MAINT.Data (version 0.5.1)

mle-methods: Methods for Function mle in Package `MAINT.Data'

Description

Performs maximum likelihood estimation for different distributions

Usage

mle(Idt,Model="Normal",Config=1:5,SelCrit=c("AIC","BIC"))

Arguments

Idt

An IData object representing NObs interval-valued entities.

Model

The joint distribution assumed for the MidPoint and LogRanges; currently, only Gaussian (Normal) distributions are implemented

Config

Configuration of the variance-covariance matrix: a vector of integers between 1 and 5

SelCrit

The model selection criterion

Value

Methods

signature(Idt = "IData")

Performs maximum likelihood estimation for interval-valued data, considering different distributions, and alternative variance-covariance matrix configurations

See Also

IdtSngDE

Examples

# Create an Interval-Data object containing the intervals for 899 observations 
# on the temperatures by quarter in 60 Chinese meteorological stations.

ChinaT <- IData(ChinaTemp[1:8])

# Estimate parameters by maximum likelihood, assuming that 
# one of C3, C4 or C5 restricted configurations holds
ChinaE <- mle(ChinaT,Config=3:5)
cat("China maximum likelhiood estimation results =\n") ; print(ChinaE)
cat("Standard Errors of Estimators:\n") ; print(stdEr(ChinaE))