StackOverflow Questions for Tag: binomial-coefficients

John Smith

Reputation: 12236

Fast n choose k mod p for large n?

c++algorithmmodularbinomial-coefficients

Score: 50

Answers: 5

Juse Pallati

Reputation: 41

Fitting a binomial distribution to a curve with python

pythonscipybinomial-coefficients

Score: 0

Answers: 3

ggplotr

Reputation: 1

computing risk ratio and risk difference from binomial models

logistic-regressionmlogitbinomial-coefficientsrisk-analysis

Score: 0

Answers: 0

habaddu arya

Reputation: 139

Finding binomial coefficient for large n and k modulo m

c++algorithmmodulusmodular-arithmeticbinomial-coefficients

Score: 8

Answers: 4

Emmanuel Olaniyan

Reputation: 1

How do I fix the response: Error in contrasts in R

error-handlingglmcontrastbinomial-coefficients

Score: 0

Answers: 0

Mo711

Reputation: 639

Sympy Vector binomial formula

pythonsympybinomial-coefficients

Score: 0

Answers: 0

John M

Reputation: 1

how do I fix this glmer error in r: PIRLS loop resulted in NaN value

rlinear-regressionglmrandom-effectsbinomial-coefficients

Score: 0

Answers: 0

Maren

Reputation: 1

Choose function returns negative values if n >= 13

pythonnumpybinomial-coefficientsncr

Score: -3

Answers: 2

Rick

Reputation: 89

Binomial Coefficient in C program explanation

cbinomial-coefficients

Score: 5

Answers: 1

maryvrx

Reputation: 37

shaded confident interval for two model in the same plot in Rbase

rmodelconfidence-intervalbinomial-coefficients

Score: 0

Answers: 1

Hams

Reputation: 253

Number of combinations (N choose R) in C++

c++combinatoricsbinomial-coefficients

Score: 23

Answers: 8

OLu

Reputation: 77

Carry out Bivariate Probit Model with unbalanced dependent variables in R

rlogistic-regressionbinomial-coefficients

Score: 1

Answers: 0

OneMoreError

Reputation: 7728

Calculating nCr mod p efficiently when n is very large

pythonbinomial-coefficients

Score: 9

Answers: 3

M. Riera

Reputation: 133

Interpretation of hurdle models with estimated marginal means

remmeansbinomial-coefficientsmarginal-effectspscl

Score: 0

Answers: 1

Mark Rewath

Reputation: 11

Efficient python code to calculate partial sum of binomial coefficients

pythonalgorithmcombinationsbinomial-coefficients

Score: 0

Answers: 2

Rodolfo

Reputation: 338

Python - Encoding all possible 5-combinations into an integer

pythonencodingintegercombinationsbinomial-coefficients

Score: 2

Answers: 2

Stakerauo

Reputation: 11

Binomial logistic regression graph interpretation

rggplot2plotlogistic-regressionbinomial-coefficients

Score: 0

Answers: 2

COzzie

Reputation: 1

Turning Logistic Binomial Regression with one Continuous and one Categorical predictor into an equation

rregressionprobabilitybinomial-coefficients

Score: 0

Answers: 0

user4575913

Reputation: 567

Confint() with glm {stats} very, very slow

rglmconfidence-intervalbinomial-coefficients

Score: 9

Answers: 1

Laura Omann

Reputation: 1

Why does R show "NaN" for standard error and p values of coefficients from binomial regression model (using logbin function)?

rregressionnanbinomial-coefficients

Score: 0

Answers: 0

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StackOverflow Questions for Tag: binomial-coefficients

Fast n choose k mod p for large n?

Fitting a binomial distribution to a curve with python

computing risk ratio and risk difference from binomial models

Finding binomial coefficient for large n and k modulo m

How do I fix the response: Error in contrasts in R

Sympy Vector binomial formula

how do I fix this glmer error in r: PIRLS loop resulted in NaN value

Choose function returns negative values if n &gt;= 13

Binomial Coefficient in C program explanation

shaded confident interval for two model in the same plot in Rbase

Number of combinations (N choose R) in C++

Carry out Bivariate Probit Model with unbalanced dependent variables in R

Calculating nCr mod p efficiently when n is very large

Interpretation of hurdle models with estimated marginal means

Efficient python code to calculate partial sum of binomial coefficients

Python - Encoding all possible 5-combinations into an integer

Binomial logistic regression graph interpretation

Turning Logistic Binomial Regression with one Continuous and one Categorical predictor into an equation

Confint() with glm {stats} very, very slow

Why does R show &quot;NaN&quot; for standard error and p values of coefficients from binomial regression model (using logbin function)?

Choose function returns negative values if n >= 13

Why does R show "NaN" for standard error and p values of coefficients from binomial regression model (using logbin function)?