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## sensiPhy 0.7.0
#### Core changes
`sensiPhy` now imports the package `phytools`

#### Major additions
* `sensiPhy` now performs sensitivity analysis by interacting two types of uncertainty at the same time (tree and intra against influ, clade and samp methods)
* `sensiPhy` now performs sensitivity analysis for phylogenetic signal

#### New functions
##### Phylogenetic signal
* `influ_physig()`: Performs sensitivity analysis of influential species for phylogenetic signal estimate (k or lambda)
* `clade_physig()`: Performs sensitivity analysis of influential clades for phylogenetic signal estimate (k or lambda)
* `samp_physig()`: Performs sensitivity analysis of influential species for phylogenetic signal estimate (k or lambda)
* `tree_physig()`: Performs sensitivity analysis of phylogenetic signal estimate (k or lambda) accounting for phylogenetic uncertainty
* `intra_physig()`: Performs sensitivity analysis of phylogenetic signal estimate (k or lambda) accounting for intra-specific variation and measurement errors
##### Interactions for phylolm models
* `tree_intra_phylm()`: Performs sensitivity analysis of interaction between phylogenetic uncertainty and intraspecific variability for phylolm models (linear regression)
* `tree_intra_phyglm()`: Performs sensitivity analysis of interaction between phylogenetic uncertainty and intraspecific variability for phylolm models (logistic regression)
* `tree_clade_phylm()`: Performs sensitivity analysis of interaction between phylogenetic uncertainty and sensitivity to species sampling for phylolm models (linear regression)
* `tree_clade_phyglm()`: Performs sensitivity analysis of interaction between phylogenetic uncertainty and sensitivity to species sampling for phylolm models (logistic regression)
* `tree_influ_phylm()`: Performs sensitivity analysis of interaction between phylogenetic uncertainty and influential species detection for phylolm models (linear regression)
* `tree_influ_phyglm()`: Performs sensitivity analysis of interaction between phylogenetic uncertainty and influential species detection for phylolm models (logistic regression)
* `tree_samp_phylm()`: Performs sensitivity analysis of interaction between phylogenetic uncertainty and sensitivity to species sampling for phylolm models (linear regression)
* `tree_samp_phyglm()`: Performs sensitivity analysis of interaction between phylogenetic uncertainty and sensitivity to species sampling for phylolm models (logistic regression)
* `intra_clade_phylm()`: Performs sensitivity analysis of interaction between intraspecific variability and influential clades for phylolm models (linear regression)
* `intra_clade_phyglm()`: Performs sensitivity analysis of interaction between intraspecific variability and influential clades for phylolm models (logistic regression)
* `intra_influ_phylm()`: Performs sensitivity analysis of interaction between intraspecific variability and influential species detection for phylolm models (linear regression)
* `intra_influ_phyglm()`: Performs sensitivity analysis of interaction between intraspecific variability and influential species detection for phylolm models (logistic regression)
* `intra_samp_phylm()`: Performs sensitivity analysis of interaction between intraspecific variability and species sampling for phylolm models (linear regression)
* `intra_samp_phyglm()`: Performs sensitivity analysis of interaction between intraspecific variability and species sampling for phylolm models (logistic regression)

#### Improvements
* `match_data_phy()` now accepts datasets with no information on species names as row names. If the number of species corresponds to the number of tips a warning informs the user that the function assumes that the dataset and the phylogeny are in the same order.

#### Naming standardization between functions:
* For all `sensiPhy` function the following changes were made:
1. slope -> estimate
2. DF -> DIF
3. model estimates -> sensi.estimates

#### Bug fix
* `Tree `methods: Data order was matching order of the first tree of the multiphylo file only. This bug is now fixed. Data and order matching is now done at each iteration.


## sensiPhy 0.6.0

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