In glm() function, it seems that you can specify Normal, Gamma, Inverse Gaussian, Poisson, Binomial, and quasi families. See here: https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html. But how do you specify an Exponential distribution?
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The exponential distribution is a Gamma distribution with shape parameter $1$. – whuber Dec 06 '16 at 23:11
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Answered here: http://stats.stackexchange.com/questions/240455/fitting-exponential-regression-model-by-mle ... both Ben's answer and mine contain the essential information (his was just after mine but with more details) – Glen_b Dec 06 '16 at 23:17
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Thanks! Is there an easy way to get plots and fitted values after summary(glm.fit, dispersion = 1), where glm.fit is the fitted glm? I used to do plot(glm.fit) and fitted.values(glm.fit)... – 193381 Dec 06 '16 at 23:58