Changes in lqmm

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Version 1.0 (April 29, 2012)

- Package lqmm on CRAN

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Version 1.01 (May 30, 2012)

- Added functions
- Fixed bugs in ll_h_R and ll_h_d (lqmm.c)
- Amended cov.sel (lqmm.R) and psi_mat (lqmm.c)

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Version 1.02 (September 15, 2012)

- Changed lqmControl and lqmmControl parameters (less stringent convergence thresholds) (lqmm.R)
- Changed quadrature default in lqmm (lqmm.R)
- Changed to the function boot.lqmm (lqmm.R) which provides bootstrapped standard errors of the coefficients estimates. The starting values used in each bootstrap sample are by default those from a least squares fit (startQR = FALSE). In previous versions of the package, starting values were taken from the fitted object (startQR = TRUE) to speed up convergence in each bootstrap sample. However, this causes the standard errors to be under-estimated

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Version 1.03 (April 30, 2013)

- Improved documentation
- Changed default lqmmControl(method = "df") to lqmmControl(method = "gs") (lqmm.R)
- References updated
- Fixed bug in covHandling (lqmm.R)
- Produce warning when likelihood ratio test is negative

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Version 1.04 (November 1, 2013)

- Changed license from GPL >= 3 to GPL >= 2
- Added vignette lqmm_manual.pdf
- Improved code and documentation
- Corrected bug in lqm.counts (in previous package versions standard errors were NOT divided by sqrt(n))
- New functions for lqm.counts objects

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Version 1.5 (May 1, 2014)

- Changed versioning
- S3 methods registered
- Introduced new generic functions boot, extractBoot
- Function raneff.lqmm renamed ranef.lqmm
- Function cov.lqmm renamed VarCorr.lqmm
- Imported nlme generic ranef and VarCorr

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Version 1.5.1 (December 10, 2014)

- Changed maintainer's email address
- Corrected bug in qal
- Added constraint on tau in asymmetric Laplace distribution functions
- Added warning when user defines sigma < 0 in asymmetric Laplace distribution functions


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Version 1.5.2 (September 21, 2015)

- Corrected bug in predict.lqm
- Corrected bug in varAL
- Removed rounding of values of 'tau' from lqm and lqmm
- New lqm routine ("gs2") more stable with larger datasets. Default is "gs1". See ?lqmControl for details
- New function predint.lqmm to calculate prediction intervals in lqmm
- Replaced ChangeLog with NEWS (which is more appropriate)
- Acknowledgements: thanks to Nathan Pace for reporting bugs and other issues
