v0.2.4

• Changed the maintainer to @boyuren158
• Updated arXiv link in all files to be compatible with CRAN style

v0.2.3

• estimate_cerf_nngp takes outcome_col, treatment_col, and covariates_col names as inputs.
• estimate_cerf_gp takes outcome_col, treatment_col, and covariates_col names as inputs.
• estimate_cerf_gp and estimate_cerf_nngp have notes on selecting w.

v0.2.2

• Addressed CRAN comment regarding fixing a typo in documentation.

v0.2.1

• Updated the C++ default version to resolve CRAN notes (from C++11 to C++17).
• Enhanced internal logging with more detailed messages.
• Incorporated the wCorr package for calculating weighted covariance balance.
• Renamed the 'train_gps' function to 'estimate_gps'.
• Improved the summary function for S3 objects.

v0.2.0

• estimate_noise_nn now allows for parallelization with an added argument nthread for the number of CPUs used in parallel.
• estimate_mean_sd_nn now only computes the posterior variance.
• find_optimal_nn now returns the posterior mean and covariate balance for the optimal hyper-parameter values.
• Add an argument kernel_fn to all nn related functions to allow for user-defined kernel functions.
• Add an argument formula to all nn related functions to allow for user-defined design matrix.
• find_optimal_nn becomes an internal function.
• estimate_noise_gp and estimate_noise_nn become internal functions.
• estimate_mean_sd_nn becomes an internal function.
• compute_weight_gp becomes an internal function.
• compute_w_corr accepts w and confounders separately. It also normalizes w internally.
• compute_posterior_sd_nn becomes an internal function.
• compute_posterior_m_nn becomes an internal function.
• compute_derive_weights_gp becomes an internal function.
• compute_m_sigma becomes an internal function.
• compute_inverse becomes an internal function.
• In compute_m_sigma, tuning option does not have a default value.
• train_gps does not have default values.
• train_gps accepts vector of the SuperLearner package's libraries.
• train_GPS -> train_gps

v0.1.0

First CRAN release.

v0.0.2

All functions added to the package. However, have not been optimized.

Pre-alpha v 0.0.1

Refactored code of full gaussian process

Added the following functions with unittests and examples.

• esimtate_cerf_gp
• compute_m_sigma
• compute_inverse
• compute_weight_gp