dimarLearnPattern: dimarLearnPattern
In kreutz-lab/DIMAR: Data-driven selection of an imputation algorithm in R
View source: R/dimarLearnPattern.R
dimarLearnPattern R Documentation
dimarLearnPattern
Description
Learns missing value occurence pattern from quantitative matrix by a logistic regression model
Usage
dimarLearnPattern(mtx)
Arguments
mtx
Quantitative matrix
Value
Logistic regression coefficients describing missing value pattern
Examples
#' mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
coef <- dimarLearnPattern(mtx)
kreutz-lab/DIMAR documentation built on Aug. 19, 2024, 11:07 a.m.
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View source: R/dimarLearnPattern.R
| dimarLearnPattern | R Documentation |
dimarLearnPattern
Description
Learns missing value occurence pattern from quantitative matrix by a logistic regression model
Usage
dimarLearnPattern(mtx)
Arguments
mtx |
Quantitative matrix |
Value
Logistic regression coefficients describing missing value pattern
Examples
#' mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
coef <- dimarLearnPattern(mtx)
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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