This is my data:
'data.frame': 72 obs. of 7 variables:
$ X1 : chr "2011M1" "2011M2" "2011M3" "2011M4" ...
$ KPR : int 0 0 0 0 0 0 0 0 0 0 ...
$ LTV : Factor w/ 3 levels "0","1","2": 1 1 1 1 1 1 1 1 1 1 ...
$ sukubunga: num 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6.5 ...
$ inflasi : num 0.89 0.13 -0.32 -0.31 0.12 0.55 0.67 0.93 0.27 -0.12 ...
$ npl : num 2.31 2.39 2.22 2.2 2.12 ...
$ sbkredit : num 11.4 11.4 11.3 11.4 11.3 ...
i use the package glarma and this is my steps:
library(readr)
b <- read_csv("E:/b.csv")
dataku<-as.data.frame(b)
dataku$LTV<-as.factor(dataku$LTV)
dataku$LTV<-relevel(dataku$LTV,ref="0")
glmmo<-glm(KPR~LTV+sbkredit+inflasi+npl,data=dataku,family=binomial(link=logit),na.action=na.omit,x=TRUE)
summary(glmmo)
X<-glmmo$x
X<-as.matrix(X)
y1<-dataku$KPR
n1<-rep(1,length(dataku$X))
Y<-cbind(y1,n1-y1)
Y<-as.matrix(Y)
library(glarma)
glarmamo<-glarma(Y,X,phiLags=c(1),phiInit=c(0.6),type="Bin",method="FS",residuals="Pearson",maxit=100,grad=1e-6)
but, i get error :
Error in GL$cov %*% GL$ll.d : requires numeric/complex matrix/vector arguments
When i multiply GL$cov %*% GL$ll.d for so, what should i do?