npsf v0.8.0 (Release date: 2020-11-22) * added the `exponential` cross-sectional model * fixed various bugs npsf v0.7.1 (Release date: 2020-06-24) * added detailed solution to teradial * intendity variables for DEA (to obtain peers) npsf v0.7.0 (Release date: 2020-06-13) * improved the `sf` function, especially the `4comp` model * fixed various bugs * dropped dependence on randtoolbox and sfsmisc packages * added flexible functions for Halton draws * primes * halton * rescale npsf v0.6.0 (Release date: 2020-05-20) * added the function `tenonradialbc` for bias correction for the Russell measure * smoothed homogeneous * subsampling heterogeneous * added detailed solution to tenonradial * individual thetas and lambdas * intendity variables for DEA (to obtain peers) npsf v0.5.2 (Release date: 2019-09-08) * Fixed various bugs * `truncreg` is made run fast npsf v0.5.1 (Release date: 2019-04-12) * the `4 components` model is added * summary works for 1st and 2nd generation panel data models * Fixed various bugs npsf v0.4.2 (Release date: 2019-01-02) * Fixed various bugs npsf v0.4.1 (Release date: 2018-07-19) * Added sf panel data models * In all models, user optionally * can make all components heteroskedastic and specify the heterskedasticity function, * choose between normal-half-normal and * normal-truncated normal model, and * specify conditional mean function * 1st generation panel data models: time-invariant inefficiency * 2nd generation panel data models: time-variant inefficiency with parametric function of inefficiency evolution npsf v0.3.1 (Release date: 2018-01-17) * Fixed various bugs * Own LP solver instead of glpk * added nobs() method for objects of class 'npsf' * added summary() method for objects of class 'npsf' * added print() method for objects of class 'npsf' * added vcov() method for objects of class 'npsf' (relevant for function 'sf') * added coef() method for objects of class 'npsf' (relevant for function 'sf') npsf v0.2.0 (Release date: 2017-01-19) * Fixed bugs with data preparation * Fixed initial values for truncated regression (truncreg) estimation npsf v0.1.9 (Release date: 2016-09-02) * Fixed some bugs with data preparation * Added truncated regression (truncreg) estimation with lower and upper bounds (which can be specified simultaneously) npsf v0.1.8 (Release date: 2016-07-05) * Added nobs(), coef(), and vcov() for all relevant objects * Added summary() and print() for all relevant objects * Fixed some bugs with names in sf * Fixed documentation npsf v0.1.6 (Release date: 2015-09-20) * Initial release of the npsf package on CRAN