Comments (1)
I'll have to give this some thought... I'm not the most creative, but perhaps one of the other package developers has an eye for design!
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Related Issues (20)
- Questions about General IPM vignette HOT 2
- log(mean(lambdas)) ≠ mean(log(lambdas)) HOT 4
- Check for convergence in *stochastic* lambda? HOT 1
- in `lambda()` on stochastic IPMs, `log = TRUE` has no effect for `type_lambda = 'last'` or `'all'` HOT 3
- NA warning in define_kernel() can't be silenced HOT 4
- `all.equal()` is too strict for checking for convergence
- env_seq gets unlnisted recursively HOT 8
- Minor inconsistency in output of lambda() HOT 2
- `make_ipm()` hangs when `kernel_seq` is specified HOT 7
- Release ipmr 0.0.5
- stoch_param models for different levels of discrete variation
- as.matrix() method for sub-kernels HOT 1
- changing title in conv_plot() HOT 1
- plot simple ipm HOT 2
- Ipmr cran submission HOT 1
- Remove simple/general distinction HOT 1
- Require user to specify the differential of the state variable in formula
- Specifying constants HOT 2
- Differing mesh sizes for adults and juveniles HOT 7
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