Posts Tagged ‘ nlm ’

Marketing optimization using the nonlinear minimization function nlm

July 28, 2011

Guest post by Bob Agnew ([email protected]) —————- Introduction Marketing optimization consists of assigning offers to prospects in order to maximize total expected profit subject to a few general linear constraints and the requirement that a prospect receives at most one offer.  What distinguishes these problems is their sheer size.  With millions of prospects, brute force linear solvers are unsuitable. ...

Read more »

nlm [unused argument(s) (iter = 1)]

December 28, 2010
nlm [unused argument(s) (iter = 1)]

Ashley put the following comment on Chapter 5 of Introducing Monte Carlo Methods with R”: I am reading chapter 5. I try to reproduced the result on page 128. The R codes don’t work on my laptop. When I try to run the following codes on page 128 > for (i in 1:(nlm(like,sta)$it)){ + mmu=rbind(mmu,nlm(like,sta,iter=i)$est)}

Read more »


Mango solutions

plotly webpage

dominolab webpage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training




CRC R books series

Six Sigma Online Training

Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)