CS599GMM.DA is a comprehensive package designed for my class in CS599.The package will provide a range of functions for the Guassian Mixture Models(GMM) and other related tasks. This will aid users in performing various operations such as fitting GMM models and estimating model parameters.
To install my GMM Package remotes::install_github("DorisAmoakohene/R-package-CS599")
Usage: library(gmm) library(car) library(mvtnorm) library(data.table) library(stats)
generate data gmm_model print results
Generate some random dataset set.seed(123) data <- rbind( mvtnorm::rmvnorm(100, mean = c(0, 0), sigma = matrix(c(1, 0.5, 0.5, 1), nrow = 2)), mvtnorm::rmvnorm(100, mean = c(3, 3), sigma = matrix(c(1, -0.5, -0.5, 1), nrow = 2))
#'result <- GMM(data, K = 2) #'# Print the result #'print(result)