ihmeuw-msca/CorrelatedCounts ihmeuw-msca/CorrelatedCounts

  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
    Python
  • License
    MIT License
  • Created about 5 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
ihmeuw-msca/CorrelatedCounts
github

ihmeuw-msca

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Modeling correlated count data

More Repositories

1

CurveFit

Generic curve fitting package with nonlinear mixed effects model
Python
192
star
2

burden-of-proof

Time capsule for burden of proof paper
R
7
star
3

xspline

Advanced spline package
Python
5
star
4

regmod

General regression models.
Python
4
star
5

weighted-average

Smooth data across multiple dimensions using weighted averages
Python
3
star
6

anml

A Nonlinear Modeling Library (ANML)
Python
3
star
7

crosswalk

Crosswalk with network analysis
Python
2
star
8

emmodel

Excess mortality model
Python
2
star
9

sfma

Stochastic Frontier Meta-Analysis
Jupyter Notebook
2
star
10

mrtool

Featured Nonlinear Mixed effects Models
Python
2
star
11

ODEOPT

Optimization-based solver for ODE Parameter Inference
Python
2
star
12

mrtoolr

R
2
star
13

SLIME

Python
1
star
14

distrx

Distribution transformation
Python
1
star
15

underreporting

Tutorials for modeling under-reported count data with the Pogit (Poisson-Logit) model
Jupyter Notebook
1
star
16

modrover

Model Space Explorer
Python
1
star
17

bopforge

Pipelines for Burden of Proof (BoP) analyses
Python
1
star
18

pyDisagg

Python
1
star
19

ihme-math-utils

Mathematical and Statistical Utility Functions used for IHME-UW Projects
Python
1
star
20

Survival

Survival analysis related the mortality/incidence ratio.
Python
1
star