[英]Poisson distribution in R mixdist package
I think my data might be described by a sum of Poisson distributions and I found out about mixdist
package for R.我认为我的数据可能由泊松分布的总和来描述,我发现了关于mixdist
的 mixdist package。 I managed to fit gamma and lnorm distributions, but I can't figure out how to use Poisson.我设法拟合了 gamma 和 lnorm 分布,但我不知道如何使用 Poisson。 I tried with the example data first:我首先尝试了示例数据:
library(mixdist)
data(poisdat)
data(poispar)
plot.mixdata(poisdat) #this works
fitp<-mix(poisdat, coef(poispar), "pois") #this doesn't
but I get an error Error in if (usecondit & ncol(mixdat) - 2.= k) stop("Conditional data are not consistent with mixpar:") : argument is of length zero
但我Error in if (usecondit & ncol(mixdat) - 2.= k) stop("Conditional data are not consistent with mixpar:") : argument is of length zero
How to get a working example of mixdist and Poisson?如何获得 mixdist 和 Poisson 的工作示例?
Are you looking for this:您是否正在寻找这个:
mix(poisdat, poispar, "pois", constr = mixconstr(consigma = "POIS"))
Simply mix(poisdat, poispar, "pois")
gives an Error:简单地mix(poisdat, poispar, "pois")
给出一个错误:
Error in testconstr(mixdat, mixpar, dist, constr): Poisson needs consigma = POIS. testconstr 中的错误(mixdat、mixpar、dist、constr):泊松需要 consigma = POIS。
thas why this constr
parameter.这就是为什么这个constr
参数。
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