Package: ILSAstats 0.3.7
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Andrés Christiansen
ILSAstats: Statistics for International Large-Scale Assessments (ILSA)
Calculates point estimates and standard errors using replicate weights and plausible values for International Large-Scale Assessments (ILSA), including: means, proportions, quantiles, correlations, singlelevel regressions, and multilevel regressions.
Authors:
ILSAstats_0.3.7.tar.gz
ILSAstats_0.3.7.tar.gz(r-4.5-noble)ILSAstats_0.3.7.tar.gz(r-4.4-noble)
ILSAstats_0.3.7.tgz(r-4.4-emscripten)ILSAstats_0.3.7.tgz(r-4.3-emscripten)
ILSAstats.pdf |ILSAstats.html✨
ILSAstats/json (API)
# Install 'ILSAstats' in R: |
install.packages('ILSAstats', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- repdata - Simulated data with 5000 cases
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 hours agofrom:fbadd3e007. Checks:2 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 21 2025 |
R-4.5-linux | OK | Feb 21 2025 |
Exports:centergetgroup.meangrand.meangroup.meanicclmerPVpvserepcreaterepglmreplmrepmeanrepmeandifrepproprepquantreprhorepserepsecomprepsetupWeMixPV
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Centering | center getgroup.mean grand.mean group.mean |
Intraclass Correlation Coefficient | icc |
Linear Mixed-Models with Plausible Values | lmerPV |
Creation of Replicate Weights | repcreate |
Simulated data with 5000 cases | repdata |
Generalized Linear Models with Replicate Weights | repglm |
Linear Models with Replicate Weights | replm |
Mean, Variance and Standard Deviation with Replicate Weights | repmean |
Mean Difference of Independent Samples with Replicate Weights | repmeandif |
Proportions with Replicate Weights | repprop |
Quantiles with Replicate Weights | repquant |
Correlations with Replicate Weights | reprho |
Standard Error for Estimates with Replicate Weights and Plausible Values | pvse repse repsecomp |
Setup for Analysis with Replicate Weights | repsetup |
Survey Weighted Mixed-Effects Models with Plausible Values | WeMixPV |