ljr1: MLE with 1 joinpoint

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/ljr1.R

Description

Determines the maximum likelihood estimates of model coefficients in the logistic joinpoint regression model with one joinpoint.

Usage

1
ljr1(y,n,tm,X,ofst,summ=TRUE)

Arguments

y

the vector of Binomial responses.

n

the vector of sizes for the Binomial random variables.

tm

the vector of ordered observation times.

X

a design matrix containing other covariates.

ofst

a vector of known offsets for the logit of the response.

summ

a boolean indicator of whether summary tables should be returned.

Details

The re-weighted log-likelihood is the log-likelihood divided by the largest component of n.

Value

Coef

A table of coefficient estimates.

Joinpoint

The estimate of the joinpoint.

wlik

The maximum value of the re-weighted log-likelihood.

Author(s)

The authors are Michal Czajkowski, Ryan Gill, and Greg Rempala. The software is maintained by Ryan Gill [email protected].

References

Czajkowski, M., Gill, R. and Rempala, G. (2008). Model selection in logistic joinpoint regression with applications to analyzing cohort mortality patterns. Statistics in Medicine 27, 1508-1526.

See Also

ljr01,ljrb,ljrf

Examples

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2
3
 data(kcm)
 attach(kcm)
 ljr1(Count,Population,Year+.5)

ljr documentation built on May 29, 2017, 10:22 a.m.