inst/classic-bugs/vol1/rats/rats-data.R

In nimble: MCMC, Particle Filtering, and Programmable Hierarchical Modeling

"N" <-
30
"T" <- 
5
"Y" <-
structure(c(151, 145, 147, 155, 135, 159, 141, 159, 177, 134, 
160, 143, 154, 171, 163, 160, 142, 156, 157, 152, 154, 139, 146, 
157, 132, 160, 169, 157, 137, 153, 199, 199, 214, 200, 188, 210, 
189, 201, 236, 182, 208, 188, 200, 221, 216, 207, 187, 203, 212, 
203, 205, 190, 191, 211, 185, 207, 216, 205, 180, 200, 246, 249, 
263, 237, 230, 252, 231, 248, 285, 220, 261, 220, 244, 270, 242, 
248, 234, 243, 259, 246, 253, 225, 229, 250, 237, 257, 261, 248, 
219, 244, 283, 293, 312, 272, 280, 298, 275, 297, 350, 260, 313, 
273, 289, 326, 281, 288, 280, 283, 307, 286, 298, 267, 272, 285, 
286, 303, 295, 289, 258, 286, 320, 354, 328, 297, 323, 331, 305, 
338, 376, 296, 352, 314, 325, 358, 312, 324, 316, 317, 336, 321, 
334, 302, 302, 323, 331, 345, 333, 316, 291, 324), .Dim = c(30, 
5))
"x" <- c(8.0, 15.0, 22.0, 29.0, 36.0)