nonlinear mixed-凯发k8网页登录

perform maximum likelihood estimation of population parameters

a nonlinear mixed-effects (nlme) model is a statistical model that incorporates both fixed effects (population parameters) and random effects (individual variations). it recognizes correlations within sample subgroups and works with small sample sizes. you can estimate population parameters while considering individual variations using various mixed-effects methods, such as stochastic approximation of expectation-maximization (saem), first-order conditional estimate (foce), first-order estimate (fo), linear mixed-effects (lme), and restrict lme approximation. for details, see .

apps

	build qsp, pk/pd, and mechanistic systems biology models interactively
simbiology model analyzer	analyze qsp, pk/pd, and mechanistic systems biology models

functions

perform nlme estimation

	perform parameter estimation using simbiology problem object
	fit nonlinear mixed-effects model (requires statistics and machine learning toolbox software)
	simulate and evaluate fitted simbiology model
	simulate a simbiology model, adding variations by sampling the error model
	generate parameters by sampling covariate model (requires statistics and machine learning toolbox software)
	sample error based on error model and add noise to input data
	return a copy of the covariate model that was used for the nonlinear mixed-effects estimation using `sbiofitmixed`
	create dose objects from groupeddata object
	return the simulation results of a fitted nonlinear mixed-effects model
	create design matrix needed for fit
	return simbiology dose object
	create structure containing initial estimates fixed effects needed for fit
	check covariate model for errors

plot nlme results

	plot status of nonlinear mixed-effects estimation
	create box plot showing the variation of estimated simbiology model parameters
	compare simulation results to the training data, creating a time-course subplot for each group
	compare predictions to actual data, creating a subplot for each response
	plot the residuals for each response, using the time, group, or prediction as the x-axis
	plot the distribution of the residuals

objects

data variables and problem object for fitting

	simbiology problem object for parameter estimation
	table-like collection of data and metadata for fitting in simbiology
	object containing information about estimated model quantities
	results object containing estimation results from nonlinear mixed-effects modeling

covariate model

define relationship between parameters and covariates

topics

nlme basics

simbiology allows you to estimate population parameters (fixed effects) while considering individual variations (random effects) using nonlinear mixed-effect techniques.
supported methods for parameter estimation in simbiology
simbiology^® supports a variety of optimization methods for least-squares and mixed-effects estimation problems.
simbiology supports constant, proportional, combined, and exponential error models.

nlme workflows

perform nonlinear mixed-effects modeling using clinical pharmacokinetic data.
estimate model parameters using a simbiology problem object.