普通Poisson model glm1 <- glm(formula = cases ~ age + city + offset(log(pop)), family = poisson(link = "log"), data = eba1977)summary(glm1) ## ## Call:## glm(formula = cases ~ age + city + offset(log(pop)), family = poisson(link = "log"), ## data = eba1977)## #...
Create Regression ModelOpen Compiler output <-glm(formula = breaks ~ wool+tension, data = warpbreaks, family = poisson) print(summary(output)) When we execute the above code, it produces the following result −Call: glm(formula = breaks ~ wool + tension, family = poisson, data = ...
普通Poisson model glm1 <- glm(formula = cases ~ age + city + offset(log(pop)), family = poisson(link = "log"), data = eba1977) summary(glm1) 1. 2. 3. 4. ## ## Call: ## glm(formula = cases ~ age + city + offset(log(pop)), family = poisson(link = "log"), ## d...
普通Poisson model glm1 <- glm(formula= cases ~ age + city + offset(log(pop)), family = poisson(link="log"), data = eba1977) summary(glm1) ### Call:## glm(formula = cases ~ age + city + offset(log(pop)), family = poisson(link = "log"),## data = eba1977)### Deviance...
#影响收入的因素多元线性回归 Multiple linear regression of fators affecting income 1,读取数据集 Read dataset library(openxlsx) dataO=read.xlsx("2.xlsx") data0=na.omit(dataO) 1. 2. 3. 2 根据业务排除不相关的自变量 Exclude irrelevant variables according to business ...
80. Define Poisson regression. It is used to predict the outcome variable which represents counts from the given set of continuous predictor variable. 81. Define Survival analysis. It includes a number of techniques which are used for modeling the time to an event. 82. What is the use of ...
Poisson: pois Student t:t uniform: unif Weibull:weibull 在此基础上,actuar包在两个方面进行了拓展。第一个方面是对支持的损失分布进行了拓展,如图为拓展的分布 其中root这列就是调用函数的时候需要用到的名称简写,例如生成随机服从Loggamma分布的序列,则需要写 rlgamma(n, shapelog, ratelog) 第二个方向的...
(d) Use scatterplots to explore the association between SIR and PM25, JSA and Price.(10 marks)2. (a) Use BUGS and appropriate prior distributions to fit a Poisson regression model forrespiratory disease, making use of the columns Observed, Expected, PM25, JSA andPrice.(b) Use the ...
the colnames should be the variables to regress # @param features.regress An integer vector representing the indices of the # genes to run regression on # @param model.use Model to use, one of 'linear', 'poisson', or 'negbinom'; pass # NULL to simply return data.expr # @param use....
In this post I will try to copy the calculations of SAS's PROC MCMC example 61.5 (Poisson Regression) into the various R solutions. In this post Jags, RStan, MCMCpack, LaplacesDemon solutions are shown. Compared to the first post in this series, rcppbugs