caojiguo / FDAcourse2019
Slides and R codes for Functional Data Analysis Course
☆87Updated 5 years ago
Alternatives and similar repositories for FDAcourse2019:
Users that are interested in FDAcourse2019 are comparing it to the libraries listed below
- DoubleML - Double Machine Learning in R☆136Updated last month
- Testing version of fdapace☆31Updated 6 months ago
- The msm R package for continuous-time multi-state modelling of panel data☆59Updated 2 months ago
- Short course on dimension reduction for AMSI☆35Updated 2 years ago
- Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.☆133Updated last month
- R package for statistical inference using partially observed Markov processes☆114Updated this week
- Implementing MCMC sampling from scratch in R for various Bayesian models☆105Updated last year
- Bayesian Causal Forests☆41Updated 8 months ago
- maple: Model averaged projections of life expectancy☆16Updated 5 years ago
- Causal Inference: What If. R and Stata code for Exercises☆89Updated last week
- Penalized Quantile Regression☆16Updated 2 months ago
- Regularization paths for SCAD- and MCP-penalized regression models☆42Updated 3 weeks ago
- WeightIt: an R package for propensity score weighting☆106Updated last week
- Repository for Introduction to Bayesian Estimation of Causal Effects☆58Updated 4 years ago
- A large set of JAGS examples using R☆93Updated last year
- Semiparametric Bayesian Inference for the Transmission Dynamics of COVID-19 with a State-Space Model☆9Updated 4 years ago
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆19Updated this week
- Matrix Completion Methods for Causal Panel Data Models☆96Updated 3 years ago
- An R modeling language for convex optimization problems.☆206Updated 2 months ago
- R package to perform Bayesian regularization using Stan.☆25Updated 2 years ago
- Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors …☆51Updated 2 months ago
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 5 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated last month
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆161Updated 3 months ago
- Flexible Imputation of Missing Data - bookdown source☆48Updated 5 months ago
- ☆93Updated last year
- Time Series Analysis for the State-Space Model with R/Stan☆24Updated 3 years ago
- ☆40Updated last year
- R Package for data driven SVAR identification of impulse response functions☆45Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆29Updated 2 months ago