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Pakket: r-cran-estimatr (1.0.4-1) [debports]
Verwijzigingen voor r-cran-estimatr
Debian bronnen:
Het bronpakket downloaden:
Niet gevondenBeheerders:
Externe bronnen:
- Homepage [cran.r-project.org]
Vergelijkbare pakketten:
GNU R fast estimators for design-based inference
Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
Andere aan r-cran-estimatr gerelateerde pakketten
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- dep: libc6 (>= 2.29)
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
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- dep: libgcc-s2 (>= 4.2.1)
- GCC support bibliotheek
-
- dep: libstdc++6 (>= 13.1)
- GNU Standard C++ Library v3
-
- dep: r-api-4.0
- virtueel pakket geboden door r-base-core
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- dep: r-cran-formula
- GNU R package for extended model formulas
-
- dep: r-cran-generics
- GNU R common S3 generics not provided by base R methods
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- dep: r-cran-rcpp (>= 0.12.16)
- GNU R package for Seamless R and C++ Integration
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- dep: r-cran-rcppeigen
- GNU R package for Eigen templated linear algebra
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- dep: r-cran-rlang (>= 0.2.0)
- Functions for Base Types and Core R and 'Tidyverse' Features
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- rec: r-cran-aer
- Applied Econometrics with R
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- rec: r-cran-car
- GNU R Companion to Applied Regression by John Fox
-
- rec: r-cran-clubsandwich
- GNU R cluster-robust (Sandwich) variance estimators with small-sample
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- rec: r-cran-emmeans (>= 1.4)
- GNU R estimated marginal means, aka least-squares means
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- rec: r-cran-estimability
- GNU R package providing tools for determining estimability of linear functions
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- rec: r-cran-prediction
- GNU R tidy, type-safe 'prediction()' methods
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- rec: r-cran-sandwich
- GNU R package for model-robust standard error estimates
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- rec: r-cran-testthat
- GNU R testsuite