get_preds: Produce predictions for Poisson model

In daniel-conn17/scRNAzirf: This package uses random forests to fit zero-inflated count data

Description

Takes two design matrices and coefficients and produces predicted values.

Usage

get_preds(beta, xi, X, Z, type = "count", add_intercept = T)

Arguments

beta	Count model coefficients
xi	Zero-inflation model coefficients
X	Count model design matrix
Z	Zero-inflation model design matrix
type	Type of prediction to return
add_intercept	Should intercept be added to X and Z

Value

A vector of predictions

daniel-conn17/scRNAzirf documentation built on Dec. 19, 2021, 8:05 p.m.