将命名的模型列表传递给anova.merMod

我希望能够将命名的模型列表(merMod对象)传递给anova()并在输出中保留模型名称.在使用mclapply()以更高效并行运行一批慢速模型(如glmer)的情况下,这尤其有用.我提出的最好的是在模型列表的去命名版本上使用do.call,但这并不理想,因为我可能有名为(例如)"mod12","mod17"和"mod16"的模型并且这些模型名称在输出中被转换为"MODEL1","MODEL2"和"MODEL3".(在查看单个批次时,这看起来似乎微不足道,但在长时间的建模会话中,有几十个模型,这是一个混乱的确定方法.)

请注意,这与从列表创建和调用线性模型的问题不同,因为我不是要尝试跨列表比较模型对.它比在模型列表上使用lapply更复杂,因为我以非一元的方式使用anova().

这是一个最小的代表:

library(lme4)

formList <- c(mod12 = angle ~ recipe + temp + (1|recipe:replicate),
              mod17 = angle ~ recipe + temperature + (1|recipe:replicate),
              mod16 = angle ~ recipe * temperature + (1|recipe:replicate))
modList <- lapply(formList, FUN=lmer, data=cake)

# Fails because modList is named so it's interpreted as arg-name:arg pairs
do.call(anova, modList)

# Suboptimal because model names aren't preserved
do.call(anova, unname(modList))

# Fails because object isn't merMod (or some other class covered by methods("anova"))
do.call(anova, list(object=modList[1], ...=modList[-1], model.names=names(modList)))

第二个do.call返回:

Data: ..1
Models:
MODEL1: angle ~ recipe + temp + (1 | recipe:replicate)
MODEL2: angle ~ recipe + temperature + (1 | recipe:replicate)
MODEL3: angle ~ recipe * temperature + (1 | recipe:replicate)
       Df    AIC    BIC  logLik deviance   Chisq Chi Df Pr(>Chisq)
MODEL1  6 1708.2 1729.8 -848.08   1696.2                          
MODEL2 10 1709.6 1745.6 -844.79   1689.6  6.5755      4     0.1601
MODEL3 20 1719.0 1791.0 -839.53   1679.0 10.5304     10     0.3953

理想情况下,输出看起来像这样:

Data: ..1
Models:
mod12: angle ~ recipe + temp + (1 | recipe:replicate)
mod17: angle ~ recipe + temperature + (1 | recipe:replicate)
mod16: angle ~ recipe * temperature + (1 | recipe:replicate)
      Df    AIC    BIC  logLik deviance   Chisq Chi Df Pr(>Chisq)
mod12  6 1708.2 1729.8 -848.08   1696.2                          
mod17 10 1709.6 1745.6 -844.79   1689.6  6.5755      4     0.1601
mod16 20 1719.0 1791.0 -839.53   1679.0 10.5304     10     0.3953

我该怎么做呢？如果这意味着我得到一个更容易理解的输出,我对anova()周围的丑陋包装非常满意.

您可以传递这样的符号列表:

with(modList,
     do.call(anova, 
             lapply(names(modList), as.name)))
#refitting model(s) with ML (instead of REML)
#Data: ..1
#Models:
#mod12: angle ~ recipe + temp + (1 | recipe:replicate)
#mod17: angle ~ recipe + temperature + (1 | recipe:replicate)
#mod16: angle ~ recipe * temperature + (1 | recipe:replicate)
#      Df    AIC    BIC  logLik deviance   Chisq Chi Df Pr(>Chisq)
#mod12  6 1708.2 1729.8 -848.08   1696.2                          
#mod17 10 1709.6 1745.6 -844.79   1689.6  6.5755      4     0.1601
#mod16 20 1719.0 1791.0 -839.53   1679.0 10.5304     10     0.3953