dceoy

// [[Rcpp::plugins("cpp11")]]
#include <Rcpp.h>
using namespace Rcpp;

double bf(NumericVector v, int n) {
  int h = sum(rbeta(n, 1 + v[0], 1 + v[1]) > rbeta(n, 1 + v[2], 1 + v[3]));

  if (h == n) {
    return R_PosInf;
  } else {

dceoy

#!/usr/bin/env bash

wget -q -O - https://bintray.com/user/downloadSubjectPublicKey?username=bintray | sudo apt-key add -
echo 'deb http://dl.bintray.com/rundeck/rundeck-deb /' | sudo tee -a /etc/apt/sources.list.d/rundeck.list 
echo 'deb-src http://dl.bintray.com/rundeck/rundeck-deb /' | sudo tee -a /etc/apt/sources.list.d/rundeck.list
sudo apt-get -y update
sudo apt-get -y install rundeck

dceoy

#!/usr/bin/env bash
#
# # Mount vboxsf
# $ sudo mount -t vboxsf vbox ~/synced

set -uex

v=$(curl http://download.virtualbox.org/virtualbox/LATEST.TXT)
curl http://download.virtualbox.org/virtualbox/${v}/VBoxGuestAdditions_${v}.iso -o /tmp/vbga.iso
sudo mount -t iso9660 /tmp/vbga.iso /mnt/

dceoy

python setup.py bdist_wheel
twine upload dist/*.whl

dceoy

#!/usr/bin/env python

import io
import os
import pandas as pd


def read_vcf(path):
    with open(path, 'r') as f:
        lines = [l for l in f if not l.startswith('##')]

dceoy

#!/usr/bin/env bash
#
# Usage:
#   ./download_pkg.sh \
#     --py-pkg ./py_requirements.txt \
#     --r-pkg ./r_requirements.txt \
#     --py-dir ./src/py \
#     --r-dir ./src/r
#
# Options:

dceoy

---
version: '3'

services:
  hugo:
    container_name: hugo
    image: dceoy/hugo:latest
    user: ${UID}:${GID}
    ports:
      - 1313:1313

dceoy

defaults write com.apple.desktopservices DSDontWriteNetworkStores True

dceoy

#!/usr/bin/env Rscript

if(length(argv <- commandArgs(trailingOnly = TRUE)) > 0) {
  install.packages(pkgs = argv,
                   repos = c(CRAN = 'https://cran.rstudio.com/'),
                   dependencies = TRUE)
} else {
  message('Nothig to do.')
}

dceoy

#!/usr/bin/env python

import numpy as np
from scipy import stats


class HotellingsT2(object):
    def __init__(self, alpha):
        self.anomaly_score_threshold = stats.chi2.ppf(q=(1 - alpha), df=1)