loglk: Profile log-likelihood of the PPCA model with sample...
In WeiAkaneDeng/SPAC2: Statistical and Probabilistic Algorithms for Classification and Clustering
Description
Usage
Arguments
Value
View source: R/PPCA_profile_log_likelihood.R
Description
The function returns the profile log-likelihood
of the PPCA model for each possible choice of
K (1, 2, …, n-1) at their respective MLEs.
The maximum choice was set at n-1 because when K=n,
the profile log-likelihood is equal to that at K=n-1.
Usage
1
loglk(lam, n, tau = 1e-05)
Arguments
lam
a numerical vector of positive sample eigenvalues
n
the full dimension
tau
a tolerance threshold for the smallest eigenvalue, the default value is 0.001.
Value
profile log-likelihood of length n-1.
WeiAkaneDeng/SPAC2 documentation built on Jan. 15, 2022, 5:01 a.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.
Description Usage Arguments Value
View source: R/PPCA_profile_log_likelihood.R
Description
The function returns the profile log-likelihood of the PPCA model for each possible choice of K (1, 2, …, n-1) at their respective MLEs. The maximum choice was set at n-1 because when K=n, the profile log-likelihood is equal to that at K=n-1.
Usage
1 | loglk(lam, n, tau = 1e-05)
|
Arguments
lam |
a numerical vector of positive sample eigenvalues |
n |
the full dimension |
tau |
a tolerance threshold for the smallest eigenvalue, the default value is 0.001. |
Value
profile log-likelihood of length n-1.
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.