Maybe an issue: should `convolve` use `x[Near(t-ll), :]`? about blues.jl

[b-r-hamilton]

suggested fix - add a conditional that only computes the above line if t-ll <= x.dims[1][1]
I tried this out in a commit that's in the attached branch

[b-r-hamilton]

Okay, new update. The conditional should actually be t - ll >= t1 - 2*unit.(t1). The 2 is because, for our lagged M matrix, at t = 1yr, the values are 0, and we want to actually have values for the first row of our E matrix.

[b-r-hamilton]

Okay, I think this is my final opinion on this. Except I'm now wondering if this is moot because we shouldn't be subsampling M.
But, for what it's worth it, I think the right conditional is

    xtime = x.dims[1]
    return sum([E[At(ll),:] ⋅ x[At(t-ll),:] for (ii,ll) in enumerate(lags) if t-ll in xtime])