Joshua Bon

Results 4 issues of Joshua Bon

See code below located: https://turinglang.org/v0.28/tutorials/10-bayesian-differential-equations/#inference-of-a-stochastic-differential-equation and resulting output ``` model_sde = fitlv_sde(odedata, prob_sde) setadbackend(:forwarddiff) chain_sde = sample( model_sde, NUTS(0.25), 5000; init_params=[1.5, 1.3, 1.2, 2.7, 1.2, 0.12, 0.12], progress=false, ) plot(chain_sde)...

I'm not sure how to access to `icate` and `ite`... As far as I can tell `extract(model, type = "icate")` and `extract(model, type = "ite")` don't return the _individual_ treatment...

Is this behavior intended? MWE: ``` X = rand(1000, 2) y = X[:,1] + randn(1000) constraints = [-1 -1; Inf Inf] res = glmnetcv(X, y, constraints = constraints) ``` ```...

Great package, thanks for publishing. I think I have found problem in the `rng_wald` for very large `lambda`. I am getting zero and negative values from `rwald`, for example try...

improvement