sse: Sum of squared differences between desired targets and...

In donboyd5/microweight: Tools for Weighting Microdata Files

Description

sse calculates sum of squared differences

Usage

sse(betavec, wh, xmat, targets, dweights = NULL)

Arguments

betavec	vector parameters to poisson model, length s * k (see h, s, k definitions below)
wh	vector of household total weights, length h
xmat	h x k matrix of data for households
targets	s x k matrix of desired target values
dweights	optional length s * k vector of weights to multiply the vector of targets

Details

h

number of households (or individuals, records, tax returns, etc.)

s

number of states (or other geographies or subgroups)

k

number of characteristics each household has

Value

scalar: sum of squared differences

Examples

p <- make_problem(h=10, s=3, k=2)
dw <- get_dweights(p$targets)
betavec <- rep(0, p$s * p$k)
sse(betavec, p$wh, p$xmat, p$targets, dw)

donboyd5/microweight documentation built on Aug. 17, 2020, 4:48 p.m.