Nothing
test_that("test_each_stan_prog", {
# cover all stan progs not covered by other test file
# create sample data
set.seed(651)
X <- matrix(rnorm(100*5), ncol=5)
y1 <- sample(x=c(0,1), size=100, replace=TRUE, prob=c(0.5, 0.5))
y2 <- sample(x=c(0,1), size=100, replace=TRUE, prob=c(0.5, 0.5))
idnum <- rep(1:20, each=5)
dat <- data.frame(X = X,
y1 = y1,
y2 = y2,
y1cont = rnorm(100),
y2cont = rnorm(100),
idnum=factor(idnum))
# glm_discrete_mixed_with_qr
# logistic regression
f1 <- bayesGAM(y1 ~ X.1 + X.2 + X.3 + X.4 + X.5,
data=dat, family=binomial,
random = ~idnum,
chains = 1, iter = 500)
cf1 <- coef(f1)
expect_equal(length(cf1), 27)
expect_true(sum(abs(cf1)) > 0)
# multresponse_semipar_array
f2 <- bayesGAM(cbind(y1cont, y2cont) ~
X.1 + X.2 + X.3 + X.4 + X.5,
data=dat, family=gaussian,
chains=1, iter=2000)
cf2 <- coef(f2)
expect_equal(length(cf2), 14)
expect_true(sum(abs(cf2)) > 0)
# multresponse_semipar_array_discrete
f3 <- bayesGAM(cbind(y1, y2) ~
X.1 + X.2 + X.3 + X.4 + X.5,
data=dat, family=binomial,
chains=1, iter=500)
cf3 <- coef(f3)
expect_equal(length(cf3), 12)
expect_true(sum(abs(cf3)) > 0)
f5 <- bayesGAM(cbind(y1, y2) ~ X.3 +
np(X.1, X.2),
data=dat, family=binomial,
chains=1, iter=500)
cf5 <- coef(f5)
expect_equal(length(cf5), 60)
expect_true(sum(abs(cf5)) > 0)
# multresponse_semipar_array_mixed
f8 <- bayesGAM(cbind(y1, y2) ~ X.3 +
np(X.1, X.2),
data=dat, family=gaussian,
chains=1, iter=500)
cf8 <- coef(f8)
expect_equal(length(cf8), 62)
expect_true(sum(abs(cf8)) > 0)
})
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