这是我的 MCMC 示例的快照：
虽然以 的形式按列进行子集化很直观，但samples[,1:15]显然我想从对列号进行硬编码转变为公式化的子集化。
例如，这是我（成功）按 beta 进行子集化的方式：
p <- ncol(X.mod) # p=8
head(samples[, c(paste("beta[", 1:p, "]", sep = "")])
问题是，我无法弄清楚如何通过迭代列名以公式化的方式对这些样本进行子集化，这与我的y后验分布相关：
这是我尝试通过nand进行子集化时发生的情况p：
n <- nrow(X.mod) # n=52
p <- ncol(X.mod) # p=8
head(samples[, c(paste("y[",1:n,",", 1:p, "]", sep = ""))])
子集未能选择所有y的，因为1:n不重复 for 1:p。
如何对所有后y[1:n,1:p]验分布进行子集化？
样本数据：
samples=list(structure(c(-51.2677209544157, -21.4563066467399, 16.8163390467341,
9.4403233375381, 48.1649529600012, 527.042041706746, 512.571280385213,
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1314.46850289829, 1299.28259509269, 1301.53294554643, 1320.78264289766,
299.286629146479, 301.909535290067, 300.894814624028, 300.804302607962,
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2.99998007884072, 2.99942379397774, 2.99994292246781, 2.99999437834094,
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2.28031148982903e-08, 2.27452464612387e-08, 2.27718314881392e-08,
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NULL, c("b_0", "b_1", "b_2", "beta[1]", "beta[2]", "beta[3]",
"beta[4]", "beta[5]", "beta[6]", "beta[7]", "beta[8]", "phi",
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"w[4]", "w[5]", "w[6]", "w[7]", "w[8]", "w[9]", "w[10]",
"w[11]", "w[12]", "w[13]", "w[14]", "w[15]", "w[16]", "w[17]",
"w[18]", "w[19]", "w[20]", "w[21]", "w[22]", "w[23]", "w[24]",
"w[25]", "w[26]", "w[27]", "w[28]", "w[29]", "w[30]", "w[31]",
"w[32]", "w[33]", "w[34]", "w[35]", "w[36]", "w[37]", "w[38]",
"w[39]", "w[40]", "w[41]", "w[42]", "w[43]", "w[44]", "w[45]",
"w[46]", "w[47]", "w[48]", "w[49]", "w[50]", "w[51]", "w[52]",
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"y[29,3]"))))