A motion chart webpage with Quality of Governance data
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
仓库
christophergandrud 的仓库
An R package for the Quantitative Analysis of Textual Data
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
MCP to check R packages for CRAN submission
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
PyTorch bindings for R
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
randomForestCI
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
Faster ways to read data
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
A simple examination of whether journal metrics can predict REF 2014 Output GPAs in IR/Political Science
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
Complete examples from Reproducible Research with R and RStudio [Third Edition]
(6 stars) (6 forks) (0 个已索引 issue) (0 个开放 good first issue)
Miscellaneous tools for reproducible research with R.
(23 stars) (9 forks) (0 个已索引 issue) (0 个开放 good first issue)
scqe Stability controlled quasi-experiment
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
(1 star) (1 fork) (0 个已索引 issue) (0 个开放 good first issue)
R package to perform the sensitivity analysis by the proportion of unmeasured confounding.
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
A one function package that checks loads R packages, installing them first if they are missing
(0 stars) (1 fork) (0 个已索引 issue) (0 个开放 good first issue)
Simulate and Plot Quantities of Interest from Generalised Linear Models
(2 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
Tools for simulating and graphing results from proportional hazards survival models.
(14 stars) (6 forks) (0 个已索引 issue) (0 个开放 good first issue)
Documentation for the simPH R package.
(2 stars) (1 fork) (0 个已索引 issue) (0 个开放 good first issue)
Simple Functions for Setting Up An R Source Code File For Use on Multiple Machines
(1 star) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
Tools for simulating and graphing time-varying coefficients.
(1 star) (1 fork) (0 个已索引 issue) (0 个开放 good first issue)
Calculate spatial weights for time-series cross-sectional data and report spatial clustering test statistics
(5 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
Python package for finding statistics (e.g. mean and variance) using batch updating
(2 stars) (3 forks) (0 个已索引 issue) (0 个开放 good first issue)