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Dependencies not found for windows #81

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Zinco-Li opened this issue Dec 8, 2021 · 1 comment
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Dependencies not found for windows #81

Zinco-Li opened this issue Dec 8, 2021 · 1 comment
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@Zinco-Li
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Zinco-Li commented Dec 8, 2021

I tried to install automatically by "install_sjSDM(version = c("cpu"))",
such error arose: The following packages are not available from current channels:

  • python=3.1

Then I tried to install manually in cmd, but it seemed like that:
library(sjSDM)
√ torch
x torch_optimizer
x pyro
x madgrad
@MaximilianPi
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Hi @Zinco-Li,

it seems that the installation fails again

for a hot fix, do:

  1. restart RStudio
  2. reticulate::conda_remove('r-reticulate')
  3. reticulate::conda_create('r-reticulate', python_version='3.8')
  4. reticulate::conda_install('r-reticulate',packages = c("pytorch", "torchvision", "torchaudio" ,"-c", "pytorch"))
  5. reticulate::conda_install('r-reticulate',packages = c("pyro-ppl", "torch_optimizer", "madgrad"), pip=TRUE)

@MaximilianPi MaximilianPi added the bug Something isn't working label Dec 8, 2021
@MaximilianPi MaximilianPi mentioned this issue Dec 21, 2021
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MaximilianPi added a commit that referenced this issue Dec 23, 2021
@MaximilianPi
refactor installation
afe36ad 
#81 #79 #78 #71  #48
@MaximilianPi MaximilianPi mentioned this issue Dec 23, 2021
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MaximilianPi added a commit that referenced this issue Jan 5, 2022
@MaximilianPi
Merge pull request #86 from TheoreticalEcology/v1.0.0
2f2e8fa 
# V1.0.0

## Major changes

* revised anova: `sjSDM::anova(...)` corresponds now to a type I anova (removed CV) #76
* `sjSDM::Rsquared()` uses now Nagelkerke or McFadden R-squared (which is also used in the anova) #76
* deprecated `sjSDM::sLVM` because of instability issues and other reasons
* revised `sjSDM::install_sjSDM()`, it works now for all x64 systems/versions #81 #79 #71

## Minor changes

* removed several unnecessary dependencies (e.g. dplyr)
* improved documentation of all functions, e.g. see `?sjSDM`
* new `sjSDM::update.sjSDM` method to re-fit model with different formula(s)
* new `sjSDM::sjSDM.tune` method to fit quickly a model with optimized regularization parameters (from `sjSDM::sjSDM_cv`)

## Bug fixes

* revised memory problem in `sjSDM::sjSDM_cv()` #84
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@MaximilianPi @Zinco-Li