ml_fit: Fit an R Expression based Maximum Likelihood Model to Data

In poissonconsulting/ml: Maximum Likelihood Analysis using R Expressions

Description

Fit an R Expression based Maximum Likelihood Model to Data

Usage

ml_fit(expr, start, data)

Arguments

expr	A string of R code that evaluates to the log-likelihood.
start	An named list of the starting values for the parameter terms (coerced to an nlist object). Missing values are fixed at 0.
data	An named list or data frame of the data (coerced to an nlist object).

Value

A fitted ml_analysis object.

Examples

expr <- "sum(dnorm(len, mu, sigma, log = TRUE))"
start <- list(mu = 20, sigma = 8)
data <- datasets::ToothGrowth
analysis <- ml_fit(expr, start = start, data = data)
analysis

poissonconsulting/ml documentation built on Feb. 13, 2021, 5:18 p.m.