Test examples to be run manually by package maintainer.
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library(testthat)
model1 <- jags_model("
model {
bLambda ~ dlnorm(0, 10^-2)
for (i in 1:length(x)) {
x[i] ~ dpois(bLambda)
}
}",
model_id = "First Model")
model2 <- jags_model("
model {
bLambda ~ dlnorm(0, 5^-2)
for (i in 1:length(x)) {
x[i] ~ dpois(bLambda)
}
}",
model_id = "Second Model")
models <- combine(model1, model2)
data <- data.frame(x = rpois(100,1))
analysis <- jags_analysis (model1, data, mode = "paper")
analysis <- jags_analysis (model1, data, mode = "demo")
analysis <- jags_analysis (model2, data, mode = "demo")
analysis <- jags_analysis (models, data, mode = "demo")
registerDoParallel(2)
expect_warning(opts_jagr(parallel = TRUE))
expect_warning(analysis <- jags_analysis (model1, data, mode = "demo"))
expect_warning(analysis <- jags_analysis (model2, data, mode = "demo"))
expect_warning(analysis <- jags_analysis (models, data, mode = "demo"))
#' # stop cluster if registered parallel backend in windows
if(.Platform$OS.type == "windows") stopImplicitCluster()
expect_true(is_parallel(analysis))
opts_jagr(parallel = FALSE)
registerDoSEQ()
expect_true(is_parallel(analysis))
expect_error(update(analysis))
analysis <- jags_analysis (model1, data, mode = "demo")
analysis <- update(analysis)
expect_false(is_parallel(analysis))
registerDoParallel(4)
opts_jagr(parallel = TRUE)
analysis <- update(analysis)
expect_false(is_parallel(analysis))
analysis <- jags_analysis (model1, data, mode = "demo")
analysis <- jags_analysis (model2, data, mode = "demo")
analysis <- jags_analysis (models, data, mode = "demo")
#' # stop cluster if registered parallel backend in windows
if(.Platform$OS.type == "windows") stopImplicitCluster()
opts_jagr(parallel = FALSE)
registerDoSEQ()
registerDoParallel(4)
opts_jagr(parallel = TRUE)
mod <- jags_model("
model {
alpha ~ dunif(-20, 20)
beta1 ~ dunif(-10, 10)
beta2 ~ dunif(-10, 10)
beta3 ~ dunif(-10, 10)
sigma ~ dunif(0, 5)
for (i in 1:length(Year)) {
eps[i] ~ dnorm(0, sigma^-2)
eLogC[i] <- alpha + beta1 * Year[i]
+ beta2 * Year[i]^2 + beta3 * Year[i]^3
log(eC[i]) <- eLogC[i] + eps[i]
C[i] ~ dpois(eC[i])
}
}",
derived_code = "data{
for (i in 1:length(Year)) {
log(prediction[i]) <- alpha + beta1 * Year[i]
+ beta2 * Year[i]^2 + beta3 * Year[i]^3
}
}",
random_effects = list(eps = "Year"),
select_data = c("C","Year*")
)
dat <- jaggernaut::falcon
dat$C <- dat$Pairs
an <- jags_analysis (mod, dat, mode = "debug")
an <- jags_analysis (mod, dat, mode = "test")
an <- jags_analysis (mod, dat, mode = "demo")
an <- jags_analysis (mod, dat, mode = "explore")
an <- jags_analysis (mod, dat, mode = "report")
expect_warning(an <- jags_analysis (mod, dat, mode = "paper"))
an <- jags_analysis (mod, dat, niters = 10^3)
# stop cluster if registered parallel backend in windows
if(.Platform$OS.type == "windows") stopImplicitCluster()
opts_jagr(parallel = FALSE)
registerDoSEQ()
registerDoParallel(4)
opts_jagr(parallel = TRUE)
demo(peregrine, ask= FALSE)
demo(hm, ask = FALSE)
demo(fritillary, ask= FALSE)
demo(pinna, ask = FALSE)
demo(tits, ask = FALSE)
demo(p610, ask = FALSE)
# stop cluster if registered parallel backend in windows
if(.Platform$OS.type == "windows") stopImplicitCluster()
opts_jagr(parallel = FALSE)
registerDoSEQ()
## End(Not run)
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