exp_p1_ldda: The second derivative of the normalized log-likelihood
In fitdistcp: Distribution Fitting with Calibrating Priors for Commonly Used Distributions
View source: R/55c_exp_p1_derivs.R
exp_p1_ldda R Documentation
The second derivative of the normalized log-likelihood
Description
The second derivative of the normalized log-likelihood
Usage
exp_p1_ldda(x, t, v1, v2)
Arguments
x
a vector of training data values
t
a vector or matrix of predictors
v1
first parameter
v2
second parameter
Value
Matrix
fitdistcp documentation built on June 8, 2025, 1:04 p.m.
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.
View source: R/55c_exp_p1_derivs.R
| exp_p1_ldda | R Documentation |
The second derivative of the normalized log-likelihood
Description
The second derivative of the normalized log-likelihood
Usage
exp_p1_ldda(x, t, v1, v2)
Arguments
x |
a vector of training data values |
t |
a vector or matrix of predictors |
v1 |
first parameter |
v2 |
second parameter |
Value
Matrix
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.