NEWS

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moult 2.3.0 (2022-06-10)

• Added bootstrap confidence intervals (confint.moult function), estimates of covariance matrix and standard errors.
• Added dfbeta.moult function to check influence of individual observations.
• Updated predict.moult function.
• Components for likelihood function are calculated once and components to return are selected depending on type.
• Fixed format error in help files.

moult 2.2.1 (2022-02-09)

• Fixed error in as.vector(data.frame).

moult 2.2.0 (2021-07-14)

• Fixed error in the calculation of SE(SD in start of moult). Thanks to Les Underhill and Tanya Scott for picking this up.
• Moult scores in half steps can be converted to proportion of feather mass grown, e.g. "5 5 5 5 4.5 2 0 0 0" (ms2pfmg).

moult 2.1.0 (2018-01-12)

• moult_alternative provides alternative parameterization, with halfway date instead of start of moult. Still in testing phase. At later stage will be incorporated into moult function.
• Addition of prec parameter to define measurement precision of moult index (proportion of feather mass grown).
• Bug fix in type 3 likelihood, now more likely to complete optimization.
• New vignette for individual primary analysis.

moult 2.0.0 (2016-05-05)

• Likelihood is calculated differently: not estimated by density but by integrating between y - 0.02 and y + 0.02, where y is the moult score, or PFMG.
• 'moult' function now allows fixed parameters.

moult 1.4 (2014-10-08)

• -- Fixed error in predict.moult.

moult 1.3 (2013-08-08)

• -- Bug fix: moult function did not work when added covariates for standard deviation in start date. Now works, but still only for categorical covariates. -- Improved row and column names for covariance matrix of parameter estimates.

moult 1.2 (2013-01-16)

• -- Added reference to article in Journal of Statistical Software.

moult 1.1 (2012-06-23)

• -- The 'weaver' data set now contains only adult birds, and only observations from years 1988-2005. -- 'formula' in function 'moult' has changed to 'moult.index ~ days | x1 + x2 | y1 + y2 | z1', where the x's are covariates for duration, the y's are covariates for mean start date of moult and the z can be a single categorical covariate for the standard deviation in start of moult. -- The above change depends on package 'Formula'. -- 'moult' now has a 'data' argument, similar to 'lm' or 'glm'. -- 'predict.moult' can now be used for predicting mean start dates at different covariate settings.