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# Copyright (c) 2016 - 2024, Adrian Dusa
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, in whole or in part, are permitted provided that the
# following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * The names of its contributors may NOT be used to endorse or promote
# products derived from this software without specific prior written
# permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL ADRIAN DUSA BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
`modelFit` <- function(
model, theory = "", select = NULL, ...
) {
if (!(methods::is(model, "QCA_min") | methods::is(model, "admisc_deMorgan"))) {
admisc::stopError(
"The model should be a minimization object or its negation.",
... = ...
)
}
theory <- admisc::recreate(substitute(theory))
if (is.character(theory)) {
if (length(theory) != 1) {
admisc::stopError(
"Theory should be a single SOP expression.",
... = ...
)
}
}
else {
admisc::stopError(
"Theory should be a SOP expression.",
... = ...
)
}
noflevels <- model$tt$noflevels
snames <- model$tt$options$conditions
if (model$tt$options$use.letters) {
snames <- LETTERS[seq(length(snames))]
}
pims <- model$pims
if (is.element("i.sol", names(model))) {
pims <- lapply(model$i.sol, function(x) x$pims)
names(pims) <- NULL
pims <- do.call("cbind", pims)
solutions <- lapply(model$i.sol, function(x) x$solution)
}
else {
solutions <- list(model$solution)
if (identical(model$options$include, "")) {
if (length(solutions[[1]][[1]]) > 2) {
message("Warning: the negation of the conservative solution is potentially computer intensive.")
}
}
}
if (!is.null(select)) {
if (!is.atomic(select) || !(is.numeric(select) | is.character(select))) {
admisc::stopError(
"Argument 'select' should be a numerical or character vector.",
... = ...
)
}
if (is.character(select)) {
if (!all(is.element(select, names(solutions)))) {
admisc::stopError(
"Component specified with 'select' not found.",
... = ...
)
}
} else if (is.numeric(select)) {
if (any(select > length(solutions))) {
admisc::stopError(
"Numbers in 'select' greater than number of existing solutions.",
... = ...
)
}
}
solutions <- solutions[select]
}
if (max(unlist(lapply(solutions, function(x) sapply(x, length)))) > 4) {
message("Warning: the negation of the such model(s) is potentially computer intensive.")
}
models <- unlist(lapply(solutions, function(x) unlist(lapply(x, paste, collapse = " + "))))
slengths <- unlist(lapply(solutions, length))
if (is.null(names(solutions))) {
names(models) <- "M"
if (slengths > 1) {
names(models) <- paste("M", seq(slengths), sep = "")
}
}
else {
mnum <- unlist(lapply(slengths, function(x) {
mnum <- ""
if (x > 1) {
mnum <- seq(x)
}
paste("M", mnum, sep = "")
}))
names(models) <- paste(mnum, rep(names(solutions), slengths), sep = "-")
}
result <- intersections <- vector(mode = "list", length = length(models))
arglist <- list(snames = snames, noflevels = noflevels)
for (i in seq(length(models))) {
expression <- models[i]
cpims <- pims[, unlist(strsplit(expression, split = " \\+ ")), drop = FALSE]
cpims$model <- admisc::compute(expression, data = model$tt$initial.data)
testheory <- admisc::tryCatchWEM(
cpims$theory <- admisc::compute(
theory,
data = model$tt$initial.data,
enter = ""
)
)
if (!is.null(testheory$error)) {
if (grepl("multi-value", testheory$error)) {
admisc::stopError(
"Theory expression should be specified in multi-value notation.",
... = ...
)
}
}
intersections <- rep("", 4)
negtheory <- negate(theory, snames = snames, noflevels = noflevels)[[1]][1]
negexp <- negate(expression, snames = snames, noflevels = noflevels)[[1]][1]
intersections[1] <- do.call(
admisc::intersection,
c(
list(theory, expression),
arglist
)
)
intersections[2] <- do.call(
admisc::intersection,
c(
list(
negtheory,
expression
),
arglist
)
)
intersections[3] <- do.call(
admisc::intersection,
c(
list(
theory,
negexp
),
arglist
)
)
intersections[4] <- do.call(
admisc::intersection,
c(
list(
negtheory,
negexp
),
arglist
)
)
intnms <- c("model*theory", "model*~theory", "~model*theory", "~model*~theory")
for (nm in seq(4)) {
int <- intersections[nm]
if (int == "") {
cpims[[intnms[nm]]] <- rep(0, nrow(model$tt$initial.data))
}
else {
cpims[[intnms[nm]]] <- admisc::compute(int, data = model$tt$initial.data)
}
}
intersections[intersections == ""] <- "-"
names(intersections) <- intnms
neg.out <- admisc::hastilde(model$tt$options$outcome)
pofobj <- pof(
cpims,
as.numeric(model$tt$initial.data[, admisc::notilde(model$tt$options$outcome)]),
relation = "sufficiency",
neg.out = neg.out
)
pofobj$incl.cov <- pofobj$incl.cov[, 1:3]
pofobj$incl.cov[is.na(pofobj$incl.cov[, 1]), 3] <- NA
pofobj$modelfit <- list(
model = expression,
theory = theory,
intersections = intersections
)
result[[i]] <- pofobj
}
if (length(result) == 1) {
return(result[[1]])
}
return(structure(result, class = "QCA_modelFit"))
}
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