New version: Unfold v0.7.0

[JuliaRegistrator]

• Registering package: Unfold
• Repository: https://github.com/unfoldtoolbox/Unfold.jl
• Created by: @behinger
• Version: v0.7.0
• Commit: b7c7ef1f94d740b807b6ff23295e4efe25d4d44d
• Reviewed by: @behinger
• Reference: Ticket to activate JuliaRegistrator for new versions unfoldtoolbox/Unfold.jl#107 (comment)
• Description: Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
• Release notes:

This is a bigger release 🎉 with some clearly breaking changes. For most users, those breaking changes should be near "invisible", but we can't promise it. Update as always without warranty.
## Breaking:
- New major types: 
  - all `UnfoldModel`-types are now parametric types with e.g. Float64 or Missing,Float64, which will make specializations in fitting much easier in the future (e.g. no missing values => faster fit!)
  - Internal: New Trait `ContinuousTimeTrait` making it easier to specify custom types
  - `UnfoldModel` now takes a vector of `AbstractDesignMatrices`, where each `AbstractDesignMatrix` holds only one formula, one table and one modelmatrix. If you used accessorfunctions like `events` and `formulas` not much should change. Those accessor functions were harmonized to produce vectors of content.
- FIR by default does not linearly interpolate anymore. This will help throughout the toolbox with minimal consequences on model-accuracy. That is, if an event-latency is in between two datasamples, it used to be linearly "split up". This now needs to manually activated using interpolate=true in firbasis. In the case of interpolate=false only integer event-latencies are allowed. In practice, this should have little impact, but it will change your numbers slightly.
- `Dict(:A=>(formula,times))` from dict to vector of pairs `[:A=>(formula,times]`
- `coeftable`  column `basisname` renamed to `eventname`, basisfunctions now need to have the same `name` as the event in the Design-specification

## Public renaming (breaking)
old | new
--|--
`predict` | `predicttable` (`predict` now returns a vector of arrays
`formula`| `formulas` (now returns a vector of `StatsFormulas` for all models)

## Internal  renaming

old | new
--|--
`combineDesignmatrices` | `combine_designmatrices`
`equalizeLengths` | `equalize_lengths`
`shiftOnset` | `shift_onset`
`get_modelmatrix` | `modelmatrices`
`randomeffectgroupings`| `random_effect_groupings`
`changeMatSize!` | `change_modelmatrix_size!`
`equalizeReMatlengths!` | `equalize_ReMat_lengths!`
`changeReMatSize!` | `change_ReMat_size!`
`lmm_combineMats!` | `lmm_combine_modelmatrix!`
`extract_symbol` | `termname`
`dropMissingEpcohs`| `drop_missing_epochs`
`DesignMatrix.Xs`| `DesignMatrix.modelmatrix`

New functions & features:
- `BasisFunction` now has a method `height`, in addition to it's `StatsModels.width`
- pretty Term.jl output for models and designmatrices
- massunivariate models by default calculate SE now
- many more docstrings
- documentation fixes @vladdez 
- `residual(uf,data)` function
- fit/solver `show_progress` controls output

Closes: #192 #161 #52 #189 #155

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