infer: infer

In lch14forever/BEEM-static: An EM-like algorithm for biomass and microbiome model inference from cross sectional microbial profiling data

Description

Infer parameters with blasso

Usage

infer(Y, X, method = "glmnet", intercept = FALSE, seed = 0,
  alpha = 1, nfolds = 3, lambda.init = NULL, lambda.choice = 1,
  lambda.adjust.up = TRUE, lambda.adjust.down = TRUE)

Arguments

Y	response
X	predictors
method	blasso or lm
intercept	whether to include the intercept
seed	seed
alpha	the alpha parameter for elastic net (1:lasso [default], 0:ridge)
nfolds	number of folds for glmnet cross-validation
lambda.init	user provides initial lambda values
lambda.choice	1: use lambda.1se for LASSO, 2: use lambda.min for LASSO, a number between (0, 1): this will select a lambda according to (1-lambda.choice)*lambda.min + lambda.choice*lambda.1se
lambda.adjust.up	allow adjusting lambda (increase) by 50% in each iteration
lambda.adjust.down	allow adjusting lambda (decrease) by 50% in each iteration

Author(s)

Chenhao Li, Gerald Tan, Niranjan Nagarajan

lch14forever/BEEM-static documentation built on Sept. 5, 2021, 11:31 p.m.