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Pirana nonmem
Pirana nonmem






Some extensively commented example/template configuration files for scm:Īll default parameterizations explicitly using code sectionĭifferent parameterizations for different covariates rawresults Create a rawresults file from a set of list files. precond Estimate a model using preconditioning. parallel retries Run multiple copies of a single model with tweaked initial estimates in parallel. proseval Prosepective evaluation of models. nmoutput2so Convert output from NONMEM to the DDMoRe standardised output format (so). llp Log-Likelihood Profiling around maximum-likelihood parameter estimates. lasso Covariate model building using the lasso method. gls Generalized Least Squares approximations of the residual error model. extended grid non-parametric estimation on the extended grid. execute NONMEM runs are started using one or multiple model files. covmat Create an empirical covariance matrix based on a rawresults file. bootstrap Bootstrap using the percentile or BCa method. boot scm Bootstrapped Stepwise Covariate Model-building. PsN Tools benchmark Benchmarking of NONMEM settings. Documentation Before running PsN PsN Configuration.pdf Known Bugs and Workarounds.pdf PsN common options PsN common options.pdf List of common options for PsN tools.








Pirana nonmem