zibppca: Principal component analysis for Zero-inflated Bivariate...
In khellton/zibppca:
Description
This function preforms principal component analysis for pair-wise
Zero-inflated Bivariate Poisson distributed variables.
Usage
1
Arguments
data
a data frame, providing the data for the principal components analysis
scale.
a logical value, indicating whether the variables should be scaled to have unit variance before the analysis takes place. The default is FALSE.
maxit
a scalar, number of maximum iterations
pres
a scalar, the precision of the EM algorithm
khellton/zibppca documentation built on May 28, 2019, 8:39 a.m.
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Description
This function preforms principal component analysis for pair-wise Zero-inflated Bivariate Poisson distributed variables.
Usage
1 |
Arguments
data |
a data frame, providing the data for the principal components analysis |
scale. |
a logical value, indicating whether the variables should be scaled to have unit variance before the analysis takes place. The default is FALSE. |
maxit |
a scalar, number of maximum iterations |
pres |
a scalar, the precision of the EM algorithm |
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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