CausalGPS 0.2.6 (2021-09-03)

Added

• added the status of optimized compile to generate_psuedo_pop function output.
• compute_closest_wgps accepts the number of user-defined threads.

Changed

• Vignette file names.
• The trim condition from > and < into >= and <=.
• Removed seed input from generate_syn_data function. In R package, setting seed value inside function is not recommended. Users can set the seed before using the function.
• OpenMP uses user defined number of cores.

Fixed

• Initial covariate balance for weighted approach. The counter column was not preallocated correctly.
• Counter value for compiling. The initial value was set to one, which, however, zero is the correct one.
• Private variable issue with OpenMP.
• Fixed OpenMP option on macOS checks.

Removed

CausalGPS 0.2.5 (2021-07-23)

Changed

• User needs to activate the logger

Fixed

• CRAN package URLs are in canonical forms.

CausalGPS 0.2.4 (2021-07-11)

Added

• OpenMP for Rcpp code
• optimized_compile
• log_system_info()
• Frequently asked questions
• logo

Changed

• estimate_gps.Rmd
• estimate_semi_erf -> estimate_semipmetric_erf
• estimate_erf -> estimate_npmetric_erf
• estimate_hr -> estimate_pmetric_erf
• gen_pseudo_pop -> generate_pseudo_pop
• gen_syn_data -> generate_syn_data
• estimate_erf accepts counter as an input
• estimate_erf can use multiple cores
• generating_pseudo_population.Rmd
• estimate_erf function description
• estimate_hr function description
• estimate_semi_erf function description
• compute_risk function description and return value
• outcome_models.Rmd
• generate_synthetic_data.Rmd

Fixed

• Rcpp parLapply worker processors arguments

Removed

• running_appr

CausalGPS 0.2.3 (2021-05-12)

Fixed

• Fixed documentations

CausalGPS 0.2.2 (2021-05-12)

Added

• estimate_semi_erf
• estimate_hr

Changed

• Package name: GPSmatching –> CausalGPS

GPSmatching 0.2.1 (2021-04-23)

Added

• User defined bin sequence in compiling speudo population.
• Non-parametric option for estimating GPS.
• Adaptive approach to transform features in training sessions.
• Cpp code for computing pair of w and GPS.
• set_logger function.
• Customized wrapper for ranger package.
• Extended plot function for gen_pseudo_pop object (plot.R).
• Extended plot function for estimate_erf object (plot.R).
• Extended print function for estimate_erf object (print.R).
• test-estimate_erf.R.
• create_weighting.R.
• Steps for adding test data into ‘sysdata.rda’.
• weighting option as causal inference approach.
  
• absolute_weighted_corr_fun.R
• Testing and running example guidelines for developers
• Customized wrapper for xgboost package.
• param as an argument to accept hyperparameters from users.

Changed

• R dependency 2.7 –> 3.5
• mclapply –> parLapply
• estimate_erf output returns S3 object.
• test-Covariate_balance.R –> test-absolute_corr_fun.R
• covariate_balance.R –> absolute_corr_fun.R
• User needs to pass m_xgboost instead of SL.xgboost to use XGBoost package for prediction purposes.

Fixed

• mclapply memory issue (compute_closest_wgps.R).

GPSmatching 0.2.0 (2021-03-01)

Added

• Covariate balance check for categorical data.
• Contribution guidelines
• Parallel flag in training models (mcSuperLearner)
• gen_syn_data function for generating synthetic data
• Unittest for gen_syn_data
• Function to compute residuals and unittest
• Function to impute NA values based on density and unittest
• Function to separate prediction model training (train_it)
• Function to separate min and max value estimation and unittest
• Function to find the closest data based on GPS and w
• Wrapper function to generate pseudo population and test it for covariate balance (gen_pseudo_pop)
• Function to estimate only GPS value (estimate_gps)
• Helper function to take the input data + GPS values and return pseudo population based on selected causal inference approach. The output of this function may or may not satisfy the covariate balance test. (compile_pseudo_pop)
• check_args function to check availability of the required parameters.
• check_covar_balance function to check if the generated pseudo population statistically acceptable.
• create_matching function to generate pseudo population based on matching approach.

Changed

• create_matching only generates matched dataset.
• Covariate_balance.R –> covariate_balance.R
• matching_smooth –> estimate_erf.R
• risk_fun –> compute_risk
• smooth_fun –> smooth_erf
• hatvals –> estimate_hat_vals
• kernel_fun –> generate_kernel
• GPSmatching-package.R –> gpsmatching_package.R
• GPSmatching_smooth.R –> gpsmatching_smooth.R

Removed

• GPSmatching.R functions are separated into smaller functions, and the file is removed.