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We have a working version for visualising results even for multivariate input data. The quality of these visualisations currently deteriorates as the dimensionality of the input data increases. It wou…
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Hi,
Apologies if this is not the right place to ask/request this functionality. I have been exploring the code of `statsmodels` to learn whether this (fantastic!) piece of software includes **conti…
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In GAP there is a function `ExtRepOfObj` which can be applied to many kinds of objects: words of fp groups, elements of f.d. algebras or Lie algebra, polynomials¹ etc.) and which turns that into a "ba…
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The current implementation only allows for single-variable time series. Research and implement how multivariable data may be included.
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Hi Dr. Burt
Thanks for this software, it's been super helpful to me so far. I have two questions:
1) I have some multivariate data that I'm interested in generating random samples from. I beli…
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There does not seem to be an obvious mechanism to define random vectors in a DAG, for example, to use in a multivariate regression. Is there an option/ability to apply dag_plate to index over the X_i'…
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### Title
Psy2R - an R package for better inference in multivariate statistical analysis
### Short description and the goals for the OHBM BrainHack
We consistently use massive datasets across neuro…
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When customers submit a daily forecast, no matter what, we force the lag_periods to be a fixed value in multivariate_prep_recipe_2:
``` r
lag_periods_r2
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reproduce this functionality from RevBayes:
data
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Having implemented an approach to support cohort- and study period-level longitudinal multivariate analysis, i.e., by allowing users to select `year` (i.e., study period) as an input feature in a mult…