Pinned Loading
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GLM with robust weights and standard...
GLM with robust weights and standard errors. Functions to tidy the results. 1get_response <- function(formula) {
2if (class(formula) != "formula") {
3stop("Not formula object")
4}
5all.vars(formula[[length(formula) - 1]])
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get data frame of proportion of clus...
get data frame of proportion of clusters per id and supercluster 1summarize_by_group <- function(data, group, columns = NULL) {
2#' Summarize data by group
3#'
4#' This function aggregates data by group and summarizes specified columns.
5#'
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consensus_scHPF_wrapper
consensus_scHPF_wrapper PublicForked from simslab/consensus_scHPF_wrapper
Python
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