如何用lmerTest生成置信区间？调用contest函数报错求助

Got it, let's fix that error first and get your confidence intervals sorted with lmerTest! The problem here is a simple typo—you're trying to use contest(), but that function doesn't exist in the lmerTest package. The correct function for contrast tests with confidence interval support is contestLmer().

Step 1: Correct the Function Call #

Here's the fixed version of your code using the right function name:

contestLmer(mymodel, L, rhs = 0, joint = TRUE, collect = TRUE, confint = TRUE, level = 0.95, check_estimability = FALSE, ddf = c("Satterthwaite", "Kenward-Roger", "lme4"), ...)

Step 2: Simpler Alternative for Fixed Effect CIs #

If you just need confidence intervals for the fixed effects in your linear mixed model, you can use the overridden confint() method from lmerTest directly—no need for the contrast matrix unless you're testing specific comparisons:

# Load lmerTest first if you haven't
library(lmerTest)

# CIs using Satterthwaite degrees of freedom
confint(mymodel, method = "Satterthwaite")

# CIs using Kenward-Roger degrees of freedom (more accurate for small samples)
confint(mymodel, method = "Kenward-Roger")

Step 3: Double-Check Package Setup #

Before running any of the above, make sure you've installed and loaded lmerTest properly—this is a common source of "function not found" errors:

# Install the package if you haven't already
install.packages("lmerTest")

# Load it into your R session
library(lmerTest)

Just a quick note: Ensure your L contrast matrix is correctly formatted for the specific comparisons you want to test if you're sticking with contestLmer()—that matrix defines which contrasts the function will calculate CIs for.

内容的提问来源于stack exchange，提问作者sar