Nothing
library(nlme)
skip_if_not_installed("scdhlm")
data(Laski, package = "scdhlm")
Laski_iid <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
data = Laski)
Laski_het <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
weights = varIdent(form = ~ 1 | treatment),
data = Laski)
Laski_AR1 <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
correlation = corAR1(0.2, ~ time | case),
data = Laski)
Laski_hetAR1 <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
correlation = corAR1(0.2, ~ time | case),
weights = varIdent(form = ~ 1 | treatment),
data = Laski)
Laski_CAR1 <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
correlation = corCAR1(0.2, ~ time | case),
data = Laski)
Laski_MA1 <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
correlation = corARMA(0, ~ time | case, p = 0, q = 1),
data = Laski)
Laski_MA2 <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
correlation = corARMA(c(0,0), ~ time | case, p = 0, q = 2),
data = Laski)
Laski_AR1MA1 <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
correlation = corARMA(c(0,0), ~ time | case, p = 1, q = 1),
data = Laski)
Laski_AR1MA1 <- lme(fixed = outcome ~ treatment,
random = ~ treatment | case,
correlation = corARMA(c(0,0), ~ time | case, p = 1, q = 1),
data = Laski)
Bodyweight_Gaus <- lme(weight ~ Time * Diet,
data = BodyWeight,
random = ~ Time,
weights = varPower(),
correlation = corGaus(form = ~ Time))
data(Lambert, package = "scdhlm")
if ("measure" %in% names(Lambert)) Lambert <- subset(Lambert, measure=="academic response")
Lambert_RML <- lme(fixed = outcome ~ treatment,
random = ~ 1 | case,
correlation = corAR1(0.1, ~ time | case),
data = Lambert)
data(Anglesea, package = "scdhlm")
Anglesea_RML <- lme(fixed = outcome ~ condition,
random = ~ condition | case,
correlation = corAR1(0.2, ~ session | case),
data = Anglesea)
data(Saddler, package = "scdhlm")
Saddler_quality_RML <- lme(fixed = outcome ~ treatment,
random = ~ 1 | case,
correlation = corAR1(0, ~ time | case),
data = subset(Saddler, measure=="writing quality"))
data(Schutte, package = "scdhlm")
Schutte <- subset(Schutte, case != "Case 4")
Schutte$case <- factor(Schutte$case)
Schutte$trt_week <- with(Schutte,
unlist(tapply((treatment=="treatment") * week,
list(treatment, case),
function(x) x - min(x))) + (treatment=="treatment"))
Schutte$week <- Schutte$week - 9 # center at follow-up time (week 9)
# Varying intercepts, fixed treatment effect, fixed trends
Schutte_RML3 <- lme(fixed = fatigue ~ week + treatment + trt_week,
random = ~ 1 | case,
correlation = corAR1(0, ~ week | case),
data = Schutte,
method = "REML")
# Varying intercepts, fixed treatment effect, varying trends
Schutte_RML4 <- update(Schutte_RML3, random = ~ week | case)
# Varying intercepts, varying trends, varying treatment-by-time interactions
Schutte_RML5 <- suppressWarnings(
update(Schutte_RML4, random = ~ week + trt_week | case,
control=lmeControl(msMaxIter = 50, apVar=FALSE, returnObject=TRUE))
)
# mod <- Laski_iid
# grps <- Laski$case
# invert <- TRUE
# sigma_scale <- TRUE
# R_list <- build_corr_mats(mod)
test_that("targetVariance() works with 2-level models.", {
test_Sigma_mats(Laski_iid, Laski$case)
test_Sigma_mats(Laski_het, Laski$case)
test_Sigma_mats(Laski_AR1, Laski$case)
test_Sigma_mats(Laski_hetAR1, Laski$case)
test_Sigma_mats(Laski_CAR1, Laski$case)
test_Sigma_mats(Laski_MA1, Laski$case)
test_Sigma_mats(Laski_MA2, Laski$case)
test_Sigma_mats(Laski_AR1MA1, Laski$case)
test_Sigma_mats(Bodyweight_Gaus)
test_Sigma_mats(Lambert_RML, Lambert$case)
test_Sigma_mats(Anglesea_RML, Anglesea$case)
test_Sigma_mats(Saddler_quality_RML, subset(Saddler, measure=="writing quality")$case )
test_Sigma_mats(Schutte_RML3, Schutte$case)
test_Sigma_mats(Schutte_RML4, Schutte$case)
test_Sigma_mats(Schutte_RML5, Schutte$case)
})
test_that("Derivative matrices are of correct dimension with 2-level models.", {
test_deriv_dims(Laski_iid)
test_deriv_dims(Laski_het)
test_deriv_dims(Laski_AR1)
test_deriv_dims(Laski_hetAR1)
test_deriv_dims(Laski_CAR1)
test_deriv_dims(Laski_MA1)
expect_error(test_deriv_dims(Laski_MA2))
expect_error(test_deriv_dims(Laski_AR1MA1))
expect_error(test_deriv_dims(Bodyweight_Gaus))
test_deriv_dims(Lambert_RML)
test_deriv_dims(Anglesea_RML)
test_deriv_dims(Saddler_quality_RML)
test_deriv_dims(Schutte_RML3)
test_deriv_dims(Schutte_RML4)
test_deriv_dims(Schutte_RML5)
})
test_that("Information matrices work with FIML too.", {
test_with_FIML(Laski_iid)
test_with_FIML(Laski_het)
test_with_FIML(Laski_AR1)
test_with_FIML(Laski_hetAR1)
test_with_FIML(Laski_CAR1)
test_with_FIML(Laski_MA1)
test_with_FIML(Lambert_RML)
test_with_FIML(Anglesea_RML)
test_with_FIML(Saddler_quality_RML)
test_with_FIML(Schutte_RML3)
test_with_FIML(Schutte_RML4)
test_with_FIML(Schutte_RML5)
})
test_that("dR_dcorStruct.corCAR1 returns the same result as dR_dcorStruct.corAR1.", {
expect_equal(dR_dcorStruct.corCAR1(Laski_CAR1$modelStruct$corStruct),
dR_dcorStruct.corAR1(Laski_AR1$modelStruct$corStruct),
tol = 10^-5)
})
test_that("lmeinfo::g_mlm returns the same result as scdhlm::g_REML.", {
skip_if_not_installed("scdhlm", minimum_version = "0.4.2")
check_against_scdhlm(Laski_AR1,
p_lmeInfo = c(0,1), r_lmeInfo = c(1,0,0,0,1),
p_scdhlm = c(0,1), r_scdhlm = c(1,0,1,0,0))
})
test_that("Results do not depend on order of data.", {
skip_on_cran()
test_after_shuffling(Laski_iid, seed = 20)
test_after_shuffling(Laski_het, seed = 17) # 20
test_after_shuffling(Laski_AR1, seed = 20)
test_after_shuffling(Laski_hetAR1, test = "full", seed = 17) # 20
test_after_shuffling(Laski_CAR1, seed = 20)
test_after_shuffling(Laski_MA1, seed = 20)
test_after_shuffling(Lambert_RML, seed = 20)
test_after_shuffling(Anglesea_RML, seed = 20)
test_after_shuffling(Saddler_quality_RML, seed = 20)
test_after_shuffling(Schutte_RML3, seed = 20)
test_after_shuffling(Schutte_RML4, seed = 20)
})
test_that("Info matrices work with dropped observations.", {
skip_on_cran()
test_after_deleting(Laski_iid)
test_after_deleting(Laski_het)
test_after_deleting(Laski_AR1)
test_after_deleting(Laski_hetAR1)
test_after_deleting(Laski_CAR1)
test_after_deleting(Laski_MA1)
test_after_deleting(Lambert_RML)
test_after_deleting(Anglesea_RML)
test_after_deleting(Saddler_quality_RML)
test_after_deleting(Schutte_RML3)
test_after_deleting(Schutte_RML4)
})
test_that("New REML calculations work.", {
check_REML2(Laski_iid)
check_REML2(Laski_het)
check_REML2(Laski_AR1)
check_REML2(Laski_hetAR1)
check_REML2(Laski_CAR1)
check_REML2(Laski_MA1)
check_REML2(Lambert_RML)
check_REML2(Anglesea_RML)
check_REML2(Saddler_quality_RML)
check_REML2(Schutte_RML3)
check_REML2(Schutte_RML4)
check_REML2(Schutte_RML5)
})
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