ynsxx Goto Github PK

brinla

Bayesian Regression with INLA

causal-inference-in-r

Causal Inference in R: A book!

causalinference2610

china_geojson

**行政区划地图数据(省、市、县)，geojson格式，可直接用于D3.js，Echarts.js可视化

cibookex-r

Causal Inference: What If. R and Stata code for Exercises

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

data-science-and-economics

学习笔记-机器学习与经济学

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

esir

Extended state-space SIR epidemiological models

geocompr

Forthcoming book on geographic data with R

geoda.github.io

GeoDa github webpage

gesttools

General Purpose g-Estimation for End of Study or Time-Varying Outcomes

gformula

The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

inla-resources

Resources and code for creating spatial and spatio-temporal models with R-INLA

inlautils

Utilities for INLA in R

intro2rspatialmed

lmtp

:package: Non-parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies :crystal_ball:

mapview

Interactive viewing of spatial data in R

mgwrsar

:exclamation: This is a read-only mirror of the CRAN R package repository. mgwrsar — GWR and MGWR with Spatial Autocorrelation

mmid

Mathematical Modelling of Infectious Diseases

pandoc

Universal markup converter

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

r-book-code

rethinking_2020_practice

Statistical Rethinking Solutions, 2nd edition 2020

seir-model-stockholm

Skattning av peakdag och antal infekterade i covid-19-utbrottet i Stockholms län februari-april 2020.

spatial

GIS and Spatial Analysis lecture notes

spatialepiapp

SpatialEpiApp

spatstat

Development version of 'spatstat' package ..............................

winterr_2017