Statistical Simulation in R
 Posted:
 Proposals: 3
 Remote
 #96292
 Archived
Description
Experience Level: Expert
hello! in general, the goal of this project is to develop a simulation in the R programming statistical environment to investigate the assumptions that drive mixedeffects/random coefficients/multilevel/hierarchical linear models (so many names to describe the same thing).
in the ideal setting, the user should be able to specify:
 the number of simulation runs (as expected)
 the sample size
 the regression coefficients (so one can specify them and see if violations of the assumptions biases them)
 the intraclass or intracluster or intragroup correlation coefficient (again many names for the same concept)
 the probability distribution of the residuals/errors (they are always assumed to be multivariate normal. one should be ablet to change that to other skewed distributions and whatnot)
the analysis would ideally be done in the R package lme4, but if you are only familiar with nlme we can accommodate that.
my ideal candidate for this project would be a statistician/mathematician, economist or a quantitative methodologist with a very good knowledge of R, and who is also familiar with mixedeffects/randomcoefficients/multilevel/heirarchical linear models. i consider myself to be an intermediatelevel R user (i have ran my own simulations, albeit simpler) with a fair ammount of statistics under my belt, so i can communicate efficiently and know very clearly what i need.
a wellcommented code is a *must*, since i also want to understand how things are done.
i have access to a sizeable grant so, ideally, this would be the first of a long line of simulations ideally, i hope to find someone (or a group of people) who i can give several simulation projects to work on during the year.
i sincerely appreciate your time!
 Adam
in the ideal setting, the user should be able to specify:
 the number of simulation runs (as expected)
 the sample size
 the regression coefficients (so one can specify them and see if violations of the assumptions biases them)
 the intraclass or intracluster or intragroup correlation coefficient (again many names for the same concept)
 the probability distribution of the residuals/errors (they are always assumed to be multivariate normal. one should be ablet to change that to other skewed distributions and whatnot)
the analysis would ideally be done in the R package lme4, but if you are only familiar with nlme we can accommodate that.
my ideal candidate for this project would be a statistician/mathematician, economist or a quantitative methodologist with a very good knowledge of R, and who is also familiar with mixedeffects/randomcoefficients/multilevel/heirarchical linear models. i consider myself to be an intermediatelevel R user (i have ran my own simulations, albeit simpler) with a fair ammount of statistics under my belt, so i can communicate efficiently and know very clearly what i need.
a wellcommented code is a *must*, since i also want to understand how things are done.
i have access to a sizeable grant so, ideally, this would be the first of a long line of simulations ideally, i hope to find someone (or a group of people) who i can give several simulation projects to work on during the year.
i sincerely appreciate your time!
 Adam
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