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@procDecorator.proc_decorator({})
def varmax(self, data: ['SASdata', str] = None,
bound: str = None,
by: [str, list] = None,
causal: str = None,
cointeg: str = None,
condfore: str = None,
garch: str = None,
id: [str, list] = None,
initial: str = None,
model: str = None,
nloptions: str = None,
output: [str, bool, 'SASdata'] = None,
restrict: str = None,
test: str = None,
procopts: str = None,
stmtpassthrough: str = None,
@procDecorator.proc_decorator({'model'})
def phreg(self, data: ['SASdata', str] = None,
assess: str = None,
bayes: str = None,
by: str = None,
cls: [str, list] = None,
contrast: str = None,
effect: str = None,
estimate: str = None,
freq: str = None,
hazardratio: str = None,
id: str = None,
lsmeans: str = None,
lsmestimate: str = None,
model: str = None,
out: [str, bool, 'SASdata'] = None,
random: str = None,
@procDecorator.proc_decorator({})
def shewhart(self, data: ['SASdata', str] = None,
boxchart: str = None,
cchart: str = None,
irchart: str = None,
mchart: str = None,
mrchart: str = None,
npchart: str = None,
pchart: str = None,
rchart: str = None,
schart: str = None,
uchart: str = None,
xrchart: str = None,
xschart: str = None,
procopts: str = None,
stmtpassthrough: str = None,
**kwargs: dict) -> SASresults:
@procDecorator.proc_decorator({})
def x11(self, data: ['SASdata', str] = None,
arima: str = None,
by: [str, list] = None,
id: [str, list] = None,
macurves: str = None,
monthly: str = None,
output: [str, bool, 'SASdata'] = None,
pdweights: str = None,
quarterly: str = None,
sspan: str = None,
tables: str = None,
var: str = None,
procopts: [str, list] = None,
stmtpassthrough: [str, list] = None,
**kwargs: dict) -> SASresults:
"""
@procDecorator.proc_decorator({})
def hpsample(self, data: ['SASdata', str] = None,
cls: [str, list] = None,
performance: str = None,
target: [str, list, dict] = None,
var: str = None,
procopts: [str, list, dict] = None,
stmtpassthrough: [str, list, dict] = None,
**kwargs: dict) -> SASresults:
"""
Python method to call the HPSAMPLE procedure.
@procDecorator.proc_decorator({'input'})
def svmachine(self, data: ['SASdata', str] = None,
autotune: str = None,
code: str = None,
id: str = None,
input: [str, list, dict] = None,
kernel: str = None,
output: [str, bool, 'SASdata'] = None,
partition: str = None,
savestate: str = None,
solver: str = None,
target: [str, list, dict] = None,
procopts: str = None,
stmtpassthrough: str = None,
**kwargs: dict) -> SASresults:
"""
Python method to call the SVMACHINE procedure
@procDecorator.proc_decorator({})
def cusum(self, data: ['SASdata', str] = None,
by: str = None,
inset: str = None,
xchart: str = None,
procopts: str = None,
stmtpassthrough: str = None,
**kwargs: dict) -> SASresults:
"""
Python method to call the CUSUM procedure
@procDecorator.proc_decorator({})
def expand(self, data: ['SASdata', str] = None,
by: [str, list] = None,
convert: str = None,
id: [str, list] = None,
procopts: str = None,
stmtpassthrough: str = None,
**kwargs: dict) -> SASresults:
"""
Python method to call the EXPAND procedure