NEWS
ZVCV 2.1.1 (2021-06-30)
- Fixing a bug in the sample pre-processing for the special case of no duplicates + split estimation
- Other small bug fixes
ZVCV 2.1.0 (2020-06-17)
- Making Linux friendly
- Adding more checks of input arguments
- Removing duplicates in kernel methods
- Returning the estimated coefficients in zvcv
- Changing some input arguments for zvcv:
- log_weight --> log_weights
- folds_choose --> folds
- obs_estim --> est_inds and is used to specify the estimation/fitting only samples (with the remainder being used for evaluation of the integrand
- REMOVED obs_estim_choose, the option to specify the samples for each cross-validation fold. I think this level of flexibility would rarely be required and it cause confusion when est_inds is specified.
ZVCV 1.1.0
- Added control functionals, semi-exact control functionals and approximate semi-exact control functionals
ZVCV 0.1.3
- Adding k-fold cross validation to select the polynomial order and doing some documentation improvements
ZVCV 0.1.2
- Speeding up the higher order polynomial matrix getter using C++
ZVCV 0.1.1
- Allows for any order polynomial (with fast implementations available for polynomial orders Q = 1-4 or dimension d = 1)
- A cross validation method which chooses the polynomial order starting at 1 and going to infinity is now implemented (this new method could allow for super-root-N convergence)
ZVCV 0.1.0
- Initial release
- Includes 1st - 4th order zero variance control variates
- Regularisation is based on lasso or more generally elastic net where lambda is chosen using cross-validation and the elastic net parameter is specified