In bliss: Bayesian Functional Linear Regression with Sparse Step Functions
View source: R/basic_functions.R
pdexp R Documentation
pdexp
Description
Probability function of a discretized Exponentiel distribution.
Usage
pdexp(a, l_values)
Arguments
a
a positive value, the mean of the Exponential prior.
l_values
a numerical value, the discrete support of the parameter l.
Value
a numerical vector, which is the prability function on l_values.
Examples
pdexp(10,seq(0,1,1))
x <- seq(0,10,le=1e3)
plot(x,dexp(x,0.5),lty=2,type="l")
lines(pdexp(0.5,1:10),type="p")
bliss documentation built on March 18, 2022, 5:46 p.m.
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View source: R/basic_functions.R
| pdexp | R Documentation |
pdexp
Description
Probability function of a discretized Exponentiel distribution.
Usage
pdexp(a, l_values)
Arguments
a |
a positive value, the mean of the Exponential prior. |
l_values |
a numerical value, the discrete support of the parameter l. |
Value
a numerical vector, which is the prability function on l_values.
Examples
pdexp(10,seq(0,1,1)) x <- seq(0,10,le=1e3) plot(x,dexp(x,0.5),lty=2,type="l") lines(pdexp(0.5,1:10),type="p")
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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