More Loss Functions

[stevencarlislewalker]

Including the existing negative binomial loss function, please ensure that the following loss functions are available with the following loss IDs.

test case

Each new loss function needs to include both computation of the loss and the simulation of observation error. These are here in the negative binomial case:

• Loss
• Simulation

Negative Binomial

Exists already as case = 0

Poisson

• case = 1
• TMB loss function
• TMB simulation function
• Notes: this loss function does not have any loss parameters and so loss_param_count=0

Log Normal

• case = 2
• TMB loss function
• TMB simulation function
• Notes: because this is the log normal distribution, you need to first log-transform the observed variable before passing it to the x argument of dnorm and log-transform the simulated variable before passing it to the mean argument of dnorm and mu argument of rnorm

Normal

• case = 3
• TMB loss function
• TMB simulation function
• Notes: same as log normal but without the required log transformations

Beta

• case = 4
• TMB loss function
• TMB simulation function
• Notes: this is an example involving loss_param_count=2