Nafis Sadat sadatnfs
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| ## Makefile for downloading the source code and building | |
| ## a binary package of R-INLA on Debian:Stretch | |
| ## using a custom version of R and Intel MKL | |
| ## Intended for use by : Institute for Health Metrics and Evaluation | |
| ## | |
| ## Maintained by : Nafis Sadat, sadatnfs@uw.edu | |
| ## | |
| #### 2018/01/28 Update: removing r-mathlib and adding metis5 |
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| ## Makefile for downloading the source code and building | |
| ## a binary package of R-INLA on Debian/Buster | |
| ## using a custom version of R and Intel MKL | |
| ## Intended for use by : Institute for Health Metrics and Evaulation | |
| ## | |
| ## Maintained by : Nafis Sadat, sadatnfs@uw.edu | |
| ## | |
| ## Run 'make' with no arguments for usage instructions | |
| ## | |
| ## This Makefile has been tested under Debian GNU/Linux |
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| ################################################ | |
| ## Author : Nafis Sadat | |
| ## Purpose : Testing out Multiple Imputation with Amelia | |
| ## Created: Feb 13, 2018 | |
| ################################################ | |
sadatnfs
/ edward_RE_test_Iris.ipynb
Last active
April 9, 2018 22:08
Testing a random effect model in Edward
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sadatnfs
/ GPFlow_Coregion_example.ipynb
Created
April 14, 2018 00:39
Fit a Multiclass Gaussian Process Regression with a coregionalization kernel
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sadatnfs
/ GPFlow_Coregion_HEvars.ipynb
Last active
April 17, 2018 22:02
Fit a multidimensional GPR on a coregionalization based kernel (using health financing data)
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| ## Makefile for downloading the source code and building | |
| ## a binary package of R-INLA on Debian/Buster | |
| ## using a custom version of R and Intel MKL | |
| ## Intended for use by : Institute for Health Metrics and Evaulation | |
| ## | |
| ## Maintained by : Nafis Sadat, sadatnfs@uw.edu | |
| ## | |
| ## Run 'make' with no arguments for usage instructions | |
| ## | |
| ## This Makefile has been tested under Debian GNU/Linux |
sadatnfs
/ xarray_to_r.r
Last active
January 6, 2023 10:49
Extracting an xarray based netcdf file to use in R
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| require(ncdf4) | |
| require(ncdf4.helpers) | |
| require(data.table) | |
| ## Get the name of the value vars in the nc file | |
| get_nc_value_name <- function(nc_file) { | |
| ## Get names | |
| nc_obj <- nc_open(nc_file) | |
| name<-names(nc_obj$var) |
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| //////////////////////////////////////////////////////////////// | |
| // Author: Nafis Sadat | |
| // Purpose: Forecasting model base across countries, incorporating ARIMA components | |
| // Created: Sometime in 2017 | |
| //////////////////////////////////////////////////////////////// | |
| #include <TMB.hpp> | |
| #include <Eigen/Sparse> | |
| #include <vector> |
sadatnfs
/ GPR_mods.cpp
Created
June 14, 2018 16:10
1-D Gaussian Process Regression using various different methods in TMB
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| #include <TMB.hpp> | |
| #include <Eigen/Sparse> | |
| #include <vector> | |
| using namespace density; | |
| using Eigen::SparseMatrix; | |
| // helper function to make sparse SPDE precision matrix | |
| // Inputs: | |
| // logkappa: log(kappa) parameter value | |
| // logtau: log(tau) parameter value |
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