amse: aMSE

In MatthewGrigsby/growthmetrics: Tools for applying statistic modelling and comparison techniques developed by researchers at HBGDKi and the Johns Hopkins University Center for Global NCD Research and Training

Description

Function for calculating age-stratified subject-specific mean squared error

Usage

amse(observed = "observed", predicted = "pred", id.var = "id",
  time.var = "time", breaks = c(0, 6, 12, 18, 24), data)

Arguments

observed	observed growth values (e.g. height or weight)
predicted	predicted values from models fitted to observed data
id.var	variable that identifies individual subjects
time.var	time variable (e.g. age)
breaks	vector indicating location of age cutoffs for calculating MSE per group (default is in months)

Value

data.frame with id, time group, and subject-specific MSE estimates

References

Grigsby MR, Di J, Leroux A, Zipunnikov V, Xiao L, Crainiceanu C, Checkley W. Novel metrics for growth model selection. Emerging themes in epidemiology. 2018 Feb;15(1):4.

MatthewGrigsby/growthmetrics documentation built on May 25, 2019, 8:29 p.m.