{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"binsreg","owner":"nppackages","isFork":false,"description":"Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.","allTopics":[],"primaryLanguage":{"name":"Stata","color":"#1a5f91"},"pullRequestCount":0,"issueCount":0,"starsCount":36,"forksCount":16,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-23T15:50:07.321Z"}},{"type":"Public","name":"nppackages.github.io","owner":"nppackages","isFork":false,"description":"Software packages for nonparametric and semiparametric smoothing methods with application to causal inference, treatment effect and program evaluation estimation and inference.","allTopics":[],"primaryLanguage":{"name":"CSS","color":"#563d7c"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-30T13:40:32.232Z"}},{"type":"Public","name":"lpcde","owner":"nppackages","isFork":false,"description":" R implementation of bandwidth selection, point estimation and inference procedures for local polynomial conditional distribution and density methods.","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-10T22:38:50.043Z"}},{"type":"Public","name":"scpi","owner":"nppackages","isFork":false,"description":"Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.","allTopics":["r","stata","synthetic-control","prediction-intervals","python"],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":29,"forksCount":10,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-14T11:22:45.616Z"}},{"type":"Public","name":"lpdensity","owner":"nppackages","isFork":false,"description":"Estimation and inference using local polynomial distribution/density regression methods.","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-05-15T18:06:45.290Z"}},{"type":"Public","name":"nprobust","owner":"nppackages","isFork":false,"description":"Estimation and inference using kernel density and local polynomial regression methods.","allTopics":[],"primaryLanguage":{"name":"Stata","color":"#1a5f91"},"pullRequestCount":0,"issueCount":1,"starsCount":1,"forksCount":3,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-19T13:57:53.023Z"}},{"type":"Public","name":"lspartition","owner":"nppackages","isFork":false,"description":"Estimation and inference using partitioning-based least squares methods, including B-splines, wavelet and piecewise polynomial regression estimators.","allTopics":[],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":1,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-05-25T17:10:15.739Z"}},{"type":"Public","name":"portsort","owner":"nppackages","isFork":false,"description":"","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-07-29T15:29:40.335Z"}}],"repositoryCount":8,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"nppackages repositories"}