Description Usage Arguments Value Examples
dprior
matches 5 types of string: tnorm
, beta_lu
,
gamma_l
, lnorm_l
, and constant
to determine which
density functions to call. dprior
calls beta, gamma, log-normal
density functions via R API. For truncated normal density, dprior
calls dtn_scalar
, an internal Rcpp function built specific for
ggdmc. Whetehr log the probability density is determined by the boolean
log
sent in via p.prior. This function is akin to DMC's
log.prior.dmc
.
1 | rprior(pPrior, n)
|
pPrior |
a p.prior list |
n |
how many random number to generate |
a double matrix with nrow equal to the number of random numbers and ncol equal to the number of EAM parameters (npar)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ddm.prior <- prior.p.dmc(
dists = c("tnorm", "tnorm", "beta", "tnorm", "beta", "beta"),
p1 = c(a = 1, v = 0, z = 1, sz = 1, sv = 1, t0 = 1),
p2 = c(a = 1, v = 2, z = 1, sz = 1, sv = 1, t0 = 1),
lower = c(0,-5, NA, NA, 0, NA),
upper = c(2, 5, NA, NA, 2, NA))
view(ddm.prior)
## mean sd lower upper log dist untrans
## a 1 1 0 2 1 tnorm identity
## v 0 2 -5 5 1 tnorm identity
## z 1 1 0 1 1 beta_lu identity
## sz 1 1 -Inf Inf 1 tnorm identity
## sv 1 1 0 2 1 beta_lu identity
## t0 1 1 0 1 1 beta_lu identity
rprior(ddm.prior, 9)
## a v z sz sv t0
## [1,] 0.97413686 0.78446178 0.9975199 -0.5264946 0.5364492 0.55415052
## [2,] 0.72870190 0.97151662 0.8516604 1.6008591 0.3399731 0.96520848
## [3,] 1.63153685 1.96586939 0.9260939 0.7041254 0.4138329 0.78367440
## [4,] 1.55866180 1.43657110 0.6152371 0.1290078 0.2957604 0.23027759
## [5,] 1.32520281 -0.07328408 0.2051155 2.4040387 0.9663111 0.06127237
## [6,] 0.49628528 -0.19374770 0.5142829 2.1452972 0.4335482 0.38410626
## [7,] 0.03655549 0.77223432 0.1739831 1.4431507 0.6257398 0.63228368
## [8,] 0.71197612 -1.15798082 0.8265523 0.3813370 0.4465184 0.23955415
## [9,] 0.38049166 3.32132034 0.9888108 0.9684292 0.8437480 0.13502154
|
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