Package: misPRIME 0.1.0
Zishu Zhan
misPRIME: Partial Replacement Imputation Estimation for Missing Covariates
Partial Replacement Imputation Estimation (PRIME) can overcome problems caused by missing covariates in additive partially linear model. PRIME conducts imputation and regression simultaneously with known and unknown model structure. More details can be referred to Zishu Zhan, Xiangjie Li and Jingxiao Zhang. (2022) <arxiv:2205.14994>.
Authors:
misPRIME_0.1.0.tar.gz
misPRIME_0.1.0.tar.gz(r-4.5-noble)misPRIME_0.1.0.tar.gz(r-4.4-noble)
misPRIME_0.1.0.tgz(r-4.4-emscripten)misPRIME_0.1.0.tgz(r-4.3-emscripten)
misPRIME.pdf |misPRIME.html✨
misPRIME/json (API)
| # Install 'misPRIME' in R: |
| install.packages('misPRIME', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- PRIME_SimuData - Prime_SimuData An Example of Simulated Data for PRIME
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:caba371788. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
Exports:PRIME
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Partial Replacement IMputation Estimation (PRIME) for Missing Covariates | PRIME |
| prime_SimuData An Example of Simulated Data for PRIME | PRIME_SimuData |