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govdoc-cr-analysis/mlm/contributing_did_model_fit.R
2025-02-02 12:16:42 -08:00

25 lines
908 B
R

library(dplyr)
library(lubridate)
library(rdd)
contributing_df_filepath <- "/mmfs1/gscratch/comdata/users/mjilg/govdoc-cr-data/final_data/CONTRIBUTING_weekly_count_data.csv"
contributing_df = read.csv(contributing_df_filepath, header = TRUE)
window_num <- 5
contributing_df <- contributing_df |>
filter(week_index >= (- window_num) & week_index <= (window_num)) |>
mutate(scaled_age = scale(age)) |>
mutate(scaled_age_at_commit = scale(age_at_commit))|>
mutate(log1p_count = log1p(commit_count))
library(lme4)
library(optimx)
library(lattice)
all_gmodel <- glmer.nb(log1p_count ~ before_after * week_index + scaled_age + (before_after * week_index | project_id),
control=glmerControl(optimizer="bobyqa",
optCtrl=list(maxfun=2e5)), nAGQ=0,
data=contributing_df)
summary(all_gmodel)