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#' Theoretical Degree Distribution Check
#'
#' Computes theoretical degree distributions for CCMnet.
#'
#' @param fit CCM_fit object
#' @param n_sim Number of theoretical samples
#'
#' @return Updated fit object with theoretical degree distribution
#' @noRd
CCM_theoretical_check_degree <- function(fit,
n_sim) {
if (fit$prob_distr[[1]] == "multinomial_poisson") {
fit$population <- ncol(fit$mcmc_stats)
theoretical_pmf <- fit$prob_distr_params[[2]]
degrees.df <- t(rmultinom(n_sim, fit$population, prob = theoretical_pmf))
} else if (fit$prob_distr[[1]] == "dirmult") {
degrees.df = matrix(NA, nrow = n_sim, ncol = length(fit$prob_distr_params[[1]][[1]]))
for (i in c(1:n_sim)) {
degrees.df[i,] <- rmultinom(1, fit$population, prob = rdirichlet(1, alpha = fit$prob_distr_params[[1]][[1]]))
}
} else {
warning("Theoretical distribution not currently implemented. Returning NULL.")
fit$theoretical <- list(
theory_stats = NULL,
type = "Degree"
)
return(fit)
}
# Convert to data.frame and store in fit$theoretical
df <- as.data.frame(degrees.df)
colnames(df) <- paste0("deg", 0:(ncol(df)-1))
fit$theoretical <- list(
theory_stats = df,
type = "Degree"
)
return(fit)
}
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