Paket: r-cran-estimatr (1.0.4-1) [debports]

[ Kaynak:  ]

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>.

r-cran-estimatr ile İlgili Diğer Paketler

• dep: libc6.1 (>= 2.29)

  GNU C Library: Shared libraries
  ayrıca şunun tarafından sağlanan bir sanal paket libc6.1-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC support library

• dep: libstdc++6 (>= 13.1)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  sanal paketi sağlayan r-base-core

• 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

• dep: r-cran-rcpp (>= 0.12.16)

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-rcppeigen

  GNU R package for Eigen templated linear algebra

• dep: r-cran-rlang (>= 0.2.0)

  Functions for Base Types and Core R and 'Tidyverse' Features

• rec: r-cran-aer

  Applied Econometrics with R

• 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

• rec: r-cran-emmeans (>= 1.4)

  GNU R estimated marginal means, aka least-squares means

• rec: r-cran-estimability

  GNU R package providing tools for determining estimability of linear functions

• rec: r-cran-prediction

  GNU R tidy, type-safe 'prediction()' methods

• rec: r-cran-sandwich

  GNU R package for model-robust standard error estimates

• rec: r-cran-testthat

  GNU R testsuite

r-cran-estimatr indir

Tüm mevcut mimariler için indir

Mimari	Paket Boyutu	Kurulu Boyut	Dosyalar
alpha (resmi olmayan port)	446,6 kB	931,0 kB	[dosya listesi]