goldingn Goto Github PK

.dotfiles

My dotfiles

act_failure_mapping_africa

adcomp

AD computation with Template Model Builder (TMB)

aestivation.manu.files.scripts

Files and code for reproducing our figures/analysis lab aestivation manuscript

ascertainment_redux

australia_covid_ascertainment

Estimating case ascertainment rates for COVID-19 in Australia

auto

my automated checks for R packages

bayes_ecology_course

materials for 2.5 day course on Bayesian Methods for Ecology in Auckland 6-8 November 2018

bayescomm

brap

Structured Branching Process Simulation

bu_hotspots

Mapping hotspots of Buruli Ulcer in the Mornington Peninsula

cfr_calculation

climatic_suit_malaria

cloglog_paper

code for the paper: The complementary log-log: a link function you can count on.

comix_covid-19-first_wave

Code and data from the analysis of the 1st wave of the CoMix 2020 contacts survey

contact_matrices_australia

Synthetic contact matrices for Australian subpopulations

covid-19-tracker

This is the data repository for the Imperial College London YouGov Covid 19 Behaviour Tracker Data Hub.

covid19-protectivethreshold

R codes for the article "Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection"

covid19.sgene.utla.rt

Local area reproduction numbers and S-gene target failure.

covid19_australia_interventions

Quantifying the impacts of public health interventions on transmission of COVID-19 in Australia

deconvolve

Repository for the R package 'deconvolve'

default

change the default arguments in R functions

dsdm_paper

a paper about demographic species distribution models

ebola-python-pipeline

ebola-spread

epinow

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

google-location-coronavirus

Data from Google's Covid-19 Mobility Report

gp_sdm_paper

analysis code for the paper "Fast and flexible Bayesian species distribution modelling using Gaussian processes"

gpe

Gaussian process everything - an R package to reimplement and combine common statistical models using GPs

gpflowr

:blossom: Gaussian processes in TensorFlow via R :blossom: