loglik: Returns the log likelihood at the provided parameter and data...

In maryclare/feasRDS: Software Tools for

Description

Returns the log likelihood at the provided parameter and data values

Usage

loglik(pars, m, M, n, kYW, kYM, kOW, kOM, DYW, DYM, DOW, DOM, K)

Arguments

pars	Vector of starting values for estimating unknown parameters, vector must have names(pars) that identify the individual elements consistent with names(work[["start"]]), where the object work is output of the get.data function
m	Vector of sample sizes by gender, sexual identity and age group, vector must have names(m) that identify the individual elements consistent with names(work[["m"]]), where the object work is output of the get.data function
M	Vector of sample sizes by gender and age group, vector must have names(M) that identify the individual elements consistent with names(work[["M"]]), where the object work is output of the get.data function
n	4 by 3 matrix of sample mixing totals, matrix must have row.names(n) and column.names(n) that identify the individual elements consistent with names(work[["n"]]), where the object work is output of the get.data function
kYW	Vector of observed degree values in the sample for younger women, ordered from lowest to highest
kYM	Vector of observed degree values in the sample for younger men, ordered from lowest to highest
kOW	Vector of observed degree values in the sample for older women, ordered from lowest to highest
kOM	Vector of observed degree values in the sample for older men, ordered from lowest to highest
DYW	Vector of observed degree counts in the sample for younger women, ordered in increasing order of corresponding degree value
DYM	Vector of observed degree counts in the sample for younger men, ordered in increasing order of corresponding degree value
DOW	Vector of observed degree counts in the sample for older women, ordered in increasing order of corresponding degree value
DOM	Vector of observed degree counts in the sample for older men, ordered in increasing order of corresponding degree value
K	Degree value cutoff

Value

The log likelihood evaluated at the provided data and parameter values

maryclare/feasRDS documentation built on May 3, 2019, 5:19 p.m.