Implement feglm() function to support logistic regression
#674
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feglm(), to run generalized linear models. The idea is that users will be able to run different glm's by callingpf.feglm()with atypeargument, that supports "logit", "poisson", and "probit".Felogit, which runs logistic regression. This is work in progress - most notably, we need to implement the iterated weighted least squares update steps as in Stamann (2018).Felogitcurrently inherits from theFepoisclass. Long term, we'd likely want to implement an abstractGLMclass, which all GLM types would then be derived from.