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GLM families for pic — descriptor layer.

Source: R/families.R
pic_families.Rd

Each family is a thin descriptor carrying:

  • name - used by the dispatchers to route to the C++ implementation.

  • g - mean-function link (object with name and callable fn). g$fn(eta) is applied at predict time to obtain the mean response.

  • phi - variance-stabilizing transform (object with name). Purely informational on the R side; the actual stabilization happens inside the C++ math.

Details

Typing fit$family gives a one-glance summary of the model's family (see print.pic.family()). The actual loss / gradient math lives in C++:

  • src/family_*.cpp — Gaussian, Binomial, Poisson, Exponential, Gumbel.

  • src/cox.cpp — Cox.