pspline.confints.timeseries

data frame of samples as returned by <code><a rd-options="" href="/link/pspline.sample.timeseries?package=pspline.inference&version=1.0.4" data-mini-rdoc="pspline.inference::pspline.sample.timeseries">pspline.sample.timeseries</a></code>

samples

confidence level for calculated confidence intervals

level

Calculates confidence intervals for results of simulation performed by <code><a rd-options="" href="/link/pspline.sample.timeseries?package=pspline.inference&version=1.0.4" data-mini-rdoc="pspline.inference::pspline.sample.timeseries">pspline.sample.timeseries</a></code>

internal

Inference of infectious disease outcomes using generalized additive
(mixed) models with penalized basis splines (P-Splines). See
<https://medrxiv.org/cgi/content/short/2020.07.14.20138180v1>.

Ben Artin

pspline.inference

Estimation of Characteristics of Seasonal and Sporadic
Infectious Disease Outbreaks Using Generalized Additive
Modeling with Penalized Basis Splines

pspline.confints.timeseries function

data frame of samples as returned by <code><a rd-options='' href='pspline.sample.timeseries'>pspline.sample.timeseries</a></code>

Calculates confidence intervals for results of simulation performed by <code><a rd-options='' href='pspline.sample.timeseries'>pspline.sample.timeseries</a></code>

Calculates confidence intervals for results of simulation performed by <code><a rd-options='' href='pspline.sample.timeseries'>pspline.sample.timeseries</a></code> — pspline.confints.timeseries

Calculates confidence intervals for results of simulation performed by <code><a rd-options='' href='pspline.sample.timeseries'>pspline.sample.timeseries</a></code>

Calculates confidence intervals for results of simulation performed by <code><a rd-options="" href="/link/pspline.sample.timeseries?package=pspline.inference&version=1.0.4" data-mini-rdoc="pspline.inference::pspline.sample.timeseries">pspline.sample.timeseries</a></code>

pspline.confints.timeseries: Calculates confidence intervals for results of simulation performed by `pspline.sample.timeseries`

Description

Usage

Arguments

Value