try.R
In itamarfaran/corrpops: Analysis of populations of correlation matrices
library(corrpops)
data('tga_arrays')
dim_subset <- 1:18
control_subset <- tga_arrays$control[dim_subset, dim_subset, ]
diagnosed_subset <- tga_arrays$diagnosed[dim_subset, dim_subset, ]
test_corr_mat(control_subset)
test_corr_mat(diagnosed_subset)
results <- estimate_model(
control_arr = control_subset,
diagnosed_arr = diagnosed_subset,
bias_correction = TRUE)
compute_gee_variance(results, control_subset, diagnosed_subset)
itamarfaran/corrpops documentation built on Dec. 20, 2021, 8:02 p.m.
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library(corrpops)
data('tga_arrays')
dim_subset <- 1:18
control_subset <- tga_arrays$control[dim_subset, dim_subset, ]
diagnosed_subset <- tga_arrays$diagnosed[dim_subset, dim_subset, ]
test_corr_mat(control_subset)
test_corr_mat(diagnosed_subset)
results <- estimate_model(
control_arr = control_subset,
diagnosed_arr = diagnosed_subset,
bias_correction = TRUE)
compute_gee_variance(results, control_subset, diagnosed_subset)
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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