View source: R/priorOnK_spec.R
priorOnK_spec | R Documentation |
K
.Obtain a function to evaluate the log prior
specified for K
.
priorOnK_spec(
P = c("fixedK", "Unif", "BNB_111", "BNB_121", "BNB_143", "BNB_443", "BNB_943",
"Pois_1", "Pois_4", "Pois_9", "Geom_05", "Geom_02", "Geom_01", "NB_11", "NB_41",
"NB_91"),
K
)
P |
A character indicating which specification should be used. See Details for suitable values. |
K |
A numeric or integer scalar specifying the fixed (if |
The following prior specifications are supported:
"fixedK"
: K has the fixed value K (second argument).
"Unif"
: K \sim
Unif[1,K]
, where the upper limit is given by K (second argument).
"BNB_111"
: K-1 \sim
BNB(1,1,1), i.e., K-1
follows a beta-negative binomial distribution with parameters (1,1,1)
.
"BNB_121"
: K-1 \sim
BNB(1,2,1), i.e., K-1
follows a beta-negative binomial distribution with parameters (1,2,1)
.
"BNB_143"
: K-1 \sim
BNB(1,2,1), i.e., K-1
follows a beta-negative binomial distribution with parameters (1,4,3)
.
"BNB_443"
: K-1 \sim
BNB(4,4,3), i.e., K-1
follows a beta-negative binomial distribution with parameters (4,4,3)
.
"BNB_943"
: K-1 \sim
BNB(9,4,3), i.e., K-1
follows a beta-negative binomial distribution with parameters (9,4,3)
.
"Pois_1"
: K-1 \sim
pois(1), i.e., K-1
follows a Poisson distribution with rate 1.
"Pois_4"
: K-1 \sim
pois(4), i.e., K-1
follows a Poisson distribution with rate 4.
"Pois_9"
: K-1 \sim
pois(9), i.e., K-1
follows a Poisson distribution with rate 9.
"Geom_05"
: K-1 \sim
geom(0.5), i.e., K-1
follows a geometric distribution with success probability p=0.5
and density f(x)=p(1-p)^x
.
"Geom_02"
: K-1 \sim
geom(0.2), i.e., K-1
follows a geometric distribution with success probability p=0.2
and density f(x)=p(1-p)^x
.
"Geom_01"
: K-1 \sim
geom(0.1), i.e., K-1
follows a geometric distribution with success probability p=0.1
and density f(x)=p(1-p)^x
.
"NB_11"
: K-1 \sim
nbinom(1,0.5), i.e., K-1
follows a negative-binomial distribution with size=1
and p=0.5
.
"NB_41"
: K-1 \sim
nbinom(4,0.5), i.e., K-1
follows a negative-binomial distribution with size=4
and p=0.5
.
"NB_91"
: K-1 \sim
nbinom(9,0.5), i.e., K-1
follows a negative-binomial distribution with size=9
and p=0.5
.
A named list containing:
"log_pK"
: a function of the log prior of K
.
"param"
: a list with the parameters.
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