iterGlmCV {mseq} | R Documentation |
Get the cross-validation R squared for iterative glm.
iterGlmCV(data, fold = 5, seed = 281142, thrd = 0.01, max_iter = 10)
data |
the data frame generated by expData.R |
fold |
number of folds of CV |
seed |
seed to generate training indexes |
thrd |
threshold for R squared increase in iterative glm |
max_iter |
maximum times of iterations in iterative glm |
the CV R squared, a numeric value
# read and expand the data data(g1_part) # for real data, please use read.csv, like g1 <- read.csv("g1.csv") data <- expData(g1_part, 2, 3) # In real datasets, surrounding sequences should be set longer. # get the CV R squared for Poisson linear model R_sq <- iterGlmCV(data)