# ptmixed 0.2.1

- Released: July 2019
- Added function to compute the empirical Bayes estimates of the random intercept
- Class name of
`ptmixed`

output changed from ptmm to ptglmm
- Corrected typo in
`summary`

function (the MLE of the dispersion parameter was wrongly called “deviance” instead of dispersion in the previous versions)
- Added NEWS file

# ptmixed 0.1.2

- Released: June 2019
- This is a major update aimed at speeding up the maximization of the loglikelihood. When
`ptmixed`

is called, it first attempts to maximize the loglikelihood with the Nelder-Mead algorithm and then, if this fails, with the BFGS algorithm. Until version 0.0.4 the quadrature points were updated at every iteration for both Nelder-Mead and BFGS. Starting from this version, when Nelder-Mead is called it is possible to update the positioning of the quadrature points every *n* iterations by setting the `freq.updates`

argument equal to *n*. Default is set to `freq.updates = 200`

(on average, this makes the optimization 2.5 times faster than when `freq.updates = 1`

)

# ptmixed 0.0.4

- Released: May 2019
`ptmixed`

now outputs extra information (number of quadrature points used, initial values, warnings)
- A mistake in the computation of the GH quadrature points was introduced from version 0.0.2. This has been fixed in this version

# ptmixed 0.0.3

- Released: May 2019
- Fixed a typo in message on initial loglikelihood value that is displayed when
`trace = T`

in `ptmixed`

function
- Added exceptions and warnings for the case that
`maxit[1]`

and/or `maxit[2]`

are set = 0

# ptmixed 0.0.2

- Released: Apr. 2019
- Function
`ptmixed`

does not require the specification of a `time`

argument any more
`maxit`

argument default value in function `ptmixed`

increased to c(1e4, 100)
- Internal function that computes starting values improved
- Added warning with indication that a simpler Poisson mixed model may fit the data sufficiently well
- Added warning when initial estimate of the variance parameter is < 0.001

# ptmixed 0.0.1

- Released: Feb. 2019
- First version of the package