Package index

Linear Models

mlxs_lm()

MLX-backed linear regression

mlxs_lm_fit()

Fit an MLX linear model from design matrices

coef(<mlxs_lm>) predict(<mlxs_lm>) fitted(<mlxs_lm>) residuals(<mlxs_lm>) vcov(<mlxs_lm>) confint(<mlxs_lm>) anova(<mlxs_lm>) as.data.frame(<mlxs_anova>) print(<mlxs_anova>) tidy(<mlxs_anova>) summary(<mlxs_lm>) print(<mlxs_lm>) print(<summary.mlxs_lm>) model.frame(<mlxs_lm>) model.matrix(<mlxs_lm>) terms(<mlxs_lm>) nobs(<mlxs_lm>) tidy(<mlxs_lm>) glance(<mlxs_lm>) augment(<mlxs_lm>)

mlxs_lm method utilities

Generalized Linear Models

mlxs_glm()

MLX-backed generalized linear model

coef(<mlxs_glm>) predict(<mlxs_glm>) fitted(<mlxs_glm>) residuals(<mlxs_glm>) vcov(<mlxs_glm>) confint(<mlxs_glm>) print(<mlxs_glm>) summary(<mlxs_glm>) print(<summary.mlxs_glm>) anova(<mlxs_glm>) model.frame(<mlxs_glm>) model.matrix(<mlxs_glm>) terms(<mlxs_glm>) nobs(<mlxs_glm>) tidy(<mlxs_glm>) glance(<mlxs_glm>) augment(<mlxs_glm>)

mlxs_glm method utilities

Elastic Net Models

mlxs_glmnet()

MLX-backed elastic net regression

mlxs_cv_glmnet()

Cross-validated MLX elastic net regression

Dimensionality Reduction

mlxs_prcomp()

MLX-backed principal components analysis

predict(<mlxs_prcomp>) print(<mlxs_prcomp>) summary(<mlxs_prcomp>) plot(<mlxs_prcomp>) biplot(<mlxs_prcomp>) nobs(<mlxs_prcomp>) tidy(<mlxs_prcomp>) augment(<mlxs_prcomp>)

PCA methods for mlxs_prcomp

Bootstrapping

mlxs_boot()

Bootstrap MLX arrays along the first dimension

Family Functions and Utilities

mlxs_gaussian()

MLX-friendly Gaussian family

mlxs_binomial()

MLX-friendly binomial family

mlxs_poisson()

MLX-friendly Poisson family

mlxs_quasibinomial()

MLX-friendly quasibinomial family

mlxs_quasipoisson()

MLX-friendly quasipoisson family

tidy() glance() augment()

Re-export generics

update(<mlxs_model>)

Shared mlxs model methods