Re: [R] Variance Component/ICC Confidence Intervals via Bootstrap or Jackknife

2006-10-29 Thread Spencer Graves
Rick Bilonick wrote: > On Sun, 2006-10-29 at 11:06 -0800, Spencer Graves wrote: > >> I can think of two ways to get confidence intervals on intraclass >> correlations (ICCs) and more accurate intervals for variance >> >> >> > > > > The way I've done the bootstrapping

Re: [R] Variance Component/ICC Confidence Intervals via Bootstrap or Jackknife

2006-10-29 Thread Rick Bilonick
On Sun, 2006-10-29 at 11:06 -0800, Spencer Graves wrote: > I can think of two ways to get confidence intervals on intraclass > correlations (ICCs) and more accurate intervals for variance > components: (1) modifying 'simulate.lme' to store the estimated > variance components as well as "l

Re: [R] Variance Component/ICC Confidence Intervals via Bootstrap or Jackknife

2006-10-29 Thread Spencer Graves
I can think of two ways to get confidence intervals on intraclass correlations (ICCs) and more accurate intervals for variance components: (1) modifying 'simulate.lme' to store the estimated variance components as well as "logLik" and (2) using 'lmer' and 'mcmcsamp' in library(lme4).

[R] Variance Component/ICC Confidence Intervals via Bootstrap or Jackknife

2006-10-24 Thread Rick Bilonick
I'm using the lme function in nmle to estimate the variance components of a fully nested two-level model: Y_ijk = mu + a_i + b_j(i) + e_k(j(i)) lme computes estimates of the variances for a, b, and e, call them v_a, v_b, and v_e, and I can use the intervals function to get confidence intervals. M