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Rでベイジアンネットワーク
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| # Refererce:http://ushi-goroshi.hatenablog.com/entry/2018/01/11/233317 | |
| # install.packages("bnlearn") | |
| # install.packages("BNSL") | |
| library(bnlearn) | |
| library(BNSL) | |
| set.seed(123) | |
| norm <- rnorm(4000) | |
| Data <- matrix(norm, nrow = 1000, ncol = 4, byrow = T) | |
| colnames(Data) <- c("Height", "BMI", "SBP", "FBS") | |
| Data2 <- Data <- as.data.frame(Data) | |
| Data2$Height <- 170 + Data$Height * 10 | |
| Data2$SBP <- 120 + Data$SBP * 10 | |
| Data2$BMI <- 22 + Data$Height * 5 + Data$SBP * 5 | |
| Data2$FBS <- 90 + (Data2$BMI - 22) * 5 + Data$FBS * 10 | |
| str_01_gs <- gs(Data2) #構造推定 | |
| print(arcs(str_01_gs)) #構造を表示(Type:matrix) | |
| write.dot("str_01_gs.dot", str_01_gs) #構造を表示 | |
| fit_01 <- bn.fit(str_01_gs, Data2) #パラメーター推定 | |
| coef_01 <- coefficients(fit_01)#パラメーター抽出 | |
| print(coef_01) |
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