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MLX-friendly binomial family

Source: R/mlxs-binomial.R
mlxs_binomial.Rd

Construct a binomial GLM family whose core link and deviance helpers are implemented in R so they work with MLX arrays as well as base R vectors. This avoids calling into compiled C routines that only handle base types.

Usage

mlxs_binomial(link = "logit")

Arguments

a specification for the model link function. This can be a name/expression, a literal character string, a length-one character vector, or an object of class "link-glm" (such as generated by make.link) provided it is not specified via one of the standard names given next.

The gaussian family accepts the links (as names) identity, log and inverse; the binomial family the links logit, probit, cauchit, (corresponding to logistic, normal and Cauchy CDFs respectively) log and cloglog (complementary log-log); the Gamma family the links inverse, identity and log; the poisson family the links log, identity, and sqrt; and the inverse.gaussian family the links 1/mu^2, inverse, identity and log.

The quasi family accepts the links logit, probit, cloglog, identity, inverse, log, 1/mu^2 and sqrt, and the function power can be used to create a power link function.

Value

A family object compatible with stats::glm() and mlxs_glm().

Details

Currently the logit, log, cloglog, and cauchit links are supported. For other link specifications, fall back to stats::binomial().