[英]Defining a wrapper function in glmulti
I am new to R scripting and I would like to run glmulti with a wrapper function for a negative binomial family with offset.我是 R 脚本的新手,我想使用包装器 function 运行 glmulti,以获得带有偏移的负二项式系列。 I would like advice on the following code since I am getting an error message.
由于收到错误消息,因此我想就以下代码提出建议。 Variables a,b and c are factors and da covariate.
变量 a、b 和 c 是因子和协变量。 Variable e is used as an offset.
变量 e 用作偏移量。
glmnb.glmulti <- function(formula, data, offset, ...)
glm.nb(formula, offset=offset, data=data, ...)
selection<- glmulti(y~ a + b + c + d,level=2,
fitfunction=glmnb.glmulti, offset=log(e), crit="aic")
Initialization...
Error in model.frame.default(formula = formula, data = data, offset = offset, :
invalid type (closure) for variable '(offset)'
Any advice would be much appreciated.任何建议将不胜感激。
Thank you a lot!十分感谢! I also tried the following and it also worked
我也尝试了以下方法,它也有效
eqt <- as.formula(y~ a + b + c + d) eqt <- as.formula(y~ a + b + c + d)
glmnb <- function(formula, data, weights, ...) glm.nb(formula, data=data, weights=offset(log(e)), ...) glmnb <- 函数(公式,数据,权重,...) glm.nb(公式,数据=数据,权重=偏移(log(e)),...)
selection <- glmulti(eqt, data=data, fitfunction=glmnb, crit = "aic")选择 <- glmulti(eqt, data=data, fitfunction=glmnb, crit = "aic")
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