Comments (4)
Hi @paris007 , as you can see from the docs website we do not recommend this method of install and cannot officially support it, but you can take a shot at getting a working R installation on collab using these instructions: https://eshinjolly.com/pymer4/installation.html#using-pip
Your other option is to pip install directly from github using bayes branch of this repo. It's very experimental and very much WIP, but can be installed entirely through pip. However, this branch uses pymc to fit models rather than lme4 so your results and interpretations may differ.
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Hi @ejolly thank you for your quick reply. I ended up installing conda following instructions here: https://inside-machinelearning.com/en/how-to-install-use-conda-on-google-colab/#:~:text=To%20install%20conda%2C%20a%20library,install%20conda%20with%20the%20condacolab.
Then I ran this : !conda install --channel conda-forge featuretools --yes
I don't know what to do next because running !conda install -c ejolly -c conda-forge -c defaults pymer4
is not making progress.
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here is the error I get:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- pymer4
Current channels:
- https://conda.anaconda.org/ejolly/linux-64
- https://conda.anaconda.org/ejolly/noarch
- https://conda.anaconda.org/conda-forge/linux-64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/linux-64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/linux-64
- https://repo.anaconda.com/pkgs/r/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org/
and use the search bar at the top of the page.
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@ejolly would you please comment on this before I give up and move on.
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Related Issues (20)
- Add option to set seed when boostrapping HOT 2
- Saving Lmer model HOT 2
- Simple slopes and differences in simple slopes for continuous x categorical interactions LMER HOT 1
- Make pymer compatible with most recent python version? HOT 3
- Possible to obtain the estimates from bootstrapping? HOT 1
- Cannot get ANOVA p-values for binomial GLMMs HOT 1
- Installation with Python >= 3.10.0a0? HOT 2
- Create conda-forge version of pymer4
- Speed up standardization of regression coefficients
- Offer `rpy2` free version that uses bayesian estimation via Bambi and Pymc HOT 1
- too large a matrix for LINPACK HOT 1
- Suppressing printing of .fit() HOT 1
- How to specify the number of decimal places in model.fit() HOT 3
- Post-hoc testing support for LM's HOT 1
- Issues with degrees of freedom of my lmer model.
- Bug in likelihood-ratio test p-value calculation for Lmer models HOT 1
- ImportError on lmer HOT 2
- Issue with r-matrix package? HOT 1
- nbinom
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