xmeanci1

The data set for which CI will be calculated

The confidence level. The default value is 0.95 (95%)

alpha

Calculates confidence interval of mean for provided
data with desired confidence level. This functions uses bootstrap
resampling scheme for estimanting the CI.

The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is an extensible
package providing optimization driven parameter estimation methods using metaheuristics and
evolutionary computation techniques (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization
for continuous domains, Tabu Search, Evolutionary Strategies, ...) which could be more efficient and require,
in some cases, fewer model evaluations than alternatives relying on experimental design. Currently there
are built in support for models developed with 'Repast Simphony' Agent-Based framework (<https://repast.github.io/>)
and with NetLogo (<https://ccl.northwestern.edu/netlogo/>) which are the most used frameworks for Agent-based modeling.

xmeanci1: xmeanci1

Description

Usage

Arguments

Value