update_weights: Update Weights based on betas and gammas.
In sahirbhatnagar/shim: High Dimensional Interactions with an Environment Variable

uses betas and gammas to update weights. this is used to update the weights at each iteration of the fitting algorithm in the shim function

1 2	update_weights(betas, gammas, main.effect.names, interaction.names, epsilon = 1e-05)

`main.effect.names`	character vector of main effects names
`interaction.names`	character vector of interaction names. must be separated by a colon (e.g. x1:x2)
`betas.and.gammas`	q x 1 data.frame or matrix of betas and gamma estimates. The rownames must be appropriately labelled because these labels are be used in this function and must match those in the arguments `main.effect.names` and `interaction.names`