sds_c: Standard deviations for mlpca_c model
In RMLPCA: Maximum Likelihood Principal Component Analysis
Description
Usage
Format
References
Description
A dataset where each value come from a lognormal density with meanlog = -4.75
and sdlog = 2.5.
The main ideia is described in figure 3 on Wentzell, P. D.
"Other topics in soft-modeling: maximum likelihood-based soft-modeling
methods." (2009): 507-558.
Usage
1
Format
A matrix with 300 rows and 20 columns
References
Wentzell, P. D. "Other topics in soft-modeling:
maximum likelihood-based soft-modeling methods." (2009): 507-558.
RMLPCA documentation built on Jan. 13, 2021, 9:40 a.m.
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Description Usage Format References
Description
A dataset where each value come from a lognormal density with meanlog = -4.75 and sdlog = 2.5. The main ideia is described in figure 3 on Wentzell, P. D. "Other topics in soft-modeling: maximum likelihood-based soft-modeling methods." (2009): 507-558.
Usage
1 |
Format
A matrix with 300 rows and 20 columns
References
Wentzell, P. D. "Other topics in soft-modeling: maximum likelihood-based soft-modeling methods." (2009): 507-558.
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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