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Organizations

@DeclareDesign @voteview

Pinned repositories

  1. KRLS

    R package for machine learning technique to fit flexible, interpretable functional forms for continuous and binary outcomes.

    R 14 2

  2. voteview/Rvoteview

    R package to query Voteview US roll call voting database

    R 21

  3. DeclareDesign/estimatr

    Fast Estimators for Design-Based Inference

    R 46 5

  4. colincookman/pakistan_candidate_scrutiny_18

    Candidate scrutiny information for Pakistan's 2018 elections

    R 2

  5. pakistan_polling_stations_2018

    Polling Station Scheme Data for Pakistan's 2018 General Elections

    HTML

1,270 contributions in the last year

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Contribution activity

November 2018

Created a pull request in DeclareDesign/estimatr that received 2 comments

Fix Tipton&Pustejovsky citation

+4 −2 2 comments

Created an issue in DeclareDesign/estimatr that received 2 comments

if `y` has no column names, `lm_robust_fit` fails to `tidy`

library(DeclareDesign) dat <- fabricate(N = 100, Z = complete_ra(N), Y = .9 * X + .2 * Z + rnorm(N)) fit <- lm_robust_fit( y = dat$Y, X = matrix(dat$Z

2 comments
37 contributions in private repositories Nov 1 – Nov 13

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