wkmor1

plot.vc <- 
function (model, comps, ylabs) {
  vc <- matrix(F, ncol=5, nrow=length(comps))
  row.names(vc) <- comps
  for (i in comps) {
    vc[i, ] <- quantile(
      eval(parse(text=sprintf('model$BUGSoutput$sims.list$%s', i))), 
      prob = c(0.025, 0.1587, .5, 0.8413, 0.975))
  }
  plot.new()

wkmor1

rasterToKML <- function(x, out='Rgrid', png=FALSE, name=out, proj="+proj=longlat") {
  require(raster)
  require(maptools)
  require(rgdal)
  require(rgeos)
  x <- raster(x)
  SG <- as(x, 'SpatialGridDataFrame')
  proj4string(SG) <- CRS(proj)
  SG <- GE_SpatialGrid(SG)
  if(png) png <- sprintf('%s.png', out) else png <- tempfile()

wkmor1

#' Convert doi to bibtex
#'
#' Convert a digital object identifier (doi) string into a bibtex entry using the
#' webserice \link{http://www.doi2bib.org}.
#'
#' @param doi The character  string of the doi.
#'
#' @return a bibtex entry as a character string.
#'
#' @importFrom httr accept content GET

wkmor1

#devtools::install_github("wkmor1/msmod")
library(msmod) # for eucs dataset
library(lme4)
library(greta)
sc = function(x) scale(x)[, 1] / 2 # center and scale covariates by 2 sds

# Fit glmer model
m_glmer = glmer(
  present ~ sc(logit_rock) + (1 + sc(logit_rock) | species),
  data = eucs, family = stats::binomial

wkmor1

GPU enabled docker on Ubuntu

Check host is running at least Ubuntu 16.04

$ cat /etc/issue
Ubuntu 16.04 LTS \n \l

Check host has CUDA capable card with compute capability 3.0 or higher