Man pages for baccione-eawag/EawagSchoolTools
Miscellaneous Tools for Eawag Summer School in Environmental Systems Analysis
| BoxCox | Box-Cox transformation functions |
| calcpdf | Densities of univariate distributions |
| calcpdf_mv | Log density of multivariate normal, lognormal, or product of... |
| Confint | Confidence intervals (eawagSummerSchoolTools) |
| contourpdf | Plotting functions (eawagSummerSchoolTools) |
| EawagSchoolTools-package | Miscellaneous Tools for Eawag Summer School in Environmental... |
| emulator.create | Create emulator |
| emulator.evaluate | Evaluate emulator |
| emulator.pri.mean.lin | Emulator: default model for prior mean |
| emulator.pri.var.normal | Emulator: default model for prior variance |
| evaluate.emulator.GASP | Class method to evaluate emulator |
| Gnls | Generalized nonlinear least squares parameter estimates |
| Gnls.diag | Generalized nonlinear least squares regression diagnostics |
| Gnls.predict | Generalized nonlinear least squares predictions |
| Gnls.test | Generalized nonlinear least squares test statistics |
| Hessian | Hessian |
| ident | Identifiability measures |
| Impsamp | Importance sampling |
| intpol.irregular | Interpolation on an irregular grid |
| Loglikeli | Log likelihood |
| Logposterior | Log posterior |
| Metropolis | Metropolis Markov chain sample |
| model.growth | Example: Growth model |
| model.monod | Example: Monod model |
| model.monod.external | Example: Monod model (external) |
| Plot.chains | Plotting functions (EawagSchoolTools) |
| Plot.margs | Plotting functions (eawagSummerSchoolTools) |
| Plot.res | Plotting functions (eawagSummerSchoolTools) |
| Plot.vars | Plotting functions (eawagSummerSchoolTools) |
| Proposal.dist | Proposal distribution for a Metropolis Markov chain |
| randsamp | Random sampling from multivariate normal, lognormal, or... |
| randsamp.ball | Random sample from an n-dimensional ball |
| resid.diag | Plotting functions (eawagSummerSchoolTools) |
| resid.diag.boxcox | Plotting functions (eawagSummerSchoolTools) |
| sens.loc | Local sensitivities of a deterministic model |
| sens.var.samp | Variance-based sensitivities of a deterministic model |
| Smooth | Smoothing data points |
| Smooth.fun | Smoothing piecewise linear functions |
