best.rsa2: Compare two polynomial models against the data

In RSAtools: Advanced Response Surface Analysis

Compare two polynomial models against the data

Description

Compare two polynomial models, for example to test parametric constraints in STEP2 of the 3-step identification strategy (see RSAmodel).

Usage

best.rsa2(RSA_object, m1, m2, order = c("wAIC"), robust = TRUE)

Arguments

RSA_object	x an object of class "RSA_object" generated by RSAmodel()
m1	First model to be compared (contained in RSA_object$models)
m2	Second model to be compared (contained in RSA_object$models)
order	Fit index used to determine best-fitting model.
robust	A boolean stating whether robust fit indices should be extracted (default= TRUE)

Value

A table containing fit indices for each model

Examples

##### Test a variant within a family (e.g., FM26_PARALLELASYMWEAK)
##Define variant as constraints
list_variant <- list()
list_variant[["variant1"]] <- c('
####First-order polynomials: variant-specific			
			b1 == -1/4*b2
####Second-order polynomials: variant-specific			
			b5 == b3/2
			b4 == 0
####Third-order polynomials: FM26_PARALLELASYMWEAK			
			b6 == 0
			b7 == 0
			b9 == b8/-3		
')
RSA_NSfit  <- RSAmodel(formula= engagement ~ needs*supplies,
data= sim_NSfit, model= c("FM26_PARALLELASYMWEAK","USER"),
user_model= list_variant)
##Compare variant to best-fitting family (e.g., LRT_pvalue p > .05)
best.rsa2(RSA_NSfit,m1="variant1",m2="FM26_PARALLELASYMWEAK")[2,1:3]

RSAtools documentation built on June 22, 2024, 10:18 a.m.