Question: Task 4 The following function mymaxg() is more general and provided you create the appropriate helper function (in the example logbin2() ) you can use

Task 4 The following function mymaxg() is more general and provided you create the appropriate helper function (in the example logbin2() ) you can use a grid approximation to make maximum likelihood estimations. Notice we can now use independent binomials with different "n" values - we assume same "p". Also, notice the plot is the likelihood not log-likelihood logbin2-function(theta) {log(dbinom(1, prob=theta, size=2)) + log(dbinom(7, prob=theta, size=8))} mymaxlike=function (1fun="logbin2", theta) { # default Log Like is a combination bin rith

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