Man pages for lozalojo/mem
The Moving Epidemic Method
| add.alpha | Add an alpha value to a colour... |
| calcular.indicadores | Calculates specificity and sensitivity |
| calcular.indicadores.2.timings | Calculates specificity and sensitivity |
| calcular.map | calculates map curve |
| calcular.optimo | calculates optimum generic function |
| calcular.optimo.criterio | calculates optimum: fixed criteria for slope |
| calcular.optimo.derivada | calculates optimum: second derivative equals 0 (change signs... |
| calcular.optimo.original | calculates optimum: original method: second derivative + axis... |
| calcular.optimo.pendiente | calculates optimum: slope matches the overall slope |
| comparar.metodos | Compares outputs from two methods of locating the epidemic |
| create.calendar | create epidemiological calendar |
| epimem | Deprecated function(s) in the mem package |
| epitiming | Deprecated function(s) in the mem package |
| extraer.datos.curva.map | Extract map curve |
| extraer.datos.epi | Extract epidemic hightest rates |
| extraer.datos.optimo.map | Extract optimum |
| extraer.datos.post.epi | Extract post-epidemic hightest rates |
| extraer.datos.pre.epi | Extract pre-epidemic hightest rates |
| fill.missing | fills in missing values inside the season with smoothing... |
| flucyl | Castilla y Leon influenza crude rates |
| flucylraw | Castilla y Leon influenza standarised rates |
| full.series.graph | Creates the historical series graph of the datasets |
| get.dates | create epidemiological calendar |
| get.epiweek | create epidemiological calendar |
| iconfianza | generic confidence interval calculation function |
| iconfianza.aritmetica | confidence interval for the arithmetic mean using the normal... |
| iconfianza.completo | Int. Confianza de 2 y 1 cola, por encima y por debajo. De la... |
| iconfianza.geometrica | confidence interval for the geometric mean using the... |
| iconfianza.logx | confidence interval for a point (using log transformation and... |
| iconfianza.percentil.boot | confidence interval por the median using bootstrap methods |
| iconfianza.percentil.eqnpar | confidence interval por the median using KC Method |
| iconfianza.percentil.kc | confidence interval por the median using KC Method |
| iconfianza.x | confidence interval for a point (using arithmetic mean) |
| maxFixNA | max function, removing Inf and -Inf |
| maxnvalores | highest n values of a data set, removing Inf and -Inf |
| memevolution | Evolution of estimators |
| memgoodness | Goodness of fit of the mem |
| memintensity | Thresholds for influenza intensity |
| memmodel | Methods for influenza modelization |
| mem-package | mem: The Moving Epidemic Method |
| memstability | Stability of indicators |
| memsurveillance | Creates the surveillance graph of the current season |
| memsurveillance.animated | Creates the animated graph of the surveillance of the current... |
| memtiming | Influenza Epidemic Timing |
| memtrend | Methods for influenza trend calculation |
| minFixNA | min function, removing Inf and -Inf |
| minnvalores | lowest n values of a data set, removing Inf and -Inf |
| missings.inside | returns position of missing values inside the season. Leading... |
| normalizar | standarize data to [0,1] interval |
| optimal.tickmarks | Find tickmarks for a given range of the y-axis that best fit... |
| optimum.by.inspection | Inspection calcultation of the optimum |
| output.ci | function to format output |
| percentage.added | For use with transformseries.multiple |
| processPlots | Full process plots for mem |
| roc.analysis | Analysis of different indicators to find the optimum value of... |
| semana.absoluta | Transforms relative weeks to absolute weeks in a 1-52 normal... |
| suavizado | smoothing regression function |
| transformdata | Data transformation |
| transformdata.back | Data transformation |
| transformseries | Transformation of series of data |
| transformseries.loess | loess transformation |
| transformseries.moving.average | moving average transformation |
| transformseries.multiple | divide a series in parts |
| transformseries.odd | odd transformation |
| transformseries.spline | spline transformation |
| transformseries.twowaves | adjust a mixed model of two normal distributions |
