lemna Goto Github PK

brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

broom

Convert statistical analysis objects from R into tidy format

codename

Codename Generation for Organizations, People, Projects, and Whatever Else

comorbidities.icd10

Comorbidities calculator for R using ICD-9 and ICD-10 based scores

coronavirus_dashboard

The Coronavirus dashboard: the case of Belgium.

decomp

dothis

A very basic "To Do" List for Rstudio

drc

Fitting dose-response models in R

gmisc

An R package for table creating, plotting and more

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

htmltable

An R package for generating advanced tables

likert

Package to analyze likert based items.

nada

:exclamation: This is a read-only mirror of the CRAN R package repository. NADA — Nondetects and Data Analysis for Environmental Data

nlpintro

pandoc

Universal markup converter

statsspell

survhe

Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective. For a selected range of models, both Integrated Nested Laplace Integration (via the R package INLA) and Hamiltonian Monte Carlo (via the R package rstan) are possible. HMC models are pre-compiled so that they can run in a very efficient and fast way. In addition to model fitting, survHE provides a set of specialised functions, for example to perform Probabilistic Sensitivity Analysis, export the results of the modelling to a spreadsheet, plotting survival curves and uncertainty around the mean estimates.

survminer

Survival Analysis and Visualization

trellor

R API for Trello

ugir

some code snippets